ppxscal/embedding_network huggingface dataset:
EaSd: A System for Extracting and Annotating Structured Data
Authors: Huibin Zhang, Xiaojie Yuan, Zongyun Yang, Yanlong Wen
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Many Web pages are generated dynamically inr esponse to an online query. Structured data are contained in those pages and will be useful for information integration. In this paper, we propose a system, EaSd, to automatically extract data records from those Web pages and annotate the record attributes. Using the VIPS as the data representation format of the Web pages, we deal with those two problems in a uniform process based on the query instance. For data extraction, the VIPS is a better way for Web page representation than tag-tree and makes the extraction result better correspond. EaSd annotates the record attributes with integrated interface schema and has a more consistent and complete annotation result. Also, the experimental results we got show the promise of our approach.
Automobile Driveline Test System Development
Authors: Gangfeng Tan, Xuexun Guo, Bin Wang, Baoyu Wu, Jun Yan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Automobile driveline test system is used to test and study the driveline components and assembly (DCA). This paper introduces the structure and principle of the test system, illuminates the application of frequency conversion technology in the test of the DCA. The drive system commands the drive motor to produce the necessary speed (RPM) and torque to simulate engine power. The actual driving resistances are analyzed systematically and a feasible loading plan is made according to the national test standards for automobile. With the programming of the software LabVIEW, the driving resistance could be accurately simulated based on test requirement by the electric motor which can fulfill the loading in different conditions and of different functions. What’s more, part of the energy used in the test system can be fed back and recycled. Actual tests show that the driveline test system could work peacefully and complete the corresponding tests and researches.
Designing for the Next Generation: Generation-Y Expectations
Authors: Patañjali Venkatacharya, Sean Rice, Lulit Bezuayehu
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)

In designing applications for the next-generation workforce, we considered the requirements of future workforce members (Generation Y). A study was conducted using a wants and needs analysis to analyze a consumer trend toward the use of social networking tools. A significant proportion of future workforce members expected to see consumer social-networking style features in their enterprise applications. The data highlighted specific requirements that provided some further insight into the expectations of future enterprise application users.
A Linear Dielectric EAP Actuator with Large Displacement Output
Authors: Huaming Wang, Chenggang Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In order to increase the displacement output of linear dielectric EAP actuator, influencing factor is analyzed. A diamond four-bar linkage mechanism is used to implement the negative stiffness preload, which is similar to the stiffness curve of actuator and can enlarge the distance between two working equilibrium positions. Analytical and experimental results agree well and both of them show that displacement output of 17mm can be obtained for actuator with negative stiffness preload. Also, the force output of actuator is measured and maximum force is 1.77N when actuator returns. The displacement output improvement and force measurement will be beneficial to the optimization and application of dielectric EAP actuator.
Confronting the Transition: Improving Quality of Life for the Elderly with an Interactive Multisensory Environment---A Case Study
Authors: Phil Ellis, Lieselotte Leeuwen
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Continuing developments in medical science are leading to a general increase in length of life. These have been accompanied by an increase in disabilities and diseases associated with ageing and the quality of life for the old and older old can be seen often to decline progressively. An interactive multisensory environment (iMUSE) has been developed, together with a particular methodology - vibroacoustic sound therapy --- (VAST), to offer the possibility of amelioration for some of these conditions with the aim of providing the opportunity for an improvement of well-being for some elderly and older old people. This paper describes the development of this environment, its modus operandi, and concludes with a case study of an elderly frail man who provides a model for the application of iMUSE in care homes for the elderly frail and mentally infirm.
Implementing Fine/Medium Grained TLP Support in a Many-Core Architecture
Authors: Roberto Giorgi, Zdravko Popovic, Nikola Puzovic
Venue: Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation (2009)

We believe that future many-core architectures should support a simple and scalable way to execute many threads that are generated by parallel programs. A good candidate to implement an efficient and scalable execution of threads is the DTA (Decoupled Threaded Architecture), which is designed to exploit fine/medium grained Thread Level Parallelism (TLP) by using a hardware scheduling unit and relying on existing simple cores. In this paper, we present an initial implementation of DTA concept in a many-core architecture where it interacts with other architectural components designed from scratch in order to address the problem of scalability. We present initial results that show the scalability of the solution that were obtained using a many-core simulator written in SARCSim (a variant of UNISIM) with DTA support.
A Energy Efficient Scheduling Base on Dynamic Voltage and Frequency Scaling for Multi-core Embedded Real-Time System
Authors: Xin Huang, Kenli Li, Renfa Li
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

