ppxscal/embedding_network huggingface dataset:
Multiagent-based adaptive pervasive service architecture (MAPS)
Authors: Ray-Yuan Sheu, Michael Czajkowski, Martin O. Hofmann, Greg Schow
Venue: Proceedings of the 3rd workshop on Agent-oriented software engineering challenges for ubiquitous and pervasive computing (2009)

In this paper, we describe a multiagent-based adaptive ad-hoc pervasive service architecture. It provides dynamic context-aware service and operation management including semantic service match-making, composition, execution, monitoring, and autonomic recovery. The intended application is decision support in tactical field operations. This domain requires dynamic adaptive composition of services, resources, and assets via ubiquitous and pervasive computing devices connected by mobile wireless peer-to-peer networks. Our goal is to provide on-demand pervasive services to meet users' dynamic situational information needs. Our solution uses distributed peer service composition agents to adaptively weave within and across three abstract service layers, i.e., the agent-based peer service composition agent layer, the agent-based wrapper service layer, and the resource and asset layer.
Participative Web And User-Created Content: Web 2.0 Wikis and Social Networking
Authors: Graham Vickery, Sacha Wunsch-Vincent
Venue:  (2007)

The Internet is becoming increasingly embedded in everyday life. Drawing on an expanding array of intelligent web services and applications, a growing number of people are creating, distributing and exploiting user-created content (UCC) and being part of the wider participative web. This study describes the rapid growth of UCC and its increasing role in worldwide communication, and draws out implications for policy. Questions addressed include: What is user-created content? What are its key drivers, its scope and different forms? What are the new value chains and business models? What are the extent and form of social, cultural and economic opportunities and impacts? What are the associated challenges? Is there a government role, and what form could it take?
Genetic algorithm in time series fatigue analysis
Authors: Azami Zaharim, Shahrum Abdullah, Mohammad Darahim Ibrahim, Zulkifli Mohd Nopiah
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

This paper is described the analysis of fatigue road loading using the genetic algorithm approaches. This approach is based on a partitional clustering. A new method for temporal pattern matching of a time series is developed using pattern wavelets and genetic algorithms. This method is used to clustering the data into a sequence of a nested partition. Fatigue damage cumulating is a random variable in essence. It is caused by variable amplitude loading. The randomness comes from the loading process and fatigue resistance of material. This modulation is developed as a mathematical method that can be implemented directly into existing evolutionary algorithms without writing special operators and changing the program loop. This article is presented in order to solve some theoretical and practical issues in evolutionary algorithms like numerical bounded variables, dynamic focalized search, dynamic control of diversity and feasible region analysis. Finally it is suggested that the genetic algorithm approach provided a good platform for analyzing the time series in the aspect of the durability research.
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
Authors: Hidenao Abe, Shusaku Tsumoto
Venue: Fundamenta Informaticae (2009)

In datamining post-processing, rule selection with objective rule evaluation indices is one of useful methods for extracting valuable knowledge from mined patterns. However, the relationship between an index value and experts' criteria has never been clarified. In order to determine the relationship, we have developed a method to obtain learning models from a dataset consisting of objective rule evaluation indices and evaluation labels for rules. In this study, we have compared accuracies of classification learning algorithms for datasets with randomized class labels. Then, the result shows that accuracies of classification learning algorithms without any criterion of a human expert can not outperform each percentage of majority class on both of the balanced and imbalanced class distribution datasets. With regarding to this result, we can determine whether or not a labeled rule set contains some criteria based on the dataset consisting the objective rule evaluation indices.
Technology Lessons For The Classroom: Integrated Multimedia Volume 1
Authors: Charlotte Haley, Rene Fuller, David Hoerger
Venue:  (2007)

This book contains over 126 integrated technology lessons created to support the core curriculum for grades 8 12. These lessons are appropriate for use in core classes as well as a variety of technology classes. Additional teaching resources are included such as examples, presentations to introduce specific topics, photos for editing, and websites. Includes multimedia, project-based, core-curriculum lesson plans with correlation to the Standards.
Daily Routine Recognition through Activity Spotting
Authors: Ulf Blanke, Bernt Schiele
Venue: Proceedings of the 4th International Symposium on Location and Context Awareness (2009)

