ppxscal/embedding_network huggingface dataset:
Describing N2R Properties Using Ideal Graphs
Authors: Jens M. Pedersen, Jose M. Gutierrez, Tomasz Marciniak, Bozydar Dubalski, Antoni Zabludowski
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

N2R structures are a subset of Generalized Petersen Graphs and a potentially good option to be used for implementing degree three networks. The previous works on these structures verify that N2R are better than other degree three regular topologies such as Double Rings or Honeycomb in terms of path distances. The cost of this good performance is a more complex and non-planar interconnection configuration; It is complex to find analytical models to be used, for example for describing topological parameters. This paper proposes and verifies the possibility of approximating real N2R graphs to optimal and ideal graphs, which are much easier to model, obtaining fairly accurate results. A main result of the paper is a simple formula for approximating average distance and diameter given the number of nodes in a N2R graph.
GIS-Based Assessment on Eco-vulnerability of Jiangxi Province
Authors: Fan Zhewen, Liu Musheng, Shen Wenqing, Lin Liansheng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

The research on assessing the eco-environment vulnerability contributes to ecological environmental conservation and development. Taking Jiangxi Province as a case study, this research has developed the index system of eco-vulnerability from the perspective of the meaning and the cause of eco-vulnerability and in accordance with the eco-environment situation of Jiangxi Province. The indicators were weighted by the principle of the spatially principal component analysis. With the support of GIS, the integrated index evaluation was applied in assessing eco-vulnerability. The result shows, in 2005, the moderate fragile area dominates and shares 85.36% of land area in Jiangxi Province; the land area with mild vulnerability 14.64% and few land area with intensive fragility 0.002%. In general, Jiangxi Province belongs to the moderate fragile area. The eco-fragility of Jiangxi province widely and apparently varies in spatial distribution. The mountain areas in the upstream of five rivers have the more intensive eco-vulnerable environment, while Ji’tai basin and Plain area of Poyang Lake are the contrary, and the hilly areas in the middle and lower of five rivers fill in with the mild vulnerability. The conclusion of this research is that the material constitutes and structure in natural ecosystem found the vulnerable environment and the stresses from the anthropogenic activities play as catalyst to intensify the vulnerability.
Moving Vehicle Tracking Based on SIFT Active Particle Choosing
Authors: Tao Gao, Zheng-Guang Liu, Wen-Chun Gao, Jun Zhang
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

For particle filtering tracking method, particle choosing is random to some degree according to the dynamics equation, which may cause inaccurate tracking results. To compensate, an improved particle filtering tracking method is presented. A moving vehicle is detected by redundant discrete wavelet transforms method (RDWT), and then the key points are obtained by scale invariant feature transform. The matching key points in the follow-up frames obtained by SIFT method are used as the initial particles to improve the tracking performance. Experimental results show that more particles centralize in the region of motion area by the presented method than traditional particle filtering, and tracking results of moving vehicles are more accurate. The method has been adopted by Tianjin traffic bureau of China, and has a certain actual application prospect.
Beamformer-Based Spatiotemporal Imaging of Correlated Brain Activities
Authors: I-Tzu Chen, Yong-Sheng Chen, Li-Fen Chen
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

The past findings have suggested that temporal correlation may relate the communications between the distributed areas. There are some studies in Magnetoencephalography and electroencephalography to analyze the functional connectivity between cortical areas with the oscillations feature of neuronal activity. However, it is also important to observe the functional connectivity through temporal correlation between cortical areas. We proposed a beamformer-based approach which exploits a maximum correlation criterion to maximize the significance level of correlation between brain activities. This criterion leads to a closed-form solution of the dipole orientation. Experiments with simulation data clearly demonstrate the effectiveness, necessity, and accuracy of the proposed method.
A dialectical based model coherent with inventive and optimization problems
Authors: Sébastien Dubois, Thomas Eltzer, Roland De Guio
Venue: Computers in Industry (2009)

In an array of problem solving methods, one can traditionally distinguish two kinds of problems: one is a problem that has solutions in a search space and the other is a problem that does not have solutions in a given space. The later problem so called solutionless problem or inventive problem requires an inventive approach to reformulate the problem and dialectical thinking brings benefits in the process. The framework used to formulate problems in a dialectical approach is contradiction. Identification of contradictions plays an important role in distinguishing solutionless problems: a contradiction exists when no solution can be found, and a solution exists when no contradiction can be found. In this article, the inadequacy of existing frameworks in satisfying this requirement is demonstrated and a framework that fits this requirement is proposed.
Applying E-S-QUAL Scale to Analysis the Factors Affecting Consumers to Use Internet Banking Services
Authors: Quan Sun, Chunlei Wang, Hao Cao
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

