ppxscal/embedding_network huggingface dataset:
Sugeno Model Based Control for Semi active Vehicle Suspension
Authors: Francesco Voci, Fabio Massimo Frattale Mascioli
Venue: Proceeding of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008 (2009)

In this paper a fuzzy Sugeno rule based controller is used to manage a semi-active suspension of 1/4 vehicle model. Our semi-active suspensions have the characteristic to change the damping constant in order to reduce vertical oscillation of the vehicle, to restrain the shell vehicle acceleration and consequently to be more comfortable for passengers. On the other hand, if no control is present, the suspension works in passive mode, i.e. without damping parameters changing. The inputs of our fuzzy controller, three in total, are the dynamic wheel load described by five membership functions, its derivative and the vertical acceleration both described by three membership functions. By comparing the performances of the suspension with and without control, the Sugeno based model controller results in a more comfortable and safe system.
Darwin Approximation to Maxwell's Equations
Authors: Nengsheng Fang, Caixiu Liao, Lung-An Ying
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Maxwell's equations are the foundation of electromagnetics, its extensive applications make computational electromagnetics a new rapidly growing subject. However, since the electric and the magnetic fields are coupling in the Maxwell system, the numerical solution of the full system of Maxwell's equations is extremely expensive in terms of computer time. Darwin model, which decouple the coupled system, is such a good approximation to Maxwell's equations. In three dimensional space case, it neglects the transverse component of the displacement current; while in two dimensional space case, Darwin model is equivalent to TE, TM models. For these reasons, it is worthwhile to investigate Darwin model, and a lot of works have been done to it. In this paper, we review the advance in the Darwin model and introduce some of our new results about the exterior problems of Darwin model and its numerical solutions with infinite elements methods.
The role of positive feedback in intelligent tutoring systems
Authors: Davide Fossati
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop (2008)

The focus of this study is positive feedback in one-on-one tutoring, its computational modeling, and its application to the design of more effective Intelligent Tutoring Systems. A data collection of tutoring sessions in the domain of basic Computer Science data structures has been carried out. A methodology based on multiple regression is proposed, and some preliminary results are presented. A prototype Intelligent Tutoring System on linked lists has been developed and deployed in a collegelevel Computer Science class.
Evaluating the impact of job scheduling and power management on processor lifetime for chip multiprocessors
Authors: Ayse K. Coskun, Richard Strong, Dean M. Tullsen, Tajana Simunic Rosing
Venue: Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems (2009)

Temperature-induced reliability issues are among the major challenges for multicore architectures. Thermal hot spots and thermal cycles combine to degrade reliability. This research presents new reliability-aware job scheduling and power management approaches for chip multiprocessors. Accurate evaluation of these policies requires a novel simulation framework that can capture architecture-level effects over tens of seconds or longer, while also capturing thermal interactions among cores resulting from dynamic scheduling policies. Using this framework and a set of new thermal management policies, this work shows that techniques that offer similar performance, energy, and even peak temperature can differ significantly in their effects on the expected processor lifetime.
The effects of data mining in ERP-CRM model: a case study of MADAR
Authors: Abdullah S. Al-Mudimigh, Farrukh Saleem, Zahid Ullah
Venue: WSEAS Transactions on Computers (2009)

As Enterprise Resource Planning (ERP) implementation has become more popular and suitable for every business organization, it has become a essential factor for the success of a business. This paper shows the best integration of ERP with Customer Relationship Management (CRM). Data Mining is overwhelming the integration in this model by giving support for applying best algorithm to make the successful result. This model has three major parts, outer view-CRM, inner view-ERP and knowledge discovery view. The CRM collect the customer's queries, EPR analyze and integrate the data and the knowledge discovery gave predictions and advises for the betterment of an organization. For the practical implementation of presented model, we use MADAR data and implemented Apriori Algorithm on it. Then the new rules and patterns suggested for the organization which helps the organization for solving the problem of customers in future correspondence.
NAACL-ANLP 2000 Workshop on Automatic Summarization
Venue: ANLP/NAACL Workshops (2000)

