ppxscal/embedding_network huggingface dataset:
Building Excitement, Experience and Expertise in Computational Science among Middle and High School Students
Authors: Patricia Jacobs
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

Three of the most important skills for advancing modern mathematics and science are quantitative reasoning, computational thinking, and multi-scale modeling. The SUCCEED Apprenticeship program gives students the opportunity of exploring all three of these areas. The SUCCEED Apprenticeship program uses innovative approaches to get students excited about computational science. The overall goal of this program is to provide middle and high school students with authentic experiences in the techniques and tools of information technology with a particular focus on computational science. The program combines appropriate structure (classroom-style training and project-based work experience) with meaningful work content, giving students a wide variety of technical and communication skills. The program provides middle and high students from ethnically and economically diverse backgrounds with training and authentic experiences in using computational science.
The fantasy table
Authors: Evi Indriasari Mansor, Antonella De Angeli, Oscar de Bruijn
Venue: Proceedings of the 8th International Conference on Interaction Design and Children (2009)

We explore the possibility of creating an interactive system which can foster fantasy play in preschool children in a tabletop environment. This paper reports our experiences designing and testing two prototypes with young children aged 3-4 years old. In the first study, we focused on understanding the similarities and differences between the type of play afforded by real objects and virtual objects. In the second study, we focused on testing solutions for the interaction difficulties evinced in the first study to see how to provide an engaging experience for children. Data were collected by observing children while they played with the study materials. Both quantitative and qualitative methods were used for data collection and analysis.
Fuzzy Plant Modeling with OpenGL- Novel Approaches in Simulating Phototropism and Environmental Conditions
Authors: Wojtek Palubicki
Venue:  (2007)

Plant modeling is a well established field of research of highly interdisciplinary character. First attempts date back into the 60's and since then the proposed models have been continuously improved throughout institutes in the whole world. Today these models find their way into areas of industry like agronomy, horticulture, forestry, urbanization and animation industry. In this book the reader will find genuine attempts in solving problems associated with three-dimensional plant generation on modern computers. Among other, an attempt to simulate phototropism using an approximative approach employing voxel spaces is presented; along with an innovative method to model environmental conditions with the aid of fuzzy rule based systems. In addition, the reader will also find a glimpse into the technical solution, with a special focus on key points in the design process, of such a scientific computer program. In particular the multi-threaded design necessary to realize a real-time application and the incorporation of shading language to enhance the aesthetic appeal of the models. Although backgrounds in biology, mathematics and computer science are necessary to fully explore the contents presented here, the author strongly believes this to be a rewarding experience to all researchers interested. 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
Emergent service provisioning and demand estimation through self-organizing agent communities
Authors: Mariusz Jacyno, Seth Bullock, Michael Luck, Terry R. Payne
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

A major challenge within open markets is the ability to satisfy service demand with an adequate supply of service providers, especially when such demand may be volatile due to changing requirements, or fluctuations in the availability of services. Ideally, this supply and demand should be balanced; however, when consumer demand changes over time, and providers independently choose which services they provide, a coordination problem known as 'herding' can arise bringing instability to the market. This behavior can emerge when consumers share similar preferences for the same providers, and thus compete for the same resources. Likewise, providers which share estimates of fluctuating demand may respond in unison, withdrawing some services to introduce others, and thus oscillate the available supply around some ideal equilibrium. One approach to avoid this unstable behavior is to limit the flow of information between agents, such that they possess an incomplete and subjective view of the local service availability. We propose a model of an adaptive service-offering mechanism, in which providers adapt their choice of services offered to consumers, based on perceived demand. By varying the volume of information shared by agents, we demonstrate that a co-adaptive equilibrium can be achieved, thus avoiding the herding problem. As the knowledge that agents possess is limited, they self-organise into community structures that support locally shared information. We demonstrate that such a model is capable of reducing instability in service demand and thus increase utility (based on successful service provision) by up to 59%, when compared to the use of globally available information.
Alice first: 3D interactive game programming
Authors: Robert H. Seidman
Venue: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education (2009)

For introductory programming courses, we recommend teaching Alice as a precursor to teaching object-oriented languages such as Java. This presentation describes and demonstrates the approach of a newly published workbook that uses a highly motivating story-telling 3D virtual world interactive game design and development pedagogical approach. Students create animated movies and in the process learn object-oriented programming fundamentals.
Static strategy and dynamic adjustment: An effective method for Grid task scheduling
Authors: Peijie Huang, Hong Peng, Piyuan Lin, Xuezhen Li
Venue: Future Generation Computer Systems (2009)

