ppxscal/embedding_network huggingface dataset:
SemEval-2010 task 17: all-words word sense disambiguation on a specific domain
Authors: Eneko Agirre, Oier Lopez de Lacalle, Christiane Fellbaum, Andrea Marchetti, Antonio Toral, Piek Vossen
Venue: Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (2009)

Domain portability and adaptation of NLP components and Word Sense Disambiguation systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledgebased WSD systems. Unfortunately, all existing evaluation datasets for specific domains are lexical-sample corpora. With this paper we want to motivate the creation of an allwords test dataset for WSD on the environment domain in several languages, and present the overall design of this SemEval task.
Detection of Hydroxyl Radicals in Catalytic Ozonation by Using ESR Spectroscopy
Authors: Xue-dong Zhai, Qun-hui Wang, Jun Ma, Hong-sheng Zhang, Jun Deng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Generation of hydroxyl radical (·OH), one of the major reactive species in the ozonation of water, was directly measured with an electron spin resonance (ESR) spectroscopy. Hydroxyl radical in ozonated water was trapped with 5,5-dimethyl-pyrrolidine-1-oxyl (DMPO) as a stable radical, DMPO-OH, and the amount of DMPO-OH was measured with an ESR spectrometer. The ESR signal of DMPO-OH increased with increasing ozone dosage when ozone dosage below 5 mgO3/mgTOC, whereas the signal of it decreased with increasing ozone dosage when ozone dosage above 5mgO3/mgTOC.
Motivational Factors in Educational MMORPGs: Some Implications for Education
Authors: Kuo-Hsun Hung, Charles Kinzer, Cheng-Ling Alice Chen
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

During the past two decades, digital games have been acknowledged as motivational and have become a source of study for educational researchers and instructional designers who wish to maximize motivation in educational materials. Among different types of digital games, massively multiplayer online role-playing games (MMORPGs) continue to grow in popularity. Therefore, researchers have started to explore the possibilities of using MMORPGs in education. While MMORPGs have been proven to be a tool that can strengthen students' learning, to enhance their efforts educational game designers need to know more about how educational MMORPGs motivate students. To address the above need, we set out the following two objectives for the study briefly reported herein: To examine the motivational factors of playing educational MMORPGs; To discuss how educators and educational game designers could use motivational factors in designing learning activities and educational experiences within MMORPGs.
Consistency Analysis of Network Traffic Repositories
Authors: Elmer Lastdrager, Aiko Pras
Venue: Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future (2009)

Traffic repositories with TCP/IP header information are very important for network analysis. Researchers often assume that such repositories reliably represent all traffic that has been flowing over the network; little thoughts are made regarding the consistency of these repositories. Still, for various reasons, the traffic capturing process may have missed packets. For certain kinds of analysis, for example loss measurements, such inconsistencies may lead to the wrong conclusions.This paper proposes an algorithm to detect such inconsistencies, using the idea of "fake gaps". A prototype has been developed, and used to test two well-known repositories: the WIDE and Simpleweb repositories. The paper shows that both repositories contain several inconsistencies.
Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions
Authors: Emilio G. Ortiz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Jose A. Portilla-Figueras
Venue: Neurocomputing (2009)

The selection of hyper-parameters in support vector machines (SVM) is a key point in the training process of these models when applied to regression problems. Unfortunately, an exact method to obtain the optimal set of SVM hyper-parameters is unknown, and search algorithms are usually applied to obtain the best possible set of hyper-parameters. In general these search algorithms are implemented as grid searches, which are time consuming, so the computational cost of the SVM training process increases considerably. This paper presents a novel study of the effect of including reductions in the range of SVM hyper-parameters, in order to reduce the SVM training time, but with the minimum possible impact in its performance. The paper presents reduction in parameter C, by considering its relation with the rest of SVM hyper-parameters (@c and @e), through an approximation of the SVM model. On the other hand, we use some characteristics of the Gaussian kernel function and a previous result in the literature to obtain novel bounds for @c and @e hyper-parameters. The search space reductions proposed are evaluated in different regression problems from UCI and StatLib databases. All the experiments carried out applying the popular LIBSVM solver have shown that our approach reduces the SVM training time, maintaining the SVM performance similar to when the complete range in SVM parameters is considered.
Evaluation of a Functional Film Attached on Top of a Tablet PC
Authors: Yugo Kobayashi, Tatsuya Terada, Toshiyuki Kondo, Masaki Nakagawa
Venue: Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009 (2009)

