ppxscal/embedding_network huggingface dataset:
The New Method of Signature Recognition Based on Least Squares Contour Alignment
Authors: Krzysztof Wrobel, Rafal Doroz
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

The paper presents a new method of signature recognition based on least squares contour alignment. During the study six features of signatures were examined, such as: X, Y , P, V x, V y, V p. On the basis of the analyzed features of each signature two-dimensional graphs were created. Values of successive elements of any features of a signature, were taken as coordinates of points on the chart. Then, the chart created in such a way was treated as a contour and compared each other. In the study, usefulness of individual features was also evaluated.
Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations
Authors: Travis Dierks, S. Jagannathan
Venue: Journal of Intelligent and Robotic Systems (2009)

In this paper, asymptotically stable control laws are developed for leader---follower based formation control using backstepping in order to accommodate the dynamics of the robots and the formation. First, a kinematic controller is developed around control strategies for single mobile robots and the idea of virtual leaders. The virtual leader is replaced with a physical mobile robot leader, and an auxiliary velocity control law is developed in order to prove the global asymptotic stability of the followers which in turn allows the local asymptotic stability of the entire formation. A novel approach is taken in the development of the dynamical controller such that the torque control inputs for the follower robots include the dynamics of the follower robot as well as the dynamics of its leader, and two cases are considered--the case when the robot dynamics are known and the case when they are unknown. In the first case, a robust adaptive control term is utilized to account for unmodeled dynamics. For the latter, a robust adaptive term is augmented with a NN control law to achieve asymptotic tracking performance in contrast with most NN controllers where a bounded tracking error result is shown. Additionally, the NN approximation error is assumed to be a function of tracking errors instead of a constant upper bound, which is commonly found in the literature. The stability of the follower robots as well as the entire formation is demonstrated in each case using Lyapunov methods and numerical results are provided.
Stereo Localization Using Dual PTZ Cameras
Authors: Sanjeev Kumar, Christian Micheloni, Claudio Piciarelli
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that can localize a moving target in a complex environment. Given an approximate target position that can be estimated by a fixed camera with a wide field of view, two PTZ cameras with a large baseline are pointed toward the target in order to estimate precisely its position. The overall method is divided in three parts: offline construction of a look-up-table (LUT) of rectification matrices, use of the LUT in real time for computing the rectification transformations for arbitrary camera positions, and finally 3D target localization. A chain of homographic transformations are used for finding the matching between different pairs of wide baseline stereo images. The proposed stereo localization system has two advantages: improved localization on a partially occluded target and monitoring a large environment using only two PTZ cameras without missing significant information. Finally, through experimental results, we show that the proposed system is able to make required localization of targets with good accuracy. 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
The Hermitian Positive Definite Solution of Some Matrix Equations
Authors: Xuetting Liu, Peiyu Wei
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

In this paper, the Hermitian positive definite solutions of the nonlinear matrix equation are studied. We discuss the relation between and by the eigen value and eigenvector of and respectively, and the property of numerical range of. An iterative method for obtaining positive definite solutions of the equation is constructed.
Distributed Privilege Enforcement in PACS
Authors: Christoph Sturm, Ela Hunt, Marc H. Scholl
Venue: Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII (2009)

We present a new access control mechanism for P2P networks with distributed enforcement, called P2P Access Control System (PACS). PACS enforces powerful access control models like RBAC with administrative delegation inside a P2P network in a pure P2P manner, which is not possible in any of the currently used P2P access control mechanisms. PACS uses client-side enforcement to support the replication of confidential data. To avoid a single point of failure at the time of privilege enforcement, we use threshold cryptography to distribute the enforcement among the participants. Our analysis of the expected number of messages and the computational effort needed in PACS shows that its increased flexibility comes with an acceptable additional overhead.
Information Communication Technologies and Globalization of Retailing Applications
Authors: Rajagopal
Venue:  (2009)

Globalization has pushed the use of technology in business with advancing information and communication technology becoming a key factor in the future development of the retailing industry. Technology applications have significantly contributed to the exponential growth and profits of retailing institutions worldwide. Information Communication Technologies and Globalization of Retailing Applications critically examines the synergy of technology use and conventional wisdom in retailing and explores contemporary changes determining higher customer value. Discussions in this book encompass strategy implications for managers to optimize their advantage in retailing through the application of ICT, bridging the customer-technology gap. 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
Smoothness equivalence properties of univariate subdivision schemes and their projection analogues
Authors: Philipp Grohs
Venue: Numerische Mathematik (2009)

