ppxscal/embedding_network huggingface dataset:
Hydro Plant Dispatch Using Artificial Neural Network and Genetic Algorithm
Authors: Po-Hung Chen
Venue: Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III (2007)

This paper presents a novel approach to solve the hydro plant dispatch problem based on the artificial neural network (ANN) and genetic algorithm (GA). In this work, the difficult water balance constraints are embedded and satisfied throughout the proposed encoding and decoding algorithms. The ANN is used as a pre-dispatch tool to generate raw hydro output for each hour temporarily ignoring time-dependent constraints. Then, the proposed decoding algorithm decodes the raw schedule of each plant into a feasible one. Finally, a GA is used to find the optimal schedule. The proposed approach is applied to an actual utility system of four hydro plants and 22 thermal units with great success. Results show that the new approach obtains a more highly optimal solution than the conventional dynamic programming method. 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
Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection
Authors: Georgia D. Tourassi, Amy C. Sharma, Swatee Singh, Robert S. Saunders, Joseph Y. Lo, Ehsan Samei, Brian P. Harrawood
Venue: Proceedings of the 9th international workshop on Digital Mammography (2008)

We have performed a series of experiments to assess whether a featureless, knowledge-based CADe system that relies on information theoretic principles is capable of transferring knowledge across cases acquired with different imaging modalities. Typical feature-based CADe systems are developed and carefully optimized for a specific imaging modality and platform, namely for screen-film mammograms (SFMs) digitized with a specific digitizer, or for full-field digital mammograms (FFDMs), or for the newly introduced digital breast tomosynthesis (DBT) modality. Multiplatform application of such CADe systems is often limited due to image processing steps that are tailored to the imaging modality and acquisition protocol. It is desirable however to develop CADe systems with the ability to adapt to a dynamically changing environment (i.e., imaging modality) and provide an accurate decision while capitalizing on knowledge acquired at different, yet related environments. Working towards this goal, we present a pilot study using a knowledge-based CADe system for mass detection that uses information theory to assess the similarity between a query and a knowledge case. We evaluate the system's ability to transfer knowledge across three imaging modalities (SFMs digitized with two different digitizers, FFDMs, and DBTs) when performing the detection task. Overall our study showed that although blind translation of the system in a new modality for which no prior knowledge exists results in reduced performance, the system is still able to operate at a very decent level. When the system operated with a knowledge database of mixed cases, its performance was robust and comparable to what observed independently.
A Twofold Fuzzy Region Model for Imprecise Quality Control of Geographic Information
Authors: Niels Charlier, Guy Tré, Sidharta Gautama, Rik Bellens
Venue: Proceeding sof the international conference on Computational Science and Its Applications, Part I (2008)

In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. We show how it is meaningful and practically useful in representing the knowledge that results from classified pixel data. By defining different operators on the model we are able to develop an imprecise quality report for geographic databases that actually uses the imperfect classification data as a reference. This allows us, despite the large amount of imperfection in geographic classifications, to use them for rather accurate error detection on geographic databases.
MODES: moving objects detection and extraction system
Authors: Adnan Khashman
Venue: Proceedings of the WSEAS International Conference on Applied Computing Conference (2008)

This paper introduces an automatic moving object detection and extraction system (MODES), which uses image processing to detect and extract moving objects within a monitored zone. Monitoring restricted areas such as international borders or buffer zones is of utmost importance; in particular with the worldwide increase of border conflicts, illegal immigration, and terrorism over the past decade. The proposed system is applied to detect movement by humans, animals or vehicles across an assumed secured area. Experimental results indicate that (MODES) provides a simple, efficient and fast solution to the problem of detecting and extracting moving objects within one system.
Studying the Performance of Quantum Evolutionary Algorithm Based on Immune Theory
Authors: Xiaoming You, Sheng Liu, Dianxun Shuai
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

A novel quantum evolutionary algorithm based on immune operator (MQEA) is proposed. The algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, immune cell can accomplish cross-mutation and Self-adaptive mutation, memory cells can be produced and similar antibodies can be suppressed. It not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed. The technique for improving the performance of MQEA has been described and its superiority is shown by some simulation experiments in this paper.
Frequent Hypergraph Mining
Authors: Tamás Horváth, Björn Bringmann, Luc Raedt
Venue: Inductive Logic Programming: 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007)

