ppxscal/embedding_network huggingface dataset:
Drench "Brains Dance"
Authors: Ringan Ledwidge
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

Brains, the bespectacled egghead of Gerry Anderson's 1960s puppet classic Thunderbirds, is the new ad for Britvic, performing some pretty amazing dance moves thanks to the hydrating benefits of Drench Water. The Mill provided all the 3D and Flame on the ad, which was devised by ad agency CHI and directed by Ringan Ledwidge.
Design of experiments: overview
Authors: Jack P. C. Kleijnen
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different types of DOE for these three domains, but focusses on random simulation. DOE may have two goals: sensitivity analysis and optimization. This contribution starts with classic DOE including 2k--p and Central Composite Designs (CCDs). Next, it discusses factor screening through Sequential Bifurcation. Then it discusses Kriging including Latin Hypercube Sampling and sequential designs. It ends with optimization through Generalized Response Surface Methodology and Kriging combined with Mathematical Programming, including Taguchian robust optimization.
Collision-free construction of animated feathers using implicit constraint surfaces
Authors: Andrew J. Weber, Galen Gornowicz
Venue: ACM Transactions on Graphics (TOG) (2009)

We present a scheme for constructing complex feather geometry suitable for feature animation. The key points of our approach include the use of a potential field derived from guide geometry and an implicit constraint surface to create nonpenetrating feather geometry. Our method is frame independent and produces visually smooth animation that is free from popping and other visual artifacts. We provide details of the implementation and examples of the technique applied to an animated character with several thousand feathers.
Cost benefit sharing-based coordination in logistics networks
Authors: Iwo V. Riha, Bernd Radermacher
Venue: International Journal of Information Technology and Management (2009)

We present a comprehensive approach for an incentive system in logistics networks based on network-wide evaluation and reallocation of costs and benefits. We show that alternative allocations of resources based on sharing costs and benefits can give an incentive to the network-partners: Cost Benefit Sharing (CBS). It enables activity dependent reallocation of individual effects that reflect the costs and benefits of each party and systematically considers qualitative factors. A case study of a sourcing process concludes this paper.
Semidefinite programming, multivariate orthogonal polynomials, and codes in spherical caps
Authors: Christine Bachoc, Frank Vallentin
Venue: European Journal of Combinatorics (2009)

In this paper, we apply the semidefinite programming approach developed in [C. Bachoc, F. Vallentin, New upper bounds for kissing numbers from semidefinite programming, J. Amer. Math. Soc. 21 (2008) 909-924] to obtain new upper bounds for codes in spherical caps. We compute new upper bounds for the one-sided kissing number in several dimensions where, in particular, we get a new tight bound in dimension 8. Furthermore, we show how to use the SDP framework to get analytic bounds.
Nervixxx: A Video Performance System with Neural Interfaces
Authors: Satoru Tokuhisa
Venue: Proceedings of the 2009 Second International Conferences on Advances in Computer-Human Interactions (2009)

Nervixxx introduces neural computing to overcome the limit of conventional performance systems that uses tangible computing and physical computing.Specifically, we utilized the EEG(electroencephalogram) which is the most informative of the biosignals, and the EMG (electromyogram)which has a high controllability. Users manipulate the tangible objects that are the major function of this system. This intuitively enables to mix and apply visual effects as a motion graphics data. At the same time,users can control the playing speed and the parameter for each effect by wearing wireless EMG sensors on each of their arms. Also, users’ brain waves can be used in real-time as a motion graphics data by wearing an EEG sensor. By introducing neural computing to tangible computing, it not only realizes the intuitive manipulation of applications but also increases the attractiveness of the actual performance. Moreover, the individuality of each user is reflected in the performer's ability to express him or herself.
A framework for semantic mapping between thesauri
Authors: Enrico Francesconi, Sebastiano Faro, Elisabetta Marinai
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

Thesaurus interoperability is an important property which guarantees quality in indexing and retrieval of heterogeneous data sources in a distributed environment. It contributes to guarantee semantic interoperability of public services and information quality which are essential features of eGov-ernment implementation policies. This paper presents a methodological framework for semantic mapping between thesauri as well as a specific approach within such framework on a case study aimed at mapping five thesauri of interest for European Union institutions having only schema information available.
Improved partition method for tracking moving objects in road networks
Authors: Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe
Venue: International Journal of Advanced Intelligence Paradigms (2008)

