ppxscal/embedding_network huggingface dataset:
Dynamic web service orchestration applied to the device profile for web services in hierarchical networks
Authors: Constantin Timm, Jens Schmutzler, Peter Marwedel, Christian Wietfeld
Venue: Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE (2009)

Based on the idea of Service Oriented Architectures (SOA), Web Services paved the way for open and flexible interaction between heterogeneous systems with a loose coupling between service endpoints. The Device Profile for Web Services (DPWS) implements a subset of WS-* specifications in order to make the advantages of the Web Service architecture available to a growing embedded systems market. In this paper we are proposing a service orchestration mechanism applied to services on top of a DPWS-based middleware. The approach is complementary to the rather complex and resource intensive Web Service Business Process Execution Language (WS-BPEL) and focuses on service orchestration on resource constrained devices deployed in hierarchical network topologies. We validate our service orchestration concept through its resource consumption and illustrate its seamless integration into the service development cycle based on the underlying DPWS-compliant middleware.
Loopy Substructural Local Search for the Bayesian Optimization Algorithm
Authors: Claudio F. Lima, Martin Pelikan, Fernando G. Lobo, David E. Goldberg
Venue: Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2009)

This paper presents a local search method for the Bayesian optimization algorithm (BOA) based on the concepts of substructural neighborhoods and loopy belief propagation. The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the topology of the neighborhoods explored in local search. On the other hand, belief propagation in graphical models is employed to find the most suitable configuration of conflicting substructures. The results show that performing loopy substructural local search (SLS) in BOA can dramatically reduce the number of generations necessary to converge to optimal solutions and thus provides substantial speedups.
KU: word sense disambiguation by substitution
Authors: Deniz Yuret
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

Data sparsity is one of the main factors that make word sense disambiguation (WSD) difficult. To overcome this problem we need to find effective ways to use resources other than sense labeled data. In this paper I describe a WSD system that uses a statistical language model based on a large unannotated corpus. The model is used to evaluate the likelihood of various substitutes for a word in a given context. These likelihoods are then used to determine the best sense for the word in novel contexts. The resulting system participated in three tasks in the SemEval 2007 workshop. The WSD of prepositions task proved to be challenging for the system, possibly illustrating some of its limitations: e.g. not all words have good substitutes. The system achieved promising results for the English lexical sample and English lexical substitution tasks.
Older Drivers and New In-Vehicle Technologies: Adaptation and Long-Term Effects
Authors: Anabela Simões, Marta Pereira
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

The introduction of new technologies into vehicles has been imposing new forms of interaction, being a challenge to drivers but also to HMI research. The multiplicity of on-board systems in the market has been changing the driving task, being the consequences of such interaction a concern especially to older drivers. Several studies have been conducted to report the natural functional declines of older drivers and the way they cope with additional sources of information and additional tasks in specific moments. However, the evolution of these equipments, their frequent presence in the automotive market and also the increased acceptability and familiarization of older drivers with such technologies, compel researchers to consider other aspects of these interactions: from adaptation to the long term effects of using any in-vehicle technologies.
A Novel Method for Manifold Construction
Authors: Wei-Chen Cheng, Cheng-Yuan Liou
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

This paper presents a distance invariance method to construct the low dimension manifold that preserves the neighborhood topological relations among data patterns. This manifold can display close relationships among patterns.
Visualizing simulation and testbed of wireless sensor networks with NetTopo
Authors: Lei Shu, Manfred Hauswirth, Lei Wang, Zhuxiu Yuan, Yuanfang Chen
Venue: Proceedings of the 4th ACM international workshop on Experimental evaluation and characterization (2009)

In this paper, we present an integrated framework called NetTopo for providing both simulation and visualization functions to assist the investigation of algorithms in WSNs. NetTopo provides a common virtual WSN for the purpose of interaction between sensor devices and simulated virtual nodes. Two case studies are described to prove the effectiveness of NetTopo.
Learning Heuristics for the Superblock Instruction Scheduling Problem
Authors: Tyrel Russell, Abid M. Malik, Michael Chase, Peter van Beek
Venue: IEEE Transactions on Knowledge and Data Engineering (2009)

