ppxscal/embedding_network huggingface dataset:
Modeling Synchronization Loss in Large-Scale Brain Dynamics
Authors: Antonio J. Rivero, Jose Luis Cantero, Mercedes Atienza, Jordi García-Ojalvo
Venue: Proceedings of the 18th international conference on Artificial Neural Networks, Part II (2008)

We implement a model of the large-scale dynamics of the brain, and analyze the effect of both short- and long-range connectivity degradation on its coordinated activity, with the ultimate goal of comparing the structural and functional characteristics of neurodegenerative diseases such as Alzheimer's. A preliminary comparison between the results obtained with the model and the activity measured in patients diagnosed with mild cognitive impairment (a precursor of Alzheimer's disease) and healthy elderly controls is shown.
Arc-transitive cycle decompositions of tetravalent graphs
Authors: Štefko Miklavič, Primož Potočnik, Steve Wilson
Venue: Journal of Combinatorial Theory Series B (2008)

A cycle decomposition of a graph @C is a set C of cycles of @C such that every edge of @C belongs to exactly one cycle in C. Such a decomposition is called arc-transitive if the group of automorphisms of @C that preserve C setwise acts transitively on the arcs of @C. In this paper, we study arc-transitive cycle decompositions of tetravalent graphs. In particular, we are interested in determining and enumerating arc-transitive cycle decompositions admitted by a given arc-transitive tetravalent graph. Among other results we show that a connected tetravalent arc-transitive graph is either 2-arc-transitive, or is isomorphic to the medial graph of a reflexible map, or admits exactly one cycle structure.
The impact of federal policy on teachers' use of science manipulatives: a survey of teacher philosophy and practices
Authors: Linda Polin
Venue:  (2008)

Recently, educators in public K-12 schools have added testing of science knowledge to the measures of Adequate Yearly Progress required by the federal No Child Left Behind (NCLB) legislation. Research of the impact of NCLB policy on general teaching practices had credited the policy with improving instruction; however, negative impacts noted included the concern that teachers "teach to the test," narrowing the curriculum. Testing as an assessment strategy was not advocated by the professional educators and scientists responsible for the National Science Education Standards (NSES). Results from previous studies pointed to a potential conflict between the NCLB reforms and the National Science Education Standards science standards, in which teachers might reduce or eliminate hands-on activities and other constructivist practices in order to focus class time on other topics and tasks. Most research on NCLB policy, however, had not evaluated instructional practices regarding science education. This study examined the relationship among teacher beliefs, specifically the strength of their constructivist versus traditional beliefs, teachers' responses to NCLB policy, and teachers' use of constructivist practices in the form of manipulatives. This study showed that national policy did have an impact on teachers; however, that impact was not specific to the hands-on practices in science education. Teachers who responded to this survey had found many benefits in student learning using manipulatives and those positive impacts on their students justified the increased use of manipulatives in the classroom. The strength of teachers' constructivist beliefs showed a weak positive correlation to choices related to curriculum priorities, learning goals and advantages in using manipulatives. However, a relationship to beliefs was not found in the changes teachers made to various instructional practices, or in how they viewed certain manipulative materials, or in how they viewed federal policies. The impact of the federal policies was related more to school climate and teacher motivation than instructional choices. Most teachers reported positive impacts on student learning using manipulatives and these results, more than the pressure they felt to "cover the curriculum" or prepare students for standardized tests, provided reasons to continue using the practice.
Stochastic Bounds for Partially Generated Markov Chains: An Algebraic Approach
Authors: Ana Bušić, Jean-Michel Fourneau
Venue: Proceedings of the 5th European Performance Engineering Workshop on Computer Performance Engineering (2008)

We propose several algorithms to obtain bounds based on Censored Markov Chains to analyze partially generated discrete time Markov chains. The main idea is to avoid the generation of a huge (or even infinite) state space and to truncate the state space during the visit. The approach is purely algebraic and provides element-wise and stochastic bounds for the CMC.
Metaheuristic Agent Teams for Job Shop Scheduling Problems
Authors: Mehmet E. Aydin
Venue: Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2007)

This paper addresses and introduces an overview on various multi-agent architectures applied to teams of metaheuristic agents for job shop scheduling applications, whose developed and examined on distributed problem solving environments. We reported a couple of topologies; ATEAM is a centrally coordinating method, which provides very good results when well-studied, on the other hand, architectures based on peer-to-peer technology provide wider flexibility in implementing various fashions. The experimentation for each targeted topology has revealed more details and attracts more attentions.
Psml-based dynamic process collaboration framework in service oriented architecture
Authors: Qian Huang
Venue:  (2008)

