ppxscal/embedding_network huggingface dataset:
The Strategic Role of Indigenous Innovation for Global Competition The Case Study of Mobile Phone and Telecom-Equipment Industry in China
Authors: Fengtao Zhu, Lei Xiao, Shiming Li
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

The indigenous innovation can enhance technology ability and ensure firm's sustainable development. We establish a conceptual model based on the relationship among globalization, market factors, technical factors and indigenous innovation. We use the cross-case analysis of Chinese mobile phone industry and telecom-equipment industry to demonstrate the model. In words, this article has some reference value for enterprises in the transitional time in China.
Packaging Mathematical Structures
Authors: François Garillot, Georges Gonthier, Assia Mahboubi, Laurence Rideau
Venue: Proceedings of the 22nd International Conference on Theorem Proving in Higher Order Logics (2009)

This paper proposes generic design patterns to define and combine algebraic structures, using dependent records, coercions and type inference, inside the Coq system. This alternative to telescopes in particular supports multiple inheritance, maximal sharing of notations and theories, and automated structure inference. Our methodology is robust enough to handle a hierarchy comprising a broad variety of algebraic structures, from types with a choice operator to algebraically closed fields. Interfaces for the structures enjoy the convenience of a classical setting, without requiring any axiom. Finally, we present two applications of our proof techniques: a key lemma for characterising the discrete logarithm, and a matrix decomposition problem.
The Numerical Simulation in Deep-Drawing Process of Conical Work Piece
Authors: Xiao-juan Lin, Zuo-cheng Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The numerical simulation of sheet metal forming can predict and display wrinkling, fracture and variation of sheet thickness in the drawing process. The drawing process of the conical work piece was simulated by using program DYNAFORM and the effect of blank holding force and other processing parameters on the formability of work pieces were also discussed in this paper.
Identification of event mentions and their semantic class
Authors: Steven Bethard, James H. Martin
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related task, identifying the semantic class of these events, can both be formulated as classification problems in a word-chunking paradigm. We introduce a variety of linguistically motivated features for this task and then train a system that is able to identify events with a precision of 82% and a recall of 71%. We then show a variety of analyses of this model, and their implications for the event identification task.
Reducing dominance in multiple-mouse learning activities
Authors: Andrea Moed, Owen Otto, Joyojeet Pal, Udai Pawar Singh, Matthew Kam Kentaro Toyama
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

In resource-constrained classrooms in the developing world, it is common for several students to share each computer. Unfortunately, dominance behavior often naturally emerges in these situations, when one child monopolizes the mouse and keyboard. One way to mitigate this phenomenon is by providing each child with a mouse and a corresponding on-screen cursor so that everyone can interact. Though such multiple-mouse configurations reduce the possibility of total domination by one individual, they do not automatically eliminate dominance behavior completely. We propose the use of a design for small-group learning on shared computers based on enforced turn-taking in a split-screen, multiple-mouse environment. In an evaluation with 104 rural schoolchildren in India, we found that dominance behavior was indeed reduced through these design choices.
Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks
Authors: N. C. Woolley, J. V. Milanović
Venue: Proceedings of the 8th International Conference on Artificial Immune Systems (2009)

The identification of voltage collapse prone areas in a power system network is often a difficult and computationally intensive task. Artificial Immune System (AIS) algorithms have been shown to be capable of generalization and learning to identify previously unseen patterns. In this paper, an AIS algorithm - Support Vector Machine (AIS-SVM) hybrid algorithm is developed to identify voltage collapse prone areas and overloaded lines in the power system network. The applicability of AIS for this particular task is demonstrated on a 30 bus electrical power system network and its accuracy compared to a conventional un-optimised SVM algorithm across 3 different power system networks.
From Novice to Expert --- User's Search Approaches for Design Knowledge
Authors: Ding-Bang Luh, Chia-Ling Chang
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