Automatic summarization aims at producing a concise, condensed representation of the key information content in an information source for a particular user and task. Interest in automatic summarization continues to grow, motivated by the explosion of on-line information sources and advances in natural language processing and information retrieval. In fact, some form of automatic summarization may be indispensable given the massive information universes that lie ahead in the 21st century. The problem of automatic summarization poses a variety of tough challenges in both NL understanding and generation. A spate of recent papers and tutorials on this subject at conferences such as ACL/EACL, AAAI, ECAI, IJCAI, and SIGIR point to a growing interest in research in this field. Several commercial summarization products have also appeared. There have been several workshops in the past on this subject: in Dagstuhl (1994), Madrid (1997), and Stanford (1998). It is our great pleasure to bring the fourth such event to you. While the field continues to progress, there are also many problems that need to be addressed before the promises of automatic text summarization can be fully realized. The papers included in this volume present a snapshot of recent progress in solving some of the problems: concept identification, identification of discourse markers, multi-document summarization, content visualization, evaluation, and use. Out of 29 submissions to the workshop, 10 are included in these proceedings.
ArithmeticDesk: Computer Embedded Manipulatives for Learning Arithmetic
Authors: Hercy N. H. Cheng, Ben Chang, Yi-Chan Deng, Tak-Wai Chan
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Physical manipulatives have been applied in traditional education for a long time. This paper proposes that by embedding computing power in manipulatives computers can monitor students' physical manipulations to support learning. This paper also describes the design of a digital desk prototype, called ArithmeticDesk to illustrate the vision of computer embedded manipulatives and takes learning fractions as an example. The study is an attempt to accommodate physical and virtual manipulations, as well as to eliminate the gap between traditional and computer-based learning activities. More experiments and studies will be conducted in the future.
The central role of adaptation for curriculum enactment: designing educational software for adaptation of curriculum using digital library resources
Authors: Tamara Sumner
Venue:  (2008)

Although educational digital libraries like the Digital Library for Earth System Education (DLESE) offer a multitude of pedagogically relevant digital resources, educators still require support in reusing these resources in their classroom teaching. This research emphasizes the role of curriculum adaptation as central to enabling resource 'reuse' and employs DLESE Teaching Boxes as examples of curricula supporting digital resource reuse. The questions guiding this research are as follows: (1) What adaptation processes and strategies do experts utilize in their planning for enactment (i.e. classroom implementation) of curriculum? (2) How can computational models of curriculum be designed to support these adaptation processes and strategies? (3) How does the use of the Teaching Box Builder application influence or support educators' adaptation processes and strategies? The outcomes of this work are a conceptual framework ENACT and the Teaching Box Builder application. ENACT ties expert educators' adaptation processes with general design requirements. These general design requirements inform the specific design features of the Teaching Box Builder application which supports educators' use and adaptation of Teaching Boxes. Teaching Box Builder utilizes the Federated Digital Object Repository Architecture (FEDORA) to model Teaching Box components and their relationships. This research employs a two-phase methodology with each phase successively informing the design of Teaching Box Builder application design. The conceptual framework ENACT resulted from an analysis of (a) frameworks describing digital library resource use and educators' knowledge management practices and (b) expert educators' adaptation processes as describes in the literature review and observed in the Teaching Box workshops. The second phase included a verbal analysis which explored educators' adaptation processes and which informed the design and implementation of the second version of Teaching Box Builder. In the evaluation study, educators completed adaptation tasks using the Teaching Box Builder while "thinking aloud".
Modeling and simulating the impact of physical propagation environment on ad hoc network routing protocols
Authors: Nuraj Pradhan, Tarek Saadawi
Venue: Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics (2008)

In this paper, we will address the issues of modeling and simulating wireless ad hoc network and illustrate the impact of physical propagation model on ad hoc network routing protocol. The dynamic wireless channel is modeled with log-distance path loss model and log-normal shadow model. Further we will implement Rayleigh fading model to represent fading due to Doppler's effect caused by relative movement between the nodes. We will show that the performance of typical routing protocol such as OLSR significantly depends on the wireless channel through simulation in two different environments: open_environment characterized by open area and city_environment characterized by urban environment. The simulation results will show that the network degrades and the average delay and the routing packet overhead significantly increases in a higher attenuating environment such as the city_environment.
QoS-aware, access-efficient, and storage-efficient replica placement in grid environments
Authors: Chieh-Wen Cheng, Jan-Jan Wu, Pangfeng Liu
Venue: The Journal of Supercomputing (2009)