This paper explores the possibility of using low-level activity spotting for daily routine recognition. Using occurrence statistics of low-level activities and simple classifiers based on their statistics allows to train a discriminative classifier for daily routine activities such as working and commuting. Using a recently published data set we find that the number of required low-level activities is surprisingly low, thus, enabling efficient algorithms for daily routine recognition through low-level activity spotting. More specifically we employ the JointBoosting-framework using low-level activity spotters as weak classiers. By using certain low-level activities as support, we achieve an overall recall rate of over 90% and precision rate of over 88%. Tuning down the weak classifiers using only 2.61% of the original data still yields recall and precision rates of 80% and 83%.
E-Mentoring for All
Authors: Carmit-Noa Shpigelman, Patrice L. (Tamar) Weiss, Shunit Reiter
Venue: Computers in Human Behavior (2009)

Electronic mentoring appears to have great potential for youth with special needs since it is an accessible communication medium that provides an opportunity to exchange practical information and support and to experience an accepting relationship with less prejudice. To date, few electronic mentoring intervention programs have been designed especially to support the psychological needs of youth with special needs. This paper presents the results of a study that evaluated an electronic mentoring intervention program designed to provide social and emotional support for proteges with disabilities by mentors who also have disabilities. Using a primarily qualitative research design, the study characterized the electronic mentoring process and its contributions to this population. The findings provided support for the potential of electronic mentoring for personal development and empowerment of youth with special needs. Furthermore, the findings supported the usability and utility of the e-mentoring intervention based on a conceptual framework that characterized an electronic support process for people with special needs. Implications for implementing feasible electronic mentoring programs are discussed.
Large Diffeomorphic FFD Registration for Motion and Strain Quantification from 3D-US Sequences
Authors: Mathieu Craene, Oscar Camara, Bart H. Bijnens, Alejandro F. Frangi
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

This paper proposes a new registration method for the in vivo quantification of cardiac deformation from a sequence of possibly noisy images. Our algorithm has been applied to 3D ultrasound (3D-US) images, which currently give a reasonable spatial and time resolution, but suffer from significant acquisition noise. Therefore, this modality requires the design of a robust strategy to quantify motion and deformation with the clinical aim of better quantifying cardiac function e.g. in heart failure. In the proposed method, referred to as Large Diffeomorphic Free Form Deformation (LDFFD), the displacement field at each time step is computed from a smooth non-stationary velocity field, thus imposing a coupling between the transformations at successive time steps. Our contribution is to extend this framework to the estimation of motion and deformation in an image sequence. Similarity is captured for the entire image sequence using an extension of the pairwise mutual information metric. The LDFFD algorithm is applied here to recover longitudinal strain curves from healthy and Left-Bundle Branch Block (LBBB) subjects. Strain curves for the healthy subjects are in accordance with the literature. For the LBBB patient, strain quantified before and after Cardiac Resynchronization Therapy show a clear improvement of cardiac function in this subject, in accordance with clinical observations.
The Ontological Square and its Logic
Authors: Luc Schneider
Venue: Proceeding of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008) (2008)

The Ontological Square is a four-categorial scheme that is obtained by crossing two formal distinctions which underpin conceptual modelling languages and top-level ontologies alike: that between types (or universals) and tokens (or particulars) on the one hand, and that between characters (or features) and their bearers (or substrates) on the other hand. Thus the Ontological Square consists of particular substrates, called substances, and universal substrates, called kinds, as well as particular characters, called modes or moments, and universal characters, called attributes. In this article, I try to elucidate the basic ontological assumptions underlying this four-category scheme and I propose a calculus of many-sorted second-order logic that is meant to capture these intuitions by an enrichment of standard atomic logical form. A first-order semantics can be designed for such a Logic of the Ontological Square, with respect to which the latter's soundness can be established.
A Speech Act Theory-based information model to support design communication through annotations
Authors: Onur Hisarciklilar, Jean-François Boujut
Venue: Computers in Industry (2009)

The aim of this paper is to describe an annotation model based around design representations. The model tends to promote more successful co-operation between design actors and enables more systematic knowledge sharing. Our annotation model is a set of digital artefacts, which have a semantic dimension. These artefacts aim to improve the design communication through the elicitation of knowledge about the context. We develop a linguistics pragmatics approach, based on Speech Act Theory to characterise annotations in design co-operation. By following the utterance and illocutionary force concepts, we develop locutionary and illocutionary annotation acts concepts. Then, we present an information model on the basis of these concepts. Finally, we propose functionalities for an annotation tool based on our approach.
Enhancing situational awareness through neural regulation of take-off and landing manoeuvres in unmanned helicopter
Authors: Igor Astrov, Andrus Pedai
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

