ppxscal/embedding_network huggingface dataset:
Comparison and versioning of scientific workflows
Authors: Eduardo Ogasawara, Pablo Rangel, Leonardo Murta, Claudia Werner, Marta Mattoso
Venue: Proceedings of the 2009 ICSE Workshop on Comparison and Versioning of Software Models (2009)

Scientific Workflow Management Systems have become a widely used tool to orchestrate a sequence of programs, defined by scientific workflows, to build complex computer simulations. With the aid of these workflows, scientists develop their models for in-silico experiments. Although these workflows are very dynamic and need a large number of changes in their definition, very little effort has been done to support configuration management of these definitions. This work presents a configuration management model developed for scientific workflows, which includes both version control and diff/merge algorithms.
Many Valued Algebraic Structures as the Measures for Comparison
Authors: Kalle O. Saastamoinen
Venue: Proceeding of the 2006 conference on Integrated Intelligent Systems for Engineering Design (2006)

In this chapter we will study properties and usability of basic many valued structures called t-norms, t-conorms, implications and equivalences in comparison tasks. We will show how these measures can be aggregated with generalized mean and what kind of measures for comparison can be achieved from this procedure. New classes for comparison measures are suggested, which are combination measure based on the use of t-norms and t-conorms and pseudo equivalence measures based on S-type implications. In experimental part of this chapter we will show how some of the comparison measures presented here work in comparison task. For comparison task we use classification. We show by comparison to results that can be achieved through some known public domain classifier results that our classification results are highly competitive.
On Semi-implicit Splitting Schemes for the Beltrami Color Flow
Authors: Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel
Venue: Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision (2009)

The Beltrami flow is an efficient non-linear filter, that was shown to be effective for color image processing. The corresponding anisotropic diffusion operator strongly couples the spectral components. Usually, this flow is implemented by explicit schemes, that are stable only for small time steps and therefore require many iterations. In this paper we introduce a semi-implicit scheme based on the locally one-dimensional (LOD) and additive operator splitting (AOS) schemes for implementing the anisotropic Beltrami operator. The mixed spatial derivatives are treated explicitly, while the non-mixed derivatives are approximated in a semi-implicit manner. Numerical experiments demonstrate the stability of the proposed scheme. Accuracy and efficiency of the splitting schemes are tested in applications such as the scale-space analysis and denoising. In order to further accelerate the convergence of the numerical scheme, the reduced rank extrapolation (RRE) vector extrapolation technique is employed.
The measures weighted stratum and weighted compactness on the weighted digraph-based models of the hypermedia and navigation
Authors: Tolga Güyer
Venue: Computers Education (2009)

This study focuses on carrying out weighted digraph-based mathematical construction of hypermedia and user navigation on hypermedia and making a presentation of ''weighted'' forms of known stratum and compactness. In the instructional Web design researches, the structural analysis of navigation on the hypermedia is important in modeling the behaviors that the learners perform while using this kind of media. Therefore, new conceptions of the presented usage of new measures towards this goal are also discussed within the scope of our study.
Combining Communication Technology Utilization and Organizational Innovation: Evidence from Canadian Healthcare Decision Makers
Authors: Jalila Jbilou, Réjean Landry, Nabil Amara, Salaheddine El Adlouni
Venue: Journal of Medical Systems (2009)

Information and Communication Technology (ICT) and Organizational Innovation (OI) are seen as the miracle of post-modernity in organizations. In this way, they are supposed to resolve most organizational problems, efficiently and rapidly. OI is highly dependent on the capacity and the investment in knowledge management (internal and external) to support decision making process and to implement significant changes. We know what explains ICT utilization (ICTU) and what determines OI development (OID) in healthcare services. Moreover, the literature tends to link ICTU to OID and vice versa. However, this dependency has never been explored empirically through the lens of roles combination. To identify the existing combined roles profiles of ICTU and OID among healthcare decision makers and determine factors of the shift from a profile to another. We did the following: (1) a structured review of the literature on healthcare management by focusing on ICTU and OID which allowed us to build two indexes and a comprehensive framework; (2) a copula methodology to identify with high precision the thresholds for ICTU and OID; and (3) a cross-sectional study based on a survey done with a sample of 942 decision makers from Canadian healthcare organizations through a multinomial logit model to identify determinants of the shift. ICTU and OID are correlated at 22% (Kendal’s Tau). The joint distribution (combination) of ICTU and OID shows that four major profiles exist among decision makers in Canadian healthcare organizations: the traditional decision maker, the innovative decision maker, the technologic decision maker and the contemporary decision maker. We found out that classic factors act as barriers to the shift from one profile to the desired profile (from 1 to 4, from 2 to 4 and from 3 to 4). We have identified that the attitude toward research and relational capital are transversal barriers of shift. We have also found that some factors have a specific impact such as engaging in activities of research acquisition, the administrative position (being a manager), the preference for applied research results as source of information, the degree of novelty of research results, and the gender. Modern Canadian healthcare organizations need contemporary decision makers who use ICT and develop OI, if performance is the target. Our results let us suggest that the isolated administrative agents profile is no more effective in a dynamic and changing world. Contemporary decision makers need to be more active intellectually and to take risks in their decisions. Relying exclusively on research results and on their social network is no more helpful for a real shift. Moreover, the traditional factors, i.e. organization size, time, experience…are no more effective, especially when we consider combined roles. We propose some practical and theoretical recommendations to support these changes.
Occam and Bayes in predicting category intuitiveness
Authors: Emmanuel M. Pothos
Venue: Artificial Intelligence Review (2007)

