ppxscal/embedding_network huggingface dataset:
Construction of B2B Electronic Commerce System Based on Apache Struts Framework
Authors: Xiangzhong Feng, Tian Le
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Apache Struts is an excellent framework based on the Model-View-Controller (MVC) design pattern for Web applications. The advantage of Struts is the view and business logic separated, and increases reusability and flexibility of the code for Web development. In this paper, to construct the B2B electronic commerce system, the Struts framework is used, and makes the system has features of high scalability, distribution with high transparency, high modularization and reusability.
An Efficient Mining Model for Global Frequent Closed Itemsets
Authors: Jianming Lin, Chunhua Ju, Dongsheng Liu
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

In this paper we address the problem of mining frequent closed itemsets in a highly distributed setting. At present, many sequential algorithms have been proposed for mining frequent closed itemsets. However, very little work has been done in discovering frequent closed itemsets in distributed environment. In this paper , an efficient mining model for global frequent closed itemsets is presented, which first analyzes distributed setting from three aspects, and then presented two mining algorithms under corresponding distributed setting. Finally experimental results show the feasibility and effectiveness of the model.
What game theory can do for NLG: the case of vague language
Authors: Kees van Deemter
Venue: Proceedings of the 12th European Workshop on Natural Language Generation (2009)

This informal position paper brings together some recent developments in formal semantics and pragmatics to argue that the discipline of Game Theory is well placed to become the theoretical backbone of Natural Language Generation. To demonstrate some of the strengths and weaknesses of the Game-Theoretical approach, we focus on the utility of vague expressions. More specifically, we ask what light Game Theory can shed on the question when an NLG system should generate vague language.
Dynamic Causality Diagram in Vehicular Engine's Fault Diagnosis
Authors: Qingxi Shi, Jianguo Liu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

We discuss the knowledge expression, reasoning and probability computing in dynamic causality diagram, which is developed from the belief network and overcomes some shortages of Belief Network. The model of causality diagram used for vehicular engine’s fault diagnosis is brought forward, and the model constructing method and reasoning algorithm are also presented. At last, an application example in the vehicular engine’s fault diagnosis is given which shows that the method is effective.
Engaging Kids with the Concept of Sustainability Using a Commercial Videogame-A Case Study
Authors: Panagiotis Tragazikis, Michael Meimaris
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

This paper focus on the use of a commercial game, [COTS (Commercial off-the-shelf games for learning)], as a main motivating and educating tool, to do aware kids of 11 years old about the relation, between every day actions and activities with emissions. It also intents to prove that, with the use of the game achieved a satisfied level of modified behaviour towards the concept of sustainability by changing attitudes and taking actions. Furthermore, intents to introduce a method, who is related to the efficient implementation of COTS, in primary's school educational projects.
Estimation of Missing Values Using a Weighted K-Nearest Neighbors Algorithm
Authors: Wang Ling, Fu Dong-Mei
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

This paper developed a novel method to estimate the values of missing data by the use of a weighted -nearest neighbors algorithm. A weighting scheme that exploits the correlation between a “missing” dimension and available data values from other fields, which is quantified based on the support vector regression method. The proposed method has been applied to a practical case of modeling steel corrosion. Comparing with the traditional imputation algorithm, the model results demonstrate its better generalization capability.
Evaluating the Potential of Cognitive Rehabilitation with Mixed Reality
Authors: Nicholas Beato, Daniel P. Mapes, Charles E. Hughes, Cali Fidopiastis, Eileen Smith
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

We describe the development and use of a mixed reality (MR) testbed to evaluate potential scenarios that may alleviate performance deficits in subjects who may be experiencing cognitive deficiencies, such as posttraumatic stress disorder (PTSD). The system blends real world sensory data with synthetic enhancements in the visual and aural domains. It captures user actions (movement, view direction, environment interaction, and task performance) and psychophysical states (engagement, workload, and skin conductivity) during an MR-enabled experience in order to determine task performance in the context of a variety of stimuli (visual and aural distracters in time-constrained activities). The goal is to discover triggers that affect stress levels and task performance in order to develop individualized plans for personal improvement.
Extended frequency-band-decomposition sigma---delta A/D converter
Authors: Philippe Benabes, Ali Beydoun, Jacques Oksman
Venue: Analog Integrated Circuits and Signal Processing (2009)