Task scheduling is the key technology in Grid computing. Hierarchical organization is suitable for the computational Grid because of the dynamic, heterogeneous and autonomous nature of the Grid. Although a number of Grid systems adopt this organization, few of them has dealt with task scheduling for the hierarchical architecture. In this paper, we present an effective method, fully taking into account both historical Grid trade data and dynamic variation of the Grid market to improve the task scheduling for a hierarchical Grid market. The main idea of the proposed method is a combination of an off-line static strategy using time series prediction and an on-line dynamic adjustment using reinforcement learning. The superiority of this new scheduling algorithm, in improving the inquiry efficiency for resource consumers, getting better load balancing of the whole hierarchical Grid market, and achieving higher success rate of the Grid service request, is demonstrated by simulation experiments.
Towards collaborative web-based impact assessment
Authors: Clemens Heidinger, Erik Buchmann, Klemens Böhm
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

Impact assessment (IA) is a key method for the legislator to evaluate policies, norms or regulations currently under development. Experts use IA to gather and analyze input from many individuals to obtain clear problem statements, estimations regarding policies etc., and use this information to compare policy alternatives. Currently, the opinions, expertise etc. gathered for IA need to be structured by hand. Thus, the analysis steps of IA are time-consuming, and IA does not scale with the number of persons involved. In this paper, we introduce a collaborative approach for IA. Based on a Web 2.0 architecture, we let a community of individuals derive the potential, downsides and design alternatives of policies collaboratively. An important characteristic of our approach is that it guides individuals through the process of creating structured input. Our approach is fully implemented, and we have evaluated it together with legal experts using the structured-case method. While our evaluation reveals that the acceptance of web-based IA strongly depends on the user interface, it also acknowledges that our approach can be an important tool for future IA.
BEsTRF
Authors: Blaž Stres, James M. Tiedje, Boštjan Murovec
Venue: Bioinformatics (2009)

Summary: BEsTRF (Best Estimated T-RF) provides a standalone environment for analyzing primers-enzymes-gene section combinations used in terminal-restriction fragment length polymorphism (T-RFLP) for its optimal resolution. User-defined sequence databases of several hundred thousand DNA sequences can be explored and the resolution of user-specified sets of primers and restriction endonucleases can be analyzed on either forward or reverse terminal fragments. Sequence quality, primer mismatches, insertions and deletions can be controlled and each primer pair-specific sequence collections can be exported for downstream analyses. The configuration for a novel T-RFLP population profiling using rpoB gene (DNA-directed RNA polymerase, beta subunit) on forward fluorescently labeled primer are presented. Availability: BEsTRF is freely available at http://lie.fe.uni-lj.si/bestrf and can be downloaded from the same site. The online protocol, numerous primer and enzyme dictionaries, sequence collections and results generated during this work for various genes are available at our website http://lie.fe.uni-lj.si/bestrf. Contact: blaz.stres@bfro.uni-lj.si
Fuzzy hyperrings
Authors: V. Leoreanu-Fotea, B. Davvaz
Venue: Fuzzy Sets and Systems (2009)

In this paper we introduce and analyze the fuzzy hyperring notion. We consider and study the subfuzzy-structures of a such notion and homomorphisms between fuzzy hyperrings. Finally, fundamental relations on fuzzy hyperrings are analyzed. In all the paper, we follow a connection between hyperrings and fuzzy hyperrings.
Web-Enabled Remote Scientific Environments
Authors: Héctor Vargas, José Sánchez-Moreno, Sebastián Dormido, Christophe Salzmann, Denis Gillet, Francisco Esquembre
Venue: Computing in Science and Engineering (2009)

The authors introduce a new approach to developing Web-enabled environments for remote diagnostics, maintenance, and experimentation in engineering. They've based their approach on a middleware layer, called a Java-Internet-Labview (JIL) server, which provides a transparent mechanism for communicating Java programs with Labview virtual instruments (VIs) running on different computers, without prior communication facilities. Via this layer, the user can control the VI via the Internet, and its controls and indicators become writable and readable from a Java applet. They illustrate their approach by applying it to the development of a complete Web-enabled application for remote control of a thermal process.
Geometric Manifold Energy and Manifold Clustering
Authors: Hongyu Li, Qiyong Guo, Jinyuan Jia, Jussi Parkkinen
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

