ppxscal/embedding_network huggingface dataset:
Profiling the EG Research Community and Its Core
Authors: Hans J. Scholl
Venue: Proceedings of the 8th International Conference on Electronic Government (2009)

Electronic Government Research (EGR) has progressed beyond its stages of infancy and has unfolded into a respected domain of multi- and cross-disciplinary study. A sizable and dedicated community of researchers has formed. So far, however, few, if any, accounts exist which sufficiently analyze the profile of the electronic government research community. The contribution of this paper is to describe this profile and give a detailed account of the core researcher community, name the most prolific researchers, determine their disciplinary backgrounds, and identify their preferred standards of inquiry. The study also identifies and quantifies the preferred publishing outlets in EGR, distinguishing between core journals and core conferences, on the one hand, and non-core sites, on the other hand. This study advances the understanding of the emerging structure and profile of the academic domain of EGR and helps researchers identify adequate publishing outlets for their domain-related research.
Integration of Heterogeneous Medical Decision Support Systems Based on Web Services
Authors: Chung C. Chang, Hsueh-Ming Lu
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

This study employs the framework of web services in conjunction with Bayesian theorem and decision trees to construct a web-services-based decision support system for medical diagnosis and treatment. The purpose is to help users (physicians) with issues pertinent to medical diagnosis and treatment decisions. Users through the system key in available prior probability and through computation based on Bayesian theorem obtain the diagnosis. The process helps users enhance the quality and efficiency of medical decisions, and the diagnosis can be transmitted to a decision-tree-based treatment decision support service component via XML to generate recommendation and analysis for treatment decisions. On the other hand, features of web services enable this medical decision support system to offer more service platforms than conventional one. Users will have access to the system whether they use Windows, Macintosh, Linux or any other platforms that connect with the Internet via HTTP. More important is the fact that after the system is completed all Internet service providers will be able to access the system as a software unit freely and quickly. This way, the goal of this study to provide medical decision support tools and speedily integrate heterogeneous medical decision support systems can be effectively attained.
Evaluation of University Creative Talent Cultivation Based on Modified Data Envelopment Analysis Model
Authors: Wang Xiu-mei, Gao Chong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

As the backbone of the national creative system, universities shoulder the heavy task of creative personnel training. It is particularly important for scientific and rational evaluation of the university creative personnel training. This paper introduces a minimum input and largest output ideal decision-making unit on the basis of using the traditional method of data envelopment analysis from the point of efficiency view. The DEA evaluation model is modified, and the decision-making units are full evaluation and ranking. By evaluating the 11 faculties of a university's innovation personnel training efficiency, the results indicate the effectiveness of this method, providing reference for the University to strengthen internal management and decision-making.
Research of Evaluating Method To MIS
Authors: Kong Lingbo
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

A synthesized Evaluating method to MIS is brought forward in this paper, which is based on Delphi, AHP and fuzzy comprehensive evaluation, and put a coefficient to professors initiately during the evaluating process. It could to solve evaluating promblems to MIS well, and aidant to some enterprises and departments.
A Mining Algorithm Study of Obtaining Diagnosis Rule from Cinical Data and Diseases Cases
Authors: Wei Yuke, Li Jiangping
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

This paper analyzed the datum characteristics of clinical data and diseases database if the traditional Chinese Medicine (TCM) tongue diagnosis. A mining algorithm of association rules have been advanced,which mines the diagnosis rules. The algorithm presented a more efficiency method of quantitative description about strength of association relationship.Meanwhile the paper improved FP-growth mining algorithm. Research have been made in every field of accuracy of quantitative description and high efficiency of algorithm.The application result make clear that the algorithm can be accurate more and fitter.
Performance Modelling and Analysis of Integrated WLANs and Internet-Access Mesh Networks
Authors: Geyong Min, Yulei Wu, Laurence T. Yang
Venue: Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 01 (2009)