In this paper, we study the quality-of-service (QoS)-aware replica placement problem in grid environments. Although there has been much work on the replica placement problem in parallel and distributed systems, most of them concern average system performance and have not addressed the important issue of quality of service requirement. In the very few existing work that takes QoS into consideration, a simplified replication model is assumed; therefore, their solution may not be applicable to real systems. In this paper, we propose a more realistic model for replica placement, which consider storage cost, update cost, and access cost of data replication, and also assumes that the capacity of each replica server is bounded.The QoS-aware replica placement is NP-complete even in the simple model. We propose two heuristic algorithms, called greedy remove and greedy add to approximate the optimal solution. Our extensive experiment results demonstrate that both greedy remove and greedy add find a near-optimal solution effectively and efficiently. Our algorithms can also adapt to various parallel and distributed environments.
Euclidean Geometry LDPC-VBLAST System Design and Performance Evaluation
Authors: Panupat Poocharoen, Mario E. Magaña
Venue: Wireless Personal Communications: An International Journal (2009)

Among popular multi-transmit and multi-receive antennas techniques, the VBLAST (Vertical Bell Laboratories Layered Space-Time) architecture has been shown to be a good solution for wireless communications applications that require the transmission of data at high rates. Recently, the application of efficient error correction coding schemes such as low density parity-check (LDPC) codes to systems with multi-transmit and multi-receive antennas has shown to significantly improve bit error rate performance. Although irregular LDPC codes with non-structure are quite popular due to the ease of constructing the parity check matrices and their very good error rate performance, the complexity of the encoder is high. Simple implementation of both encoder and decoder can be an asset in wireless communications applications. In this paper, we study the application of Euclidean geometry LDPC codes to the VBLAST system. We assess system performance using different code parameters and different numbers of antennas via Monte-Carlo simulation and show that the combination of Euclidean geometry LDPC codes and VBLAST can significantly improve bit error rate performance. We also show that interleaving data is necessary to improve performance of LDPC codes when a higher number of antennas is, used in order to mitigate the effect of error propagation. The simplicity of the implementation of both encoder and decoder makes Euclidean geometry LDPC codes with VBLAST system attractive and suitable for practical applications.
Research on Logging Evaluation of Reservoir Contamination Based on PSO-BP Neural Network
Authors: Tao Li, Libo Guo, Yuanmei Wang, Feng Hu, Li Xiao, Yanwu Wang, Qin Cheng
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

The skin-friction coefficient which indicates the degree of the stratum damage and the loss of production is important for evaluating reservoir contamination. A skin-friction coefficient prediction model based on PSO-BP neural network is presented in this paper, which integrates PSO and BP algorithm and takes full use of the global optimization of PSO and local accurate searching of BP. The examples of skin-friction coefficient prediction show that the prediction model works with quicker convergence rate and higher forecast precision, and can be applied to evaluate the degree of reservoir contamination effectively.
Towards Semantic Wikis: Modelling Intensions, Topics, and Origin in Content Management Systems
Authors: Gunar Fiedler, Bernhard Thalheim
Venue: Proceeding of the 2009 conference on Information Modelling and Knowledge Bases XX (2009)

Content management is the process of handling information within an organization or community. Therefore, content management systems have to provide generic functionality for generation, extraction, storage, and exchange of digital assets. Because of the heterogeneity and complexity of content, a sufficient semantical and user-oriented annotation of content is crucial. Although semantical annotation by metadata and ontologies together with reasoning support has been extensively studied for a long time, commercially available content management systems provide only basic support for semantic modelling. Conceptual aspects of content users and support of user specific intensions are neglected. In this paper we will analyze the mismatch between the requirements of content management and semantical description and propose a data model for content which treats semantic information not only as describing metadata but incorporates the data itself, the intension behind the data, the usage of data and the origin of data on the same level.
SofTOA: Software Ranging for TOA-Based Positioning of WLAN Terminals
Authors: Marc Ciurana, David López, Francisco Barceló-Arroyo
Venue: Proceedings of the 4th International Symposium on Location and Context Awareness (2009)

TOA-based trilateration constitutes an interesting choice to locate terminals employing WLAN networks. A major limitation of this technique is the requirement for hardware modifications in the WLAN device in order to achieve accurate ranging. This paper presents an approach that overcomes this limitation. It is based on RTT measurements performed through time-stamping the transmission and reception of IEEE 802.11 MAC frames from the WLAN driver's code, employing the CPU clock as time-base. Some statistical processing is needed in order to mitigate the noise of the measurements. This paper presents experimental results obtained with a prototype showing ranging errors of a few meters when applied to estimate distances up to 25 meters in both indoor and outdoor environments.
Three-dimensional a-mode ultrasound calibration and registration of the tibia and femur for computer-assisted robotic surgery
Authors: Weizhao Zhao
Venue:  (2008)