We consider two models of unsupervised categorization, the simplicity model and the rational model. Their comparison is interesting because the models are based on proximal mathematical principles (minimum description length and Bayesian inference), but their implementation is very different (the simplicity model prefers groupings of similar items, while the rational model groupings which have higher utility). The models' predictions were assessed with a series of artificial datasets, such that each dataset was designed to reflect a simple intuition about human categorization processes. In the case of linearly separable categories, such that each category was composed of two subgroups, and in the case of non-linearly separable categories, the predictions of the simplicity model and rational diverged. Implications for future developments in unsupervised categorization are discussed.
User search behaviors within a library gateway
Authors: William H. Mischo, Mary C. Schlembach, Michael A. Norman
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

This poster reports on user searching behavior within two information gateways developed at the University of Illinois at Urbana-Champaign Library. These gateways are built around a locally developed metasearch engine and are designed to assist users with search query formulation and modification. Search behavior data is being collected in custom transaction logs that gather user search arguments along with any system actions and contextual search assistance suggestions.
Finite-State Machines for Mining Patterns in Very Large Text Repositories
Authors: Wojciech Skut
Venue: Proceeding of the 2009 conference on Finite-State Methods and Natural Language Processing: Post-proceedings of the 7th International Workshop FSMNLP 2008 (2009)

The emergence of WWW search engines since the 1990s has changed the scale of many natural language processing applications. Text mining, information extraction and related tasks can now be applied to tens of billions of documents, which sets new efficiency standards for NLP algorithms. Finite-state machines are an obvious choice of a formal framework for such applications. However, the scale of the problem (size of the searchable corpus, number of patterns to be matched) often poses a problem even to well-established finite-state string matching techniques. In my presentation, I will focus on the experience gained in the implementation a finite-state matching library optimized for searching large amounts of complex patterns in a WWW-scale repository of documents. Both algorithmic and implementation-related aspects of the task will be discussed. The library is based on OpenFST.
The effectiveness of producer-side machine-independent optimizations for mobile code
Authors: Wolfram Amme, Jeffery von Ronne, Philipp Adler, Michael Franz
Venue: Software&mdash;Practice Experience (2009)

Portable mobile code is often executed by a host virtual machine using just-in-time compilation. In this context, the compilation time in the host virtual machine is critical. This compilation time can be reduced if optimizations are performed ahead-of-time before distribution of the mobile code. Unfortunately, the portable nature of mobile code limits ahead-of-time optimizations to those that are machine-independent. This work examines the effect of machine-independent optimizations on the performance of mobile code applications. All experiments use the SafeTSA Format, a mobile code format that is based on Static Single Assignment Form (SSA Form). The experiments, which are performed on both the PowerPC and IA32 architectures, indicate that the effects of performing classical machine-independent optimizations are&mdash;in fact&mdash;quite machine-dependent. Nevertheless, the results demonstrate that applying such optimizations in a mobile code system can be beneficial. Copyright &copy; 2009 John Wiley & Sons, Ltd.
Knowledge Discovery on the response to neurorehabilitation treatment of patients with Traumatic Brain Injury through an AI&Stats and graphical hybrid methodology
Authors: Karina Gibert, Alejandro García-Rudolph, Alberto García-Molina, Teresa Roig-Rovira, Montserrat Bernabeu, José María Tormos
Venue: Proceeding of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (2008)

Neuropsychological rehabilitation seeks to reduce cognitive disability after acquired brain injury. However, until now, there is not enough data to allow exercise of neuropsychological rehabilitation based on scientific Class I evidence. From the medical point of view, the purpose of this work is to develop a classificatory tool to identify different populations of patients based on the characteristics of deficit and response to treatment. This Knowledge Discovery problem has been faced by using exogenous clustering based on rules, an hybrid AI and Statistics technique, which combines some Inductive Learning (from AI) with clustering (from Statistics) to extract knowledge from certain complex domains in form of typical profiles. In this paper, the results of applying this technique to a sample of patients with Traumatic Brain Injury are presented and their advantages with regards to other more classical analysis approaches are discussed.
A PZT-driven atomizer based on a vibrating flexible membrane and a micro-machined trumpet-shaped nozzle array
Authors: Yeau-Ren Jeng, Chien-Chan Su, Guo-Hua Feng, Yu-Yin Peng, Ghin-Pin Chien
Venue: Microsystem Technologies (2009)

