ppxscal/embedding_network huggingface dataset:
Shape Retrieval by Inexact Graph Matching
Authors: Benoit Huet, Andrew D. J. Cross, Edwin R. Hancock
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

This paper describes a graph-matching technique for recognising line-pattern shapes in large image databases. The methodological contribution of the paper is to develop a Bayesian matching algorithm that uses edge-consistency and node attribute similarity. This information is used to determine the a posteriori probability of a query graph for each of the candidate matches in the database. The node feature-vectors are constructed by computing normalised histograms of pairwise geometric attributes. Attribute similarity is assessed by computing the Bhattacharyya distance between the histograms. Recognition is realised by selecting the candidate from the database which has the largest a posteriori probability. We illustrate the recognition technique on a database containing 2500 line patterns extracted from real-world imagery. Here the recognition technique is shown to significantly outperform a number of algorithm alternatives.
Development of a usability evaluation framework with quality function deployment: From customer sensibility to product design
Authors: Beom Suk Jin, Yong Gu Ji, Kyeyoun Choi, Gilsoo Cho
Venue: Human Factors in Ergonomics Manufacturing (2009)

The aim of this research was to develop a usability evaluation model based on customer sensation using quality function deployment (QFD), which evaluates the relationship between consumer sensation and usability among the physical design factors of dishwashers. Four aspects of the evaluation model were analyzed with QFD: overall sensation factors, detail sensation factors, usability evaluation factors, and physical design factors of products in 3 sequential processes. The sensation evaluation factors and the usability evaluation factors were created from the results of the sensation and usability tests. Moreover, experts and manufacturers were involved in selecting the physical design factors. With the evaluation model using these 4 aspects, physical design factors influencing user sensation were generated. These factors were Label Icon, Rack Size, Shape of Knob, and LCD size. In addition, the degree of influences was tested and design guidelines derived from the final physical design factors were generated. &copy; 2009 Wiley Periodicals, Inc.
The Role of Telemedicine in Helping to Manage Hypertension - A Review of Health Outcomes and Cost Benefit
Authors: E. F. Grange, V. Warren, S. Khemka, A. N. Theodorou, A. J. Vallance-Owen
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

Objective: To assess what is known about the use of telemedicine in the diagnosis and treatment of hypertension Methods: Four electronic databases were searched for published randomised controlled trials (RCTs) comparing telemedicine and conventional interventions for hypertension in which the outcome measure used was one or more of: health outcome, proxy health outcome, patient compliance or cost. Studies identified were subjected to narrative review.Results: Thirty three papers were identified reporting twenty RCTs. Of these, nine were suitable for inclusion. There is limited evidence that telemedicine can contribute to controlling hypertension in known patients. There is very limited evidence that it can contribute to confirming a suspected diagnosis of hypertension or to reducing healthcare costs. Conclusions: The use and evaluation of telemedicine in the diagnosis and management of hypertension is underdeveloped.
Decidability and Undecidability in Probability Logic
Authors: Sebastiaan A. Terwijn
Venue: Proceedings of the 2009 International Symposium on Logical Foundations of Computer Science (2009)

We study computational aspects of a probabilistic logic based on a well-known model of induction by Valiant. We prove that for this paraconsistent logic the set of valid formulas is undecidable.
Broad-band tunable wavelength converter based on degenerate four-wave mixing in a highly nonlinear photonic crystal fiber
Authors: Jianguo Liu, Tee Hiang Cheng, Lifang Xue
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

We experimentally investigated wavelength conversion of the coherent and incoherent signal based on degenerate four-wave mixing (FWM) in a highly nonlinear photonic crystal fiber (HNPCF). In our experiment, the maximum conversion efficiencies of -11.23dB and -11.45dB, 3dB conversion bandwidths of 40.6nm and 38.06nm for coherent and incoherent signal are achieved in a 20m-long HNPCF, respectively
A case for hybrid sensor networks
Authors: Gaurav Sharma, Ravi R. Mazumdar
Venue: IEEE/ACM Transactions on Networking (TON) (2008)

In this paper, we investigate the use of limited infrastructure, in the form of wires, for improving the energy efficiency of a wireless sensor network. We call such a sensor network--a wireless sensor network with a limited infrastructural support--a hybrid sensor network. The wires act as short cuts to bring down the average hop count of the network, resulting in a reduced energy dissipation per node. Our results indicate that adding a few wires to a wireless sensor network can not only reduce the average energy expenditure per sensor node, but also the nonuniformity in the energy expenditure across the sensor nodes.
Independent Component Analysis of Real Data
Authors: Malaya K. Nath
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

