ppxscal/embedding_network huggingface dataset:
Combining Text Vector Representations for Information Retrieval
Authors: Maya Carrillo, Chris Eliasmith, A. López-López
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

This paper suggests a novel representation for documents that is intended to improve precision. This representation is generated by combining two central techniques: Random Indexing; and Holographic Reduced Representations (HRRs). Random indexing uses co-occurrence information among words to generate semantic context vectors that are the sum of randomly generated term identity vectors. HRRs are used to encode textual structure which can directly capture relations between words (e.g., compound terms, subject-verb, and verb-object). By using the random vectors to capture semantic information, and then employing HRRs to capture structural relations extracted from the text, document vectors are generated by summing all such representations in a document. In this paper, we show that these representations can be successfully used in information retrieval, can effectively incorporate relations, and can reduce the dimensionality of the traditional vector space model (VSM). The results of our experiments show that, when a representation that uses random index vectors is combined with different contexts, such as document occurrence representation (DOR), term co-occurrence representation (TCOR) and HRRs, the VSM representation is outperformed when employed in information retrieval tasks.
Segmentation of Complex Images Based on Component-Trees: Methodological Tools
Authors: Benoît Caldairou, Benoît Naegel, Nicolas Passat
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

Component-trees can be used for the design of image processing methods, and in particular segmentation ones. However, despite their ability to consider various kinds of knowledge and their tractable computation, methodological deadlocks often forbid to efficiently involve them in real applications. In this article, we explore new solutions to some of these deadlocks, and more especially those related to (i) complexity of the structures of interest and (ii) multiple knowledge handling. The usefulness of the proposed strategies is illustrated by preliminary results related to vessel segmentation from 3-D angiographic data.
Study on Capital Reorganization Performance of China's Listed Company
Authors: Li-ping Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Compared with mature capital market of developed countries, China's security market is a typical emerging market, no matter the market scale, trade-off frequency or the quantity and operating capability of listed companies, all have a gap with those of mature capital market. In addition, the laws and regulation about China's security market are not perfect and the working personnel have many irrational behaviors, which are the obstacles to the sound capital reorganization of China's listed company. Therefore, the paper systemically generalized the development course and characteristics of capital reorganization of China's listed company, and in deep studied the operating methods improving the performance of capital reorganization, which are helpful to promote the further development of capital reorganization of China's listed company.
A Liver Segmentation Algorithm Based on Wavelets and Machine Learning
Authors: Suhuai Luo, Jesse S. Jin, Stephan K. Chalup, Guoyu Qian
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

This paper introduces an automatic liver parenchyma segmentation algorithm that can delineate liver in abdominal CT images. The proposed approach consists of three main steps. Firstly, a texture analysis is applied onto input abdominal CT images to extract pixel level features. Here, two main categories of features, namely Wavelet coefficients and Haralick texture descriptors are investigated. Secondly, support vector machines (SVM) are implemented to classify the data into pixel-wised liver or non-liver. Finally, specially combined morphological operations are designed as a post processor to remove noise and to delineate the liver. Our unique contributions to liver segmentation are twofold: one is that it has been proved through experiments that wavelet features present better classification than Haralick texture descriptors when SVMs are used; the other is that the combination of morphological operations with a pixel-wised SVM classifier can delineate volumetric liver accurately. The algorithm can be used in an advanced computer-aided liver disease diagnosis and surgical planning systems. Examples of applying the algorithm on real CT data are presented with performance validation based on the automatically segmented results and that of manually segmented ones.
Poster abstract: Measuring traffic in short-term construction work zones
Authors: Manohar Bathula, Mehrdad Ramezanali, Ishu Pradhan, Nilesh Patel, Joe Gotschall, Nigamanth Sridhar
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

We describe the design of sensornet systems to measure traffic in short-term work zones in urban areas.
Chitosan-Hydroxyapatite Composite Obtained by Biomimetic Method as New Bone Substitute
Authors: C. E. Tanase, M. I. Popa, L. Verestiuc
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

