ppxscal/embedding_network huggingface dataset:
Review from a Design Process Perspective
Authors: W. Marquardt
Venue: Collaborative and Distributed Chemical Engineering. From Understanding to Substantial Design Process Support: Results of the IMPROVE Project (2008)

This section briefly summarizes and evaluates the results of IMPROVE from an application-oriented perspective. The application domain model, its use for the improvement of design processes, and its implications for the development of design support tools constitute the main focus. We conclude that the model framework has reached a high standard and constitutes a good basis for further refinement and extension. However, the model needs even more validation in industrial case studies. The discussion of this section is given from an academic viewpoint. The industrial relevance of design process results is given in Sect. 8.3. 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
DOA Estimation of Coherent Signal Using MUSIC Algorithm with Nonuniform Sampling
Authors: An Li, Shu Wang, Fu-ping Hu
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05 (2008)

The channel outputs are sampled on nonuniform sampling sets, and an analysis of the decorrelation based on nonuniform sampling (NUS) is investigated. It is demonstrated that MUSIC algorithm with NUS of various array elements may be capable of selecting the signal of interesting including the coherent group. NUS in the time domain is equivalent to alter the relative distance between sensors and leads to the radiant sources impinging the different arrays between two snapshots just as a virtual array spatial smoothing preprocessing. Simulations are conducted to verify that MUSIC based on nonuniformity of sensor sampling is effective to estimate direction-of-arrival (DOA) of incident signals in the coherent environment. Simultaneously, it's beneficial to greatly improve the estimation accuracy and angular resolution as a result of larger array aperture introduced but no angle-measure ambiguity and offer a better performance in lower SNR than weighted spatial smoothing (WSS) with MUSIC algorithm.
A Position-Based Propagator for the Open-Shop Problem
Authors: Jean-Noël Monette, Yves Deville, Pierre Dupont
Venue: Proceedings of the 4th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (2007)

The Open-Shop Problem is a hard problem that can be solved using Constraint Programming or Operation Research methods. Existing techniques are efficient at reducing the search tree but they usually do not consider the absolute ordering of the tasks. In this work, we develop a new propagator for the One-Machine Non-Preemptive Problem, the basic constraint for the Open-Shop Problem. This propagator takes this additional information into account allowing, in most cases, a reduction of the search tree. The underlying principle is to use shaving on the positions. Our propagator applies on one machine or one job and its time complexity is in $\mathcal{O}(N^2 \log N)$, where N is either the number of jobs or machines. Experiments on the Open-Shop Problem show that the propagator adds pruning to state-of-the-art constraint satisfaction techniques to solve this problem.
Designing combinational circuits with list homomorphisms
Authors: Walter Dosch
Venue: Journal of Computational Methods in Sciences and Engineering (2005)

We present a framework for the unifying high-level synthesis of tree-structured and iterative combinational networks. Based on the theory of list homomorphisms, we develop a standard implementation for tree-structured modules processing the input digits in parallel. The design is systematically specialized to iterative networks processing the input sequentially from the least resp. from the highest significant positions. Throughout the paper, we explicate functional methods for the transformational design of combinational circuits. We illustrate the approach with a parity generator module, a comparator module, and a priority resolution module.
Tamper-Proof Image Watermarking, Based on Existing Public Key Infrastructure
Authors: Geruta Kazakevičiūtė, Eugenijus Januškevičius, René Rosenbaum, Heidrun Schumann
Venue: Informatica (2005)

The paper describes methods for generating image watermark for asymmetric key based watermark embedding and detection scheme in wavelet domain. The proposed method combines DWT-based watermarking and the ability to verify watermark using reliable methods of asymmetric coding. The watermark scheme is developed to be directly incorporated into JPEG2000 image coding standard, while it can be used in existing image coding standards. In presented watermarking method the application of public key infrastructure is emphasized . We use PGP (Pretty Good Privacy) public key management scheme as the element for verification of sender's identity and also place of storing and retrieval of watermark detection keys. The most public key watermarking schemes use new, independent and cryptologically unverified keys. The reuse existing key verification and exchange infrastructure provides us cryptologically strong and verified keys.
Prediction of chaotic time series with NARX recurrent dynamic neural networks
Authors: Eugen Diaconescu
Venue: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information (2008)

The problem of chaotic time series prediction is studied in various disciplines now including engineering, medical and econometric applications. Chaotic time series are the output of a deterministic system with positive Liapunov exponent. A time series prediction is a suitable application for a neuronal network predictor. The NN approach to time series prediction is non-parametric, in the sense that it is not necessary to know any information regarding the process that generates the signal. It is shown that the recurrent NN (RNN) with a sufficiently large number of neurons is a realization of the nonlinear ARMA (NARMA) process. In this paper we present the nonlinear autoregressive network with exogenous inputs (NARX), the architecture, the training method, the input data to network, the simulation results.
The Virtual Hand Illusion and Body Ownership
Authors: Liat Raz, Patrice L. Weiss, Miriam Reiner
Venue: Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios (2008)

