ppxscal/embedding_network huggingface dataset:
XACML Policy Profile for Multidomain Network Resource Provisioning and Supporting Authorisation Infrastructure
Authors: Yuri Demchenko, Mihai Cristea, Cees de Laat
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

Policy definition is an important component of the consistent authorisation service infrastructure that could be effectively integrated with the general resource provisioning workflow and network control and management plane. The paper describes the proposed XACML-NRP policy and attributes profile for Network Resource Provisioning. In addition to specifying a set of subject, resource, action attributes that are required for consistent XACML policy definition, the proposed profile allows also handling network path information what is especially important for QoS enforcement. To overcome stateless character of XACML policies, the proposed authorisation infrastructure provides a number of security mechanisms to support such important for NRP functionality as authorisation session and interdomain security context management, simple delegation, conditional authorisation decisions, and policy obligations handling.
Carrier Wave Phase Synchronizers
Authors: António D. Reis, José F. Rocha, Atilio S. Gameiro, José P. Carvalho
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

This work studyfour carrier wave phase synchronizers (CWPS) or carrier wave Phase Lock Loop (CWPLL).The VCO (Voltage Controlled Oscillator) output of the phase synchronizer synchronizes directly with the input carrier wave.We consider four carrier synchronizers namely the analog, hybrid, combinational and sequential. The difference between them is in the phase detector.The objective is to study the synchronizers and evaluate their output jitter UIRMS (Unit Interval Root Mean Square) as function of the input SNR (Signal to Noise Ratio).
Customized and Optimized Service Selection with ProtocolDB
Authors: Zoé Lacroix, Maria-Esther Vidal, Christophe R. Legendre
Venue: Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems (2009)

Infrastructures that support reasoning on services and their composition into workflows are critical to evaluate and improve performance. In this paper we present ProtocolDB, a system that supports process design and analysis. The approach allows the description of a workflow with alternate implementations thus, allowing reasoning on workflow performance with respect to service selection during the rewriting phase. We illustrate the approach with the analysis and evaluation of a scientific workflow with respect to two measures: cost and quality.
Integrating socio-economic and biophysical data to support water allocations within river basins: An example from the Inkomati Water Management Area in South Africa
Authors: W. J. de Lange, R. M. Wise, G. G. Forsyth, A. Nahman
Venue: Environmental Modelling Software (2010)

Sustainable natural resource management requires inputs from both the natural and the social sciences. Since natural and social systems are inter-related and inter-dependent, it is essential that these data can be integrated within a given analysis, which requires that they are spatially compatible. However, existing environmental and socio-economic monitoring networks tend to observe, collect and report socio-economic and biophysical data separately; with the result that much of these data are spatially incompatible, adding to the complexity of objective and consistent resource management. We present an approach for overcoming spatial incompatibilities between socio-economic and biophysical data; based on a meta-modelling approach using Geographical Information Systems and an application of a water-use simulation model. The method is developed and applied to the irrigation agriculture sector in the Inkomati Water Management Area in South Africa. Agricultural census data, which are measured on a magisterial district scale, are integrated with geo-referenced land-cover data, which are independent of political boundaries. This allows us to increase the resolution at which data on the economic value derived from irrigation water are presented, from coarse magisterial district scale to a finer 'meso-zone' scale, enabling more efficient allocations of irrigation water within magisterial districts.
Weighted Description Logics Preference Formulas for Multiattribute Negotiation
Authors: Azzurra Ragone, Tommaso Noia, Francesco M. Donini, Eugenio Sciascio, Michael P. Wellman
Venue: Proceedings of the 3rd International Conference on Scalable Uncertainty Management (2009)

We propose a framework to compute the utility of an agreement w.r.t a preference set in a negotiation process. In particular, we refer to preferences expressed as weighted formulas in a decidable fragment of First-order Logic and agreements expressed as a formula. We ground our framework in Description Logics (DL) endowed with disjunction, to be compliant with Semantic Web technologies. A logic based approach to preference representation allows, when a background knowledge base is exploited, to relax the often unrealistic assumption of additive independence among attributes. We provide suitable definitions of the problem and present algorithms to compute utility in our setting. We also validate our approach through an experimental evaluation.
Playful bottle: a mobile social persuasion system to motivate healthy water intake
Authors: Meng-Chieh Chiu, Shih-Ping Chang, Yu-Chen Chang, Hao-Hua Chu, Cheryl Chia-Hui Chen, Fei-Hsiu Hsiao, Ju-Chun Ko
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

