ppxscal/embedding_network huggingface dataset:
Unsupervised approaches for automatic keyword extraction using meeting transcripts
Authors: Feifan Liu, Deana Pennell, Fei Liu, Yang Liu
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

This paper explores several unsupervised approaches to automatic keyword extraction using meeting transcripts. In the TFIDF (term frequency, inverse document frequency) weighting framework, we incorporated part-of-speech (POS) information, word clustering, and sentence salience score. We also evaluated a graph-based approach that measures the importance of a word based on its connection with other sentences or words. The system performance is evaluated in different ways, including comparison to human annotated keywords using F-measure and a weighted score relative to the oracle system performance, as well as a novel alternative human evaluation. Our results have shown that the simple unsupervised TFIDF approach performs reasonably well, and the additional information from POS and sentence score helps keyword extraction. However, the graph method is less effective for this domain. Experiments were also performed using speech recognition output and we observed degradation and different patterns compared to human transcripts.
Micro-hotplates for thermal characterisation of structural materials of MEMS
Authors: P. Csíkvári, P. Fürjes, Cs. Dücs, I. Bársony
Venue: Microelectronics Journal (2009)

Accurate knowledge of mechanical and thermal properties of structural materials used in MEMS is essential for optimum geometric and functional design. The extraction of precise physical properties is rather complicated due to the size effects, the complexity of the structures and the variations of formation processes. This work is intended to determine the thermal properties of silicon-nitride and diamond layers applied in thermal sensor structures by analysing thermal responses of a multilayer micro-heater structure.
Low Power Design Essentials, 1st edition
Authors: Jan Rabaey
Venue:  (2009)

Low Power Design Essentials contains all the topics of importance to the low power designer. The book lays the foundation with background chapters entitled Advanced MOS Transistors and Their Models and Power Basics. These chapters are followed by chapters on the design process including: optimization, architecture and algorithm level, memory, run time, standby logic, and standby memory. Chapters on special topics are also included: power management and modal design, ultra low power, and low power design methodology and flows. The book concludes with a chapter on case studies as well as a chapter on Projection into the Future. These chapters are all based on the extensive amount of teaching that the author has carried out both at universities and companies worldwide. All chapters have been drawn up specifically for self-study. They aim, however, at different levels of understanding. All the chapters start with elementary material, but most also contain advanced material. A new format is used for this book. All slides are included on a CD-ROM, as PDF files and are reproduced in the book, followed by the comments normally given by the teacher. This is advantageous in that the material used for teaching is also the material used by the student, and that only one additional aspect is explained per slide. The student can therefore easily monitor their progress. It is hoped that this new format provides a better structure in both teaching and studying these essential topics. 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
Joint Tracking of Cell Morphology and Motion
Authors: Jierong Cheng, Esther G. Koh, Sohail Ahmed, Jagath C. Rajapakse
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

A new method is proposed for joint tracking of cell morphology and motion from 3D temporal cellular images. We adopt the framework of region-based active contours for segmentation, which is able to cope with objects having blurred boundaries. Motion estimation is performed by optical flow to increase the robustness and accuracy. Cell morphology and motion are modelled via a unified energy formulation and estimated iteratively searching for the minimum energy configuration. Experiments are carried out on synthetic and real cellular images to demonstrate the performance of the method.
Supporting Engagement and Floor Control in Hybrid Meetings
Authors: Rieks Akker, Dennis Hofs, Hendri Hondorp, Harm Akker, Job Zwiers, Anton Nijholt
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)

Remote participants in hybrid meetings often have problems to follow what is going on in the (physical) meeting room they are connected with. This paper describes a videoconferencing system for participation in hybrid meetings. The system has been developed as a research vehicle to see how technology based on automatic real-time recognition of conversational behavior in meetings can be used to improve engagement and floor control by remote participants. The system uses modules for online speech recognition, real-time visual focus of attention as well as a module that signals who is being addressed by the speaker. A built-in keyword spotter allows an automatic meeting assistant to call the remote participant's attention when a topic of interest is raised, pointing at the transcription of the fragment to help him catch-up.
Data Mining of ACO-Based Rough Sets and Application in Construction Projects Cost Analysis
Authors: Shi Huawang, Cao Huishu
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In this paper, the reduction algorithm based on Rough Sets (RS) is proposed as a practical data mining technology. It has been proven that the information system reduction is a NP-hard problem. NP-hard problem is a major property portfolio explosions. Thus, the only solution to this problem is the development of heuristic search method. Ant colony optimization, which was introduced in the early 1990s as a novel technique for solving hard combinatorial optimization problems, finds itself currently at this point of its life cycle.With this article we implying the use of Ant Colony Optimization (ACO) algorithm for resolving the NP-hard problem in rough set attribute reduction. Using ACO-based rough sets, construction projects cost was analyzed and the results show that this method is more convenient and practical compared with the traditional one.
Development of a Green Building Decision Support Tool: A Collaborative Process
Authors: Ben Ewing, Erin Baker
Venue: Decision Analysis (2009)

