ppxscal/embedding_network huggingface dataset:
Services computing: architectures, protocols and applications
Authors: Louise E. Moser
Venue:  (2008)

Emerging technologies in the IT world that support services computing result in the development of new applications and the possibility of new business opportunities. To succeed in today&rsquo;s global environment, businesses must exploit cost-effective, easy-to-use infrastructure software that satisfies their unique computing and communication needs.With the growth of the Internet and distributed business-to-business activities, many enterprises need to connect to applications and systems in other enterprises outside their own firewall. Communication with applications in other enterprises presents new challenges. Business activities that span multiple enterprises also present challenges for the traditional transaction processing paradigm.As enterprises continue to exploit the opportunities that the Internet provides, the Service Oriented Architecture, Web Services and the Atom/RSS syndication technologies are becoming a form of enterprise distributed computing that is increasingly important both within and between enterprises.In this dissertation we address the challenges of integration of distributed enterprise applications at the architecture, protocol and application levels. Our Collaborative Computing Infrastructure facilitates interactions between distributed applications using the pull-based, event-based model of distributed computing. The use of Atom allows distributed applications to collaborate, even if they run on dissimilar computing platforms and are programmed in different programming languages.Our Database Fusion Infrastructure enables queries on a single database, rather than on multiple databases, possibly in different enterprises with different database schema and different database platforms. The Database Fusion Infrastructure provides Reliable Data Distribution, Consistent Data Replication and Database Aggregation.Our Reservation Protocol is an extended transaction protocol that supports business activities that span multiple enterprises. The Reservation Protocol exhibits better performance and consistency characteristics than distributed transactions based on either the Two Phase Commit Protocol or the Optimistic Two Phase Commit Protocol.As case studies for our research on Services Computing, we have investigated and applied the Service Oriented Architecture, Web Services and Atom/RSS, as well as the infrastructure software that we have developed, to multi-level supply chain management and distributed electronic healthcare applications.
Personalized Teaching of a Programming language over the web: Stereotypes and rule-based mechanisms
Authors: Konstantina Chrysafiadi, Maria Virvou
Venue: Proceeding of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering (2008)

In this paper we describe the student model that has been developed for a web-based educational application that teaches the programming language Pascal. The tutoring system is called Web_Tutor_Pas. The application adapts its responses to each individual student dynamically. The system's student model is web-based on a three-dimensional stereotype approach. One dimension concerns the knowledge level of the student the second dimension concerns the type of programming errors (logical or syntax) and the third concerns previous knowledge of the student on other programming languages. The system takes into account information about the student from the student model and using a rule-based mechanism, provides individualized instruction, examination and advice.
Planning with continuous resources for agent teams
Authors: Janusz Marecki, Milind Tambe
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Many problems of multiagent planning under uncertainty require distributed reasoning with continuous resources and resource limits. Decentralized Markov Decision Problems (Dec-MDPs) are well-suited to address such problems, but unfortunately, prior Dec-MDP approaches either discretize resources at the expense of speed and quality guarantees, or avoid discretization only by limiting agents' action choices or interactions (e.g. assumption of transition independence). To address these shortcomings, this paper proposes M-DPFP, a novel algorithm for planning with continuous resources for agent teams, with three key features: (i) it maintains the agent team interaction graph to identify and prune the suboptimal policies and to allow the agents to be transition dependent, (ii) it operates in a continuous space of probability functions to provide the error bound on the solution quality and finally (iii) it focuses the search for policies on the most relevant parts of this search space to allow for a systematic trade-off of solution quality for speed. Our experiments show that M-DPFP finds high quality solutions and exhibits superior performance when compared with a discretization-based approach. We also show that M-DPFP is applicable to solving problems that are beyond the scope of existing approaches.
Participation and e-democracy how to utilize web 2.0 for policy decision-making
Authors: Klaus Petrik
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

This paper investigates in how to utilize ICT and Web 2.0 technologies and e-democracy software for policy decision-making. It introduces a cutting edge decision-making system that integrates the practice of e-petitions, e-consultation, e-rulemaking, e-voting, and proxy voting. The paper demonstrates how under precondition of direct democracy through the use this system the collective intelligence (CI) of a population would be gathered and used throughout the policy process.
Making an Unintelligent Checker Smarter: Creating Semantic Illusions from Syntactic Analyses
Authors: Kai Herrmann, Ulrich Hoppe
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