As the arrival of the individual creativity era, innovation needs user creativity from the general public, nowadays, the enterprise provides the components or tools of products for users to utilize their creativity, and thus, users can be viewed as another form of designers. This research is based on the concept, "user is innovator", using LEGO bricks and its players with high design capability as the research subjects, proposes a qualitative method on users' design knowledge, the procedure includes five steps: user subject identification, status attribute classification, design knowledge categorization, search approach analysis, and knowledge model construction. This article proposed the design knowledge connotation and search approaches of four statuses of highly-involved users (junior expert, exhibition participator, business manager, award winner). When users possess the needed design knowledge and search approaches, it does not only fulfill individual creativity, also indirectly expands the creativity origin of the enterprise and increases its economic value.
An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction
Authors: Jisheng Dai, Chunqi Chang, Zhongfu Ye, Yeung Sam Hung
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

A systems biology problem of reconstructing gene regulatory network from time-course gene expression microarray data via network component analysis (NCA) is investigated in this paper. Inspired by the idea that each column of the connectivity matrix can be estimated independently, we try to propose a fast and stable convex approach for nonnegative NCA (nnNCA). Compared with the existing method, our new method reduces the computational cost substantially, whereas maintains a reasonable accuracy. Both the simulation results and experimental results demonstrate the effectiveness of our method.
Development and Evaluation of a Digital Vegetation Interaction Game for Children
Authors: Akiko Deguchi, Shigenori Inagaki, Fusako Kusunoki, Etsuji Yamaguchi, Yoshiaki Takeda, Masanori Sugimoto
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

In this study, we develop a new digital sugoroku game that portray the phenomenon of vegetation succession in a forest. The results of the experimental evaluation showed that the game was effective in stimulating the interest of the students who participated in the game.
Co-Training Semi-Supervised Active Learning Algorithm Based on Noise Filter
Authors: Chen Yabi, Zhan Yongzhao
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

After using unlabeled samples to assist training, the classifier based on semi-supervised learning sometimes not only can not improve its generalization ability, but also get a degradation of performance for the introduction of too many noise samples. To overcome this disadvantage, a new algorithm called co-training semi-supervised active learning based on noise filter is presented in this paper. This algorithm uses three fuzzy buried markov models. To avoid the rejective judgment when the classifiers do not agree with each other and the inaccurate judgment when the initial weak classifiers all agree, some human-computer interactions are actively introduced to label the unlabeled sample at suitable time. Meanwhile, the noise filter is used to filter the computer automatically labeled samples which may be noise samples. The experimental results show that this algorithm applied to facial expression recognition can effectively improve the utilization of unlabeled samples, reduce the introduction of noise samples and raise the accuracy of expression recognition.
Ergonomic Approach for the Conception of a Theatre Medical Regulation System
Authors: William Guessard, Alain Puidupin, Richard Besses, Paul-Olivier Miloche, Aurélie Sylvain
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

This paper is a reflection for the conception of an overseas operations' computerised medical regulation system. After a short description of problem-solving and human error cognitive mechanisms, these concepts are used for the conception of a human centred theatre's medical regulation system.
Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images
Authors: Hao Li, Wee Kheng Leow, Chao-Hui Huang, Tet Sen Howe
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Scoliosis causes deformations such as twisting and lateral bending of the spine. To correct scoliotic deformation, the extents of 3D spinal deformation need to be measured. This paper studies the modeling and measurement of scoliotic spine based on 3D curve model. Through modeling the spine as a 3D Cosserat rod, the 3D structure of a scoliotic spine can be recovered by obtaining the minimum potential energy registration of the rod to the scoliotic spine in the x-ray image. Test results show that it is possible to obtain accurate 3D reconstruction using only the landmarks in a single view, provided that appropriate boundary conditions and elastic properties are included as constraints.
Intraclausal Coordination and Clause Detection as a Preprocessing Step to Dependency Parsing
Authors: Domen Marinči&#269, Matjaž Gams, Tomaž Šef
Venue: Proceedings of the 12th International Conference on Text, Speech and Dialogue (2009)

The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are proposed for clause and intraclausal coordination detection. They were included in a new dependency parsing algorithm, PACID. For evaluation, Slovene dependency treebank was used. At parsing, 6.4% and 9.2 % relative error reduction was achieved, compared to the dependency parsers MSTP and Malt, respectively.
Designing Management Information Systems
Authors: Hans van der Heijden
Venue:  (2009)

