ppxscal/embedding_network huggingface dataset:
Optimizing quality of service of wireless mobile ad-hoc networks using evolutionary computation
Authors: Thomas J. Sapienza
Venue: Proceedings of the 4th annual workshop on Cyber security and information intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead (2008)

This proposal will formulate a model representing key, multi-attribute Quality of Service (QoS) parameters for wireless Mobile Ad-hoc Networks (MANETs), consistent with Institute of Electrical and Electronics Engineers 802.11 standards. Designing and implementing MANETs can be quite complex due to the inherent nature of wireless communications and adverse effects, such as channel capacity variations, routing failures, and erratic power control, can wreak havoc with these implementations. The developed model, built on scalable, real-world scenarios from academia, government, and industry, will determine a compromise solution for these attributes and their non-linear trade-offs. After depicting representative models, network simulations and subsequent empirical data compilations will be analyzed for optimization purposes. Since solving the optimization problem will be highly complex, characterizing the salient QoS parameters using classical gradient-approach methods were considered unsuitable and impractical. Rather, a Non-Polynomial-complete model using evolutionary programming tools was conceived. The corresponding fitness function will represent these parameters through the use of computation intelligence techniques, preferably fuzzy logic associative memories and genetic algorithms. The outcome is expected to benefit design and implementation of data link protocol and network layer routing algorithm improvements for QoS control.
Evolutionary Product Line Requirements Engineering
Authors: Isabel John, Karina Villela
Venue: Proceedings of the 2008 12th International Software Product Line Conference (2008)

Product Line Engineering has a widespread use in industry now. Therefore there is a high need for customizable, adaptable, and also for mature methods. Scoping and product line analysis are a unique and integral part of Product Line Engineering. In these phases we determine where to reuse and what to reuse, establishing the basis for all technical, managerial, and investment decisions in the product line to come. Furthermore, these early phases are highly context dependant. In this tutorial we will give an introduction on how to analyze an environment with the purpose of planning a product line and its future evolution. We focus on product line requirements engineering methods, comprising product line scoping, analysis, and planning for evolution.
Lazy Behavioral Subtyping
Authors: Johan Dovland, Einar Broch Johnsen, Olaf Owe, Martin Steffen
Venue: Proceedings of the 15th international symposium on Formal Methods (2008)

Late binding allows flexible code reuse but complicates formal reasoning significantly, as a method call's receiver class is not statically known. This is especially true when programs are incrementally developed by extending class hierarchies. This paper develops a novel method to reason about late bound method calls. In contrast to traditional behavioral subtyping, reverification is avoided without restricting method overriding to fully behavior-preserving redefinition. The approach ensures that when analyzing the methods of a class, it suffices to consider that class and its superclasses. Thus, the full class hierarchy is not needed, and incremental reasoning is supported. We formalize this approach as a calculus which lazily imposes context-dependent subtyping constraints on method definitions. The calculus ensures that all method specifications required by late bound calls remain satisfied when new classes extend a class hierarchy. The calculus does not depend on a specific program logic, but the examples in the paper use a Hoare-style proof system. We show soundness of the analysis method.
ANF Stochastic Low Rate Stimulation
Authors: Ernesto A. Martínez---Rams, Vicente Garcerán---Hernández
Venue: Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks (2007)

Science has been researching on the physiology of the human hearing, and in the last decades, on the mechanism of the neural stimulus generation towards the nervous system. The objective of this research is to develop an algorithm that generalizes the stochastic spike pattern of the auditory nerve fibers (ANF) formulated by Meddis, which fulfils the Volley principle (principle that better describes the operation of the auditory system). The operating principle of the peripheral auditory system together with the models chosen to stimulate the auditory system and the characteristics of the implemented computational model are herein described. The implementation and analysis of the stochastic spike of a simple ANF and the spatial and spatial---temporal stochastic stimulation models demonstrate the superiority of the latter.
LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology
Authors: Xuhui Wang, Shengguo Huang, Li Cao, Dinghao Shi, Ping Shu
Venue: Proceedings of the 3rd international conference on Advanced Data Mining and Applications (2007)

The operations of aircraft fleets typically result in large volumes of data collected during the execution of various operational and support processes.This paper reports on an Airlines-sponsored study conducted to research the applicability of data mining for processing engine data for fault diagnostics. The study focused on three aspects: (1) understanding the engine fault maintenance environment, and data collection system; (2) investigating engine fault diagnosis approaches with the purpose of identifying promising methods pertinent to aircraft engine management; and (3) defining a Support Vector Machines model with Fuzzy clustering to support the data mining work in aero engine fault detection. Results of analyses of maintenance data and flight data sets are presented. Architecture for mining engine data is also presented.
Wire-OR Logic on Transmission Lines
Authors: David Gustavson, John Theus
Venue: IEEE Micro (1983)

