ppxscal/embedding_network huggingface dataset:
The Evaluation of Advantageous Industries and the Analysis of Their Global Logistics Operations --Case Study of Precision Machine Tool Industry
Authors: Amy J. C. Trappey, Charles V. Trappey, Gilbert Y. P. Lin, C. S. Liu, W. T. Lee
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

This research studies the development and operations of advantageous industries' logistics hubs in Taiwan. Based on a comprehensive analysis of related data, we quantitatively and objectively identify Taiwan industries on a scale from low to high advantages. The advantage ranking, combined with economic production data and other global indicators, enables us to place the industries into categories. Based on the categories of advantageous industries, selective companies are targeted and surveyed to depict their current and improved operations of global logistics and distribution hubs. The systems underlying these logistics/distribution hubs are modelled using INCOME, an integrated system analysis tool designed to capture, describe, and analyze business processes with various views. Given the set of business process models, we provide an approach for industries to rapidly implement best logistics practice for global trades. The models enable companies to rapidly configure and test multiple hub models for disaggregated global production and distribution chains. We use the precision machine tool industry as the case example to demonstrate the proposed methodology.
Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization
Authors: Jeoung-Nae Choi, Young-Il Lee, Sung-Kwun Oh
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

This paper concerns Fuzzy Radial Basis Function Neural Networks with Information Granulation (IG- FRBFNN) and its optimization by means of the Hierarchical Fair Competition-based Parallel Genetic Algorithm (HFC-PGA). In the proposed network, the membership function of the premise part of fuzzy rules is determined by means of Fuzzy C-Means clustering. Also, we consider high-order polynomial as the consequent part of fuzzy rules which represent the input-output characteristic of subspace and the weighted Least Squares (WLS) learning is used to estimate the coefficients of polynomial. Since the performance of IG-RBFNN model is affected by some parameters such as a specific subset of input variables, the fuzzification coefficient of FCM, the number of rules and the polynomial order of the consequent part of fuzzy rules, we need the structural as well as parametric optimization of the network. In this study, the HFC-PGA is exploited to carry out the structural as well as parametric optimization of IG-based FRBFNN. The proposed model is demonstrated with the use of the chaotic Mackey-Glass time series data.
About of PI fuzzy controller in DC to DC power converters
Authors: Jenica Ileana Corcau, Eleonor Stoenescu, Teodor Lucian Grigorie
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

In this paper is presented a fuzzy PI controller. Fuzzy PI controller and principles their performing is considered in large applications. Based on a qualitative descripion of the system to be controlled, fuzzy controller is capable of good performances when a mathematical description is not available. The PI like controller presented is general and can be applied to any dc to dc power converters topologies. Simulation results of Buck converter sho? control potentialities.
Assessing the exceptionality of coloured motifs in networks
Authors: Sophie Schbath, Vincent Lacroix, Marie-France Sagot
Venue: EURASIP Journal on Bioinformatics and Systems Biology (2009)

Various methods have been recently employed to characterise the structure of biological networks. In particular, the concept of network motif and the related one of coloured motif have proven useful to model the notion of a functional/evolutionary building block. However, algorithms that enumerate all the motifs of a network may produce a very large output, and methods to decide which motifs should be selected for downstream analysis are needed. A widely used method is to assess if the motif is exceptional, that is, over- or under-represented with respect to a null hypothesis. Much effort has been put in the last thirty years to derive P-values for the frequencies of topological motifs, that is, fixed subgraphs. They rely either on (compound) Poisson and Gaussian approximations for the motif count distribution in Erdös-Rényi random graphs or on simulations in other models. We focus on a different definition of graph motifs that corresponds to coloured motifs. A coloured motif is a connected subgraph with fixed vertex colours but unspecified topology. Our work is the first analytical attempt to assess the exceptionality of coloured motifs in networks without any simulation. We first establish analytical formulae for the mean and the variance of the count of a coloured motif in an Erdös-Rényi random graph model. Using simulations under this model, we further show that a Pólya-Aeppli distribution better approximates the distribution of the motif count compared to Gaussian or Poisson distributions. The Pólya-Aeppli distribution, and more generally the compound Poisson distributions, are indeed well designed to model counts of clumping events. Altogether, these results enable to derive a P-value for a coloured motif, without spending time on simulations.
Integrating ontological knowledge and textual evidence in estimating gene and gene product similarity
Authors: Antonio Sanfilippo, Christian Posse, Banu Gopalan, Stephen Tratz, Michelle Gregory
Venue: Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis (2006)

