ppxscal/embedding_network huggingface dataset:
Supporting Personal Semantic Annotations in P2P Semantic Wikis
Authors: Diego Torres, Hala Skaf-Molli, Alicia Díaz, Pascal Molli
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

In this paper, we propose to extend Peer-to-Peer Semantic Wikis with personal semantic annotations. Semantic Wikis are one of the most successful Semantic Web applications. In semantic wikis, wikis pages are annotated with semantic data to facilitate the navigation, information retrieving and ontology emerging. Semantic data represents the shared knowledge base which describes the common understanding of the community. However, in a collaborative knowledge building process the knowledge is basically created by individuals who are involved in a social process. Therefore, it is fundamental to support personal knowledge building in a differentiated way. Currently there are no available semantic wikis that support both personal and shared understandings. In order to overcome this problem, we propose a P2P collaborative knowledge building process and extend semantic wikis with personal annotations facilities to express personal understanding. In this paper, we detail the personal semantic annotation model and show its implementation in P2P semantic wikis. We also detail an evaluation study which shows that personal annotations demand less cognitive efforts than semantic data and are very useful to enrich the shared knowledge base.
Analysis for the Impact of the Geometric Parameters of Train Seat on Riding Comfort Based on Human Body CAD Models
Authors: Bo Peng, Yue Yang, Lu Huang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Geometric parameters of train seat are key factors to influent riding comfort feeling of passengers. The impact of the geometric parameters of train seat on riding comfort can be analyzed effectively through the seated posture of human body. In CAD environment, the human body CAD models driven by Chinese human body size database are built by constraint equation and parametric modeling method based on a human prototype model. A circular interference check method is proposed to implement adaptive match between the human body CAD model and train seat CAD model. A data collection of joint angles of passengers with different genders and human percentiles are obtained automatically from the human body CAD models in sitting position. A three-level fuzzy comprehensive mathematics model for evaluating the riding comfort of train seat is established. In this model, the three-level structure factor sets are composed of genders, human body percentiles and joint angles, and the evaluation sets are composed of series of train seats with different sizes. The evaluating result is obtained through analyzing the data collection of joint angles of seated posture, which reflect the impact of the geometric parameters of train seat on riding comfort objectively and quantitatively. In this way, the rationality of the geometric parameters of train seat can be analyzed.
Generating plans in concurrent, probabilistic, over-subscribed domains
Authors: Li Li
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

My thesis topic is plan generation in temporal, parallel, probabilistic domains with oversubscribed goals. I have defined a framework that includes two novel extensions. First, the plans can include parallel steps that serve the same goal and increase the probability of success in addition to parallel steps that serve different goals and decrease execution time. Second, already executing plan steps can be terminated if doing so saves resources, to achieve more goals. My algorithm called CPOAO (Concurrent, Probabilistic, Oversubscription AO) can deal with these extensions. In this paper, I summarize the design and implementation of CPOAO and its associated heuristics, and propose a plan of research.
Adaptivity in question answering with user modelling and a dialogue interface
Authors: Silvia Quarteroni, Suresh Manandhar
Venue: Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations (2006)

Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex or controversial answers. We introduce adaptivity in QA and IR by creating a hybrid system based on a dialogue interface and a user model.
Coal Mine Safety on Environmental Sustainability Based on Behavior Science
Authors: Xinjuan Li
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Safety is one of the key problems people concern about most not only at present but also in the future. Currently there are many hidden troubles threatening safety. Particularly, the safety problems in coal mines are very serious and in great need of management and control, because they not only influence human’s increasing demand for energy, but also affect severely environment. Hence, it’s becoming more important to research the relationship between coal mine safety and environmental sustainability. From the angle of Management Science and on the basis of Behavior Science, the paper studied how to guarantee work safety in coal mines by taking advantage of incentive system and means, and regularizing people’s behavior. Only to get rid of the hidden dangerous sources, can coal mine safety and environmental sustainability be ensured.
Reranking and Classifying Search Results Exhaustively Based on Edit-and-Propagate Operations
Authors: Takehiro Yamamoto, Satoshi Nakamura, Katsumi Tanaka
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Search engines return a huge number of Web search results, and the user usually checks merely the top 5 or 10 results. However, the user sometimes must collect information exhaustively such as collecting all the publications which a certain person had written, or gathering a lot of useful information which assists the user to buy. In this case, the user must repeatedly check search results that are clearly irrelevant. We believe that people would use a search system which provides the reranking or classifying functions by the user's interaction. We have already proposed a reranking system based on the user's edit-and-propagate operations. In this paper, we introduce the drag-and-drop operation into our system to support the user's exhaustive search.
Feedback-directed specialization of code
Authors: Minhaj Ahmad Khan
Venue: Computer Languages, Systems and Structures (2010)

