ppxscal/embedding_network huggingface dataset:
Data Management Challenges of Data-Intensive Scientific Workflows
Authors: Ewa Deelman, Ann Chervenak
Venue: Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (2008)

Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. Much research to-date focuses on efficient, scalable, and robust workflow execution, especially in distributed environments. However, many challenges remain in the area of data management related to workflow creation, execution, and result management. In this paper we examine some of these issues in the context of the entire workflow lifecycle.
Brief paper: Experience inclusion in iterative learning controllers: Fuzzy model based approaches
Authors: S. Gopinath, I. N. Kar, R. K. P. Bhatt
Venue: Engineering Applications of Artificial Intelligence (2008)

Iterative learning control (ILC) is a new domain in control system that motivates, whether mechanical robots can learn a prescribed ideal motion by themselves using information represented by the measured data gathered in the previous practice. For each new desired trajectory task, the conventional ILC methods have to start its learning with zero initial input assumption. Instead of such zero initial input assumption, in this paper, the idea of using the past trajectory tracking experiences on the initial input selection for tracking new trajectory-tracking tasks have been highlighted. Certain methods of experience inclusion in iterative learning controllers (ILC) are proposed. Approximate fuzzy data model (AFDM) and type-1 fuzzy logic system (FLS) techniques have been adopted for the process of initial input selection. Performance of the proposed fuzzy rule based model-based ILC approaches on initial error reduction and in error convergence issues are proved. Numerical experimentation on a two-link manipulator model with the inclusion of actuator dynamics verifies the performance of the proposed fuzzy model-based ILC approaches. Comparison with existing local learning technique on the selection of initial input for ILC algorithm proves the efficacy of the proposed AFDM and type-1 FLS-based methods.
Interface designs for pen-based mobile video browsing
Authors: Wolfgang Hürst, Georg Götz
Venue: Proceedings of the 7th ACM conference on Designing interactive systems (2008)

In this paper, we describe two interface designs for mobile video browsing on pen-based handheld devices. Both feature different interaction types, such as speed- and position-based navigation which enable users to interactively skim a video's content along the timeline at different granularity levels. The feasibility and usefulness of the proposed designs is demonstrated in a comparative user study.
Merging two gene-expression studies via cross-platform normalization
Authors: Andrey A. Shabalin, Håkon Tjelmeland, Cheng Fan, Charles M. Perou, Andrew B. Nobel
Venue: Bioinformatics (2008)

Motivation: Gene-expression microarrays are currently being applied in a variety of biomedical applications. This article considers the problem of how to merge datasets arising from different gene-expression studies of a common organism and phenotype. Of particular interest is how to merge data from different technological platforms. Results: The article makes two contributions to the problem. The first is a simple cross-study normalization method, which is based on linked gene/sample clustering of the given datasets. The second is the introduction and description of several general validation measures that can be used to assess and compare cross-study normalization methods. The proposed normalization method is applied to three existing breast cancer datasets, and is compared to several competing normalization methods using the proposed validation measures. Availability: The supplementary materials and XPN Matlab code are publicly available at website: https://genome.unc.edu/xpn Contact: shabalin@email.unc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
A time-splitting spectral method for computing dynamics of spinor F=1 Bose-Einstein condensates
Authors: Hanquan Wang
Venue: International Journal of Computer Mathematics (2007)

We propose a time-splitting spectral method for the generalized Gross-Pitaevskii equations, which describe the dynamics of spinor F=1 Bose-Einstein condensates at a very low temperature. The new numerical method is explicit, unconditionally stable, and of spectral accuracy in space. Moreover, it conserves the position densities at the discretized level. We apply the method for studying both the dynamic generation of vortices and vortex lattice dynamics for the spinor F=1 Bose-Einstein condensates held in an Ioffe-Pritchard magnetic field.
Numerical solution of linear Fredholm integral equations using sine-cosine wavelets
Authors: M. Ghasemi, E. Babolian, M. Tavassoli Kajani
Venue: International Journal of Computer Mathematics (2007)

If we divide the interval [0,1] into N sub-intervals, then sine-cosine wavelets on each sub-interval can approximate any function. This ability helps us to obtain a more accurate approximation of piecewise continuous functions, and, hence, we can obtain more accurate solutions of integral equations. In this article we use a combination of sine-cosine wavelets on the interval [0,1] to solve linear integral equations. We convert the integral equation into a system of linear equations. Numerical examples are given to demonstrate the applicability of the proposed method.
Spectral reflectance at sub-leaf scale including the spatial distribution discriminating NPK stress characteristics in barley using multiway partial least squares regression
Authors: R. N. Jørgensen, L. K. Christensen, R. Bro
Venue: International Journal of Remote Sensing (2007)