The class of frequent hypergraph mining problems is introduced which includes the frequent graph mining problem class and contains also the frequent itemset mining problem. We study the computational properties of different problems belonging to this class. In particular, besides negative results, we present practically relevant problems that can be solved in incremental-polynomial time. Some of our practical algorithms are obtained by reductions to frequent graph mining and itemset mining problems. Our experimental results in the domain of citation analysis show the potential of the framework on problems that have no natural representation as an ordinary graph.
Pedestrian Detection from a Moving Camera with an Advanced Camera-Motion Estimator
Authors: Arash Jalalian, Mahmood Fathy
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

Detecting pedestrians using conventional optical camera has got many problems. It’s difficult to be used to detect pedestrian using only single optical camera. Detecting pedestrians in a crowded environment from other objects is a very difficult task. This paper presents a method to detect multiple pedestrians from a moving camera. The detection component involves a cascade of modules. We used a supervised self organization map neural networks as our classification mechanism. First, each frame is divided into four parts then our proposed fast BMA (Block Matching Algorithm) is used to obtain four representative motion vectors from two consecutive input frames. Then frame differencing method, based on obtained representative motion vectors is applied to generate differenced image. Second, pedestrians are detected by the step that the differenced image is transformed into binary image, two level of noise reduction is then applied and then we used artificial neural networks as a second level of classification.
Group discussion on diagnostic checks
Authors: J. J. Eachus
Venue: Papers and discussions presented at the Dec. 8-10, 1953, eastern joint AIEE-IRE computer conference: information processing systems---reliability and requirements (1953)

A group of about 60 conference members met to discuss diagnostic checks. Many of the conferees contributed to the discussion but in this summary no attempt is made to associate the individual members or their affiliation with their comments. 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
Neonatal Intensive Care Information for Parents An Affective Approach
Authors: Saad Mahamood, Ehud Reiter, Chris Mellish
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

Based upon qualitative work done with former Neonatal Intensive Care Unit parents, we propose a potential user model to estimate the level of stress/anxiety that a parent is experiencing and how information given to such parents should be adjusted to meet their informational and emotional needs.
Writing with Your Eye: A Dwell Time Free Writing System Adapted to the Nature of Human Eye Gaze
Authors: Nikolaus Bee, Elisabeth André
Venue: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (2008)

We investigate the usability of an eye controlled writing interface that matches the nature of human eye gaze, which always moves and is not immediately able to trigger the selection of a button. Such an interface allows the eye continuously to move and it is not necessary to dwell upon a specific position to trigger a command. We classify writing into three categories (typing, gesturing, and continuous writing) and explain why continuous writing comes closest to the nature of human eye gaze. We propose Quikwriting, which was originally designed for handhelds, as a method for text input that meets the requirements of eye gaze controlled input best. We adapt its design for the usage with eye gaze. Based on the results of a first study, we formulate some guidelines for the design of future Quikwriting-based eye gaze controlled applications.
Performance Model Generation for MPSoC Design-Space Exploration
Authors: B. D. Theelen
Venue: Proceedings of the 2008 Fifth International Conference on Quantitative Evaluation of Systems (2008)

Multi-processor system-on-chip (MPSoC) design is profiting considerably from the trend towards model-driven design. Design choices in this area cover considerations on alternative parallellisations of application software, alternative architectures for the hardware platform and different ways to map applications onto the platform. Various paradigms exist for modelling applications and also for modelling platforms. This paper presents a tool for generating abstract performance models of MPSoC systems to further automate their design-space exploration. The tool supports several traditional paradigms for specifying applications and uses a new model of architecture to enable describing hardware platforms at a much higher abstraction level than traditional hardware description languages. The tool relies on a collection of modelling patterns to convert application and platform specifications together with a mapping into one unifying model expressed in a formal general-purpose modelling language that offers extensive support for performance analysis.
Local Hölder Regularity-Based Modeling of RR Intervals
Authors: Jacques Lévy Véhel, Olivier Barrière
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