The illusion described here is well documented, and known as the rubber hand illusion (RHI). It is used to investigate perceptual processes and multisensory interactions. In the presented study we aimed to achieve the projected sensation using a paradigm designed to achieve a Virtual Hand Illusion (VHI). This allowed the exploration of novel stimuli including passive and active movement of the arm, self stimulus and haptic stimuli other than just brushing. Our results showed similar effects to the original RHI and demonstrated the advantage of active haptic stimulation for enhancement of body ownership.
Test Purpose Concretization through Symbolic Action Refinement
Authors: Alain Faivre, Christophe Gaston, Pascale Gall, Assia Touil
Venue: Proceedings of the 20th IFIP TC 6/WG 6.1 international conference on Testing of Software and Communicating Systems: 8th International Workshop (2008)

In a Model Driven Design process, model refinement methodologies allow one to denote system behaviors at several levels of abstraction. In the frame of a model-based testing process, benefits can be taken from such refinement processes by extracting test cases from the different intermediate models. As a consequence, test cases extracted from abstract models often have to be concretized in order to be executable on the System Under Test. In order to properly define a test concretization process, a notion of conformance relating SUTs and abstract models has to be defined. We define such a relation for models described in a symbolic manner as so-called IOSTSs (Input Output Symbolic Transition Systems) and for a particular kind of refinement, namely action refinement, which consists in replacing communication actions of abstract models with sets of sequences of more concrete communication actions. Our relation is defined as an extension of the ioco-conformance relation which relates SUTs and models whose communication actions are defined at the same level of abstraction. Finally we show from an example how a test purpose resulting from an abstract IOSTS-model can be concretized in a test purpose defined at the abstraction level of the SUT.
Accessing Geographical Information Systems over the World Wide Web&colon; Improving public participation in environmental decision-making
Authors: Steve Carver, Andy Evans, Richard Kingston, Ian Turton
Venue: Information Polity (2000)

This paper describes work carried out as part of the Economic and Social Research Council&rsquo;s Virtual Society&quest; Research Programme and presents some initial developments in the field of spatial decision support systems (SDSS) on the World Wide Web (WWW). Particular attention is paid to the development of Geographical Information Systems (GIS) and web-based SDSS with the principal aim of increasing public involvement in environmental decision-making. Discussion focuses on public access issues and the implications for online approaches to public participation. Examples of three online SDSS are given covering local, regional and national scale case studies.
Strategic Layout of Multi-cameras Based on a Minimum Risk Criterion
Authors: Ryota Narita, Kazuhito Murakami, Tadashi Naruse
Venue: RoboCup 2007: Robot Soccer World Cup XI (2008)

This paper proposes a method to allocate multiple cameras to a better or the best positions. In RoboCup Small Size League(SSL), two or more cameras are used, and we have to decide the layout of them at the venue. This paper gives a criterion which minimizes the risk, for example, the occlusion of a ball by robots, and solves it by using Fletcher-Reeves conjugate gradient algorithm. Experimental result shows the effectiveness of the proposed method.
Distance Based Ranking in Many-Objective Particle Swarm Optimization
Authors: Sanaz Mostaghim, Hartmut Schmeck
Venue: Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X (2008)

Optimization problems with many objectives open new issues for multi-objective optimization algorithms and particularly Particle Swarm Optimization. Many of the existing algorithms are able to solve problems of low number of objectives, but as soon as we increase the number of objectives, their performances get even worse than random search methods. This paper gives an overview on Multi-objective Particle Swarm Optimization when having many objectives and parameters. Furthermore, two new variants of MOPSO are proposed which are based on ranking of the non-dominated solutions. The proposed distance based ranking in MOPSO improves the quality of the solutions for even very large objective and parameter spaces. The quality of the new proposed MOPSO methods has been tested and compared to the random search and NSGA-II methods. The tests cover 3 to 20 objectives and 20 to 100 parameters.
A Multi-Level Probabilistic Neural Network
Authors: Ning Zong, Xia Hong
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

Based on the idea of an important cluster, a new multi-level probabilistic neural network (MLPNN) is introduced. The MLPNN uses an incremental constructive approach, i.e. it grows level by level. The construction algorithm of the MLPNN is proposed such that the classification accuracy monotonically increases to ensure that the classification accuracy of the MLPNN is higher than or equal to that of the traditional PNN. Numerical examples are included to demonstrate the effectiveness of proposed new approach.
Improving Data Integration through Disambiguation Techniques
Authors: Laura Po
Venue: Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems (2008)