In the current Service-Oriented Architecture (SOA) and Service-Oriented Computing (SOC), services are autonomous and are published in the service registry. One needs to use standard protocols such as UDDI/WSDL to manually discover and select service from the broker's registry and compose the SOA application. This approach has several drawbacks. For example, the current UDDI service registry does not contain enough meaningful semantic information for automated service selection, and the composition has to he conducted by experienced persons. Furthermore, once the application is deployed, it is generally difficult to reconfigure the system if the requirement is changed. Dynamic Process Collaboration (DPC) for SOA addresses these issues by introducing additional higher-level collaboration profile into the service specification. Standard ontology systems are used to transport semantic messages between services. DPC allows an SOA application to be able to commit process collaboration at runtime with other services which may remain unknown until the transaction starts. Under DPC, not only the message exchange agreements can be dynamically negotiated, but also the way the services interact with each other can be dynamically established. The application of such dynamic collaboration protocol can change the landscape of the current interactive services. By making the application adaptive to the control logic changes in a specific scope, one can achieve more flexibility and agility and reduce the application maintenance cost. DPC brings great challenges to the current Service Oriented System Engineering (SOSE) approach. This dissertation proposed a PSML-based framework and aims to provide an overall solution for dynamic process collaboration under SOA.
A Theory of Closure Operators
Authors: Alva L. Couch, Marc Chiarini
Venue: Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services (2008)

We explore how fixed-point operators can be designed to interact and be composed to form autonomic control mechanisms. We depart from the idea that an operator is idempotent only for the states that it assures, and define a more general concept in which acceptable states are a superset of assurable states. This modified definition permits operators to make arbitrary choices that are later changed by other operators, easing their composition and allowing them to maintain aspects of a configuration. The result is that operators can be used to implement closures, which can in turn be used to build self-managing systems.
Designing avatars
Authors: Marion Boberg, Petri Piippo, Elina Ollila
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

This document summarizes three studies on avatars leading us to propose considerations for designing avatars. A background study was conducted on earlier avatar research and the key findings are summarized in this document. Based on the background study, we conducted focus groups discussion with active online community users (who participated in social networking web sites, virtual worlds, and massively multi-player online games) to gain a better understanding of what aspects in designing avatars are important to users. From those two studies we elaborated a list of considerations topicss pointing out aspects that designers can use for avatar design. Moreover, for our avatar design project, we conducted a third study where we investigated the use of online avatar design applications. Through the analysis of this third study, we evaluated the considerations from the user point of view. In conclusion, we discuss the findings and propose a summarized list of the considerations that appear essential when designing new virtual worlds involving avatars. These design considerations concern the way avatars look, what they can do, the way they can be used for communication, the context in which they are created, how many avatars can be created and in under what kind of governance, who owns the avatar, and how to plan avatar design.
Partial Parsing: Combining Choice with Commitment
Authors: Malcolm Wallace
Venue: Implementation and Application of Functional Languages: 19th International Workshop, IFL 2007, Freiburg, Germany, September 27-29, 2007. Revised Selected Papers (2008)

Parser combinators, often monadic, are a venerable and widely-used solution to read data from some external format. However, the capability to return a partial parse has, until now, been largely missing. When only a small portion of the entire data is desired, it has been necessary either to parse the entire input in any case, or to break up the grammar into smaller pieces and move some work outside the world of combinators.This paper presents a technique for mixing lazy, demand-driven, parsing with strict parsing, all within the same set of combinators. The grammar specification remains complete and unbroken, yet only sufficient input is consumed to satisfy the result demanded. It is built on a combination of applicative and monadic parsers. Monadic parsing alone is insufficient to allow a choice operator to coexist with the early commitment needed for lazy results. Applicative parsing alone can give partial results, but does not permit context-sensitive grammars. But used together, we gain both partiality and a flexible ease of use.Performance results demonstrate that partial parsing is often faster and more space-efficient than strict parsing, but never worse. The trade-off is that partiality has consequences when dealing with ill-formed input.
On a Păun's Conjecture in Membrane Systems
Authors: Giancarlo Mauri, Mario J. Pérez-Jiménez, Claudio Zandron
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)