Based on feedback information, a large number of optimizations can be performed by the compiler. This information actually indicates the changing behavior of the applications and can be used to specialize code accordingly. Code specialization is a way to facilitate the compiler to perform optimizations by providing the information regarding variables in the code. It is however difficult to select the variables which maximize the benefit of specialization. Also the overhead of specialization and code size increase are the main issues while specializing code. This paper suggests a novel method for improving the performance using specialization based on feedback information and analysis. The code is iteratively specialized after selecting candidate variables by using a heuristic, followed by generation of optimized templates. These templates require a limited set of instructions to be specialized at runtime and are valid for a large number of values. The overhead of runtime specialization is further minimized through optimal software cache of template clones whose instantiation can be performed at static compile time. The experiments have been performed on Itanium-II(IA-64) and Pentium-IV processors using icc and gcc compilers. A significant improvement in terms of execution speed and reduction of code size has been achieved for SPEC and FFTW benchmarks.
Analyzing NSPK with the Applied Pi Calculus
Authors: Xiaojuan Cai, Xiaohong Wu
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

We present a framework for describing and analyzing cryptography protocols based on the Applied Pi calculus. The Needham-Schroeder Publick Key protocol (NSPK for short) and its fixed version by Loweare modeled in thisframework. Authentication is analyzed with the bisimulation method. We get that NSPK is insecure even with only one corrupted party while the fixed version is secure as long as there are two honest parties.
Effect of an Eyesight Recovering Stereoscopic Movie System on Visual Acuity and Asthenopia
Authors: Akihiro Sugiura, Tetsuya Yamamoto, Hiroki Takada, Masaru Miyao
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Relaxing the contracted muscles involved in focus-adjustment around the eyeball, such as the ciliary body and extraocular muscles, is expected to improve pseudomyopia. This hypothesis has led to the development of Dr.REX--an apparatus for recovering eyesight by using a stereoscopic video. In this study, we verified the effects of this apparatus on visual acuity and asthenopia in the short and medium terms. Thirty-two myopic Japanese students participated in this study. We compared the severity of asthenopia in subjects who used Dr.REX and in those who performed close work on video display terminals (VDTs). We determined that the use of the apparatus improved visual acuity in both the short and medium terms. In addition, asthenopia seemed to be less severe in subjects who used Dr.Rex than in those who performed close work on VDTs.
Reordering contigs of draft genomes using the Mauve Aligner
Authors: Anna I. Rissman, Bob Mau, Bryan S. Biehl, Aaron E. Darling, Jeremy D. Glasner, Nicole T. Perna
Venue: Bioinformatics (2009)

Summary: Mauve Contig Mover provides a new method for proposing the relative order of contigs that make up a draft genome based on comparison to a complete or draft reference genome. A novel application of the Mauve aligner and viewer provides an automated reordering algorithm coupled with a powerful drill-down display allowing detailed exploration of results. Availability: The software is available for download at http://gel.ahabs.wisc.edu/mauve. Contact: rissman@wisc.edu Supplementary information:Supplementary data are available at Bioinformatics online and http://gel.ahabs.wisc.edu
Routing-Aware Query Optimization for Conserving Energy in Wireless Sensor Networks
Authors: Jie Yang, Jie Wang
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Processing multiple real-time queries on a multi-hop wireless sensor network while conserving energy is a challenging issue. A naive approach would simply disseminate each query individually, even if the queries contain overlapping information. This imposes excessive energy consumption on sensor nodes in the data paths. We propose a routing-aware query optimization method to conserve energy on these nodes. In particular, we devise an algorithm to reduce query redundancy based on location information, attributes, and time constraints contained in the queries and the routing information of the underlying network. Our simulation results show that our approach can significantly reduce energy consumptions and improve the overall performance of the network.
The Mission Planning Lab: A Visualization and Analysis Tool
Authors: Sarah C. Daugherty, Benjamin W. Cervantes
Venue: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (2009)

