ppxscal/embedding_network huggingface dataset:
Selected RNS Bases for Modular Multiplication
Authors: J. C. Bajard, M. Kaihara, T. Plantard
Venue: Proceedings of the 2009 19th IEEE Symposium on Computer Arithmetic (2009)

The selection of the elements of the bases in an RNS modular multiplication method is crucial and has a great impact in the overall performance.This work proposes specific sets of optimal RNS moduli with elements of Hamming weight three whose inverses used in the MRS reconstruction have very small Hamming weight. This property is exploited in RNS bases conversions, to completely remove and replace the products by few additions/subtractions and shifts, reducing the time complexity of modular multiplication.These bases are specially crafted to computation with operands of sizes $256$ or more and are suitable for cryptographic applications such as the ECC protocols.
Questions of Function: Modelling the Emergence of Immune Response
Authors: Tom Hebbron, Jason Noble
Venue: Proceedings of the 8th International Conference on Artificial Immune Systems (2009)

The practice of borrowing designs from nature to solve problems is increasingly prevalent in our technology development. The reductionist paradigm that allowed technology to advance to its present state fails when faced with many richly interacting components: a hallmark of complex systems. The behaviour of such systems is not solely determined by the aggregate behaviour of its components, but by emergent effects. The divide-and-conquer strategy is insufficient as the whole is greater than the sum of the parts.
Rapid Prototyping of an AmI-Augmented Office Environment Demonstrator
Authors: Dimitris Grammenos, Yannis Georgalis, Nikolaos Partarakis, Xenophon Zabulis, Thomas Sarmis, Sokratis Kartakis, Panagiotis Tourlakis, Antonis Argyros, Constantine Stephanidis
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

This paper presents the process and tangible outcomes of a rapid prototyping activity towards the creation of a demonstrator, showcasing the potential use and effect of Ambient Intelligence technologies in a typical office environment. In this context, the hardware and software components used are described, as well as the interactive behavior of the demonstrator. Additionally, some conclusions stemming from the experience gained are presented, along with pointers for future research and development work.
Effective Combination of Haptic, Auditory and Visual Information Feedback in Operation Feeling
Authors: Keiko Kasamatsu, Tadahiro Minami, Kazuki Izumi, Hideo Jinguh
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

This research designed the means to offer the haptic feedback to the touch panel by producing the pen-shaped vibratory device. The task performance and the feeling of push touch using this device was experimented by the sensory evaluation. The psychological effects concerning the difference in the feeling of push touch and the acceptance of the device was evaluated by giving the haptic feedback compared with the visual and the auditory feedback. As a result, not only the haptic sense but also the effectiveness of two or more sensory integration was taken as an operation feeling. The goodness of the operation feeling was confirmed the improvement by a clear impression and comprehensible feedback. It is thought that the goodness of operativeness by the vibratory stimulation is connected with the sensibility such as the feeling of comfortable and security.
Motion study of the hip joint in extreme postures
Authors: Caecilia Charbonnier, Lazhari Assassi, Pascal Volino, Nadia Magnenat-Thalmann
Venue: The Visual Computer: International Journal of Computer Graphics (2009)

Many causes can be at the origin of hip osteoarthritis (e.g., cam/pincer impingements), but the exact pathogenesis for idiopathic osteoarthritis has not yet been clearly delineated. The aim of the present work is to analyze the consequences of repetitive extreme hip motion on the labrum cartilage. Our hypothesis is that extreme movements can induce excessive labral deformations and lead to early arthritis. To verify this hypothesis, an optical motion capture system is used to estimate the kinematics of patient-specific hip joint, while soft tissue artifacts are reduced with an effective correction method. Subsequently, a physical simulation system is used during motion to compute accurate labral deformations and to assess the global pressure of the labrum, as well as any local pressure excess that may be physiologically damageable. Results show that peak contact pressures occur at extreme hip flexion/abduction and that the pressure distribution corresponds with radiologically observed damage zones in the labrum.
Practical Electromagnetic Template Attack on HMAC
Authors: Pierre-Alain Fouque, Gaëtan Leurent, Denis Réal, Frédéric Valette
Venue: Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems (2009)