This paper presents usability evaluation of a functional film named PenFit attached on top of a tablet PC. We compared a tablet PC with PenFit and that without PenFit from the viewpoint of the ease of writing. We considered several measures to evaluate the ease of writing. We propose "how people can write letters neatly (neatness)", "how people can write quickly (speed)" and "how people can write without fatigue (fatigue)" as the measures to evaluate the ease of writing. As a result, it is suggested that the functional film provides the ease of writing.
A Trust Model for the SuperPeer-based P2P Files Sharing System
Authors: Lu Gao, Zhongmin Li
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Due to the dynamic nature of P2P systems, it is difficult to keep a global trust of the system by analyzing all nodes’ state which will increase node load. This is why it is important to develop a trust mechanism that uses as little nodes as possible to judge the global trust. In a SuperPeer-based p2p system using the superpeers (SPs) as management nodes can allow trust mechanism to be developed that consume less system resources and lighten nodes’ load. In this paper we extend a SP choice method to include the transfer of credit between SPs and that from ordinary peers (OPs) to SPs. and The model based on this method is implemented to prove that it can provide a more trust mechanism solution for P2P files sharing system.
Using syntactic information to identify plagiarism
Authors: Özlem Uzuner, Boris Katz, Thade Nahnsen
Venue: Proceedings of the second workshop on Building Educational Applications Using NLP (2005)

Using keyword overlaps to identify plagiarism can result in many false negatives and positives: substitution of synonyms for each other reduces the similarity between works, making it difficult to recognize plagiarism; overlap in ambiguous keywords can falsely inflate the similarity of works that are in fact different in content. Plagiarism detection based on verbatim similarity of works can be rendered ineffective when works are paraphrased even in superficial and immaterial ways. Considering linguistic information related to creative aspects of writing can improve identification of plagiarism by adding a crucial dimension to evaluation of similarity: documents that share linguistic elements in addition to content are more likely to be copied from each other. In this paper, we present a set of low-level syntactic structures that capture creative aspects of writing and show that information about linguistic similarities of works improves recognition of plagiarism (over tfidf-weighted keywords alone) when combined with similarity measurements based on tfidf-weighted keywords.
An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval
Authors: Stefan Pantazi
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

The Deterministic Dynamic Associative Memory (DDAM) is a novel associative memory model which generalizes the trie model and addresses the issues of case representation and retrieval. This paper is an overview of the DDAM model outlining its rationale, some of its design principles and its similarities with existing models and approaches. The paper will also report on a selection of experimental results.
Parameterized User-Centered Design for Interacting with Multimedia Repositories
Authors: Ayman Moghnieh, Sergio Sayago, Ernesto Arroyo, Gasper Sopi, Josep Blat
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

In this paper, we analyze how multimedia production and management systems respond to their users' needs and interests. In particular, we concentrate on the system's role as mediator between users and multimedia repositories. In this context, we study the information flow at two media production companies and identify opportunities to augment human-multimedia interaction and increase the visibility of their large multimedia repositories. These opportunities, who articulate user needs and interests not covered by the existing suite of system interfaces, are exploited by integrating new interfaces. We introduce four design parameters for characterizing interface and interaction requirements. Their use facilitates the extraction of user-centred design requirements from use cases and ethnographic activities. They also improve the accuracy of use case analysis, and the subsequent design of related prototypes. In the process, four opportunities have been identified and consequently a similar number of interface designs have been produced. This work reports on the process we followed in the identification of these opportunities, their analysis, and the development of corresponding prototypes. It shows how parameterization can improve the capture and analysis of design requirements and facilitate the drafting of related solutions.
Research on Grid Workflow Scheduling Based on MOPSO Algorithm
Authors: Jinzhong Li, Jintao Zeng, Jiewu Xia, Manhua Li, Changxin Liu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Currently the research on the Quality of Service (QoS) composition in ASKALON grid workflow management system is still rare, a computational method of activities' QoS of grid workflow is proposed based on abstract grid workflow language (AGWL) model. Existing grid workflow scheduling algorithms commonly suffer by one or several of the following drawbacks: monotonous expressing structure, not enough consideration of multidimentional QoS parameters and single objective optimal scheduling. A scheduling algorithm of multiobjective optimal grid workflow scheduling with QoS constraints based on multiobjective particle swarm optimization (MOPSO) algorithm is proposed, compared with a grid workflow scheduling algorithm based on NSGA-II algorithm, the experimental results show the validity of algorithm.
Pseudorandom Generators and Typically-Correct Derandomization
Authors: Jeff Kinne, Dieter Melkebeek, Ronen Shaltiel
Venue: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2009)