In order to measuring internet banking customer perceived e-service quality and study on relationship with customer loyalty in China. This study use Parasuraman, Zeithaml and Malhotra’s E-S-QUAL scales to design the research model of this research. Structural equation modeling was used to analyze the data collected from banks’ customers in China. The main findings are as follows: 1) the research supported that the four e-SERVQUAL dimensions–efficiency, fulfillment, system availability and privacy are the determinants of Chinese internet banking e-service quality. 2) e-service quality has a positive effect on perceived value, e-customer satisfaction. 3) E-service quality has both direct effect on e-loyalty and indirect effect on e-loyalty through perceived value and e-customer satisfaction.
An Effective Video Shot Boundary Detection Method Based on the Local Color Features of Interest Points
Authors: Xiang Fu, Jie-xian Zeng
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

Video shot boundary detection is an important early stage of video analysis. In this paper, a new method for shot boundary detection using local color features (LCF) is presented. Firstly, interest points are detected for each frame. Then, local images are obtained based on the interest points. Finally, shot boundaries are detected based on the histogram difference of local images. LCF can overcome the deficiency of traditional histogram-based method that different contents frames have similar histograms, and can distinguish between gradual changes and camera motions effectively. Experimental results successfully validate the new method and show that it can effectively detect both abrupt transitions and gradual transitions.
AltBOC and CBOC Correlation Functions for GNSS Signal Synchronization
Authors: Youngpo Lee, Youngyoon Lee, Taeung Yoon, Chonghan Song, Sanghun Kim, Seokho Yoon
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

Binary offset carrier (BOC) signal synchronization is based on the correlation between the received and locally generated BOC signals. Thus, the multiple side-peaks in BOC autocorrelation are one of the main error sources in synchronizing BOC signals. Recently, new correlation functions with no side-peak were proposed for sine and cosine phased BOC signal synchronization, respectively, by the authors [3]. In this paper, we propose new correlation functions with no side-peak for alternative BOC (AltBOC) and composite BOC (CBOC) signals by using the similar approach to the previous work.
Gem #57: Ada / Java cross dispatching
Authors: Quentin Ochem
Venue: ACM SIGAda Ada Letters (2009)

In the preceding Ada/Java interfacing Gem, we saw how to create calls from Ada to Java using ada2java and callbacks. We're now going to go one step further, and discuss a cross-language dispatching mechanism that supports extension of an Ada tagged type in Java, allowing the possibility of making dispatching calls equally well from either side.
Design and Implementation of Sensor Tag Middleware for Monitoring Containers in Logistics Systems
Authors: Gihong Kim, Md. Kafil Uddin, Bonghee Hong
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

Sensor tag having user memory can be used both for identification and storing sensor data. Monitoring sensor data in container is a big issue in logistics system. Containers in logistics system generate huge amount of sensing information which requires handling efficiently to provide response to the user queries. Moreover, collection of sensor data from sensor tag by using heterogeneous reader devices is also a big challenge in sensor tag deployment. To achieve these goals, a flexible middleware is needed that provides glue between applications and the heterogeneity of devices by facilitating optimized set of services at high performance to a scalable number of users. In this paper, we propose Sensor Tag Middleware architecture that incorporates characteristics of standard EPCglobal middleware with several unique features such as reader abstraction, integration, high performance and scalability. In order to illustrate our proposed middleware we implement it for monitoring containers in port logistics. By our experimental result we show that building query indexing scheme considerably improves the performance than naive approach.
High-Performance H.264/SVC Video Communications in 802.11e Ad Hoc Networks
Authors: Attilio Fiandrotti, Dario Gallucci, Enrico Masala, Juan Carlos Martin
Venue: Traffic Management and Traffic Engineering for the Future Internet: First Euro-NF Workshop, FITraMEn 2008, Porto, Portugal, December 11-12, Revised Selected Papers (2009)