Chitosan-Hydroxyapatite (Cs-Hap) composites were prepared through a biomimetic method by Hap precipitation from its precursors, CaCl2 and NaH2PO4, on the chitosan fibres. Materials composition and structure have been analyzed by usual analytical techniques, Fourier transform infrared spectroscopy (FT-IR) and scanning electron microscopy (SEM). FT-IR and SEM data have shown the formation of Hap onto Cs fibers and Cs acting as glue, bonding the Hap crystals. The Cs-Hap composites porosity, from SEM data analysis, increases by increasing the content of Hap. The biodegradation of materials was tested in buffered lysozyme solution and the degraded polysaccharide was measured; the SEM data, before and after degradation, revealed that composites morphology had not appreciable changed.‘In vitro’ degradation studies indicate that these composite have slighter degradation rate which is coupled to the degree of N-deacetylation, hydrophilicity and crystallinity. Swelling properties measurements in simulated body fluids have shown that the swelling ratio of composites is decreased when the content of Hap is higher. The obtained results revealed that obtained Cs-Hap composites are promising materials as bone substitute due to their adequate swelling properties and controlled degradation rate.
Algorithms Meet Art, Puzzles, and Magic
Authors: Erik D. Demaine
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

Two years before WADS began, my father Martin Demaine and my six-year-old self designed and made puzzles as the Erik and Dad Puzzle Company, which distributed to toy stores across Canada. So began our journey into the interactions between algorithms and the arts. More and more, we find that our mathematical research and artistic projects converge, with the artistic side inspiring the mathematical side and vice versa. Mathematics itself is an art form, and through other media such as sculpture, puzzles, and magic, the beauty of mathematics can be brought to a wider audience. These artistic endeavors also provide us with deeper insights into the underlying mathematics, by providing physical realizations of objects under consideration, by pointing to interesting special cases and directions to explore, and by suggesting new problems to solve (such as the metapuzzle of how to solve a puzzle). This talk will give several examples in each category, from how our first font design led to a universality result in hinged dissections, to how studying curved creases in origami led to sculptures at MoMA. The audience will be expected to participate in some live magic demonstrations.
Green and Sustainable Cyber-Physical Security Solutions for Body Area Networks
Authors: K. K. Venkatasubramanian, A. Banerjee, S. K. S. Gupta
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

Wireless sensor-based Body Area Networks (BAN) can play a major role in providing individualized health-care. Given their limited power sources, sensors in BAN have to be energy-efficient to ensure longevity and safety of the network. Recent years have seen the emergence of a new class of security solutions for BANs, called cyber-physical security solutions, which enable plug-n-play secure communication within a BAN using environment derived features. However, due to this environment-coupled nature, they require signal processing and mathematical routines which can be potentially very energy-intensive for individual sensors. In this paper, we characterize the "energy footprint" of a cyber-physical security solution, the Physiological signal based Key Agreement (PKA). The goal is to - 1) compute PKA's energy consumption, and 2) determine whether prominent energy scavenging techniques can be used to meet its requirements. Our results show that the energy requirements of PKA is small and is sustainable by many of the prominent energy scavenging techniques, such as body heat and ambulation, making it a "green" solution for large scale deployments.
Securing Web Servers Using Self Cleansing Intrusion Tolerance (SCIT)
Authors: Anantha K. Bangalore, Arun K. Sood
Venue: Proceedings of the 2009 Second International Conference on Dependability (2009)

The number of malware attacks is increasing, Companies have invested millions of dollars in intrusion detection and intrusion prevention (ID/IP) technologies and products, yet many web servers are hacked every year. The current reactive methods of security have proven to be inadequate because the “bad guys” are always one step ahead of the Intrusion Detection/Intrusion Prevention community. Our research seeks to prove the feasibility of a completely new and innovative theory of server security called “Self-Cleansing Intrusion Tolerance” (SCIT). SCIT shifts the focus from detection and prevention to containing losses. SCIT uses virtualization technology in a new and unique way to make it more difficult for attackers to do damage/acquire data by reducing a server’s exposure time from several months to less than a minute. In this way we increase the dependability of the server and provide a new way to balance the trade-off between security and availability. We have applied SCIT to multiple types of servers (DNS, SSO and Web), in this paper we will focus on securing web servers using SCIT. Based on the results ofload testing of a web application for various load scenarios under both scit and non-scit environments, we will clearly show that SCIT provides a high degree of security with little degradation in overall response time of the application.
The Sequence Alignment/Map format and SAMtools
Authors: Heng Li, Bob Handsaker, Alec Wysoker, Tim Fennell, Jue Ruan, Nils Homer, Gabor Marth, Goncalo Abecasis, Richard Durbin
Venue: Bioinformatics (2009)

Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
PRISM: a language for symbolic-statistical modeling
Authors: Taisuke Sato, Yoshitaka Kameya
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

We present an overview of symbolic-statistical modeling language PRISM whose programs are not only a probabilistic extension of logic programs but also able to learn from examples with the help of the EM learning algorithm. As a knowledge representation language appropriate for probabilistic reasoning, it can describe various types of symbolic-statistical modeling formalism known but unrelated so far in a single framework. We show by examples, together with learning results, that most popular probabilistic modeling formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs.
Vision-Based Control of Robot Motion
Authors: Seth Hutchinson
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

Visual servo control is now a mature method for controlling robots using real-time vision feedback. It can be considered as the fusion of computer vision, robotics and control, and it has been a distinct field since the 1990's, though the earliest work dates back to the 1980's. Over this period several major, and well understood, approaches have evolved and have been demonstrated in many laboratories around the world.Many visual servo schemes can be classified as either position-based or image-based, depending on whether camera pose or image features are used in the control law. This lecture will review both position-based and image-based methods for visual servo control, presenting the basic derivations and concepts, and describing a few of the performance problems faced by each. Following this, a few recent and more advanced methods will be described. These approaches essentially partition the control system either along spatial or temporal dimensions. The former are commonly referred to as hybrid or partitioned control systems, while the latter are typically referred to as switched systems. 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
Detecting the Spur Marks of Ink-Jet Printed Documents Using a Multiband Scanner in NIR Mode and Image Restoration
Authors: Takeshi Furukawa
Venue: Proceedings of the 3rd International Workshop on Computational Forensics (2009)

Ink-jet printers are frequently used in crime such as counterfeiting bank notes, driving licenses, and identification cards. Police investigators required us to identify makers or brands of ink-jet printers from counterfeits. In such demands, classifying ink-jet printers according to spur marks which were made by spur gears located in front of print heads for paper feed has been addressed by document examiners. However, spur marks are significantly faint so that it is difficult to detect them. In this study, we propose the new method for detecting spur marks using a multiband scanner in near infrared (NIR) mode and estimations of point spread function (PSF). As estimating PSF we used cepstrum which is inverse Fourier transform of logarithm spectrum. The proposed method provided the clear image of the spur marks. 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
Modeling and Solution for Traffic Network Signal Optimization
Authors: Yinfei Li
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

This paper discusses the optimal traffic control signal setting for a rectangular road traffic network with left turn forbidden. By introducing the concepts of synchronization rate and non-synchronization degree, a mathematical model is constructed and an optimization problem is posed. Then, a new iterative algorithm is developed to solve this optimal traffic control signal setting problem. Convergence properties for this iterativealgorithm are established. 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
Turn Management or Impression Management?
Authors: Mark Maat, Dirk Heylen
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

We look at how some basic choices in the management of turns influence the impression that people get from an agent. We look at scales concerning personality, emotion and interpersonal stance. We do this by a person perception study, or rather an agent perception study, using simulated conversations that systematically vary basic turn-taking strategies. We show how we can create different impressions of friendliness, rudeness, arousal and several other dimensions by varying the timing of the start of a turn with respect to the ending of the interlocutor's turn and by varying the strategy of ending or not ending a turn when overlap is detected.
Blueprints for self-assembly
Authors: Gary Anthes
Venue: Communications of the ACM (2009)