We study the following modification of a linear subdivision scheme S: let M be a surface embedded in Euclidean space, and P a smooth projection mapping onto M. Then the P-projection analogue of S is defined as T :=&#x00a0;P &#x25e6; S. As it turns out, the smoothness of the scheme T is always at least as high as the smoothness of the underlying scheme S or the smoothness of P minus 1, whichever is lower. To prove this we use the method of proximity as introduced by Wallner et&#x00a0;al. (Constr Approx 24(3):289&#x2013;318, 2006; Comput Aided Geom Design 22(7):593&#x2013;622, 2005). While smoothness equivalence results are already available for interpolatory schemes S, this is the first result that confirms smoothness equivalence properties of arbitrary order for general non-interpolatory schemes.
Ultra Compact Laser Based Projectors and Imagers
Authors: Harald Schenk, Thilo Sandner, Christian Drabe, Michael Scholles, Klaus Frommhagen, Christian Gerwig, Hubert Lakner
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

2D micro scanning mirrors are presented which make use of a degressive spring allowing to achieve an optical scan range of up to 112° x 84°, optically. The scanning mirrors are deployed for highly miniaturized monochrome and full color projectors as well as for laser imagers. The projectors allow for projection with VGA resolution at 50 Hz frame rate. The laser imager supports full color SVGA resolution at 30 Hz frame rate. Both, the projector and the imager are based on a single 2D scanner chip and thus could be combined in a single ultra compact system for simultaneous imaging and projection with high depth of focus.
Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) Lung Images for Diffuse Lung Disease Classification
Authors: Kiet T. Vo, Arcot Sowmya
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

A directional multi-scale modeling scheme based on wavelet and contourlet transforms is employed to describe HRCT lung image textures for classifying four diffuse lung disease patterns: normal, emphysema, ground glass opacity (GGO) and honey-combing. Generalized Gaussian density parameters are used to represent the detail sub-band features obtained by wavelet and contourlet transforms. In addition, support vector machines (SVMs) with excellent performance in a variety of pattern classification problems are used as classifier. The method is tested on a collection of 89 slices from 38 patients, each slice of size 512x512, 16 bits/pixel in DICOM format. The dataset contains 70,000 ROIs of those slices marked by experienced radiologists. We employ this technique at different wavelet and contourlet transform scales for diffuse lung disease classification. The technique presented here has best overall sensitivity 93.40% and specificity 98.40%.
Discriminative models for semi-supervised natural language learning
Authors: Sajib Dasgupta, Vincent Ng
Venue: Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing (2009)

An interesting question surrounding semi-supervised learning for NLP is: should we use discriminative models or generative models? Despite the fact that generative models have been frequently employed in a semi-supervised setting since the early days of the statistical revolution in NLP, we advocate the use of discriminative models. The ability of discriminative models to handle complex, high-dimensional feature spaces and their strong theoretical guarantees have made them a very appealing alternative to their generative counterparts. Perhaps more importantly, discriminative models have been shown to offer competitive performance on a variety of sequential and structured learning tasks in NLP that are traditionally tackled via generative models, such as letter-to-phoneme conversion (Jiampojamarn et al., 2008), semantic role labeling (Toutanova et al., 2005), syntactic parsing (Taskar et al., 2004), language modeling (Roark et al., 2004), and machine translation (Liang et al., 2006). While generative models allow the seamless integration of prior knowledge, discriminative models seem to outperform generative models in a "no prior", agnostic learning setting. See Ng and Jordan (2002) and Toutanova (2006) for insightful comparisons of generative and discriminative models.
Towards Fine-Grained Usability Testing: New Methodological Directions with Conversation Analysis
Authors: Marko Nieminen, Sari Karjalainen, Sirpa Riihiaho, Petri Mannonen
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

