ppxscal/embedding_network huggingface dataset:
The Research of Adaptive Network Congestion Control Algorithm Based on AQM
Authors: Liu Pingping, Zhou Lianying
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Congestion control has been emphasis of network research. The researchers proposed some algorithm of congestion control in order to continuously reduce the packet dropping possibility, and improve the link utilization ratio. First the paper directed the user by comparing some typical AQM control algorithms, enabled them optimize the network transport performance using more reasonable control algorithm in different network environment. Finally the paper proposed a new congestion control algorithm,which by predicting the instantaneous queue length of next time to decide congestion. It can find the congestion at the earliest time and make the best of network resource. The simulation result shows the proposal can detect the congestion in time in the changing network condition, and make the output smooth.
The many faces of sociability and social play in games
Authors: Jaakko Stenros, Janne Paavilainen, Frans Mäyrä
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

In the past, social interaction has been discussed mostly in the context of multiplayer games, ignoring the implicit forms of sociability in single player games. This paper distinguishes between the sociability around the playing of a game and the social play mediated by the game, and looks at single player, two player, multiplayer and massively multiplayer games as arenas for social interaction. The paper does not view social interaction as a new feature or a genre, but as a group of different, yet related, phenomena.
Using an Agent-Supported Simulation Environment for Intelligent Manufacturing Systems
Authors: Nancy Ruiz, Adriana Giret, Vicente Botti
Venue: Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2009)

The manufacturing field is an area where the application of simulation is an essential tool for validating methods and architectures before applying them on the factory floor. Multiagent System technology has demonstrated its utility in manufacturing system modeling and implementation. Agenthood features such as proactivity, reactivity, and sociability may also be useful for associating them with the specific simulation needs of the new manufacturing requirements. In this paper, we present an Agent-supported Simulation Tool (tool uses both events and discrete time to control agent tasks) for Intelligent Manufacturing Systems applied to a real manufacturing enterprise case study. The main goal is to provide a flexible simulation tool that can be adapted to solve the new manufacturing requirements that appear in a real environment allowing the experts of manufacturing domains to optimize the resource usage and to have enough data to make decisions.
Modulation Strategy Research for Dual Bridge Matrix Converter on DSP
Authors: Zhiyong Li, Hao Cai, Xiaoying Li, Xiangdong Kong
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

A novel over modulation methodology for dual bridge matrix converter (MC) is first put forward in this paper. Based on amplitude control of the rectifier side and inverter side, an over modulation methodology is presented. First the rectifier side is separated into six intervals to get the maximum DC voltage, and then a novel over modulation strategy is invented for the inverter side, which can manage the magnitude modulation index from 0.955 to 1.05. The new methodology shows a very good linearity and is simple to apply. Theoretical analysis and experimental results show that the over modulation methodology proposed here is feasible and liable.
A Grid Implementation of Direct Quantum Calculations of Rate Coefficients
Authors: Alessandro Costantini, Noelia Faginas Lago, Antonio Laganà, Fermín Huarte-Larrañaga
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

A detailed description of the grid implementation on the production computing grid of EGEE of FLUSS and MCTDH quantum codes performing a calculation of atom-diatom reaction rate coefficients is given. An application to the N + N2 reaction for which a massive computational campaign has been performed is reported.
Bridging the inflection morphology gap for Arabic statistical machine translation
Authors: Andreas Zollmann, Ashish Venugopal, Stephan Vogel
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

Statistical machine translation (SMT) is based on the ability to effectively learn word and phrase relationships from parallel corpora, a process which is considerably more difficult when the extent of morphological expression differs significantly across the source and target languages. We present techniques that select appropriate word segmentations in the morphologically rich source language based on contextual relationships in the target language. Our results take advantage of existing word level morphological analysis components to improve translation quality above state-of-the-art on a limited-data Arabic to English speech translation task.
A Study of Information Retrieval of En Route Display of Fire Information on PDA
Authors: Weina Qu, Xianghong Sun, Thomas Plocher, Li Wang
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

