ppxscal/embedding_network huggingface dataset:
Emergency related video streaming in VANET using network coding
Authors: Joon-Sang Park, Uichin Lee, Soon Y. Oh, Mario Gerla, Desmond S. Lun
Venue: Proceedings of the 3rd international workshop on Vehicular ad hoc networks (2006)

Multimedia (e.g., video) information exchange in VANET, if feasible, will help enhance vehicle navigation safety. We show that network coding allows very reliable and efficient data dissemination and thus is suitable for multimedia safety information dissemination. If the vehicle column has gaps, network coding jointly with "data muling" on vehicles in the opposite direction can deliver the multimedia files to disconnected components faster than other known schemes.
Cumulative Path Summary for Structurally Dynamic XML Documents
Authors: R. Gururaj, P. Sreenivasa Kumar
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

In XML filtering systems, if the structure is not known, user may input structurally invalid queries. The filtering system wastes its precious time in evaluating these invalid queries before it eventually finds that the queries are structurally invalid. In this paper we propose a technique to guide the user in formulating queries, which are more likely to succeed.
A template based static coalition protocol: a3P viGrid
Authors: Avinash Shankaranarayanan, Frank Dehne, Andrew Lewis
Venue: Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54 (2006)

Problems such as resource and service discovery models, load balancing and scheduling, brokering are eminent in grid systems due to bottlenecks such as bandwidth and network traffic in the underlying communication infrastructures and their associated costs in fabricating a scalable and cost effect grid services infrastructure. The primary goals of this paper is to apply grid based coalition formation concepts to agents: add efficient load balancing and scheduling (A3p viLoad Scheduler) schemes; provide a replacement solution to resource discovery models by applying application oriented directory services; minimize message passing of state information updates and economic brokering services to the agent aware adhoc p2p virtual interconnect grid computing system or A3p vigrid system.
Reliability and Performance of Component Based Software Systems with Restarts, Retries, Reboots and Repairs
Authors: Vibhu Saujanya Sharma, Kishor S. Trivedi
Venue: Proceedings of the 17th International Symposium on Software Reliability Engineering (2006)

High reliability and performance are vital for software systems handling diverse mission critical applications. Such software systems are usually component based and may possess multiple levels of fault recovery. A number of parameters, including the software architecture, behavior of individual components, underlying hardware, and the fault recovery measures, affect the behavior of such systems, and there is a need for an approach to study them. In this paper we present an integrated approach for modeling and analysis of component based systems with multiple levels of failures and fault recovery both at the software, as well as the hardware level. The approach is useful to analyze attributes such as overall reliability, performance, and machine availabilities for such systems, wherein failures may happen at the software components, the operating system, or at the hardware, and corresponding restarts, retries, reboots or repairs are used for mitigation. Our approach encompasses Markov chain, and queueing network modeling, for estimating system reliability, machine availabilities and performance. The approach is helpful for designing and building better systems and also while improving existing systems.
Using Rough Set and Fuzzy Method to Discover the Effects of Acid Rain on the Plant Growth
Authors: Jin-Cherng Lin, Kuo-Chiang Wu
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

Today many living and non-living systems become harmed and damaged as a result of acid rain. Similarly, acid rain also affects our local plantation and crop growing. This paper will apply rough set and fuzzy method to digging a little knowledge out from the raw data of acid rain. The theories in rough set can directly generalized knowledge form raw data by the methods of knowledge reduction. In other words, we can find out the production rule or decision rules by using the definition of the rough set; then, we apply an algorithm of fuzzy cover to draw some conclusions from the production rule of the effects of acid rain on the plant growth.
A comparative study of attribute weighting heuristics for effort estimation by analogy
Authors: Jingzhou Li, Guenther Ruhe
Venue: Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering (2006)

Five heuristics for attribute weighting in analogy-based effort estimation are evaluated in this paper. The baseline heuristic involves using all attributes with equal weights. We propose four additional heuristics that use rough set analysis for attribute weighting. These five heuristics are evaluated over five data sets related to software projects. Three of the data sets are publicly available, hence allowing comparison with other methods. The results indicate that three of the rough set analysis based heuristics perform better than the equal weights heuristic. This evaluation is based on an integrated measure of accuracy.
An Experience in Learning about Learning Composite Concepts
Authors: Chao-Lin Liu, Yu-Ting Wang
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Students need to integrate multiple basic concepts to become competent in the activities that require the knowledge of the composite concept. Traditionally, we rely on experts' judgments to build models for this integration process. In this paper, we explore computational methods for unveiling how students learn composite concepts, and compare effects of applying mutual information-based and hierarchical search-based techniques for guessing the unobservable processes, which were simulated by Bayesian networks. Experimental results show that computational methods can be useful in assisting this student modelling task.
Extraction of signals buried in noise part II: experimental results
Authors: Nourédine Yahya Bey
Venue: Signal Processing (2006)

