ppxscal/embedding_network huggingface dataset:
Iris Recognition in Nonideal Situations
Authors: Kaushik Roy, Prabir Bhattacharya
Venue: Proceedings of the 12th International Conference on Information Security (2009)

Most of the state-of-the-art iris recognition algorithms focus on processing and recognition of the ideal iris images which are captured in a controlled environment. In this paper, we process the nonideal iris images which are acquired in an unconstrained situation and are affected severely by gaze deviation, eyelids and eyelashes occlusion, non uniform intensity, motion blur, reflections, etc. To segment the nonideal iris images accurately, we deploy a variational level set based curve evolution scheme, which uses significantly larger time step for numerically solving the evolution partial differential equation (PDE), and therefore, speeds up the curve evolution process drastically. Genetic Algorithms (GAs) are deployed to select the subset of informative features by combining the valuable outcomes from the multiple feature selection criteria without compromising the recognition accuracy. The verification performance of the proposed scheme is validated using three nonideal iris datasets, namely, UBIRIS Version 2, ICE 2005, and WVU datasets.
On the Relevance of Node Isolation to the K-Connectivity of Wireless Optical Sensor Networks
Authors: Unoma Okorafor, Deepa Kundur
Venue: IEEE Transactions on Mobile Computing (2009)

In designing wireless multihop sensor networks, determining system parameters that guarantee a reasonably connected network is crucial. In this paper, we investigate node isolation in wireless optical sensor networks (WOSNs) as a topology attribute for network connectivity. Our results pertain to WOSNs modeled as random-scaled sector graphs that employ directional broad-beamed free space optics for point-to-point communication. We derive a generalized analytical expression relating the probability that no node is isolated to the physical layer parameters of node density, transmitter radius, and angular beam width. Through simulations, we demonstrate that for probability values close to 1, dense networks, and increasing beam width, the probability that the WOSN is connected is tightly upper bounded by the probability that no isolated node exists. In addition, our study demonstrates conditions for probabilistic K-connectivity guarantees and provides empirical insights on the impact of clustering on connectivity by employing simulations to validate analytical derivations. Our analysis provides a methodology of practical importance to choosing physical layer parameter values for effective network level design.
Design and Implementation of Flow-Level Simulator for a Network with Heterogeneous Flows
Authors: Takeaki Nishioka, Yusuke Sakumoto, Hiroyuki Ohsaki, Makoto Imase
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

In this paper, we present design and implementation of a flow-level network simulator called FSIM+ (Fluid-based network SIMulator plus) for a network with heterogeneous flows transferred with different transport protocols: TCP,XCP, and UDP. In recent years, flow-level network simulators,which can perform significantly faster simulation than conventional packet-level network simulators, have been receiving attention. However, existing flow-level network simulators can only simulate persistent TCP flows. In this paper, by utilizing fluid models for several transport protocols, a flow-level network simulator FSIM+ for a network with heterogeneous flows is designed. Through several experiments using our FSIM+ implementation, we evaluate its effectiveness quantitatively. Both accuracy and effectiveness of FSIM+ are evaluated by comparing with the popular packet-level network simulator ns-2. Our findings include that our FSIM+ implementation achieves (1) less than 6% simulation errors in steady-state performance metrics, (2) approximately 10 times faster simulation, and (3) more than 20 times memory efficiency.
Magic Lantern Guides: Nikon D90 Multimedia Workshop, 1st edition
Authors: Lark Books
Venue:  (2009)

Magic Lantern Guides Multimedia WorkshopsThe worlds best photographic package! Magic Lantern Guides and DVDs have always provided the very best, most in-depth coverage of a cameras ins-and-outs. Now, theres even more magic on the market for photographers: the MAGIC LANTERN MULTIMEDIA WORKSHOP. Its a complete class in digital photography with a D-SLR cameraone that enables you to learn the essentials at your own pace, in the comfort in your own home. The attractive package includes:- Specific 80-minute DVD: An authoritative DVD guide made just for your model. Created by photographers for photographers, it covers specific camera features and functions. The format allows you to navigate easily between different topics and review chapters any time.- Taking Great Digital Photos: This full-color, 64-page book gets newcomers to the digital world started right. Packed with picture-taking tips and information on digital file formats, it explains how f/stops and shutter speeds work together to create an exposure, which focal lengths are best for various subjects, and how to get accurate color with white balance.- Great Photos with Your Digital SLR 60-minute DVD: This live-action tutorial demystifies digital shooting, and shows how to compose photos; choose the best picture-quality settings; improve results with the built-in flash; and interpret your histogram. Plus, see when to trust your cameras automatic settingsor change them yourself. - Quick Reference Wallet Card: This laminated take-along is an ideal in-the-field key to camera and menu operations.Theres nothing else like this on the market! 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 Application of Rough Set Theory in Object Identification of an Intelligent Robot
Authors: Song Hong, Hu Lianjun, Zeng Xiaohui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