This study of mobile persuasion system explores the use of a mobile phone, when attached to an everyday object used by an everyday behavior, becomes a tool to sense and influence that behavior. This mobile persuasion system, called Playful Bottle system, makes use of a mobile phone attached to an everyday drinking mug and motivates office workers to drink healthy quantities of water. A camera and accelerometer sensors in the phone are used to build a vision/motion-based water intake tracker to detect the amount and regularity of water consumed by the user. Additionally, the phone includes hydration games in which natural drinking actions are used as game input. Two hydration games are developed: a single-user TreeGame with automated computer reminders and a multi-user ForestGame with computer-mediated social reminders from members of the group playing the game. Results from 7-week user study with 16 test subjects suggest that both hydration games are effective for encouraging adequate and regular water intake by users. Additionally, results of this study suggest that adding social reminders to the hydration game is more effective than system reminders alone.
A robust subpixel motion estimation algorithm using HOS in the parametric domain
Authors: E. M. Ismaili Aalaoui, E. Ibn-Elhaj, E. H. Bouyakhf
Venue: Journal on Image and Video Processing (2009)

Motion estimation techniques are widely used in todays video processing systems. The most frequently used techniques are the optical flow method and phase correlation method. The vast majority of these algorithms consider noise-free data. Thus, in the case of the image sequences are severely corrupted by additive Gaussian (perhaps non-Gaussian) noises of unknown covariance, the classical techniques will fail to work because they will also estimate the noise spatial correlation. In this paper, we have studied this topic from a viewpoint different from the above to explore the fundamental limits in image motion estimation. Our scheme is based on subpixel motion estimation algorithm using bispectrum in the parametric domain. The motion vector of a moving object is estimated by solving linear equations involving third-order hologram and the matrix containing Dirac delta function. Simulation results are presented and compared to the optical flow and phase correlation algorithms; this approach provides more reliable displacement estimates particularly for complex noisy image sequences. In our simulation, we used the database freely available on the web.
Feature extraction from time series data
Authors: Durga Toshniwal
Venue: Journal of Computational Methods in Sciences and Engineering (2009)

Many scientific and business domains require the collection and analysis of time series data. Feature extraction is an important component of time series data mining. In this paper, we introduce simple and novel techniques for feature extraction from time series data based on moments and slopes. The proposed techniques are capable of handling vertical and horizontal shifts existing between time sequences. They can also handle global scaling and shrinking of the time sequences.
Programming with Microsoft Visual Basic 2008: An Object-Oriented Approach, 3rd edition
Authors: Michael Ekedahl
Venue:  (2009)

Programming with MICROSOFT VISUAL BASIC 2008: AN OBJECT-ORIENTED APPROACH, Third Edition is designed for individuals with little or no programming background. In this edition, each chapter is divided into two lessons Concept and Application. The Concept lesson appears first. Software design and programming concepts appear in this section. In the Application lesson, you will find the design and implementation of a real-world application, along with limited hands-on steps to complete that application.
Strong scaling analysis of a parallel, unstructured, implicit solver and the influence of the operating system interference
Authors: Onkar Sahni, Christopher D. Carothers, Mark S. Shephard, Kenneth E. Jansen
Venue: Scientific Programming (2009)

PHASTA falls under the category of high-performance scientific computation codes designed for solving partial differential equations (PDEs). Its a massively parallel unstructured, implicit solver with particular emphasis on fluid dynamics (CFD) applications. More specifically, PHASTA is a parallel, hierarchic, adaptive, stabilized, transient analysis code that effectively employs advanced anisotropic adaptive algorithms and numerical models of flow physics. In this paper, we first describe the parallelization of PHASTA's core algorithms for an implicit solve, where one of our key assumptions is that on a properly balanced supercomputer with appropriate attributes, PHASTA should continue to strongly scale on high core counts until the computational workload per core becomes insufficient and inter-processor communications start to dominate. We then present and analyze PHASTA's parallel performance across a variety of current near petascale systems, including IBM BG/L, IBM BG/P, Cray XT3, and custom Opteron based supercluster; this selection of systems with inherently different attributes covers a majority of potential candidates for upcoming petascale systems. On one hand, we achieve near perfect (linear) strong scaling out to 32,768 cores of IBM BG/L; showing that a system with desirable attributes will allow implicit solvers to strongly scale on high core counts (including petascale systems). On the contrary, we find that the relative tipping point for strong scaling fundamentally differs among current supercomputer systems. To understand the loss of scaling observed on a particular system (Opteron based supercluster) we analyze the performance and demonstrate that such a loss can be associated to an unbalance in a system attribute; specifically compute-node operating system (OS). In particular, PHASTA scales well to high core counts (up to 32,768 cores) during an implicit solve on systems with compute nodes using lightweight kernels (for example, IBM BG/L); however, we show that on a system where the compute node OS is more heavy weight (e.g., one with background processes) a loss in strong scaling is observed relatively at much fewer number of cores (4,096 cores).
Distance perception in NPR immersive virtual environments, revisited
Authors: Lane Phillips, Brian Ries, Victoria Interrante, Michael Kaeding, Lee Anderson
Venue: Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization (2009)

