ppxscal/embedding_network huggingface dataset:
A Desynchronization Resilient Watermarking Scheme
Authors: Xiaojun Qi, Ji Qi
Venue: Transactions on Data Hiding and Multimedia Security IV (2009)

This paper presents a content-based desynchronization resistant digital image watermarking scheme. The image content is represented by strong important feature points obtained by our robust and improved Harris corner detector. These feature points are more resistant to geometric attacks and are therefore used by the Delaunay triangle matching and image restoration method to reduce synchronization errors. The spread-spectrum-based blind watermark embedding and retrieval scheme is applied in the Fourier domain of each perceptually highly textured subimage. The multiplicative scheme is then used to embed the same copy of the watermark at highly secure mid-frequency positions generated by one-way hash functions with different secret keys. The watermark detection decision is based on the number of matched bits between the recovered and embedded watermarks in embedding subimages. Experimental results demonstrate that our scheme is more robust to desynchronization attacks (i.e., geometric and common image processing attacks) than other peer feature-based approaches.
Virtual Noctiluca: Interaction between Light and Water Using Real-Time Fluid Simulation and 3D Motion Measurement
Authors: Kyouhei Aida, Noriko Nagata
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

In recent years, with the rapid improvement of the performance of computers, new possibilities for real-time simulation technologies are emerging. In this study, we simulated the behavior of water in real time and combined this simulation with a measurement of the user's 3D motion to simulate the interaction between water and light, as observed in Noctiluca. Noctiluca is oceanic plankton that produces light when physically stimulated. Stirring the surface of water containing Noctiluca in a completely dark place causes the surface to glow, and an observer can gain the mystical and fantastic experience of watching the glow becoming dim with the flow of the water.
Boosting sex identification performance
Authors: Shumeet Baluja, Henry Rowley
Venue: Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3 (2005)

This paper presents a method based on AdaBoost to identify the sex of a person from a low resolution grayscale picture of their face. The method described here is implemented in a system that will process well over 109 images. The goal of this work is to create an efficient system that is both simple to implement and maintain; the methods described here are extremely fast and have straightforward implementations. We achieve 80% accuracy in sex identification with less than 10 pixel comparisons and 90% accuracy with less than 50 pixel comparisons. The best classifiers published to date use Support Vector Machines; we match their accuracies with as few as 500 comparison operations on a 20×20 pixel image. The AdaBoost based classifiers presented here achieve over 93% accuracy; these match or surpass the accuracies of the SVM-based classifiers, and yield performance that is 50 times faster.
Data Mining of Time Series Based on Wave Cluster
Authors: Dong Jixue
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Considering the researching background, this paper discussed the associated research of data mining technology, time series and financial time series data mining, separately. As following, the basic theory and methods of phase space reconstruction were analyzed in details. All of these provided the theoretical basis and technical feasibility to time series data mining based on phase space reconstruction.After contrasting the different means of time series pattern mining, we pointed out the problem of time series data mining framework TSDM, and presented the temporal patterns mining method based Wave Cluster systematically.
A Case Study in Community-Driven Translation of a Fast-Changing Website
Authors: David Ellis
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

Facebook's translation tool allows users (translators) to click on a phrase as they browse the site, and inline see the original native string, vote on translations suggested by their peers or offer their own. We offer an innovative approach to web site internationalization that leverages a unique infrastructure and a dedicated user community to keep our interface up-to-date in translation. 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
Web augmentation of language models for continuous speech recognition of SMS text messages
Authors: Mathias Creutz, Sami Virpioja, Anna Kovaleva
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, we present an efficient query selection algorithm for the retrieval of web text data to augment a statistical language model (LM). The number of retrieved relevant documents is optimized with respect to the number of queries submitted. The querying scheme is applied in the domain of SMS text messages. Continuous speech recognition experiments are conducted on three languages: English, Spanish, and French. The web data is utilized for augmenting in-domain LMs in general and for adapting the LMs to a user-specific vocabulary. Word error rate reductions of up to 6.6% (in LM augmentation) and 26.0% (in LM adaptation) are obtained in setups, where the size of the web mixture LM is limited to the size of the baseline in-domain LM.
Protection of Mobile Agents Execution Using a Modified Self-Validating Branch-Based Software Watermarking with External Sentinel
Authors: Joan Tomàs-Buliart, Marcel Fernández, Miguel Soriano
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