Simulation and visualization are powerful decision making tools that are time-saving and cost-effective. Space missions pose testing and evaluation challenges that can be overcome through modeling, simulation, and visualization of mission parameters. The National Aeronautics and Space Administration’s (NASA) Wallops Flight Facility (WFF) capitalizes on the benefits of modeling, simulation, and visualization tools through a project initiative called The Mission Planning Lab (MPL).
Student Attitudes towards Using Culturally-Oriented Educational Games to Improve Programming Proficiency: An Exploratory Study
Authors: Phaedra Mohammed, Permanand Mohan
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

This exploratory study investigates student attitudes towards culturally-oriented educational games for practicing computer programming, where the mainstream culture appeals to all of the students irrespective of their cultural background. We show that a shared appreciation of culture along the lines of humour promotes positive student attitude towards culturally-aware game based learning which in turn is useful for developing proficiency in specific programming skills such as error detection and correction. Details of the exploratory study undertaken using culturally-oriented educational game prototypes are described, along with the results of the study.
Atoms, Bytes and Genes: Public Resistance and Socio-Technical Responses
Authors: Martin Bauer
Venue: Routledge Advances In Sociology (2009)

This book demonstrates the varied contributions of public resistance to technological developments. Bauer compares public resistance to three strategic technologies over the last fifty years (nuclear power, information technology, and genetic engineering), and shows how resistance contributes to efficient and sustainable developments. The theory of this book is based on a functional analogy: like pain, resistance is a signal that things are going wrong; what acute pain does for individual action, resistance does for collective projects, it motivates and defines a more realistic future. The book brings together empirical evidence from a wide range of sources, and integrates the authors own extensive research over the last fifteen years. This empirically grounded study also offers critical discussion of key concepts, such as technology movement, objectification and legitimation, representation and framing, public opinion, attitude, risk perception and public understanding, public participation and resistance, closure and re-opening, mobilization and social influence, issue cycles 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
Morphological interfaces to dictionaries
Authors: Michael Maxwell, William Poser
Venue: Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries (2004)

Languages with complex morphologies present difficulties for dictionaries users. One solution to this problem is to use a morphological parser for lookup of morphologically complex words, including fully inflected words, without the user needing to explicitly know the morphology. We discuss the sorts of morphologies which cause the greatest need for such an interface.
Bector--Chandra type duality in fuzzy linear programming with exponential membership functions
Authors: Pankaj Gupta, Mukesh Kumar Mehlawat
Venue: Fuzzy Sets and Systems (2009)

In this paper, we study a pair of fuzzy primal-dual linear programming problems and calculate duality results using an aspiration level approach. We use an exponential membership function, which is in contrast to the earlier works that relied on a linear membership function. As the fuzzy environment causes a duality gap, we investigate how choosing the exponential membership function impacts this gap. This issue is particularly important for fuzzy linear programming where, in general, the primal and dual objective values may not be bounded.
A Superpolynomial Lower Bound on the Size of Uniform Non-constant-depth Threshold Circuits for the Permanent
Authors: Pascal Koiran, Sylvain Perifel
Venue: Proceedings of the 2009 24th Annual IEEE Conference on Computational Complexity (2009)

We show that the permanent cannot be computed by DLOGTIME-uniform threshold or arithmetic circuits of depth o(log log n) and polynomial size.
zymake: a computational workflow system for machine learning and natural language processing
Authors: Eric Breck
Venue: Software Engineering, Testing, and Quality Assurance for Natural Language Processing (2008)

Experiments in natural language processing and machine learning typically involve running a complicated network of programs to create, process, and evaluate data. Researchers often write one or more UNIX shell scripts to "glue" together these various pieces, but such scripts are suboptimal for several reasons. Without significant additional work, a script does not handle recovering from failures, it requires keeping track of complicated filenames, and it does not support running processes in parallel. In this paper, we present zymake as a solution to all these problems. zymake scripts look like shell scripts, but have semantics similar to makefiles. Using zymake improves repeatability and scalability of running experiments, and provides a clean, simple interface for assembling components. A zymake script also serves as documentation for the complete workflow. We present a zymake script for a published set of NLP experiments, and demonstrate that it is superior to alternative solutions, including shell scripts and makefiles, while being far simpler to use than scientific grid computing systems.
A Novel Processor Architecture for McEliece Cryptosystem and FPGA Platforms
Authors: Abdulhadi Shoufan, Thorsten Wink, Gregor Molter, Sorin Huss, Falko Strentzke
Venue: Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (2009)