In the object identification of mobile robot, the digital signal processor DSP is used as the main central process unit for its high control ability and computing power. Through introducing the rough set theory into the multi-sensor information fusion technology, real-time and fast object identification can be achieved. Results of experiments show the validity and practicability of the method proposed in the paper.
Preparation and Characterization of Al-pillared Montmorillonites
Authors: Xu Hongyan, Guo Aihong, Xu Hongfei, Wang Yonggang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Al-pillared montmorillonites (Al-MMT) were synthesized from natural occurring sodium montmorillonite through the exchange of inter-lamellar ions with hydroxyalumina polycations. Furthermore, the morphology, composite structure and pore properties of such composite materials were investigated by Powder X-ray Diffraction (XRD), Fourier Transformation Infra-red Spectra (FTIR) and Nitrogen Adsorption-Desorption Isotherms The products retain their layered structure and their pore structures are a slit-shaped pore between plate-like particles. The resultant products possess BJH pore volume as large as 0.18cm3g-1, high BET specific surface area of over 100m2g-1, narrow pore size distribution in the mesopore region 7-7.5nm after thermal treatment at 500 ºC.
Hierarchical Decomposition of Handwritten Manuscripts Layouts
Authors: Vincent Malleron, Véronique Eglin, Hubert Emptoz, Stéphanie Dord-Crouslé, Philippe Régnier
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this paper we propose a new approach to improve electronic editions of literary corpus, providing an efficient estimation of manuscripts pages structure. In any handwriting documents analysis process, structure recognition is an important issue. The presence of variable inter-line spaces, of inconstant base-line skews, overlappings and occlusions in unconstrained ancient 19th handwritten documents complicates the structure recognition task. Text line and fragment extraction is based on the connexity labelling of the adjacency graph at different resolution levels, for borders, lines and fragments extraction.
Performance of Optical Ring Architectures with Variable-Size Packets: In-Line Buffers vs Semi-synchronous and Asynchronous Transparent MAC Protocols
Authors: Thierry Eido, Tuan Dung Nguyen, Tülin Atmaca, Dominique Chiaroni
Venue: Traffic Management and Traffic Engineering for the Future Internet: First Euro-NF Workshop, FITraMEn 2008, Porto, Portugal, December 11-12, Revised Selected Papers (2009)

The rapid growth in client application demands, in terms of bandwidth and Quality of Service (QoS), has motivated the deployment of the optical technology at Metro Access and Metro Core Networks. A new Ring-based Optical Network Architecture is being designed by Alcatel-Lucent with a view to offer a cost effective solution that provides also some added values in terms of reliability and performance. In this paper, we propose a packet size-based scheduling algorithm and a priority-based Packet Erasing Mechanism (PEM). These two mechanisms improve the performance (in terms of packet loss ratios and mean access delays) of the proposed optical ring architecture. Finally, through simulation works we present a performance analysis and comparison of three different optical ring architectures in competition. Obtained results provide interesting conclusions on the behavior and performance tendencies for each one of the studied architectures.
Steps on the Road to Clinical Application of Decision Support --- Example TREAT
Authors: Steen Andreassen, Alina Zalounina, Knud Buus Pedersen, John Gade, Mical Paul, Leonard Leibovici
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

The decision support system TREAT advices on antibiotic treatment of severe infections. A multicenter randomized clinical trial has demonstrated that Treat reduces inappropriate treatment by 50%. This paper will show that TREAT satisfies several features closely correlated with decision support systems's ability to improve clinical practice. Examples of such criteria are: providing recommendations, not just assessments; transparent line of reasoning; convenience in use. Additional design features, such as transferability and addressing an important clinical problem, will also be discussed.
Classification with Meta-learning in Privacy Preserving Data Mining
Authors: Piotr Andruszkiewicz
Venue: Database Systems for Advanced Applications: DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, Brisbane, Australia, April 20 - 23, 2009 (2009)