This study was concentrated on which way is the most convenient for firefighter to get information, comparing among audio display, text display, and combined multi-modal display. Can fire commanders effectively obtain key fire information while they are en route to the fire, especially when they sitting in a moving and bumpy car? The task includes free-browse, free-recall and searching information. The result showed that: (1) Audio only always made firefighter taking the longest time to browse and search, but the introduction of audio display made the two combined displays more quickly to access information, and more easy to remember. (2) Searching in a moving environment took a little longer than searching in lab. (3) Comparing in the lab and in moving car, it was found that searching in a moving environment took a little longer than in lab. (4) It was proved that text display was still a necessary and indispensable way to display information.
Almost Triggerless Writeset Extraction in Multiversioned Databases
Authors: Raúl Salinas-Monteagudo, Francesc D. Munoz-Escoi
Venue: Proceedings of the 2009 Second International Conference on Dependability (2009)

Efficient writeset extraction and application is crucial in modern database replication protocols since they execute all transaction operations in a delegate replica, collecting and propagating the updates to all replicas when transactions request commitment. In order to ensure portability, such replication protocols can be implemented in a middleware and some of such middleware systems use triggers for managing writeset collection. MADIS is an example of such systems. It has been developed assuming PostgreSQL as its underlying DBMS. Thus, its protocols are usually oriented to enforce snapshot isolation and rely on multiversioned concurrency control. PostgreSQL provides in its catalog information regarding its multiversioned control and such information can be used by the replication middleware for improving its writeset collection and application performance, without requiring any knowledge about DBMS's internals nor compromising the independence between the middleware and the DBMS layer. This paper describes an almost triggerless fully-user-space approach for writeset extraction in the MADIS middleware database replication system, comparing its performance with a minimal implementation based on triggers.
Use Cases Functionality of the OASIS HCI
Authors: Maria Panou, Evangelos Bekiaris, Maria Fernanda Cabrera-Umpierrez, Viveca Jiménez Mixco, Maria Teresa Arredondo
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

Within OASIS, a set of detailed Use Cases have been developed, after capturing the specific needs of elderly users on the use and acquisition of services for the support of their every day life. These use cases offer direct input to the design and development of the user interaction elements in terms of key characteristics, such as self-adaptivity and personalisation parameters that abide to the devices capabilities and environmental restrictions and satisfy the user personal needs and wants.
Tour Route Planning Based on Ant Colony System
Authors: Yipeng Zhou, Junping Du, Feng Xu, Yang Yang, Xuyan Tu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In this paper, a random meeting algorithm is introduced into ant colony system. This algorithm can improve the quality of the ant’s tour and can be used to make tour route planning. The improved calculating method of distance can balance the load in scenic spots and has the capability of dynamic route planning. The experimental results show that the proposed algorithm is effective and practical.
When is an embedded MT system "good enough" for filtering?
Authors: Clare R. Voss, Carol Van Ess-Dykema
Venue: ANLP-NAACL 2000 Workshop: Embedded Machine Translation Systems (2000)

This paper proposes an end-to-end process analysis template with replicable measures to evaluate the filtering performance of a Scan-OCR-MT system. Preliminary results across three language-specific FALCon systems show that, with one exception, the derived measures consistently yield the same performance ranking: Haitian Creole at the low end, Arabic in the middle, and Spanish at the high end.
Semantic Extension of Agent-Based Control: The Packing Cell Case Study
Authors: Pavel Vrba, Miloslav Radakovič, Marek Obitko, Vladimír Mařík
Venue: Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2009)

The paper reports on the latest R D activities in the field of agent-based manufacturing control systems. It is documented that this area becomes strongly influenced by the advancements of semantic technologies like the Web Ontology Language. The application of ontologies provides the agents with much more effective means for handling, exchanging and reasoning about the knowledge. The ontology dedicated for semantic description of orders, production processes and material handling tasks in discrete manufacturing domain has been developed. In addition, the framework for integration of this ontology in distributed, agent-based control solutions is given. The Manufacturing Agent Simulation Tool (MAST) is used as a base for pilot implementation of the ontology-powered multiagent control system; the packing cell environment is selected as a case study.
The Impact of Different Visual Feedback Presentation Methods in a Wearable Computing Scenario
Authors: Hendrik Iben, Hendrik Witt, Ernesto Morales Kluge
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Interfaces for wearable computing applications have to be tailored to task and usability demands. Critical information has to be presented in a way allowing for fast absorption by the user while not distraction from the primary task. In this work we evaluated the impact of different information presentation methods on the performance of users in a wearable computing scenario. The presented information was critical to fulfill the given task and was displayed on two different types of head mounted displays (HMD). Further the representations were divided into two groups. The first group consisted of qualitative representations while the second group focused on quantitative information. Only a weak significance could be determined for effect the different methods used have on the performance but there is evidence that familiarity has an effect. A significant effect was found for the type of HMD.
Visibility: a novel concept for characterising provable network digital evidences
Authors: Slim Rekhis, Noureddine A. Boudriga
Venue: International Journal of Security and Networks (2009)