In this paper, we discuss a collaborative process for developing a decision tool to support decisions around investment in green energy technologies. Our tool was developed specifically for the Hitchcock Center for the Environment, a local environmental education organization, and the development process began as an undergraduate student service learning project. Building on the student projects, we developed an Excel-based tool that allows users to select various combinations of technologies and instantly see the financial, environmental, and educational impacts of their choice. Given our initial parameters and the preferences of the Hitchcock Center staff, the optimal configuration included installing a biomass heating system and a composting toilet, but avoiding investment in other green technologies, yielding an annualized preference-adjusted cost of $5,252.58. Sensitivity analysis indicated that the optimal choice was not sensitive to environmental valuations, and only slightly sensitive to educational values. All participants in the process found the concept and practice of value elicitation to be useful and illuminating.
Real-Time Synthesis of Body Movements Based on Learned Primitives
Authors: Martin A. Giese, Albert Mukovskiy, Aee-Ni Park, Lars Omlor, Jean-Jacques E. Slotine
Venue: Statistical and Geometrical Approaches to Visual Motion Analysis: International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers (2009)

The synthesis of realistic complex body movements in real-time is a difficult problem in computer graphics and in robotics. High realism requires the accurate modeling of the details of the trajectories for a large number of degrees of freedom. At the same time, real-time animation necessitates flexible systems that can react in an online fashion, adapting to external constraints. Such online systems are suitable for the self-organization of complex behavior by the dynamic interaction between multiple autonomous characters in the scene. In this paper we present a novel approach for the online synthesis of realistic human body movements. The proposed model is inspired by concepts from motor control. It approximates movements by superposition of movement primitives (synergies) that are learned from motion capture data applying a new blind source separation algorithm. The learned generative model can synthesize periodic and non-periodic movements, achieving high degrees of realism with a very small number of synergies. For obtaining a system that is suitable for real-time synthesis, the primitives are approximated by the solutions of low-dimensional nonlinear dynamical systems (dynamic primitives). The application of a new type of stability analysis (contraction theory) permits the design of complex networks of such dynamic primitives, resulting in a stable overall system architecture. We discuss a number of applications of this framework and demonstrate that it is suitable for the self-organization of complex behaviors, such as navigation, synchronized crowd behavior and dancing.
Necessary and sufficient conditions for transaction-consistent global checkpoints in a distributed database system
Authors: Jiang Wu, D. Manivannan, Bhavani Thuraisingham
Venue: Information Sciences: an International Journal (2009)

Checkpointing and rollback recovery are well-known techniques for handling failures in distributed systems. The issues related to the design and implementation of efficient checkpointing and recovery techniques for distributed systems have been thoroughly understood. For example, the necessary and sufficient conditions for a set of checkpoints to be part of a consistent global checkpoint has been established for distributed computations. In this paper, we address the analogous question for distributed database systems. In distributed database systems, transaction-consistent global checkpoints are useful not only for recovery from failure but also for audit purposes. If each data item of a distributed database is checkpointed independently by a separate transaction, none of the checkpoints taken may be part of any transaction-consistent global checkpoint. However, allowing individual data items to be checkpointed independently results in non-intrusive checkpointing. In this paper, we establish the necessary and sufficient conditions for the checkpoints of a set of data items to be part of a transaction-consistent global checkpoint of the distributed database. Such conditions can also help in the design and implementation of non-intrusive checkpointing algorithms for distributed database systems.
Mapping and revising Markov logic networks for transfer learning
Authors: Lilyana Mihalkova, Tuyen Huynh, Raymond J. Mooney
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This paper considers transfer learning with Markov logic networks (MLNs), a powerful formalism for learning in relational domains. We present a complete MLN transfer system that first autonomously maps the predicates in the source MLN to the target domain and then revises the mapped structure to further improve its accuracy. Our results in several real-world domains demonstrate that our approach successfully reduces the amount of time and training data needed to learn an accurate model of a target domain over learning from scratch.
A Mobile and Desktop Application for Enhancing Group Awareness in Knowledge Work Teams
Authors: Timo Saari, Kari Kallinen, Mikko Salminen, Niklas Ravaja, Marco Rapino
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