In the second part of this series, we report application procedures and performances of "modified frequency extent denoising (MFED)" and "constant frequency extent denoising (CFED)". It is shown that MFED and CFED work independently of the nature of noise (colored or white, Gaussian or not) and locations of its spectral extent. Denoising is achieved without using a priori information on the signal and any sort of averaging in the time or frequency domain. Moreover, CFED depicts better white denoising performances than the modified periodogram method. Denoising ability of CFED applies with much better performances than bispectrum estimation and wavelet denoising when spectra of experimental random processes (Doppler velocimetry signals) and colored noise (Gaussian or not) superimposed to them, overlap. It is shown that CFED is a powerful denoising and analysis tool of buried random signals occurring in real world situations.
Hemispheric Encoding Asymmetry is More Apparent Than Real
Authors: Michael B. Miller, Alan Kingstone, Michael S. Gazzaniga
Venue: Journal of Cognitive Neuroscience (2002)

Previous neuroimaging studies have claimed a left hemisphere specialization for episodic ''encoding'' and a right hemisphere specialization for episodic ''retrieval.'' Yet studies of split-brain patients indicate relatively minor memory impairment after disconnection of the two hemispheres. This suggests that both hemispheres are capable of encoding and retrieval. In the present experiment, we examined the possible limits on encoding capacity of each hemisphere by manipulating the ''depth'' of processing during the encoding of unfamiliar faces and familiar words in the left and right hemispheres of two split-brain patients. Results showed that only the left hemisphere benefited from deeper (more elaborate) encoding of familiar words, and only the right hemisphere benefited from deeper encoding of unfamiliar faces. Our findings are consistent with the view that hemispheric asymmetries in episodic encoding are related to hemisphere-specific processing of particular stimuli. Convergent with recent neuroimaging studies, these results with split-brain patients also suggest that these hemispheric differences are not due to unique specializations in each half brain for encoding memories, but rather, are due to preferential recruitment of the synaptically closer prefrontal cortex to posterior regions processing material-specific information.
Adaptive decision support system (ADSS) for B2C e-commerce
Authors: Faisal Al-Qaed, Alistair Sutcliffe
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

This paper covers the research problem of supporting users' decision making in E-Commerce systems with complex choices, and design of an Adaptive Decision Support System (ADSS) which matches the appropriate tool support and decision strategy advice to the user's preferences and motivations. A preliminary requirements investigation will be described which used an adapted Wizard of Oz approach to test users' reaction to mock-ups of the ADSS with and without system advice. The requirements study tested users' reaction to the proposed tools and whether they were influenced by the system advice. This discussion will be followed by a description of the design and development of the ADSS and its architecture. The paper concludes with plans for future research.
Framework for Mobile Application Development and Content Integration
Authors: Orcun Mayuk, Torab Torabi
Venue: Proceedings of the Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education (2006)

Mobile applications can potentially become more valuable tools in the education field with flexible content integration into applications on user demand. In this paper while the main focus is 'Content Integration for Mobile Devices', we propose a framework for mobile application development problem:Modelling a flexible environment which conforms to Web Services and OpenGIS standards Integration of various services provided by different sources for educational wireless application development.On the fly device independent user interface development, configuration and deployment for these services while avoiding thick clients.Ability to add new services and functionalities on user demand. We present a scenario in this paper to demonstrate how the framework can be applied to learning and support education.
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Authors: Qifa Ke, Takeo Kanade
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L\infty-norm. Unlike L2-norm (sum of squared reprojection errors), the global minimum of L\infty-norm can be efficiently achieved by quasiconvex optimization. However, the maximum of reprojection errors is the meaningful measure to minimize only when the measurement noises are independent and identically distributed at every 2D feature point and in both directions in the image. This is rarely the case in real data, where the positional noise not only varies at different features, but also has strong directionality. In this paper, we incorporate the directional uncertainty model into a quasiconvex optimization framework, in which global minimum of meaningful errors can be efficiently achieved, and accurate geometric reconstructions can be obtained from feature points that contain high directional uncertainty.
Assembly line simulation for a rear suspension cradle
Authors: Charles Stuart
Venue: Proceedings of the 37th conference on Winter simulation (2005)

