ppxscal/embedding_network huggingface dataset:
Workload-Driven Compressed Skycube Queries in Wireless Applications
Authors: Zheng Fang, Jie Wang, Donghui Zhang
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Compressed skycubes provide an efficient mechanism for skyline queries that are useful for wireless applications, where the size of a compressed skycube is often much smaller than that of the original skycube. However, even with compression, the entire compressed skycube may still be too large to be placed in the main memory of a wireless device. To overcome this obstacle we introduce the concept of workload-driven subspace compressed skycubes to meet the needs of an expected query profile. While it is NP-hard to find the best set of subspace compressed skycubes within the given memory constraint to serve the largest possible number of queries, we devise a polynomial-time approximation algorithms with a proven approximation guarantee. Our simulation results show that the approximation algorithm produces feasible solutions in reasonable amount of time with approximation ratios close to 1.
HC - Adobe Flash CS4 Revealed, 1st edition
Authors: James E. Shuman
Venue:  (2009)

With the much-anticipated arrival of Adobe Flash CS4 comes the opportunity to create even more exciting and effective interactive experiences and animations on the Web. And this innovative book will guide you through every step along the way. Adobe Flash CS4 Revealed provides a comprehensive yet concise introduction to the new Flash CS4 Professional. The book begins with a discussion of fundamental concepts, which provide a context for learning and set the stage for specific Flash skill development. A series of step-by-step tutorials follows, covering the range of basic to intermediate skills, including creating animations, using special effects, drawing objects, incorporating sound and video, and using ActionScript. These topics, along with coverage of the updated features of Flash CS4 Professional such as enhancements to the workspace, importing Photoshop and Illustrator files, the Flash planning and workflow processes, and the Help featuremake this book an indispensable resource in the library of anyone who wants to take full advantage of Flash CS4.
Incremental Document Clustering Based on Graph Model
Authors: Tu-Anh Nguyen-Hoang, Kiem Hoang, Danh Bui-Thi, Anh-Thy Nguyen
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

In this paper, we propose a new approach based on graph model and enhanced IncrementalDBSCAN to solve incremental document clustering problem. Instead of traditional vector-based model, a graph-based is used for document representation. By using graph model, we can easily update graph structure when a new document is added to database. Meanwhile, IncrementalDBSCAN is an effective incremental clustering algorithm suitable for mining in dynamically changing databases. Similarity between two documents is measured by hybrid similarity of their adapting feature vectors and shared-phrase information. Our experimental results demonstrate the effectiveness of the proposed method.
On the Complexity of the Asymmetric VPN Problem
Authors: Thomas Rothvoß, Laura Sanità
Venue: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2009)

We give the first constant factor approximation algorithm for the asymmetric Virtual Private Network $(\textsc{Vpn})$ problem with arbitrary concave costs. We even show the stronger result, that there is always a tree solution of cost at most 2·OPT and that a tree solution of (expected) cost at most 49.84·OPT can be determined in polynomial time.For the case of linear cost we obtain a $(2+\varepsilon\frac{\mathcal R}{\mathcal S})$-approximation algorithm for any fixed ¿> 0, where $\mathcal{S}$ and $\mathcal{R}$ ($\mathcal{R} \geq \mathcal{S}$) denote the outgoing and ingoing demand, respectively.Furthermore, we answer an outstanding open question about the complexity status of the so called balanced $\textsc{Vpn}$ problem by proving its NP-hardness.
Neural systems supporting the control of affective and cognitive conflicts
Authors: Kevin N. Ochsner, Brent Hughes, Elaine R. Robertson, Jeffrey C. Cooper, John D. E. Gabrieli
Venue: Journal of Cognitive Neuroscience (2009)

Although many studies have examined the neural bases of controlling cognitive responses, the neural systems for controlling conflicts between competing affective responses remain unclear. To address the neural correlates of affective conflict and their relationship to cognitive conflict, the present study collected whole-brain fMRI data during two versions of the Eriksen flanker task. For these tasks, participants indicated either the valence (affective task) or the semantic category (cognitive task) of a central target word while ignoring flanking words that mapped onto either the same (congruent) or a different (incongruent) response as the target. Overall, contrasts of incongruent > congruent trials showed that bilateral dorsal ACC, posterior medial frontal cortex, and dorsolateral pFC were active during both kinds of conflict, whereas rostral medial pFC and left ventrolateral pFC were differentially active during affective or cognitive conflict, respectively. Individual difference analyses showed that separate regions of rostral cingulate/ventromedial pFC and left ventrolateral pFC were positively correlated with the magnitude of response time interference. Taken together, the findings that controlling affective and cognitive conflicts depends upon both common and distinct systems have important implications for understanding the organization of control systems in general and their potential dysfunction in clinical disorders.
Latent variable mining with its applications to anomalous behavior detection
Authors: Shunsuke Hirose, Kenji Yamanishi
Venue: Statistical Analysis and Data Mining (2009)