With the rising influence of the Gene Ontology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associated with them. So far, these approaches have solely relied on the knowledge encoded in the Gene Ontology and the gene annotations associated with the Gene Ontology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.
Undecidability of Cost-Bounded Reachability in Priced Probabilistic Timed Automata
Authors: Jasper Berendsen, Taolue Chen, David N. Jansen
Venue: Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation (2009)

Priced Probabilistic Timed Automata (PPTA) extend timed automata with cost-rates in locations and discrete probabilistic branching. The model is a natural combination of Priced Timed Automata and Probabilistic Timed Automata. In this paper we focus on cost-bounded probabilistic reachability for PPTA, which determines if the maximal probability to reach a goal location within a given cost bound (and time bound) exceeds a threshold p ¿ (0,1]. We prove undecidability of the problem for simple PPTA in 3 variants: with 3 clocks and stopwatch cost-rates or strictly positive cost-rates. Because we encode a 2-counter machine in a new way, we can also show undecidability for cost-rates in ¿ and only 2 clocks.
Edge-preserving smoothing using a similarity measure in adaptive geodesic neighbourhoods
Authors: Jacopo Grazzini, Pierre Soille
Venue: Pattern Recognition (2009)

This paper introduces a novel image-dependent filtering approach derived from concepts known in mathematical morphology and aiming at edge-preserving smoothing of natural images. Like other adaptive methods, it assumes that the neighbourhood of a pixel contains the essential information required for the estimation of local features in the image. The proposed strategy essentially consists in a weighted averaging combining both spatial and tonal information. For that purpose, a twofold similarity measure is calculated from local geodesic time functions. This way, no prior operator definition is required since a weighting neighbourhood and a weighting kernel are determined automatically from the unfiltered input data for each pixel location. By designing relevant geodesic masks, two adaptive filtering algorithms are derived that are particularly efficient at smoothing heterogeneous areas while preserving relevant structures in greyscale and multichannel images.
ASP.NET AJAX Programming Tricks
Authors: Matthew David Ellis
Venue:  (2007)

Whether you're new to ASP.NET AJAX or an experienced developer, this book has what you're looking for! With its tutorial-like design, the text covers many basic and advanced topics for building dynamic database driven ASP.NET web applications. Assuring that you have a solid foundation, the text begins by exploring the basics of n-tier applications, databound custom controls, Http modules, and the ASP.NET AJAX extensions. Section II of the text takes all that was previously examined plus much more and puts it into practical use via the construction of ready to use controls for either standalone products or integration into your current project(s). ASP.NET Membership and Profile services are examined along with the AJAX application services enabling for seamless membership and profile integration into our highly rich AJAX-enabled web applications. Watch as the text seamlessly merges AJAX extenders and custom controls to build highly rich user experiences in a reusable object-oriented fashion. The design and construction of all objects and controls are discussed in full detail in a tutorial like format to achieve the desired goal - an in-depth understanding of the underlying technology so that you can not only use our projects but modify and design your own! All projects and controls built within the text make heavy use of AJAX technologies enabling a lucid understanding of real-world implementations. With its practical approach to constructing reusable object-oriented ASP.NET AJAX controls, ASP.NET AJAX Programming Tricks is a must for anyone with the desire to build or hone their ASP.NET AJAX programming skills. 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
Design Patterns Identification Using Similarity Scoring Algorithm with Weighting Score Extension
Authors: Martin Cichý, Jaroslav Jakubík
Venue: Proceeding of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering (2008)

The identification of used design pattern as a part of the reengineering process provides useful information about the structure of a system. One of the existing pattern detection methodologies is detection based on similarity scoring algorithm proposed by Nikolaos Tsansalis. In this paper we propose a modification of the approach, in which we evaluate each observed part of the design pattern separately in the relation to the essence of the design pattern. This leads us to weighting of the observed structural parts of a pattern, so the more important structural parts have higher contribution to the calculated score.
Automatic Extraction of Graph-Like Structures from Binary Images
Authors: Marcin Iwanowski
Venue: Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers (2008)