This paper presents the design, and fabrication of a PZT-driven atomizer based on a flexible membrane and a micro-machined trumpet-shaped nozzle array. Tests were conducted to demonstrate that the developed atomizer can produce fine droplets. The atomizer uses a PZT bimorph plate attached to a liquid-proof HDPE membrane with a low Young&#x2019;s modulus to generate a pressure wave in the liquid reservoir. The trumpet-shaped micro-nozzle array is fabricated using a surface micromachining technique and an electroplating process. The fabrication process allows the use of a low resolution photomask to fabricate a high feature-sized trumpet-nozzle array. The SMD values of the ejected droplets and the flow rate of the fabricated atomizer are measured experimentally as a function of the operating frequency and the nozzle diameter for liquids of various viscosities. The relationship between the droplet size distribution and the SMD value is also explored. The experimental results show that the atomizer is capable of generating droplets with an SMD of 4.6&#x00a0;&#x03bc; at a flow rate of 2.5&#x00a0;g/min. Hence, the atomizer has the potential for use in many applications.
Refactoring sequential Java code for concurrency via concurrent libraries
Authors: Danny Dig, John Marrero, Michael D. Ernst
Venue: Proceedings of the 2009 IEEE 31st International Conference on Software Engineering (2009)

Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 package java.util.concurrent (j.u.c.) supports writing concurrent programs: much of the complexity of writing thread-safe and scalable programs is hidden in the library. To use this package, programmers still need to reengineer existing code. This is tedious because it requires changing many lines of code, is error-prone because programmers can use the wrong APIs, and is omission-prone because programmers can miss opportunities to use the enhanced APIs. This paper presents our tool, Concurrencer, that enables programmers to refactor sequential code into parallel code that uses three j.u.c. concurrent utilities. Concurrencer does not require any program annotations. Its transformations span multiple, non-adjacent, program statements. A find-and-replace tool can not perform such transformations, which require program analysis. Empirical evaluation shows that Concurrencer refactors code effectively: Concurrencer correctly identifies and applies transformations that some open-source developers overlooked, and the converted code exhibits good speedup.
Analysis, instrumentation, and visualization of embedded network systems: a testbed-based approach
Authors: Jason O. Hallstrom
Venue:  (2008)

Embedded network systems are gaining adoption and emerging as the next step in the shift toward ubiquitous computing. Deployments range in scale from tens of devices to over a thousand; applications can be massively parallel and distributed, executing over unreliable links and devices. The programming model used to develop these systems is fundamentally different than the models provided by traditional imperative programming languages; many existing software engineering tools and techniques cannot be applied. In particular, the lack of tools and techniques to analyze, instrument, and visualize these systems make their development more difficult. We present a framework to address these difficulties in the context of the nesC development platform. The three components of this framework are: (1) a real-time interactive, open platform for analyzing program and network behavior; (2) a source code analysis and instrumentation framework to support a range of static analysis and instrumentation activities; and (3) a control-flow visualization framework for resource-constrained embedded network devices.
The impact of feedback design in haptic volume visualization
Authors: Karljohan Lundin Palmerius, Camilla Forsell
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Enhancing volume visualization with additional cues from our sense of touch has shown the potential to increase both speed and accuracy in the data exploration. Research in the area display a wide array of modes of interaction and many of these have been evaluated to demonstrate their capabilities. There are, however, few studies performed that compare different approaches for their strengths and weaknesses and there is a lack of guidelines on how the haptic feedback should be designed to allow for best performance. This paper describes a study on the influence of the basic principle chosen for data representation on the ability to identify faint structures in the data. Three metaphors are compaired, two types of shape metaphors and one force metaphor. Based on statistical analysis on evaluation data, interviews and observations a set of guidelines on the design of haptic visualization is described.
Room acoustics experimental study: characterization of the sound quality in a new built church
Authors: J. Quartieri, S. D'Ambrosio, C. Guarnaccia, G. IannoneG. Iannone
Venue: Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications (2009)

This paper is devoted to the study of the sound propagation in the hall of a new built church, by means of acoustical sound level acquisition and analysis. In particular we focus on the evaluation of the reverberation time. That represents one of the principal parameter that must be optimized in order to improve the people hearing sensation. A correction of the reverberation time can be performed by modifying the reflection surfaces of walls, floor and roof. This means that some of the reflecting materials must be replaced or covered with absorbing panels or carpets. The intervention can be dimensioned, tuned and designed with the aid of some simulation software, as we propose in the last part of the paper.
Tag-based model for knowledge sharing in agent society
Authors: Sharmila Savarimuthu, Maryam Purvis, Martin Purvis
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