This work focuses on improving the performance of video communications based on the recently developed H.264 Scalable Video Coding (SVC) standard over 802.11e wireless networks. The H.264/SVC standard is particularly suitable for wireless communications because of its compression efficiency and the ability to adapt to different network scenarios. The adoption of the H.264/SVC codec in 802.11 networks poses however some issues. In particular, since pictures are encoded into several small video units, the overhead imposed by the 802.11 contention-based channel access mechanism might be large. Thus, the strategy employed for the packetization of the video data plays a key role in determining the performance of the network. This work proposes two network adaptation strategies for H.264/SVC video to efficiently use the QoS-enabled 802.11e extension of the 802.11 standard by designing a scheme for joint optimization of video data aggregation and unequal error protection. Simulations of video transmissions in a realistic home networking scenario characterized by direct communications between devices in ad hoc mode show that the proposed strategies reduce the packet loss rate and significantly improve the quality of the communication with PSNR gains up to about 2 dB. Moreover, the performance of the proposed low-complexity strategy is close to that of the optimal, high-complexity, strategy. 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
Optimal Predicting PID Controller Based on Elite-Based Hybrid Genetic Algorithm
Authors: Wu Yingying, Liu Jin, Nie Deming
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

There are many improved methods of optimizing PID control parameters. However, it is still difficult for most of them to reach the performance of fast search and optimize the parameters with high quality. Hence, an optimal predicting PID controller based on elite-based hybrid genetic algorithm is presented which improves the simple GA in a large degree with some new strategies and is suitable for the process with unknown time-varying delay, disturbance and time-varying parameters. The simulation results show that the controller has enhanced response speed and robustness. It is an effective control algorithm that combine elite-based hybrid genetic algorithm with predictive control.
A new design optimization framework based on immune algorithm and Taguchi's method
Authors: Ali Rıza Yıldız
Venue: Computers in Industry (2009)

This paper describes an innovative optimization approach that offers significant improvements in performance over existing methods to solve shape optimization problems. The new approach is based on two-stages which are (1) Taguchi's robust design approach to find appropriate interval levels of design parameters (2) Immune algorithm to generate optimal solutions using refined intervals from the previous stage. A benchmark test problem is first used to illustrate the effectiveness and efficiency of the approach. Finally, it is applied to the shape design optimization of a vehicle component to illustrate how the present approach can be applied for solving shape design optimization problems. The results show that the proposed approach not only can find optimal but also can obtain both better and more robust results than the existing algorithm reported recently in the literature.
Towards effective sentence simplification for automatic processing of biomedical text
Authors: Siddhartha Jonnalagadda, Luis Tari, Jörg Hakenberg, Chitta Baral, Graciela Gonzalez
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technical text. We propose a text simplification process, bioSimplify, that seeks to reduce the complexity of sentences in biomedical abstracts in order to improve the performance of syntactic parsers on the processed sentences. Syntactic parsing is typically one of the first steps in a text mining pipeline. Thus, any improvement in performance would have a ripple effect over all processing steps. We evaluated our method using a corpus of biomedical sentences annotated with syntactic links. Our empirical results show an improvement of 2.90% for the Charniak-McClosky parser and of 4.23% for the Link Grammar parser when processing simplified sentences rather than the original sentences in the corpus.
Expectations for user experience in haptic communication with mobile devices
Authors: Jani Heikkinen, Thomas Olsson, Kaisa Väänänen-Vainio-Mattila
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

The haptic modality -- the sense of touch -- is utilized very limitedly in current human-computer interaction. Especially in mobile communication, the haptic modality could provide a means for richer multimodal and emotional communication between users over distance. Haptic user interface prototypes have been developed but their user experience has not been studied extensively. We conducted seven focus group sessions to study users' expectations for user experience of haptic interaction, specifically focusing on mobile communication. The paper presents the user experience factors that were regarded by potential users as salient in haptic interaction: subjective quality of the haptic stimuli, privacy, intimacy and spontaneity. Also the possibilities, restrictions and suitability of the haptic mobile communication are discussed. Most appropriate use cases for haptic communication were found to be conveying emotions and binary information. As the main conclusion, we present design guidelines for haptic mobile communication that were drawn up based on the findings.
Phase-field simulation of microstructure formation in technical castings - A self-consistent homoenthalpic approach to the micro-macro problem
Authors: B. Böttger, J. Eiken, M. Apel
Venue: Journal of Computational Physics (2009)

