ppxscal/embedding_network huggingface dataset:
Fluctuation free matrix representation based univariate integration in hybrid high dimensional model representation (HHDMR) over plain and factorized HDMR
Authors: Süha Tuna, Burcu Tunga, N. Abdülbaki Baykara, Metin Demiralp
Venue: Proceedings of the 2nd WSEAS international conference on Multivariate analysis and its application in science and engineering (2009)

High Dimensional Model Representation (HDMR) which was first proposed fifteen years ago is still under development for the construction of its new varieties. It is a finite term representation of a multivariate function in terms of less variate functions. Its truncation at certain level of variance serves as an approximation to the target function and the truncation level is preferred to be kept at most bivariance for practical applications. Plain HDMR is used for the functions highly additive while the Factorized HDMR is designed for dominantly multiplicative functions. The Hybrid HDMR (HHDMR) combines these two HDMR varieties into a new version of HDMR and is expected to work more efficiently than plain HDMR and FHDMR. The construction of HHDMR basically uses the components of plain HDMR since FHDMR does the same. The definite integrals appearing in the definition of these components are efficiently approximated by using the fluctuation free matrix representation method which was recently developed by M. Demiralp.
QuickBooks 2008 For Dummies: For Dummies Computer/Tech
Authors: Stephen L. Nelson
Venue:  (2007)

Does your small business need big help with accounting and financial management services? QuickBooks 2008 For Dummies to the rescue! Heres just what you need to get up and running with the latest version of QuickBooks, the bestselling small business accounting software for more than a decade. With QuickBooks, you can build a budget, process payroll, track income and outgo, and make tax time a little less stressful. Even though its a pretty intuitive system, QuickBookslike all accounting softwarerequires a bit of set-up to make it run efficiently and tailor it to your business. QuickBooks 2008 For Dummies shows you how to Work with accounts payable and receivable Handle credit card transactions Keep your business checkbook Build a perfect budget Print checks and generate reports Manage your payroll and prepare payroll tax returns Estimate, bill, and track jobs Prepare customer invoices, record sales, and pay bills Take care of those necessary tasks that happen at the end of the week, the month, the year, or the billing cycle QuickBooks 2008 For Dummies covers QuickBooks Basic, Pro, Premier, and Enterprise flavors. Whether youre the business owner or the manager or employee charged with making QuickBooks work, this friendly guide helps you get going and keeps a smile on your face. 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
The C Programming Language, 1st edition
Authors: A. K. Goyal
Venue:  (2007)

The C Programming Language provides an insight into Programming Principles in general and deals with both the theoretical and practical aspects of C Programming. The book also introduces the concept of functions, arrays and the C preprocessor. It has a full chapter devoted to Miscellaneous advanced problems that experienced and learned C professionals might be interested in. The book provides intensive practical sessions at the end of each chapter along with sample examples to support the corresponding theory. Besides examples, diagrams, and practical sessions, four interesting appendices have also been affixed at the end of the book. The book would be useful for undergraduate, graduate, postgraduate, teachers & lecturers, Professionals as well as those in the industry. 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 semi-supervised approach to projected clustering with applications to microarray data
Authors: Kevin Y. Yip, Lin Cheung, David W. Cheung, Liping Jing, Michael K. Ng
Venue: International Journal of Data Mining and Bioinformatics (2009)

Recent studies have suggested that extremely low dimensional projected clusters exist in real datasets. Here, we propose a new algorithm for identifying them. It combines object clustering and dimension selection, and allows the input of domain knowledge in guiding the clustering process. Theoretical and experimental results show that even a small amount of input knowledge could already help detect clusters with only 1&#37; of the relevant dimensions. We also show that this semi-supervised algorithm can perform knowledge-guided selective clustering when there are multiple meaningful object groupings. The algorithm is also shown effective in analysing a microarray dataset.
Perceptual coding of haptic data in time-delayed teleoperation
Authors: Iason Vittorias, Julius Kammerl, Sandra Hirche, Eckehard Steinbach
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