Modern processors have multiple pipelined functional units and can issue more than one instruction per clock cycle. This places a burden on the compiler to schedule the instructions to take maximum advantage of the underlying hardware. Superblocks—a straight-line sequence of code with a single entry point and multiple possible exit points—are a commonly used scheduling region within compilers. Superblock scheduling is NP-complete, and is done suboptimally in production compilers using a greedy algorithm coupled with a heuristic. The heuristic is usually handcrafted, a potentially time-consuming process. In this paper, we show that supervised machine learning techniques can be used to semiautomate the construction of heuristics for superblock scheduling. In our approach, labeled training data were produced using an optimal superblock scheduler. A decision tree learning algorithm was then used to induce a heuristic from the training data. The automatically constructed decision tree heuristic was compared against the best previously proposed, handcrafted heuristics for superblock scheduling on the SPEC 2000 and MediaBench benchmark suites. On these benchmark suites, the decision tree heuristic reduced the number of superblocks that were not optimally scheduled by up to 38 percent, and led to improved performance on some architectural models and competitive performance on others.
Analysis of Authentic Signatures and Forgeries
Authors: Katrin Franke
Venue: Proceedings of the 3rd International Workshop on Computational Forensics (2009)

The paper presents empirical studies of kinematic and kinetic signature characteristics. In contrast to previous studies a more in-depth analysis is performed which reveals insides on differences and similarities of authentic and mimicked signing movements. It is shown that the signing behavior of genuine writers and impostors is only likely to differ in terms of local characteristics. Global characteristics can easily be imitated by skilled forgers. Moreover, it is shown that authentic writing characteristics cover a broad value range that might interfere with value ranges of unsophisticated forgeries. In our experiments signing behavior of 55 authentic writers and of 32 writers mimicking signature samples with three different levels of graphical complexity is studied. We discuss implications for ink-trace characteristics on paper and provide recommendations for implementing computer-based analysis methods.
Analysis of Flow Field in Vertical Roller Mill Chamber Based on Turbulent Models
Authors: Yewang Sun, Xiangbo Ze, Xuefeng Yang, Chaoyang Zhang, Yiqi Zhou
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Mixture multiphase flow model and several common turbulent models of the computational fluid dynamics (CFD) are chose. According to the two-phase turbulent coupling characteristic of powder, hot-air flow field and the operation data of the vertical roller mill chamber, it analyzed three-dimensional flow of the chamber using standard turbulent model, RNG turbulent model and Reynolds stress equation model (RSM). The results show that high pressure flow region enhancing separation efficiency is formed between the wall surface of chamber and the side of table. High speed flow in the end of the high pressure region improves the transportation efficiency of powder. The chamber internal flow field has part turbulent anisotropy. Especially, turbulent pulse between the table and gray bucket is significant.
A License Plate Extraction Algorithm Based on Edge Statistics and Region Growing
Authors: Manuel Vargas, Sergio L. Toral, Federico Barrero, Francisco Cortés
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

This paper presents a license plate extraction method for gray-scale images, based on a combination of edge statistics and a two-step seeded region growing algorithm. The proposed region growing algorithm uses a dual criterion based on edge density and gray-scale intensity affinity. The proposed method aims at achieving license plate segmentation that fits to the real plate boundaries better than existing methods. The robustness of the method has been tested with experimental results, including examples of low quality or poor-preserved plates and commercial or freight transport vehicles.
Parsing arguments of nominalizations in English and Chinese
Authors: Sameer Pradhan, Honglin Sun, Wayne Ward, James H. Martin, Dan Jurafsky
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

In this paper, we use a machine learning framework for semantic argument parsing, and apply it to the task of parsing arguments of eventive nominalizations in the FrameNet database. We create a baseline system using a subset of features introduced by Gildea and Jurafsky (2002), which are directly applicable to nominal predicates. We then investigate new features which are designed to capture the novelties in nominal argument structure and show a significant performance improvement using these new features. We also investigate the parsing performance of nominalizations in Chinese and compare the salience of the features for the two languages.
Enriching the interactive user experience of open document format
Authors: John M. Boyer, Charles F. Wiecha
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

The typical user experience of office documents is geared to the passive recording of user content creation. In this paper, we describe how to provide more active content within such documents based on elaborating the integration between Open Document Format (ODF) and the W3C standard for rich interactivity and data management in web pages (XForms). This includes assignment of more comprehensive behaviors to single form controls, better control over collections of form controls, readonly and conditional sections of mixed content and form controls, and dynamically repeated sections automatically responsive to data changes, including data obtained from web services invoked during user interaction with the document.
Agent Based Container Terminal Optimization
Authors: Peng Yang, Sun Junqing
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