Management information systems (MIS) produce the information that managers use to make important strategic decisions. This book covers the essential managerial skills that are necessary to design these systems. In contrast to other books on management information systems, this book takes a decidedly managerial perspective. It focuses on how managers perceive and respond to information, and on their need to use this information to make important decisions. The book considers how systems can be designed to combat 'information overload' experienced by managers, using such techniques as data aggregation and data visualization. Chapters provide an in-depth and practical consideration of these topics, focusing on the use of information systesms for managerial decision making. Designing Management Information Systems covers the topics of key performance indicator monitoring, and of shortlisting and selecting alternatives from a range of options. These are managerial decisions for which MIS are particularly useful, and which managers face on a daily basis. This is the first book offering practical guidance on how systems should be designed to support these decisions. It is written for managers, those studying business, management, and IT, and those developing MIS on behalf of management. 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 very large dictionary with paradigmatic, syntagmatic, and paronymic links between entries
Authors: Igor A. Bolshakov, Alexander Gelbukh
Venue: Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries (2004)

A very large Russian dictionary is described. It contains currently 3.6 million links between its 120,000 entries. The links are syntagmatic (collocations), paradigmatic (WordNet-like), or paronymic (words similar in letters or in morphs). The entries of the dictionary are single- or multiwords belonging to four main POS. The entries represent so-called grammemes rather than lexemes: e.g., nouns are represented as singular and plural; verbs are split into 'finite forms + infinitive', 'participle', and 'gerund'. The multiword entries in turn can be collocations---idiomatic free---whose parts are also entries of the same dictionary.
Using N-Grams to understand the nature of summaries
Authors: Michele Banko, Lucy Vanderwende
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

Although single-document summarization is a well-studied task, the nature of multi-document summarization is only beginning to be studied in detail. While close attention has been paid to what technologies are necessary when moving from single to multi-document summarization, the properties of human-written multi-document summaries have not been quantified. In this paper, we empirically characterize human-written summaries provided in a widely used summarization corpus by attempting to answer the questions: Can multi-document summaries that are written by humans be characterized as extractive or generative? Are multi-document summaries less extractive than single-document summaries? Our results suggest that extraction-based techniques which have been successful for single-document summarization may not be sufficient when summarizing multiple documents.
Density-Based Clustering of Massive Short Messages Using Domain Ontology
Authors: Shenghong Yang, Yongheng Wang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

With the rapid development of information technology, huge data is accumulated. A vast amount of such data appears as short messages such as emails in companies or conversations in open chatting rooms. It is useful to find the themes or exceptional information from the messages by clustering the short documents based on density. However, traditional vector space model based text clustering algorithms can not get acceptable accuracy because the key words appear at low frequency. On the other hand, traditional text clustering algorithms become very inefficient or even unavailable when processing massive data at TB level. In this paper a density-based short message clustering algorithm using domain ontology based is presented. This algorithm uses domain ontology to calculate the semantic similarity between short messages which improves the Parallel method is also used to get better scalability.
A Testbed Implementation of Monitoring Assisted Local Route Recovery Scheme for Wireless Mesh Networks
Authors: Dominic K. H. Heah, Zainab R. Zaidi
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