Providing a formal method of digital investigation happened to be of utmost importance, as it allows to: demonstrate the absence of design weaknesses in the used technique; analyse the security incident with an accurate manner; provide non refutable proofs regarding the obtained results. We provide in this work a new formal concept, entitled Visibility, and we develop its relation with network digital investigation, particularly the investigation of source address spoofing attacks. To demonstrate the effectiveness of our visibility-based theory, we use it in conjunction with an efficient traceback technique to prove IP spoofing attacks occurrence and identify their source.
Improving a simple bigram HMM part-of-speech tagger by latent annotation and self-training
Authors: Zhongqiang Huang, Vladimir Eidelman, Mary Harper
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

In this paper, we describe and evaluate a bigram part-of-speech (POS) tagger that uses latent annotations and then investigate using additional genre-matched unlabeled data for self-training the tagger. The use of latent annotations substantially improves the performance of a baseline HMM bigram tagger, outperforming a trigram HMM tagger with sophisticated smoothing. The performance of the latent tagger is further enhanced by self-training with a large set of unlabeled data, even in situations where standard bigram or trigram taggers do not benefit from self-training when trained on greater amounts of labeled training data. Our best model obtains a state-of-the-art Chinese tagging accuracy of 94.78% when evaluated on a representative test set of the Penn Chinese Treebank 6.0.
Some remarks on the flux-free finite element method for immiscible two-fluid flows
Authors: Katsushi Ohmori, Norikazu Saito
Venue: Journal of Computational and Applied Mathematics (2009)

We give some theoretical considerations on the the flux-free finite element method for the generalized Stokes interface problem arising from the immiscible two-fluid flow problems. In the flux-free finite element method, the flux constraint is posed as another Lagrange multiplier to keep the zero-flux on the interface. As a result, the mass of each fluid is expected to be preserved at every time step. We first study the effect of discontinuous coefficients (viscosity and density) on the error of the standard finite element approximations very carefully. Then, the analysis is extended to the flux-free finite element method.
ASP.NET Programmer's Reference
Authors: Bryan Sampica, Javier Lozano, D'Arcy Lussier
Venue:  (2009)

ASP.NET is Microsofts Web development technology whose applications can be written in C# or VB.NET as well as a variety of dynamic languages such as Ruby and Python. This soup-to-nuts reference takes a procedural approach to understanding the controls, classes, properties, and methods of ASP.NET 3.5, and explores the differences between .NET 2.0 and .NET 3.5. Youll review planning page design, using master and content pages, working with Ajax, integrating LINQ, building ASP.NET applications with a programmatic approach, working with the MVC Framework, and more.
Incremental parsing with reference interaction
Authors: Scott C. Stoness, Joel Tetreault, James Allen
Venue: Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (2004)

We present a general architecture for incremental interaction between modules in a speech-to-intention continuous understanding dialogue system. This architecture is then instantiated in the form of an incremental parser which receives suitability feedback on NP constituents from a reference resolution module. Oracle results indicate that perfect NP suitability judgments can provide a labelled-bracket error reduction of as much as 42% and an efficiency improvement of 30%. Preliminary experiments in which the parser incorporates feedback judgments based on the set of referents found in the discourse context achieve a maximum error reduction of 9.3% and efficiency gain of 4.6%. The parser is also able to incrementally instantiate the semantics of underspecified pronouns based on matches from the discourse context. These results suggest that the architecture holds promise as a platform for incremental parsing supporting continuous understanding.
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Authors: Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin Wang, Larry Korba, Hongyu Liu, Yunli Wang
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly deal with well-structured and -symbolized event logs. In most real applications where workflow management software tools are not installed, these structured and symbolized logs are not available. Instead, the artifacts of daily computer operations may be readily available. In this paper, we propose a method to map these artifacts and content-based logs to structured logs so as to bridge the gap between the unstructured logs of real life situations and the status quo of workflow mining techniques. Our method consists of two tasks: discovering workflow instances and activity types. We use a clustering method to tackle the first task and a classification method to tackle the second. We propose a method to combine these two tasks to improve the performance of two as a whole. Experimental results on simulated data show the effectiveness of our method.
Research on Helmet Customization System Based on Web
Authors: Lixin, Cai Jinjin, Hu Minying, Xie Yunfang, Zhangsu, Zhou Yuhong
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