A general nonparametric technique is proposed for the description of geometric manifold energy of unorganized data. Minimizing the energy leads to an optimal cycle, from which underlying manifolds are easily distinguished. We design a new framework for manifold clustering based on energy minimization. In addition, we propose the active tabu search method to approximately solve for the optimal solution to energy minimization. We have applied the proposed technique to both synthetic and real data. Experimental results show that the method is feasible and promising in manifold clustering.
Making promises in infinite-horizon economies with default and collateral
Authors: Jaime Orrillo
Venue: Mathematics and Computers in Simulation (2009)

We study an infinite-horizon economy with incomplete markets where default is explicitly allowed, contrary to the GE model (where default is ruled out by assumption). The time and uncertainty are modeled by a countable infinite event-tree with a unique initial node at initial date, and with a continuum of branches at each node of the tree. If we allow agents to sell promises subject to the purchase of durable goods serving as collateral, then it is possible to prove the existence of equilibria without imposing either constraint on agent's asset holdings, or assumption on ex post endowments. The proof is independent of the manner in which households discount the future.
Compiling structural types on the JVM: a comparison of reflective and generative techniques from Scala's perspective
Authors: Gilles Dubochet, Martin Odersky
Venue: Proceedings of the 4th workshop on the Implementation, Compilation, Optimization of Object-Oriented Languages and Programming Systems (2009)

This article describes Scala's compilation technique of structural types for the JVM. The technique uses Java reflection and polymorphic inline caches. Performance measurements of this technique are presented and analysed. Further measurements compare Scala's reflective technique with the "generative" technique used by Whiteoak to compile structural types. The article ends with a comparison of reflective and generative techniques for compiling structural types. It concludes that generative techniques may, in specific cases, exhibit higher performances than reflective approaches, but that reflective techniques are easier to implement and have fewer restrictions.
Arabic language modeling with finite state transducers
Authors: Ilana Heintz
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop (2008)

In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer inflected forms (Kirchhoff et al., 2006). This exacerbates the out-of-vocabulary (OOV) problem. Test set words are more likely to be unknown, limiting the effectiveness of the model. The goal of this study is to use the regularities of Arabic inflectional morphology to reduce the OOV problem in that language. We hope that success in this task will result in a decrease in word error rate in Arabic automatic speech recognition.
Towards end-user web software visualization
Authors: Craig Anslow, James Noble, Stuart Marshall, Ewan Tempero
Venue: Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing (2008)

Software visualization has always been expensive, special purpose, and hard to program. Most of the existing software visualization tools require too much time for end-user developers to learn and make effective use of. We are currently building a web software visualization application that allows end-user to create, view, save, and share visualizations. In this abstract we introduce our software corpus visualization project and summarize our results thus far.
Nonnegative Decompositions with Resampling for Improving Gene Expression Data Biclustering Stability
Authors: Liviu Badea, Doina Ţilivea
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

The small sample sizes and high dimensionality of gene expression datasets pose significant problems for unsupervised subgroup discovery. While the stability of unidimensional clustering algorithms has been previously addressed, generalizing existing approaches to biclustering has proved extremely difficult. Despite these difficulties, developing a stable biclustering algorithm is essential for analyzing gene expression data, where genes tend to be co-expressed only for subsets of samples, in certain specific biological contexts, so that both gene and sample dimensions have to be taken into account simultaneously. In this paper, we describe an elegant approach for ensuring bicluster stability that combines three ideas. A slight modification of nonnegative matrix factorization that allows intercepts for genes has proved to be superior to other biclustering methods and is used for base-level clustering. A continuous-weight resampling method for samples is employed to generate slight perturbations of the dataset without sacrificing data and a positive tensor factorization is used to extract the biclusters that are common to the various runs. Finally, we present an application to a large colon cancer dataset for which we find 5 stable subclasses.
Citizen noise pollution monitoring
Authors: Nicolas Maisonneuve, Matthias Stevens, Maria E. Niessen, Peter Hanappe, Luc Steels
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated meta-data can be automatically sent and shared online with the public to contribute to the collective noise mapping of cities. Our prototype, called Noise Tube, can be found online.
Load curve estimation for distribution systems using ANN
Authors: J. N. Fidalgo
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