We study a Păun's conjecture concerning the unsolvability of NP---complete problems by polarizationless P systems with active membranes in the usual framework, without cooperation, without priorities, without changing labels, using evolution, communication, dissolution and division rules, and working in maximal parallel manner. We also analyse a version of this conjecture where we consider polarizationless P systems working in the minimally parallel manner.
Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor
Authors: Sidney D'Mello, Roger Taylor, Kelly Davidson, Art Graesser
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

The relationship between emotions and learning was investigated by tracking the affective states that college students experiencedwhile interacting with AutoTutor, an intelligent tutoring system with conversational dialogue. An emotionally responsive tutor would presumably facilitate learning, but this would only occur if learner emotions can be accurately identified. After a learning session with AutoTutor, the affective states of the learner were classified by the learner and two accomplished teachers. The classification of the teachers was not very reliable and did not match the learners self reports. This result suggests that accomplished teachers may be limited in detecting the affective states of learners. This paper discusses the implications of our findings for theories of expert tutoring and for alternate methodologies for establishing convergent validity of affect measurement.
Comparison between artificial neural networks algorithms for the estimation of the flashover voltage on insulators
Authors: V. T. Kontargyri, G. J. Tsekouras, A. A. Gialketsi, P. A. Kontaxis
Venue: Proceedings of the 9th WSEAS International Conference on Neural Networks (2008)

This work attempts to apply Artificial Neural Networks in order to estimate the critical flashover voltage on polluted insulators. First, an ANN was constructed in MATLAB and has been trained with several MATLAB training functions. Then, an ANN was constructed in FORTRAN using an adaptive algorithm, in which the parameters of momentum and learning rate changed during the learning procedure, in order to optimize the training process. In each case the Artificial Neural Network uses as input variables the following characteristics of the insulator: the diameter, the height, the creepage distance, the form factor and the equivalent salt deposit density and estimates the critical flashover voltage.
A Structural Adapting Self-organizing Maps Neural Network
Authors: Xinzheng Xu, Wenhua Zeng, Zuopeng Zhao
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

Genetic algorithm is introduced to network optimization to overcome the limitation of conventional SOM network. Based on this idea, a new model of structural adapting self-organizing neural network is proposed. In this model, each neuron is regarded as individual of evolutionary population and three operators are constructed as follows:growing operator, pruning operator and stochastic creating operator. In the algorithm, the accumulative error of neuron is selected as fitness function each iteration, and the neurons on compete layer are generated or deleted adaptively according to the values of fitness function until there is not any change of neuron on compete layer. Simulation experiments indicate that this structural adaptive network has better performance than conventional SOM network.
Statistical analysis on ultrasonic signals measured on automobile engine block
Authors: M. Z. Nuawi, S. Abdullah, A. R. Ismail, M. K. Zakaria, F. Lamin, M. F. H. Hussin
Venue: Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing (2008)

The development of statistical analysis has played an important part in studying large data that captured from engine block as apart of engine monitoring and diagnose. With in this paper the application of statistical analysis was introduced utilizing Kurtosis, I-kaz coefficient, Crest Factor and Skewness parameter. There is potential that these statistical parameters could serve as pattern recognition to identify engine type and characteristic. The study was performed in two stages. The first stage is an experimental process that uses two three-cylinder automobile 845 cc and 850 cc engines which run under idle condition. In the second stage, the plots of signal's statictical parameter based on the engine type were done accordingly. As a result, the plot of the statistical parameter against I-kaz coefficient shows an excellent classification pattern. The pattern was useful in determining engine type for signal confirmation and engine fault detection.
Mining for scalar representations of emotions in music databases
Authors: Mirsad Hadzikadic
Venue:  (2007)

This dissertation examines an important issue in the Music Information Retrieval domain: codifying the classification of harmonic pitches for the purpose of discovering action rules to interact with scalar music theory. Our intent is twofold: (1) Codify scalar music theory for the purpose of classification rules mining to build a system for automatic indexing of music by scale, region, genre, and emotion, (2) Use action rules mining to permit developers to manipulate a search's resultant composition's genre and tension while still retaining the bulk of original music score. We propose a categorization system for music based upon classification rules and action rules. Herein is a procedure that draws categorization from temporal and spectral attributes of signals that result in a structure conducive for data mining emotions in music based upon classification rules and action rules.
Responding to Student Uncertainty During Computer Tutoring: An Experimental Evaluation
Authors: Kate Forbes-Riley, Diane Litman, Mihai Rotaru
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