The paper describes a method for the analysis of the content of a binary image in order to find its structure. The class of images it deals with consists of images showing a groups of objects connected one to another forming a graph-like structure. Proposed method extracts automatically this structure from image bitmap and produces graph adjacency matrix describing it. The method is based on morphological image processing, skeletonization and labelling.
Intravoxel Fibre Structure of the Left Ventricular Free Wall and Posterior Left-Right Ventricular Insertion Site in Canine Myocardium Using Q-Ball Imaging
Authors: Hans Dierckx, Alan P. Benson, Stephen H. Gilbert, Michael E. Ries, Arun V. Holden, Henri Verschelde, Olivier Bernus
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

Q-ball imaging (QBI) is an established high-angular resolution diffusion MRI technique enabling to resolve intravoxel fibre structure. Here, we present a detailed study of myocardial fibre orientation using QBI. We compare standard diffusion tensor MRI (DTI) versus QBI in the canine left ventricular free wall (LVFW) and posterior left-right ventricular insertion site. Most voxels within the LVFW show high fractional anisotropy (FA), Gaussian diffusion profiles, and a single population of aligned fibres. In these, the difference between fibre helix angles estimated by DTI and QBI is below 5°. However, we show that reduced FA near the anterior papillary muscle in the LVFW and in most of the left-right ventricular fusion site correlates with non-Gaussian diffusion. The QBI orientation distribution functions (ODF) in these regions reveal complex intravoxel fibrous structure, which cannot be inferred using DTI. Extensive ODF maps of myocardial fibre orientation are presented and discussed for the first time to our knowledge.
Pattern generation using an ultra-discrete cellular automata model for thomas-murray reaction-diffusion system
Authors: Costin-Radu Boldea, Cristea Boboila
Venue: Proceedings of the 2nd conference on European computing conference (2008)

The paper present an alternative approach to the determination of a cellular automaton simulator for the stable patterns generation and the evolution of the mammals skin models. The proposed simulator uses the ultra-discrete version of an important reaction-diffusion systems arising from the bio-mathematics domain: the Thomas-Murray reaction-diffusion system.
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography
Authors: Victor Lempitsky, Michael Verhoek, J. Alison Noble, Andrew Blake
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

Automatic delineation of the myocardium in real-time 3D echocardiography may be used to aid the diagnosis of heart problems such as ischaemia, by enabling quantification of wall thickening and wall motion abnormalities. Distinguishing between myocardial and non-myocardial tissue is, however, difficult due to low signal-to-noise ratio as well as the efficiency constraints imposed on any algorithmic solution by the large size of the data under consideration. In this paper, we take a machine learning approach treating this problem as a two-class 3D patch classification task. We demonstrate that solving such task using random forests, which are the discriminative classifiers developed recently in the machine learning community, allows to obtain accurate delineations in a matter of seconds (on a CPU) or even in real-time (on a GPU) for the entire 3D volume.
System Development Life-Cycle Support for Service-Oriented Applications
Authors: George Feuerlicht
Venue: Proceeding of the 2006 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fifth SoMeT_06 (2006)

The emergence and wide adoption of Web Services standards and technologies represents a shift from component-based development that dominated enterprise computing over the last decade towards service-oriented architectures that are more suited to the highly distributed inter-enterprise applications. This trend towards service-oriented computing necessitates the re-evaluation of software development methodologies that are used in the construction of enterprise applications. With growing acceptance of service-oriented computing and increasing number of large-scale Web Services projects there is evidence that practitioners involved in implementing these solutions are paying only limited attention to how such applications should be designed. Frequently, the design of Web Services applications is driven by performance and scalability considerations, rather than sound software engineering principles. A comprehensive methodological framework is required to guide designers and developers of service-oriented applications through the various phases of software development life cycle with specific emphasis on producing stable, reusable and extendable services. In this paper we first describe the characteristics of the Service Oriented Architecture (SOA) and then consider the requirements for methodological support for the development of service-oriented applications. We identify the key differences between SOA and earlier software development approaches and comment on the suitability of existing analysis and design methods in the context of SOA. The main contribution of this paper is a clear analysis of the differences between component-based and service-oriented methodologies and the identification of key design objectives and guidelines for the development of service-oriented applications.
Run to the Hills! Ubiquitous Computing Meltdown
Authors: Pertti Huuskonen
Venue: Proceeding of the 2007 conference on Advances in Ambient Intelligence (2007)