Multi-core processors, are being implemented in embedded real-time systems because of the increasing computational requirements. And as the demand for concurrent processing and increased energy efficiency grows, power management is now of primary importance. This paper tackles the problem of reducing power consumption for multi-core embedded real-time system. the processor of the system is assumed to have the limitation that all cores must run at the same performance level and implemented Dynamic voltage and frequency scaling (DVS). We proposed a novel scheduling algorithm use Earliest Deadline First (EDF) [1] to guarantee meeting the deadlines of all real time task sets for each core and to make DVS more efficiency. Meanwhile, we considered about leakage power as well. The DVS-EDF algorithm we proposed can save energy more than Simple Power-Aware Scheduling [2] algorithm ranging from 3% to 12%.
An Algorithm of Data Fusion Using Artificial Neural Network and Dempster-Shafer Evidence Theory
Authors: Bing Gong
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

A new algorithm of data fusion using neural networks and Dempster-Shafer (D-S) evidence theory is presented in this paper to overcome these faults of data fusion, i.e., low accurate identification, bad stabilization and solution of uncertainty in some ways under multi-sensor environment. In this paper, according to the characteristic of the information obtained from multi-sensor obtained, firstly we divide obtained features into some groups and set up corresponding neural network to every group, meanwhile we introduce a concept of unknown probability to the goals based on the result of credible probability of these goals, secondly we have a fusion of time and space depending on the transpositional result of the neural networks’ output by D-S evidence theory. This method has the advantage of both neural and D-S evidence theory, and solves the problem that the general ways of data fusion can not identify the multi-sensor’s uncertainty information of great noise at present. At last simulation shows that the method can effectively improve the rate of the targets’ identification and keep great antinoise capacity.
WHO AM I?: A Art Ludic Installation in Virtual Reality
Authors: Sophie Daste, Karleen Groupierre
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

This paper presents the Art Ludic Installation in Virtual Reality, named "WHO AM I?".
Bionic Learning Algorithm Based on Skinner's Operant Conditioning and Control of Robot
Authors: Xiaogang Ruan, Hongge Ren
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Aiming at the problem about the movement balance control of two-wheeled self-balancing mobile robot, a learning algorithm that it is made up of BP neural network and eligibility traces based on the operant conditioning theory is put forward as a learning mechanism of the two-wheeled robot. The algorithm utilizes the characters of eligibility traces about quicker learning speed, higher reliability and ability in resolving effect about delay, so that the two-wheeled robot can obtain the movement balance skills of controlling like a human or animal by interacting, studying and training with unknown environmental, and realize the movement balance control of the two-wheeled robot by using the complex learning algorithm. Finally, a simulation experiment is done and the simulation results show that a learning mechanism of the complex learning algorithm can embodies the stronger skills of self-learning and abilities of balance control of the robot, and it also has the higher research significance in theory and the application value in project.
The Effects of Practice and Speed Stress with Different Stimulus-Response Mappings
Authors: Kim-Phuong L. Vu, Audrey Rabas, Richard Roberson
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)

Stimulus-response (S-R) compatibility refers to better performance with compatible over incompatible S-R mappings. We investigated how a stressor in the form of a time constraint influences performance in choice-reaction tasks with S-R mappings that varied in degree of compatibility. A 600-ms response deadline did increase participants' stress levels as indicated in subject workload reports. Furthermore, the time constraint decreased reaction time and increased error rate more for incompatible (mirror-opposite, mixed and random) mappings compared to compatible mappings. Participants who learned to respond with the incompatible mappings reverted to the more natural, corresponding responses when stressed. However, the effect of the time constraint was reduced when the incompatible mapping was systematic compared to when it was random. Thus, there are benefits of applying systematic rules when designing products for a user population.
On shortest prediction intervals in log-Gaussian random fields
Authors: Victor De Oliveira, Changxiang Rui
Venue: Computational Statistics Data Analysis (2009)