Parallelism can be used to increase the bandwidths of ADC converters based on sigma---delta modulators. Each modulator converts a part of the input signal band and is followed by a digital filter. Unfortunately, solutions using bandpass sigma---delta modulators are very sensitive to the position of the modulators' central frequencies. This paper shows the feasibility of a frequency-band-decomposition (FBD) ADC using continuous time bandpass sigma---delta modulators, even in the case of large analog mismatches. The major benefit of such a solution, called extended-frequency-band-decomposition (EFBD) is its low sensitivity to analog parameters. For example, a relative error in the central frequencies of 4% can be accepted without significant degradation in the performance (other published FBD ADCs require a precision of the central frequencies better than 0.1%). This paper will focus on the performance which can be reached with this system, and the architecture of the digital part. The quantization of coefficients and operators will be addressed. It will be shown that a 14 bit resolution can be theoretically reached using 10 sixth-order bandpass modulators at a sampling frequency of 800 MHz which results in a bandwidth of 80 MHz centered around 200 MHz (the resolution depends on the effective quality factor of the filters of the analog modulators).
Social Circles: A 3D User Interface for Facebook
Authors: Diego Rodrigues, Ian Oakley
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Online social network services are increasingly popular web applications which display large amounts of rich multimedia content: contacts, status updates, photos and event information. Arguing that this quantity of information overwhelms conventional user interfaces, this paper presents Social Circles, a rich interactive visualization designed to support real world users of social network services in everyday tasks such as keeping up with friends and organizing their network. It achieves this by using 3D UIs, fluid animations and a spatial metaphor to enable direct manipulation of a social network.
Mind Uploading: Artificial neural network, Artificial intelligence, Neuroinformatics, Computational neuroscience, Transhumanism, Douglas Hofstadter, Jeff ... Mind transfer in fiction
Authors: John McBrewster, Frederic P. Miller, Agnes F. Vandome
Venue:  (2009)

Mind uploading - Artificial neural network, Artificial intelligence, Neuroinformatics, Computational neuroscience, Transhumanism, Douglas Hofstadter, Jeff Hawkins, Marvin Minsky, Rodolfo Llins, Moore's law, Magnetoencephalography, Mind transfer in fiction, Brain-computer interface, Whole-body transplant, Cyborg, Exocortex
RCQ-GA: RDF Chain Query Optimization Using Genetic Algorithms
Authors: Alexander Hogenboom, Viorel Milea, Flavius Frasincar, Uzay Kaymak
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

The application of Semantic Web technologies in an Electronic Commerce environment implies a need for good support tools. Fast query engines are needed for efficient querying of large amounts of data, usually represented using RDF. We focus on optimizing a special class of SPARQL queries, the so-called RDF chain queries. For this purpose, we devise a genetic algorithm called RCQ-GA that determines the order in which joins need to be performed for an efficient evaluation of RDF chain queries. The approach is benchmarked against a two-phase optimization algorithm, previously proposed in literature. The more complex a query is, the more RCQ-GA outperforms the benchmark in solution quality, execution time needed, and consistency of solution quality. When the algorithms are constrained by a time limit, the overall performance of RCQ-GA compared to the benchmark further improves.
Modeling Ant Activity by Means of Structured HMMs
Authors: Guenael Cabanes, Dominique Fresnau, Ugo Galassi, Attilio Giordana
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Modeling societies of individuals is a challenging task increasingly attracting the interest of the machine learning community. Here we present an application of graphical model methods in order to model the behavior of an ant colony. Ants are tagged with RFID so that their paths through the environment can be constantly recorded. A Structured Hidden Markov Model has been used to build the model of single individual activities. Then, the global profile of the colony has been traced during the migration from one nest to another. The method provided significant information concerning the social dynamics of ant colonies.
Analyses and Validation of Conditional Dependencies with Built-in Predicates
Authors: Wenguang Chen, Wenfei Fan, Shuai Ma
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

