ppxscal/embedding_network huggingface dataset:
Construction and Practice for Interaction in Networked Learning Situation
Authors: Liang Ma, You-She Wang, Hai-Ying Sun
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Rapid development of informational technology has brought the reform of learning style. Networked learning has become increasingly accessible and familiar to us and has played more and more important role. In actual life the ability to communicate with others is essential to the achievement of its objectives. This is all the same to learn in the networked learning situation. Good interaction will facilitate learners to cooperate with others and fulfill learning tasks. Finally, they can improve themselves. Based on the research existed, this paper restudies the interaction in networked learning situation and explains what the interaction is, which factors affect it and how to design the interaction in networked learning situation. In the last part, we give an example based on our ideas.
Are the open issues of social software-based personal learning environment practices being addressed?
Authors: Antti Syvänen, Joanna Muukkonen, Mika Sihvonen
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

Social media has a particularly strong role in many types of activities today. It has also provided new kinds of possibilities, ways to act and be in contact with other people in networks and communities. Learning environment developers have noticed the potential of social media applications and many new theoretical constructs have been built to help apply the tools for learning. One of the most promising ones has been the PLE (Personal Learning Environment) which will allow learners to control their own learning better. PLE can also help to see learning in a more holistic way because it includes operating environments and networks people already use (also in leisure time). But PLE has also raised certain issues that have not been thoroughly considered, like continua of distributed-integrated architecture solutions, individual-collective processes and formal-informal operating environment, although they present several challenges for student learning, motivation and educational organizations.
Computerized Detection of Pulmonary Nodule Based on Two-Dimensional PCA
Authors: Wook-Jin Choi, Abdul Majid, Tae-Sun Choi
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

The main purpose of pulmonary nodule detection is to classify nodule from the lung computed tomography (CT) images. The variability of class is mainly expected to the grey-level variance, texture differences and shape. The purpose of this study is to develop a nodule detector based on Two-dimensional Principal Component Analysis (2DPCA). We extract the features using 2DPCA from nodule candidate images. Nodule candidates are then classified using threshold. The proposed method significantly reduces false positive (FP) rate. We applied it to Lung Imaging Database Consortium (LIDC) database of National Cancer Institute (NCI). The experimental results show the effectiveness and efficiency of the proposed method. The proposed method achieved 80.60% detection rate with 0.0391 FPs per slice.
Multi-level Dependability Modeling of Interdependencies between the Electricity and Information Infrastructures
Authors: Marco Beccuti, Giuliana Franceschinis, Mohamed Kaâniche, Karama Kanoun
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

The interdependencies between infrastructures may be the cause of serious problems in mission/safety critical systems. In the CRUTIAL project the interdependencies between the electricity infrastructure (EI) and the information infrastructure (II) responsible for its control, maintenance and management have been thoroughly studied; moreover countermeasures to substantially reduce the risk to interrupt the service have been developed in the project. The possible interdependencies have been investigated by means of model at different abstraction levels. In this paper, we present high level models describing the various interdependencies between the EI and the II infrastructures, then we illustrate on a simple scenario how these models can be detailed to allow the evaluation of some measures of dependability.
Flow Experience in Second Life: The Impact of Telepresence on Human-Computer Interaction
Authors: Anthony Faiola, Olga Smyslova
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

Recent trends in computer-mediated communication research suggest that "flow theory" may provide new applications of understanding within the field human-computer interaction (HCI). Csikszentmihalyi [1] refers to flow as an optimal experience issuing in a feeling of psychological immersion, energized focus, absolute involvement, and change to positive emotions. This study hopes to facilitate an understanding of flow and telepresence as applied to immersive online virtual worlds such as Second Life (SL), where players may lose their sense of time and connection with their present reality of space. Our study tested two hypotheses: (1) that participants experience flow while playing SL and (2) that flow can be correlated with telepresence. Based on our findings, indicators suggest that flow was experienced in SL based on four controlling factors related to being present in a virtual world and that there are considerable correlations that can be drawn between flow and telepresence.
A Proposal of a Method to Extract Active Ingredient Names from Package Inserts
Authors: Keita Nabeta, Masaomi Kimura, Michiko Ohkura, Fumito Tsuchiya
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Recently, medical accidents caused by drugs have attracted attention in Japan. To prevent this from affecting medical experts, it is effective to improve the `safety of drug usage' via information systems. Although package insert information in SGML format is provided by PMDA, it is not easy to utilize this information for such systems because they lack a suitable structure to provide direct access to the required information. In this study, we propose certain methods to extract the active ingredient name from such unstructured SGML data.
A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering
Authors: Sanghamitra Bandyopadhyay, Sriparna Saha
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