In this paper Word Sense Disambiguation (WSD) issue in the context of data integration is outlined and an Approximate Word Sense Disambiguation approach (AWSD) is proposed for the automatic lexical annotation of structured and semi-structured data sources. 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 Note on Space-Time Interplay through Generosity in a Membrane Formation with Spatial Prisoner's Dilemma
Authors: Yoshiteru Ishida, Yuji Katsumata
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

The spatial Prisoner's Dilemma is divided into two stages: strategy selection and action (cooperation/defection) selection. This renewal allows a spatiotemporal strategy that determines the player's next action based not only on the adversary's history of actions (temporal strategy) but also on neighbors' configuration of actions. Several space-time parallelisms and dualisms would hold in this spatiotemporal generalization of strategy. Among them, this note focuses on the generosity (how many defections are tolerated). A temporal strategy involving temporal generosity, such as Tit for Tat (TFT), exhibited good performance such as noise tolerance. We report that a spatial strategy with spatial generosity can maintain a cluster of cooperators by forming a membrane that protects against defectors. The condition of membrane formation can be formulated with the spatial generosity exceeding a certain threshold determined by the number of neighborhoods.
Nondecreasing solutions of a quadratic integral equation of Urysohn type
Authors: W. G. El-Sayed, B. Rzepka
Venue: Computers Mathematics with Applications (2006)

Applying the technique associated with measures of noncompactness, we prove the existence of nondecreasing solutions of a quadratic integral equation of Urysohn type in the space of real functions defined and continuous on a closed bounded interval.
New Neighborhood Based Classification Rules for Metric Spaces and Their Use in Ensemble Classification
Authors: Jose-Norberto Mazón, Luisa Micó, Francisco Moreno-Seco
Venue: Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I (2007)

The k-nearest-neighbor rule is a well known pattern recognition technique with very good results in a great variety of real classification tasks. Based on the neighborhood concept, several classification rules have been proposed to reduce the error rate of the k-nearest-neighbor rule (or its time requirements). In this work, two new geometrical neighborhoods are defined and the classification rules derived from them are used in several real data classification tasks. Also, some voting ensembles of classifiers based on these new rules have been tested and compared.
A New Data Normalization Function for Multibiometric Contexts: A Case Study
Authors: Maria Marsico, Daniel Riccio
Venue: Proceedings of the 5th international conference on Image Analysis and Recognition (2008)

It has been not possible yet to identify a physical or behavioural feature able by itself to identify a person in a way satisfying the acceptability and reliability constraints imposed by real applications. As a consequence the present trend is towards multimodal systems. Data normalization problem is crucial when fusing results from different subsystems. We introduce a new normalization function, the mapping function, able to overcome the limitations of commonly used techniques. In this work we also test it on a real hierarchical system obtained by the novel combination schema of the three different biometries face, ear and fingerprint. Experimental results in the final part of our work provide a positive feedback about assertions within the body of the paper.
Level-Independent Notation for Microcomputer Programs
Authors: F. G. Duncan
Venue: IEEE Micro (1981)

A development ofalgebraic expressionsforms the basis ofa microprocessor programming notation that does not rely on mnemonics.
Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships
Authors: Daniel Trivellato, Arturas Mazeika, Michael H. Böhlen
Venue: Visual Data Mining: Theory, Techniques and Tools for Visual Analytics (2008)

This chapter presents VHHH: a visual data mining tool to compute and investigate hierarchical heavy hitters (HHHs) for two-dimensional data. VHHH computes the HHHs for a two-dimensional categorical dataset and a given threshold, and visualizes the HHHs in the three dimensional space. The chapter evaluates VHHH on synthetic and real world data, provides an interpretation alphabet, and identifies common visualization patterns of HHHs.
Assessment of Low Energies and Slice Depth in the Quantification of Breast Tomosynthesis
Authors: Christina M. Shafer, Ehsan Samei, Thomas Mertelmeier, Robert S. Saunders, Moustafa Zerhouni, Joseph Y. Lo
Venue: Proceedings of the 9th international workshop on Digital Mammography (2008)