Performing microstructure simulation of technical casting processes suffers from the strong interdependency between latent heat release due to local microstructure formation and heat diffusion on the macroscopic scale: local microstructure formation depends on the macroscopic heat fluxes and, in turn, the macroscopic temperature solution depends on the latent heat release, and therefore on the microstructure formation, in all parts of the casting. A self-consistent homoenthalpic approximation to this micro-macro problem is proposed, based on the assumption of a common enthalpy-temperature relation for the whole casting which is used for the description of latent heat production on the macroscale. This enthalpy-temperature relation is iteratively obtained by phase-field simulations on the microscale, thus taking into account the specific morphological impact on the latent heat production. This new approach is discussed and compared to other approximations for the coupling of the macroscopic heat flux to complex microstructure models. Simulations are performed for the binary alloy Al-3at%Cu, using a multiphase-field solidification model which is coupled to a thermodynamic database. Microstructure formation is simulated for several positions in a simple model plate casting, using a one-dimensional macroscopic temperature solver which can be directly coupled to the microscopic phase-field simulation tool.
PAC-personality and cognition: an interactive system for modeling agent scenarios
Authors: Lin Padgham, Guy Taylor
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

PAC is an interactive system for experimenting with scenarios of agents, where the agents are modelled as having both cognition and personality, as well as a physical realisation. The aim of the system is to provide an environment where scenarios can quickly and easily be built up, varying aspects of agent personality (or emotions) and agent cognition (plans and beliefs). This will allow us to experiment with different combinations of agents in different worlds. We can then investigate the effect of various parameters on emergent behaviour of the agent system.
Chinese Deterministic Dependency Parser Considering Prepositional Phrase
Authors: Wenlin Yao, LingLing Gao, Lei Wang, JianXin Dong
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

It's proved that Nivre’s algorithm causes some errors for determining the right-side dependents. In Chinese, only verbs and prepositions have right-side dependents. Jin proposed a two-phase parser to solve verbs' problems. In this paper, we present a method to solve prepositions 'problems. Experimental results show that our approach achieves higher accuracy than previous approach.
A Gesture Analysis and Modeling Tool for Interactive Embodied Agents
Authors: Quan Nguyen, Michael Kipp
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

In conjunction with Anvil and suitable annotation schemes, GAnTooL (A Gesture Annotation And Modeling Tool for Anvil) is a tool to annotate human nonverbal behavior like gestures and poses efficiently with the help of a skeleton. Using intuitive controls the user can quickly mirror the observed speaker's poses. The results can be used to build gesture descriptions and whole lexicons that transfer human behavior to interactive embodied agents. These agents can then be animated realtime with a character animation engine like EMBR. GAnTooL can also be used to create rough animations for games or movies: an export option in the Collada standard allows further editing in standard 3D modeling tools.
Towards an Embedded Approach to Declarative Problem Solving in ASP
Authors: Jia-Huai You
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

The strength of answer set programming (ASP) lies in solving computationally challenging problems declaratively, and hopefully efficiently. A similar goal is shared by two other approaches, SAT and Constraint Programming (CP). As future applications of ASP hinge on its underlying solving techniques, in this note, I will briefly comment on the related techniques, and argue for the need of ASP systems to integrate with state-of-the-art techniques for constraint solving, and in general to serve as the core reasoning engine to glue other logics and reasoning mechanisms together.
Application of Grey Model in Fire Prediction
Authors: Qiu Taorong, Zhang Jifang, Bai Xiaoming, Nie Bin
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Grey Model is with the characters of less date, high precision and without prior information. In the paper, a Grey Model GM (1, 1) and a Metabolizing Model are used for the fire prediction of some province and compared them to provide decision references for the concerning governments. The case shows that Grey Model is a simple process and effective practicality. GM (1, 1) is of higher precision and less prediction errors. Besides, fire protection of the province is still severe and should take close attention to it.
Helicopter Rotor Balance Adjustment Using GRNN Neural Network and Genetic Algorithm
Authors: Hongmei Liu, Yunlong Cai, Chen Lu, Jiahui Luan
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Considering the drawbacks of traditional adjustment method without calculating possible nonlinear between rotor adjustments and fuselage vibration signals, a new rotor adjustment method based on general regression neural network (GRNN) and genetic algorithm is presented. GRNN network is employed to model the relationship of the rotor adjustments and fuselage vibrations, whose input parameters are rotor adjustment parameters and whose outputs are acceleration measurements along the three axes of rotor shaft and the fuselage. With helicopter vibration as objective function, genetic algorithm (GA) was used to make a global optimization to find the suitable rotor adjustments corresponding to the minimum vibrations. Flight test results indicate that proposed rotor adjustment method can minimize fuselage vibration at fundamental rotor frequency along the three axes, only in one or two adjustment flights. Moreover the neural networks are easily updated if new data becomes available thus allowing the system to evolve and mature in the course of its use.