In telepresence and teleaction systems the haptic communication channel plays a central role. As it closes a global control loop any introduced communication delay possibly destabilizes the system and impairs the performance. The scattering theory is known to solve these stability issues by transmitting wave variables instead of haptic signals, i.e. force and velocity, over the communication channel. For stability and performance additionally high packet rates are required stressing the underlying network resources. Perceptual coding techniques of haptic signals, such as the Weber-inspired deadband approach, are known to successfully reduce the packet rate on the haptic channel. However, as wave variables do not directly represent haptic information but a linear transformation of both signals, perceptual coding is not directly applicable anymore. In this paper, we present a novel control scheme as well as a modification of the deadband approach to take advantage of the stabilization ability of the wave variables while allowing perceptual coding on the communication channel. Simulation results and comparison with the wave variables architecture indicate improved data compression for same degree of transparency for purely stiff as well as free environments.
Development of an Amharic text-to-speech system using cepstral method
Authors: Tadesse Anberbir, Tomio Takara
Venue: Proceedings of the First Workshop on Language Technologies for African Languages (2009)

This paper presents a speech synthesis system for Amharic language and describes and how the important prosodic features of the language were modeled in the system. The developed Amharic Text-to-Speech system (AmhTTS) is parametric and rule-based that employs a cepstral method. The system uses a source filter model for speech production and a Log Magnitude Approximation (LMA) filter as the vocal tract filter. The intelligibility and naturalness of the system was evaluated by word and sentence listening tests respectively and we achieved 98% correct-rates for words and an average Mean Opinion Score (MOS) of 3.2 (which is categorized as good) for sentences listening tests. The synthesized speech has high intelligibility and moderate naturalness. Comparing with previous similar study, our system produced considerably similar quality speech with a fairly good prosody. In particular our system is mainly suitable for building new languages with little modification.
"My child will be respected": Parental perspectives on computers and education in Rural India
Authors: Joyojeet Pal, Meera Lakshmanan, Kentaro Toyama
Venue: Information Systems Frontiers (2009)

Public spending on computer centers in rural Indian public schools raise questions about the value of expensive modern technology in extremely resource-strapped environments. Arguments for or against providing computers in low-income schools have appeared in policy circles, academia, teacher conferences, and philanthropic discussions, with passionate rhetoric from all sides. We present the results of a qualitative study of computer-aided learning centers in schools catering primarily to Below Poverty Line (BPL) families in four districts of rural Karnataka, South India. Here, we held a series of open-and close-ended discussions with parents of children from these schools on issues such as aspirations, quality of schooling, and the perception of computers more generally. The research reveals a range of voices on hopes for the next generation, perceived value of computer courses and higher education, and the perceived changes in villages after the arrival of computers in their local schools. It emerges that for many parents, the computer has an immense symbolic value--separate from its functional value--that is tied to social and economic ascendancy. We find that this symbolic value derives from associations that parents imbibe from their various interactions with people using computers in a range of situations. We find in our interviews a heightened sense of mystique over the technology and its potential, across people with varying levels of first-hand experience and understanding of computers. We find that notions of change and hope are situated within an environment of great fear about the future of agriculture. We argue here that this, alongside a widespread existing discourse about computers in media and public life in India, mostly emerging from urban middle-classes ideas around technology, help spur a strong sense of expectation that the computers can dramatically change social prospects even among the poorest and most excluded. From competing with English as the gateway to power, to impacting dowry costs for female youth, interviews show a myriad of expectations from technology, creating what we see as a strong case for a nuanced look at the discourse and mythology of computers and technology in developing regions.
Service oriented MAS: an open architecture
Authors: C. Carrascosa, A. Giret, V. Julian, M. Rebollo, E. Argente, V. Botti
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

This paper defines THOMAS, an open architecture and computational model for large-scale open multi-agent systems based on a service-oriented approach, specifically addressed for the design of virtual organizations.
Spatio-temporal network anomaly detection by assessing deviations of empirical measures
Authors: Ioannis Ch. Paschalidis, Georgios Smaragdakis
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