In this paper, we show a very efficient side channel attack against HMAC. Our attack assumes the presence of a side channel that reveals the Hamming distance of some registers. After a profiling phase in which the adversary has access to a device and can configure it, the attack recovers the secret key by monitoring a single execution of HMAC-SHA-1. The secret key can be recovered using a "template attack" with a computation of about 232 3 ¿ compression functions, where ¿ is the number of 32-bit words of the key. Finally, we show that our attack can also be used to break the secrecy of network protocols usually implemented on embedded devices.We have performed experiments using a NIOS processor executed on a Field Programmable Gate Array (FPGA) to confirm the leakage model. We hope that our results shed some light on the requirements in term of side channel attack for the future SHA-3 function.
CLURD: A New Character-Inputting System Using One 5-Way Key Module
Authors: Hyunjin Ji, Taeyong Kim
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

A character inputting system using one 5-way key module has been developed for use in mobile devices such as cell phones, MP3 players, navigation systems, and remote controllers. All Korean and English alphabet characters are assembled by two key clicks, and because the five keys are adjacent to each other and the user does not have to monitor his/her finger movements while typing, the speed of generating characters can be extremely high and its convenience is also remarkable.
Proceedings of the Third Workshop on Constraints and Language Processing
Venue: ACL Workshops (2006)

The CSLP workshops address the question of constraints and their use in language processing. This is a characteristically interdisciplinary topic, bringing together perspectives from linguistics, psychology and computer science.
Parsing, projecting & prototypes: repurposing linguistic data on the web
Authors: William D. Lewis, Fei Xia
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

Until very recently, most NLP tasks (e.g., parsing, tagging, etc.) have been confined to a very limited number of languages, the so-called majority languages. Now, as the field moves into the era of developing tools for Resource Poor Languages (RPLs)--a vast majority of the world's 7,000 languages are resource poor--the discipline is confronted not only with the algorithmic challenges of limited data, but also the sheer difficulty of locating data in the first place. In this demo, we present a resource which taps the large body of linguistically annotated data on the Web, data which can be repurposed for NLP tasks. Because the field of linguistics has as its mandate the study of human language--in fact, the study of all human languages--and has whole-heartedly embraced the Web as a means for disseminating linguistic knowledge, the consequence is that a large quantity of analyzed language data can be found on the Web. In many cases, the data is richly annotated and exists for many languages for which there would otherwise be very limited annotated data. The resource, the Online Database of INterlinear text (ODIN), makes this data available and provides additional annotation and structure, making the resource useful to the Computational Linguistic audience.
Allocating Human-System Interfaces Functions by Levels of Automation in an Advanced Control Room
Authors: Chiuhsiang Joe Lin, Chih-Wei Yang, Tzu-Chung Yenn, Lai-Yu Cheng
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

Human factors engineering (HFE) focuses on the design of human-system interfaces (HSIs). The HSIs, those NPPs parts that personnel interact with in performing their tasks, included control switches, red, green, amber, and white indictor lights, mimic displays, lighted annunciator panels, and hand-written status boards. The advanced technology has introduced the capability of integrating information from numerous plant systems and supplying needed information to operations personnel in a timely manner. Challenges of the well-integrated computerized control room include ensuring reduced staffing does not treat with increased task complexity, achieving a consistent user interface, ensuring increased automation does not adversely affect the operator's mental model of the plant, and systems actually support the operator. This study investigated the process of the HSI functions allocation by considering which functions should be automated and to what extent, which is also called the level of automation (LOA).
Design for the Reverse Logistics Network Based on the Reverse Logistics Center Location
Authors: Liu Cheng
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In consideration of economy of distance and economy of scale, the establishment of exclusive recycling center is the optimal choice for resource-efficient reverse logistics. Aiming at how to determine the location of reverse logistics centers and the recycled amount of scrap goods, the article has established a non-linear mixed-integer programming model with the minimum total cost as the objective function, and, based on the features of such a model, designed the appropriate solution algorithm. 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
Study on the Evaluating Models of Energy Consumption in Clinker Cooler Conveying
Authors: Yan Wen, Wenming Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

In Recent Decades, a multitude of new cement clinker cooler are appearing. Thus a suit of Evaluation System should be established. Focus on evaluation method of clinker cooler conveying ability, this paper designed a comparatively model for multifarious clinker cooler, and give a method of calculating the energy consumption in clinker cooler conveying. Furthermore, it defined the parameters of energy consumption in clinker conveying, and give the parameters of energy consumption compared with the model of clinker cooler. Compared with the model, the ratios used to evaluate the energy consumption level of different clinker cooler.
Positive externality, increasing returns, and the rise in cybercrimes
Authors: Nir Kshetri
Venue: Communications of the ACM (2009)

