ppxscal/embedding_network huggingface dataset:
A dynamic programming scheme with multidimensional step indexing
Authors: L. K. Levit-Gurevich, D. M. Yaroshevskii
Venue: Automation and Remote Control (2006)

The classical dynamic programming scheme with computation for one sequence of steps is generalized to the case of several indexed sequences in which the solution at every step depends on the results found at preceding steps of each of these sequences. The Bellman equations are generalized and proved, the complexity of algorithms is estimated, computer-aided realization is described, and applied problems whose formalization leads to a dynamic programming problem with multidimensional step indexing are stated.
Speedup Clustering with Hierarchical Ranking
Authors: Jianjun Zhou, Joerg Sander
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

Many clustering algorithms in particular hierarchical clustering algorithms do not scale-up well for large data-sets especially when using an expensive distance function. In this paper, we propose a novel approach to perform approximate clustering with high accuracy. We introduce the concept of a pairwise hierarchical ranking to efficiently determine close neighbors for every data object. Empirical results on synthetic and real-life data show a speedup of up to two orders of magnitude over OPTICS while maintaining a high accuracy and up to one order of magnitude over the previously proposed DATA BUBBLES method, which also tries to speedup OPTICS by trading accuracy for speed.
Meta-communication widgets for knowledge building in distance education
Authors: Robert S. McLean
Venue: Proceedings of the 1999 conference on Computer support for collaborative learning (1999)

"Knowledge Building" is a theory of learning, which emphasizes the collaborative construction of knowledge by a group of learners. Students develop their understanding through sustained inquiry that pursues collective goals of understanding; it is driven by student questions and explanations, in self-directed small groups. Although it can be practiced without computer support, computer software such as Knowledge Forum&trade; is designed to support such collaborative learning. "Widgets" are software user interface elements that display information and allow the user to manipulate the information display or to accomplish some task. This paper suggests specific classes of widgets that might help learners better attain knowledge building objectives, by distinguishing between the substance of knowledge building and the "meta-communication" which surrounds its development. Widgets designed according to knowledge building principles may help facilitate and articulate this meta-communication component of knowledge building. This is particularly so in distance learning, where the meta-communication usually cannot occur outside the system, as it could in a face to face environment.
Robust signal estimation using H/sub /spl infin// criteria
Authors: S. Tavathia, J. F. Doherty
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

Kalman and Weiner filters are used extensively for implementation of optimal filters. These filters try to minimize variance of error when input signal and noise power spectral density (PSD) is known. Here we consider filters under H/sub /spl infin// setting. This paper shows the robust performance of H/sub /spl infin// filters under noise uncertainty. Optimization criteria for H/sub /spl infin// filters is represented in the time and frequency domain. From this representation it is shown that optimal H/sub /spl infin// filters place an upper bound on error PSD and error variance for a certain class of noise perturbations. It is shown that the estimation problem can be reduced to the model matching problem, which can be solved using /spl gamma/-iteration in the frequency domain. Simulations results are included to confirm the robust performance of these filters for noise PSD belonging to a certain class.
How Would You Feel versus How Do You Think She Would Feel? A Neuroimaging Study of Perspective-Taking with Social Emotions
Authors: Perrine Ruby
Venue: Journal of Cognitive Neuroscience (2004)

Perspective-taking is a complex cognitive process involved in social cognition. This positron emission tomography (PET) study investigated by means of a factorial design the interaction between the emotional and the perspective factors. Participants were asked to adopt either their own (first person) perspective or the (third person) perspective of their mothers in response to situations involving social emotions or to neutral situations. The main effect of third-person versus first-person perspective resulted in hemodynamic increase in the medial part of the superior frontal gyrus, the left superior temporal sulcus, the left temporal pole, the posterior cingulate gyrus, and the right inferior parietal lobe. A cluster in the postcentral gyrus was detected in the reverse comparison. The amygdala was selectively activated when subjects were processing social emotions, both related to self and other. Interaction effects were identified in the left temporal pole and in the right postcentral gyrus. These results support our prediction that the frontopolar, the somatosensory cortex, and the right inferior parietal lobe are crucial in the process of self/other distinction. In addition, this study provides important building blocks in our understanding of social emotion processing and human empathy.
Multi-agent coordination and control testbed for planning and scheduling strategies
Authors: Paul Verstraete, Paul Valckenaers, Hendrik Van Brussel, Karuna Hadeli, Bart Saint Germain
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