Critical infrastructures are usually controlled by software entities. To monitor the well-function of these entities, a solution based in the use of mobile agents is proposed. Some proposals to detect modifications of mobile agents, as digital signature of code, exist but they are oriented to protect software against modification or to verify that an agent have been executed correctly. The aim of our proposal is to guarantee that the software is being executed correctly by a non trusted host. The way proposed to achieve this objective is by the improvement of the Self-Validating Branch-Based Software Watermarking by Myles et al.. The proposed modification is the incorporation of an external element called sentinel which controls branch targets. This technique applied in mobile agents can guarantee the correct operation of an agent or, at least, can detect suspicious behaviours of a malicious host during the execution of the agent instead of detecting when the execution of the agent have finished.
Autonomous Transmission Power Adaptation for Multi-Radio Multi-Channel Wireless Mesh Networks
Authors: Thomas O. Olwal, Barend J. Wyk, Karim Djouani, Yskandar Hamam, Patrick Siarry, Ntsibane Ntlatlapa
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

Multi-Radio Multi-Channel (MRMC) systems are key to power control problems in WMNs. Previous studies have emphasized throughput maximization in such systems as the main design challenge and transmission power control treated as a secondary issue. In this paper, we present an autonomous power adaptation for MRMC WMNs. The transmit power is dynamically adapted by each network interface card (NIC) in response to the locally available energy in a node, queue load, and interference states of a channel. To achieve this, WMN is first represented as a set of Unified Channel Graphs (UCGs). Second, each NIC of a node is tuned to a UCG. Third, a power selection MRMC unification protocol (PMMUP) that coordinates Interaction variables (IV) from different UCGs and Unification variables (UV) from higher layers is proposed. PMMUP coordinates autonomous power optimization by the NICs of a node. The efficacy of the proposed method is investigated through simulations.
Cultural variations in virtual spaces design
Authors: Antonella De Angeli
Venue: AI Society (2009)

This paper reports two studies investigating the role of culture on the design and personalisation of virtual spaces. The first study was a systematic analysis of 60 MSN virtual spaces belonging to British and Chinese students. The analysis concentrated on design patterns and communication style. The second study was an on-line survey designed to compare the relative importance of cultural values and personality traits on self-reported behaviour with, and preferences for, virtual space design. Results highlighted the importance of culture on design and communication in virtual spaces. Implications for interaction design are discussed.
Developing the 3D Adventure Game-Based Assessment System with Wii Remote Interaction
Authors: Kuang-Min Huang, Jui-Hung Chen, Chun-Yi Shen, Louis R. Chao, Timothy K. Shih
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

The advanced 3D graphic and computer technologies could provide advanced 3D virtual environment in order to let users have the immersion experiences in that environment. Also, as human interaction technologies, it could be helpful for providing more different and suitable interaction styles when facing some particula0072 interaction situations. The related works pointed out that the game elements could improve learners' motivation during learning. In this paper, we proposed the 3D Adventure Game-Based Assessment System could not only attract learners to take their assessment activities, but also help instructors to design and manage the related assessment content easily.
CCBitmaps: A Space-Time Efficient Index Structure for OLAP
Authors: Weiji Xiao, Jianqing Xi
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Quotient Cube is a classic algorithm to build data cube for OLAP. QC-Tree is based on Quotient Cube that can compress Cube further and accelerate query. This paper proposes a new index structure CC-Bitmap for OLAP which needs less storage space and improves queries performance significantly against QC-Trees, avoiding large memory and time consumption costs meanwhile. A new intersection algorithm CCListsIntersection is presented in this paper, which improves queries efficiency highly against traditional methods. Finally, detailed experiment evaluation is given to show that CC-Bitmap is a Space-Time efficient index structure for OLAP.
Web 3D Challenges on the Socialization and Integration of People with Activity Limitations
Authors: Yiannis Laouris
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

The Web 3D presents theoretical possibilities to render many physical and mental disabilities disappear. It allows users to do things they may not be able to do in the real world. This paper examines the requirements regarding accessibility and discusses the impact that 3D worlds could have on the socialization and integration of people with special needs.
Two for One: Tight Approximation of 2D Bin Packing
Authors: Klaus Jansen, Lars Prädel, Ulrich M. Schwarz
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