In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional approaches to anomaly detection are concerned with tracking data which are largely deviated from the ordinary pattern. In this paper, we are instead concerned with the issue of how to track changes occurring in the latent variable space consisting of the meta information existing behind directly observed data. For example, in the case of masquerade detection, the conventional task was to detect anomalous command lines related to masqueraders' malicious behaviors. Meanwhile, we rather attempt to track changes of behavioral patterns such as writing mails, making software, etc. which are information of more abstract level than command lines. The key ideas of the proposed methods are: (i) constructing the model variation vector, which is introduced relative to the latent variable space, and (ii) the latent anomaly detection is reduced to the issue of change-point detection for the time series that the model variation vector forms. We demonstrate through the experimental results using an artificial data set and a UNIX command data set that our method has significantly enhanced the accuracy of existing anomaly detection methods. Copyright &copy; 2009 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 2: 48-69, 2009
Comparison of Learning Models to Build an Infrastructure for Performance Measurement of E-Learning Systems
Authors: Ercan Öztemel, Elif Yavuz
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

In this paper, Models describing the learning process is compared in terms of six different criteria taking distance based education systems into account. The result of this study will be utilized in establishing learning performance assessment system in Adapazari Vocational School where main education is based on e-learning.
On Modeling Data Mining with Time Granularity
Authors: Zhong Luo, Wu Jun
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Granular Computing (GrC) is an umbrella term to cover any theory, methodology, technique and tool that makes usage of granules in the complex problem solving and provides an effective method for massive data-mining in huge data warehouse system. This paper presents a time granularity model firstly and then put the time granularity in applications which can reflect Granular Computing (GrC) mining at different times levels.
Flight Simulator Architecture Development and Implementation
Authors: Shutao Zheng, Qitao Huang, Jun Jin, Junwei Han
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Flight simulator is important aviation experiment equipment using simulation technology to develop/test different airplane systems and train pilots. With the development of computer science and modeling technology, new more powerful computers and application software have made it possible to built more and more advanced simulators which allows more complicated and high efficiency simulation. While modern flight simulator is a complex system in existence including software and hardware, with the improvement of fidelity request, real-time constraints and other quality attribution of software system must be guaranteed. In order to fulfill the requirements of extendibility, reusability, compatibility and maintainability for flight simulator, according to the components of flight simulator, software architecture decomposition modules and hardware architecture were given, object-oriented technology and rapid control prototyping technology were used to develop flight simulator system. Result shows that the developed system fulfilled above-mentioned requirement.
Transaction Processing for Complete Reading of Semi-passive Sensor Tag
Authors: Soohan Kim, Wooseok Ryu, Bonghee Hong
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

This paper deals with the problem of incomplete reading of sensing value stored in the semi-passive sensor tag and proposes a mechanism for complete reading without losing sensed value. The Cold Chain management system requires complete retrieval of a sensed data to keep track of freshness goods. However, reading the sensed data would be interfered by RF environment such as a jamming, obstacle and so on. This study found that interference could lead to loss of the sensed data. To solve this problem, we propose the transaction processing mechanism that guarantees complete reading of the sensed data. To do this, we present dynamic resizing of packet and recovery mechanism for complete reading of tag data to execute read transaction. These techniques improve the reliability of reading operation as well as speeds up of reading the mass data. The major contribution of this paper is to provide complete mechanism for reading a sensed data completely without any loss of a data from semi-passive sensor tag.
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images
Authors: Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael Nilsson
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Traffic Sign Recognition is a widely studied problem and its dynamic nature calls for the application of a broad range of preprocessing, segmentation, and recognition techniques but few databases are available for evaluation. We have produced a database consisting of 1,300 images captured by a video camera. On this database we have conducted a systematic experimental study. We used four different preprocessing techniques and designed a generic speed sign segmentation algorithm. Then we selected a range of contemporary speed sign classification algorithms using shape based segmented binary images for training and evaluated their results using four metrics, including accuracy and processing speed. The results indicate that Naive Bayes and Random Forest seem particularly well suited for this recognition task. Moreover, we show that two specific preprocessing techniques appear to provide a better basis for concept learning than the others.
Information System Evolution for Small Business
Authors: Lixia Zhou
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