We examine the possibilities of conversation analysis (CA) in usability testing. The goal is to examine how usability test setups serve as source for the CA analysis. We used video data from two earlier usability tests. Our results indicate that traditional test setup does not serve as a sufficient source for CA. The actions in the user interface were unclear, the user's facial reactions were not visible, and the user is occasionally having more conversation with the moderator than the system. CA approach can be taken towards two separate directions regarding usability tests: Analysis can be focused to the dialogue between the moderator and the user or on the user-system interaction. There is a need to fine-tune data gathering with detailed level recording of keypresses and system outputs. However, CA-enhanced usability testing allows in-depth analysis of usability problems as well as analysis of holistic interaction between user and system.
Research on Image Median Filtering Algorithm and Its FPGA Implementation
Authors: Yueli Hu, Huijie Ji
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Image filtering plays an important role in image preprocessing. The median filters, including the standard median filter and the multi-level median filter, which can preserve image features and thin lines are introduced and discussed in detail. After that, the FPGA based solution for the algorithms of these two filters are presented. This paper also gives account to the FPGA implementation of the complete structure of a general filter including the filtering window generating module and the row-column counting module. RTL level simulation is performed in Modelsim to verify the functional correctness and system level simulation is performed in Matlab to compare the filtering effect.
Modelling interactions to support and manage collaborative decision-making processes in design situations
Authors: Eric Bonjour, Farouk Belkadi, Nadege Troussier, Maryvonne Dulmet
Venue: International Journal of Computer Applications in Technology (2009)

To cope with the increasing complexity of products, new product development (NPD) projects require the involvement of several designers coming from various functional departments. Designers' decisions imply modifications on different objects and are likely to affect the decision-making of other designers. Two kinds of collaborative activities are strongly interrelated: technical ones that result in decisions regarding the product definition and organisational ones that concern the project organisation. In this paper, we aim at developing a new conceptual framework for modelling, managing and tracking decision-making processes that are knowledge-intensive and collaborative. This framework intends to help designers to support both technical and organisational decisions. Its originality comes from the concepts of 'specific role' and 'action plan' that enhance the recursive modelling of activities and are valuable at different detail levels of the decision-making processes: project, team and individual levels. Specific decision-making models and an industrial case study illustrate the relevance of the proposed framework.
Implementation and Evaluation of the Enhanced Header Compression (IPHC) for 6LoWPAN
Authors: Alessandro Ludovici, Anna Calveras, Marisa Catalan, Carles Gómez, Josep Paradells
Venue: Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future (2009)

6LoWPAN defines how to carry IPv6 packets over IEEE 802.15.4 low power wireless or sensor networks. Limited bandwidth, memory and energy resources require a careful application of IPv6 in a LoWPAN. The IEEE 802.15.4 standard defines a maximum frame size of 127 bytes that decreases to 102 bytes considering the header overhead. A further reduction is due to the security, network and transport protocols header overhead that, in case of IPv6 and UDP, leave only 33 bytes for application data. A compression algorithm is necessary in order to reduce the overhead and save space in data payload. This paper describes and compares the proposed IPv6 header compression mechanisms for 6LoWPAN environments.
CSR: Constrained Selfish Routing in Ad-Hoc Networks
Authors: Christine Bassem, Azer Bestavros
Venue: Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications (2009)

Routing protocols for ad-hoc networks assume that the nodes forming the network are either under a single authority, or else that they would be altruistically forwarding data for other nodes with no expectation of a return. These assumptions are unrealistic since in ad-hoc networks, nodes are likely to be autonomous and rational (selfish), and thus unwilling to help unless they have an incentive to do so. Providing such incentives is an important aspect that should be considered when designing ad-hoc routing protocols. In this paper, we propose a dynamic, decentralized routing protocol for ad-hoc networks that provides incentives in the form of payments to intermediate nodes used to forward data for others. In our Constrained Selfish Routing (CSR) protocol, game-theoretic approaches are used to calculate payments (incentives) that ensure both the truthfulness of participating nodes and the fairness of the CSR protocol. We show through simulations that CSR is an energy efficient protocol and that it provides lower communication overhead in the best and average cases compared to existing approaches.
Discrete Distortion for Surface Meshes
Authors: Mohammed Mostefa Mesmoudi, Leila Floriani, Paola Magillo
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