The Multi-Agent Coordination and Control (MACC) testbed is a modelling and simulation environment for manufacturing control. It provides benefits to both the research community and industry. It uses a multi-agent manufacturing execution system, developed at PMA.
Automated Facial Expression Classification and affect interpretation using infrared measurement of facial skin temperature variations
Authors: Masood Mehmood Khan, Michael Ingleby, Robert D. Ward
Venue: ACM Transactions on Autonomous and Adaptive Systems (TAAS) (2006)

Machines would require the ability to perceive and adapt to affects for achieving artificial sociability. Most autonomous systems use Automated Facial Expression Classification (AFEC) and Automated Affect Interpretation (AAI) to achieve sociability. Varying lighting conditions, occlusion, and control over physiognomy can influence the real life performance of vision-based AFEC systems. Physiological signals provide complementary information for AFEC and AAI. We employed transient facial thermal features for AFEC and AAI. Infrared thermal images with participants' normal expression and intentional expressions of happiness, sadness, disgust, and fear were captured. Facial points that undergo significant thermal changes with a change in expression termed as Facial Thermal Feature Points (FTFPs) were identified. Discriminant analysis was invoked on principal components derived from the Thermal Intensity Values (TIVs) recorded at the FTFPs. The cross-validation and person-independent classification respectively resulted in 66.28&percnt; and 56.0&percnt; success rates. Classification significance tests suggest that (1) like other physiological cues, facial skin temperature also provides useful information about affective states and their facial expression; (2) patterns of facial skin temperature variation can complement other cues for AFEC and AAI; and (3) infrared thermal imaging may help achieve artificial sociability in robots and autonomous systems.
An Intelligent Intrusion Detection and Response System Using Network Quarantine Channels: Adaptive Policies and Alert Filters
Authors: Emmanuel Hooper
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Intrusion detection systems are used to identify suspicious network traffic. However, a high percentage of alerts generated by such systems are liable to be false positives. Since these alerts typically require manual intervention from a network administrator, false positives create considerable administrative overheads. In order to reduce the number of false positives, we propose a new network protection component called a network quarantine channel, which is used to perform some additional interaction with hosts that have been identified as the source of suspicious traffic. The network quarantine channel is used to provide a more accurate assessment of the threat posed by a suspicious host, before alerting the network administrator.
Verification and implementation of delay-insensitive processes in restrictive environments
Authors: Hemangee K. Kapoor, Mark B. Josephs, Dennis P. Furey
Venue: Fundamenta Informaticae (2005)

A delay-insensitive module communicates with its environment through wires of unbounded delay. To avoid transmission interference, the absorption of a signal transition must be acknowledged before another one is propagated along the same wire. The environment may guarantee, however, to interact with the module in an even more restrictive way. It is worthwhile taking this into account when synthesising the module because it may allow for a cheaper, faster implementation. The concept of restriction has been built into our translation tool, di2pn (to help in synthesis), and our analysis tool, diana (to perform equivalence and refinement checking).Formally, DI-Algebra is equipped with a new operator that weakens the specification of a module by taking its environment into account. This operator is a useful instance of divergence extension, a concept introduced by Mallon. Divergence extension in general, and restriction and alternation in particular, can be represented with the parallel composition operator and so are amenable to algebraic reasoning.
A Survey on Robust Model Predictive Control from 1999-2006
Authors: Ali A. Jalali, Vahid Nadimi
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

This paper provides an overview of methods on Robust Model Predictive Control (RMPC) from 1999- 2006. First, some optimization problems in Model Predictive Control (MPC) have been reviewed. Then, the methods based on model uncertainty and the methods, which are using disturbance uncertainties, based on optimization problem are considered. Finally, applied and simulated methods of proposed problem are stated.
Application of control algorithm in a sliding mode in spectrum measurement system and growing of crystals
Authors: A. A. Khachaturova, V. S. Mkrttchian
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

The algorithm in a sliding mode that can be used for adaptive temperature control of a heating system for spectrum measurement systems and growing of crystals is presented. This paper is aimed not only at stating and developing the results obtained in the sphere of discontinuous system design, but also at presenting these results in close correlation with the basic concepts, problems and methods of theoretical aspects of present day control theory. Implementation of this approach implies the knowledge of the conditions of the occurrence of sliding mode, for which purpose a sliding mode indicator has been developed. The Sliding Mode controller by means the Lab View graphical programming language under Windows 1998 environment is proposed. The controller program consist of the following separate blocks: the block for acquiring of data from the thermal point block; the programmer block (set points), which ensures the desired temperature profile and provides the linear dependent voltage (or temperature) of a few desired slot time of different duration; the block responsible for the knowledge of conditions of the occurrence of SM, the so-called indicator; the observer block, which identifications the state vector of the system; block of anticipatory compensation; block of PID regulator.
Rule-Based Learning Systems for Support Vector Machines
Authors: Haydemar Núñez, Cecilio Angulo, Andreu Català
Venue: Neural Processing Letters (2006)

