ppxscal/embedding_network huggingface dataset:
Research on Chinese Key Words Mining with Malicious Jamming in English
Authors: Cao Shui, Zhou Xueguang, Sun Yan, Zhang Huanguo
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

With the rapid development of World Wide Web, the Web malicious attackers have taken the initiative jamming in Chinese to transform the form of the key words to be avoided being mined by the software existed. So how to filter the unhealthy webpage quickly and effectively has become the main content of the Web security. Because of the limitation of traditional rigid strings matching on the key words mining in Chinese, people have turned to research flexible string matching. Based on the Zhou-Zhang algorithm and the technique of key words mining in Chinese, this paper designed and realized a key words mining system about malicious jamming in English. The details in the design of the program and the realization of the process are introduced. The experiments prove that more than 98% of the key words about malicious jamming in English in the document could be mined and then be judged whether it is healthy by this system accurately.
A Usability Evaluation of Public Icon Interface
Authors: Sungyoung Yoon, Jonghoon Seo, Joonyoung Yoon, Seungchul Shin, Tack-Don Han
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Existing image codes interface needs additional visual marker and explanation of the service. To overcome these limitations, there were some researches to use a public icon as an anchor. The public icon is human-readable and does not need additional visual marker or explanation. In this paper, we carried out the usability evaluation of the public icon interface with a high-fidelity prototype in comparison to the existing image code. In addition, we analyze user preferences from the results. From the analysis, we perceived that the public icon interface is better to use in the public because the public icon interface is familiar with people and doesn't need additional materials or much cognitive load and are in good harmony with current environments.
Data Distribution of Road-Side Information Station in Vehicular Ad Hoc Networks (VANETs)
Authors: Abhijit Saha, Gyung-Leen Park, Khi-Jung Ahn, Chul Soo Kim, Bongkyu Lee, Yoon-Jung Rhee
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

Vehicular Ad Hoc Networks (VANETs) have received large attention in recent times. There are many applications bringing out the new research challenges in the VANET environment such as vehicle to vehicle communication, road-side vehicle networking etc. Road-side data access in the two intersecting roads of downtown area in VANET is the main consideration of this paper. Caching is a common technique for saving network traffic and enhance response time, especially in wireless environments where bandwidth is often a scare resource. In this paper, a novel Road-Side Information Station (RIS) data distribution model with cache scheme in VANET for the data access in the two intersecting roads of downtown area is proposed. The performance of the proposed scheme is tested through simulations. The simulation results reveal that the proposed scheme can significantly improve the response time, and the network performance.
A Feasible Tracking Method of Augmented Reality for Supporting Fieldwork of Nuclear Power Plant
Authors: Weida Yan, Hirotake Ishii, Hiroshi Shimoda, Masanori Izumi
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

For the application of augmented reality in plant maintenance work, real-time tracking and technology with higher accuracy is necessary. This study focuses on the tracking method in vision based SLAM. In NPP, line features are abundant, and they are detected more easily and reliably than point features. Line features offer more information than points, but its tracking method is more complex. In this study, line features are used as landmark for tracking. The representation of the 3D line is relied on Plücker coordinates. A Gaussian sum approximates the feature initial state and is updated as new observations are gathered by the camera. Then extend Kalman filter is adopted for SLAM approach.
In Praise of Numerical Computation
Authors: Chee K. Yap
Venue: Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday (2009)

Theoretical Computer Science has developed an almost exclusively discrete/algebraic persona. We have effectively shut ourselves off from half of the world of computing: a host of problems in Computational Science Engineering (CS E) are defined on the continuum, and, for them, the discrete viewpoint is inadequate. The computational techniques in such problems are well-known to numerical analysis and applied mathematics, but are rarely discussed in theoretical algorithms: iteration, subdivision and approximation. By various case studies, I will indicate how our discrete/algebraic view of computing has many shortcomings in CS E. We want embrace the continuous/analytic view, but in a new synthesis with the discrete/algebraic view. I will suggest a pathway, by way of an exact numerical model of computation, that allows us to incorporate iteration and approximation into our algorithms' design. Some recent results give a peek into how this view of algorithmic development might look like, and its distinctive form suggests the name "numerical computational geometry" for such activities. 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
Dynamics, Information and Complexity in Quantum Systems, 1st edition
Authors: Fabio Benatti
Venue:  (2009)