In modern high-speed systems, avoid wire-OR logic in transmission lines whenever possible or make allowances for its foibles.
The Behaviour-Based Control Architecture iB2C for Complex Robotic Systems
Authors: Martin Proetzsch, Tobias Luksch, Karsten Berns
Venue: Proceedings of the 30th annual German conference on Advances in Artificial Intelligence (2007)

This paper presents the behaviour-based control architecture iB2C (integrated Behaviour-Based Control) used for the development of complex robotic systems. The specification of behavioural components is described as well as the integration of behaviour coordination and hierarchical abstraction. It is considered how the design process can be supported by guidelines and by tools for development as well as analysis. Finally some application platforms are presented.
Ontology-Based Description of Learning Object
Authors: Xiaodan Wang, Fang Fang, Lei Fan
Venue: Proceedings of the 7th international conference on Advances in Web Based Learning (2008)

With the development of information technologies many researchers and instructors are interested in the educational resources on the Web. All the resources are described as Learning Object which focuses on reusability and automation. Learning Object is a central notion of the majority of current researches to Web-based education, and many institutions devote themselves to research the standardization of learning object. After analyzing Learning Object's definition and metadata the authors emphasize that the metadata alone is not enough because it is lack of semantic and reasoning capability. Semantic Web is put forward to solve the semantic problems in current Web. Ontology is the core concept and technology in this framework. In order to reuse and share learning object better, the ontology-based description of learning object is expatiated, meanwhile this paper provides a learning object ontology with the development tool Protégé. At last a shareable model in Semantic Web is mentioned.
Post electrochemical Cu deposition anneal impact on stress-voiding in individual vias
Authors: M. Gregoire, M. Juhel, P. Vannier, P. Normandon
Venue: Microelectronic Engineering (2008)

Stress-voiding is a critical reliability issue in Cu dual-damascene interconnects which could induce via openings. In our case, voids are typically observed at the edges at the bottom of vias. This location is correlated to a local delamination at Cu/Ta interface [E.T. Ogawa, J.W. McPherson, J.A. Rosal, M.J. Dickerson, T.-C. Chiu, L.Y. Tsung, M.K. Jain, T.D. Bonifield, J.C. Ondrusek, W.R. McKee, IEEE Int. Rel. Phys. Symp. Proc. (2002) 312-321; Y.K. Lim et al., Stress-induced voiding in multi-level copper/low-k interconnects, IEEE Int. Rel. Phys. Symp. Proc. (2004) 240-245]. Then, Cu/Ta interface properties at the bottom of via seem to be in the critical path for stress-voiding. In this paper, stress-voiding on 300mm wafers in individual vias for different post electrochemical Cu deposition (ECD) anneals is studied. Electrical results show the clear benefit of hot plate and short furnace annealings. Microstructural characterizations indicate that impurities accumulation at Cu/Ta interface during long annealings could drive preferred void nucleation.
Next Generation Semantic Business Process Management
Authors: Armin Haller, Marin Dimitrov
Venue: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management (2007)

This tutorial explains and demonstrates how the introduction of Semantic Web Services (SWS) to process aware software systems and to Business Process Management (BPM) in general can eliminate the deficiencies that current BPM technology exhibits. The tutorial starts with a thorough discussion of the underlying concepts, Service Oriented Architectures, ontologies, business process management systems and its relevance for today's system developers. The tutorial will further present the state of the art of current process management systems and Semantic Web Service frameworks. It will motivate the need for explicit use of Semantics to overcome the current weaknesses in BPM, and present a consolidated technical framework that integrates SWS into BPM technology.The first session will cover the foundations and theoretical aspects, while the second session will be dedicated to a software demonstration and a hands-on session wherein the attendees actively model Business Processes and Semantic Web Services with the respective software tools. Therewith attendees will gain a comprehensive overview of the latest developments in semantically enriched BPM technology, which is one of the central trends in BPM research and development. The tutorial will be held by BPM and SWS experts that actively work on integration of both technologies.
Efficient Pruning of Operators in Planning Domains
Authors: Anders Jonsson
Venue: Current Topics in Artificial Intelligence: 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November 12-16, 2007. Selected Papers (2007)

