ppxscal/embedding_network huggingface dataset:
Chinese-Uighur Sentence Alignment Based on Hybrid Strategy with Mistake Spread Suppression
Authors: Shengwei Tian, Turgun Ibrahim, Hasan Umal, Long Yu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

This paper proposes a Hybridalgorithm based on mistake spread suppression to align Chinese-Uighur Sentences. Aiming at the shortcoming of mistake spread in alignment algorithm based on length, this paper presents a new kind of suppression strategy for mistake spread. This strategy omits Chinese segmentation and processing for pos tagging. By using characteristics of punctuation, sentence length and Chinese-Uighur correspondence information,the anchor points with 1:1 pattern sentence pairs are identified to suppress mistakes spread. Among anchor points, a hybrid strategy based on both length and punctuation is used to align sentences. Experimental results verified the high precision of identifying anchor points and the effective restraint of the spread of alignment mistakes; Hybridalignment algorithm avoids the weakness of high time complexity alignment algorithms based on word. In addition, its performance is improved more compare with traditional alignment algorithms, and alignment mistake ratio is reduced from 4.8% to 2.3%.
Spatiotemporal Access Control Enforcement under Uncertain Location Estimates
Authors: Heechang Shin, Vijayalakshmi Atluri
Venue: Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII (2009)

In a mobile environment, user's physical location plays an important role in determining access to resources. However, because current moving object databases do not keep the exact location of the moving objects, but rather maintain their approximate location for reasons of minimizing the updates, the access request evaluation cannot always guarantee the intended access control policy requirements. This may be risky to the system's security, especially for the highly sensitive resources. In this paper, we introduce an authorization model that takes the uncertainty of location measures into consideration for specifying and evaluating access control policies. An access request is granted only if the confidence level of the location predicate exceeds the predefined uncertainty threshold level specified in the policy. However, this access request evaluation is computationally expensive as it requires to evaluate a location predicate condition and may also require evaluating the entire moving object database. For reducing the cost of evaluation, in this paper, we compute lower and upper bounds (R min and R max ) on the region that minimize the region to be evaluated thereby allowing unneeded moving objects to be discarded from evaluation. We show how R min and R max can be computed and maintained, and provide algorithms to process access requests.
Integrating and Delivering Sound Using Motion Capture and Multi-tiered Speaker Placement
Authors: Darin E. Hughes
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Creating effective and compelling soundscapes for simulations is a challenging process that requires non-traditional tools and techniques outside the scope of standard production methods. In an immersive simulation, sound is at least as important as graphics; auditory cues can be heard from behind walls, around corners, and out of the line of sight. This paper describes a novel approach to interactive 3D sound design utilizing vision-based motion capture and multi-tiered, configurable loudspeaker delivery.
Network Construction on Reverse Logistics of Discarded and Used Household Appliances
Authors: Meng Xiangru, Zhang Yongjie, Song Wei
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In the world, China is one of greatest nation that products and expends lots of electrical appliances. Since the year of 2003, China's household appliances have entered the peak of obsolescence, which discards approximately more than 30 million every year. As China basically hasn't constructed regular reverse logistics system of discarded and used household appliances at present, the majority of them cannot be effectively recycled. The using period of household appliances will be shortened gradually and replace speed will be quickened with the development of science and technology, which aggravate the production speed of waste household appliances further. The waste household appliances contain much substance that harms human environment and a lot of resources that can be reused. If they are not disposed properly, our living environment will be polluted and many resources that can be reused will be wasted. This paper established a reverse logistics model of discarded and used household appliances. On the basis of the above research, built models based on the analysis, through example of mixed integer linear planning models based on the new reverse logistics network optimization model role.
Research on knowledge practices with the contextual activity sampling system
Authors: Hanni Muukkonen, Mikko Inkinen, Kari Kosonen, Kai Hakkarainen, Petri Vesikivi, Hanna Lachmann, Klas Karlgren
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

The Contextual Activity Sampling System (CASS) research methodology and the CASS-Query application have been developed for contextually tracking of activities with a mobile phone. The method relies on frequent sampling of participants' practices and affects during periods of intensive follow-up. Two research designs provide an account of the methodological development work and the possibilities offered by CASS. The first study followed five student-groups longitudinally to examine evolution of academic knowledge practices. The findings from the second year data-collection show that trialogical practices were considered challenging, but often generated optimal-flow experiences. The second study investigated interprofessional work during a clinical course. Based on this pilot study, it was concluded that the data collected about activities and experiences over time extend the understanding of students' practices beyond what can be acquired by post-course questionnaires and can help in development of the design of interprofessional education in medicine and healthcare.
Computing Exact Approximations of a Chaitin Omega Number: A Glimpse of Randomness
Authors: Chi-Kou Shu
Venue:  (2009)