In this paper we discuss a tag-based model that facilitates knowledge sharing. Sharing the knowledge incurs a cost for the sharing agent, and thus non-sharing is the preferred option for selfish agents. Through agent-based simulations we show that knowledge sharing is possible even in the presence of non-sharing agents in the population. We also show that the performance of an agent society can be better when some agents bear the cost of sharing instead of the whole group.
Editorial: Languages, compilers, and tools for embedded systems
Authors: Zhiyuan Li, Santosh Pande
Venue: ACM Transactions on Embedded Computing Systems (TECS) (2009)

Publisher Note: This Guest Editorial by Li and Pande describes a number of related articles originally intended as a special issue but which were published in earlier issues as follows: Auerbach et al., "Low-Latency Time-Portable Real-Time Programming with Exotasks", appears in TECS 8(2) Article 15 DOI 10.1145/1457255.1457262 Murray et al., "Code Transformation and Instruction Set Extension", appears in TECS 8(4) Article 26 DOI 10.1145/1550987.1550989 Ahn and Paek, "Register Coalescing Techniques for Heterogeneous Register Architecture with Copy Sifting", appears in TECS 8(2) Article 16 DOI 10.1145/1457255.1457263 Yan and Zhang, "Analyzing the Worst-Case Execution Time for Instruction Caches with Prefetching", appears in TECS 8(1) Article 7 DOI 10.1145/1457246.1457253
Single wall carbon nanotubes for conductive wiring
Authors: Christopher M. Schauerman, Jack Alvarenga, Matthew J. Ganter, Thomas P. Seager, Brian J. Landi, Ryne P. Raffaelle
Venue: Proceedings of the 2009 IEEE International Symposium on Sustainable Systems and Technology (2009)

The scarcity of ore and environmental intensity of copper production creates a strong incentive to explore alternative materials for conducting electricity. Single-walled carbon nanotubes (SWCNT) rely on plentiful feedstock materials (i.e., graphite) and exhibit high theoretical conductivity on a per mass basis. However, bulk conductivities measured at the laboratory scale indicate further improvements in carbon nanotube ribbons and wires are necessary to create a competitive alternative. This paper investigates methods for improving the conductivity of SWCNT ribbons and wires. As-produced SWCNT material was synthesized from pulsed laser vaporization of doped graphite targets. The resulting as-produced material was purified in excess of 95%, based on optical absorption spectroscopy, and fabricated into free-standing buckypapers without the aid of polymer or binders. Nearly an order of magnitude increase in conductivity was achieved for mechanical densification of SWCNT wires. Chemical doping of SWCNT papers with nitric acid resulted in an increase in electrical conductivity from 2.7x104 S/m to 1x106 S/m.
Interactivity and Learning
Authors: Dan Schwartz
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Two claims for artificial intelligence techniques in education are that they can increase positive interactive experiences for students, and they can enhance learning. Depending on one's preferences, the critical question might be “how do we configure interactive opportunities to optimize learning?” Alternatively, the question might be, “how do we configure learning opportunities to optimize positive interactions?” Ideally, the answers to these two questions are compatible so that desirable interactions and learning outcomes are positively correlated. But, this does not have to be the case --interactions that people deem negative might lead to learning that people deem positive, or vice versa. The question for this talk is whether there is a “sweet spot” where interactions and learning complement one another and the values we hold most important. I will offer a pair of frameworks to address this question: one for characterizing learning by the dimensions of innovation and efficiency; and one for characterizing interactivity by the dimensions of initiative and idea incorporation. I will provide empirical examples of students working with intelligent computer technologies to show how desirable outcomes in both frameworks can be correlated.
Reversible data hiding exploiting spatial correlation between sub-sampled images
Authors: Kyung-Su Kim, Min-Jeong Lee, Hae-Yeoun Lee, Heung-Kyu Lee
Venue: Pattern Recognition (2009)

Reversible data hiding enables host media to be restored from marked media without any loss of host information. Since this reversibility helps to make right decision during image analysis, it is highly desired in quality-sensitive imagery where even the minimal distortion introduced by embedding data is unacceptable. In this paper, we propose a reversible data hiding method that modifies the difference histogram between sub-sampled images. It exploits the high spatial correlation inherent in neighboring pixels to achieve high capacity and imperceptible embedding. On various test images including 16-bit images, we demonstrate the validity of our proposed method by comparing to other existing reversible data hiding algorithms. Experimental results support that our method provides high embedding capacity while keeping the distortions at a low level.