A distributed MAS (multi agent system) architecture for moveable port resource operation has been presented in the paper, which builds upon elements from decentralized strategies. The system provides a feasible optimization solution to the problem due to its inherent complexity. Under such solution, an intelligent planning algorithm is continuously optimized by the dynamic and co-operative rescheduling of yard resources
Operation Mode of Canal System Based on Water Volume Control Method
Authors: Zhiliang Ding, Changde Wang, Guangming Tan, Xiong Yao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The canal operation algorithm based on water volume control method is proposed. The principle of combining discharge feedforward with water level feedback is adopted for operation of gates. And the gate controller adopts the incremental PI control algorithm. An operating simulation mode based on storage volume control method for multireach canal system in series under gate regulating is established. The instance simulation indicates the controlled volume method of operation proposed can carry on optimal control to the water volume of entire canal system. The system responds rapidly and transits smoothly, and the system operation has very strong flexibility.
Utilizing Negotiation Of Multi-Agent On Selecting Vehicle Priority
Authors: Jong Yih Kuo, Fu-Chu Huang
Venue: Journal of Integrated Design Process Science (2008)

This paper examines the Argumentation Negotiation of agent as a mechanism for solving the intersection priority problem. We integrated multi-agent automatic negotiation mechanism and argumentation reasoning to apply in selecting vehicle priority problem. Agent's belief is evolved by argumentation-base negotiation, so that an agent can adopt the environment easily and select even better actions. When agents are initially created, they have little knowledge and experience with relatively low capability. They strive to adapt themselves to the changing environment. It is an advantage for agents have a good way to learn and evolve their knowledge. This paper addresses evolution of intelligent agents in transport information system. Fuzzy theory is proposed as evolution mechanisms, and Fuzzy soft goal is introduced to facilitate the evolution process. We have built an agent system to demonstrate our approach.
Semantic classification with WordNet kernels
Authors: Diarmuid Ó Séaghdha
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)

This paper presents methods for performing graph-based semantic classification using kernel functions defined on the WordNet lexical hierarchy. These functions are evaluated on the SemEval Task 4 relation classification dataset and their performance is shown to be competitive with that of more complex systems. A number of possible future developments are suggested to illustrate the flexibility of the approach.
Surface acoustic wave characteristics of AlN thin films grown on a polycrystalline 3C-SiC buffer layer
Authors: Si-Hong Hoang, Gwiy-Sang Chung
Venue: Microelectronic Engineering (2009)

In this study, AlN thin films were deposited on a polycrystalline (poly) 3C-SiC buffer layer for surface acoustic wave (SAW) applications using a pulsed reactive magnetron sputtering system. AFM, XRD and FT-IR were used to analyze structural properties and the morphology of the AlN/3C-SiC thin film. Suitability of the film in SAW applications was investigated by comparing the SAW characteristics of an interdigital transducer (IDT)/AlN/3C-SiC structure with the IDT/AlN/Si structure at 160MHz in the temperature range 30-150^oC. These experimental results showed that AlN films on the poly (111) preferred 3C-SiC have dominant c-axis orientation. Furthermore, the film showed improved temperature stability for the SAW device, TCF=-18ppm/^oC. The change in resonance frequency according to temperature was nearly linear. The insertion loss decrease was about 0.033dB/^oC. However, some defects existed in the film, which caused a slight reduction in SAW velocity.
A demonstration of the RapidMesh development toolkit
Authors: Xiaozhou Li, Shivkumar C. Muthukumar, Changbin Liu, Joseph B. Kopena, Mihai Oprea, Ricardo Correa, Boon Thau Loo, Prithwish Basu
Venue: Proceedings of the 4th ACM international workshop on Experimental evaluation and characterization (2009)

We propose the demonstration of the RapidMesh development toolkit for rapid protocol simulation, implementation and experimentation in wireless mesh networks. RapidMesh utilizes declarative networking, a database-inspired extensible infrastructure that uses query languages to specify network behavior. RapidMesh integrates a declarative networking engine with the emerging ns-3 network simulator. Our demonstration presents the experimental evaluation of a variety of declarative MANET routing protocols under different dynamic settings on the ORBIT wireless testbed. The evaluation results are shown in the ns-3 visualizer to display the mobility pattern of network and to compare the protocol performance. We also demonstrate the development cycle for synthesizing and experimenting with new routing protocols.
Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
Venue: ACL Workshops (2004)