This paper proposes a natural extension of conditional functional dependencies (cfds [14]) and conditional inclusion dependencies (cinds [8]), denoted by cfd p s and cind p s, respectively, by specifying patterns of data values with ¿, <, ≤, > and ¿ predicates. As data quality rules, cfd p s and cind p s are able to capture errors that commonly arise in practice but cannot be detected by cfds and cinds. We establish two sets of results for central technical problems associated with cfd p s and cind p s. (a) One concerns the satisfiability and implication problems for cfd p s and cind p s, taken separately or together. These are important for, e.g., deciding whether data quality rules are dirty themselves, and for removing redundant rules. We show that despite the increased expressive power, the static analyses of cfd p s and cind p s retain the same complexity as their cfds and cinds counterparts. (b) The other concerns validation of cfd p s and cind p s. We show that given a set $\it \Sigma$ of cfd p s and cind p s on a database D, a set of sql queries can be automatically generated that, when evaluated against D, return all tuples in D that violate some dependencies in $\it \Sigma$. This provides commercial dbms with an immediate capability to detect errors based on cfd p s and cind p s.
Sharing instructional materials for IT degree programs
Authors: Gregory W. Hislop
Venue: Proceedings of the 10th ACM conference on SIG-information technology education (2009)

The goal of this session is to start a discussion among IT educators about the value and possible approaches to sharing instructional materials. IT is the computing discipline for which the community of educators has most recently organized (as measured by milestones such as accreditation and development of a curriculum model). Sharing instructional materials and providing broader access to materials is an important step in continuing to develop a cohesive community of IT educators. At the same time, sharing materials is very difficult to do well. Faculty reward systems generally do not give much weight for any efforts that faculty members make to share their instructional materials with others. In addition, it is difficult to find the right form so that materials are easy to locate, and useful in contexts beyond the course for which they were developed. As organizer of this session, my interest in this topic is driven by the experience of leading an effort to create a BSIT degree program and obtain accreditation for it. My interest is also driven by current and prior work in several areas including: SWENET - SWENET is an NSF-funded repository of instructional materials related to software engineering. SWENET is a possible model for an IT materials collection. SWENET is located at http://swenet.org. IT 2008 - With the release of this curriculum model, there is a framework that could provide a basis for developing and organizing shared instructional materials. Ensemble - Ensemble is an NSF-funded effort to create a digital library to support all of computing education, including IT. Additional information about Ensemble can be found at http://computingportal.org
Fast Lossless Compression of Seismic Floating-Point Data
Authors: Xing Xie, Qianqing Qin
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Modern seismic exploration produces vast amount of data that may be transferred between computers as well as to and from storage devices. Compression algorithms are then desirable to make seismic data processing more efficient in terms of storage and transmission bandwidth. Most current algorithms being used for floating-point seismic data compression are based on wavelet or LCT (local cosine transform) and may result in information loss. In this paper, a new lossless floating seismic data compression method based on differential predictor and adaptive context-based arithmetic coding (DPACAC) is presented, which can achieve higher compression ratios compared with other lossless algorithms
Time-optimal control problem for co-operative hyperbolic systems involving the Laplace operator
Authors: H. A. El-Saify, H. M. Serag, M. A. Shehata
Venue: Journal of Dynamical and Control Systems (2009)

In this paper, the time-optimal control problem for (2 × 2)-co-operative hyperbolic system with variable coefficients and involving Laplace operator is considered. This problem is, steering the initial state ((y(0), y¿(0)) so that the observation z(t) hitting a given target set in minimum time. For different cases of the observation, the time-optimal controls are characterized in terms of the adjoint, this characterization (in particular case of the space of controls) is used to derive specific properties of the optimal control (bang-bangness, uniqueness, etc.). These results are extended to the case of (n × n)-co-operative hyperbolic system.
A SAM-Based Evolution Model of Ontological User Model
Authors: Jianguo Pan, Bofeng Zhang, Gengfeng Wu
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

The goal of user modeling is to provide personalized services based on user’s interests and preferences, thus allowing for more efficient information access. Frequently user’s interests drift with time. The ability to adapt fast to the current user's interests is an important feature of user model. In this paper, based on behavioral psychology, a SAM (Spreading Activation Model)-based evolution model of ontological user model is proposed. The method utilizes semantic technology to adapt user model with the support of domain ontology. A spreading activation algorithm is used to maintain the interest weights based on the user’s ongoing behaviors. In the end, the SAM-based evolution model is applied in a computer science paper retrieval system (CSPRS). The result shows that the precision and recall of the retrieval system are improved obviously, and the SAM-based model is effective and efficient in the user model evolution.
A semi-automatic evaluation scheme: automated nuggetization for manual annotation
Authors: Liang Zhou, Namhee Kwon, Eduard Hovy
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