In interactive learning environments based on visual representations the problem of checking the correctness of student solutions is much harder than with linear textual or numerical input. This paper presents a generic approach to providing learner feedback in such environments. The underlying checking mechanism analyzes system states against target constellations defined as sets of constraints about locations or connections of objects. A newly introduced analysis graph allows also the definition of procedural dependencies. An implementation of a feedback mechanism for traffic education in secondary schools is presented as an example.
Automatic term categorization by extracting knowledge from the Web
Authors: Leonardo Rigutini, Ernesto Di Iorio, Marco Ernandes, Marco Maggini
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The proposed system can be effectively used for the automatic expansion of thesauri, limiting the human effort to the preparation of a small training set of tagged entities. The classification of terms is performed by modeling the contexts in which terms from the same class usually appear. The Web is exploited as a significant repository of contexts that are extracted by querying one or more search engines. In particular, it is shown how the required knowledge can be obtained directly from the snippets returned by the search engines without the overhead of document downloads. Since the Web is continuously updated “World Wide”, this approach allows us to face the problem of open-domain term categorization handling both the geographical and temporal variability of term semantics. The performances attained by different text classifiers are compared, showing that the accuracy results are very good independently of the specific model, thus validating the idea of using term contexts extracted from search engine snippets. Moreover, the experimental results indicate that only very few training examples are needed to reach the best performance (over 90% for the F1 measure).
Haptics as an aid to copying for people with Williams Syndrome
Authors: Jin Lee, Allison M. Okamura, Barbara Landau
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Figure copying is a complex visuo-motor skill that uses aspects of vision and memory to guide precisely directed action. Previous studies have shown that explicit visual training improves the copying abilities of young children. This study considers training in a haptic virtual environment as a method to improve copying abilities in people who show weak performance in such tasks, namely normally developing 4–5 year old children and adults with Williams Syndrome (WS). WS is a rare genetic disorder that results in severe impairment in visuospatial construction tasks, most obvious in copying (but not tracing) deficits. In simple copying tasks, training with a haptic device led to improvement in unassisted copying for both normally developing children and adults with WS. Improvement in copying ability for this pilot study demonstrates the potential effectiveness of haptics as a rehabilitation tool. Comparison of copying and tracing accuracy results also suggests that the copying errors seen in people with WS and 4–5 year old children stem from visuo-spatial deficits, and not solely from deficits in motor skills.
A dynamic artificial neural network model for forecasting nonlinear processes
Authors: M. Ghiassi, Stanley Nangoy
Venue: Computers and Industrial Engineering (2009)

This paper presents the development of a dynamic architecture for artificial neural network (DAN2) model for solving nonlinear forecasting and pattern recognition problems. DAN2 is a data driven, feed forward, multilayer, dynamic architecture that is based on the principle of learning and accumulating knowledge at each layer and propagating and adjusting this knowledge forward to the next layer. Model building is automatically and dynamically repeated until a model that accurately captures the behavior of the process is determined. The resulting model is then used to forecast future values. To assess DAN2's effectiveness, we present forecasting results for a variety of nonlinear processes that have been extensively studied in the literature and report comparative results. The set of nonlinear processes considered covers most nonlinear formulations facing researchers. We show DAN2 to be more accurate and to perform consistently better than alternative approaches employed in forecasting nonlinear processes.
Estimation of cepstral coefficients for robust speech recognition
Authors: Kevin M. Indrebo
Venue:  (2008)

This dissertation introduces a new approach to estimation of the features used in an automatic speech recognition system operating in noisy environments, namely mel-frequency cepstral coefficients. A major challenge in the development of an estimator for these features is the nonlinear interaction between a speech signal and the corrupting ambient noise. Previous estimation methods have attempted to deal with this issue with the use of a low order Taylor series expansion, which results in a rough approximation of the true distortion interaction between the speech and noise signal components, and the estimators must typically be iterative, as it is the speech features themselves that are used as expansion points. The new estimation approach, named the additive cepstral distortion model minimum mean-square error estimator, uses a novel distortion model to avoid the necessity of a Taylor series expansion, allowing for a direct solution. Like many previous approaches, the estimator introduced in this dissertation uses a prior distribution model of the speech features. In previous work, this distribution is limited in specificity, as a single global model is trained over an entire set of speech data. The estimation approach introduced in this work extends this method to incorporate contextual information into the prior model, leading to a more specific distribution and subsequently better estimates of the features. An introduction to automatic speech recognition is presented, and a historical review of relevant feature estimation research is given. The new estimation approach is developed, along with a method for implementing more specific prior distribution modeling, and the new feature estimation approach is evaluated on two standard robust speech recognition datasets. 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
Qualitative Investigation of a Propeller Slipstream with Background Oriented Schlieren
Authors: E. W. M. Roosenboom, A. Schröder
Venue: Journal of Visualization (2009)