The ACL Special Interest Group in Computational Phonology organized a workshop on July 26, 2004, after the 24th meeting of the Association for Computational Linguistics in Barcelona, Spain. The papers in this volume were accepted for presentation at that workshop.
Learning to become an expert: Reinforcement learning and the acquisition of perceptual expertise
Authors: Olav E. Krigolson, Lara J. Pierce, Clay B. Holroyd, James W. Tanaka
Venue: Journal of Cognitive Neuroscience (2009)

To elucidate the neural mechanisms underlying the development of perceptual expertise, we recorded ERPs while participants performed a categorization task. We found that as participants learned to discriminate computer generated "blob" stimuli, feedback modulated the amplitude of the error-related negativity (ERN)-an ERP component thought to reflect error evaluation within medial-frontal cortex. As participants improved at the categorization task, we also observed an increase in amplitude of an ERP component associated with object recognition (the N250). The increase in N250 amplitude preceded an increase in amplitude of an ERN component associated with internal error evaluation (the response ERN). Importantly, these electroencephalographic changes were not observed for participants who failed to improve on the categorization task. Our results suggest that the acquisition of perceptual expertise relies on interactions between the posterior perceptual system and the reinforcement learning system involving medial-frontal cortex.
An evolutionary algorithm for assembly job shop with part sharing
Authors: Felix T. S. Chan, T. C. Wong, L. Y. Chan
Venue: Computers and Industrial Engineering (2009)

Assembly job shop problem (AJSP) is an extension of classical job shop problem (JSP). AJSP first starts with a JSP and appends an assembly stage after job completion. Lot Streaming (LS) technique is defined as the process of splitting lots into sub-lots such that successive operation can be overlapped. In this paper, the previous study of LS to AJSP is extended by allowing part sharing among distinct products. In addition to the use of simple dispatching rules (SDRs), an evolutionary approach with genetic algorithm (GA) is proposed to solve the research problem. A number of test problems were conducted to examine the performance of the proposed algorithm. Computational results suggested that the proposed algorithm can outperform the previous one, and can work well with respect to the objective function. Also, the inherent conflicting relationship between the primary objective and the system measurements can be addressed.
Study on the Active Service-Oriented Electronic Tradeoff Model and the Related Algorithms
Authors: Hu Wang, Wei-jian Li
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Along with the continuous development of internet, business activities through networks are becoming more and more common, yet completing a deal requires a lot of inquiry about and comparison of different business websites to go through matchmaking and negotiation with many trading partners. This complexity greatly obstructs the development of E-commerce. In order to realize the integration and share of resources and services, this paper proposes the dynamic electronic tradeoff model that is active service-oriented and applies the techniques of Agent and Web service. And the paper demonstrates the designing principle of the active service-oriented electronic tradeoff model, and the in-depth study on design of the model's architecture, modelling and solution of the multilateral multi-objective matchmaking agent and the bilateral multi-objective negotiation agent, and the experimental simulation of the related algorithms, and proposes the author's own opinion on this study.
PeerTIS: a peer-to-peer traffic information system
Authors: Jedrzej Rybicki, Björn Scheuermann, Markus Koegel, Martin Mauve
Venue: Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking (2009)

In this paper we propose a traffic information system based on the distribution of knowledge provided by the cars themselves. Prior work in this area attempted to realize this distribution via vehicular ad-hoc networks, i.e., by direct communication between cars. Such an approach faces serious problems due to capacity constraints, high data dissemination latencies, and limited initial deployment of the required technology. In this paper, we present a solution that is not based on ad-hoc networking, but is still fully decentralized. It establishes a peer-to-peer overlay over the Internet, using cellular Internet access. We present a structure for the overlay, a prototype implementation in a simulation environment, and results that underline the feasibility of such a system in a city scenario. We also provide an estimate of expected user benefits when our system is used for dynamic route guidance.
Improved Statistical Techniques for Multi-part Face Detection and Recognition
Authors: Christian Micheloni, Enver Sangineto, Luigi Cinque, Gian Luca Foresti
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

In this paper we propose an integrated system for face detection and face recognition based on improved versions of state-of-the-art statistical learning techniques such as Boosting and LDA. Both the detection and the recognition processes are performed on facial features (e.g., the eyes, the nose, the mouth, etc) in order to improve the recognition accuracy and to exploit their statistical independence in the training phase. Experimental results on real images show the superiority of our proposed techniques with respect to the existing ones in both the detection and the recognition phase.