ppxscal/embedding_network huggingface dataset:
Application of Analysis of Variance to Assessment of Influence of Sound Feature Groups on Discrimination between Musical Instruments
Authors: Alicja Wieczorkowska, Agnieszka Kubik-Komar
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

In this paper, the influence of the selected sound features on distinguishing between musical instruments is presented. The features were chosen basing on our previous research. Coherent groups of features were created on the basis of significant features, adding complementary ones according to the parameterization method applied, to constitute small, homogenous groups. Next, we investigate (for each feature group separately) if there exist significant differences between means of these features for the studied instruments. We apply multivariate analysis of variance along with post hoc analysis in the form of homogeneous groups, defined by mean values of the investigated features for our instruments. If a statistically significant difference is found, then the homogenous group is established. Such a group may consist of one instrument (distinguished by this feature), or more (instruments similar wrt. this feature). The results show which instruments can be best discerned by which features.
Fusion mobile: a case study on designing a social networking system with communities
Authors: Kristine Visanen, Aapo Rista
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

This paper introduces Fusion Mobile, an application supporting community-based social networking and P2P file sharing for mobile devices running the S60 platform. In this case study, the Fusion Mobile prototype is used to examine the design process in order to provide insights into mobile social networking application development, as well as the pros and cons of involving communities in the design process.
Constraint-aware event stream processing
Authors: Ming Li, Murali Mani, Elke A. Rundensteiner, Tao Lin
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

Event stream processing (ESP) [7][2][5][6] technologies enable enterprise applications such as algorithmic trading, RFID data processing, fraud detection and location-based services in telecommunications. The key applications of the ESP technologies rely on the detection of certain event patterns (usually corresponding to the exceptional cases in the application domain). Alerts will be raised after the matched pattern has been detected in the form of system notifications or triggers. Such functionality is sometimes referred to as the situation alert, which corresponds to many key tasks in enterprises computing.
Plugging the Holes: Increasing the Impact of User Experience Evaluations
Authors: Sachin S. Yambal, Sushmita Munshi
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

The principal objective of this paper is to demonstrate the APRICOT methodology that aims to streamline and increase the effectiveness of user experience initiatives within a development project and in the final solution. User Experience (UE) evaluations, both heuristic based and usability testing based are important skills and a crucial part of a practitioner's tool kit. They showcase the inadequacies in an application or system. Close inspection of projects which have used User Experience evaluations reveal that only a small percentage of User Experience recommendations actually make it into the final product. This substantially reduces the ROI for User Experience contribution. The APRICOT concept is work in progress and aims to make User Experience evaluation more effective by better integrating UE practitioners and aligning the processes and methodology with one used by development teams.
Enlightenment of Environmental Regulation Policy and Practice of Developed Countries
Authors: Li Chuang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

The interests of sustainable development of China's economy requires us to protect the environment, cherish resources, but the reality of international competitiveness requires us to maintain a competitive advantage, therefore, the coordinate development between economy and environment protection is our inevitable choice. Strict environmental regulation policies of developed countries are not only failed to damage their international competitiveness of enterprises, but effectively stimulate technological innovation and management innovation. This paper deeply analyzed the evolution process of environmental regulation policy of developed countries, and provided references for China's decision-making in environmental regulation policy reform according to the practice of United States.
Applying Queuing Models for Assessing Network Services Dependability Parameters in Modern Information Systems
Authors: Lukasz Bagrij, Katarzyna Michalska, Marek Woda
Venue: Proceedings of the 2009 Fourth International Conference on Dependability of Computer Systems (2009)