In this paper, at first a new line symmetry based distance is proposed which calculates the amount of symmetry of a point with respect to the first principal axis of a data set. The proposed distance uses a recently developed point symmetry based distance in its computation. Kd-tree based nearest neighbor search is used to reduce the complexity of computing the closest symmetric point. Thereafter an evolutionary clustering technique is described that uses this new principal axis based line symmetry distance for assignment of points to different clusters. The proposed GA with line symmetry distance based (GALS) clustering technique is able to detect any type of clusters, irrespective of their geometrical shape and overlapping nature, as long as they possess the characteristics of line symmetry. GALS is compared with the existing well-known GAK-means clustering algorithm. Three artificially generated and three real-life data sets are used to demonstrate its superiority.
Using Structural Joins and Holistic Twig Joins for Native XML Query Optimization
Authors: Andreas M. Weiner, Theo Härder
Venue: Proceedings of the 13th East European Conference on Advances in Databases and Information Systems (2009)

One of the most important factors for success of native XML database systems is a powerful query optimizer. Surprisingly, little has been done to develop cost models to enable cost-based optimization in such systems. Since the entire optimization process is so complex, only a stepwise approach will lead to a satisfying (future) solution. In this work, we are paving the way for cost-based XML query optimization by developing cost formulae for two important join operators, which allow to perform join reordering and join fusion in a cost-aware way, and, therefore, make joint application of Structural Joins and Holistic Twig Joins possible.
Semi-formal Models to Support Program Development: Autonomic Management within Component Based Parallel and Distributed Programming
Authors: M. Aldinucci, M. Danelutto, P. Kilpatrick
Venue: Formal Methods for Components and Objects: 7th International Symposium, FMCO 2008, Sophia Antipolis, France, October 21-23, 2008, Revised Lectures (2009)

Functional and non-functional concerns require different programming effort, different techniques and different methodologies when attempting to program efficient parallel/distributed applications. In this work we present a "programmer oriented" methodology based on formal tools that permits reasoning about parallel/distributed program development and refinement. The proposed methodology is semi-formal in that it does not require the exploitation of highly formal tools and techniques, while providing a palatable and effective support to programmers developing parallel/distributed applications, in particular when handling non-functional concerns.
A comparison of merging strategies for translation of German compounds
Authors: Sara Stymne
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (2009)

In this article, compound processing for translation into German in a factored statistical MT system is investigated. Compounds are handled by splitting them prior to training, and merging the parts after translation. I have explored eight merging strategies using different combinations of external knowledge sources, such as word lists, and internal sources that are carried through the translation process, such as symbols or parts-of-speech. I show that for merging to be successful, some internal knowledge source is needed. I also show that an extra sequence model for part-of-speech is useful in order to improve the order of compound parts in the output. The best merging results are achieved by a matching scheme for part-of-speech tags.
Gradient Learning in Networks of Smoothly Spiking Neurons
Authors: Jiří Šíma
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

A slightly simplified version of the Spike Response Model SRM0 of a spiking neuron is tailored to gradient learning. In particular, the evolution of spike trains along the weight and delay parameter trajectories is made perfectly smooth. For this model a back-propagation-like learning rule is derived which propagates the error also along the time axis. This approach overcomes the difficulties with the discontinuous-in-time nature of spiking neurons, which encounter previous gradient learning algorithms (e.g. SpikeProp). The new algorithm can naturally cope with multiple spikes and preliminary experiments confirm the smoothness of spike creation/deletion process.
Easy Yet Hard: Model Checking Strategies of Agents
Authors: Wojciech Jamroga
Venue: Computational Logic in Multi-Agent Systems: 9th International Workshop, CLIMA IX, Dresden, Germany, September 29-30, 2008. Revised Selected and Invited Papers (2009)

