ppxscal/embedding_network huggingface dataset:
A Method for Evaluating the Relationship among Four Perspectives of the Balanced Scorecard
Authors: Yumiko Taguchi, Takumi Kaneko, Tsutomu Tabe
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

The purpose of this study is to clarify a method for quantitatively evaluating the relationship among the four perspectives of the BSC. In order to establish the purpose of this study, we (1) clarify the methodology to quantitatively understand the vision and relationship among the four perspectives, (2) analyze the KPI data of a corporation model which is similar to practical business with the evaluation method shown in this study and (3) verify the practical effectiveness of the method based on the obtained results.
Improvements and analysis of nonlinear parallel behavioral models
Authors: Daniel D. Silveira, Pere Ll. Gilabert, Pedro M. Lavrador, José C. Pedro, Michael Gadringer, Gabriel Montoro, Eduard Bertran, Gottfried Magerl
Venue: International Journal of RF and Microwave Computer-Aided Engineering (2009)

This article performs an analysis of current limitations regarding the extraction of parallel behavioral models to reproduce the power amplifier (PA) nonlinear behavior and its dynamics. To overcome these limitations, a general preprocessing block that clearly improves the identification capabilities shown by classical parallel structures is proposed. It follows the principle of separating both static and dynamic nonlinear behavior of the PA to obtain a better identification performance. A comparison with common parallel configurations using linear estimation is performed, to highlight the benefits of using the preprocessing structure. Furthermore, a new nonlinear parallel structure using sub-band filtering techniques is also proposed. For the models extraction and comparison, four types of noise-free simulated data presenting different levels of nonlinearities and memory, as well as a measured signal obtained from a laboratory amplifier have been considered. &copy; 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009.
Study on the Framework of Urban Mass Transit Intelligent Comprehensive Monitoring System
Authors: Zhang Li Yan, Wang Fu Zhang, LIU Chun-Huang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The paper analyzes the development of information of urban mass transit system in recent years and sums up urban mass transit comprehensive monitoring system requirements. On this basis, puts forward comprehensive monitoring system features, which are full lines comprehensive monitor, all subsystems coordination in different conditions, information sharing and decision-making with high degree of autonomy, and so on. From the data flow and control flow point of view, three-layer system architecture was proposed, which are integrated decision-making layer,station’s decision-making layer and on-site control layer. Then each layer’s structure and function are analyzed. Through the simulation of systems operation modes in different running conditions, coordination and information interactive among every subsystem are analyzed.
A particle-particle hybrid method for kinetic and continuum equations
Authors: Sudarshan Tiwari, Axel Klar, Steffen Hardt
Venue: Journal of Computational Physics (2009)

We present a coupling procedure for two different types of particle methods for the Boltzmann and the Navier-Stokes equations. A variant of the DSMC method is applied to simulate the Boltzmann equation, whereas a meshfree Lagrangian particle method, similar to the SPH method, is used for simulations of the Navier-Stokes equations. An automatic domain decomposition approach is used with the help of a continuum breakdown criterion. We apply adaptive spatial and time meshes. The classical Sod's 1D shock tube problem is solved for a large range of Knudsen numbers. Results from Boltzmann, Navier-Stokes and hybrid solvers are compared. The CPU time for the hybrid solver is 3-4 times faster than for the Boltzmann solver.
Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting
Authors: Ching-Hsue Cheng, Liang-Ying Wei, You-Shyang Chen
Venue: Neurocomputing (2009)

Stock market investors value accurate forecasting of future stock price from trading systems because of the potential for large profits. Thus, investors use different forecasting models, such as the time-series model, to assemble a superior investment portfolio. Unfortunately, there are three major drawbacks to the time-series model: (1) most statistical methods rely on some assumptions about the variables; (2) most conventional time-series models use only one variable in forecasting; and (3) the rules mined from artificial neural networks are not easily understandable. To address these shortcomings, this study proposes a new model based on multi-stock volatility causality, a fusion adaptive-network-based fuzzy inference system (ANFIS) procedure, for forecasting stock price problems in Taiwan. Furthermore, to illustrate the proposed model, three practical, collected stock index datasets from the USA and Taiwan stock markets are used in the empirical experiment. The experimental results indicate that the proposed model is superior to the listing methods in terms of root mean squared error, and further evaluation reveals that the profits comparison results for the proposed model produce higher profits than the listing models.
Teaching CS to undergraduates at UPMC
Authors: Christian Queinnec
Venue: Proceedings of the 2007 International Lisp Conference (2007)