In this paper, we study the two-dimensional geometrical bin packing problem (2DBP): given a list of rectangles, provide a packing of all these into the smallest possible number of 1×1 bins without rotating the rectangles.We present a 2-approximate algorithm, which improves over the previous best known ratio of 3, matches the best results for the rotational case and also matches the known lower bound of approximability. Our approach makes strong use of a recently-discovered PTAS for a related knapsack problem and a new algorithm that can pack instances into OPT + 2 bins for any constant OPT.
Method to Design Multi Axis Motion Controller Using Extended DDA Circuit
Authors: Jun Zhang, Xu Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

The body of a motion controller comprises of command parser, trajectory planner, position loop and real-time interpolator, pulse generator, and pulse distributor.This paper illustrated design method of a general motion controller using digital pulse interface style. MCU make complex motion plans, the programmable digital hardware generates high frequency pulse trains. An extended DDA circuit is used to overcome the jitter problem that normal DDA has. The coordination of software and extended DDA circuit forming the position loop and detailed design method is illustrated with derivation and graph. Finally, a multi axis coordinated motion controller is designed using MCU and FPGA.
A Markovian model for the hybrid manufacturing planning and control method 'Double Speed Single Production Line'
Authors: Naoufel Cheikhrouhou, Christoph Hachen, Rémy Glardon
Venue: Computers and Industrial Engineering (2009)

In this paper, the hybrid production planning & control method Double Speed Single Production Line (DSSPL) is presented, modelled and its performances evaluated and compared to classical Production Planning and Control methods (PPC). DSSPL combines JIT/kanban and Material Requirement Planning for the production of different classes of products (A- and B-items based on a market or customer oriented analysis) on one single production line. By the use of a Markovian birth-death queuing model of a single-stage, two-product production system, the performance and the behavior of the basic DSSPL concept are analyzed and compared to the classical MRP concepts. Its capability to cope with limited resources is illustrated with an industrial case study where DSSPL has been implemented to solve coordination problems between a plastic molding feeder shop and the final assembly line of a micromotor producer.
Cultural differences in relational knowledge
Authors: Megumi Kuwabara, Linda B. Smith
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

Much research in developmental psychology and cognitive development presumes a universal developmental trend that is independent of culture. One such trend, from object to relational knowledge, is seen over and over. However, most of this research is based on the study of children and individuals from Western cultures. This paper considers the possibility that this developmental trend might differ in different cultures.
Towards a cognitive model of crowd behavior based on social comparison theory
Authors: Natalie Fridman, Gal A. Kaminka
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other's presence. Unfortunately, existing models leave many open challenges. In particular, psychology models often offer only qualitative description, while computer science models are often simplistic, and are not reusable from one simulated phenomenon to the next. We propose a novel model of crowd behavior, based on Festinger's Social Companson Theory (SCT). We propose a concrete algorithmic framework for SCT and evaluate its implementation in several crowd behavior scenarios. Results from task measures and human judges evaluation shows that the SCT model produces improved results compared to base models from the literature.
Resilience of Interaction Techniques to Interrupts: A Formal Model-Based Approach
Authors: Maurice H. Beek, Giorgio P. Faconti, Mieke Massink, Philippe A. Palanque, Marco Winckler
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

In many modern working environments interruptions are commonplace as users must temporarily suspend a task to complete an unexpected intervening activity. As users are faced with more and more sources of information competing for their attention, it is becoming increasingly important to understand how interruptions affect their abilities to complete tasks. This paper introduces a new perspective for research in this field by employing analytical, model-based techniques that are informed by well-established cognitive theories and empirical data available in the literature. We propose stochastic modelling and model checking to predict measures of the disruptive effects of interruptions to two well-known interaction techniques: Drag 'n Drop and Speak 'n Drop. The approach also provides a way to compare the resilience of different interaction techniques to the presence of external interruptions that users need to handle. The obtained results are in a form that allows validation with results obtained by empirical studies involving real users.
XRCE Participation to the Book Structure Task
Authors: Hervé Déjean, Jean-Luc Meunier
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

We present here XRCE participation to the Structure Extraction task of the INEX Book track. After briefly explaining the method used for detecting table of contents and their corresponding entries in the book body, we will mainly discuss the evaluation and the main issues we faced, and eventually we will propose improvements for our method as well as for the evaluation framework/method.
A Motion Vector Coding Scheme Based on Bottom-Up Merging Procedure
Authors: Shou-Yi Tseng, Che-How Mak
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