Registration is a key component for computer-navigated robot-assisted surgery. Invasive approaches such as fiducial-based and surface matching with mechanical probes are common but ultrasound may provide a non-invasive alternative. If an A-mode ultrasound transducer can be used to percutaneously select data points on the bones, a registration can be determined without needing any incision. This study investigates selecting an A-mode ultrasound transducer, calibrating it, analyzing the ultrasound signal, and using it to register a phantom sawbone tibia and femur as well as cadaveric specimens. This study is performed in conjunction with MAKO Surgical Corp.'s Tactile Guidance System&trade; (TGS&trade;) at their headquarters and at The South Florida Spine Clinic for cadaveric experiments. The results for phantom and cadaveric ultrasound registrations compared to a mechanical probe approach demonstrate that A-mode ultrasound registration is a viable option for registration of the bones of the knee.
Snapshot-Based Data Backup Scheme: Open ROW Snapshot
Authors: Jinsun Suk, Moonkyung Kim, Hyun Chul Eom, Jaechun No
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

In this paper, we present the design and implementation details of the Open ROW Snapshot which is the data backup scheme based on the snapshot approach. As the data to be stored in storage systems are tremendously increased, data protection techniques have become more important to provide data availability and reliability. Snapshot is one of such data protection techniques and has been adopted to many file systems. However, in large-scale storage systems, adopting a snapshot technique to prevent data loss from intentional/accidental intrusion is not an easy task because the data size being backup-ed at a given time interval may be huge. In this paper, we present the Open ROW Snapshot that has been implemented based on the file system-based snapshot approach. The Open ROW Snapshot provides a widely portable structure and causes less I/O processing overhead than the ROW(Redirect-On Write) method does. Furthermore, the Open ROW Snapshot provides a capability of maintaining the disk space assigned to snapshot images in a consistently-sized disk portion. We present the performance results of the Open ROW Snapshot obtained from the Linux cluster located at Sejong University.
Formulating Agent Interaction for Ontology Evolution
Authors: Li Li, Baolin Wu, Yun Yang
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

Using agent technologies in the distributed and complex systems attracts increasing attentions. In this paper, agent interactions between different ontologies (agents) are studied from process algebra's perspective. Process algebra (π-calculus) is able to provide a mathematical formalisation of the exchanging information and to reflect ontology evolution without being bothered by details. It also considerably enhances agent communications in multi-agent systems. Finally, a case is presented for demonstration.
Language support for distributed proxies
Authors: Darpan Saini, Joshua Sunshine, Jonathan Aldrich
Venue: Proceedings of the 1st International Workshop on Distributed Objects for the 21st Century (2009)

Proxies are ubiquitous in distributed systems. They are mainly used to provide transparent access to server objects, and in some cases for additional functions such as caching, message routing, marshalling, and un-marshalling of data. In this paper, we discuss several software engineering problems associated with using proxies in a distributed system. We believe that proxies in distributed systems suffer from: 1) redundant code 2) multiple data translations that have to be written before data is marshalled for transfer over the wire, and 3) in the case when proxies are automatically generated, there is no universal or generic mapping (to date) from XML types to Object types and vice versa. We describe these problems using an example, and discuss the partial solutions provided by prior research. A better understanding of these problems may help show the way towards a future solution.
Iterative Evaluation of a Large-Scale, Intelligent Game for Language Learning
Authors: W. Lewis Johnson, Carole Beal
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Educational content developers, including AIED developers, traditionally make a distinction between formative evaluation and summative evaluation of learning materials. Although the distinction is valid, it is inadequate for many AIED systems because they require multiple types of evaluation and multiple stages of evaluation. Developers of interactive intelligent learning environments must evaluate the effectiveness of the component technologies, the quality of the user interaction, and the potential of the program to achieve learning outcomes, in order to uncover problems prior to summative evaluation. Often these intermediate evaluations go unreported, so other developers cannot benefit from the lessons learned. This paper documents the iterative evaluation of the Tactical Language Training System, an interactive game for learning foreign language and culture. This project employs a highly iterative development and evaluation cycle. The courseware and software have already undergone six discrete stages of formative evaluation, and further formative evaluations are planned. The paper documents the evaluations that were taken at each stage, as well as the information obtained, and draws lessons that may be applicable to other AIED systems.