In this paper we present a first prototype for a mobile and desktop system and application for enhancing group awareness in knowledge work teams. The prototype gathers information from the interactions of the group within the application and analyses it. Results are displayed to members of the group as key indexes describing the activity of the group as a whole and the individual members of the group. The advantages of using the prototype are expected to be increased awareness within group possibly leading to positive effects on group performance.
On the impacts of human interactions in MMORPG traffic
Authors: Géza Szabó, András Veres, Sándor Molnár
Venue: Multimedia Tools and Applications (2009)

Game traffic depends on two main factors, the game protocol and the gamers' behavior. Based on a few popular real-time multiplayer games this paper investigates the latter factor showing how a set of typical game phases--e.g., player movement, changes in the environment--impacts traffic on different observation levels. The nature of human behavior has such a high impact on traffic characteristics that it influences the traffic both at a macroscopic--e.g., traffic rate--and at a microscopic--payload content--level. First, by understanding the nature of this impact a user behavior detection algorithm is introduced to grab specific events and states from passive traffic measurements. The algorithms focus on the characteristics of the traffic rate, showing what information can be gathered by observing only packet header information. Second, as an application of our method some results, including a detailed analysis of measurements taken from an operational broadband network, are presented. Third, a novel model and an algorithm are introduced to extend the Deep Packet Inspection traffic classification method with the analysis of non-fix byte signatures, which are not considered in current methods. The model captures the variation of the dynamic byte segments and provides parameters for the algorithm. The introduced algorithm exploits the spatial and temporal correlation by examining and extracting the correlation structure of the traffic and constructing signatures based on the observed correlation. The algorithm is evaluated by examining proprietary gaming traffic and also other known non-gaming protocols.
Inclusion Dependencies in XML: Extending Relational Semantics
Authors: Michael Karlinger, Millist Vincent, Michael Schrefl
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

In this article we define a new type of integrity constraint in XML, called an XML inclusion constraint (XIND), and show that it extends the semantics of a relational inclusion dependency. This property is important in areas such as XML publishing and `data-centric' XML, and is one that is not possessed by other proposals for XML inclusion constraints. We also investigate the implication and consistency problems for XINDs in complete XML documents, a class of XML documents that generalizes the notion of a complete relation, and present an axiom system that we show to be sound and complete.
Wireless Mesh Networking: A Key Solution for Emergency & Rural Applications
Authors: Abdulrahman Yarali, Babak Ahsant, Saifur Rahman
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

All communities whether they are rural or urban will have to respond to safety, disasters, and emergency situations. These situations place a special burden on communication systems for having a fully operational system. Given the shortcomings of current Public Safety and Disaster Recovery, reliable wireless mobile communications that enable real-time information sharing, constant availability, and interagency interoperability are imperative in emergency situation. Wireless Mesh Networks have been receiving a great deal of attention as a broadband access alternative for a wide range of markets, including those in the metro, emergency,public-safety, carrier-access, and residential sectors. This paper provides a background on technology requirements for emergency and public safety communications systems and addresses some of the technical influences of wireless mesh networks. The article describes the capabilities and architecture of the Man-portable, Interoperable, Tactical Operations Center communication system which was funded by the U.S. Department of Homeland Security. It is a modern mobile communications infrastructure well suited for public safety and disaster recovery applications.
A Fast Level Set-Like Algorithm with Topology Preserving Constraint
Authors: Martin Maška, Pavel Matula
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Implicit active contours are widely employed in image processing and related areas. Their implementation using the level set framework brings several advantages over parametric snakes. In particular, a parametrization independence, topological flexibility, and straightforward extension into higher dimensions have led to their popularity. However, in some applications the topological flexibility of the implicit contour is not desirable. Imposing topology-preserving constraints on evolving contours is often more convenient than including additional postprocessing steps. In this paper, we build on the work by Han et al. [1] introducing a topology-preserving extension of the narrow band algorithm involving simple point concept from digital geometry. In order to significantly increase computational speed, we integrate a fast level set-like algorithm by Nilsson and Heyden [2] with the simple point concept to obtain a fast topology-preserving algorithm for implicit active contours. The potential of the new algorithm is demonstrated on both synthetic and real image data. 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
Automated stress detection using keystroke and linguistic features: An exploratory study
Authors: Lisa M. Vizer, Lina Zhou, Andrew Sears
Venue: International Journal of Human-Computer Studies (2009)