In this paper we describe automatic information nuggetization and its application to text comparison. More specifically, we take a close look at how machine-generated nuggets can be used to create evaluation material. A semiautomatic annotation scheme is designed to produce gold-standard data with exceptionally high inter-human agreement.
Mobile Video Monitoring System Based on FPGA and GPRS
Authors: Zheng Shang Zhi, Han Yun
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

In order to improve efficiency of video monitoring system and meet the needs of mobile video system, MPEG-4 video compression encoder was designed, which use the "cross" motion estimation algorithm and DCT if whose coefficients all is zero, it can prejudged, processor structure based on the Nios was created, and video transmission based on GPRS module was built. The system is real-time mobile video monitoring intelligent system with implementing the integration of monitoring, security and control.
Information Extraction from Semi-structured WEB Page Based on DOM Tree and its Application in Scientific Literature Statistical Analysis System
Authors: WeiDong Li, Yibing Dong, RuiJiang Wang, HongXia Tian
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

To extract information automatically from semi-structured web pages, this paper puts forward a method named IESS for discovering the record model based on DOM and Maximal Similar Sub Tree, to identify records automatically and correctly when there are some differences in expression models of records that belong to the same type. To test the performance of the method, a scientific literature statistical analysis system is designed. The practice shows that users can quickly understand the distribution of papers in their retrieving field and grasp the importance with the help of the system.
Around the table: are multiple-touch surfaces better than single-touch for children's collaborative interactions?
Authors: Amanda Harris, Jochen Rick, Victoria Bonnett, Nicola Yuill, Rowanne Fleck, Paul Marshall, Yvonne Rogers
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

This paper presents a classroom study that investigated the potential of using touch tabletop technology to support children's collaborative learning interactions. Children aged 7-10 worked in groups of three on a collaborative planning task in which they designed a seating plan for their classroom. In the single-touch condition, the tabletop surface allowed only one child to interact with the digital content at a time. In the multiple-touch condition, the children could interact with the digital content simultaneously. Results showed that touch condition did not affect the frequency or equity of interactions, but did influence the nature of children's discussion. In the multiple-touch condition, children talked more about the task; in the single-touch condition, they talked more about turn taking. We also report age and gender differences.
Time-Frequency Analysis of SAR Image Based on Generalized S-Transform
Authors: Zhenming Peng, Jie Zhang, Fanmin Meng, Jun Dai
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

A new time-frequency representation approach based on the generalized S-transform (GST) was developed to analysis Synthetic aperture radar (SAR) images. At first, a SAR image is decomposed into one-dimensional (1-D) signals by choosing different scalable windows, rather than doing S-transform directly. Then, algorithm simulations and textural feature analysis are conducted using both basic S-transform (BST) and GST which has an adjustable time-frequency resolution. The simulation results show that the proposed method appears to work well and the GST spectrum can provide more complementary feature information than the BST spectrum for textural analysis of SAR images.
A framework of view-dependent planar scene active camouflage
Authors: Huei-Yung Lin, Wen-Nung Lie, Min-Liang Wang
Venue: International Journal of Imaging Systems and Technology (2009)

Active camouflage is a technique for occluding objects disappear from the observer. Current implementations make assumptions on the viewpoints of both the observer and the camouflaged target. In this work, we present a framework of view-dependent planar scene camouflage. The cameras representing the observer and the occluding object are placed in general positions. The images captured by the object camera are transformed to the observer viewpoint to generate globally consistent visual data for transparent camouflage. Experimental results are presented for real scene images. &copy; 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 167&ndash;174, 2009
Learning Class Specific Graph Prototypes
Authors: Shengping Xia, Edwin R. Hancock
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

This paper describes how to construct a graph prototype model from a large corpus of multi-view images using local invariant features. We commence by representing each image with a graph, which is constructed from a group of selected SIFT features. We then propose a new pairwise clustering method based on a graph matching similarity measure. The positive example graphs of a specific class accompanied with a set of negative example graphs are clustered into one or more clusters, which minimize an entropy function. Each cluster is simplified into a tree structure composed of a series of irreducible graphs, and for each of which a node co-occurrence probability matrix is obtained. Finally, a recognition oriented class specific graph prototype (CSGP) is automatically generated from the given graph set. Experiments are performed on over 50K training images spanning ~500 objects and over 20K test images of 68 objects. This demonstrates the scalability and recognition performance of our model.