This presentation is about some experiments done at UPMC since 2000 in the CS undergraduate department. An initiation course, based on Scheme, was introduced offering some facilities for home work and stand alone offline studies. I will describe "Web continuations" that were invented for that occasion. Many of these innovations were ported to other languages or environments to grade students' programs en masse.
Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages
Authors: Ivan Kojadinovic
Venue: Computational Statistics Data Analysis (2010)

The agglomerative hierarchical clustering of continuous variables is studied in the framework of the likelihood linkage analysis method proposed by Lerman. The similarity between variables is defined from the process comparing the empirical copula with the independence copula in the spirit of the test of independence proposed by Deheuvels. Unlike more classical similarity coefficients for variables based on rank statistics, the comparison measure considered in this work can also be sensitive to non-monotonic dependencies. As aggregation criteria, besides classical linkages, permutation-based linkages related to procedures for combining dependent p-values are considered. The performances of the corresponding clustering algorithms are compared through thorough simulations. In order to guide the choice of a partition, a natural probabilistic selection strategy, related to the use of the gap statistic in object clustering, is proposed and empirically compared with classical ordinal approaches. The resulting variable clustering procedure can be equivalently regarded as a potentially less computationally expensive alternative to more powerful tests of multivariate independence.
Model-based monitoring and diagnosis of systems with software-extended behavior
Authors: Tsoline Mikaelian, Brian C. Williams, Martin Sachenbacher
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

Model-based diagnosis has largely operated on hard-ware systems. However, in most complex systems today, hardware is augmented with software functions that influence the system's behavior. In this paper, hard-ware models are extended to include the behavior of associated embedded software, resulting in more comprehensive diagnoses. Prior work introduced probabilistic, hierarchical, constraint-based automata (PHCA) to allow the uniform and compact encoding of both hard-ware and software behavior. This paper focuses on PHCA-based monitoring and diagnosis to ensure the robustness of complex systems. We introduce a novel approach that frames diagnosis over a finite time horizon as a soft constraint optimization problem (COP), allowing us to leverage an extensive body of efficient solution methods for COPs. The solutions to the COP correspond to the most likely evolutions of the complex system. We demonstrate our approach on a vision-based rover navigation system, and models of the SPHERES and Earth Observing One spacecraft.
Co-dispersion: a windowless approach to lexical association
Authors: Justin Washtell
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

We introduce an alternative approach to extracting word pair associations from corpora, based purely on surface distances in the text. We contrast it with the prevailing window-based co-occurrence model and show it to be more statistically robust and to disclose a broader selection of significant associative relationships - owing largely to the property of scale-independence. In the process we provide insights into the limiting characteristics of window-based methods which complement the sometimes conflicting application-oriented literature in this area.
Analytically solvable model for the entanglement via scattering-like mechanisms
Authors: J. Dajka, M. Mierzejewski, J. Łuczka
Venue: Quantum Information Processing (2009)

We study entanglement in a composite system built out of two interacting subsystems. The long-time entanglement is shown to be quantified in terms of the S-matrix of an auxiliary single-particle scattering process. We present exact results for a system consisting of a qubit and an oscillator as well as for the case of a pair of qubits and a single oscillator. We show that entanglement can precisely be controlled by tuning the parameters of the corresponding scattering process. Within tailored parameter regimes, the extremal entanglement is achieved when time of scattering is of order of the oscillator frequency inverse.
Mining Determining Sets for Partially Defined Functions
Authors: Dan A. Simovici, Dan Pletea, Rosanne Vetro
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

This paper describes an algorithm that determines the minimal sets of variables that determine the values of a discrete partial function. The Apriori-like algorithm is based on the dual hereditary property of determining sets. Experimental results are provided that demonstrate the efficiency of the algorithm for functions with up to 24 variables. The dependency of the number of minimal determining sets on the size of the specification of the partial function is also examined.
Anthropometric Measurement of the Hands of Chinese Children
Authors: Linghua Ran, Xin Zhang, Chuzhi Chao, Taijie Liu, Tingting Dong
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