Introduction The meteoric rise in cybercrime has been an issue of pressing concern to our society. According to Federal Bureau of Investigation (FBI), nine out of 10 U.S. companies experienced computer security incidents in 2005 which led to a loss of $67.2 billion. A survey conducted by IBM found that U.S. businesses worry more about cybercrimes than about physical crimes. Internet-related frauds accounted for 46% of consumer complaints made to the Federal Trade Commission (FTC) in 2005. Total losses of Internet fraud victims reporting to FTC increased from $205 million in 2003 to $336 million in 2005. In a July 2007 interview with USA Today, McAfee CEO reported that his company received 3,000--5,000 threat submissions per day from customers and 10% of them were new. This paper offers an economic analysis to explain cybercrimes' escalation. We define cybercrimes as criminal activities in which computers or computer networks are the principal means of committing an offense. Examples include cyber-theft, cyber-trespass, cyber-obscenity, critical infrastructure attacks and cyber-extortions.6 The most notable features of the cybercrime environment include newness, technology and skill-intensiveness, and a high degree of globalization. Factors such as a wide online availability of hacking tools, information sharing in the cyber-criminal community, availability of experienced hackers' help to less skillful criminals and congestion in law enforcement systems produce externality effects within the cyber-criminal community as well as across society and businesses. We focus on three positive or self-reinforcing feedback systems to examine increasing returns in cybercrime related activities. In this article, we first provide an overview of the positive feedback loops that reinforce cyber-criminals' behavior. Then, we describe mechanisms associated with externality in cybercrime related activities.
Identification of distant family relationships
Authors: Öivind Skare, Nuala Sheehan, Thore Egeland
Venue: Bioinformatics (2009)

Motivation: Family relationships can be estimated from DNA marker data. Applications arise in a large number of areas including evolution and conservation research, genealogical research in human, plant and animal populations, forensic problems and genetic mapping via linkage and association analyses. Traditionally, likelihood-based approaches to relationship estimation have used unlinked genetic markers. Due to the fact that some relationships cannot be distinguished from data at unlinked markers, and given the limited number of such markers available, there are considerable constraints on the type of identification problem that can be satisfactorily addressed with such approaches. The aim of this article is to explore the potential of linked autosomal single nucleotide polymorphism markers in this context. Throughout, we will view the problem of relationship estimation as one of pedigree identification rather than identity-by-descent, and thus focus on applications where determination of the exact relationship is important. Results: We show that the increase in information obtained by exploiting large sets of linked markers substantially increases the number of problems that can be solved. Results are presented based on simulations as well as on real data. Availability: The R library FEST is freely available from http://folk.uio.no/thoree/FEST. Contact: thore.egeland@medisin.uio.no Supplementary information:Supplementary data are available at Bioinformatics online.
Frictional Contact Analysis of Turbocharger Compressor-Shaft Sleeve-Shaft
Authors: Ai-hua Liao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The impeller mounted onto the compressor shaft assembly via interference fit is one of the key components of a centrifugal compressor stage. The assembly creates a complicated frictional contact problem the interface of the mating parts when the rotational speed is high. So it is quite necessary to investigate the contact situation of compressor-shaft sleeve-shaft for running safely. The FE parametric quadratic programming (PQP) method developed based on the parametric variational principle (PVP) is used for the analysis of stress distribution of 3D frictional contact of impeller-shaft sleeve-shaft. The effects of coefficient of friction, the wall thickness of shaft sleeve, rotational speed and the contact stress distribution on the mating surfaces are discussed in the numerical computation. The numerical results can be referred to in deciding the proper fit tolerance and improving the design and manufacturing technology of compressor impellers.
Acquiring word-meaning mappings for natural language interfaces
Authors: Cynthia A. Thompson, Raymond J. Mooney
Venue: Journal of Artificial Intelligence Research (2003)

This paper focuses on a system, WOLFIE (WOrd Learning From Interpreted Examples), that acquires a semantic lexicon from a corpus of sentences paired with semantic representations. The lexicon learned consists of phrases paired with meaning representations. WOLFIE is part of an integrated system that learns to transform sentences into representations such as logical database queries. Experimental results are presented demonstrating WOLFIE's ability to learn useful lexicons for a database interface in four different natural languages. The usefulness of the lexicons learned by WOLFIE are compared to those acquired by a similar system, with results favorable to WOLFIE. A second set of experiments demonstrates WOLFIE's ability to scale to larger and more difficult, albeit artificially generated, corpora. In natural language acquisition, it is difficult to gather the annotated data needed for supervised learning; however, unannotated data is fairly plentiful. Active learning methods attempt to select for annotation and training only the most informative examples, and therefore are potentially very useful in natural language applications. However, most results to date for active learning have only considered standard classification tasks. To reduce annotation effort while maintaining accuracy, we apply active learning to semantic lexicons. We show that active learning can significantly reduce the number of annotated examples required to achieve a given level of performance.
Description logics for multi-issue bilateral negotiation with incomplete information
Authors: Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