The past composite structures for managing spatio-temporal data based on the road network usually use road segment as units to divide moving objects into different groups. This scheme causes inaccurate description about vehicles' current segments, and also takes high update cost caused by R-Tree's inherent property. In this paper, we propose an improved partition method, which uses a new division unit called Cross Region (CR) to group the moving objects inside road networks, and then a new structure called CR-Tree is also proposed to be the static part of the composite structure. With CR, the position description for vehicles becomes more accurate, and the update cost could also be decreased.
Self introducing poster using attachable humanoid parts
Authors: Hirotaka Osawa, Ren Ohmura, Michita Imai
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

In this paper, we propose new robotics presentation method called, Self Introducing Poster that uses attachable humanoid parts and explains its contents through a self introduction style. Presentation by a conventional robot sometimes fails because the robot presenter is often too attractive and distracts from the presentation itself. In our method, the poster is anthropomorphized and explains its contents. Due to this self presentation, users can more easily understand its meaning because the information's contents and information provider are strongly related. We designed and implemented our system and evaluated it in the field. The results suggest that the self-introducing system is useful for gaining users attention and effectively presenting information.
Blind Adaptive Time Domain Equalizer for OFDM System
Authors: Chen Xianfu, Li Youming, Hu Guanhua, Shen Wei
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01 (2009)

In orthogonal frequency division multiplexing (OFDM), a time-domain equalizer can reduce intersymbol interference by shortening the effective duration of the channel impulse response. In this paper, we propose a novel blind time domain adaptive channel equalization algorithm for OFDM system, the cost function is inspired from MSSNR algorithm and the statistics relationship of the samples in the same symbol block. Computer simulation results are provided to compare the performance of the proposed algorithm with MERRY algorithm and non-blind, non-adaptive MSSNR algorithm.
A Fuzzy-GA Decision Support System for Enhancing Postponement Strategies in Supply Chain Management
Authors: Cassandra X. Tang, Henry C. Lau
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

This paper aims to propose a knowledge-based Fuzzy - GA Decision Support System with performance metrics for better measuring postponement strategies. The Fuzzy - GA approach mainly consists of two stages: knowledge representation and knowledge assimilation. The relevant knowledge of deciding what type of postponement strategies to adopt is encoded as a string with a fuzzy rule set and the corresponding membership functions. The historical data on performance measures forming a combined string is used as the initial population for the knowledge assimilation stage afterwards. GA is then further incorporated to provide an optimal or nearly optimal fuzzy set and membership functions for related performance measures. The originality of this research is that the proposed system is equipped with the ability of assessing the loss caused by discrepancy away from the different supply chain parties, and therefore enabling the identification of the best set of decision variables.
Taming the Unbounded for Hardware Synthesis
Authors: Byron Cook
Venue: Proceedings of the 7th International Conference on Integrated Formal Methods (2009)

The difficulty with compiling software to hardware is one of finding a priori bounds on the potentially unbounded resources used by programs: memory and time. New approaches now allow us to synthesize bounds on these resources, leading to new high-level hardware synthesis tools.
2009 Special Issue: Emergence of structured interactions: From a theoretical model to pragmatic robotics
Authors: A. Revel, P. Andry
Venue: Neural Networks (2009)

In this article, we present two neural architectures for the control of socially interacting robots. Beginning with a theoretical model of interaction inspired by developmental psychology, biology and physics, we present two sub-cases of the model that can be interpreted as ''turn-taking'' and ''synchrony'' at the behavioral level. These neural architectures are both detailed and tested in simulation. A robotic experiment is even presented for the ''turn-taking'' case. We then discuss the interest of such behaviors for the development of further social abilities in robots.
Numerical computation algorithms for sequential checkpoint placement
Authors: Tatsuya Ozaki, Tadashi Dohi, Naoto Kaio
Venue: Performance Evaluation (2009)

This paper concerns sequential checkpoint placement problems under two dependability measures: steady-state system availability and expected reward per unit time in the steady state. We develop numerical computation algorithms to determine the optimal checkpoint sequence, based on the classical Brender's fixed point algorithm and further give three simple approximation methods. Numerical examples with the Weibull failure time distribution are devoted to illustrate quantitatively the overestimation and underestimation of the sub-optimal checkpoint sequences based on the approximation methods.
Symbolism and enactivism: an experimental test of conflicting approaches to artificial intelligence
Authors: S. F. Worgan, R. I. Damper
Venue: Journal of Experimental Theoretical Artificial Intelligence (2009)