This paper presents the results of a nationwide anthropometric survey conducted on children in China. Eight hand anthropometric dimensions were measured from 20,000 children with age ranged from 4 to 17 years old. Mean values, standard deviations, and the 5th, 95th percentile for each dimension were estimated. The dimension difference between age, gender and difference between Chinese and Japanese were analyzed. It was found that the mean values of the dimensions showed a gradual increase by age. The dimensions had no significant difference between genders for the children from 4 to 12, but the difference became significant for the children from 13 to 17. Comparison between Chinese and Japanese children showed that Chinese children tended to have relatively longer and broader hands than Japanese children. These data, previously lacking in China, can benefit the children's products design.
Knowledge-Based Rule Extraction from Self-Organizing Maps
Authors: Chihli Hung
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The technology of artificial neural networks has been proven to be well-suited for the mining of useful information from vast quantities of data. Most work focuses on the pursuit of accurate results but neglects the reasoning process. This "black-box" feature is the main drawback of artificial neural network mining models. However, the practicability of many mining tasks relies not only on accuracy, reliability and tolerance but also on the explanatory ability. Rule extraction is a technique for extracting symbolic rules from artificial neural networks and can therefore transfer the features of artificial neural networks from "black-box" into "white-box". This paper proposes a novel approach in which knowledge is extracted, in the forms of symbolic rules, from one-dimensional self-organizing maps. Three data sets are used in this paper. The experimental results demonstrate that this proposed approach not only equips the self-organizing map with an explanatory ability based on symbolic rules, but also provides a robust generalized ability for unseen data sets.
Verb valency semantic representation for deep linguistic processing
Authors: Aleš Horák, Karel Pala, Marie Duží, Pavel Materna
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

In the paper, we describe methods for exploitation of a new lexical database of valency frames (VerbaLex) in relation to Transparent Intensional Logic (TIL). We present a detailed description of the Complex Valency Frames (CVF) as they appear in VerbaLex including basic ontology of the VerbaLex semantic roles. TIL is a typed logical system developed for natural language semantic representation using TIL logical forms known as constructions. TIL is well suited to handle the difficult language phenomena such as temporal relations, intensionality and propositional attitudes. Here we make use of the long-term development of the Normal Translation Algorithm aimed at automatic translation of natural language sentences into TIL constructions. We examine the relations between CVFs and TIL constructions of predicate-argument structures and discuss the procedure of automatic acquisition of the verbal object constructions. The exploitation of CVFs in the syntactic parsing is also briefly mentioned.
Evaluation of Groundwater Resource in Huaian Region of Jiangsu Province, China
Authors: Gong-xin Chen, JinHui Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

With the development of industry and agriculture in Huaian of Jiangsu Province, China, the demand of high quality groundwater becomes larger and larger in recent years. Many problems, such as subsidence and groundwater level decreasing, appear more frequently than before. It is essential to evaluate the groundwater resource which is as a major water supply in the region. In this paper, based on the analysis of the geological background, the hydrogeological conditions are investigated. According to this investigation, the status and the distribution of groundwater exploitation are comprehensively analyzed, as well as the characteristic and change of groundwater depression in Huaian. Finally, some control measures are suggested in this paper to prevent groundwater depression occurring.
Poster abstract: Multi-channel interference in wireless sensor networks
Authors: Nadeem Ahmed, Salil Kanhere, Jha Sanjay
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

One solution for increasing the network throughput of a WSN is to use multiple orthogonal channels for transmission instead of a single channel. Multiple transmissions can take place on these orthogonal channels to increase the spectral efficiency. Typical WSN devices are equipped with a single transceiver with channel switching capabilities. These devices provide support for the use of multiple channels operating at different frequencies e.g., CC2420 radios used for MicaZ and Telos motes can use 16 different channels in the 2.4 GHz band.
Perceptual influence of approximate visibility in indirect illumination
Authors: Insu Yu, Andrew Cox, Min H. Kim, Tobias Ritschel, Thorsten Grosch, Carsten Dachsbacher, Jan Kautz
Venue: ACM Transactions on Applied Perception (TAP) (2009)

In this article we evaluate the use of approximate visibility for efficient global illumination. Traditionally, accurate visibility is used in light transport. However, the indirect illumination we perceive on a daily basis is rarely of high-frequency nature, as the most significant aspect of light transport in real-world scenes is diffuse, and thus displays a smooth gradation. This raises the question of whether accurate visibility is perceptually necessary in this case. To answer this question, we conduct a psychophysical study on the perceptual influence of approximate visibility on indirect illumination. This study reveals that accurate visibility is not required and that certain approximations may be introduced.
Research and Improvement on Bintree Multi-class Categorization Algorithm Based on SVM
Authors: Yan Hu, Li Min, Hao-yong Xiong
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