The Background Oriented Schlieren (BOS) method has been used to qualitatively identify the (variation of) density gradients in the helical structure of a propeller slipstream. The helical structures are identified for two sideslip angles. In contrast to standard BOS correlations between exposures and a reference image, two exposures at a given time interval were cross-correlated. This revealed a more clear description of the propeller slipstream as it determines the variation of the density gradient during this interval. It enhances the visualization of the helical structure of the propeller slipstream. Based on the visualizations of the blade tip vortex trajectories the propeller slipstream contraction can be estimated.
Highly scalable server architecture for massive multi-player 3D virtual spaces
Authors: Moldoveanu Alin Dragos Bogdan, Moldoveanu Florica, Asavei Victor
Venue: Proceedings of the international conference on Computational and information science 2009 (2009)

3D massive multiplayer virtual spaces are getting more and more popular, not only as computer games but as complex simulation and interaction environments, heading to become the next paradigm of multi-user interface. Still their universal adoption is hindered by some serious practical issues, mainly revolving around development costs and scalability limitations. The authors consider that the main cause for these limitations resides in the particularities of server-side software architectures - traditionally designed as clusters of single processor machines. The paper gives a brief overview of current solutions and their limitations and propose two innovative architectural concepts which have a big potential for creating cheaper and more scalable solutions. We describe a region based decomposition of the virtual space together with supporting middlewares of messaging, distributed control and persistence, which allow an efficient and flexible work effort distribution on server side. The solution allows for both horizontal and vertical scalability The vertical scalability is then mapped in an innovative manner on the last generation of SIMD-like multi-processor graphics cards. The huge processing power of these cards, with the right architecture, can take over the bulk of the server-side effort. Our prototype tests indicated that the solution is feasible and may represent an important turnaround in the development of more scalable and much cheaper massive multi-player server architectures for various types of virtual spaces.
Remote control technique with OFDMA based approach for biologically inspired robots in a mobile ad hoc network (MANET)
Authors: R. P. Chatterjee, B. Sutradhar, Uma Dutta
Venue: WSEAS TRANSACTIONS on COMMUNICATIONS (2009)

Wireless communication is adding improvements in remote controlling techniques of vehicles or mobile robots day by day. From mission based AGVs to biologically inspired robots each area of robotic research is being enriched from time to time with the advent of Wi-Fi technologies like 1G, 2G, and 3G etc. This paper reflects a novel approach to control a mobile ad hoc network built with a number of snake robots to monitor an area like coal mines. Each agent of this network is having DSP based controller for processing files and instructions from remote computer through a wireless network structured in orthogonal frequency division access approach. DSP controllers redirect the segments of the robot to exhibit snake-like locomotion. Desired transfer function for lateral undulation is derived using two controller design approach such as, graphical domain approach and frequency response approach and the impulse response of each controller are loaded segment-wise in each agent. Length and segment-wise distinction for every robot is considered for wireless file transfer and instruction from remote station within a limited bandwidth. Problems due to inter-symbol interference (ISI), multipath fading and limitation of ISM band have also been overcome.
An approach for building Project Memories to facilitate design process in a concurrent engineering context
Authors: Davy Monticolo, Vincent Hilaire, Abder Koukam, Sébastien Meunier
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

This article presents a project memory architecture and an approach to build it. This is a result of the analysis and follow-up of product development projects in a company of four hundred employees. The development of a product is a multi-field project where engineers with different specialities collaborate to achieve the same goal. These professional actors carry out tasks related from the stages defined by product development lifecycle. Each stage requires the contribution of know-how and knowledge in order to achieve the laid down goals. Our approach consists in studying each stage of the process of engineering and defining knowledge necessary to capitalize in order to organize the project memory. Afterwards, the development of such knowledge base will be used to help professional actors to accomplish their task in bringing knowledge of past projects.
Quasi-randomness and the distribution of copies of a fixed graph
Authors: Asaf Shapira
Venue: Combinatorica (2008)