In this article, we propose some methods for deriving symbolic interpretation of data in the form of rule based learning systems by using Support Vector Machines (SVM). First, Radial Basis Function Neural Networks (RBFNN) learning techniques are explored, as is usual in the literature, since the local nature of this paradigm makes it a suitable platform for performing rule extraction. By using support vectors from a learned SVM it is possible in our approach to use any standard Radial Basis Function (RBF) learning technique for the rule extraction, whilst avoiding the overlapping between classes problem. We will show that merging node centers and support vectors explanation rules can be obtained in the form of ellipsoids and hyper-rectangles. Next, in a dual form, following the framework developed for RBFNN, we construct an algorithm for SVM. Taking SVM as the main paradigm, geometry in the input space is defined from a combination of support vectors and prototype vectors obtained from any clustering algorithm. Finally, randomness associated with clustering algorithms or RBF learning is avoided by using only a learned SVM to define the geometry of the studied region. The results obtained from a certain number of experiments on benchmarks in different domains are also given, leading to a conclusion on the viability of our proposal.
Enhancing customer value through IT investments: a NEBIC perspective
Authors: Kevin E. Dow, Gary Hackbarth, Jeff Wong
Venue: ACM SIGMIS Database (2006)

The Net-Enabled Business Innovation Cycle (NEBIC) is a holistic theory that describes a pathway firms may use to leverage net-enablement. We assert that the strategic information system role constructs used in past studies are related to the stages found in the NEBIC. This suggests that information technology announcement studies should consider the role of net-enablement in creating customer value. We use the event study methodology to test the market's reaction to 298 announcements of technology investments that correspond to different information technology role constructs and the related NEBIC stages. Our findings suggest that customer value is added to firms through the value creation process described by the NEBIC.
UCSOA: User-Centric Service-Oriented Architecture
Authors: Mark Chang, Jackson He, W. T. Tsai, Bingnan Xiao, Yinong Chen
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

This paper introduces a new user-centric serviceoriented architecture (UCSOA) that allows end users to compose applications. UCSOA is an extension of consumer-centric service-oriented architecture CCSOA), which is an extension of conventional SOA. The conventional SOA is producer-centric because service providers publish their services and service consumers must search available services to compose their applications. CCSOA is different as it allows consumers publish their needs including workflows and services, and let producers to produce services to meet the requirements. Based on CCSOA, UCSOA provides support for end users. An application builder is an engineer who has both domain and programming knowledge, while an end user has little knowledge on programming and thus UCSOA needs to allow nontechnical persons to compose their applications. This paper presents the concepts, architecture, enabling techniques, and illustrative examples.
On the equivalence between Gamma and Laguerre filters
Authors: T. Oliveira e Silva
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

Proves the equivalence between the Gamma and Laguerre filters. Applying the optimal conditions for Gamma filters, which are easy to obtain, the author arrives at the optimal conditions for Laguerre filters. Curiously these conditions are the same as those of a truncated Laguerre series approximation, which corresponds to the usage of an impulse as the input of the Laguerre filter. The author illustrates these results with an example. The author also investigates the relative merits of both structures in an adaptive filter setup. 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
Comparative Assessment of the Effectiveness of Online Vs Paper Based
Authors: Suzanna Paul
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Although online learning is shifting the teaching paradigm at tertiary institutions, there are limited studies that assess the effectiveness of online courses, particularly in the occupational and environmental health field and among mature aged students. The main aim of this study was to evaluate the effectiveness of online ì Blackboardî units as compared to traditional ì paper basedî units taught as part of the Professional Masters in Occupational and Environmental Health at the Edith Cowan University. Unit commencement and completion questionnaires were designed and distributed over two academic semesters to evaluate studentsí perceptions of the effectiveness of the modes of delivery. To obtain more detailed information, a focus group meeting was conducted. In addition lecturers were interviewed. It was found that online students and those studying both online and paper based units had significantly more lecturerstudent and peer interactions than those studying solely paper based units. Furthermore it was established that in both teaching modes, students and some lecturers had challenges and that neither teaching method was regarded as being significantly better than the other. The level of student and lecturers satisfaction with online learning was high and with appropriate strategies, there is the potential for online learning to be more effective.
Performance evaluation of a wavelet-based spectral method for steady-state simulation analysis
Authors: Emily K. Lada, James R. Wilson, Natalie M. Steiger, Jeffrey A. Joines
Venue: Proceedings of the 36th conference on Winter simulation (2004)