Many recent successful planners use domain-independent heuristics to speed up the search for a valid plan. An orthogonal approach to accelerating search is to identify and remove redundant operators. We present a domain-independent algorithm for efficiently pruning redundant operators prior to search. The algorithm operates in the domain transition graphs of multi-valued state variables, so its complexity is polynomial in the size of the state variable domains. We prove that redundant operators can always be replaced in a valid plan with other operators. Experimental results in standard planning domains demonstrate that our algorithm can reduce the number of operators as well as speed up search.
Large Scale Three-Dimensional Boundary Element Simulation of Subduction
Authors: Gabriele Morra, Philippe Chatelain, Paul Tackley, Petros Koumoutsakos
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

We present a novel approach for modeling subduction using a Multipole-accelerated Boundary Element Method (BEM). The present approach allows large-scale modeling with a reduced number of elements and scales linearly with the problem size. For the first time the BEM has been applied to a subduction model in a spherical planet with an upper-lower mantle discontinuity, in conjunction with a free-surface mesh algorithm.
A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL
Authors: Mingxia Gao, Jiming Liu, Ning Zhong, Chunnian Liu, Furong Chen
Venue: Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms (2007)

One of key problems in implementing a dynamic interface between human and agents is how to do semantic mapping from natural language questions to OWL. The paper views the task as a two-class classification problem. A pair of question variable and OWL element is a sample. Two classes of "Matched" and "Unmatched" explain two relations between the question variable and the OWL element in a given sample. Building appropriate semantic mapping is the same as classifying the sample to a "Matched" class by an effective machine learning method and a trained model. Two types of features of samples are selected. Syntactical features denote the syntactical structure of a given sample. Semantic features present multiple relations between the question variable and the OWL element in one sample. Preliminary experimental results show that the sum precision of the learning-based model is better than that of the constraints-based method.
On the use of intelligent local resource management for improved virtualized resource provision: challenges, required features, and an approach
Authors: Fernando Rodríguez, Felix Freitag, Leandro Navarro
Venue: Proceedings of the 2nd workshop on System-level virtualization for high performance computing (2008)

This work aims to achieve better management of physical resources by dynamically reallocating and adjusting local resources according to demand. The research contribution should be measured through three aspects: administrative with a delegation mechanism to help in the management of Virtual Machine (VM) based large-scale systems, fine-grain allocation with an approach to improve the use of physical resources, and intelligent management with a configurable self-adapting engine aware of the application-level requirements. We take into account that each application has different behavior and requires different hardware and software. These dynamic features in a cluster of VM-based resource providers present a challenge to assign properly, according to certain optimization criteria, the physical resources to the VMs. We evaluate, as a case study of resources management, the automated management of CPU in multiprocessor machines.
An Intelligent Ontology and Bayesian Network Based Semantic Mashup for Tourism
Authors: Wei Wang, Guosun Zeng, Dongqi Zhang, Yu Huang, Yufeng Qiu, Xiaojun Wang
Venue: Proceedings of the 2008 IEEE Congress on Services - Part I (2008)

A common perception is that there are two competing vision for the future evolution of the Web: the Semantic Web and Web 2.0. In fact, Semantic Web technologies must integrate with Web 2.0 services for both to leverage each other’s strengths. This paper illustrates how Semantic Web technologies can support information integration and make it easy to create semantic mashups. An intelligent recommendation system for tourism is presented to show the efficiency of our method. Through the ontology of tourism, the system allows the integration of heterogeneous online travel information. Based on Bayesian network technique method, the system recommends tourist attractions to a user by taking into account the travel behaviour both of the user and of other users.
Fanboys, competers, escapists and time-killers: a typology based on gamers' motivations for playing video games
Authors: Dimitri Schuurman, Katrien De Moor, Lieven De Marez, Jan Van Looy
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

In this paper, the different general motivations of gamers for playing video games are explored. Surprisingly, to date little research has been devoted to the characterization of the gamer, based on general game motivations. By means of an online survey, we questioned 2985 Flemish gamers on 11 general game motivations. K-means clustering was used to distinguish four distinctive gamer profiles: the overall convinced gamer, the convinced competitive gamer, the escapist gamer and the pass-time gamer.
Fast Path Session Creation on Network Processors
Authors: Bo Xu, Yaxuan Qi, Fei He, Zongwei Zhou, Yibo Xue, Jun Li
Venue: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems (2008)