The leading theme of the book is complexity in quantum dynamics. This issue is addressed by comparison with the classical ergodic, information and algorithmic complexity theories. Of particular importance is the notion of Kolmogorov-Sinai dynamical entropy and of its inequivalent quantum extensions formulated by Connes, Narnhofer and Thirring on one hand and Alicki and Fannes on the other. Their connections with extensions to quantum systems of Kolmogorov-Chaitin-Solomonoff algorithmic complexity theory is also presented. The technical tools employed are those of the algebraic approach to quantum statistical mechanics which offers a unifying view of classical and quantum dynamical systems. Proofs and examples are provided in order to make the presentation self consistent. 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
Semi-Supervised Learning Algorithm Based on Lie Group
Authors: Hanxiang Xu, Fanzhang Li
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Semi-supervised learning is an important research area in machine learning, which is mainly combined with a little labeled training data from reality, studies the data structure and distribution information from the large number of unlabeled data and makes full use of this information to improve the performance of classification algorithms, and researches the symmetry between the labeled and unlabeled samples. Lie Group is the combination of algebraic and geometrical structure by natural, it is the basic method to study the symmetry of the physical problems, so this paper introduces Lie Group to semi-supervised learning, analyzes the relationship between semi-supervised learning and Lie group,uses Lie group’s nice algebraic and geometrical structure to denote and analyze data, gives the Semi-Supervised Learning algorithm based on Lie Group, and then in the experiment of predicting drug activity and comparing results with Self training,TSVM, and Co-training, shows the algorithm’s feasibility and validity
Optimal and Fair Transmission Rate Allocation Problem in Multi-hop Cellular Networks
Authors: Cristiana Gomes, Jérôme Galtier
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

We deal with the rate allocation problem for downlink in a Multi-hop Cellular Network. A mathematical model is provided to assign transmission rates in order to reach an optimal and fair solution. We prove that under some conditions that are often met, the problem can be reduced to a single-hop cellular network problem. The validity of our proof is confirmed experimentally.
A Study of Influence of Temperature on Crack Propagation Behavior of Asphalt Concrete
Authors: Tao Xie, Zezhong Jiang, Yanjun Qiu, Bo Lan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

The fracture resistance of asphalt materials significantly influences the service life of asphalt pavements and consequently affects the maintenance and rehabilitation costs of the pavement network. Therefore, there is significant interest in understanding the mechanism of fracture in asphalt pavements and in developing analysis tools that would lead to the selection of asphalt materials with increased fracture resistance. Study of cracking behavior of asphalt mixtures should be conducted in a micro-scale level to have a real simulation of crack propagation. Using SIEMENS SOMATOM plus X-ray CT (computerized tomography) and multi-functional testing rig, a dynamic observation of cracking propagation of hot mix asphalt was conducted in this research. Failure process under compressive pressure was recorded using CT images and CT numbers. The direct responses in density change of Marshall Samples under a CT-compressive process are change of CT numbers. Cracking propagation in the samples can be clearly observed and failure mode and stress-strain behavior can then be simulated. The tests reported provide important theoretical fundamentals to study the cracking behavior and failure mechanism of asphalt mixtures Under the influence of temperaturet.
Home Monitoring of Sleep Apnea Treatment: Benefits of Intelligent CPAP Devices
Authors: Daniela Boisteanu, Raluca Vasiluta, Andrei Cernomaz, Corina Mucenica
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

Obstructive sleep apneea syndrome is highly prevalent in adult population and increases cardiovascular morbidity and mortality. Nasal continuous positive airway pressure (CPAP) remains the treatment of choice for obstructive sleep apnoea (OSA). Automatic CPAP (APAP) can be use, not only for treatment but also for suggesting the optimum CPAP setting. Ninety-five newly diagnosed patients were included (mean age 51±9.6 years) with moderate and severe obstructive sleep apnea syndrome. The patients were randomly allocated to one of the investigated devices: APAP or fixed pressure CPAP. A lower mean effective pressure seen in AUTO group 7.67cm H2O vs CPAP 8.51 cm H2O (CI 95% 0.08 – 1.6, p=0.03) and CPAP patients presented statistically significant lower residual AHI (mean difference 1.6, CI 95% 0.7 – 2.5, p=0.001). As a conclusion the AUTO approach seems to be similarly effective as CPAP and provide a method for determining a single fixed pressure, suitable for long term treatment with a conventional CPAP device.
Modeling Expected Utility of Multi-session Information Distillation
Authors: Yiming Yang, Abhimanyu Lad
Venue: Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory (2009)