This paper focuses on a critical component of the situational awareness, the neural control of autonomous vertical flight for an unmanned aerial vehicle. Application of the proposed two stage flight strategy which uses two autonomous adaptive neural dynamical feedback controllers was carried out for a nontrivial small-scale helicopter model comprising five states and two inputs. This control strategy for chosen helicopter model has been verified by simulation of take-off and landing manoeuvres using software package Simulink and demonstrated good performance for fast situational awareness in real-time search-and-rescue operations.
A Novel MAC Protocol for Event-Based Wireless Sensor Networks: Improving the Collective QoS
Authors: Cristina Cano, Boris Bellalta, Jaume Barceló, Anna Sfairopoulou
Venue: Proceedings of the 7th International Conference on Wired/Wireless Internet Communications (2009)

WSNs usually combine periodic readings with messages generated by unexpected events. When an event is detected by a group of sensors, several notification messages are sent simultaneously to the sink, resulting in sporadic increases of the network load. Additionally, these messages sometimes require a lower latency and higher reliability as they can be associated to emergency situations. Current MAC protocols for WSNs are not able to react rapidly to these sporadic changes on the traffic load, mainly due to the duty cycle operation, adopted to save energy in the sensor nodes, resulting in message losses or high delays that compromise the event detection at sink. In this work, two main contributions are provided: first, the collective QoS definitions are applied to measure event detection capabilities and second, a novel traffic-aware Low Power Listening MAC to improve the network response to sporadic changes in the traffic load is presented. Results show that the collective QoS in terms of collective throughput, latency and reliability are improved maintaining a low energy consumption at each individual sensor node.
Hermes: a travel through semantics on the data web
Authors: Haofen Wang, Thomas Penin, Kaifeng Xu, Junquan Chen, Xinruo Sun, Linyun Fu, Qiaoling Liu, Yong Yu, Thanh Tran, Peter Haase, Rudi Studer
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

The Web as a global information space is developing from a Web of documents to a Web of data. This development opens new ways for addressing complex information needs. Search is no longer limited to matching keywords against documents, but instead complex information needs can be expressed in a structured way, with precise answers as results. In this paper, we demonstrate Hermes, an infrastructure for data web search. To provide an end-user oriented interface, we support expressive keyword search by translating user information needs into structured queries. We integrate heterogeneous web data sources with automatically computed mappings. Schema-level mappings are exploited in constructing structured queries against the integrated schema. These structured queries are decomposed into queries against the local web data sources, which are then processed in a distributed way.
Simulation Study of Public Goods Experiment
Authors: Zhi Tang, Jian Wu, Wei Shi, Jing Wang, Hanyi Xu
Venue: Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (2009)

This paper built a simulation system of Public Goods Experiment to study the Conditional Cooperation. The study of this paper was divided into 3 parts including the execution of Public Goods Experiment in laboratory, the BPNN (Back Propagation Neural Networks) modeling of the resulting data of the former experiments and finally the developing of a simulation system of Public Goods Experiment. The results of the simulation show that displaying the number and name of people who have endowed to the Public Goods Pool instantly is the best condition for stimulating Conditional Cooperation which also means the best information displaying condition of avoiding free riders.
Improvement of oil recovery using a novel biosurfactant produced by Alcaligenes faecalis
Authors: Hossein Salehizadeh, Saleh Mohammadizad
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

A new isolate belonging to Alcaligenes faecalis extracellularly produced a strong Surface active agent (1.2±0.05 gl-1) after growing on molasses. The highest surface tension reduction was determined to level 20 mN/m under optimum conditions at 50°C. The optimum values of carbon to nitrogen ratio (C/N), salinity, pH, and temperature obtained were 60:1, 7.5%, 7.0 and 50°C, respectively using Taguchi experimental design method. In Laboratory-scale core flooding experiments with biosurfactant, the oil recovery of crude oil was increased from 41% and 44% to 51.7% and 49.6% of original oil in place for permeabilities of 1 and 54 mD, respectively.
Quicken 2008 For Dummies
Authors: Stephen L. Nelson
Venue:  (2007)