The speed of adaptation of information systems is generally considered as being determinant for business competitiveness, especially for the small business. Information systems are built on the constraints of the legacy system and generate constraints for the future. So the evolution of the information system is indispensable and it should be responding to the need to run business effectively and efficiently. The paper offers insight on how information systems evolution (ISE) could be initiated, managed, and engineered in the process of small business development.offers insight on how information systems evolution (ISE) could be initiated, managed, and engineered in the process of small business development.
Online resource allocation using decompositional reinforcement learning
Authors: Gerald Tesauro
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

This paper considers a novel application domain for reinforcement learning: that of "autonomic computing," i.e. selfmanaging computing systems. RL is applied to an online resource allocation task in a distributed multi-application computing environment with independent time-varying load in each application. The task is to allocate servers in real time so as to maximize the sum of performance-based expected utility in each application. This task may be treated as a composite MDP, and to exploit the problem structure, a simple localized RL approach is proposed, with better scalability than previous approaches. The RL approach is tested in a realistic prototype data center comprising real servers, real HTTP requests, and realistic time-varying demand. This domain poses a number of major challenges associated with live training in a real system, including: the need for rapid training, exploration that avoids excessive penalties, and handling complex, potentially non-Markovian system effects. The early results are encouraging: in overnight training, RL performs as well as or slightly better than heavily researched model-based approaches derived from queuing theory.
Evaluating a Personal Communication Tool: Sidebar
Authors: Malena Mesarina, Jhilmil Jain, Craig Sayers, Tyler Close, John Recker
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

By more closely integrating email with the web we aim to bring organization to email and more collaboration to the web. To this end we developed the Sidebar, a web-browser plug which displays email messages which link to the currently displayed URL. We conducted longitudinal studies on two versions of Sidebar to observe the usage of Sidebar and determine if it improves communications productivity. We found that providing an email summary in Sidebar resulted in raised awareness of the email collaborations, increased serendipitous discovery of information, and resulted in higher reported communication productivity. This paper summarizes Sidebar's operation, describes the user studies, and presents conclusions.
Early Warning and Emergency Response System for Water Pollution Accidents in Wuhan City, China
Authors: Xuying Yuan, Yijin Wu, Shuang Liang, Wei Liao, Liangyue Tian, Xi Huang, Hao Zhang, Bei Huang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Safe and reliable drinking water is vital to every community. But Water pollution incidents have taken place in China frequently resulting in an enormous economic loss. How to solve the problem becomes a significant issue to scrub the deleterious effects of pollution accidents. So the establishment of response models of water pollution accidents in Wuhan city is necessary in order to enhance rapidity, effectiveness and accuracy of emergency commanding, and to improve the level of scientific decision-making. As Emergency pollution management system is a complete system composed of data layer, model layer, the system interface layer and network layer. It also has early warning functions such as the real-time monitoring of water quality and water quality prediction of water pollution accidents. Early Warning and Emergency Response system for Water Pollution Accidents in Wuhan City, China shows a quick-acting and accurate numerical method to calculate the value of pollutant concentration in a short time.
A Robust Controller Design for Electric Power Steering System Based on PI Current Loop
Authors: Qiang Li, De-yu Song, Feng Cheng, Li-kang Yang, Ren-hua Cai
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

This paper investigates the robust controller of an electric power steering system. The design methods of the robust H∞ mixed sensitivity controller are researched by the transfer functions model of EPS system, based on the classical PI current loop. The theoretical analysis and simulation experiments indicate that the proposed controller can improve the capability of low frequency noise enhancement and high frequency enervation in wide frequency band from the road, attenuate noise of torque sensor, exhibit good robust performances in assist tracking and anti-disturbance, and greatly improve the returnability, driver's steering feel, handling characteristic.
Wavelet Reconstruction Algorithm Based on Non-separable MRA
Authors: Jin Guoying, Chen Hongye
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