Due to the continuous growth of Internet users, computer systems become more powerful to follow still rising needs. Modern structures so-called Information Systems encompass not only more reliable hardware, but first of all multifunctional and thus highly compound software. On one hand, this gives great opportunity to realize very complex tasks through a network, even such as commercial business services. On the other hand, this introduces many issues with dependability of such systems that management and control of these infrastructures becomes extremely hard. Adapting well-studied knowledge on systems dependability to the new circumstances, we emphasize role of performance as one of dependability properties. Our response for requirements of efficient means for optimization and forecasting of Information Systems is to revitalize queuing models concept and combine them with computer simulation techniques in order to obtain scalable, fast and detailed enough analysis methodology.
An Empirical Performance Metrics Measurement and Analysis of Software Platforms for Implementation of Web Services
Authors: K. Velmurugan, M. A. Maluk Mohamed
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Web services play a vital role in the paradigms of distributed computing and grid computing. Web services can be implemented in different platforms, but the most commonly used platforms are .NET and J2EE as they provide a wide variety of tools for creation and integration of web services to any existing business application. The selection of appropriate platform for implementation is purely based on performance offered by the particular platform. This paper focuses on analyzing the performance of a generic model composed of three tiers for implementing and consuming web services. This generic model is implemented with four different combinations of .NET and J2EE in different tiers. The analysis of performance is carried out with a novel set of four performance metrics proposed and the metrics are based on time spent for actual response and network traffic involved between the different tiers. The performance metrics measurement is observed on the model to study performance of platforms deployed for implementation of web services.
Face Reconstruction from Skull Shapes and Physical Attributes
Authors: Pascal Paysan, Marcel Lüthi, Thomas Albrecht, Anita Lerch, Brian Amberg, Francesco Santini, Thomas Vetter
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

Reconstructing a person's face from its skeletal remains is a task that has over many decades fascinated artist and scientist alike. In this paper we treat facial reconstruction as a machine learning problem. We use separate statistical shape models to represent the skull and face morphology. We learn the relationship between the parameters of the models by fitting them to a set of MR images of the head and using ridge regression on the resulting model parameters. Since the facial shape is not uniquely defined by the skull shape, we allow to specify target attributes, such as age or weight. Our experiments show that the reconstruction results are generally close to the original face, and that by specifying the right attributes the perceptual and measured difference between the original and the predicted face is reduced.
Toward Recognizing Two Emotion States from ECG Signals
Authors: Cheng Defu, Liu Guangyuan, Cai Jing
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Emotion recognition based on physiological signals which can reflect people’s real emotion correctly is more robust and objective than any other ways, so it has a bright prospect of research and applications. This paper may firstly carry out the work of feature extraction for electrocardiogram (ECG) obtained from 391 subjects containing two emotion states (joy, sad) by the method of discrete wavelet transform (DWT). Then feature selection could be performed using the method on the combination of Particle Swarm Optimization (PSO) and KNN classifier. Eventually, the optimal feature subset could be found and the total recognition rate reached 84.45%. Experiment and simulation results showed that it is feasible and efficiency that using PSO and KNN to recognize emotion states by physiological signals.
Research on Computation Model and Key Parameters of AIRS Supervised Classification in Remote Sensing Images
Authors: Yundong Wu, Lichuan Geng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

A framework of remote sensing images classification based on Artificial Immune Recognition System (AIRS) is present in this papers. The relation between key parameters and the classification results are analyzed. As shown in the experiment results, the new framework inherits robustness of AIRS relative to key parameter. Experimental results show that this framework is better than Maximum Likelihood Classification method.
Fault Detection of Satellite Network Based on MNMP
Authors: Li Hang, Du Qingdong, Luo Fengbing
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

The fault detection of satellite network is required to collect data of managed objects via network management protocol. Therefore, it is a premise of fault management of satellite network to choose a network management protocol designed according to the feature of satellite network. Due to the uniqueness of satellite network, the current network management protocol and standard, such as simple network management protocol (SNMP) and CMIP, are both directly unsuitable for the applying of fault detection of satellite network. By analysis of multiplex network management protocol (MNMP), this paper focuses on the discussion of the MNMP application in the fault detection of satellite network. Besides, in order to investigate the performance of fault detection based on MNMP, this paper also gives a performance test on several means of data acquisition of MNMP, and compares as well as analyze it with SNMP.
Learning finite-state models for language understanding
Authors: David Picó, Enrique Vidal
Venue: Proceedings of the International Workshop on Finite State Methods in Natural Language Processing (1998)