McEliece scheme represents a code-based public-key cryptosystem. So far, this cryptosystem was not employed because of efficiency questions regarding performance and communication overhead.This paper presents a novel processor architecture as a high-performance platform to execute key generation, encryption and decryption according to this cryptosystem. A prototype of this processor is realized on Virtex-5 FPGA and tested via a software API. A comparison with a similar software solution highlights the performance advantage of the proposed hardware solution.
Application of fuzzy minimum cost flow problems to network design under uncertainty
Authors: Mehdi Ghatee, S. Mehdi Hashemi
Venue: Fuzzy Sets and Systems (2009)

This paper deals with fuzzy quantities and relations in multi-objective minimum cost flow problem. When t-norms and t-conorms are available, the goal programming is applied to minimize the deviation among the multiple costs of fuzzy flows and the given targets when the fuzzy supplies and demands are satisfied. To obtain the most optimistic and the most pessimistic satisficing solutions of this problem, two polynomial time algorithms are introduced applying some network transformations. To demonstrate the performance of this approach in actual substances, network design under fuzziness is considered and an efficient scheme is proposed including genetic algorithm together with fuzzy minimum cost flow problem. This scheme is applied on a pilot network for more description.
Brand Avatar: Translating Virtual World Branding into Real World Success
Authors: Alycia de Mesa
Venue:  (2009)

Brand Avatar is a look at business and branding strategies within the Internets latest phenomena of virtual worlds. Virtual world web sites such as Second Life and There.com have already garnered millions of users around the world, representing a cross section of ages, ethnicities and purchasing power. Virtual world "residents" use and spend real money within the fictional-turned-real-life economies. Companies as diverse as Adidas, Pontiac, Jean-Paul Gaultier, MTV, and virtual world agencies based on real life ad and web agencies have all plunged into these unchartered waters to give their brands a virtual presence, using varied strategies and tactics.Brand Avatar covers the emergence of virtual world web sites, the culture and psychographic profile of virtual world users, the companies represented and the effectiveness of their business and branding strategies as well as the challenges that have emerged as a result of these worlds such as creating worldwide virtual world standards and intellectual property theft. This is a must read for any business person looking to gain a quick overview of the virtual world landscape and the value virtual worlds hold for companies and their brands. 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
Unobstrusive heart rate and respiratory rate monitor embedded on a wheelchair
Authors: Octavian Postolache, Pedro Silva Girao, Joaquim Mendes, Gabriela Postolache
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

A biomedical system embedded on a wheelchair able to measure heart rate, respiratory rate, and the wheelchair motion state is presented. A wireless multi-channel acquisition module is connected to a BCG (ballistocardiography) unit and to an inertial 3-axial MEMS accelerometer based unit. The sensing units are embedded on the seat and backrest of the wheelchair and the acquired data is transmitted through Wi-Fi connection to a remote processing unit expressed by a laptop PC. Considering the different motion situations of the wheelchair when utilized by the user, an important part of the work was focused on BCG noise and artifacts removal as well as to heart rate and respiratory rate accurate estimation from BCG signal using wavelet based filtering and ICA (Independent Component Analysis) algorithms. Experimental results for different scenarios of wheelchair utilization are included in the paper.
A neural network approach to normality testing
Authors: J. Sigut, J. Piñeiro, J. Estévez, P. Toledo
Venue: Intelligent Data Analysis (2006)

The aim of this work is to provide a new approach to the classical problem of determining whether or not a set of data has been sampled from a univariate normal distribution. A simple neural network architecture is proposed as an efficient way of combining and reinforcing the discriminatory capabilities of different popular statistics commonly used in conventional hypothesis testing procedures. Special emphasis is placed on the fact that these procedures lack a reliable measure of the degree to which the observed data supports the normality assumption. Several authors have shown that the so-called P-values are inefficient and ambiguous when dealing with this matter, so the Bayesian posterior probabilities are suggested as the best candidates to play this role. For this reason, a significant part of our work has focused on training the neural networks so that their outputs accurately approximate these probabilities.
Asymptotic efficiency of kernel support vector machines (SVM)
Authors: V. I. Norkin, M. A. Keyzer
Venue: Cybernetics and Systems Analysis (2009)

The paper analyzes the asymptotic properties of Vapnik's SVM-estimates of a regression function as the size of the training sample tends to infinity. The estimation problem is considered as infinite-dimensional minimization of a regularized empirical risk functional in a reproducing kernel Hilbert space. The rate of convergence of the risk functional on SVM-estimates to its minimum value is established. The sufficient conditions for the uniform convergence of SVM-estimates to a true regression function with unit probability are given.