It's a hotspot to expend the research on support vector machine from a two-class issue to a multi-class one. Among all kinds of methods, Bintree multi-class text categorization algorithm based on support vector machine is more effective in training and sorting then others, and it works out the impartibility problem. So it is a good method. The dissertation systematically researches and analyses Bintree multi-class text categorization algorithm based on support vector machine, and improves it. That is, assemble first, and then sort them when the size of testing texts is too large. The aim is that after improvement the judgment of the testing text does not have to begin from the base crunode of Bintree, instead the testing text can be put into category function to be computed. The improvement can enhance the efficiency of text categorization and the probability of accurate categorization when the size of testing texts is too big and the quantity of sorted functions is too large.
Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity
Authors: Jack Gallant, Thomas Naselaris, Ryan Prenger, Kendrick Kay, Dustin Stansbury, Michael Oliver, An Vu, Shinji Nishimoto
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

A method for decoding the subjective contents of perceptual systems in the human brain would have broad practical utility for communication and as a brain-machine interface. Previous approaches to this problem in vision have used linear classifiers to solve specific problems, but these approaches were not general enough to solve complex problems such as reconstructing subjective perceptual states. We have developed a new approach to these problems based on quantitative encoding models that explicitly describe how visual stimuli are (nonlinearly) transformed into brain activity. We then invert these encoding models in order to decode activity evoked by novel images or movies, providing reconstructions with unprecedented fidelity. Here we briefly review these results and the potential uses of perceptual decoding devices.
Continuous Biosorption on Copper (II) and Industrial Wastewater Treatment by Saccharomyces Cerevisiae Biomass in Upflowing Reactor
Authors: Chunhui Fan, Zhuo Diao, Yingchao Zhang, Ying Zhang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Put dead immobilized saccharomyces cerevisiae biomass into column of continuous upflowing reactor, investigated immobilized materials on copper (Π) adsorption through batch adsorption procedures, breakthrough curves of different immobilized materials, initial pH values, flow rates and diameters of immobilized products were studied on copper (Π) adsorption, desorption tests and industrial wastewater treatment were analyzed. The results showed: saccharomyces cerevisiae was a perfect kind of adsorbent and feasible for removing on copper (Π) with low concentration in wastewater. The immobilized materials adsorbed little on copper (Π). Initial pH values, flow rates and diameters of immobilized saccharomyces cerevisiae products could affect copper (Π) adsorption to some extent. The desorption tests showed that 0.1mol•L-1 HCL was optimal. And immobilized saccharomyces cerevisiae biomass in continuous upflowing reactor were effective on industrial wastewater treatment.
Predicting on Scale Development of Higher Education Based on LM and ANN
Authors: Yaobin Liu, Qin Wang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The paper employs Granger causality test to analyze the inner relationships among factors that attribute to the scale development of higher education, and builds an Artificial Neural Network (ANN) and a Logistic Model (LM) to forecast the total demand and supply of the scale development of higher education in the process of urbanization in Jiangxi province. The results show: Firstly, the Granger causality test reveals that the key parameters that impact the scale development of higher education are the per capita GDP and the urbanization rate. Secondly, the elasticity analysis of demand to supply of the scale development of higher education reveals the development of higher education in Jiangxi province is entering the stage with E1 passed after 1999. Therefore, its development of higher education should be paid more attention to the quality, and the scale that is quickly expanding should be appropriately controlled.
Community Practices and Locative Media
Authors: Katharine S. Willis, Keith Cheverst, Claudia Mueller, Pablo Abend, Cornelius Neufeldt
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

The development of locative media applications is not simply about the physical location or social setting in which the interaction occurs, but rather about situating the media within a community of practice. This workshop will provide the environment for researchers to explore the potential for locative media applications to support community practices. The workshop will highlight the many open areas that require research attention, identify key problems that need to be addressed, and also discuss approaches for solving these issues. In particular the workshop will focus on appropriate methodologies for identifying requirements, evaluating behaviour and integrating locative media in specific real-world community structures.
Necessary and sufficient conditions for the existence of a class of partitions of a finite vector space
Authors: Olof Heden
Venue: Designs, Codes and Cryptography (2009)

Necessary and sufficient conditions for the existence of a partition of a finite vector space over the finite field GF(p), where p is a prime, into subspaces where all but p of the subspaces have the same dimension, are presented.