We propose a wavelet reconstruction algorithm based on non-separable MRA. In the algorithm we disposed the projection data with two channel wavelet. This algorithm not only has the same local reconstruction characteristic with the algorithm based on separable MRA, but have better image quality and shorter working time.
Computer Hobbyists and the Gaming Industry in Finland
Authors: Petri Saarikoski, Jaakko Suominen
Venue: IEEE Annals of the History of Computing (2009)

Since the 1950s, digital games in Finland have bridged gaps between professional users and the public as well as institutional and domestic environments. The early significance of Finland's 1970s and 1980s computer games hobbyist and hacker cultures is still evident: clear connections exist between the country's rich history of such subcultures and its modern international success in multimedia and mobile entertainment.
Testbeds for Assessing Critical Scenarios in Power Control Systems
Authors: Giovanna Dondossola, Geert Deconinck, Fabrizio Garrone, Hakem Beitollahi
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

The paper presents a set of control system scenarios implemented in two testbeds developed in the context of the European Project CRUTIAL - CRitical UTility InfrastructurAL Resilience. The selected scenarios refer to power control systems encompassing information and communication security of SCADA systems for grid teleoperation, impact of attacks on inter-operator communications in power emergency conditions, impact of intentional faults on the secondary and tertiary control in power grids with distributed generators. Two testbeds have been developed for assessing the effect of the attacks and prototyping resilient architectures.
Eyes-free overviews for mobile map applications
Authors: David McGookin, Stephen Brewster
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

We outline two new auditory interaction techniques which build upon existing visual techniques to display off-screen points of interest (POI) in map based mobile computing applications. SonicPie uses a pie menu and compass metaphor, allowing a user to scroll around the environment, hearing off-screen POIs in a spatialised auditory environment. EdgeTouch integrates with the Wedge technique of Gustafson et al. [2], sonifying the POIs as the user comes into contact with them when moving his or her finger around a "sonification border".
Is it really that difficult to parse German?
Authors: Sandra Kübler, Erhard W. Hinrichs, Wolfgang Maier
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

This paper presents a comparative study of probabilistic treebank parsing of German, using the Negra and T&uuml;Ba-D/Z tree-banks. Experiments with the Stanford parser, which uses a factored PCFG and dependency model, show that, contrary to previous claims for other parsers, lexicalization of PCFG models boosts parsing performance for both treebanks. The experiments also show that there is a big difference in parsing performance, when trained on the Negra and on the T&uuml;Ba-D/Z treebanks. Parser performance for the models trained on T&uuml;Ba-D/Z are comparable to parsing results for English with the Stanford parser, when trained on the Penn treebank. This comparison at least suggests that German is not harder to parse than its West-Germanic neighbor language English.
Shape Classification and Analysis: Theory and Practice, 2nd edition
Authors: Luciano da Fontoura Costa, Roberto Marcondes Cesar Jr.
Venue:  (2009)

Because the properties of objects are largely determined by their geometric features, shape analysis and classification are essential to almost every applied scientific and technological area. A detailed understanding of the geometrical features of real-world entities (e.g., molecules, organs, materials and components) can provide important clues about their origin and function. When properly and carefully applied, shape analysis offers an exceedingly rich potential to yield useful applications in diverse areas ranging from material sciences to biology and neuroscience.Get Access to the Authors Own Cutting-Edge Open-Source Software Projectsand Then Actually Contribute to Them Yourself! The authors of Shape Analysis and Classification: Theory and Practice, Second Edition have improved the bestselling first edition by updating the tremendous progress in the field. This exceptionally accessible book presents the most advanced imaging techniques used for analyzing general biological shapes, such as those of cells, tissues, organs, and organisms. It implements numerous corrections and improvementsmany of which were suggested by readers of the first editionto optimize understanding and create what can truly be called an interactive learning experience. New Material in This Second Edition AddressesGraph and complex networksDimensionality reductionStructural pattern recognitionShape representation using graphs Graphically reformulated, this edition updates equations, figures, and references, as well as slides that will be useful in related courses and general discussion. Like the popular first edition, this text is applicable to many fields and certain to become a favored addition to any library.Visit http://www.vision.ime.usp.br/~cesar/shape/ for Useful Software, Databases, and Videos