We introduce an Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. We present two different approaches to characterize traffic: (i) a model-free approach based on the method of types and Sanov's theorem, and (ii) a model-based approach modeling traffic using a Markov modulated process. Using these characterizations as a reference we continuously monitor traffic and employ large deviations and decision theory results to "compare" the empirical measure of the monitored traffic with the corresponding reference characterization, thus, identifying traffic anomalies in real-time. Our experimental results show that applying our methodology (even short-lived) anomalies are identified within a small number of observations. Throughout, we compare the two approaches presenting their advantages and disadvantages to identify and classify temporal network anomalies. We also demonstrate how our framework can be used to monitor traffic from multiple network elements in order to identify both spatial and temporal anomalies. We validate our techniques by analyzing real traffic traces with time-stamped anomalies.
Multidimensional data classification
Authors: Dana Klimešová, Eva Ocelíková
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error, was applied on the set of the multispectral data. They represent real images of the Earth surface obtained from remote Earth sensing. The paper describes experience and results obtained during the classification of extensive set of these multispectral data and analysis of influence of dispersions and mean values of features on classification results.
Test Generation for Model-Based Diagnosis
Authors: Gregory Provan
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

This article formalises the dual problem to model-based diagnosis (MBD), i.e., generating tests to isolate multiple simultaneous faults. Using a standard propositional MBD framework, we first define a test of minimal size that can isolate multiple simultaneous faults of an arbitrary nature. Second, we prove complexity results for multiplefault tests of minimal size in propositional system models, showing such problems have complexity similar to those of MBD problems, i.e., complexity at the second level of the polynomial hierarchy.
Strong and Weak Forms of Abstract Argument Defense
Authors: Diego C. Martínez, Alejandro García, Guillermo R. Simari
Venue: Proceeding of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008 (2008)

Extended abstract frameworks separate conflicts and preference between arguments. These elements are combined to induce argument defeat relations. A proper defeat is consequence of preferring an argument in a conflicting pair, while blocking defeat is consequence of incomparable or equivalent-in-strength conflicting arguments. As arguments interact with different strengths, the quality of several argument extensions may be measured in a particular semantics. In this paper we analyze the strength of defenses in extended argumentation frameworks, under admissibility semantics. A more flexible form of acceptability is defined leading to a credulous position of acceptance.
Illustrative deformation of volumetric objects and other graphical models
Authors: Deborah Silver
Venue:  (2007)

The purpose of visualization is to gain understanding of 3D structures through images. Although many rendering techniques have been proposed for this purpose, the effective visualization remains a challenging task, due to occlusion, clutter, noise in the data, and acquisition pose. Recent solutions to this problem deal with transfer functions and other rendering techniques to enhance the visibility of certain parts of interest. At the core of these techniques is the assumption that the user's role is passive and that the data remains unchanged.In this thesis, we explore a more active approach to visualization, where a scientist can manipulate a dataset as if deforming a real model. We call this type of manipulation Illustrative Deformation. Our approach draws the name from the types of deformations that are often depicted in scientific illustration, which are used to enhance visibility of certain features while providing context, or to abstract the structure of an object or procedure. Inspired by medical and surgical illustration, our approach was designed to reproduce some of their key properties: illustrations often contains cuts and dissections, they allow feature-sensitive operations, which can be applied to a semantic component of the object without affecting other parts of the object, and they enable virtual operations, which do not necessarily conform to reality, but are useful for understanding the structure of complex objects. Our approach is based on a generalized notion of 3D displacement maps, which unifies the specification of continuous and discontinuous deformations on both volumes and surface-based objects. We show how displacements can describe a wide range of transformations, including cuts and peels, how they can be extended to include feature-sensitive operations, and how can they be implemented to obtain high quality interactive rendering on commodity hardware. We also show how our approach can be extended to the deformation of surface-based models without the need for remeshing. Through a number of examples and quantitative results, we demonstrate the generality, flexibility and scalability of our approach, and we explore its applications in medical illustration, surgical planning and simulation, and as a general tool for visualization and computer graphics.
Identification first order stochastic system with etimation parameters: recursive description
Authors: M. T. Zagaceta, J. J. Medel
Venue: Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation (2009)