We have seen the future of ubiquitous computing, and it's gloomy. While the various technologies keep advancing at a breakneck pace, and half of human race are already carrying computing systems with them, the goal of transparently integrating all those devices and networks to usable ubiquitous systems seems to be receding further away every day. We are seeing around us major shortcomings in terms of usability, interoperability, and security, and expect that the situation in integrated systems will only get worse. The next decade will bring wonderful advances in individual devices, services and technologies, but the overall picture is not as rosy. In this chapter, we discuss the drivers of this undesirable development, while also observing some signs of more positive trends.
Parallel computing in finite element applications
Authors: Ion T. Cârstea, Daniela P. Cârstea
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

This paper presents some models and paradigms in parallel scientific computing with emphasis on finite element applications in engineering. The motivation of this paper is the performance of the parallel computers and the broad range of finite element analysis for industrial problems. We present the inherent parallelism of the finite element method and algorithmic skeletons foe each stage of the finite element program.
The effects of a senegalese culturally-sensitive curriculum on senegalese adult immigrants' computer literacy learning and curricular engagement
Authors: Charles Kinzer
Venue:  (2008)

The ubiquitous nature of technology in our lives and the growing cultural diversity in American society call not only for an integration of technology and curriculum, but also for instructional designers and practitioners to understand how culture may affect learning about technological tools. While multicultural education theory and research have shown that culture influences learning, a gap exists in understanding the effects of culture on computer literacy learning. Through a quasi-experimental design with pre- and posttest, this study examined the effects of a Senegalese culturally sensitive computer literacy curriculum (SCCC) on Senegalese adult immigrants in New York City. Twenty-seven Senegalese adult immigrants were taught with a Senegalese culturally sensitive computer literacy curriculum, while a comparison group of 27 participants was taught with a non-Senegalese culturally sensitive computer literacy curriculum (NSCCC). A proverb from Senegalese oral culture, culturally relevant pictures, and a religious holiday context were used to introduce computer literacy concepts, carry out searches, and retrieve information from the Internet to design a document. T-tests and analysis of covariance (ANCOVA) were used to compare groups, with computer literacy performance on the pretest and computer literacy vocabulary knowledge as covariates. Results showed no statistically significant differences between groups on computer literacy performance or engagement. Subgroup analyses on the variables age, Internet use, years of schooling, and place of growing up in Senegal were subsequently conducted. No statistically significant results were found on the first three variables. However, on place of growing up, participants who grew up in towns performed better on the computer literacy posttest than participants who grew up in villages, regardless of the group they belonged to. With regard to engagement, participants who grew up in a Senegalese town were more engaged when taught with the SCCC, while participants who grew up in a village were more engaged when taught with the NSCCC. Various explanations for these results are offered, and implications for the study and further research areas are identified.
Neural Network Algorithm for Installation Error Identification Based on Bearing-only Target Motion Analyses
Authors: Lin Wen, Zhong Liu, Ya-Song Luo, Xue-Zhi Fu
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

It is quite strict with the degree of installation precision of photo-electricity device (PED) carried by unmanned aerial vehicle (UAV) when conducting bearing-only target motion analyses (BTMA), because of the existence of the installation error of PED, the precision of target location is bound to be affected. In order to solve this problem mentioned above, a neural network algorithm for installation error identification based on BTMA is put forward in this paper, consulting the target surveillance technology of PED to identify the installation error thought neural network algorithm, which is worthy to be put into practical applications.
A fuzzy approach used in expert system for optimal neutral grounding
Authors: Toader Dumitru, Lustrea Bucur, Blaj Constantin, Borlea Ioan, Haragus Stefan
Venue: Proceedings of the 10th WSEAS international conference on Fuzzy systems (2009)

In this paper an expert system for selecting the appropriate neutral grounding method in medium voltage distribution network is presented. The grounding method should provide the best response in the case of a single-grounding fault. To fulfill this requirement, the fuzzy rules are based on a simple mathematical model of the fault, in conjunction with operation experience in medium voltage networks. The expert system is very easy to use even by medium level education operators.
Making Finite-State Methods Applicable to Languages Beyond Context-Freeness via Multi-dimensional Trees
Authors: Anna Kasprzik
Venue: Proceeding of the 2009 conference on Finite-State Methods and Natural Language Processing: Post-proceedings of the 7th International Workshop FSMNLP 2008 (2009)

We provide a new term-like representation for multi-dimensional trees as defined by Rogers [1,2] which establishes them as a direct generalization of classical trees. As a consequence these structures can be used as input for finite-state applications based on classical term-based tree language theory. Via the correspondence between string and tree languages these applications can then be conceived to be able to process even some language classes beyond context-freeness.