This study attempts to assess the quantitative potential of breast tomosynthesis imaging. Tomosynthesis might be a feasible replacement for digital mammography, so it is worthwhile to consider whether it can be quantitative like computed tomography (CT), where the image pixel values are expressed in Hounsfield units. For this investigation, plastic tissue-equivalent breast phantoms with 10 lesions of varying density in the center along with a small density calibration phantom of 5 density-varying lesions were imaged under several different conditions. The measured voxel value for each lesion from a reconstructed slice was linearly rescaled based on the calibration phantom and then plotted against the known glandular fraction of each lesion. It was found that the two different energies and the three different lesion depths all produced linear voxel values versus glandularity relationships. Therefore, tomosynthesis has quantitative potential. However, in order to convert each 3D image's voxel values to values that can be interpreted as a certain glandular fraction, one must consider the x-ray tube energy, slice depth, and many other factors of the imaging system and the breast.
Stroke-Morphology Analysis Using Super-Imposed Writing Movements
Authors: Katrin Franke
Venue: Proceedings of the 2nd international workshop on Computational Forensics (2008)

Handwritten signatures play an important role in daily life. Consequently, there is a strong need for objective signature evaluation. This paper focuses on a new computational method for discovering and evaluating ink-trace characteristics related to the writing process. It aims (i) to provide a scientific basis for procedures applied in forensic casework and (ii) to derive advanced computational methods for the analysis of signature-stroke morphology. It work towards methods for inferring writer-specific behaviors from the residual ink trace. The respective micro-patterns, caused by biomechanical writing and physical ink-deposition processes, provide important clues for the analysis. These inner ink-trace characteristics of signatures, which are determined by the individual movements of a person, will be studied in depth, taking into account the effects of writing materials, such as the type of pen used. By means of recorded and super-imposed writing movements, ink traces are sampled, and local ink-trace characteristics are encoded in one feature vector per sample record. These data establish a sequence which faithfully reflects the spatial distribution of ink-trace characteristics and solves problems of methods previously available.
Neuro-Adaptive Formation Control of Multi-Mobile Vehicles: Virtual Leader Based Path Planning and Tracking
Authors: Z. Sun, M. J. Zhang, X. H. Liao, W. C. Cai, Y. D. Song
Venue: Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks (2007)

This paper presents a neuro intelligent virtual leader based approach for close formation of a group of mobile vehicles. Neural Network-based trajectory planning is incorporated into the leading vehicle so that an optimal reference path is generated automatically by the virtual leader, which guides the whole team vehicles to the area of interest as precisely as possible. The steering control scheme is derived based on the structural properties of the vehicle dynamics. Simulation on multiple vehicles formation is conducted as a verification of the effectiveness of the proposed method.
Subjective Evaluation Method for Speech-Based Uni- and Multimodal Applications
Authors: Benjamin Weiss, Ina Wechsung, Anja Naumann, Sebastian Möller
Venue: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (2008)

Questionnaires are a widespread method for subjective usability evaluation. Concerning speech-based systems the SASSI questionnaire is probably the most common one. This paper examines SASSI results obtained by different studies in order to evaluate its reliability and validity. Furthermore, it is investigated if SASSI is appropriate also for multimodal systems. The results indicate that some SASSI sub-scales need a revision.
Number forms in the brain
Authors: Joey Tang, Jamie Ward, Brian Butterworth
Venue: Journal of Cognitive Neuroscience (2008)

Mental images of number lines, Galton's “number forms” (NF), are a useful way of investigating the relation between number and space. Here we report the first neuroimaging study of number-form synesthesia, investigating 10 synesthetes with NFs going from left to right compared with matched controls. Neuroimaging with functional magnetic resonance imaging revealed no difference in brain activation during a task focused on number magnitude but, in a comparable task on number order, synesthetes showed additional activations in the left and right posterior intraparietal sulci, suggesting that NFs are essentially ordinal in nature. Our results suggest that there are separate but partially overlapping neural circuits for the processing of ordinal and cardinal numbers, irrespective of the presence of an NF, but a core region in the anterior intraparietal sulcus representing (cardinal) number meaning appears to be activated autonomously, irrespective of task. This article provides an important extension beyond previous studies that have focused on word-color or grapheme-color synesthesia.
A New Approach for a Lightweight Multidimensional TV Content Taxonomy: TV Content Fingerprinting
Authors: Javier Recuenco, Noelia Rojo, David Bueno
Venue: Proceedings of the 6th European conference on Changing Television Environments (2008)

In order to support the demands of fast and precise TV categorization for a personalized Electronic Programming Guide (EPG), the authors propose a new multidimensional taxonomy for the TV content. In addition to being much more lightweight in nature than the approach proposed by TV Anytime, with this method, a much more streamlined format is generated, which attempts to balance sensitive and detailed categorization criteria with computer efficiency in order to fulfill the demands of the recommender system. Furthermore, the authors propose a mechanism to obtain a quick and efficient real-time comparison of specific TV content with an alternative system called TV content fingerprinting