ppxscal/embedding_network huggingface dataset:
Web 2.0 goes academia: does Web 2.0 make a difference?
Authors: Isa Jahnke, Michael Koch
Venue: International Journal of Web Based Communities (2009)

Web 2.0 is often attributed with a high potential to address today's challenges in knowledge management and distributed collaboration. This is due to the focus on innovative and creative sociotechnical concepts that are strongly influenced by informal communication and collaboration. This development has already reached industry. Using the term 'Enterprise 2.0', different possibilities to use social software in enterprises are researched. But also in academia, cooperation to generate new knowledge and add it to the scientific discourse may radically change under open Web 2.0 conditions. In addition, teaching and learning scenarios might be moved towards technology-enhanced lifelong learning communities. In this article, we will give an overview of the influence that Web 2.0 has on academia and what innovative forms of cooperation might emerge from this. Before we focus on academia and show the potential of Web 2.0 in this domain, we first describe Web 2.0 as a sociotechnical phenomenon and show how technical and social systems differ in order to define Sociotechnical Communities (STCs) and the criteria for them.
Unsupervised constraint driven learning for transliteration discovery
Authors: Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

This paper introduces a novel unsupervised constraint-driven learning algorithm for identifying named-entity (NE) transliterations in bilingual corpora. The proposed method does not require any annotated data or aligned corpora. Instead, it is bootstrapped using a simple resource -- a romanization table. We show that this resource, when used in conjunction with constraints, can efficiently identify transliteration pairs. We evaluate the proposed method on transliterating English NEs to three different languages - Chinese, Russian and Hebrew. Our experiments show that constraint driven learning can significantly outperform existing unsupervised models and achieve competitive results to existing supervised models.
Understanding and Facilitating Student Bloggers: Towards a Blogging Activity Model
Authors: Michael Derntl
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

Since instructors have started recognizing the potential of Web 2.0 integration in web-based courses, blogs have been used to provide students with means of virtual communication, contribution, collaboration and community building. In this paper we aim to take another step forward by presenting and analyzing the integration of student blogs in an undergraduate computer science course on software architecture and web technologies: we implemented an LMS extension that acted as a course blog portal by collecting and displaying feeds of externally hosted blogs and logging usage data. Data analysis reveals that students who perform better academically also tend to participate more actively in the course blogosphere. Subsequently, we propose a blogging activity model, which aims to reveal and explain relationships between blogging activity variables--including peer visits, commenting and posting--to achieve a better understanding of lively blog communities in courses.
The VITA financial services sales support environment
Authors: A. Felfernig, K. Isak, K. Szabo, P. Zachar
Venue: Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2 (2007)

Knowledge-based recommender technologies support customers and sales representatives in the identification of appropriate products and services. These technologies are especially useful for complex and high involvement products such as cars, computers, or financial services. In this paper we present the VITA (Virtualis Tanacsado) financial services recommendation environment which has been deployed for the Fundamenta building and loan association in Hungary. On the basis of knowledge-based recommender technologies, VITA supports sales dialogs between Fundamenta sales representatives and customers interested in financial services (e.g., loans). VITA has been developed and is maintained on the basis of an environment which supports automated testing and debugging of knowledge bases and recommender process definitions. Besides presenting the VITA environment we focus on reporting empirical results which clearly show the payoffs of the deployed application in terms of time savings in the conduction of sales dialogs.
Plenary lecture 8: on the optimality of a general production lot size inventory models with variable parameters
Authors: Zaid Balkhi
Venue: Proceedings of the 3rd international conference on European computing conference (2009)

A general production lot size dynamic inventory model with deteriorating items for which the rates of demand, production, deterioration as well as the cost parameters are arbitrary and known functions of time is considered in this paper. Shortages are allowed but are partially backordered. Both inflation and time value of money are taken into account. The objective is to minimize the total net inventory cost. The relevant model is built, solved and some main results about the uniqueness and the global optimality of this solution, with the use of rigorous mathematical methods, are obtained. An illustrative example is provided.
Report on the first NLG Challenge on Generating Instructions in Virtual Environments (GIVE)
Authors: Donna Byron, Alexander Koller, Kristina Striegnitz, Justine Cassell, Robert Dale, Johanna Moore, Jon Oberlander
Venue: Proceedings of the 12th European Workshop on Natural Language Generation (2009)