This paper puts forward the significance of the customization system for sales and purchases through analyzing the status and features of helmets. It also discusses the structure and implementation route of the customization system for the helmets. Then it studies and analyzes two key technologies of the system. One is the virtual display technology. Firstly, we use the three dimensional software to model, then use Cult3D to establish the interactive event to realize the virtual display of the network products. The other is network database technology, which is constructed by Asp and Access, to realize the search and customization of helmets. At last, the customization prototype system of the helmets is developed.
On balanced CSPs with high treewidth
Authors: Carlos Ansótegui, Ramón Béjar, César Fernàndez, Carles Mateu
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Tractable cases of the binary CSP are mainly divided in two classes: constraint language restrictions and constraint graph restrictions. To better understand and identify the hardest binary CSPs, in this work we propose methods to increase their hardness by increasing the balance of both the constraint language and the constraint graph. The balance of a constraint is increased by maximizing the number of domain elements with the same number of occurrences. The balance of the graph is defined using the classical definition from graph theory. In this sense we present two graph models; a first graph model that increases the balance of a graph maximizing the number of vertices with the same degree, and a second one that additionally increases the girth of the graph, because a high girth implies a high treewidth, an important parameter for binary CSPs hardness. Our results show that our more balanced graph models and constraints result in harder instances when compared to typicaI random binary CSP instances, by several orders of magnitude. Also we detect, at least for sparse constraint graphs, a higher treewidth for our graph models.
Estimation of Inkjet Printer Spur Gear Teeth Number from Pitch Data String of Limited Length
Authors: Yoshinori Akao, Atsushi Yamamoto, Yoshiyasu Higashikawa
Venue: Proceedings of the 3rd International Workshop on Computational Forensics (2009)

In this paper, we investigate the feasibility of estimating the number of inkjet printer spur gear teeth from pitch data strings of limited length by maximum entropy spectral analysis. The purpose of this study is to improve the efficiency of inkjet printer model identification based on spur mark comparison in the field of forensic document analysis. Experiments were performed using two spur gears in different color inkjet printer models, and eight different lengths of pitch data strings--ranging from three to 10 times the number of spur gear teeth. The result for a data string longer than five times the number of teeth showed a proper estimation within a deviation of one tooth. However, the estimation failed for shorter data strings because the order in maximum entropy analysis was determined inappropriately. The presented results provide information on the number of spur gear teeth from shorter data strings than in a previous study.
MEMS Energy Harvesting Powered Wireless Biometric Sensor
Authors: C. He, A. Arora, M. E. Kiziroglou, D. C. Yates, D. O'Hare, E. M. Yeatman
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

One of the main challenges in developing wireless biometric sensors is the requirement for integration of various systems into a very compact device. Such systems include sensing units, conditioning electronics, transmitters and power supplies. In this work, a novel system integration architecture is presented. A unique feature of this new architecture is that the sub-systems are selected and designed for direct output-to-input connection. An array of active pH sensors is used to transform a pH level to an electrical potential in the range of 0 - 2 Volts. This signal is amplified by an electrostatic energy harvester suitable for human motion operation. The amplified signal drives a custom LC transmitter specially designed to suit the harvester output. A system of notable simplicity is achieved and may serve as a demonstrator for other wireless sensors.
Near-duplicate detection for web-forums
Authors: Klemens Muthmann, Wojciech M. Barczyński, Falk Brauer, Alexander Löser
Venue: Proceedings of the 2009 International Database Engineering & Applications Symposium (2009)

Current forum search technologies lack the ability to identify threads with near-duplicate content and to group these threads in the search results. As a result, forum users are overloaded with duplicated search results and prefer to create new threads without trying to find existing ones. In this paper we therefore identify common reasons leading to near-duplicates and develop a new near-duplicate detection algorithm for forum threads. The algorithm is implemented using a large case study of a real-world forum serving more than one million users. We compare this work with current algorithms, similar to [4, 5], for detecting near-duplicates on machine generated web pages. Our preliminary results show, that we significantly outperform these algorithms and that we are able to group forum threads with a precision of 74%.