Monitoring of cognitive and physical function is central to the care of people with or at risk for various health conditions, but existing solutions rely on intrusive methods that are inadequate for continuous tracking. Less intrusive techniques that facilitate more accurate and frequent monitoring of the status of cognitive or physical function become increasingly desirable as the population ages and lifespan increases. Since the number of seniors using computers continues to grow dramatically, a method that exploits normal daily computer interactions is attractive. This research explores the possibility of detecting cognitive and physical stress by monitoring keyboard interactions with the eventual goal of detecting acute or gradual changes in cognitive and physical function. Researchers have already attributed a certain amount of variability and ''drift'' in an individual's typing pattern to situational factors as well as stress, but this phenomenon has not been explored adequately. In an attempt to detect changes in typing associated with stress, this research analyzes keystroke and linguistic features of spontaneously generated text. Results show that it is possible to classify cognitive and physical stress conditions relative to non-stress conditions based on keystroke and linguistic features with accuracy rates comparable to those currently obtained using affective computing methods. The proposed approach is attractive because it requires no additional hardware, is unobtrusive, is adaptable to individual users, and is of very low cost. This research demonstrates the potential of exploiting continuous monitoring of keyboard interactions to support the early detection of changes in cognitive and physical function.
Directional Force Field-Based Maps: Implementation and Application
Authors: Jingbo Ni, Melanie Veltman, Pascal Matsakis
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

A directional relationship (e.g., right, above) to a reference object can be modeled by a directional map --- an image where the value of each point represents how well the relationship holds between the point and the object. As we showed in previous work, such a map can be derived from a force field created by the object (which is seen as a physical entity). This force field-based model, defined by equations in the continuous domain, shows unique characteristics. However, the approximation algorithms that were proposed in the case of 2-D raster data lack efficiency and accuracy. We introduce here new algorithms that correct this flaw, and we illustrate the potential of the force field-based approach through an application to scene matching.
A Method of Construction of the Chinese and English Bilingual Translation Corpus Based on Web Data Mining
Authors: Dong-fei Liu, Xing Zhou
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The paper introduces a method of construction of the Chinese and English bilingual translation corpus based on web data mining. To collect huge amount of page data by web spider, and identify bilingual web page by a series of complicated purification and analysis process, then analysis the DOM structure of the two page text, we can get the Chinese and English parallel translation corpus and save them to database. As the corpus accumulated by machine automatically, it has higher efficiency, and the translate content come from the internet, original resource is rich and accurate relatively, it can provide a good reference data for translation software.
Preliminary Study of the Systematic Management of Project Claim
Authors: Liu Yun, Xu Wei, Tang Jiong, Liu Xin, Jin Ruijun
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

With the lower profit of construction enterprises these years, that low bid and high claim has been an important means for the construction enterprises to exist and develop, which is an effect approach to make profit maximization. In this paper, the cause, the responsibility and the evidence of the claim events were classified, wit Visual Basic 6.0,PHP and Microsoft SQL Server 2000 that are used to establish the system of systematic management of project claim, which could help construction enterprises systematic management. So they can claim in time and veraciously, maintenance the profit of themselves.
Piecewise Rational Manifold Surfaces with Sharp Features
Authors: G. Vecchia, B. Jüttler
Venue: Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII (2009)

We present a construction of a piecewise rational free-form surface of arbitrary topological genus which may contain sharp features: creases, corners or cusps. The surface is automatically generated from a given closed triangular mesh. Some of the edges are tagged as sharp ones, defining the features on the surface. The surface is $\mathcal C^s$ smooth, for an arbitrary value of s, except for the sharp features defined by the user. Our method is based on the manifold construction and follows the blending approach.