Loads estimation is becoming each time more fundamental for an efficient management and planning of electric distribution systems. Among the factors that contribute to this need of more efficiency are the increasing complexity of these networks, the deregulation process and the competition in an open energy market, and environment preservation requirements. However, the only information generally available at MV and LV levels is essentially of commercial nature, i.e., monthly energy consumption, hired power contracts and activity codes. In consequence, distribution utilities face the problem of estimating load diagrams to be used in planning and operation studies. The typical procedure uses measurements in typical classes of consumers defined by experts to construct inference engines that, most of the times, only estimate peak loads. In this paper, the definition of classes was performed by clustering the collected load diagrams. Artificial Neural Networks (ANN) were then used for load curve estimation. This article describes the adopted methodology and presents some representative results. Performance attained is discussed as well as a method to achieve confidence intervals of the main predicted diagrams.
Defects and instabilities in Hf-dielectric/SiON stacks (Invited Paper)
Authors: J. F. Zhang
Venue: Microelectronic Engineering (2009)

In this work, a review on the recent progress in understanding defects and instabilities in Hf-dielectric/SiON stacks will be given for both nMOSFETs and pMOSFETs. The key issues addressed for nMOSFETs include the capture cross section of electron traps, their location and justification of the model used. For pMOSFETs, a framework will be proposed for the defects and then used to interpret the anomalous NBTI kinetics. The dominant dielectric layer for positive charging will be identified. Wherever possible, the classical SiO"2 will be used as a benchmark and the similarity and difference between the stack and SiO"2 will be highlighted. It will be shown that the stack behaves like a degraded SiO"2.
Askus: Amplifying Mobile Actions
Authors: Shin'Ichi Konomi, Niwat Thepvilojanapong, Ryohei Suzuki, Susanna Pirttikangas, Kaoru Sezaki, Yoshito Tobe
Venue: Proceedings of the 7th International Conference on Pervasive Computing (2009)

Information sharing has undeniably become ubiquitous in the Internet age. The global village created on the Internet provides people with instant access to information and news on events occurring in a remote area, including access to video content on websites such as YouTube. Thus, the Internet has helped us overcome barriers to information. However, we cannot conceive an event happening in a remote area and respond to it with relevant actions in a real-time fashion. To overcome this problem, we propose a system called Askus, a mobile platform for supporting networked actions. Askus facilitates an extension of the conceivable space and action by including humans in the loop. In Askus, a person's request is transmitted to a suitable person who will then act in accordance with the request at a remote site. Based on a diary study that led to detailed understanding about mobile assistance needs in everyday life, we developed the Askus platform and implemented the PC-based and mobile phone-based prototypes. We also present the results from our preliminary field trial.
Key views for visualizing large spaces
Authors: Hongyuan Cai, Jiang Yu Zheng
Venue: Journal of Visual Communication and Image Representation (2009)

Image is a dominant medium among video, 3D model, and other media for visualizing environment and creating virtual access on the Internet. The location of image capture is, however, subjective and has relied on the esthetic sense of photographers up until this point. In this paper, we will not only visualize areas with images, but also propose a general framework to determine where the most distinct viewpoints should be located. Starting from elevation data, we present spatial and content information in ground-based images such that (1) a given number of images can have maximum coverage on informative scenes; (2) a set of key views can be selected with certain continuity for representing the most distinct views. According to the scene visibility, continuity, and data redundancy, we evaluate viewpoints numerically with an object-emitting illumination model. Our key view exploration may eventually reduce the visual data to transmit, facilitate image acquisition, indexing and interaction, and enhance perception of spaces. Real sample images are captured based on planned positions to form a visual network to index the area.
Investigation of the effects of asymmetrical problems on the performance of search management agent
Authors: Jukkrit Kluabwang, Deacha Puangdownreong, Sarawut Sujitjorn
Venue: Proceedings of the 10th WSEAS international conference on evolutionary computing (2009)

The article presents the performance evaluation of the management agent (MA) containing the adaptive tabu search (ATS) as its search core. In particular, asymmetrical surface optimization problems have been considered. It has been found that symmetrical property of the problems has a significant effect on search performance of the ATS, but MA(ATS). On an average, the MA(ATS) is about 2 times faster than the ATS under both symmetrical and asymmetrical problems. The article also gives reviews on the ATS and the MA(ATS) algorithms.
Reconsideration on Non-Linear Base Orderings
Authors: Frances Johnson, Stuart C. Shapiro
Venue: Proceeding of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium (2006)

Reconsideration is a belief change operation that re-optimizes a finite belief base following a series of belief change operations---provided all base beliefs have a linear credibility ordering. This paper shows that linearity is not required for reconsideration to improve and possibly optimize a belief base.