Independent component analysis (ICA) is a statistical method used to discover hidden factors (sources or features) from a set of measurements or observed data such that the sources are maximally independent. The ICA algorithms are able to separate the sources according to the distribution of the data. The original Infomax algorithm for blind separation is better suited to estimation of super-Gaussian sources. FastICA can separate the sources having non-Gaussian distributions. Real data (e.g. functional magnetic resonance imaging (fMRI) data and speech signal obtained at cocktail party problem) is having Gaussian and non-Gaussian distributions. So existing ICA algorithms such as the Infomax, FastICA can not separate the independent components from the real data. For proper separation of independent components we have tried with different ICA algorithms. Recently developed Combi ICA can separate the independent components from real data faithfully. Because the Combi ICA can separate the sources having non-Gaussian and Gaussian distributions. In this paper, we find the independent components by a number of ICA algorithms from which Efficient FastICA and Combi ICA are found to be good because the accuracy in terms of the variance of the Gain matrix (Amari Performance Index) is more as compared to others. In our work we 1) used the kurtosis and negentropy to know the distribution of data 2) review the analysis methods for finding independent components from real data (specially fMRI data), 3) comparison of different ICA algorithms. The purpose of this work is to have an idea about the problems, challenges and methods about analysis of independent components from real data.
Can Component/Service-Based Systems Be Proved Correct?
Authors: Christian Attiogbé
Venue: Proceedings of the 35th Conference on Current Trends in Theory and Practice of Computer Science (2009)

Component-oriented and service-oriented approaches have gained a strong enthusiasm in industries and academia with a particular interest for service-oriented approaches. A component is a software entity with given functionalities, made available by a provider, and used to build other application within which it is integrated. The service concept and its use in web-based application development have a huge impact on reuse practices. Accordingly a considerable part of software architectures is influenced; these architectures are moving towards service-oriented architectures. Therefore applications (re)use services that are available elsewhere and many applications interact, without knowing each other, using services available via service servers and their published interfaces and functionalities.Industries propose, through various consortium, languages, technologies and standards. More academic works are also undertaken concerning semantics and formalisation of components and service-based systems.We consider here both streams of works in order to raise research concerns that will help in building quality software.Are there new challenging problems with respect to service-based software construction, to service construction, an especially to software verification? Besides, what are the links and the advances compared to distributed systems?A specific emphasis should be put on correctness properties of services and on service-based systems in order to ensure their quality and therefrom the durability of information systems and applications. Therefore an important research issue is to reason on the correctness of software applications that will dynamically use or embed existing services. For example, additionally to the formal specification of its functionalities, a service may embed its specific properties and the certificate/proof that guarantees these properties.
Porous Media Reconstruction Using a Cross-Section Image and Multiple-Point Geostatistics
Authors: Ting Zhang, Detang Lu, Daolun Li
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

Multiple-point geostatistics has been proved to be a powerful tool to capture curvilinear structures or complex features in training images. The three-dimensional reconstruction of porous media is of great significance to the research of mechanisms of fluid flow in porous media. A method using a cross-section image and multiple-point geostatistics to reconstruct the three-dimensional structures of porous media is proposed. A cross-section image of porous media with the resolution of micron is used as an original training image. Using multiple-point geostatistics and extracted sample points, each reconstructed image is taken as a new training image to reconstruct its next layer. Stacking all the reconstructed layers successively, a three-dimensional image of porous media is generated. This method is tested on the three-dimensional reconstruction of sandstone. The structures of porous media reconstructed through this method are similar to those of real volume data obtained by micro-CT scanning.
Non-crossing quantile regression via doubly penalized kernel machine
Authors: Jooyong Shim, Changha Hwang, Kyung Ha Seok
Venue: Computational Statistics (2009)

Quantile regression provides a more complete statistical analysis of the stochastic relationships among random variables. Sometimes quantile regression functions estimated at different orders can cross each other. We propose a new non-crossing quantile regression method using doubly penalized kernel machine (DPKM) which uses heteroscedastic location-scale model as basic model and estimates both location and scale functions simultaneously by kernel machines. The DPKM provides the satisfying solution to estimating non-crossing quantile regression functions when multiple quantiles for high-dimensional data are needed. We also present the model selection method that employs cross validation techniques for choosing the parameters which affect the performance of the DPKM. One real example and two synthetic examples are provided to show the usefulness of the DPKM.
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification
Authors: N. Saravanan, K. I. Ramachandran
Venue: Expert Systems with Applications: An International Journal (2009)