The area of derandomization attempts to provide efficient deterministic simulations of randomized algorithms in various algorithmic settings. Goldreich and Wigderson introduced a notion of "typically-correct" deterministic simulations, which are allowed to err on few inputs. In this paper we further the study of typically-correct derandomization in two ways.First, we develop a generic approach for constructing typically-correct derandomizations based on seed-extending pseudorandom generators, which are pseudorandom generators that reveal their seed. We use our approach to obtain both conditional and unconditional typically-correct derandomization results in various algorithmic settings. We show that our technique strictly generalizes an earlier approach by Shaltiel based on randomness extractors, and simplifies the proofs of some known results. We also demonstrate that our approach is applicable in algorithmic settings where earlier work did not apply. For example, we present a typically-correct polynomial-time simulation for every language in BPP based on a hardness assumption that is weaker than the ones used in earlier work.Second, we investigate whether typically-correct derandomization of BPP implies circuit lower bounds. Extending the work of Kabanets and Impagliazzo for the zero-error case, we establish a positive answer for error rates in the range considered by Goldreich and Wigderson. In doing so, we provide a simpler proof of the zero-error result. Our proof scales better than the original one and does not rely on the result by Impagliazzo, Kabanets, and Wigderson that NEXP having polynomial-size circuits implies that NEXP coincides with EXP.
Influence of Students' Motivation on Their Experience with E-Learning Systems: An Experimental Study
Authors: Rosa Lanzilotti, Francesca Montinaro, Carmelo Ardito
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

The use of information technologies to support learning is an important study area for both teaching experts and HCI researchers aiming to produce efficacious e-learning systems allowing teachers, tutors and students to carry out their activities in a satisfactory and enjoyable manner. The system the user will interact with must therefore be designed not only on the basis of the classic usability principles but also of those aspects that affect the overall user experience. Aim of the present study is to see how individual characteristics of cognitive and above all motivational type affect learning while using an e-learning system, and to assess their impact on the overall e-learning user experience.
Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses
Authors: Dianne Cyr, Milena Head, Alex Ivanov
Venue: International Journal of Human-Computer Studies (2009)

Novel applications of website interactivity are important to attract and retain online users. In this empirical study five designs for interactivity are examined using different web-poll interfaces. The goal of the investigation is to examine perceived interactivity in a model which includes most commonly tested cognitive elements such as efficiency and effectiveness, but augments this model with the inclusion of a cognitive-affective element for trust, and an affective element of enjoyment. More specifically, a model is created to validate the relationship of perceived interactivity (comprised of user control, user connectedness, and responsiveness of the web-poll application) to efficiency, effectiveness, trust and enjoyment, of the website. In turn, efficiency, effectiveness, trust, and enjoyment are tested for their influence on user behavioral intentions for e-loyalty. All relationships in the model are supported. In addition, exploratory evaluation of qualitative comments is conducted to investigate additional insights between the five web-poll treatments in this investigation. The research confirms the complexity of a model in which cognitive, cognitive-affective and affective elements are present, and advances knowledge on the consequences of perceived interactivity. In additional to theoretical advancements, the research has merit for web designers and online marketers regarding how to enhance interactive online web applications.
Transient customization of mobile computing infrastructure
Authors: Adam Wolbach, Jan Harkes, Srinivas Chellappa, M. Satyanarayanan
Venue: Proceedings of the First Workshop on Virtualization in Mobile Computing (2008)