In this paper, we present experimental results from testbed implementation of a simple monitoring assisted local route recovery scheme for wireless mesh networks (WMN). The scheme exploits the broadcast nature of wireless transmissions at special routers with added monitoring functionalities. These routers passively listen to the transmissions in the neighborhood and compare the forwarding behavior against pre-specified thresholds. If forwarded traffic exceeds the threshold, as a result of a malfunction, e.g., Denial-of-service (DoS) attack or node failure, these routers try to isolate the node causing the problem by routing the traffic around it. The performance evaluation of our scheme shows considerable improvement in data delivery rates over standard routing schemes.
The Researcher and Implement of High-Speed Modular Multiplication Algorithm Basing on Parallel Pipelining
Authors: Fang Xiangyan, Zhang Jiahong, Xiong Tinggang, Yuan Youguang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This page presents an improving method which realizes parallel operation in cell arithmetic unit and between cell arithmetic units to improve the speed of Montgomery modular multiplication algorithmic. Firstly, every cycle of Montgomery modular multiplication algorithmic has two parallel multiplication by improving Montgomery algorithmic; secondly, multi-cycle pipelining parallel computers by making the best of multiplication; last, the clock period number of finishing a large numbers modular multiplication operation is by implementing Montgomery algorithmic with parallel pipelining. Which , n is the width of multiplier, w is slice width of multiplier, m is parallel degree of cycle pipelining. The method improves not only the speed of Montgomery modular multiplication algorithmic, but also is fit to the configure implementing of resource and speed.
The Intelligent NGN Technolgy Operated in Fixed Network
Authors: Ya-qin Fang, Lin-zhu Wang
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In order to solve the problems that the process of the evolution is only in one step and the investment in network is so costly when the network in nowadays evolutes to NGN(Next Generation Networking), this paper has get a deep research about the soft switch, media gateway control protocol, access gateway and media server and such kind of technology and then submit a kind of design methodology, through the core of the control system in soft switch, selecting the advantage of IP (Internet Protocol), ATM, IN(Internet), TDM and so on to form hierarchical, relying on the interworking between the different kinds of protocols to access the different types of terminal, fully utilizing the network source in hand, at the meanwhile, realizing the amalgamation of operation and to advance the QOS of network. The conclusion indicates that this design methodology made for the structure of network effectively, enrich the method of the aperation mode and decrease the price of operation and manegement. This method can be used by the operation and management merchent to realize the transferation between the network and operation in a smoothly process.
Evolvable hardware for generalized neural networks
Authors: Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tetsuya Higuchi
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scalable neural network hardware system. In our system, both the topology and the hidden layer node functions of a neural network mapped on the chips are dynamically changed using a genetic algorithm. Thus, the most desirable network topology and choice of node function (e.g. Gaussian or sigmoid) for a given application can be determined adaptively. This approach is particularly suited to applications requiring ability to cope with time-varying problems and real-time timing constraints. The chip consists of 15 Digital Signal Processors (DSPs), whose functions and interconnections are reconfigured dynamically according to the chromosomes of the genetic algorithm. Incorporation of local learning hardware increases the learning speed significantly. Simulation results on adaptive equalization in digital mobile communication are also given. Our system is two orders of magnitude faster than a Sun SS20 on the corresponding problem.
Classification of Beef Marbling by Image Processing
Authors: Liu Muhua, Shen Jie, Zhao Jinhui
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

The price of beef is determined by the carcass grade,and beef grade usually evaluated subjectively based on marbling level. It is a good method to determine marbling level with computer vision instead of person. The method assessing beef grade based on image processing was studied in this paper.The image of longissimus dorsi muscle was segmented using threshold, dilation and erosion, and the parameters of marbling that extracted from dorsi muscle were described using moment. The model predicting grade of marbling based on support vector machine was obtained. The experiment indicated that the predicting accuracy was 95.9%, 89.2%,93.2%, 100% as grade 1, 2, 3, 4 respectively.
Optimal Double-Kernel Combination for Classification
Authors: Feng Wang, Hongbin Zhang
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

Traditional kernelised classification methods could not perform well sometimes because of the using of a single and fixed kernel, especially on some complicated data sets. In this paper, a novel optimal double-kernel combination (ODKC) method is proposed for complicated classification tasks. Firstly, data sets are mapped by two basic kernels into different feature spaces respectively, and then three kinds of optimal composite kernels are constructed by integrating information of the two feature spaces. Comparative experiments demonstrate the effectiveness of our methods.
Birnbaum-Saunders nonlinear regression models
Authors: Artur J. Lemonte, Gauss M. Cordeiro
Venue: Computational Statistics Data Analysis (2009)

We introduce, for the first time, a new class of Birnbaum-Saunders nonlinear regression models potentially useful in lifetime data analysis. The class generalizes the regression model described by Rieck and Nedelman [Rieck, J.R., Nedelman, J.R., 1991. A log-linear model for the Birnbaum-Saunders distribution. Technometrics 33, 51-60]. We discuss maximum-likelihood estimation for the parameters of the model, and derive closed-form expressions for the second-order biases of these estimates. Our formulae are easily computed as ordinary linear regressions and are then used to define bias corrected maximum-likelihood estimates. Some simulation results show that the bias correction scheme yields nearly unbiased estimates without increasing the mean squared errors. Two empirical applications are analysed and discussed.