Language Understanding in limited domains is here approached as a problem of language translation in which the target language is a formal language rather than a natural one. Finite-state transducers are used to model the translation process. Furthermore, these models are automatically learned from training data consisting of pairs of natural-language/formal-language sentences. The need for training data is dramatically reduced by performing a two-step learning process based on lexical/phrase categorization. Successful experiments are presented on a task consisting in the "understanding" of Spanish natural-language sentences describing dates and times, where the target formal language is the one used in the popular Unix command "at".
A unified methodology for the efficient computation of discrete orthogonal image moments
Authors: G. A. Papakostas, D. E. Koulouriotis, E. G. Karakasis
Venue: Information Sciences: an International Journal (2009)

A novel methodology is proposed in this paper to accelerate the computation of discrete orthogonal image moments. The computation scheme is mainly based on a new image representation method, the image slice representation (ISR) method, according to which an image can be expressed as the outcome of an appropriate combination of several non-overlapped intensity slices. This image representation decomposes an image into a number of binary slices of the same size whose pixels come in two intensities, black or any other gray-level value. Therefore the image block representation can be effectively applied to describe the image in a more compact way. Once the image is partitioned into intensity blocks, the computation of the image moments can be accelerated, as the moments can be computed by using decoupled computation forms. The proposed algorithm constitutes a unified methodology that can be applied to any discrete moment family in the same way and produces similar promising results, as has been concluded through a detailed experimental investigation.
The Adobe Photoshop CS4 Layers Book: Harnessing Photoshop's most powerful tool
Authors: Richard Lynch
Venue:  (2009)

MasterPhotoshop CS4 with this visual, hands-on guide to using layers, under the expert guidance of digital imaging specialist Richard Lynch. Layers, Photoshop's most powerful feature, is the core of a nondestructive image-editing workflow.Step-by-step instructions and practical examples illustrate how to. * Polish: correct and enhance color, fix composition problems, and repair damage or flaws * Manipulate: isolate image areas for changes, adjustments and experimental concepts* Understand: use all forms of layer blending, including transparency, clipping masks, opacity/fill, layer masks, layer modes, channel targeting, Blend If, and Effects/StylesThe accompanying DVD comes complete with a generous library of practical actions based on techniques from the book that add functional power to Photoshop, along with practice images for all the exercises in the book. This focused, highly accurate, comprehensive, and practical guide offers invaluable advice for all users of Adobe Photoshop CS4. * Unleash the full power of Layers in Photoshop for limitless non-destructive creative image editing* Step-by-step real-life projects take you through every aspect of the layers tool, including masking, blending, and modes, all in the context of a practical photoshop workflow* Ancillary CD contains all the practice images used in the book 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
Defining a Universal Actor Content-Element Model for Exploring Social and Information Networks Considering the Temporal Dynamic
Authors: Claudia Müller, Benedikt Meuthrath, Sabina Jeschke
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

The emergence of the Social Web offers new opportunities for scientists to explore open virtual communities. Various approaches have appeared in terms of statistical evaluation, descriptive studies and network analyses, which pursue an enhanced understanding of existing mechanisms developing from the interplay of technical and social infrastructures. Unfortunately, at the moment, all these approaches are separate and no integrated approach exists. This gap is filled by our proposal of a concept which is composed of a universal description model, temporal network definitions, and a measurement system. The approach addresses the necessary interpretation of Social Web communities as dynamic systems. In addition to the explicated models, a software tool is briefly introduced employing the specified models. Furthermore, a scenario is used where an extract from the Wikipedia database shows the practical application of the software.
Parallel Algorithms for Constructing Fellow Automata of Regular Expressions
Authors: Sun Yuqiang, Yang Ruimin, Gu Yuwan, You Jing
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

A parallel algorithm for translating regular expression into its Follow automata is proposed in the paper. Firstly, we construct the Thompson automata of a regular expression. Then, the Glushkov automata are achieved by removing the path and the equivalent states which have equivalent relations are merged into one. So we can get a smaller finite automata, named Follow automata. Finally the parallel processing of algorithm is described in detail with an example.
An alignment-capable microplanner for natural language generation
Authors: Hendrik Buschmeier, Kirsten Bergmann, Stefan Kopp
Venue: Proceedings of the 12th European Workshop on Natural Language Generation (2009)