Discrete distortion for two- and three-dimensional combinatorial manifolds is a discrete alternative to Ricci curvature known for differentiable manifolds. Here, we show that distortion can be successfully used to estimate mean curvature at any point of a surface. We compare our approach with the continuous case and with a common discrete approximation of mean curvature, which depends on the area of the star of each vertex in the triangulated surface. This provides a new, area-independent, tool for curvature estimation and for morphological shape analysis. We illustrate our approach through experimental results showing the behavior of discrete distortion.
Image Processing Technology for Pipe Weld Visual Inspection
Authors: Gaohua Liao, Junmei Xi
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

To the pipeline welding defect detection, robot tracking weld reliably, the welds original image acquired by visual sensor need pretreatment to eliminate the impact of noise. A pipeline welding machine vision detection method proposed in this paper. First of all, the use of neighborhood mean filter for smoothing, the largest variance threshold method selecting adaptive threshold to segmentation image. Image after smooth will be the binarization processing. Then remove the small area noise with labeling method, get a clear image of the weld. The level of projection method to the recognition of weld image and determine the location of weld. The experiments show that the pretreatment method solute the prevailing situation of uneven illumination, and also reducing the size of the processing image, reducing the amount of data, saving time, meeting the needs of the pipeline weld tracking real-time detection, laying a solid foundation for follow-up quality inspection.
User's issues in crossmedia applications
Authors: João Soares de Oliveira Neto, Nicolas Roussel, Lucia V.L. Filgueiras
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

Technology allows users to interact with a wide variety of information and services. However, more and more users need to integrate complementary content to previously accessed information. Crossmedia applications combine different information pieces, which are stored in different media, as a continuous story. Our study selects the particular case of combining printed material and internet resources for the purpose of delivering complementary information to users. Our investigation conducts a workshop with users composed of a scenario-driven interview and a talk-aloud protocol. This experiment reveals the behavior and difficulties of users when they are combining digital and non-digital media to gather complementary information. In addition, some recommendation is suggested focused on the improvement of the user's experience in crossmedia application that should be considered by designers.
Grid Dependent Tasks Scheduling Based on Hybrid Adaptive Genetic Algorithm
Authors: Youchan Zhu, Xueying Guo
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Dependent tasks scheduling in grid environment is a NP-complete problem. Convergence in the accuracy for conventional GA is better than other scheduling algorithms, but the speed of convergence is too slow in a realistic scheduling. In view of this situation, this paper presents a Hybrid Adaptive Genetic Algorithm (HAGA) which can improve the local search ability by adding the adjustment for the specific problem, so it has good global and local search ability. At the same time, in order to avoid such disadvantages as premature convergence, low convergence speed and low stability, the algorithm adjusts the crossover and mutation probability adaptively and nonlinearly. Experiments show that the presented algorithm not only improves the speed of convergence, but also improves the accuracy of convergence.
Enhancing grid security by fine-grained behavioral control and negotiation-based authorization
Authors: Hristo Koshutanski, Aliaksandr Lazouski, Fabio Martinelli, Paolo Mori
Venue: International Journal of Information Security (2009)

Nowadays, Grid has become a leading technology in distributed computing. Grid poses a seamless sharing of heterogeneous computational resources belonging to different domains and conducts efficient collaborations between Grid users. The core Grid functionality defines computational services which allocate computational resources and execute applications submitted by Grid users. The vast models of collaborations and openness of Grid system require a secure, scalable, flexible and expressive authorization model to protect these computational services and Grid resources. Most of the existing authorization models for Grid have granularity to manage access to service invocations while behavioral monitoring of applications executed by these services remains a responsibility of a resource provider. The resource provider executes an application under a local account, and acknowledges all permissions granted to this account to the application. Such approach poses serious security threats to breach system functionality since applications submitted by users could be malicious. We propose a flexible and expressive policy-driven credential-based authorization system to protect Grid computational services against a malicious behavior of applications submitted for the execution. We split an authorization process into two levels: a coarse-grained level that manages access to a computational service; and a fine-grained level that monitors the behavior of applications executed by the computational service. Our framework guarantees that users authorized on a coarse-grained level behave as expected on the fine-grained level. Credentials obtained on the coarse-grained level reflect on fine-grained access decisions. The framework defines trust negotiations on coarse-grained level to overcome scalability problem, and preserves privacy of credentials and security policies of, both, Grid users and providers. Our authorization system was implemented to control access to the Globus Computational GRAM service. A comprehensive performance evaluation shows the practical scope of the proposed system.