Kimberley is a system that simplifies transient use of fixed hardware infrastructure by a mobile device. It uses virtual machine (VM) technology to resolve the tension between standardizing infrastructure for ease of deployment and maintenance, and customizing that infrastructure to meet the specific needs of a user. Kimberley decomposes the state of a customized VM into a widely-available base VM and a much smaller private VM overlay. The base is downloaded by the infrastructure in advance. Only the small overlay needs to be delivered from the mobile device, or under its control from a public web site. This strategy keeps startup delay low. It may also conserve energy on the mobile device by reducing the volume of wireless transmission. We have built a prototype of Kimberley, and our experiments confirm the feasibility of this approach.
Ringlike Level of Detail in Real-Time Terrain Rendering
Authors: Zhang Wei
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Level of Detail is an important method for simplifying terrain rendering in 3D scene. Most traditional LOD models take the elevation into account, and therefore they can not effectively control the quantity of rendering data. This paper proposes an efficient Ringlike LOD algorithm which depends on a structure that consists of many concentric rings with viewpoint in the center. The size of every ring can be pre-established, so the real-time visualization of huge terrain dataset is independent of elevation, thus providing an effective method for real-time visualization of terrain rendering.
Developing platform specific model for MPSoC architecture from UML-based embedded software models
Authors: Sang-Uk Jeon, Jang-Eui Hong, In-Gwon Song, Doo-Hwan Bae
Venue: Journal of Systems and Software (2009)

In this paper, we describe a technique to design UML-based software models for MPSoC architecture, which focuses on the development of the platform specific model of embedded software. To develop the platform specific model, we define a process for the design of UML-based software model and suggest an algorithm with precise actions to map the model to MPSoC architecture. In order to support our design process, we implemented our approach in an integrated tool. Using the tool, we applied our design technique to a target system. We believe that our technique provides several benefits such as improving parallelism of tasks and fast-and-valid mapping of software models to hardware architecture.
A Flexible TD-SCDMA RF Signal Generator
Authors: Jingyu Hua, Bei Li, Limin Meng, Zhijiang Xu, Banteng Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

TD-SCDMA has begin its commercial process in many cities of China,and equipment manufacturers are in dire need of the cheaper andsimpler test solutions. Hence this paper investigates the TD-SCDMAprotocol and then designs a novel \emph{radio frequency} (RF) signalgenerator (source) by combining the ADS software and theconventional RF generation hardware. The key of the proposed processis modeling \& realizing TD-SCDMA baseband signal corrupted bymultipath channel and \emph{additive white gaussian noise} (AWGN),and then controlling the hardware to generate the desired RFsignals. Compared with the specified signal generator developed byAgilent, Anritsu, etc., our RF signal source is cheaper, moreflexible and more convenient.
An Improved Outlier Detection Method in High-dimension Based on Weighted Hypergraph
Authors: YinZhao Li, Di Wu, JiaDong Ren, ChangZhen Hu
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

Outlier detection in high-dimensional space is a hot topic in data mining, the main goal is to find out a small quantity of data objects with abnormal behavior in data set. In this paper, the concepts of the feature vector and the attribute similarity are defined, an improved algorithm SWHOT based on weighed hypergraph model for outlier detection in high dimensional space is presented. The objects in high dimensional space are translated into binary data type, by looking for the hyperedge of binary set, the data set hypergarph model is established, meanwhile, the weight of the hyperedge is equal to the value of the attribute similarity. In addition, the objects of the hypergraph are clustered by CURE algorithm, arbitrary shaped clusters can be identified. Furthermore, the outliers are found according to the point-to-window weighted support, the point-to-class belongingness and the point-to-window weighted deviation of size, the meaningful outliers in high-dimension can be mined by means of appropriate user-defined threshold. Experimental results show that SWHOT can improve scaling and precision.
The Soft-Sensing for Flow Pattern Fuzzy Boundary Discharge at the Lateral Gate of Irrigation Channel
Authors: Shengli Lu, Jialin Cao, Lele Zou
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Water discharge at the lateral gate of irrigation channel is estimated by measurable information such as lift-level of floodgate, water-level at front and back of the floodgate and so on, that has typical characteristics of soft-sensing. However, along with approaching the boundaries of two or more than two flow patterns, the estimation errors of discharge become larger. In accordance with fuzzy characteristic of flow pattern boundaries at the lateral gate of irrigation channel, a soft-sensing method combining overall discharge coefficient fuzzy inference and information fusion of multi-momels based on distance measure is proposed. The effectiveness of this programme is verified partially by hydraulic expermental data acquired from fuzzy boundary of the stream shape.