Wireless Mesh Networks (WMNs) have emerged as a promising and cost-effective approach to extending the coverage range of wireless local area networks (WLANs) and providing last-mile broadband Internet access. Mesh routers and mesh clients are the key components of WMNs. Mesh routers perform the dual tasks of forwarding packets as well as providing network access to mesh clients. Mesh routers facilitated with the gateway functionality can be connected to the wired infrastructure for Internet access. Traffic streams towards or from the gateway form a tree-based logical structure. In this paper, we develop a new analytical model to investigate the performance metrics including throughput and end-to-end delay in the integrated WLANs and Internet-access WMN with the tree-based logical structure. Extensive simulation experiments are conducted to demonstrate the fact that the proposed analytical model can accurately predict the performance of the integrated network under various working conditions. By virtue of the analytical model, we can tune the system parameters and adjust the density of mesh routers at different locations so as to alleviate the bottleneck problem in the integrated WLANs and WMN.
Interaction Technique for a Pen-Based Interface Using Finger Motions
Authors: Yu Suzuki, Kazuo Misue, Jiro Tanaka
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

Our research goal is to improve stylus operability by utilizing the human knowledge and skills applied when a user uses a pen. Such knowledge and skills include, for example, the way a person holds a pen to apply a generous amount of ink to draw a thick line with a brush pen. We propose a form of interaction, Finger Action, which uses input operations applying such knowledge and skills. Finger Action consists of five input operations: gripping, thumb tapping, index-finger tapping, thumb rubbing, and index-finger rubbing. In this paper, we describe Finger Action, a prototype pressure-sensitive stylus used to realize Finger Action, an application of Finger Action, and an evaluation of the practicality of Finger Action.
Early deletion of fillers in processing conversational speech
Authors: Matthew Lease, Mark Johnson
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

This paper evaluates the benefit of deleting fillers (e.g. you know, like) early in parsing conversational speech. Readability studies have shown that disfluencies (fillers and speech repairs) may be deleted from transcripts without compromising meaning (Jones et al., 2003), and deleting repairs prior to parsing has been shown to improve its accuracy (Charniak and Johnson, 2001). We explore whether this strategy of early deletion is also beneficial with regard to fillers. Reported experiments measure the effect of early deletion under in-domain and out-of-domain parser training conditions using a state-of-the-art parser (Charniak, 2000). While early deletion is found to yield only modest benefit for in-domain parsing, significant improvement is achieved for out-of-domain adaptation. This suggests a potentially broader role for disfluency modeling in adapting text-based tools for processing conversational speech.
Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation
Authors: Philippe Chassy, Henri Prade
Venue: Proceedings of the 3rd International Conference on Scalable Uncertainty Management (2009)

People try to make sense of the usually incomplete reports they receive about events that take place. For doing this, they make use of what they believe the normal course of thing should be. An agent$\textquoteright$s beliefs may be consonant or dissonant with what is reported. For making sense people usually ascribe different types of relations between events. A prototypical example is the ascription of causality between events. The paper proposes a systematic study of consonance and dissonance between beliefs and reports. The approach is shown to be consistent with findings in psychology. An implementation is presented with some illustrative examples.
Equilibria in heterogeneous nonmonotonic multi-context systems
Authors: Gerhard Brewka, Thomas Eiter
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. Nonmonotonic bridge rules are used to specify the information flow among contexts. We investigate several notions of equilibrium representing acceptable belief states for our multi-context systems. The approach generalizes the heterogeneous monotonic multi-context systems developed by F. Giunchiglia and colleagues as well as the homogeneous nonmonotonic multi-context systems of Brewka, Serafini and Roelofsen.
Issues for Applying Instant Messaging to Smart Home Systems
Authors: Jongmyung Choi, Sangjoon Park, Hoon Ko, Hyun-Joo Moon, Jongchan Lee
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

In this paper, we argue that instant messaging is suitable for smart home systems. We classify smart home services into three groups - standalone, simple co-work, and workflow -, identify requirements, and show why instant messaging is suitable for these services. Furthermore, we address three issues for applying instant messaging to smart home services: architecture, user interface, and message protocol. We adopt a combination of the peer-to-peer architecture for the internet-wide services and the centralized client-server architecture in the house. We propose an interpreter-based GUI for user interface of clients, and XML format for the communication message on the top of XMPP.
Kernel PCA for HMM-Based Cursive Handwriting Recognition
Authors: Andreas Fischer, Horst Bunke
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this paper, we propose Kernel Principal Component Analysis as a feature selection method for offline cursive handwriting recognition based on Hidden Markov Models. In contrast to formerly used feature selection methods, namely standard Principal Component Analysis and Independent Component Analysis, nonlinearity is achieved by making use of a radial basis function kernel. In an experimental study we demonstrate that the proposed nonlinear method has a great potential to improve cursive handwriting recognition systems and is able to significantly outperform linear feature selection methods. We consider two diverse datasets of isolated handwritten words for the experimental evaluation, the first consisting of modern English words, and the second consisting of medieval Middle High German words. 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
Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification
Authors: Hengzhi Wu, Thomas Roelleke
Venue: Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory (2009)