This paper presents identification analysis problem respect to first-order stochastic invariant time with unknown parameter evolution, expressed it in finite difference within limit velocity time. Requiring in this case the dynamical interaction between two filters (estimation and identification structures), giving both a good enough convergence rate respect to the real observable signal system. The identification filter gain K as second probability moment error, resulted as difference between the signal model system and its identification results, achieving greater convergence without lost the natural time interval interaction, minimizing the error trajectories respect to proposed model considering in it, dynamical estimation respect to unknown parameters. Emphasizing the dynamics filter interaction, using the stochastic gradient filter method as estimator into first order identification filter. The identification filter model based in the black box scheme didn't use the transition matrix because didn't know the dynamical parameter condition; although in ideal description require it. Therefore, in the real sense is better to use dynamical estimator inside it as to see in the concepts developed below. This dynamical interaction could be used in tracking paths, navigation systems and gravimetric measures, description, reconstruction and information systems, requiring its operations to describe internal parameters and states, respectively. The natural stochastic system evolution shines without lost its internal properties.
Modeling and simulation of processes from an iron ore sintering plant
Authors: Corina Maria Dinis, Gabriel Nicolae Popa, Angela Iagar
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

This work presents the mathematic models of the basic processes from an iron ore processing plant. Based on the mathematic models, using the Matlab/Simulink platform, it was achieved the simulation of the dosing process and simulation of the sintering process. The achieved mathematic model allows the determination of the material flows in the charge at their chemical composition variation, or at the variation of the reference values of the parameters S, I, r0, c0. Further the simulation, there are obtained the time-variations of the optimal speed for the sintering machine at different distributions of iron ore's temperatures on the sintering band.
Generalized Risk Zone: Selecting Observations for Classification
Authors: R. T. Peres, C. E. Pedreira
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

In this paper, we extend the risk zone concept by creating the Generalized Risk Zone. The Generalized Risk Zone is a model-independent scheme to select key observations in a sample set. The observations belonging to the Generalized Risk Zone have shown comparable, in some experiments even better, classification performance when compared to the use of the whole sample. The main tool that allows this extension is the Cauchy-Schwartz divergence, used as a measure of dissimilarity between probability densities. To overcome the setback concerning pdf's estimation, we used the ideas provided by the Information Theoretic Learning, allowing the calculation to be performed on the available observations only. We used the proposed methodology with Learning Vector Quantization, feedforward Neural Networks, Support Vector Machines, and Nearest Neighbors.
The effect of human pattern-recognition abilities in improving DSS performance
Authors: Arben Asllani, Alireza Lari
Venue: Computers and Industrial Engineering (2009)

In this paper, the function of a data-centred decision-support system (DSS) is simulated to investigate whether the incorporation of human pattern-recognition abilities significantly improves the performance of a system. Two decision making scenarios are considered. In one scenario, there is no human interaction, whereas the other scenario uses the pattern-recognition capabilities of humans. The simulation is performed by mining 10,000 records in 980 replications. The DSS has the ability to take corrective actions with the purpose of keeping the incoming data records within a given set of upper and lower boundaries. The results indicate that incorporating pattern-recognition ability in a DSS significantly improves the system's performance. However, the impact of human input is not linear with respect to system performance. Our study shows that a moderate degree of human intervention will usually provide the greatest positive impact on the system's performance.
Social interaction online: the case of a cross-disciplinary research conference
Authors: Tawona Nyirenda, Lisa F. Seymour
Venue: Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association (2009)

While, online conferencing has grown in popularity, many conference attendees still prefer face-to-face conferences because the social networking opportunities are seen as superior. Hence enabling social interactions in online conferences is seen as important. This paper provides a case study of how social interactions are promoted in an online cross-disciplinary research conference. The online conference website provided archival artefacts posted by participants during the online conference discussions. These artefacts were firstly analysed to identify the levels of social interaction present in the online conference, and secondly to identify social interaction enablers and inhibitors. Effective enablers were found to be the facilitation and the use of prescribed topics of discussion. Some major inhibitors of social interaction were found to be the lack of community amongst members, poor conference timing and notice period, lack of immediacy and unclear or not relevant topics. Although the study focused predominantly on a cross-disciplinary research conference, the findings reported in this study could have useful applications on online social interaction in general. The study found that while an online conference arguably has merits over a face-to-face conference, these benefits can only be optimised when social interaction is deliberately fostered through convergence of the online conference tool, facilitation, and topic design.