This paper introduces a methodology able to discriminate between non-stressed plants and N, P and K stress symptoms in spring barley grown under controlled conditions, utilizing the spectral and spatial dimensions simultaneously. Nine spectral measurements in the range 450-1000 nm were taken for each plant. The measuring points were spatially located at the tip, middle and base of the last three fully developed leaves. This design generated a four-way data set consisting of measurements as a function of (i) the specific plant, (ii) the spectral wavelength, (iii) the plant leaf position and (iv) the position on the leaf. Multiway partial least squares regression analysis with dummy variables was able correctly to classify the four nutrient conditions with 92% accuracy regardless of the respective growth stages within a time window of 2 weeks. The addition of the spatial dimension to the spectral dimension proved to be a promising nutrient diagnostic tool. Without performance loss it was possible to reduce the hyperspectral resolution to a resolution of three wavelengths. The three selected 2 nm wide bands were R450, R700 and R810, which agrees well with the literature on plant spectral reflectance in relation to nutritional stress.
Process improvement of peer code review and behavior analysis of its participants
Authors: Yanqing WANG, LI Yijun, Michael Collins, Peijie LIU
Venue: Proceedings of the 39th SIGCSE technical symposium on Computer science education (2008)

The software industry is urging on universities and colleges to cultivate software engineers who can write high quality programs. Peer code review (PCR) is accepted as an ideal way to maximize the learning outcome of students in writing quality code. Using this learning process, students improve their skills while scientific and efficient management removes the extra burden from instructors such as checking programs written by every student. In this paper, the previous PCR process was improved and the definitions of the relevant roles and documents were refined as well. After implementing this process in two academic years, some problems were found. By means of summarizing the email submissions by the students and also interviewing a few students, the behavior of all participants was preliminarily analyzed. With regards to the further quality assurance and high efficiency, a web-based management information system with a built-in blind review mechanism was discussed for solving the problems with process control, and also a game theory model was proposed for addressing the ethical issues in the whole PCR process.
A probabilistic technique for full-chip leakage estimation
Authors: Shaobo Liu, Qinru Qiu, Qing Wu
Venue: Proceeding of the 13th international symposium on Low power electronics and design (2008)

In this paper, we propose a probability-based algorithm to estimate full-chip leakage without knowing layout information, under intra-die and inter-die process variations. Through modeling process variations into a random vector, we show that the standard cell leakage can be modeled as an inverse Gaussian random variable and further demonstrate that full-chip leakage can also be approximated to be an inverse Gaussian random variable. Hence, the leakage estimation problem is reduced to the estimation of the mean value and variance of the full-chip leakage. Experimental results show that the proposed algorithm is over 1000X faster than Monte Carlo simulation while the maximum estimation error is less than 6%.
Asset Price Dynamics When Behavioural Heterogeneity Varies
Authors: Domenico Colucci, Vincenzo Valori
Venue: Computational Economics (2008)

We build a model in which asset prices are expectationally driven and agents forecast future prices hinging on a combination of fundamental value, trend and inertia. The model has a unique steady state and we investigate its stability. In particular the amount of behavioural heterogeneity in the model is given by the number of intermediaries actually operating in the market: we are concerned with the effects that changing such number produces on the steady state in terms of stability. Assuming that the set of relevant intermediaries is sampled randomly we discuss the probability of having stability as a function of the market's parameters and the number of such agents. Our simulations show that stability in the multi-agent setting does not require that conditions for stability in the representative agent case be met for every individual; so stability can arise even if some of the agents would not be compatible with it if they were the only ones operating in the market. The same goes for instability. Further, we find that stabilising (or destabilising) effects of heterogeneity are not uniform across the market's essential characteristics, as captured by a given structural parameter: in fact we can identify a parametric region in which heterogeneity is stabilising and another in which it is destabilising.
Online Examination
Authors: Sophal Chao, Y. B. Reddy
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

While there is an enormous amount of material to study, the usage of internet technology is increasingly shielding the need for textbooks. Currently, students spend lot of money for textbooks, while study material is available on the internet. This internet-based examination system is flexible for teachers to set and control the student examinations. There are many features like information sharing between users, departments, institutes, and other interested groups are included in the new system.
Experimental workplace for the evaluation of power amplifier linearization algorithms
Authors: R. Marsalek, A. Prokes, J. Prokopec
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