An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple sessions. Utility depends on both the relevance and novelty of documents, and the novelty in turn depends on the user interaction history. However, user behavior is non-deterministic. We propose a new probabilistic framework for stochastic modeling of user behavior when browsing multi-session ranked lists, and a novel approximation method for efficient computation of the expected utility over numerous user-interaction patterns. Using this framework, we present the first utility-based evaluation over multi-session search scenarios defined on the TDT4 corpus of news stories, using a state-of-the-art information distillation system. We demonstrate that the distillation system obtains a 56.6% utility enhancement by combining multi-session adaptive filtering with novelty detection and utility-based optimization of system parameters for optimal ranked list lengths.
Non-functional properties and services coordination using contracts
Authors: Javier A. Espinosa-Oviedo, Genoveva Vargas-Solar, José-Luis Zechinelli-Martini, Christine Collet
Venue: Proceedings of the 2009 International Database Engineering & Applications Symposium (2009)

This paper presents an approach for building reliable applications based on services oriented paradigm and the use of a contract based coordination model. Thanks to contracts describing the logic of a services based application running in a dynamic environment it is possible to associate a personalized behavior in an orthogonal way. Contracts ensure, for example, transactional properties at execution time in the presence of exceptions and make applications aware of their execution context.
Learning and performing place-based mobile manipulation
Authors: Freek Stulp, Andreas Fedrizzi, Michael Beetz
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

What it means for an object to be ‘within reach’ depends very much on the morphology and skills of a robot. In this paper, we enable a mobile manipulation robot to learn a concept of PLACE from which successful manipulation is possible through trial-and-error interaction with the environment. Due to this developmental approach, PLACE is very much grounded in observed experience, and takes the hardware and skills of the robot into account. During task-execution, this model is used to determine optimal grasp places in a least-commitment approach. This PLACE takes into account uncertainties in both robot and target object positions, and leads to more robust behavior.
Learning graphical model structure using L1-regularization paths
Authors: Mark Schmidt, Alexandru Niculescu-Mizil, Kevin Murphy
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the structure of directed graphical models. Specifically, we make three contributions. First, we show how the decomposability of the MDL score, plus the ability to quickly compute entire regularization paths, allows us to efficiently pick the optimal regularization parameter on a per-node basis. Second, we show how to use L1 variable selection to select the Markov blanket, before a DAG search stage. Finally, we show how L1 variable selection can be used inside of an order search algorithm. The effectiveness of these L1-based approaches are compared to current state of the art methods on 10 datasets.
Dissertation in progress: an empirical analysis of the costs and benefits of naturalness in spoken dialog systems
Authors: Ellen Campana
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 4 (2005)

In this paper I describe work for my Ph.D. dissertation whieh is currently in progress. The overarching goal of the work is to develop a methodology for empirically evaluating the effects of different interface design decisions in spoken dialogue systems. The methodology I will use is the dual-task method, borrowed from cognitive psychology, which is advantageous because it provides fine-grained information about the cognitive load of the user while he/she is engaged in interacting with the system. For my dissertation I will focus specifically on the use of definite referring expressions and the question of whether "natural" or "fully-specified" definite referring expressions are easier for users to generate and/or understand. The answers are important because both strategies are used in systems on the market today. More importantly, I hope my work will provide a tool for software developers, and encourage them to carefully weigh the empirically observed costs and benefits of various design decisions.
Automatic generation of hypsometric layers for small-scale maps
Authors: Anna M. Leonowicz, Bernhard Jenny, Lorenz Hurni
Venue: Computers Geosciences (2009)