We propose a framework for multi-issue bilateral negotiation, where issues are expressed and related to each other via Description Logics. Agents' goals are expressed through (complex) concepts, and the worth of goals as weights over concepts. We adopt a very general setting with incomplete information by letting agents keep both goals and worths of goals as private information. We introduce a negotiation protocol for such a setting, and discuss different possible strategies that agents can adopt during the negotiation process. We show that such a protocol converges, if the Description Logic used enjoys the finite implicants property.
Indexing the Function: An Efficient Algorithm for Multi-dimensional Search with Expensive Distance Functions
Authors: Hanxiong Chen, Jianquan Liu, Kazutaka Furuse, Jeffrey Xu Yu, Nobuo Ohbo
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Indexing structures based on space partitioning are powerless because of the well-known "curse of dimensionality". Linear scan of the data with approximation is more efficient in high dimensional similarity search. However, approaches so far concentrated on reducing I/O, ignored the computation cost. For an expensive distance function such as L p norm with fractional p, the computation cost becomes the bottleneck. We propose a new technique to address expensive distance functions by "indexing the function" by pre-computing some key values of the function once. Then, the values are used to develop the upper/lower bounds of the distance between each data and the query vector. The technique is extremely efficient since it avoids most of the distance function computations; moreover, it does not spend any extra storage because no index is constructed and stored. The efficiency is confirmed by cost analyses, as well as experiments on synthetic and real data.
A Novel Fuzzy Evolutionary Algorithm for Forecasting of International Trade in Dynamical Environment
Authors: Ling Lin, Mingguo Xia
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

We describe in this paper non-linear mathematical models that can be used to study the dynamics of international trade. Mathematical models of International Trade (IT), between three or more countries, can show very complicated dynamics in time (with the possible occurrence of chaotic behavior). The simulation of these models is critical in understanding the behavior of the relevant financial and economical variab1es.for the problem of IT. Also, performing the simulations for different parameter values of the models will enable the forecasting of future IT. The problem of forecasting of IT has been solved in this paper buy using evolutionary algorithm combining fuzzy logic techniques. The importance of forecasting of IT can be measured if we consider that one of the goa1s for a specific country is to find the optimum benefit from its international trade with other countries.
Galerkin based smoothed particle hydrodynamics
Authors: S. Wong, Y. Shie
Venue: Computers and Structures (2009)

In this paper, we propose a Galerkin based smoothed particle hydrodynamics (SPH) formulation with moving least-squares meshless approximation, applied to solid mechanics and large deformation. Our method is truly meshless and based on Lagrangian kernel formulation and stabilized nodal integration. The performance of the methodology proposed is tested through various simulations, demonstrating the attractive ability of particle methods to handle severe distortions and complex phenomena.
L2R: a logical method for reference reconciliation
Authors: Fatiha Saïs, Nathalie Pernelle, Marie-Christine Rousset
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

The reference reconciliation problem consists in deciding whether different identifiers refer to the same data, i.e., correspond to the same world entity. The L2R system exploits the semantics of a rich data model, which extends RDFS by a fragment of OWL-DL and SWRL rules. In L2R, the semantics of the schema is translated into a set of logical rules of reconciliation, which are then used to infer correct decisions both of reconciliation and no reconciliation. In contrast with other approaches, the L2R method has a precision of 100% by construction. First experiments show promising results for recall, and most importantly significant increases when rules are added.
Introducing Quasirandomness to Computer Science
Authors: Benjamin Doerr
Venue: Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday (2009)

The paradigm of quasirandomness led to dramatic progress in different areas of mathematics, with the invention of quasi-Monte Carlo methods in numerical integration probably being the best known example. In the last two decades, discrete mathematics heavily used quasirandom ideas, leading, e.g., to notions like quasirandom graphs.We feel that it is now time to exploit quasirandomness in computer science. As a first application, we propose and analyze a quasirandom analogue of the classical randomized rumor spreading protocol to disseminate information in networks.