The wavelet transform (WT) is used to represent all possible types of transients in vibration signals generated by faults in a gear box. It is shown that the transform provides a powerful tool for condition monitoring and fault diagnosis. The vibration signal of a spur bevel gear box in different conditions is used to demonstrate the application of various wavelets in feature extraction. In present work, a discrete wavelet, Daubechies wavelets (db1-db15) is used for feature extraction and their relative effectiveness in feature extraction is compared. The major steps in pattern classification are feature extraction and classification. This paper investigates the use of discrete wavelets for feature extraction and a Decision Tree for classification. J48 Decision Tree algorithm has been used for feature selection as well as for classification. This paper illustrates the powerfulness and flexibility of the discrete wavelet transform to decompose linear and non-linear processing of vibration signal.
Synthesizing a representative critical path for post-silicon delay prediction
Authors: Qunzeng Liu, Sachin S. Sapatnekar
Venue: Proceedings of the 2009 international symposium on Physical design (2009)

Several approaches to post-silicon adaptation require feedback from a replica of the nominal critical path, whose variations are intended to reflect those of the entire circuit after manufacturing. For realistic circuits, where the number of critical paths can be large, the notion of using a single critical path is too simplistic. This paper overcomes this problem by introducing the idea of synthesizing a representative critical path (RCP), which captures these complexities of the variations. We first prove that the requirement on the RCP is that it should be highly correlated with the circuit delay. Next, we present two novel algorithms to automatically build the RCP. Our experimental results demonstrate that over a number of samples of manufactured circuits, the delay of the RCP captures the worst case delay of the manufactured circuit. The average prediction error of all circuits is shown to be below 2.8% for both approaches. For both our approach and the critical path replica method, it is essential to guard-band the prediction to ensure pessimism: our approach requires a guard band 30% smaller than for the critical path replica method.
Incorporating the voicing information into HMM-based automatic speech recognition in noisy environments
Authors: Peter Jančovič, Münevver Köküer
Venue: Speech Communication (2009)

In this paper, we propose a model for the incorporation of voicing information into a speech recognition system in noisy environments. The employed voicing information is estimated by a novel method that can provide this information for each filter-bank channel and does not require information about the fundamental frequency. The voicing information is modelled by employing the Bernoulli distribution. The voicing model is obtained for each HMM state and mixture by a Viterbi-style training procedure. The proposed voicing incorporation is evaluated both within a standard model and two other models that had compensated for the noise effect, the missing-feature and the multi-conditional training model. Experiments are first performed on noisy speech data from the Aurora 2 database. Significant performance improvements are achieved when the voicing information is incorporated within the standard model as well as the noise-compensated models. The employment of voicing information is also demonstrated on a phoneme recognition task on the noise-corrupted TIMIT database and considerable improvements are observed.
Automatic license plate detection and character extraction with adaptive threshold and projections
Authors: Daniel González Balderrama, Osslan Osiris Vergara Villegas, Humberto De Jesús Ochoa Domínguez, Vianey Guadaupe Cruz Sánchez
Venue: Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing (2008)

License plate detection is very important for several applications. Especially for security, like parking control. In this paper, we show the design of a novel system to detect vehicular plates and to extract the characters contained in it. The phase of plate detection was made in two stages: the rectangular perimeter detection and the finding of a pattern by pattern matching. After detection of the plate the characters contained in it are segmented by using an adaptive threshold and vertical and horizontal projections. The tests were made in an uncontrolled environment in a parking lot and using Mexican and American plates. The results show that the system is robust as compare to those reported in the literature.
Parameter Tuning of Real-Valued Crossover Operators for Statistics Preservation
Authors: Hiroshi Someya
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

Parameters of real-valued crossover operators have been often tuned under a constraint for preserving statistics of infinite parental population. For applications in actual scenes, in a previous study, an alternative constraint, called unbiased constraint, considering finiteness of the population has been derived. To clarify the wide applicability of the unbiased constraint, this paper presents two additional studies: (1) applying it to various crossover operators in higher dimensional search space, and (2) generalization of it for preserving statistics of overall population. Appropriateness of the parameter setting based on the unbiased constraint has been supported in discussion on robust search.
An accelerating technique for population based algorithms
Authors: Vassil Guliashki
Venue: Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing (2008)