I present an overview of complexity results for model checking of temporal and strategic logics. Unfortunately, it is possible to manipulate the context so that different complexity results are obtained for the same problem. Among other things, this means that the results are often distant from the "practical" complexity which is encountered when one tries to use the formalisms in reality.
Maximal and minimal representations of gapped and non-gapped motifs of a string
Authors: Esko Ukkonen
Venue: Theoretical Computer Science (2009)

The problems of finding maximal and minimal equivalent representations for gapped and non-gapped motifs as well as finding motifs that characterize a fixed set of occurrence locations for a given string are studied. We apply two equivalence relations on representations. The first one is the well-known occurrence-equivalence of motifs. The second equivalence is introduced for patterns of occurrence locations, to characterize such patterns by motifs. For both equivalences, quadratic-time algorithms are given for finding a maximal representative of an equivalence class. Finding a minimal representative is shown to be NP-complete in both cases. For non-gapped motifs suffix-tree-based linear-time algorithms are given for finding maximal and minimal representatives. Maximal (minimal) gapped motifs are composed of blocks that are maximal (minimal) non-gapped motifs, maximal and minimal non-gapped motifs thus making up a small basis for all motifs. The implied bound on the number of gapped motifs that have a fixed number of non-gapped blocks is also given.
A Method of Software Reliability Test Based on Relative Reliability in Object-Oriented Programming
Authors: Wei Zhang, Pei Tian, Jianbo Liu, Jianzeng Li
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper presents an approach about how to use the relative reliability test and operation paths’ reliability prediction to adjust the test allocation of software reliability test in object-oriented programming which is based on the original operational profile. In this new method, software reliability test is not only based on the operational profiles but also guided by the relative reliability prediction results of operation paths. The adjustable range is decided by the original operation running rate and the operation independence factor which can be gotten by neural network learning algorithm and differentiated from software to software.
The Design and Development of an Adaptive Web-Based Learning System
Authors: Chian Wang
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Currently, most web-based learning systems do not differentiate the content materials presented to the various types of learners. Content adaptation is a concept inspired by enabling dynamic presentation generation based on the learner's preferences, e.g. knowledge level, gender, age, language, or past visits. The goal of content adaption is to take the heterogeneous and changing needs of the learners into account and thus to provide the most appropriate contents and the best learning satisfaction. To handle content adaptation and dynamic presentation generation, an XML-based content description mechanism called ADAM is proposed in this paper. ADAM's goal is to enhance learning effectiveness through providing the most appropriate materials under changing learners' requirements and preferences while simplifying the process of presentation composition.
Introduction
Authors: Ben Zhao, Paweł Garbacki, Christos Gkantsidis, Adriana Iamnitchi, Spyros Voulgaris
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

After a decade of intensive investigation, peer-to-peer computing has established itself as an accepted research eld in the general area of distributed systems. Peer-to- peer computing can be seen as the democratization of computing over throwing traditional hierarchical designs favored in client-server systems largely brought about by last-mile network improvements which have made individual PCs rst-class citizens in the network community. Much of the early focus in peer-to-peer systems was on best-effort le sharing applications. In recent years, however, research has focused on peer-to-peer systems that provide operational properties and functionality similar to those shown by more traditional distributed systems. These properties include stronger consistency, reliability, and security guarantees suitable to supporting traditional applications such as databases.
Gene Expression Data Cluster Analysis
Authors: Ping Guo, Xiao-yan Deng
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

The explosive growth of the gene expression data needs an automatic and effective data analysis tool urgently. Presently, clustering has become the powerful and widely used method in gene expression data analysis to obtain biological information. However, there are problems in analyzing gene expression data of over-dependence on the distribution of dataset and impossibly achieving a global optimal clustering effect. This paper introduces the spectral clustering method. The advantage of this method is that it can be used in any shape of sample space and converge in the global optimal. In experiment, We use yeast cell cycle and Lyer`s serum data set as the test data set and select adjust-FOM as the evaluation criteria. The result shows the spectral clustering method in the clustering effect is better than traditional clustering methods.
Virtual assistant: enhancing content acquisition by eliciting information from humans
Authors: Motoyuki Ozeki, Shunichi Maeda, Kanako Obata, Yuichi Nakamura
Venue: Multimedia Tools and Applications (2009)