We show that if a graph G has the property that all subsets of vertices of size n/4 contain the &#x201c;correct&#x201d; number of triangles one would expect to find in a random graph G(n, 1/2), then G behaves like a random graph, that is, it is quasi-random in the sense of Chung, Graham, and Wilson [6]. This answers positively an open problem of Simonovits and S&#x00f3;s [10], who showed that in order to deduce that G is quasi-random one needs to assume that all sets of vertices have the correct number of triangles. A similar improvement of [10] is also obtained for any fixed graph other than the triangle, and for any edge density other than 1/2. The proof relies on a theorem of Gottlieb [7] in algebraic combinatorics, concerning the rank of set inclusion matrices.
Feature subset selection from positive and unlabelled examples
Authors: Borja Calvo, Pedro Larrañaga, Jose A. Lozano
Venue: Pattern Recognition Letters (2009)

The feature subset selection problem has a growing importance in many machine learning applications where the amount of variables is very high. There is a great number of algorithms that can approach this problem in supervised databases but, when examples from one or more classes are not available, supervised feature subset selection algorithms cannot be directly applied. One of these algorithms is the correlation based filter selection (CFS). In this work we propose an adaptation of this algorithm that can be applied when only positive and unlabelled examples are available. As far as we know, this is the first time the feature subset selection problem is studied in the positive unlabelled learning context. We have tested this adaptation on synthetic datasets obtained by sampling Bayesian network models where we know which variables are (in)dependent of the class. We have also tested our adaptations on real-life databases where the absence of negative examples has been simulated. The results show that, having enough positive examples, it is possible to obtain good solutions to the feature subset selection problem when only positive and unlabelled instances are available.
Are Student Teachers Ready for E-Learning?
Authors: Eugenia M. W. Ng
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

There are many articles about different strategies and techniques of electronic learning but there are not many findings about student teachers' readiness in this direction. A questionnaire was developed by adapting Hiltz's framework to find out student teachers' perceptions on different areas which contribute to the success of electronic learning. There were a total of 64 responses and the respondents gave high ratings on most items asked. Their perceptions and preferences on E-learning clearly indicated their readiness to go for electronic learning partially or completely. The findings are useful not only to our institute but also inform others who are in the area of teacher education.
Capacity and SER Analysis of MIMO MRC Systems in an Interference-Limited Environment
Authors: Xianyi Rui
Venue: Wireless Personal Communications: An International Journal (2009)

The effect of co-channel interference (CCI) is considered in multiple-input multiple-output (MIMO) systems employing maximal ratio combining (MRC) under independent and identically distributed Rayleigh fading. Closed-form capacity and symbol error rate expressions are presented to evaluate the performance without any numerical integrations or statistical simulations. The analytical results are compared with Monte Carlo simulations and the good agreement is obtained.
Simulation of noise figure of nonlinear amplifiers using the orthogonalization of the nonlinear model
Authors: Khaled M. Gharaibeh
Venue: International Journal of RF and Microwave Computer-Aided Engineering (2009)

A simulation procedure of noise figure (NF) of nonlinear amplifiers is developed. NF is defined in terms of the effective signal-to-noise ratio (SNR) at the output of a nonlinear amplifier. The effective output SNR when the input consists of a communication signal plus Gaussian noise is evaluated through the identification of the effective output noise and nonlinear distortion power using the orthogonalization of the nonlinear model. The approach is useful for the assessment of noise performance of low-noise amplifiers in wireless systems. &copy; 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE 2009.
Evaluation of Software Quality
Authors: Krzysztof Sacha
Venue: Proceeding of the 2005 conference on Software Engineering: Evolution and Emerging Technologies (2005)

The paper describes a method, which we used to evaluate the expected quality of software that was developed for a huge governmental system. The evaluation lasted nearly two years and was performed along with the software development process. The output that was expected by our customer consisted of a quality assessment accompanied by a set of recommendations on what to do in order to enhance the quality of the product.