In this monograph,the research aimed to compute some exact bits of a Chaitin Omega number. A Chaitin Omega numbers are halting probabilities of a specific mathematical model of the ubiquitous PC called 'self- delimiting Turing machine'. In 1936,Turing showed that no mechanical procedure and therefore no formal axiomatic theory can solve Turing's halting problem, the question of whether a given computer program will eventually halt. An Omega number combines all instances of Turing's halting problem into a paradoxical real number. Its binary digits or bits are algorithmically random and cannot be distinguished from the the result of independent toss of a fair coin. Omega has a simple mathematical definition,but it does not enable us to determine more than finitely many of its digits and no other definition can do it better. Furthermore,as nobody before was able to compute any exact bit of a natural Omega number, the carrying on the computation is much more demanding than solving Turing's halting problem. We reviewed the properties of Omega numbers leading to the computation of approximations to obtain initial exact 64 bits of a Chaitin Omega number. 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
Photoacoustic Method to Detect CO and Soot Particles Generated by Fire
Authors: Tao Chen, Hongyong Yuan, Zhanhui Sun
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

This paper presents a method to detect both fire produced gas and soot particles in the environmental air. CO gas and soot particles in fire smoke can both produce photoacoustic (PA) signal due to their light absorption. In this mothod, different light sources were used to excite PA signal from the two absorbers. CO gas has narrow absorption lines, while soot absorbs light in wide range of infrared spectrum. Here an open PA cell was used to allow the gas and soot particles to enter it by diffusion. When the investigated mixture in the PA cell is alternately illuminated by modulated laser beams at CO absorption line and another reference spectrum, it will produce different PA signals. They are devised to represent separately the summation of gas and soot absorption and the soot absorption. By establishing a relationship between the signals, the gas induced and soot induced photoacoustic signal can be achieved individually. Then, their concentration can be calculated.
Mastering Maya 2009
Authors: Eric Keller
Venue:  (2009)

The Ultimate Maya 2009 Resource for Intermediate to Advanced Users If you already know the basics of Maya, now you can elevate your skills with Maya 2009 and the advanced coverage in this authoritative new reference and tutorial. From modeling, texturing, animation, and visual effects to high-level techniques for film, television, games, and more, this book provides professional-level instruction on Maya Complete and Maya Unlimited. This fully updated book brings you up to speed on Maya 2009's new features and expands your skills with advanced instruction on cloth, fur, and fluids. You'll learn Dynamics, Maya Muscle, Stereo Cameras, Assets, rendering with mental ray, and more. Filled with challenging tutorials and real-world scenarios from some of the leading professionals in the industry, this one-of-a-kind guide gives you valuable insight into the entire CG production pipeline. If you've been looking for a complete, professional-quality Maya resource to turn to again and again, this is the book for you. 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
Numerical simulation of three-dimensional nonlinear water waves
Authors: Liwei Xu, Philippe Guyenne
Venue: Journal of Computational Physics (2009)

We present an accurate and efficient numerical model for the simulation of fully nonlinear (non-breaking), three-dimensional surface water waves on infinite or finite depth. As an extension of the work of Craig and Sulem [19], the numerical method is based on the reduction of the problem to a lower-dimensional Hamiltonian system involving surface quantities alone. This is accomplished by introducing the Dirichlet-Neumann operator which is described in terms of its Taylor series expansion in homogeneous powers of the surface elevation. Each term in this Taylor series can be computed efficiently using the fast Fourier transform. An important contribution of this paper is the development and implementation of a symplectic implicit scheme for the time integration of the Hamiltonian equations of motion, as well as detailed numerical tests on the convergence of the Dirichlet-Neumann operator. The performance of the model is illustrated by simulating the long-time evolution of two-dimensional steadily progressing waves, as well as the development of three-dimensional (short-crested) nonlinear waves, both in deep and shallow water.
Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking
Authors: Elizabeth M. Daly
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