The paper presents our experimental workplace currently built-up for testing of power amplifier linearization algorithms. After a brief introduction into linearization techniques using predistortion, a measurement configuration together with a brief description of its individual components are presented. The paper also presents the first experimental results. On the example of the QPSK modulation, the nonlinearity polynomial model has been evaluated. This workplace has been realized in order to test the operation of the real predistorters on digitally modulated signals.
Using data mining and recommender systems to scale up the requirements process
Authors: Jane Cleland-Huang, Bamshad Mobasher
Venue: Proceedings of the 2nd international workshop on Ultra-large-scale software-intensive systems (2008)

Ultra-Large-Scale (ULS) software projects are anticipated to be highly complex and to involve thousands, or even hundreds of thousands of stakeholders. Unfortunately numerous accounts of recent failures and challenges in industrial and governmental projects have demonstrated that current requirements elicitation and prioritization practices do not scale adequately to address the needs of large projects. This position paper directly addresses this problem through proposing an open, inclusive, and robust elicitation and prioritization process that utilizes data-mining and recommender technologies to facilitate the active involvement of many thousands of stakeholders. We believe that the approach described in this paper is a fundamental building block towards addressing higher level requirements problems facing ULS Systems.
Adaptive Transport Protocols in Multi Agent System
Authors: Amjad Mehmood, Abdul Ghafoor, H. Farooq Ahmed, Zeeshan Iqbal
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

Multi Agent System (MAS) is an emerging subfield of Distributed Artificial Intelligence, but it has already proven its metal as a significant technology that converted the mind of researchers to develop the autonomous applications. The primary problem that is fueling the need for MAS at design time is to predict all the possible situations and behaviors which would be faced by multi agent systems during its execution, so they must be dynamic and have the capability to learn from and adapt to their environments accordingly. Currently, all MASs uses static approach to load the transport level protocols without taking into consideration the requirements of the protocol by the application. To overcome the aforementioned problem in this paper we proposed a solution for message transport services that predicts the environment by calculating the frequency of protocols to dynamically upload the transport protocols. This enables the MAS to efficiently utilize the resources and when the particular task has been accomplished, free the resources and download the protocol as well. Moreover, it will support future transportation requirements that will be easily plug-in with the existing infrastructure. Adaptability at the transport level protocols not only adds efficiency to the MAS but also make it more flexible and scaleable that ultimately increases the efficiency of overall system.
Optimal joint vendor-buyer inventory strategy for deteriorating items with salvage value
Authors: Nita H. Shah, Ajay S. Gor, H. M. Wee
Venue: Proceedings of the fourteenth symposium on Computing: the Australasian theory - Volume 77 (2008)

This study develops a joint optimal inventory strategy for both the buyer and the vendor when the expired stocks have salvage value, and are subject to constant rate of deterioration. It is shown numerically that the joint approach results in a significant cost reduction when compared with an individual decision by the buyer. We also observed that although the joint total cost decreases, the buyer's cost increases due to larger order. To motivate the buyer to continue to replenish larger order quantity, a permissible delay in payments is offered by the vendor to the buyer. A negotiation factor is introduced to share the benefits of both the parties; the vendor and the buyer.
On Single-Array Genotype Calling Algorithms
Authors: Anna Tikhomirov, Anuar Konkashbaev, Dan L. Nicolae
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

This paper describes issues in using single-array algorithmsfor calling genotypes for Affymetrix arrays, and introduces a computationally efficient procedure that is designed to be used as a complement to the multi-arrays algorithms. The new tool is based on ideas from a previously introduced algorithm with modifications that improve accuracy. These modifications are also necessary for handling the data from the new arrays which have a modified design with no perfect-matches. The main gain in accuracy is obtained from the partitioning of the probes in homogeneous clusters based on measures of efficiency of probe hybridization that are calculated from the probe sequence composition, and based on measures of probe performance that are calculated using a small training dataset.
Effects of the input filter on the stability of a voltage-mode controlled buck converter
Authors: Ming Li, Dong Dai, Xikui Ma
Venue: International Journal of Circuit Theory and Applications (2008)

This letter presents a favorable effect of the input filter on the stability of a filter-converter system, which employs a cascade configuration of a voltage-mode controlled buck converter and a third-order input filter. Such an effect can enlarge the stable region of the stand-alone buck converter when appropriately selecting the damping resistor of the input filter. Effectively, the frequency-domain model based on the extra element theory is used to analyze and illustrate the input filter interaction regarding this favorable effect. Our work provides a supplementary view for engineers to deal with input filter interaction. Copyright &copy; 2007 John Wiley & Sons, Ltd.
Process-response modelling of fluvio-deltaic stratigraphy
Authors: Robert M. Hoogendoorn, Irina Overeem, Joep E. A. Storms
Venue: Computers Geosciences (2008)