This work considers the problem of constructing prediction intervals in log-Gaussian random fields. New prediction intervals are derived that are shorter than the standard prediction intervals of common use, where the reductions in length can be substantial in some situations. We consider both the case when the covariance parameters are known and unknown. For the latter case we propose a bootstrap calibration method to obtain prediction intervals with better coverage properties than the plug-in (estimative) prediction intervals. The methodology is illustrated using a spatial dataset consisting of cadmium concentrations from a potentially contaminated region in Switzerland.
Investigation to Simulation of Regenerative Braking for Parallel Hydraulic Hybrid Vehicles
Authors: Tao Liu, Jihai Jiang, Hui Sun
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Parallel hydraulic hybrid vehicles (PHHV) have the potential of improving fuel economy by operating the engine in the optimum efficiency range and making use of regenerative braking during deceleration. Based on the analysis of the characteristics of braking in the city drive cycle and high power density of hydraulic hybrid vehicles, a new regenerative braking strategy tailored specially for PHHV was proposed to improve the fuel economy. The simulation results shown that hydraulic regenerative braking strategy reasonably distributed the hydraulic regenerative braking torque and traditional friction braking torque, effectively regenerated braking energy of the vehicle under the premise of safety brake and improved the braking performance.
Evaluating the inferential utility of lexical-semantic resources
Authors: Shachar Mirkin, Ido Dagan, Eyal Shnarch
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

Lexical-semantic resources are used extensively for applied semantic inference, yet a clear quantitative picture of their current utility and limitations is largely missing. We propose system- and application-independent evaluation and analysis methodologies for resources' performance, and systematically apply them to seven prominent resources. Our findings identify the currently limited recall of available resources, and indicate the potential to improve performance by examining non-standard relation types and by distilling the output of distributional methods. Further, our results stress the need to include auxiliary information regarding the lexical and logical contexts in which a lexical inference is valid, as well as its prior validity likelihood.
Researches on Using Robots in Education
Authors: Liang-Yi Li, Chih-Wei Chang, Gwo-Dong Chen
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

Since Seymour Papert (1993) [1] who was the first man to apply robots in education, using robots to support teaching and learning, from secondary school to undergraduate courses to graduate education, has become a popular research topic in recent years [2] [3] [4]. He proposed an approach to learning in the classroom that he calls "constructionism", as opposed to the traditional style of "instructionism". In this approach, students can learn from designing, and assembling their own robots. Since robots capture the imagination of many younger people, they have been validated as useful aids for the teaching of mathematics and physics [5]. Furthermore, the use of robots is not limited to traditional engineering departments but is distributed across a variety of arts and science courses. The use of robotics by nonengineering, nontechnical instructors has been termed a "robotic revolution" [6].
Learning with Few Examples by Transferring Feature Relevance
Authors: Erik Rodner, Joachim Denzler
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use of feature relevance as prior information from similar binary classification tasks. An approach is presented which is capable to use this information to increase the recognition performance for learning with few examples on a new binary classification task. Feature relevance probabilities are estimated by a randomized decision forest of a related task and used as a prior distribution in the construction of a new forest. Experiments in an image categorization scenario show a significant performance gain in the case of few training examples.
Phase Lock Loop Used in Carrier Frequency and in Data Symbols
Authors: António D. Reis, José F. Rocha, Atilio S. Gameiro, José P. Carvalho
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

This work studythe PLL (Phase Lock Loop) applied to systems of carrier frequency and data symbols. In each system, we consider four PLL types, namely the analog, hybrid, combinational and sequential.In the synchronizers for carrier frequency, the fourPLL (Pll-cf) synchronizes directly with the input carrier.In the synchronizers for data symbols, the four PLL (f+Pll-ds) sysnchronizes with the data fundamental harmonic, selected by a previous tuning filter.The objective is to study the various synchronizers and evaluate their output jitter UIRMS (Unit Interval Root Mean Square) versus input SNR (Signal to Noise Ratio).
Towards domain-independent deep linguistic processing: ensuring portability and re-usability of lexicalised grammars
Authors: Kostadin Cholakov, Valia Kordoni, Yi Zhang
Venue: Proceedings of the Workshop on Grammar Engineering Across Frameworks (2008)