One does not have to go very far into the subject of artificial intelligence (AI) before deep philosophical issues start to surface. The Turing test, the frame problem, the Chinese room argument, symbol grounding, the role of representation: these are just a few of the topics that have generated intense discussion and debate over the years. One particular controversy surrounds symbolism: whether or not it is necessary to have explicit symbol representation and, if so, the mechanism(s) by which these symbols come into existence. How are such questions to be answered? Generally, they are considered to lie in the realm of philosophy and not to be amenable to experimental tests. However, when even limited experimental testing is feasible, it can offer valuable insight. In this article, we present an empirical test designed to explore some important foundational issues in AI. An artificial agent inhabits a digital world (a cellular automaton) in which its cognitive abilities vary in three dimensions (size of symbol memory, percentage of symbols that are innate, planning depth), allowing us to position it in a space that reflects degree of commitment to key philosophical standpoints. One plane of this space corresponds to pure symbol attachment, another plane corresponds to pure symbol grounding, and the origin of coordinates corresponds to pure enactivism. We find that an enactivist (purely reactive) agent architecture can perform as well as one employing planning in this scenario, if properly designed. Planning has strengths when task/environment complexity make design difficult but weaknesses if an inappropriate world model is acquired (e.g. as a result of mismatch between model and task/environment complexity). However, the main claim of the article is that empirical exploration of the kind presented here could usefully form the initial phase of the design of many practical AI systems, and forms a valuable alternative to simply declaring a priori adherence to a particular philosophical position.
Designing technology for sensitive contexts: supporting end-of-life decision making
Authors: Pin Sym Foong
Venue: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (2008)

This paper considers the problems in researchers face in designing for sensitive contexts that are controversial and potentially emotionally fraught. What should be designed when introducing technology in these situations? What methods can we employ to deliver a more desirable design? A case study is presented on the design of technology to support end of life decision-making. The case study makes use of transdisciplinary research, research within the cultural context and the adoption of a critical stance towards one's own design. A discussion on the contribution of these methods follows.
The long road to automation: Neurocognitive development of letter-speech sound processing
Authors: Dries J. W. Froyen, Milene L. Bonte, Nienke van Atteveldt, Leo Blomert
Venue: Journal of Cognitive Neuroscience (2009)

In transparent alphabetic languages, the expected standard for complete acquisition of letter-speech sound associations is within one year of reading instruction. The neural mechanisms underlying the acquisition of letter-speech sound associations have, however, hardly been investigated. The present article describes an ERP study with beginner and advanced readers in which the influence of letters on speech sound processing is investigated by comparing the MMN to speech sounds presented in isolation with the MMN to speech sounds accompanied by letters. Furthermore, SOA between letter and speech sound presentation was manipulated in order to investigate the development of the temporal window of integration for letter-speech sound processing. Beginner readers, despite one year of reading instruction, showed no early letter-speech sound integration, that is, no influence of the letter on the evocation of the MMN to the speech sound. Only later in the difference wave, at 650 msec, was an influence of the letter on speech sound processing revealed. Advanced readers, with 4 years of reading instruction, showed early and automatic letter-speech sound processing as revealed by an enhancement of the MMN amplitude, however, at a different temporal window of integration in comparison with experienced adult readers. The present results indicate a transition from mere association in beginner readers to more automatic, but still not "adult-like," integration in advanced readers. In contrast to general assumptions, the present study provides evidence for an extended development of letter-speech sound integration.
Mobile Services Provide Value by Decoupling the Time and Location Constraints in Healthcare Delivery
Authors: Karita Ilvonen, Johan Groop, Paul Lillrank
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

Mobile healthcare services exist to improve outcomes, but they have the potential to improve output of service provision as well. Operations management research on remote and mobile healthcare interventions tends to focus solely on output efficiency and leaving the questions of output-outcome relations to clinical medicine. However, with preventive interventions output-outcome relation plays a critical role in defining life-cycle long costs, outcomes and production effects of the technological intervention. Healthcare operations management can offer a valuable framework for better understanding remote mobile service systems and their effects. In this paper we explore different types of efficiency implications using mobile phone based solutions as an interesting example. We discuss time and location constraints of traditional service provision and how mobile services can impact them. We conclude by defining a new approach to studying mobile interventions from an operations management perspective.
Definition of database transactions by the casual user
Authors: Fred J. Maryanski, C. Steven Roush
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

Database management systems have been in general use for more than a decade. However, only recently have advances in technology and reduction in cost made such systems feasible for the small enterprise. Experience with database systems over the years indicates that the definition of a schema, design and implementation of a set of application programs, and maintenance of the system are far from trivial tasks. Consequently, the ability to perform effectively any of the above three tasks has become a highly marketable skill.
An efficient algorithm for the Hurwitz zeta and related functions
Authors: Mark W. Coffey
Venue: Journal of Computational and Applied Mathematics (2009)