In this paper an accelerating technique designed to improve the convergence speed of the population based algorithms is proposed. An illustration of this technique is presented on a genetic algorithm, performing such acceleration steps to solve a nonlinear integer programming problem. The encouraging results show that the combination of genetic and of population based algorithms with such enhancement may lead to hybrid search procedures with very good convergence properties.
Active Energy-Aware Management of Business-Process Based Applications
Authors: Danilo Ardagna, Cinzia Cappiello, Marco Lovera, Barbara Pernici, Mara Tanelli
Venue: Proceedings of the 1st European Conference on Towards a Service-Based Internet (2008)

Energy management is becoming a priority in the design and operation of complex service-based information systems, as the energy costs of IT infrastructures increase. This paper aims at introducing a novel interdisciplinary approach for the development of advanced active energy-aware business process applications, based on expertise from several research areas: Web service technologies, data deduplication, optimization, performance evaluation, model identification, robust and predictive control. The basic idea is that enforcing energy efficiency goals for the development of green business process systems can only be achieved by recognizing their multi-layer feedback nature, which can be successfully exploited by combining IT methodologies with methods and tools from systems and control theory.
Data transmission bit error rate performance utilising QPSK and OQPSK with guard interval
Authors: Igried Dib Al-Khawaldeh
Venue: Proceedings of the 3rd WSEAS international conference on Computer engineering and applications (2009)

The multicarrier (MC) transmission technique was devised in the 1960's for voice band data transmission [1, 2]. Today there are two principle multi carriers' applications, one is for the high speed digital subscriber loop and the other is for the broadcasting of digital audio and video signals [3, 4, 5]. In this work the use of multi carriers for high-bit rate wireless applications are considered. The bit error rate (BER) performance of multi carriers with quadrature phase shift keying (QPSK) and offset quadrature phase shift keying (OQPSK) [7] with guard interval in a fading environment is considered via the use of Monte Carlo simulation methods. BER results are presented for OQPSK using guard interval to immunity the multipath delay for frequency flat Rayleigh fading channels and for two-path fading channels in the presence of additive white Gaussian noise (AWGN).
Using virtualization to simulate biological cells
Authors: Ahmad Bazzi, Yoshikuni Onozato, Rihito Saito
Venue: Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems (2008)

In this paper, we discuss the virtualization technologies and the characteristics of biological cells. We notice that both virtual machines and cells are usually "self contained," and "logically independent" and relatively "mobile." We work to show the analogy between the two. With this level of common characteristics we conclude that it would be very beneficial for us to use virtual machines to simulate biological cells in general and suggest using "teams" of virtual machines to simulate biological organ functionality. In our opinion, this makes it easier to put our knowledge of biological systems into use.
Teach Yourself VISUALLY Macs
Authors: Paul McFedries
Venue:  (2008)

Are you a visual learner? Than Teach Yourself VISUALLY Macs is the book for you! This resource:Offers a perfect introduction for visual learners looking to gain a general understanding of Macs and some of the common peripherals associated with them. Demonstrates everything you need to know about transitioning from Windows to a Mac, using iPhoto, creating home movies with iMovie, and connecting all those cool devices, like the iPhone or iPod, so you can maximize iTunes. Shows you how to browse the Web with Safari and use iCal to track appointments, and what to do if something should ever go wrong. Includes full-color, rich screen shots and illustrations as well as step-by-step instructions clearly explain how to get the most from your Mac.
Extracting Relevant Information about Reduct Sets from Data Tables
Authors: Mikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj
Venue: Transactions on Rough Sets IX (2008)

The direct searching for relevant reducts in the set of all reducts of a given data table can be often computationally infeasible, especially for large data tables. Hence, there is a need for developing efficient methods for extracting relevant information about reducts from data tables which could help us to perform efficiently the inducing process of the high quality data models such as rule based classifiers. Such relevant information could help, e.g., to reduce the dimensionality of the attribute set. We discuss methods for generating relevant information about reduct sets from information systems or decision tables. In particular, we consider a binary relation on attributes satisfied for two given attributes if and only if there is no reduct consisting them both. Moreover, we prove that for any fixed natural k, there exists a polynomial in time algorithm which for a given decision table T and given k conditional attributes recognizes if there exists a decision reduct of T covering these k attributes. We also present a list of problems related to the discussed issues. The reported results create a step toward construction of a software library reducing the searching costs for relevant reducts.