We analyze the local regularity of RR traces from ECG through the computation of the so-called Hölder exponents. These exponents are at the basis of multifractal analysis, which has been shown to be relevant in the study of RR data. While multifractal analysis yields a global picture of the (statistical) distribution of regularity, we focus here on its time evolution. We show that this evolution is strongly correlated with the signal itself, a feature that seems to have remained unnoticed so far. We use this fact to build realistic synthetic RR traces.
Systems Development Processes
Authors: Gary Richardson, Blake Ives
Venue: Computer (2004)

Four key organizational processes must be in place for a successful IT development environment.
ICT and Cultural Heritage Education: Which Added Value?
Authors: Michela Ott, Francesca Pozzi
Venue: Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society (2008)

The present contribution aims at exploring how digital technologies can be fruitfully used in the field of Cultural Heritage for carrying out educational and awareness raising interventions. It is an attempt to underline the relevance of extending the potential of Educational Technology tools and methods to Cultural Heritage Education, two fields that have not largely been in touch so far. The paper aims at going beyond the idea that technology is a precious mean for offering closer/better view and easier access to cultural heritage artifacts; rather, by assuming a methodological perspective, the paper investigates the pedagogical impact that may derive from exploiting the potential of both technological tools and the related new educational models and approaches in the field of Cultural Heritage Education.
Supporting Security-Oriented, Collaborative nanoCMOS Electronics Research
Authors: Richard O. Sinnott, Thomas Doherty, David Martin, Campbell Millar, Gordon Stewart, John Watt
Venue: Proceedings of the 8th international conference on Computational Science, Part I (2008)

Grid technologies support collaborative e-Research typified by multiple institutions and resources seamlessly shared to tackle common research problems. The rules for collaboration and resource sharing are commonly achieved through establishment and management of virtual organizations (VOs) where policies on access and usage of resources by collaborators are defined and enforced by sites involved in the collaboration. The expression and enforcement of these rules is made through access control systems where roles/privileges are defined and associated with individuals as digitally signed attribute certificates which collaborating sites then use to authorize access to resources. Key to this approach is that the roles are assigned to the right individuals in the VO; the attribute certificates are only presented to the appropriate resources in the VO; it is transparent to the end user researchers, and finally that it is manageable for resource providers and administrators in the collaboration. In this paper, we present a security model and implementation improving the overall usability and security of resources used in Grid-based e-Research collaborations through exploitation of the Internet2 Shibboleth technology. This is explored in the context of a major new security focused project at the National e-Science Centre (NeSC) at the University of Glasgow in the nanoCMOS electronics domain.
Corticopetal Acetylcholine: Possible Scenarios on the Role for Dynamic Organization of Quasi-Attractors
Authors: Hiroshi Fujii, Kazuyuki Aihara, Ichiro Tsuda
Venue: Neural Information Processing: 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I (2007)

A new hypothesis on a possible role for the corticopetal acetylcholine (ACh) is provided from a dynamical systems standpoint. The corticopetal ACh helps to transiently organize a global (inter- and intra-cortical) quasi-attractors via gamma range synchrony when it is behaviorally needed as top-down attentions and expectation.
CAPSICUM A Conceptual Model for Service Oriented Architecture
Authors: Terry Roach, Graham Low, John D'Ambra
Venue: Proceedings of the 2008 IEEE Congress on Services - Part I (2008)

As technology evolves, so too must the models and frameworks for representing information systems. For IT practitioners to fully embrace and deploy a service oriented architectural model, existing frameworks for planning, designing and implementing systems need to be updated to support the SOA concepts of loosely coupled services and real-time process orchestration. The siloed architectural reality that has prevailed over the last two decades is outdated, obsolete and a hindrance to delivering the agility and flexibility demanded by modern enterprises. Organisations have demonstrated a desire to demolish application silos and to begin to take an enterprise view to the organisation of IT resources. It is therefore appropriate that to support the evolving SOA architectural paradigm, the conceptual frameworks used to guide strategy and manage the deployment of SOA designs need to be reviewed.Existing research has primarily focused on the technologies that support SOA deployments and the technical delivery of service based platforms. Very little research is available on the contribution of SOA in aligning IT resources in support of business needs. This paper reviews the business challenges created by siloed, application-centric Enterprise Architectures, examines the potential that SOA principles offer in addressing these issues and proposes a conceptual model for SOA driven business transformation through an enterprise alignment of computing resources.
A Novel Wavelet Image Fusion Algorithm Based on Chaotic Neural Network
Authors: Hong Zhang, Yan Cao, Yan-Feng Sun, Lei Liu
Venue: Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics (2008)