In privacy preserving classification, when data is stored in a centralized database and distorted using a randomization-based technique, we have information loss and reduced accuracy of classification. Moreover, there are several possible algorithms, different reconstruction types (in case of decision tree) to use and we cannot point out the best combination of them. Meta-learning is the solution to combine information from all algorithms. Furthermore, it gives higher accuracy of classification. This paper presents the new meta-learning approach to privacy preserving classification for centralized data. Effectiveness of this solution has been tested on real data sets and presented in this paper. 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
Developing heuristics for the semiotics inspection of websites
Authors: Davide Bolchini, Rupa Chatterji, Marco Speroni
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

The usability of web communication depends on design decisions made along a number of dimensions. These include content, information architecture, navigation, graphics and the design of the interface signs (e.g. labels, command affordances and icons), that we generally call semiotics. Although there is awareness of the importance of the quality of these specific elements to ensure usability, existing usability evaluation methods fail to provide designers with inspection principles to specifically assess the semiotics aspects for web interfaces. This experience report illustrates and discusses the development of an initial set of heuristics and procedural tools aimed at guiding the semiotics inspection of large, information-intensive websites, as a separate concern from the other design dimensions, extensively covered in the usability literature. The semiotics heuristics defined represent a complementary toolkit to the existing usability methods.
Modeling the Form and Function of Clinical Practice Guidelines: An Ontological Model to Computerize Clinical Practice Guidelines
Authors: Syed Sibte Abidi, Shapoor Shayegani
Venue: Knowledge Management for Health Care Procedures: ECAI 2008 Workshop, K4HelP 2008, Patras, Greece, July 21, 2008, Revised Selected Papers (2009)

Computerization of Clinical Practice Guidelines (CPG) render them to be executable at the point-of-care. In this paper, we present a knowledge modeling methodology to model the form and function of CPG in terms of a new CPG ontology that supports CPG computerization and execution. We developed a CPG ontology, in OWL using Protégé, to represent both the structural elements and the knowledge objects encapsulated in a CPG. We instantiated over 5 different CPG using our CPG ontology, whereby the instantiated CPG can be executed, with patient data, using a logic-based execution engine to provide patient-specific recommendations. We also investigated the dynamic merging of multiple CPG, at the encoding and execution levels, to handle patient co-morbidities. We evaluated the CPG ontology by examining its representational efficacy to adequately model the salient constructs of a CPG based on an existing CPG modeling formalism.
Using Social Network to Predict the Behavior of Active Members of Online Communities
Authors: Ale iberna, Vasja Vehovar
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

In this paper we use the social networks of active members (i.e. authors) in online communities to predict their future behavior. We limit our discussion to web forums, the most generic type of online communities. We first address the problem of measuring the ties between authors where there is (almost) no direct information (i.e. citations) about the tie between two authors. We developed a surrogate metrics to this problem so that a corresponding social network can be constructed. However, while such networks are suitable for describing authors' behavior, they are not very suitable for predicting their future behavior. Here we suggest a very specific method for creating networks of authors that is specially designed for prediction. The main characteristic of our approach is that we take into account all available data while putting more weight on more recent data (messages). In addition to networks of authors, we also use the two-mode network of threads (topics) to generate predictions.All network data and other information related to the posting habits of the authors are thus used to develop an algorithm that predicts the future behavior of the authors. The ultimate goal of our research is to generate explicit recommendations for authors of online communities about which authors and which topics/threads to follow. Finally, these predictions/recommendations can be used as the basis for a more user-friendly forum interface.
Solving Hidden Number Problem with One Bit Oracle and Advice
Authors: Adi Akavia
Venue: Proceedings of the 29th Annual International Cryptology Conference on Advances in Cryptology (2009)

In the Hidden Number Problem (HNP), the goal is to find a hidden number s, when given p, g and access to an oracle that on query a returns the k most significant bits of $s\cdot g^a \bmod p$.We present an algorithm solving HNP, when given an advice depending only on p and g; the running time and advice length are polynomial in logp. This algorithm improves over prior HNP algorithms in achieving: (1) optimal number of bits k ¿ 1 (compared with k ¿ ¿(loglogp)); (2) robustness to random noise; and (3) handling a wide family of predicates on top of the most significant bit.As a central tool we present an algorithm that, given oracle access to a function f over ${\mathbb Z}_N$, outputs all the significant Fourier coefficients of f (i.e., those occupying, say, at least 1% of the energy). This algorithm improves over prior works in being: Local. Its running time is polynomial in logN and $L_1(\widehat f)$ (for $L_1(\widehat f)$ the sum of f's Fourier coefficients, in absolute value). Universal. For any N,t, the same oracle queries are asked for all functions f over ${\mathbb Z}_N$ s.t. $L_1(\widehat f)\le t$. Robust. The algorithm succeeds with high probability even if the oracle to f is corrupted by random noise. 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
Exploring the Application of New Data Standard for CNC Machining
Authors: Yusri Yusof
Venue: Proceedings of the Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 (2008)