Non-photorealistic rendering (NPR) is a representational technique that allows communicating the essence of a design while giving the viewer the sense that the design is open to change. Our research aims to address the question of how to effectively use non-photorealistic rendering in immersive virtual environments to enable the intuitive exploration of early architectural design concepts at full scale. Previous studies have shown that people typically underestimate egocentric distances in immersive virtual environments, regardless of rendering style, although we have recently found that distance estimation errors are minimized in the special case that the virtual environment is a high-fidelity replica of a real environment that the viewer is presently in or has recently been in. In this paper we re-examine the impact of rendering style on distance perception accuracy in this virtual environments context. Specifically, we report the results of an experiment that seeks to assess the accuracy with which people judge distances in a non-photorealistically rendered virtual environment that is a directly-derived stylistic abstraction of the actual environment that they are currently in. Our results indicate that people tend to underestimate distances to a significantly greater extent in a co-located virtual environment when it is rendered using a line-drawing style than when it is rendered using high fidelity textures derived from photographs.
On the Optimum Communication Cost Problem in Interconnection Networks: Finding Near-Optimum Solutions for Topology Design Problems Using Randomized Algorithms
Authors: Khalid Al-Zamil
Venue:  (2009)

In the Optimum Communication Spanning Tree (OCST) problem, a spanning tree for a complete graph has to be found that satisfies the communication requirements needed by the vertices with a minimum total cost. A special case of the OCST problem is the Optimum Distance Spanning Tree (ODST) problem, where the requirements are restricted to be constant. Both problems are known to be NP-hard. In this book, a randomized algorithm has been proposed to efficiently solve two special cases of the ODST problem. This can be achieved by randomly generating spanning trees with certain properties. This book also includes the history of the OCST problem along with a literature survey. This is in addition to a discussion on the different deterministic algorithms that exist for enumerating all spanning trees of a graph. An empirical study has been conducted that showed that the proposed algorithm can yield near- optimum solutions. The experiments involve testing the proposed algorithm to solve these special cases using several randomly generated graphs, in addition to the hypercube and butterfly network topologies to some specified dimension. 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
Application of Environmental Carrying Capacity in Regional Environmental Impact Assessment: A Case Study on Shandong Rencheng Economic
Authors: Yongquan Yin, Xiang Liu, Jianchun Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

The analysis of environmental carrying capacity (ECC) is one of the most important methods to regional environmental impact assessment (REIA). The purpose of this paper is to establish a simple and practical method to assess ECC of economic development area in China. A simple assessment indicator system (AIS) which mainly contained 16 important indicators was constructed and accordingly the comprehensive assessment of ECC was given.The comprehensive assessment of ECC of Shandong Rencheng economic development area (SREDA), which is an economic development area besides the eastern route of the South-to-North water diversion project in China, was carried out according its comprehensive planning of 2010. This work would contribute greatly to decision-support and policy-making processes, and REIA in the process of sustainable development of economic development areas.
A Comparison of Spatial Pattern Spectra
Authors: Sander Land, Michael H. Wilkinson
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

Pattern spectra have frequently been used in image analysis. A drawback is that they are not sensitive to changes in spatial distribution of features. Various methods have been proposed to address this problem. In this paper we compare several of these on both texture classification and image retrieval. Results show that Size Density Spectra are most versatile, and least sensitive to parameter settings.
Towards a Flexible Information Technology Infrastructure: A Multidimensional Analysis
Authors: Lior Fink
Venue:  (2009)