In this paper we illustrate and underline the importance of making detailed linguistic information a central part of the process of automatic acquisition of large-scale lexicons as a means for enhancing robustness and at the same time ensuring maintainability and re-usability of deep lexicalised grammars. Using the error mining techniques proposed in (van Noord, 2004) we show very convincingly that the main hindrance to portability of deep lexicalised grammars to domains other than the ones originally developed in, as well as to robustness of systems using such grammars is low lexical coverage. To this effect, we develop linguistically-driven methods that use detailed morphosyntactic information to automatically enhance the performance of deep lexicalised grammars maintaining at the same time their usually already achieved high linguistic quality.
Ground Interpolation for Combined Theories
Authors: Amit Goel, Sava Krstić, Cesare Tinelli
Venue: Proceedings of the 22nd International Conference on Automated Deduction (2009)

We give a method for modular generation of ground interpolants in modern SMT solvers supporting multiple theories. Our method uses a novel algorithm to modify the proof tree obtained from an unsatifiability run of the solver into a proof tree without occurrences of troublesome "uncolorable" literals. An interpolant can then be readily generated using existing procedures. The principal advantage of our method is that it places few restrictions (none for convex theories) on the search strategy of the solver. Consequently, it is straightforward to implement and enables more efficient interpolating SMT solvers. In the presence of non-convex theories our method is incomplete, but still more general than previous methods.
Internet TV Broadcast: What Next?
Authors: Raquel Pérez Leal, Encarna Pastor Martin, Juan Ángel Cachinero
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

The use of broadcast TV channels is growing considerably so that the number of users (scalability) and the need to manage traffic (bandwidth) are challenges for network design and dimensioning. Broadcast and live channels show strict requirements to operate on a continuous basis in content distribution scenarios in terms of delay, huge demand of bandwidth and characterized by very dynamic variations. There arises the need for more efficient applications and network solutions to meet expectations in quality and number of users and, at the same time, make feasible a high degree of penetration of services taken into account that ISPs and network operators infrastructures are increasingly saturated. This paper discusses the existing solutions to distribute video broadcast and describes new emerging concepts from the standpoint of efficient use of bandwidth and network traffic in the Internet environment. Theoretical solutions are proposed at various levels, from application to network, such as the introduction of location in peer-to-peer overlay networks, active provider P2P architecture or P4P which combines peer to-peer technology with information from the network topology and inter-domain multicast.
Why Here and Now
Authors: Antonio Rizzo, Elisa Rubegni, Maurizio Caporali
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

The paper presents our vision in the process of creating new objects and things, based on reducing the estrangement of Internet content consumption by conceiving interaction modalities suitable for social activities occurring in the here-and-now, in real-time and real-place. These aspects should be incorporated in interactive artefacts not only for the contents consumption but also for editing and manipulating information. We present some projects and concepts that go in this direction, and among them we show the design solutions developed in our laboratory that aim to enhance the role of the physical location, social and cultural environment in affecting the contents and the way to interact with them.
An Efficient Replica Location Method in Hierarchical P2P Networks
Authors: Xin Sun, Kan Li, Yushu Liu
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

The existing replica location services mostly deal with read-only data, thus the replica location mechanism is relatively simple. This paper aims to provide global replica view in logic for better supporting all-around replica management to realize optimal replication strategy and replication selection strategy. We present the bidirectional linked list based replica location service (BLL-RLS) on tree-based hierarchical unstructured overlay networks, including the deployment of replica location service and the design of the bidirectional linked list based replica catalog. In the absence of the centralized replication management, it can logically provide a global replica view of the original. Based on the bidirectional linked list based replica catalog, replica location and selection algorithm is also proposed. Simulation results show that the algorithm has better performance.
Practical first-order argumentation
Authors: Philippe Besnard, Anthony Hunter
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

There are many frameworks for modelling argumentation in logic. They include a formal representation of individual arguments and techniques for comparing conflicting arguments. A problem with these proposals is that they do not consider arguments for and against first-order formulae. We present a framework for first-order logic argumentation based on argument trees that provide a way of exhaustively collating arguments and counter-arguments. A difficulty with first-order argumentation is that there may be many arguments and counterarguments even with a relatively small knowledgebase. We propose rationalizing the arguments under consideration with the aim of reducing redundancy and highlighting key points.