This research work was motivated by industrial requirements of concurrent engineering, standard product data models and an integrated manufacturing environment, which are further reflected in process planning. The work can be elaborated as the information modeling in this area addresses the problem of capturing and representing manufacturing information related to resources and processes. The interaction between the different types of models could provide a description of the products, how they should be manufactured, and what manufacturing resources should be used. This would provide an information platform upon which several different computer-based tools to support the innovation process can be built. The major contribution of this paper is the creation of a computational environment for a STEP-NC compliant system for turning operations namely SCSTO. SCSTO was developed to generate a Part 21 file based on machining features to support the interactive generation of process plans utilizing feature extraction. The system was constructed using a structured methodology for its planning and object-oriented methods for its implementation. A case study component was tested to show that the new approach (STEP-NC) can generate code which is comparable to the currently used G-code with some benefits such as the elimination of the post-processor. Efforts are under way to fulfill the STEP-NC challenge by combining Parts 11 and 12, for turn/mill operations. STEP-NC forms a possible basis to satisfy the latest requirements and demands with respect to a bi-directional CAx process chain for machining. STEP-NC forms a possible basis to satisfy the latest requirements and demands with respect to a bi-directional CAx process chain for machining. It is expected that the recommended future extensions will enhance the usefulness of this paper, and will meet the requirements for global interoperable manufacturing for real-life parts.
A Japanese predicate argument structure analysis using decision lists
Authors: Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the target predicate using the features of the words located closest to the target predicate under various constraints such as dependency types, words, semantic categories, parts of speech, functional words and predicate voices. We constructed decision lists in which these features were sorted by their learned weights. Using our method, we integrated the tasks of semantic role labeling and zero-pronoun identification, and achieved a 17% improvement compared with a baseline method in a sentence level performance analysis.
Preimage Attacks on 3-Pass HAVAL and Step-Reduced MD5
Authors: Jean-Philippe Aumasson, Willi Meier, Florian Mendel
Venue: Selected Areas in Cryptography: 15th International Workshop, SAC 2008, Sackville, New Brunswick, Canada, August 14-15, Revised Selected Papers (2009)

This paper presents preimage attacks on the hash functions 3-pass HAVAL and step-reduced MD5. Introduced in 1992 and 1991 respectively, these functions underwent severe collision attacks, but no preimage attack. We describe two preimage attacks on the compression function of 3-pass HAVAL. The attacks have a complexity of about 2224 compression function evaluations instead of 2256. We present several preimage attacks on the MD5 compression function that invert up to 47 steps (out of 64) within 296 trials instead of 2128. Although our attacks are not practical, they show that the security margin of 3-pass HAVAL and step-reduced MD5 with respect to preimage attacks is not as high as expected.
Verification of Accuracy Improvement for CoMPACT Monitor Due to Suboptimal Inter-probe Time
Authors: Kohei Watabe, Yudai Honma, Masaki Aida
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

CoMPACT monitor gives the one-way delay distribution of a target flow by using a transformation of one-way delay data obtained by active measurement. The transformation can be determined from passively monitored traffic data for the target flow of the measurement. In a recent study, it was reported that by using an inter-probe time that has a Gamma distribution can improve the accuracy of simple active measurement. In this study, we show that CoMPACT monitor is improved in accuracy by the application of new active measurement.
A Usability Inspection of Medication Management in Three Personal Health Applications
Authors: Katie A. Siek, Danish Ullah Khan, Stephen E. Ross
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

We present the findings of a cognitive walkthrough inspection on three Personal Health Applications (PHAs). Two of the PHAs, Google Health and Microsoft HealthVault, are general purpose PHAs that are freely available to the general public. The last PHA, Colorado Care Tablet, is a prototype PHA that was designed specifically for older adults to manage their medication information. Older adults need a way to manage medications and share this information with their caregivers and healthcare providers to avoid complications during transitions of care. PHAs provide people with the ability to collect and share health information. However, given the problems older adults have with navigating applications and web pages, we needed to inspect currently available PHAs and identify problems older adults may have when using them for medication management before conducting user studies. Based on our findings, we encourage the design community to place more of an emphasis on interface consistency and tightly coupling information with links.