In this paper, Transiently Chaotic Neural Network (TCNN) is used in wavelet image fusion method. This paper adopts the weighted average strategy for the fusion of the wavelet transform coefficients. The TCNN outputs the weighting coefficient of every wavelet transform pixel when the energy function of the neural network has achieved the global minimum. At the same time, the average gradient value of the region around every wavelet transform pixel gets the global maximum according to the relationship between the average gradient and energy. The wavelet transform coefficients of the fused image are got by using the weighting coefficients. The advantage of the algorithm is that the weighting coefficient is obtained through the dynamic searching optimization of the average gradient. Experiments show that the average gradient values of the fusion images using the proposed method are greater than the results using the region energy method. The TCNN method improves the performance of the fusion image effectively.
An OMNeT++ model for the evaluation of OBS routing strategies
Authors: A. L. Barradas, M. C. R. Medeiros
Venue: Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops (2008)

Optical Burst Switching (OBS) has been proposed as a cost-effective paradigm for supporting, with adequate flexibility, the increasingly high transmission capacity required by the forthcoming next generation of optical internet networks. However, OBS efficiency can be reduced by resource contention of bursts directed to the same transmission links, leading to burst loss. This paper presents a discrete event simulation model and its implementation using OMNeT++ aimed at the evaluation of different routing strategies in terms of link contention. The simulation model is used to compare the performance of novel path selection strategies proposed in [1] with the traditional routing strategy that uses the shortest path. The simulation results confirm that the proposed path selection strategies are effective in reducing the overall network burst drop probability.
A Qualitative Study of Culture and Persuasion in a Smoking Cessation Game
Authors: Rilla Khaled, Ronald Fischer, James Noble, Robert Biddle
Venue: Proceedings of the 3rd international conference on Persuasive Technology (2008)

To explore the issue of culture in persuasive technology, we identified strategies distinguishing individualist or collectivist audiences, and developed two versions of a prototype game. In this paper we report on a qualitative study of this game. The game concerned smoking cessation, and was set in a New Zealand context, where one version was designed for individualist New Zealand Europeans, and the other for collectivist New Zealand M¿ori. Our qualitative study involved people from each group playing each of the two games. Using a "think-aloud" protocol, we recorded player comments and reflections that show the effect of our design on their behaviour. The results of the study show the designs were interpreted differently according to the audiences playing them, and reveal detail about culture and persuasion.
Improving the Introduction to a Collaborative Project-Based Course on Computer Network Applications
Authors: Felix Freitag, Leandro Navarro, Joan Manuel Marquès
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

In engineering studies, there is a shift to new teaching methodologies with focus on the student involvement, like project-based learning. Project-based learning courses, however, often relay on a previous course where the technical background to be used in the projects is taught, requiring this way two terms for an area. In this paper, we consider a project-based course on computer network applications, which has been designed to cover both the technical and non-technical content in only one term. In the three years we have been teaching this course, our observation based on questionnaires is that the organization of the course allows to successfully reaching the course objectives. We feel, however, that we do not fully exploit the learning potential the course could have in the first few weeks of the course. We describe how the course is organized and the problems we have identified. We propose a project demonstration tool and describe how our solution improves towards our goals. With the proposed tool, the students should better obtain already in the very first days of the course a clear vision about the projects, allowing fully taking advantage of the opportunities which the course offers. format.
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
Authors: Rashidi Khazaee Parviz, Mozayani Nasser, M. R. Motlagh
Venue: Proceedings of the 18th international conference on Artificial Neural Networks, Part I (2008)

In this paper we have presented an Integrated Wavelet Neural Network (WNN) model and Mutual Information (MI)-based input selection algorithm for time series prediction. Based on MI the proper input variables, which describe the time series' dynamics properly, will be selected. The WNN Prediction model uses selected variables and predicts the future. This model utilized for time series prediction benchmark in NN3 competition and sunspot data. Comprehensive results show that integrated Mutual information based input variable selection algorithm and wavelet network based prediction model, which uses selected variable from lagged value, outperforms other models in prediction of time series.