We summarize the results of an experimental performance evaluation of WASSP, an automated wavelet-based spectral method for constructing an approximate confidence interval on the steady-state mean of a simulation output process so that the delivered confidence interval satisfies user-specified requirements on absolute or relative precision as well as coverage probability. We applied WASSP to test problems designed specifically to explore its efficiency and robustness in comparison with ASAP3 and the Heidelberger-Welch algorithm, two sequential procedures based respectively on the methods of nonoverlapping batch means and spectral analysis. Concerning efficiency, WASSP compared favorably with its competitors, often requiring smaller sample sizes to deliver confidence intervals with the same nominal levels of precision and coverage probability. Concerning robustness against the statistical anomalies commonly encountered in simulation studies, WASSP outperformed its competitors, delivering confidence intervals whose actual half-lengths and coverage probabilities were frequently closer to the corresponding user-specified nominal levels.
Energy-aware lossless data compression
Authors: Kenneth C. Barr, Krste Asanović
Venue: ACM Transactions on Computer Systems (TOCS) (2006)

Wireless transmission of a single bit can require over 1000 times more energy than a single computation. It can therefore be beneficial to perform additional computation to reduce the number of bits transmitted. If the energy required to compress data is less than the energy required to send it, there is a net energy savings and an increase in battery life for portable computers. This article presents a study of the energy savings possible by losslessly compressing data prior to transmission. A variety of algorithms were measured on a StrongARM SA-110 processor. This work demonstrates that, with several typical compression algorithms, there is a actually a net energy increase when compression is applied before transmission. Reasons for this increase are explained and suggestions are made to avoid it. One such energy-aware suggestion is asymmetric compression, the use of one compression algorithm on the transmit side and a different algorithm for the receive path. By choosing the lowest-energy compressor and decompressor on the test platform, overall energy to send and receive data can be reduced by 11&percnt; compared with a well-chosen symmetric pair, or up to 57&percnt; over the default symmetric zlib scheme.
A convergent algorithm for FIR system identification using higher-order cumulants
Authors: S. Mo, B. Shafai
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

A new adaptive blind system identification scheme is proposed for a non-Gaussian white-noise-driven linear, nonminimum phase finite impulse response (FIR) system. A two-step coarse-to-fine identification procedure is developed. Utilizing the fourth-order cumulants of the system output, the method changes the nonlinear identification problem in the cumulant domain into a linear problem to make the algorithm converge. The whole set of cumulants available is involved in the identification procedure to speed up the convergence. Theoretical results are given and computer simulation results are also presented in support of the theory.
Investigating Agent Strategies within a Complex Adaptive System of Purchasing Agents for Estimating Attribute Relevance
Authors: Christopher N. Eichelberger, Mirsad Hadzikadic
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

The authors constructed a complex adaptive system of purchasing agents, and have used this software to estimate the relevance of attributes in a data set. The simulation supports the creation of arbitarily complex and diverse agent strategies. The effect of altering the proportion of two different agent strategies is investigated and reported, and constrasted with two non-CAS strategies based on information-gain variants.
Wavelets of composite type
Authors: J. E. Gilbert, J. D. Lakey
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

A composite wavelet transform is defined and conditions for stable signal recovery are characterized. Frames for the space of finite energy signals then arise as discrete families of composite wavelets. These wavelet-type frames incorporate advantages of both the short-time Fourier transform and the continuous wavelet transform and are signal adaptive. As with the time-frequency atoms in work of Mallat and Zhang, the composite wavelets can be used to analyze competing signal structures. The added frame condition provides extra numerical stability.
P2P Sharing within the Semantic Hifi European Project
Authors: Jens Hasselbach
Venue: Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (2006)

The following paper summarizes the results of the European Project "Semantic Hifi" within the field of P2P (peer-to- peer) sharing. In order to meet the demand for preserving IPR (intellectual property rights) related to the contents to be shared, several additional components were added on top of the JXTA framework. Those components as well as their integration into the JXTA framework will be described in detail.