We describe the first installment of the Challenge on Generating Instructions in Virtual Environments (GIVE), a new shared task for the NLG community. We motivate the design of the challenge, describe how we carried it out, and discuss the results of the system evaluation.
IQoS-aware exception resolution for BPEL processes: a middleware-based framework and performance evaluation
Authors: Christos Kareliotis, Costas Vassilakis, Efstathios Rouvas, Panayiotis Georgiadis
Venue: International Journal of Web and Grid Services (2009)

Web Services Business Process Execution Language (WS-BPEL) is widely used nowadays for specifying and executing composite business processes. During the execution, however, of such business processes, a number of faults stemming from the nature of SOA may occur. The WS-BPEL scenario designer must therefore use the provisions offered by WS-BPEL to catch these exceptions and resolve them. The system fault handler specification, however, is an additional task for the WS scenario designer, while the presence of such handlers within the scenario necessitates extra maintenance activities. In this paper, we propose a middleware-based framework for system exception resolution, which undertakes the tasks of failure interception, discovery of alternative services and their invocation. The process of selecting the alternative services can be driven by process consumer-specified Quality of Service (QoS) policy. Moreover, the middleware arranges for bridging syntactic differences between the originally invoked services and functionally equivalent replacements to it, by employing XSLT-based transformations. The middleware is deployed and maintained independently of the WS-BPEL scenarios, thus removing the need for specifying and maintaining system fault handlers within the scenarios. We also present performance measures, establishing that the overhead imposed by the addition of the proposed middleware layer is minimal.
Some Generalized Uncertain Linguistic Aggregating Operators
Authors: Guiwu Wei
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

With respect to multiple attribute group decision making problem with uncertain linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the attribute preference values take the form of uncertain linguistic variables, some new generalized uncertain linguistic aggregating operators have been proposed: generalized uncertain linguistic weighted aggregating (GULWA) operator, generalized uncertain linguistic ordered weighted aggregating (GULOWA) operator and generalized uncertain linguistic hybrid aggregating (GULHA) operator. It has been shown that both GULWA and GULOWA operators are the special case of the GULHA operator. The GULHA operator generalizes both the GULWA and GULOWA operators, and reflects the importance degrees of both the given arguments and their ordered positions. Based on the GULWA and GULHA operators, an approach has been proposed to solve the MAGDM problems under uncertain linguistic environment. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness. 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 dynamic Bayesian approach to computational Laban shape quality analysis
Authors: Dilip Swaminathan, Harvey Thornburg, Jessica Mumford, Stjepan Rajko, Jodi James, Todd Ingalls, Ellen Campana, Gang Qian, Pavithra Sampath, Bo Peng
Venue: Advances in Human-Computer Interaction (2009)

Laban movement analysis (LMA) is a systematic framework for describing all forms of human movement and has been widely applied across animation, biomedicine, dance, and kinesiology. LMA (especially Effort/Shape) emphasizes how internal feelings and intentions govern the patterning of movement throughout the whole body. As we argue, a complex understanding of intention via LMA is necessary for human-computer interaction to become embodied in ways that resemble interaction in the physical world. We thus introduce a novel, flexible Bayesian fusion approach for identifying LMA Shape qualities from raw motion capture data in real time. The method uses a dynamic Bayesian network (DBN) to fuse movement features across the body and across time and as we discuss can be readily adapted for low-cost video. It has delivered excellent performance in preliminary studies comprising improvisatory movements. Our approach has been incorporated in Response, a mixed-reality environment where users interact via natural, full-body human movement and enhance their bodily-kinesthetic awareness through immersive sound and light feedback, with applications to kinesiology training, Parkinson's patient rehabilitation, interactive dance, and many other areas.
Robust and self-repairing formation control for swarms of mobile agents
Authors: Jimming Cheng, Winston Cheng, Radhika Nagpal
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