This paper presents a new motion vector coding scheme based on bottom-up merging procedure. For low motion video sequences, most of the storage space of the motion vector data spending on the low motion objects or stills back ground. The proposed scheme merges the neighboring macroblocks with similar motion vectors into bigger rectangular blocks, and those merged blocks may represent as all or a part of the objects and the background. For the merged blocks, each block will need only one motion vector to reconstruct it. Experimental results show that the proposed scheme can reduce about 50% motion vector coding bits as compared to the conventional way of storing motion vectors for each macroblock.
Mining and modeling relations between formal and informal Chinese phrases from web corpora
Authors: Zhifei Li, David Yarowsky
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their formal equivalents. Specifically, we proposed a bootstrapping procedure to identify a list of candidate informal phrases in web corpora. Given an informal phrase, we retrieve contextual instances from the web using a search engine, generate hypotheses of formal equivalents via this data, and rank the hypotheses using a conditional log-linear model. In the log-linear model, we incorporate as feature functions both rule-based intuitions and data co-occurrence phenomena (either as an explicit or indirect definition, or through formal/informal usages occurring in free variation in a discourse). We test our system on manually collected test examples, and find that the (formal-informal) relationship discovery and extraction process using our method achieves an average 1-best precision of 62%. Given the ubiquity of informal conversational style on the internet, this work has clear applications for text normalization in text-processing systems including machine translation aspiring to broad coverage.
Virtual Disk Image Reclamation for Software Updates in Virtual Machine Environments
Authors: Bin Chen, Nong Xiao, Zhiping Cai, Fuyong Chu, Zhiying Wang
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

Virtual disks (VD) are the main form of storage in today's virtual machine (VM) environments for they have many attractive features, such as encapsulation, mobility, isolation, etc. A typical virtual disk image usually has a large size of at least several gigabytes, a disadvantage that may limit its usage in many situations, such as fast software deployment in large-scale virtual machine environments, fast VM migration in local or distributed environments, etc. The COW (Copy-on-Write) virtual block device supported by many virtual machine monitors can split the traditional one-piece large-sized VD image into multiple smaller-sized VD images (COW disks). However, frequent or long-term software updates may result in large numbers of COW disks. Moreover, the accumulated large numbers of old-version COW disks (OCD) installed with old-version software may cause serious disk space wastage. In this paper, we propose two VD image reclamation approaches RPD and RMD to reclaim the OCDs so as to free the disk space taken by the old-version software and to maintain the number of COW disks in a specific range to ease the VD image management. Based on QEMU and Linux system, we have developed tools to implement the two approaches. Experiments show that the two VD image reclamation approaches can effectively reclaim the OCDs so as to be able to support frequent or long-term software updates in virtual machine environments.
The Application of Unascertained Measure Model to Synthetic Evaluation for Underground Fire Risk of Bofang Coal Mine
Authors: Zhanglin Guo, Yang Wu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Based on the unascertained theory, the paper elaborated exhaustively the modeling processs of the unascertained measure model. Combined with the unascertained measure model, the safety factors affecting underground fire are analyzed and evaluated. According to the reality of Bofang coal seam 3, we can collect the measured data, determine the fire risk evaluation index, calculate for example by using the unascertained measure model, and evaluate the underground fire risk level of Bofang coal mine. The result is found to be in accordance with the reality, after it is verified.The method is designed to enhance the effectiveness of synthetic evaluation for underground fire risk , as provided the proper safety measures basis for the departments concerned.
Random Low Degree Polynomials are Hard to Approximate
Authors: Ido Ben-Eliezer, Rani Hod, Shachar Lovett
Venue: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (2009)

We study the problem of how well a typical multivariate polynomial can be approximated by lower degree polynomials over ${\mathbb{F}_{2}}$. We prove that, with very high probability, a random degree d + 1 polynomial has only an exponentially small correlation with all polynomials of degree d, for all degrees d up to $\Theta\left(n\right)$. That is, a random degree d + 1 polynomial does not admit a good approximation of lower degree. In order to prove this, we prove far tail estimates on the distribution of the bias of a random low degree polynomial. Recently, several results regarding the weight distribution of Reed---Muller codes were obtained. Our results can be interpreted as a new large deviation bound on the weight distribution of Reed---Muller codes.