The “wisdom of the crowds” is a concept used to describe the utility of harnessing group behaviour, where user opinion evolves over time and the opinion of the masses collectively demonstrates wisdom. Web 2.0 is a new medium where users are not just consumers, but are also contributors.By contributing content to the system, users become part of the network and relationships between users and content can be derived. Example applications are collaborative bookmarking networks such as del.icio.us and file sharing applications such as YouTube and Flickr. These networks rely on user contributed content, described and classified using tags. The wealth of user generated content can be hard to navigate and search due to difficulties in comparing documents with similar tags and the application of traditional information retrieval scoring techniques are limited. Evaluating the time evolving interests of users maybe used to derive quality of content. In this paper, we propose a technique to rank documents based on reputation. The reputation is a combination of the number of bookmarkers, the reputation of the bookmarking user and the time dynamics of the document.Experimental results and analysis are presented on a large collaborative IBM bookmarking network called Dogear.
Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease
Authors: Minghao Piao, Jong Bum Lee, Khalid E. Saeed, Keun Ho Ryu
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Previous studies show that using significant classification rules to accomplish the classification task is suitable for bio-medical research. Discovery of many significant rules could be performed by using ensemble methods in decision tree induction. However, those traditional approaches are not useful for incremental task. In this paper, we use an ensemble method named Cascading and Sharing to derive many significant classification rules from incrementally inducted decision tree and improve the classifiers accuracy.
An empirical approach to the interpretation of superlatives
Authors: Johan Bos, Malvina Nissim
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

In this paper we introduce an empirical approach to the semantic interpretation of superlative adjectives. We present a corpus annotated for superlatives and propose an interpretation algorithm that uses a wide-coverage parser and produces semantic representations. We achieve F-scores between 0.84 and 0.91 for detecting attributive superlatives and an accuracy in the range of 0.69--0.84 for determining the correct comparison set. As far as we are aware, this is the first automated approach to superlatives for open-domain texts and questions.
Attentional Triangulation: Learning from Unexpected Rare Crises
Authors: Claus Rerup
Venue: Organization Science (2009)

Attention to weak cues lies in the eyes of the beholder, but there are ways to entice such cues into collective view. To examine the link between attention to weak cues and learning from rare events, I use longitudinal, qualitative data to develop an attention-based perspective on how organizations learn from a crisis, a specific type of rare event. Learning from a crisis involves understanding why the crisis occurred and developing organizational designs for preventing the crisis from reoccurring. My data illustrate how disparity in attention to issues across the chain of command and the inability to coherently attend to weak signs of danger resulted in an unexpected crisis at Novo Nordisk, a world leader in diabetes care. The main contribution of my study is the development of the concept of attentional triangulation, which refers to the intersection of three interdependent dimensions of organizational attention (stability, vividness, and coherence) to identify issues that have the potential of having critical consequences for the organization. I also elaborate on the structures and processes that organizations can enact to facilitate attention triangulation for learning from rare events.
Search Engine Design Based on Web Service and Lucene
Authors: Hongbin Zhang, Juefu Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Web service is selected as the key technology to design a search engine based on B/S architecture. Several spider clients are deployed on many computers to finish crawling web pages in this B/S architecture after all web pages have been analyzed and purified. And some useful web pages are stored into database for index design. These spider clients are controlled by a spider server. Finally some indexes are created according to these web pages by Lucene so that the search engine could offer search services for any web user. Furthermore, the spider clients communicate with the server by Microsoft Message Queue and lots of important data-operated functions are designed as many web methods in web service. Final experiments show that distributed spider system of the search engine is more efficient than only one spider system.
Soft Threshold Based Cluster-Head Selection Algorithm for Wireless Sensor Networks
Authors: Rong Ding, Bing Yang, Lei Yang, Jiawei Wang
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