We describe a decentralized algorithm for coordinating a swarm of identically-programmed mobile agents to spatially self-aggregate into arbitrary shapes using only local interactions. Our approach, called SHAPEBUGS, generates a consensus coordinate system by agents continually performing local trilaterations, and achieves shape formation by simultaneously allowing agents to disperse within the defined 2D shape using a Contained Gas Model. This approach has several novel features (1) agents can easily aggregate into arbitrary user-specified shapes, using a formation process that is independent of the number of agents (2) the system automatically adapts to influx and death of agents, as well as accidental displacement. We show that the consensus coordinate system is robust and provides reasonable accuracy in the face of significant sensor and movement error.
Complexity-guided case discovery for case based reasoning
Authors: Stewart Massie, Susan Craw, Nirmalie Wiratunga
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

The distribution of cases in the case base is critical to the performance of a Case Based Reasoning system. The case author is given little support in the positioning of new cases during the development stage of a case base. In this paper we argue that classification boundaries represent important regions of the problem space. They are used to identify locations where new cases should be acquired. We introduce two complexity-guided algorithms which use a local complexity measure and boundary identification techniques to actively discover cases close to boundaries. The ability of these algorithms to discover new cases that significantly improve the accuracy of case bases is demonstrated on five public domain classification datasets.
A real-time publish/subscribe driver alert system for accident avoidance due to red light running
Authors: Deepti Thopte, Tina Devkota, Aniruddha Gokhale
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

Traffic signals provide the key mechanism to regulate traffic, and promote safe and efficient traffic flow at intersections. However, incidents of red light running can compromise the safety of the system. These incidents stem mostly due to the well known dilemma zone problem where the drivers cannot decide whether slowing down the vehicle would bring their vehicle to a stop or should they increase the speed and cross the intersection. Other factors, such as wet road conditions, make the problem worse.
Survivability and Business Continuity Management System According to BS 25999
Authors: Wolfgang Boehmer
Venue: Proceedings of the 2009 Third International Conference on Emerging Security Information, Systems and Technologies (2009)

In this paper, a new model is presented for evaluating the performance of a Business Continuity Management System according to BS 25999. This model is able to calculate the survivability \emph{ex-ante}if the key performance indicator for the effectiveness exists. Performance is based fundamentally on the system's Business Continuity Plans and Disaster Recovery Plans. Typically, the performance of these plans is evaluated by a number of specific exercises at various intervals and, in many cases, with a variety of targets. Furthermore, these specific exercises are rerun after a longer period ($\ge $ a year) and then often only partially. If a company is interested in taking performance measurements over a shorter period, obstacles and financial restrictions are often encountered. Furthermore, it is difficult for companies to give an \emph{ex-ante} statement of their survival in the case of a disaster.Two key performance indicators are presented that allow the performance of a Business Continuity Management System to be evaluated according to BS 25999.Using these key performance indicators, the probability of survival can be estimated before extreme events occur.
Reducing Rollbacks of Transactional Memory Using Ordered Shared Locks
Authors: Ken Mizuno, Takuya Nakaike, Toshio Nakatani
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

Transactional Memory (TM) is a concurrency control mechanism that aims to simplify concurrent programming with reasonable scalability. Programmers can simply specify the code regions that access the shared data, and then a TM system executes them as transactions. However, programmers often need to modify the application logic to achieve high scalability on TM. If there is any variable that is frequently updated in many transactions, the program does not scale well on TM.We propose an approach that uses ordered shared locks in TM systems to improve the scalability of such programs. The ordered shared locks allow multiple transactions to update a shared variable concurrently without causing rollbacks or blocking until other transactions finish. Our approach improves the scalability of TM by applying the ordered shared locks to variables that are frequently updated in many transactions, while being accessed only once in each transaction. We implemented our approach on a software TM (STM) system for Java. In our experiments, it improved the performance of an hsqldb benchmark by 157% on 8 threads and by 45% on 16 threads compared to the original STM system.
Simultaneous localization and mapping for pedestrians using only foot-mounted inertial sensors
Authors: Patrick Robertson, Michael Angermann, Bernhard Krach
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