Alignment of interlocutors is a well known psycholinguistic phenomenon of great relevance for dialogue systems in general and natural language generation in particular. In this paper, we present the alignment-capable microplanner SPUD prime. Using a priming-based model of interactive alignment, it is flexible enough to model the alignment behaviour of human speakers to a high degree. This will allow for further investigation of which parameters are important to model alignment and how the human--computer interaction changes when the computer aligns to its users.
Configuration and Dynamic Adaptation of AAL Environments to Personal Requirements and Medical Conditions
Authors: Reiner Wichert
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

AAL concepts have been shaping scientific and market-oriented research landscapes for many years now [1]. Population development demands have made residing and receiving care in one's own home a better alternative than institutionalized inpatient care. This reality has been reflected in open calls for proposals, as well as in numerous European and domestic projects, and has resulted in a considerable number of applications and product concepts with AAL ties. Unfortunately, it is already foreseeable that these project results will not be implemented in a comprehensive fashion, as individual applications and products can only be combined into a comprehensive solution with a great deal of effort and potential cost. Through stereotypical projects and prototypes, as well as concrete usage scenarios, this paper will extrapolate the added value resulting from integrating individual products into coherent comprehensive solutions within the framework of the complete supply and value chain. Business and technological obstacles will be identified and pathways shown by which AAL concepts and visions can lead to a better reality for all of those concerned, from healthcare recipients to those bearing the costs.
Using Hoarding to Increase Availability in Shared File Systems
Authors: Jochen Hollmann, Per Stenstrom
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Many mobile devices have reached the point where the users' (active) working set is smaller than the amount of storage available and that trend is likely to continue. Currently these resources are made available for recording new data, but we think that we could make better use of this capacity. Hoarding previously not accessed data could give better data coverage in cases of disconnected operation, when wireless networks are not available or access to them is expensive.We gathered a trace from a university file system used by more than 5000 people over a period of 16 months. This trace is used to drive a simulation model of distributed file systems. This paper studies a novel hoarding scheme that uses the access profile of other users to predict what files a user would need in the future. This hoarding scheme is shown to avoid between 30% and 75% of remote file accesses to files that are accessed for the first time. Furthermore, hoarded but not used data can be expired, because we note experimentally that the population shifts focus each month.
A General Testability Theory
Authors: Ismael Rodríguez
Venue: Proceedings of the 20th International Conference on Concurrency Theory (2009)

We present a general framework allowing to classify testing problems into five testability classes. Classes differ in the number of tests we must apply to precisely determine whether the system is correct or not. The conditions that enable/disable finite testability are analyzed. A general method to reduce a testing problem into another is presented. The complexity of finding complete test suites and measuring the suitability of incomplete suites is analyzed.
Computability of Continuous Solutions of Higher-Type Equations
Authors: Martín Escardó
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

Given a continuous functional $f \colon X \to Y$ and y ¿ Y, we wish to compute x ¿ X such that f(x) = y, if such an x exists. We show that if x is unique and X and Y are subspaces of Kleene---Kreisel spaces of continuous functionals with X exhaustible, then x is computable uniformly in f, y and the exhaustion functional $\forall_X \colon 2^X \to 2$. We also establish a version of the above for computational metric spaces X and Y, where is X computationally complete and has an exhaustible set of Kleene---Kreisel representatives. Examples of interest include functionals defined on compact spaces X of analytic functions.
Modelling Hodgkin-Huxley Neurons Interaction
Authors: Gianni Mattioli, Massimo Scalia
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

This paper deals with the analysis of a nonlinear dynamical system which models the axons interaction. A system with a source made by a sequence of high pulses (spike train) is analyzed. It is shown that on short range interval close to the initial time there is a chaotic behavior in the phase space, even if the solution asymptotically tends to a constant value.
Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI
Authors: Peter S. Jørgensen, Rasmus Larsen, Kristian Wraae
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

This paper presents a method for unsupervised assessment of visceral and subcutaneous adipose tissue in the abdominal region by MRI. The identification of the subcutaneous and the visceral regions were achieved by dynamic programming constrained by points acquired from an active shape model. The combination of active shape models and dynamic programming provides for a both robust and accurate segmentation. The method features a low number of parameters that give good results over a wide range of values.The unsupervised segmentation was compared with a manual procedure and the correlation between the manual segmentation and unsupervised segmentation was considered high.