Through BM25, the asymptotic term frequency quantification TF = tf/(tf+K), where ${\textmd{tf}}$ is the within-document term frequency and K is a normalisation factor, became popular. This paper reports a finding regarding the meaning of the TF quantification: in the triangle of independence and subsumption, the TF quantification forms the altitude, that is, the middle between independent and subsumed events. We refer to this new assumption as semi-subsumed. While this finding of a well-defined probabilistic assumption solves the probabilistic interpretation of the BM25 TF quantification, it is also of wider impact regarding probability theory.
Search Engine Optimization All-in-One Desk Reference For Dummies
Authors: Bruce Clay, Susan Esparza
Venue: For Dummies (2009)

If you have a business, you want your Web site to show up quickly when people search for what youre selling. Search Engine Optimization All-in-One For Dummies has the whole story on how to build a site that works, position and promote it, track and understand your search results, and use keywords effectively. And it includes a $25 credit on Google AdWords, to get you off to a good start! Ten handy minibooks cover how search engines work, keyword strategy, competitive positioning, SEO Web design, content creation, linking, optimizing the foundations, analyzing results, international SEO, and search marketing. Youll even learn some geeky things like HTML, JavaScript, and CSS, or how to match metatags and keywords to page content. Book I explores how search engines work and which ones offer the best exposure Learn to develop a keyword strategy and be competitive with Books II and III Book IV helps you design an SEO-friendly site, while in Book V you learn to create content that lures your audience Tips in Book VI show how to line up relevant links for a better search showing Book VII shows how to get more from your server and content management system Discover how to measure your sites success in Book VIII Book IX helps you globalize your success by marketing in Asia, Europe, and Latin America Use SEO and Book X tips to build your brand With all this information and a Google AdWords gift card worth $25, Search Engine Optimization All-in-One For Dummies has what you need to make your site a hit with search engines.
A Framework for Supporting Business, Data and User Interface Integration between Multiple CAD and PDM Systems
Authors: Jin Zhang, Hongqiao Zhou, Zhuoning Chen, Xiaoguang Yan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Many multinational manufacturers have product development process in geographically dispersed locations. In this environment, it is likely that multiple CAD software packages and PDM systems have been deployed. Usually these systems have been developed independently, written in different languages and run on different platforms. Accordingly, these diversities result in difficulties in integration among them due to heterogeneous networks, applications and platforms. In this paper, we propose a framework that supports business, data, and User Interface (UI) integration between multiple CAD and PDM systems. In this framework, Web Services technology is adopted to encapsulate the major functions of CAD and PDM systems so as to implement business integration. In addition, a CAD unified interface method is introduced to help wrap multiple CAD and facilitate product metadata exchange. Finally, a UI model-driven approach is provided for supporting UI integration. To validate the feasibility of the proposed framework, a prototype has been developed based on the suggested approach.
Context-dependent term relations for information retrieval
Authors: Jing Bai, Jian-Yun Nie, Guihong Cao
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related words are usually determined with respect to a single word, without relevant information for its application context. For example, the word "programming" may be considered to be strongly related to "Java", and applied inappropriately to expand a query on "Java travel". To solve this problem, we propose to add another context word in the relation to specify the appropriate context of the relation, leading to term relations of the form "(Java, travel) &rarr; Indonesia". The extracted relations are used for query expansion in IR. Our experiments on several TREC collections show that this new type of context-dependent relations performs much better than the traditional co-occurrence relations.
A benchmark set for the reconstruction of hv-convex discrete sets
Authors: Péter Balázs
Venue: Discrete Applied Mathematics (2009)

In this paper we summarize the most important generation methods developed for the subclasses of hv-convex discrete sets. We also present some new generation techniques to complement the former ones thus making it possible to design a complete benchmark set for testing the performance of reconstruction algorithms on the class of hv-convex discrete sets and its subclasses. By using this benchmark set the paper also collects several statistics on hv-convex discrete sets, which are of great importance in the analysis of algorithms for reconstructing such kinds of discrete sets.
Logic Programming Techniques in Protein Structure Determination: Methodologies and Results
Authors: Alessandro Palù, Agostino Dovier, Enrico Pontelli
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