In this paper we describe a new Bayesian estimation approach for simultaneous mapping and localization for pedestrians based on odometry with foot mounted inertial sensors. When somebody walks within a constrained area such as a building, then even noisy and drift-prone odometry measurements can give us information about features like turns, doors, and walls, which we can use to build a form of a map of the explored area, especially when these features are revisited over time. Our initial results for our novel scheme which we call "FootSLAM" are very surprising in that true SLAM with stable relative positioning accuracy of 1-2 meters for pedestrians is indeed possible based on inertial sensors alone without any prior known building indoor layout. Furthermore, the 2D maps obtained even for just 10 minutes of walking converge to a good approximation of the true layout forming the basis for future automated collaborative mapping of buildings.
High Speed Real-Time Foreign Recognition Based on Hypersphere One-Class Support
Authors: Fu-guang Yao, Xian-xin Zhong
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Aim at the foreign randomicity and the color difference between the regular materiel and the foreign in high speed real-time foreign recognition, an approach to real-time foreign recognition based on hypersphere one-class support vector machines is presented. In this method, regular materiel are considered as training samples, and OC-SVM is used to obtain the color distributing of the regular materiel, that is to find out the foreign whose color are not in the range of the regular materiel. To train and simplify OC-SVM, centrifugal coefficient ω is presented, and Zoutendijk fastest decline method is adopted to search for working set. The result of experiment shows, this method has good performance in foreign recognition, especially for some foreign whose color is similar to that of regular materiel. Contrast to Gaussian distribution fitting method, the general accuracy of recognition is 8~10% higher.
Design of the moses decoder for statistical machine translation
Authors: Hieu Hoang, Philipp Koehn
Venue: Software Engineering, Testing, and Quality Assurance for Natural Language Processing (2008)

We present a description of the implementation of the open source decoder for statistical machine translation which has become popular with many researchers in SMT research. The goal of the project is to create an open, high quality phrase-based decoder which can reduce the time and barrier to entry for researchers wishing to do SMT research. We discuss the major design objective for the Moses decoder, its performance relative to other SMT decoders, and the steps we are taking to ensure that its success will continue.
The Scheme Design and Application of Large Gap Magnetic Drive System Which Is Driven by Traveling Wave Magnetic Field
Authors: Jianping Tan, Yan Xu, Tanxi Li, Yunlong Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

In order to enhance the magnetic drive system reliability under the condition of large gap and high speed, the large gap magnetic drive technology, which is driven by traveling wave magnetic field, is studied. By analyzing the motion state between the initiative magnetic pole (electromagnet) and the driven magnetic pole (permanent magnet), this paper determines the relationship between the switch method of electromagnet magnetic pole state and permanent magnet motion state. And three types of drive projects are brought forward. Based on the magnetic circuit basic principle, the system design project with strong driving ability is determined through magnetic analysis, and experiment on system spatial magnetic induction intensity.
Characterizing the Space by Thermal Feedback through a Wearable Device
Authors: Takuji Narumi, Akagawa Tomohiro, Young Ah Seong, Michitaka Hirose
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Thermal sensation is a kind of a haptic sensation and is very familiar feeling. However it is difficult to realize a thermal display which gives realistic thermal feedback because thermal characteristic has a larger ambiguity and is late-response. Alternatively, thermal feedback could be used as a new channel for the transmission of imaginary characteristics. We are aiming to add characteristics to the existing space by providing people with location-dependent thermal information. By manipulating thermal information presented to people, we can change implicit partitioning of the space without physically reconstructing it. "Thermotaxis" is a system that gives sensations of cool and warm to users by controlling thermoelectric devices wirelessly. In this system, the space is characterized as being cool or warm. Users experience the difference in temperatures while they walk in the space. Preliminary analysis shows that people stay close in the area of a comfortable temperature.
Orthographic co-reference resolution between proper nouns through the calculation of the relation of "replicancia"
Authors: Pedro Amo, Francisco L. Ferreras, Fernando Cruz, Saturnino Maldonado
Venue: Proceedings of the Workshop on Coreference and its Applications (1999)

Nowadays there is a growing research activity centred in automated processing of texts on electronic form. One of the most common problems in this field is co-reference resolution, i.e. the way of knowing when, in one or more texts, different descriptions refer to the same entity. A full co-reference resolution is difficult to achieve and too computationally demanding; moreover, in many applications it is enough to group the majority of co-referential expressions (expressions with the same referent) by means of a partial analysis. Our research is focused in co-reference resolution restricted to proper names, and we part from the definition of a new relation called "replicancia". Though replicancia relation does not coincide extensionally nor intensionally with identity, attending to the tests we have carried out, the error produced when we take the replicantes as co-referents is admissible in those applications which need systems where a very high speed of processing takes priority.