In this paper, we propose the "Virtual Assistant," a novel framework for supporting knowledge capturing in videos. The Virtual Assistant is an artificial agent that simulates a human assistant shown in TV programs and prompts users to provide feedback by asking questions. This framework ensures that sufficient information is provided in the captured content while users interact in a natural and enjoyable way with the agent. We developed a prototype agent based on a chatbot-like approach and applied it to a daily cooking scene. Experimental results demonstrate the potential of the Virtual Assistant framework, as it allows a person to provide feedback easily with few interruptions and elicits a variety of useful information.
Wearable Sensing for Dynamic Management of Dense Ubiquitous Media
Authors: Mathew Laibowitz, Nan-Wei Gong, Joseph A. Paradiso
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

Most visions of ubiquitous computing anticipate a world permeated by a dense sampling of sensors, many of which will be capable of capturing, analyzing, and transmitting personally relevant and potentially privacy-sensitive media, such as video, audio, and identification information. This paper describes a set of sensor platforms that we have designed to experiment with personalization, interaction, and control in such dense media capture environments.
Corpus-based Chinese-Korean abstracting translation system
Authors: Jun-Jie Li, Key-Sun Choi
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

A Corpus-Based Chinese-Korean Abstracting Translation System is designed and implemented. Firstly, a text indexing method called Natural Hierarchical Network(NHN) is introduced, and then a Corpus-Based Word Segmentation algorithm is developed with the segmentation correctness of 98% for open test. Based on a words weighting function and a sentence importance weighting function which can dynamically calculate the importance of words and sentences by using the word frequency both in corpus and context, word length, sentence length and so on, an abstracting system is implemented to produce abstracts of texts in deferent languages and domains by any abstracting rate. Experiments show that generally abstracts produced by 10% to 20% abstracting rates can cover 90% of the important sentences of the input texts. Finally, combines with an Example-Based Chinese-Korean Machine Translation System, the generated abstracts are translated into target language with the correctness of translation of more than 70% by the important words oriented machine translation strategy.
Real-time WIP Status Monitoring Model in Discrete Manufacturing Workshop
Authors: Wang Zhiguo, Xu Jiahong, Zhang Jun
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

In order to catch production logistics information automatically, real time, exactly and detailedly, the viewpoint of based on data acquisition monitoring model of work in process(WIP) status was put forward. The hiberarchy and key content of WIP status were described particularly in this paper. By analyzing production logistics mode of discrete manufacturing enterprise and studying real time data acquisition technology, the concept of monitoring model of lean production logistics operation is put forward , which model is based on the real time data acquisition combining the characteristics of tracking and managing WIP in production workshop. The WIP status monitoring model and computing expressions are given in this paper on the basis of status identification and tracking to WIP. It is pointed out the intelligent data acquisition and sensor network technologies are key points of realizing lean production logistics. Finally, the lean production logistics operation monitoring model is presented by analyzing the structure of the production logistics monitoring system. The development of the monitoring applying system proved the model is practicable and algorithmic expressions are correct.
Tablerank: a ranking algorithm for table search and retrieval
Authors: Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effectively and efficiently searching tables becomes a challenge. Existing search engines do not provide satisfactory search results largely because the current ranking schemes are inadequate for table search and automatic table understanding and extraction are rather difficult in general. In this work, we design and evaluate a novel table ranking algorithm-TableRank to improve the performance of our table search engine Table-Seer. Given a keyword based table query, TableRank facilities TableSeer to return the most relevant tables by tailoring the classic vector space model. TableRank adopts an innovative term weighting scheme by aggregating multiple weighting factors from three levels: term, table and document. The experimental results show that our table search engine out-performs existing search engines on table search. In addition, incorporating multiple weighting factors can significantly improve the ranking results.
Discriminate Analysis on Listed Real Estate Companies from Related Financial Fundamentals
Authors: Jiang Xu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In this paper, discriminant analysis, a mathematical statistical method, is used to distinguish the operating status of China's real estate listed companies from good to bad. Four aspects of financial indicators, including earnings per share, current ratio, return on equity and assets-liabilities ratio, are identified to discriminate the operation state of Chinese real estate listed companies. The results are in accordance with the actual situation. This method provides a new way for identifying operating conditions of real estate listed companies in China.