The purpose of this paper is to provide a brief overview of how logic programming technology has been used by our team in addressing the problem of tertiary protein structure determination. The proposed approach tackles the problem from the perspective of viewing protein structure as a folding of protein sequences in a discrete representation of space (a crystal lattice structure). Logic programming and constraint programming technologies can be effectively used to provide an elegant and effective solution.
Dynamic and Static Influence Models on Starbucks Networks
Authors: Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

In this paper, we consider Starbucks stores in Korea, which have been spread most rapidly in the world, as an exemplary social network. We define two kinds of influence models and analyze the diffusive power of each node in a network. One is Dynamic Influence Model for time-varing diffusion analysis and the other is Static Influence Model for cumulative spreading power analysis. The physical features of the most influential stores of the simulation results show that our social influence models are convincing.
Sequential nonlinear manifold learning
Authors: S. Kumar, J. Guivant, B. Upcroft, H. F. Durrant-Whyte
Venue: Intelligent Data Analysis (2007)

The computation of compact and meaningful representations of high dimensional sensor data has recently been addressed through the development of Nonlinear Dimensional Reduction (NLDR) algorithms. The numerical implementation of spectral NLDR techniques typically leads to a symmetric eigenvalue problem that is solved by traditional batch eigensolution algorithms. The application of such algorithms in real-time systems necessitates the development of sequential algorithms that perform feature extraction online. This paper presents an efficient online NLDR scheme, Sequential-Isomap, based on incremental singular value decomposition (SVD) and the Isomap method. Example simulations demonstrate the validity and significant potential of this technique in real-time applications such as autonomous systems.
Selecting Relevant EEG Signal Locations for Personal Identification Problem Using ICA and Neural Network
Authors: Preecha Tangkraingkij, Chidchanok Lursinsap, Siripun Sanguansintukul, Tayard Desudchit
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

The problem of identifying a person using biometric data may be of interest. In this paper,EEG signals are used to identify a person as different persons have different EEG patterns. EEG signals can be measured from different locations. Too many signals can degrade the recognition speed and accuracy. A practical technique combining independent component analysis (ICA) for signal cleaning and a supervised neural network for classifying signals is proposed. From 16 EEG different signal locations, three truly relevant locations FP1, P3, and C4 were selected. This selection is based on signals obtained from the subjects at the Comprehensive Epilepsy Program of Chulalongkorn University Hospital, Bangkok, Thailand.
VisiNav: Visual Web Data Search and Navigation
Authors: Andreas Harth
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Semantic Web technologies facilitate data integration over a large number of sources with decentralised and loose coordination, ideally leading to interlinked datasets which describe objects, their attributes and links to other objects. Such information spaces are amenable to queries that go beyond traditional keyword search over documents. To this end, we present a formal query model comprising six atomic operations over object-structured datasets: keyword search, object navigation, facet selection, path traversal, projection, and sorting. Using these atomic operations, users can incrementally assemble complex queries that yield a set of objects or trees of objects as result. Results can then be either directly displayed or exported to application programs or online services. We report on user experiments carried out during the design phase of the system, and present performance results for a range of queries over 18.5m statements aggregated from 70k sources.
AZ66: How Can We Play with Emotions?
Authors: Stéphan Froment, Mélanie Ginibre, Stéphanie Mader, Antoine Sarafian, Aymeric Schwartz, Delphine Soriano, Alexandre Topol, Jérôme Dupire
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

Since the early 90's, affective computing researches have mainly been focused on emotions recognition and less on original entertainment contents that could be proposed. We present a prototype resulting from the association of a physiological sensing device with an original game.
Aggregating user-centered rankings to improve web search
Authors: Lin Li, Zhenglu Yang, Masaru Kitsuregawa
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists in order of user interests termed as a user profile. Moreover, based on the click-history data, a kind of taxonomic hierarchy automatically models the user profile which can include a variety of attributes of user interests. We mainly focus on the topics a user is interested in and the degrees of user interests in these topics. The primary goal of our work is to form a broadly acceptable ranking list, rather than that determined by an individual ranking measure. Experiment results on a real click-history data set show the effectiveness of our aggregation techniques to improve the web search.