Numerical modelling is a tool to investigate the controls on the formation of the stratigraphic record on geological timescales. The model presented in this paper (DELTASIM) uses a process-response approach that simulates the stratigraphy of fluvial-dominated deltaic systems in two dimensions, based on simplified diffusion rules of cross-shore sedimentation. Net sedimentation is calculated for individual grain-size classes as the sum of independent erosion and deposition functions, enabling simulations of fluvio-deltaic stratigraphy besides clinoform evolution. Critical sediment transport parameters are validated using synthetic data from a process-based morphodynamic model, DELFT3D. Generic experiments show the effect of changes in sea level, sediment supply, offshore gradient and sediment size distribution. These experiments show that the model is fully capable of reproducing classic concepts of delta development on geological timescale. Such experiments allow students a possibility to evaluate the controls on the formation of the stratigraphic record. DELTASIM has been successfully applied to improve the understanding of the sedimentary evolution of a real-world fluvial-dominated delta in the Caspian Sea. Additional functionality encompasses a stochastic discharge model that can be used as input to simulate series of scenarios of delta development using the model's rapid run time to our advantage. This functionality enables us to present probabilistic output of longitudinal stratigraphic sections as an alternative to the deterministic predictions often made by stratigraphic models. The characteristics of the model; simplicity, speed and compatibility of the output to conceptual sequence stratigraphic models make DELTASIM suitable as a teaching tool.
Strategic quality competitiveness management
Authors: Tina Chun-Fong Chiao
Venue: International Journal of Information Technology and Management (2006)

Nowadays, experienced practitioners are considering the effectiveness and efficiency of project management as the vital factors for their long-term enterprise failure or success. As such, the author introduces the key issues of the planning and implementation on quality improvement of the manufactured products. In reality, quality products cannot be produced through the short-term business profit activities. Quality can be fulfilled through the long-term reliable procedures for the joint committed agreement between producers and customers. In this paper, the author recommends that proper detail tasks over the specification and design phases may drastically reduce the whole life cycle cost (i.e. up to 85% of cost saving). The author also adopts the Six Sigma practices, by which the competitive conditions of products can be formulated, planned and managed. Furthermore, the Bayesian sequential procedures, the well-defined review, verification and validation tasks, the level of the product competitiveness as well as the degree of customers' satisfaction can be measured.
Multirate formulation for mismatch sensitivity analysis of analog-to-digital converters that utilize parallel ΣΔ-modulators
Authors: Anton Blad, Håkan Johansson, Per Löwenborg
Venue: EURASIP Journal on Advances in Signal Processing (2008)

A general formulation based on multirate filterbank theory for analog-to-digital converters using parallel sigmadelta modulators in conjunction with modulation sequences is presented. The time-interleaved modulators (TIMs), Hadamard modulators (HMs), and frequency-band decomposition modulators (FBDMs) can be viewed as special cases of the proposed description. The usefulness of the formulation stems from its ability to analyze a system's sensitivity to aliasing due to channel mismatch and modulation sequence level errors. Both Nyquist-rate and oversampled systems are considered, and it is shown how the matching requirements between channels can be reduced for oversampled systems. The new formulation is useful also for the derivation of new modulation schemes, and an example is given of how it can be used in this context.
Investigation of house price in Eskisehir (Turkey) by using semiparametric additive regression model
Authors: Rabia Ece Omay, Dursun Aydin
Venue: Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics (2006)

In this paper, different regression models are obtained to examine relation between house price and house features in Centrum of Eskisehir Province (Turkey). The statistical analyses of this paper indicate that some of explanatory variables affect the response variable parametrically and some of them nonparametrically. Therefore, obtained suitable model has both parametric and nonparametric variables and the model is semiparametric additive regression model. It has concluded that this model has given better results than linear model.
Algorithm 883: SparsePOP---A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems
Authors: Hayato Waki, Sunyoung Kim, Masakazu Kojima, Masakazu Muramatsu, Hiroshi Sugimoto
Venue: ACM Transactions on Mathematical Software (TOMS) (2008)

SparsePOP is a Matlab implementation of the sparse semidefinite programming (SDP) relaxation method for approximating a global optimal solution of a polynomial optimization problem (POP) proposed by Waki et al. [2006]. The sparse SDP relaxation exploits a sparse structure of polynomials in POPs when applying &ldquo;a hierarchy of LMI relaxations of increasing dimensions&rdquo; Lasserre [2006]. The efficiency of SparsePOP to approximate optimal solutions of POPs is thus increased, and larger-scale POPs can be handled.