A simple class of algorithms for the efficient computation of the Hurwitz zeta and related special functions is given. The algorithms also provide a means of computing fundamental mathematical constants to arbitrary precision. A number of extensions as well as numerical examples are briefly described. The algorithms are easy to implement and compete with Euler-Maclaurin summation-based methods.
Novel silicon high sensitive photonic sensor
Authors: A. Axelevitch, G. Golan
Venue: Microelectronics Journal (2009)

Light depended resistors (LDR) or photoresistors are semiconductor devices that are changing resistance under illumination. These devices have many applications in industrial controls: item counters, presence and proximity sensors, flame detectors, photometric devices, etc. If the light falling on the device has energy which is greater than the bandgap of the semiconductor, photons absorbed by the semiconductor excite electron-hole pairs which result in lowering the resistance of the semiconductor. Generally, these devices are made of semiconductors such as CdS or CdSe using a thin film technology, since they have traps and misfits in their atomic structure, leading to high dark current and noise. In this work, we describe a novel approach for a novel family of high sensitive light detectors made of single-crystalline silicon. Basic sensor was built in a flat shape providing lateral electrical transport of excited charged carriers. Simple laboratory methods were used to diffuse impurities on both sides of the sensor. The sample shows high sensitivity due to light intensity variation from dark to strong light (~96,000lx). A 30 times variation in the sample resistance was obtained.
The PicToSeek WWW Image Search System
Authors: Theo Gevers, Arnold W. M. Smeulders
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

In this paper, we give an overview of the PicToSeek system for exploring visual information on the World Wide Web. PicToSeek automatically collects, indexes and catalogs visual information entirely on the basis of the pictorial content. PicToSeek allows for content-based image retrieval conducted in an interactive, iterative manner guided by the user by relevance feedback. Relevance feedback can be seen as a method of feature selection and weighting. The PicToSeek system has been implemented based on the client-server paradigm. The client is a Java Applet and takes care of interactive query formulation, the display of the results, and the relevance feedback specification given by the user. The server is a Servlet using C-libraries and takes care of the image feature extraction, feature weighting from relevance feedback, k-nearest neighbour feature classification, and image sorting. The system is available at http://www.wins.uva.nl/research/isis/zomax/.
Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms
Authors: Wasyl Wasylkiwskyj, Ivica Kopriva
Venue: Signal Processing (2009)

Polynomial rooting direction finding (DF) algorithms are a computationally efficient alternative to search-based DF algorithms and are particularly suitable for uniform linear arrays (ULA) of physically identical elements provided mutual interaction among the array elements can be either neglected or compensated for. A popular polynomial rooting algorithm is Root-MUSIC (RM) wherein, for an N-element array, the estimation of the directions of arrivals (DOA) requires the computation of the roots of a 2N-2-order polynomial for a second order (SO) statistics- and a 4N-4-order polynomial for a fourth order (FO) statistics-based approach, wherein the DOA are estimated from L pairs of roots closest to the unit circle, when L signals are incident on the array. We derive SO- and FO statistics reduced polynomial rooting (RPR) algorithms capable to estimate L DOA from L roots only. We demonstrate numerically that the RPR algorithms are at least as accurate as the RM algorithms. Simplified algebraic structure of RPR algorithms leads to better performance than afforded by RM algorithms in saturated array environment, especially in the case of FO methods when number of incident signals exceeds number of elements and under low SNR and/or small sample size conditions.
Reliable simulation with input uncertainties using an interval-based approach
Authors: Ola Ghazi Batarseh, Yan Wang
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Uncertainty associated with input parameters and models in simulation has gained attentions in recent years. The sources of uncertainties include lack of data and lack of knowledge about physical systems. In this paper, we present a new reliable simulation mechanism to help improve simulation robustness when significant uncertainties exist. The new mechanism incorporates variabilities and uncertainties based on imprecise probabilities, where the statistical distribution parameters in the simulation are intervals instead of precise real numbers. The mechanism generates random interval variates to model the inputs. Interval arithmetic is applied to simulate a set of scenarios simultaneously in each simulation run. To ensure that the interval results bound those from the traditional real-valued simulation, a generic approach is also proposed to specify the number of replications in order to achieve the desired robustness. This new reliable simulation mechanism can be applied to address input uncertainties to support robust decision making.