Researchers are using tools from information theory and computer science to facilitate the automatic creation of nanoscale structures.
Design and Performance Evaluation of a Resource Allocation System Based on Agreement Services
Authors: Michel Hurfin, Jean-Pierre Le Narzul
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Whatever the circumstances, a complete transparency and a quick response time are expected by the users of a Grid even when failures occur. To fulfill these two requirements, adaptive control mechanisms have to be proposed, on one hand to cope efficiently with the dynamic changes of the computing capacity of the Grid (even if these changes are unpredictable) and, on the other hand to distribute the tasks among the resources in an efficient way (dynamic load balancing). In a hierarchical Grid, both issues can be addressed using a common set of agreement services built on top of a consensus building block. The major aim of this paper is to investigate the benefits and the limits of this approach through some performance evaluations.
The commodification of location: dynamics of power in location-based systems
Authors: Irina Shklovski, Janet Vertesi, Emily Troshynski, Paul Dourish
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

Location-based ubiquitous computing systems are entering mainstream society and becoming familiar parts of everyday life. However, the settings in which they are deployed are already suffused with complex social dynamics. We report on a study of parole officers and parolees whose relationships are being transformed by location-based technologies. While parolees are clearly subjects of state discipline, the parole officers also find themselves subject to new responsibilities. This study highlights the complexities of power in sociotechnical systems and what happens when location becomes a tradable, technological object.
Distribution of Human-Machine Interfaces in System-of-Systems Engineering
Authors: Sandro Leuchter, Dirk Mühlenberg
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

System-of-systems integration requires sharing of data, algorithms, user authorization/authentication, and user interfaces between independent systems. While SOA promises to solve the first issues the latter is still open. Within an experimental prototype for a distributed information system we have tested different methods to share not only the algorithmics and data of services but also their user interface. The experimental prototype consists of nodes providing services within process portals and nodes realizing services with software agents. Some of the services were extended with WSRP (web service remote portlet) to provide their own user interface components that can be transmitted between separated containers and application servers. Interoperability tests were conducted on JBoss and BEA Portal Workshop. Open questions remain on how the layout of one component should influence the internal layout of other GUI-components displayed concurrently. Former work on user interface management systems could improve todays tools in that respect.
A single-machine scheduling problem with learning effects in intermittent batch production
Authors: Dar-Li Yang, Wen-Hung Kuo
Venue: Computers and Industrial Engineering (2009)

This paper studies a single-machine scheduling problem with three models of learning and forgetting effects in intermittent batch production. They are the models of no transmission, partial transmission and total transmission of learning from batch to batch. The phenomena exist in many realistic production systems. The objective is to minimize the makespan. We show that the problems with the models of no transmission and partial transmission of learning from batch to batch are polynomially solvable. We also provide two polynomial time algorithms for two special cases in the problem with the total transmission model.
An Enhanced CSN Anchored Mobility Management Based on IPv6
Authors: Hua Guo, Lingjiao Wang, Bin Duan, Zhetao Li, Chuan Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In WiMAX network, the Connectivity ServiceNetwork Anchored Mobility Management (CSNAMM) is theimportant portion of the MS mobility management. However,some problems exist in the current specifications for the hostmobility management on IPv6. Some proper measures areproposed for solving the problems in this paper. The mechanismtriggering the client mobile IP procedure in WiMAX network isinconsistent with that described in the mobile IPv6 specification.It is solved by updating the order of the message and thecorresponding implementing method. By adding some newmessages, the result status affirmance of binding update can beverified. The data integrity problem during Connectivity ServiceNetwork (CSN) handoff is solved by creating the new data pathbetween the serving gateway and the target gateway before thehandoff and then deleting the data path at proper time afterhandover. In the solutions, it is unnecessary to append the newentity, network element and module. And the proposed messagesequence chart accords with the specifications of the WiMAXand the MIPv6.
An Improved LSSVM Regression Algorithm
Authors: Likun Hou, Qingxin Yang, Jinlong An
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Support Vector Machine (SVM) is a new and valid machine-learning algorithm developed on statistical learning theory, and it has been used for classification, function regression, and time series prediction. Recently an extension of traditional SVM named LSSVM has been introduced. Compared with the Support Vector Machine, the Least Squares Support Vector Machine (LSSVM) lose the sparseness, which would influence the efficiency of relearning. To conclude a sparse solution, in this paper we present an improved algorithm for Least Squares Support Vector Machine-XS-LSSVM, and prove its effect by an simulationexperiment.
Rich cross-platform desktop applications using open-source Titanium
Authors: Mark Obcena
Venue: Linux Journal (2009)

Web developer, meet the desktop. 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