This paper evaluates dialogue-based student performance in a controlled experiment using versions of a tutoring system with and without automatic adaptation to the student affective state of uncertainty. Our performance metrics include correctness, uncertainty, and learning impasse severities, which are measured in a "test" dialogue after the tutoring treatment. Although these metrics did not significantly differ across conditions when considering all student answers in our test dialogue, we found significant differences in specific types of student answers, and these differences suggest that our uncertainty adaptation does have a positive benefit on student performance.
Neural-Network-Driven Fuzzy Optimum Selection for Mechanism Schemes
Authors: Yingkui Gu, Xuewen He
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

Product conceptual design is an innovative activity that is to form and optimize the projects of products. Identification of the best conceptual design candidate is a crucial step as design information is not complete and design knowledge is minimal at conceptual design stage. It is necessary to select the best scheme from feasible alternatives through comparison and filter. In this paper, the evaluation system of mechanism scheme is established firstly based on the performance analysis of the mechanism system and the opinions of experts. Then, the fuzzy optimum selection model of mechanism scheme evaluation is provided. Combined with the fuzzy optimum selection model with the neural network theory, a rational pattern of determining the topologic structure of network is provided. It also provides a weight-adjusted BP model of the neural network with the fuzzy optimum selection model for mechanism scheme. Finally, an example is given to verify the effective feasibility of the proposed method.
The Use of Ontologies to Structure and Support Interactions in LOR
Authors: Aude Dufresne, Mohamed Rouatbi, Fethi Guerdelli
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

Actors using Learning Object Repositories are faced to a diversity of components created for specific situations. This research focused on creating a generic solution to integrate various applications and scenarios representation in the context of help to actors using LOR. The ODIS framework was developed and tested to interlink applications written in different programming languages, using shared OWL models: Explor@Graph, a Computer Supported Experimentation System, a scenario Editor and a Learning Object Repository. Models and instances are stored in a Sesame RDF database, offering many services such as import, export and query. Ontologies are used to standardize representations and models, so information can be exchanged and also to organize feedback and help in the environment. We will present how ODIS uses ontologies to transpose learning scenarios representations, to enrich them with user models and to define help.
VoIP Requires Light Regulatory Approach - ICC
Authors: Staff
Venue: I-WAYS - The Journal of E-Government Policy and Regulation (2005)

The International Chamber of Commerce (ICC) and its national committees around the world approved a statement on VoIP, calling on governments to take a light-handed approach to regulating an emerging range of IP-enabled services, including VoIP. The ICC believes VoIP has the potential to serve as a catalyst for broadband development and to help governments achieve their goal of economic and social development by expanding economic activity and bringing benefits of ICT to their citizens. The ICC Telecom Task Force that prepared the statement believes the present shift to IP networks "enables a revolutionary set of converged voice, data, and video applications for business and benefits for the information society as a whole." 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
A Correlated Bit-Plane Model for Wavelet Subband Histograms and Its Application to Chinese Materia Medica Starch Grains Classification
Authors: S. K. Choy, C. S. Tong
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

This paper presents an effective statistical model for wavelet high frequency subband histograms and a novel image signature by bit-plane extractions. Our proposed model, namely, the first order correlated bit-plane probability model, is shown to match well with the observed histograms especially when the size of subband coefficients is small and performs better than the product Bernoulli distributions (PBD model) as described. Experimental results on supervised Chinese Materia Medica starch grains images classification show that our proposed signature based on wavelet subband correlated bit-plane probabilities outperforms the current state-of-the-art signatures including the generalized Gaussian density signature (GGD), the granulometric circular size distribution, and the bit-plane probability (BP) signature.
Chance Discovery in Credit Risk Management: Estimation of Chain Reaction Bankruptcy Structure by Directed KeyGraph
Authors: Shinichi Goda, Yukio Ohsawa
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

Credit risk management based on portfolio theory becomes popular in recent Japanese financial industry. But consideration and modeling of chain reaction bankruptcy effect in credit portfolio analysis leave much room for improvement. That is mainly because method for grasping relations among companies with limited data is underdeveloped. In this article, chance discovery method with directed KeyGraph is applied to estimate industrial relations that are to include companies' relations that transmit chain reaction of bankruptcy. The steps for the data analysis are introduced and result of example analysis with default data in Kyushu, Japan, 2005 is presented.