The security gateways today are required not only to block unauthorized accesses by authenticating packet headers, but also by inspecting connection states to defend against malicious intrusions. Hence session creation rate plays a key role in determining the overall performance of stateful intrusion prevention systems. In this paper, we propose a high-speed session creation scheme optimized for network processors. Main contribution includes: a) A high-performance flow classification algorithm on network processors; b) An efficient TCP three-way handshake scheme designed for fast-path processing using a two-stage intelligent hashing. Experimental results show that: a) The presented parallel optimized flow classification algorithm, Parallel Search Cross-Producting, outperforms the original Cross-Producting and Binary Search Cross-Producting algorithms with 300% and 60% increase of classification speed; b) The proposed fast path three-way handshake scheme, IntelliHash, achieves a TCP connection creation rate over 2M connections per second.
A Framework for Language-Independent Analysis and Prosodic Feature Annotation of Text Corpora
Authors: Dimitris Spiliotopoulos, Georgios Petasis, Georgios Kouroupetroglou
Venue: Proceedings of the 11th international conference on Text, Speech and Dialogue (2008)

Concept-to-Speech systems include Natural Language Generators that produce linguistically enriched text descriptions which can lead to significantly improved quality of speech synthesis. There are cases, however, where either the generator modules produce pieces of non-analyzed, non-annotated plain text, or such modules are not available at all. Moreover, the language analysis is restricted by the usually limited domain coverage of the generator due to its embedded grammar. This work reports on a language-independent framework basis, linguistic resources and language analysis procedures (word/sentence identification, part-of-speech, prosodic feature annotation) for text annotation/processing for plain or enriched text corpora. It aims to produce an automated XML- annotated enriched prosodic markup for English and Greek texts, for improved synthetic speech. The markup includes information for both training the synthesizer and for actual input for synthesising. Depending on the domain and target, different methods may be used for automatic classification of entities (words, phrases, sentences) to one or more preset categories such as "emphatic event", "new/old information", "second argument to verb", "proper noun phrase", etc. The prosodic features are classified according to the analysis of the speech-specific characteristics for their role in prosody modelling and passed through to the synthesizer via an extended SOLE-ML description. Evaluation results show that using selectable hybrid methods for part-of-speech tagging high accuracy is achieved. Annotation of a large generated text corpus containing 50% enriched text and 50% canned plain text produces a fully annotated uniform SOLE-ML output containing all prosodic features found in the initial enriched source. Furthermore, additional automatically-derived prosodic feature annotation and speech synthesis related values are assigned, such as word-placement in sentences and phrases, previous and next word entity relations, emphatic phrases containing proper nouns, and more.
Semi-automatic Construction of an Ontology and of Semantic Annotations from a Discussion Forum of a Community of Practice
Authors: Bassem Makni, Khaled Khelif, Rose Dieng-Kuntz, Hacène Cherfi
Venue: Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns (2008)

In this paper we describe a method for creating a semantic portal from a corpus of e-mails of a community of practice. Using Natural Language Processing (NLP) techniques to build semi-automatically an ontology and semantic annotations from an email-list corpus raises several original issues. The ontology and the annotations thus obtained are then used in a semantic portal that facilitates ontology-guided and personalized navigation of the CoP members.
Distributed multicast routing protocol for mobile ad hoc networks
Authors: Tzay-Farn Shih, Chao-Cheng Shih, Chin-Ling Chen
Venue: Proceedings of the 6th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical (2008)

Multicasting will be concerned as an essential part of mobile Ad Hoc networks. Many proposed routing algorithms require maintaining a global network state at each node, the imprecision of global state and the large amount of storage and communication overhead induce poor scalability. In this paper, we propose a distributed cluster-based QoS multicast routing algorithm which only requires maintaining a local state at each node. Our protocol partitions the network into square clusters. In each cluster, a cluster head and gateways are selected. Then, a distributed computation collectively utilizes the local state information to construct multicast tree in a hop-by-hop basis. Simulations are conducted to evaluate the performance of our algorithm. As it turns out, our protocol has better performance and lower routing overhead than the non-cluster based algorithm.
Vowel Imitation Using Vocal Tract Model and Recurrent Neural Network
Authors: Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, Hiroshi G. Okuno
Venue: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II (2008)

A vocal imitation system was developed using a computational model that supports the motor theory of speech perception. A critical problem in vocal imitation is how to generate speech sounds produced by adults, whose vocal tracts have physical properties (i.e., articulatory motions) differing from those of infants' vocal tracts. To solve this problem, a model based on the motor theory of speech perception, was constructed. Applying this model enables the vocal imitation system to estimate articulatory motions for unexperienced speech sounds that have not actually been generated by the system. The system was implemented by using Recurrent Neural Network with Parametric Bias (RNNPB) and a physical vocal tract model, called Maeda model. Experimental results demonstrated that the system was sufficiently robust with respect to individual differences in speech sounds and could imitate unexperienced vowel sounds.