Researchers and practitioners have emphasized the potential strategic value of a firm's information technology (IT) infrastructure, which is largely determined by the ability to provide a flexible technological response to rapidly changing business needs. Among several approaches, a multidimensional approach that views IT infrastructure as composed of shared IT services (process infrastructure), formed through the integration of IT components (technical infrastructure) with IT knowledge and skills (human infrastructure), emerges as the broadest conceptual representation. This book adopts this approach and combines resource- and capability-oriented views of the firm to explore, conceptually and empirically, the organizational impacts of IT infrastructure flexibility in the context of Web-based environments. The book offers an explanation of how organizational inputs in the form of information technologies and systems are associated with strategic organizational outputs. The book examines the leveraging role of complementary human and process-related IT assets, thus advancing the understanding of how IT strategic value is created. 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
An investigation on niching multiple species based on population replacement strategies for multimodal functions optimization
Authors: Minqiang Li, Dan Lin, Jisong Kou
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2009)

This paper studies the niching mechanism based on population replacement in the process of evolution to solve the multimodal functions optimization (MMFO) problems. In order to niche multiple species for the MMFO tasks, the overlapping population replacement is surely needed because the offspring population most probably does not inherit all of the genetic information contained in its parental population, and the basic procedure for niching genetic algorithms with overlapping population replacement is presented. Then four niching schemes, the nearest neighbors replacement crowding (NNRC), the species conservation technique (SCT), the HFC-I (implicit hierarchical fair competition), and the CPE (clearing procedure with elitist) are investigated. These niching schemes are characterized with regard to different niching strategies and parameterizations, and the corresponding niching procedures are outlined. Finally, experiments are carried out on a suite of test functions to compare different niching strategies regarding niching efficiency and scalability. Experimental results illustrate the intrinsic difference of the four niching schemes. The NNRC and HFC-I have a mechanism of multiple species coevolution via adapting multiple species to different niches, while the SCT and CPE tend to make use of a mandatory mechanism to conserve species just like the grid searching over the solution space based on species distance or clearing radius. All niching methods are able to deal with complex MMFO problems, while the NNRC and HFC-I show a better performance in terms of niching efficiency and scalability, and are more robust regarding the algorithm parameterization.
Human Action Recognition by Semilatent Topic Models
Authors: Yang Wang, Greg Mori
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

We propose two new models for human action recognition from video sequences using topic models. Video sequences are represented by a novel “bag-of-words” representation, where each frame corresponds to a “word.” Our models differ from previous latent topic models for visual recognition in two major aspects: first of all, the latent topics in our models directly correspond to class labels; second, some of the latent variables in previous topic models become observed in our case. Our models have several advantages over other latent topic models used in visual recognition. First of all, the training is much easier due to the decoupling of the model parameters. Second, it alleviates the issue of how to choose the appropriate number of latent topics. Third, it achieves much better performance by utilizing the information provided by the class labels in the training set. We present action classification results on five different data sets. Our results are either comparable to, or significantly better than previously published results on these data sets.
A practical approach for photometric acquisition of hair color
Authors: Arno Zinke, Martin Rump, Tomás Lay, Andreas Weber, Anton Andriyenko, Reinhard Klein
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

In this work a practical approach to photometric acquisition of hair color is presented. Based on a single input photograph of a simple setup we are able to extract physically plausible optical properties of hair and to render virtual hair closely matching the original. Our approach does not require any costly special hardware but a standard consumer camera only.
On Mapping Approach of CN to FR in Product Family Improvement
Authors: Yan-hong Qin, Guang-xing Wei
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Product family improvement is to improve or optimize the existing product family in enterprise. But the key to product family improvement is to comprehend the mapping relationship of customer need (CN) information to function requirement (FR). To solve the mapping problem of CN to FR, CN are expressed in the first place. Then, a mapping approach based on QFD and association rule mining technique is proposed to solve the mapping problem. By doing this, product family improvement can be established on the CN, and utilize the historical transaction data adequately. Finally, the Apriori algorithm is applied to realize the mapping process, and a case study illustrates the proposed approach.
Analysis and Compensation on Static Error of Accelerometer in GFSINS
Authors: Yanling Hao, Zhiping Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In the Gyro Free Strapdown Inertial Navigation System (GFSINS), the precision of system is obviously affected by the static error of accelerometer because accelerometers are used instead of gyroscopes. Firstly, the static error model of accelerometer is built, and the effect of static error for angular velocity calculation in a nine-accelerometer configuration system is given. Then, the accelerometer is tested by single-axis equal position rolling method, and the static error is calibrated by using linear neural network which has simple network structure, rapid convergence speed and no part minimum value. Finally, the dynamic error of accelerometer for GFSINS is compensated. Simulation results show that the calibration error of static coefficients of accelerometer is less than 5% by the new method, and the calculation precision of angular velocity is effectively improved after error compensation.