In recent years, many clustering algorithms have been proposed. Among them, LEACH is the most famous one. However, in LEACH, within each 1/p rounds, once a node has been selected as a cluster-head (CH), its threshold will be set to 0, and thus it will lose the chance to participate cluster-head selection, even if it still has enough energy. In this paper, we present a novel cluster-head selection algorithm. Instead of changing the threshold to 0 directly, the proposed algorithm adjusts the threshold of each node gradually according to the roles they have played in the last round, so more nodes could have the opportunity to be CHs. Simulation results show that the proposed algorithm outperforms LEACH in network lifetime by an average of 30% approximately.
UBC-AS: a graph based unsupervised system for induction and classification
Authors: Eneko Agirre, Aitor Soroa
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper describes a graph-based unsupervised system for induction and classification. The system performs a two stage graph based clustering where a cooccurrence graph is first clustered to compute similarities against contexts. The context similarity matrix is pruned and the resulting associated graph is clustered again by means of a random-walk type algorithm. The system relies on a set of parameters that have been tuned to fit the corpus data. The system has participated in tasks 2 and 13 of the SemEval-2007 competition, on word sense induction and Web people search, respectively, with mixed results.
Synaptic Plasticity as Agent Communication
Authors: Subha Fernando, Yuichi Nakamura, Shuichi Matsuzaki, Ashu Marasinghe
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

Neurons are considered as main computational units of the human brain, are working together with millions of synapses to convey information. The processes of information decoding and neurons’ communication mechanisms are still in a debate. Apart from the numerous researches into those areas, significant attention has given to the synaptic plasticity, which is suspected to have direct relationship with information processing of neurons. As per the biology, synaptic computation can be mainly divided into three plasticity processes, homeostasis, short-term and long-term. The long-term plasticity is considered as the main phenomena related to learning and memory formation; the roles of short-term plasticity and homeostasis plasticity have direct influences to synaptic efficacy and thereby to long-term plasticity. A few researches are being carried out to in cooperate the homeostasis plasticity to Artificial Neural Networks, are still unable to find real integrated mechanism without damaging to learning process. This paper proposes a new model for synaptic computation. In our approach, we understand the neurons as agents consisting of large number of constituent agents those play the roles of synapses, as transmitters or receivers. The statuses of these constituent agents are subjected to homeostasis and short-term plasticity. The number of active transmitters is an in-parameter for the learning processes. With the proposed model, through the active number of transmitters, learning can be explained as integrated process of three plasticity processes.
A subject-specific software solution for the modeling and the&#x00a0;visualization of muscles deformations
Authors: Xavier Maurice, Anders Sandholm, Nicolas Pronost, Ronan Boulic, Daniel Thalmann
Venue: The Visual Computer: International Journal of Computer Graphics (2009)

Today, to create and to simulate a virtual anatomical version of a subject is useful in the decision process of surgical treatments. The muscular activity is one of the factors which can contribute to abnormal movements such as in spasticity or static contracture. In this paper, we propose a numerical solution, based on the Finite Element (FE) method, able to estimate muscles deformations during contraction. Organized around a finite element solver and a volumetric environment, this solution is made of all the modeling and simulation processes from the discretization of the studied domain to the visualization of the results. The choices of materials and properties of the FE model are also presented such as the hyperelasticity, the contention model based on inter-meshes neighboring nodes pairing, and the estimation of nodal forces based on the subject-specific muscular forces and action lines.
Multimodal Interaction within Ambient Environments: An Exploratory Study
Authors: Yacine Bellik, Issam Rebaï, Edyta Machrouh, Yasmin Barzaj, Christophe Jacquet, Gaëtan Pruvost, Jean-Paul Sansonnet
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Inputs and outputs are not two independent phenomena in multimodal systems. This paper examines the relationship that exists between them. We present the results of a Wizard of Oz experiment which shows that output modalities used by the system have an influence on the users' input modalities for a large category of users. The experiment took place in a smart room. This kind of environment does not require any particular knowledge about computers and their use and thus allowed us to study the behavior of ordinary people including subjects who are not familiar with computers. The experiment also shows that speech is a favorite modality within smart room environments for a large part of users. We think that the results presented in this paper will be useful for the design of intelligent multimodal systems.
Supporting Scenario-Based Product Design and Its Adapters: An Informal Framework for Scenario Creation and Use
Authors: Irene Anggreeni, Mascha Voort
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

This paper proposes a support tool for designers who have realized the potential benefits of using a scenario-based approach, yet need a more concrete guidance for its implementation. As an informal framework for scenario creation and use, the tool supports three areas: (1) documenting the large amount of design information, (2) making sense of and summarizing the information by creating scenarios, and (3) sustaining an integrated use of the scenarios throughout the design process. By making explicit and supporting the process of using scenarios, we expect that designers can better structure their design information, communicate their ideas and confirm their rationales. Our ongoing work includes the verification of the tool concept and the development of a testable prototype.