If youve considered using financial software to handle your personal finances, Quicken 2008 just might be the tool youve been looking for. Quicken is Americas top-selling personal finance software. It can help you manage the money for both your household and your small business, while Quicken 2008 For Dummies can help you manage Quicken. With the number of individual bankruptcies at an alarming level, personal financial management needs to be a priority for each of us. You dont have to be an accounting wizard to handle your personal finances on a PC, especially with the friendly, plain-English explanations in Quicken 2008 For Dummies! Written by a CPA who provides consulting services on accounting and tax planning to small businesses, Quicken 2008 For Dummies shows you how to: Install Quicken and run Express Setup Handle your checkbook, pay bills, and track your income Monitor and assess your investments Track loans and credit card activity Understand how interest compounds and what it costs when you borrow, as well as how it adds up when you invest Create charts and reports to show how youre doing Use Quicken to handle your small business finances Prepare payroll and track accounts receivable and payable Quicken 2008 For Dummies may not make managing your finances exactly fun, but its guaranteed to make the job easier. 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
A theoretical perspective on social agency
Authors: Alessandro Pollini
Venue: AI Society (2009)

In interacting with artificial social agents, novel forms of sociality between humans and machines emerge. The theme of Social Agency between humans and robots is of emerging importance. In this paper key theoretical issues are discussed in a preliminary exploration of the concept. We try to understand what Social Agency is and how it is created by, negotiated with, and attributed to artificial agents. This is done in particular considering socially situated robots and by exploring how people recognize and accept social agents. The interplay between humans and agents is investigated through dynamics of interpretation, signification and attribution. The ultimate goal of this research is to explore the challenges and opportunities brought by the design of socially intelligent agents.
A prediction model for blood-brain barrier permeation and analysis on its parameter biologically
Authors: Yan Chen, Qing-Jun Zhu, Jian Pan, Yi Yang, Xiao-Pei Wu
Venue: Computer Methods and Programs in Biomedicine (2009)

The objective of this paper is to build a reliable model based on the artificial neural network (ANN) for predicting the blood-brain barrier (BBB) permeability and reveal the effects of the molecular descriptor on the BBB permeability. Eight descriptors including high-affinity P-gp substrate probability and plasma protein binding ratio are selected to develop the model. The three layers feedforward neural network (8-5-1) is employed for the prediction of logBB. By analyzing the experimental results, polar surface area (PSA) seems to be the most important factor for BBB permeability. Different from traditional view, the Abraham's hydrogen-bond basicity (HBB) can make a positive contribution to logBB in rational range. The experimental results show that the ANN based model with eight selected descriptors as inputs can achieve good performance for logBB prediction, and the results of sensitivity analysis can be confirmed by the present biological and chemical research.
Intrinsic vs. extrinsic evaluation measures for referring expression generation
Authors: Anja Belz, Albert Gatt
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

In this paper we present research in which we apply (i) the kind of intrinsic evaluation metrics that are characteristic of current comparative HLT evaluation, and (ii) extrinsic, human task-performance evaluations more in keeping with NLG traditions, to 15 systems implementing a language generation task. We analyse the evaluation results and find that there are no significant correlations between intrinsic and extrinsic evaluation measures for this task.
Assessing the Quality of a Web-based Learning System for Nurses
Authors: Chi-Yuan Chen, Ray-E Chang, Ming-Chien Hung, Mei-Hsin Lin
Venue: Journal of Medical Systems (2009)

Continuing professional education is essential for nurses to update their clinical skills and knowledge to meet the complex demands of current patient care. Compared to traditional in-class continuing education, a web-based learning system is efficient for nurses with a three shift-working schedule and is timely to deliver knowledge about newly emerging epidemics such as Severe Acute Respiratory Syndrome. Many studies reveal the advantages of various web-based learning systems but seldom evaluate them from the perspective of quality. This study develops an instrument to assess the quality of a web-based learning system for nurses' continuing education based on the quality dimensions of a mature information systems success model. The research results show that all indicators of the instrument provide a fit to the quality measurement of a web-based learning system and have high reliability and validity. Based on the research findings, implications and limitations are discussed.
Operators for propagating trust and their evaluation in social networks
Authors: Chung-Wei Hang, Yonghong Wang, Munindar P. Singh
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Trust is a crucial basis for interactions among parties in large, open systems. Yet, the scale and dynamism of such systems make it infeasible for each party to have a direct basis for trusting another party. For this reason, the participants in an open system must share information about trust. However, they should not automatically trust such shared information. This paper studies the problem of propagating trust in multiagent systems. It describes a new algebraic approach, shows some theoretical properties of it, and empirically evaluates it on two social network datasets. This evaluation incorporates a new methodology that involves dealing with opinions in an evidential setting.