This paper describes a new method for hypsometric tinting for small-scale maps. The method generalises digital elevation models by removing small unnecessary details and accentuating major valleys and ridgelines. The elevation data are filtered with lower and upper quartile filters that are combined using a drainage network. The lower quartile filter is applied in valleys, delimited by the drainage network, the upper quartile filter is used elsewhere. The level of generalisation is adjusted by simplifying the drainage network with an algorithm that removes the shortest streams. The resulting hypsometric layers match the quality standards of manually generalised reference layers and are appropriate for small-scale mapping.
SemEval-2007 task 17: English lexical sample, SRL and all words
Authors: Sameer S. Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper describes our experience in preparing the data and evaluating the results for three subtasks of SemEval-2007 Task-17 - Lexical Sample, Semantic Role Labeling (SRL) and All-Words respectively. We tabulate and analyze the results of participating systems.
Dynamic gyroscope fusion in Ubiquitous Tracking environments
Authors: Daniel Pustka, Gudrun Klinker
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Ubiquitous Tracking (Ubitrack) setups, consisting of many previously unknown sensors, offer many possibilities to perform sensor fusion in order to increase robustness and accuracy. In particular, the dynamic combination of mobile and stationary trackers enables the creation of new wide-area tracking concepts. In this work, we present a setup in which a gyroscope is dynamically fused with three different mobile and stationary sensors, based on the concepts of Spatial Relationship Graphs (SRGs) and Patterns. For this, we contribute new patterns that, based on well-known algorithms, enable the transformation of rotation velocity and the fusion with different absolute trackers. The usefulness of the approach is shown in a system that automatically reconfigures the SRG based on course tracking data, and, depending on the structure of this SRG, automatically selects a suitable fusion algorithm.
Visual-based Intelligent Control System for Robotic Gas Metal Arc Welding
Authors: Shi Yu, Xue Cheng, Fan Ding, Chen Jianhong
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Sensing and control the weld pool is a crucial problem for robotic gas-metal arc welding (GMAW) process. In present research, a special vision sensing system, assisted by a narrow-band filter which could overcome the influence of the strong arc light of GMAW, was integrated with the morphological image-processing algorithm to improve the weld pool edge extracting performance. On the basis of welding pool image vision sensing and processing system, an intelligent controller based on Fuzzy and expert system (ES) for robotic GMAW process is proposed. The experiments show that the real-time and precision requirements for detecting and control of weld pool width of robotic GMAW process could be satisfied by the established system.
Formal Representation and Analysis of a Near Miss Accident in N Sigma-labeled Calculus
Authors: Tetsuya Mizutani, Shigeru Igarashi, Yasuwo Ikeda, Masayuki Shio
Venue: Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering (2009)

A formal verification and analysis of the JAL near miss accident is presented as an example of formal representation of knowledge and belief by N sigma-labeled calculus.
Multithreaded Linear Hashing with Disk Buffer
Authors: Hai-Hao Tang, Hu Chen, Jiang-Feng Peng
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Multi-core computers have become increasingly popular, in order to improve the performance of index in database systems on multi-core computers, and this paper presents an alternative algorithm of linear hashing and multithreaded disk buffer on multi-core computers. In this algorithm, records can be inserted into hash table concurrently by different threads. The key of the parallel insertion is to make traditional insertion into batch insertion. Multithreaded disk buffer is developed for multithreaded linear hashing, making multithreads allocate and release memory simultaneously as much as possible. It is applied to maximize memory utilization and to minimize the number of disk accesses. Our experimental result shows that, compared to traditional serial linear hashing, multithread linear hashing achieves a higher performance on multi-core computers.
Privacy Preservation over Untrusted Mobile Networks
Authors: Claudio A. Ardagna, Sushil Jajodia, Pierangela Samarati, Angelos Stavrou
Venue: Privacy in Location-Based Applications: Research Issues and Emerging Trends (2009)

The proliferation of mobile devices has given rise to novel user-centric applications and services. In current mobile systems, users gain access to remote servers over mobile network operators. These operators are typically assumed to be trusted and to manage the information they collect in a privacy-preserving way. Such information, however, is extremely sensitive and coveted by many companies, which may use it to improve their business. In this context, safeguarding the users' privacy against the prying eyes of the network operators is an emerging requirement.In this chapter, we first present a survey of existing state-of-the-art protection mechanisms and their challenges when deployed in the context of wired and wireless networks. Moreover, we illustrate recent and ongoing research that attempts to address different aspects of privacy in mobile applications. Furthermore, we present a new proposal to ensure private communication in the context of hybrid mobile networks, which integrate wired, wireless and cellular technologies. We conclude by outlining open problems and possible future research directions.