The manufacture of automotive frames and subframes is a complex undertaking, requiring many disparate components and subassemblies to be melded into a functional whole. The competitive environment in manufacturing in general, and the automotive industry in particular, require that both capital and labor be employed efficiently. The throughput constraint for the manufacturer is the assembly line. These lines are generally multi-station automated machines, built to purpose by outside suppliers. They usually consist of a mixture of automated and manual gas-metal arc welding fixtures, buffers, positioning fixtures, error-proofing fixtures, robots, and indexing equipment. This case study presents an analysis of a proposed assembly process for a product designated as the X cradle. Since the assembly line has not been deployed, an existing line was used as a surrogate to verify modeling assumptions, time to failure, and time to repair information. The objective of the analysis was to examine efficiencies and throughput for the proposed line. 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
Regularity Analysis Using Time Slot Counting in the Mobile Clickstream
Authors: Toshihiko Yamakami
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

The ever-changing nature of the mobile Internet contributes to the difficulties encountered in user behavior research. Regularity is an important aspect of the mobile Internet in research and marketing, because it end users easily lose their interest and leave the mobile web sites due to the limited visibility of the web. Maintaining user loyalty is a vital challenge for mobile webs. Therefore, the methods to identify loyalty transitions are important. The author proposes a regularity measure using click counting in the time slots. With the assumption that the users with regular access have more chances to continue to use the mobile webs, the author examines the monthly prediction of user behavior based on the user access regularity in the previous month. The author obtains approximate 80 % accuracy of prediction in the case study. The author discusses the limitation and implications of the comparison.
Singular Value Conjugation: An Approach for Computing Similarity Among Rectangular Images
Authors: V. Ortega-Gonzalez, A. Angeles-Yreta, J. Medina-Apodaca, V. Landassuri-Moreno, J. Figueroa-Nazuno
Venue: Proceedings of the 15th International Conference on Computing (2006)

In computer sciences, matrices are widely used for representing different kinds of information. Furthermore, measuring similarity among matrices is an interesting open problem. In this paper we introduce a new similarity measure among two data matrices of the same class; the idea is based on evaluating the effect of conjugating the singular values and singular vectors of one matrix with the other matrix, and vice versa. A brief analysis of Singular Value Conjugation (SV-Conjugation) is also included in order to extend the understanding of the concept. Finally, some experimental results are presented with the aim of exemplify the usefulness of SV-Conjugation as an approach for the problem of computing similarity among data matrices and also among images.
Exploring Intentional Modeling and Analysis for Enterprise Architecture
Authors: Eric Yu, Markus Strohmaier, Xiaoxue Deng
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

An enterprise architecture is intended to be a comprehensive blueprint describing the key components and relationships for an enterprise from strategies to business processes to information systems and technologies. Enterprise architectures have become essential for managing change in complex organizations. While "motivation" has been recognized since Zachman 0 as an important element of enterprise architecture, yet to date, most enterprise architecture modeling only deals with structure, function, and behaviour, neglecting the intentional dimension of motivations, rationales, and goals. The contribution at hand explores this challenge and aims to illustrate the potentials of intentional modeling in the context of enterprise architecture. After introducing two intentional modeling languages and their potential relation to an enterprise architecture construction process, we report on an explorative case study that aimed to investigate the practical implications of intentional modeling and analysis for enterprise architectures. Finally, we present key observations from interviews that were conducted with practitioners to obtain feedback regarding the material developed in the case study.
Use Case-Based Acceptance Testing of a Large Industrial System: Approach and Experience Report
Authors: Serguei Roubtsov, Petra Heck
Venue: Proceedings of the Testing: Academic & Industrial Conference on Practice And Research Techniques (2006)

The paper describes the preparation and execution of the site acceptance testing of a large scale industrial system. A use case based approach to testing is developed. The approach introduces three-level test artifact specifications. At the highest level test scenarios are used to validate system use cases. The lower levels are presented by test scripts and test cases, which unfold test scenarios into test procedures with corresponding test data. A proposed requirements traceability model joins all the test artifacts to each other and to the requirements allowing testers to maintain control over requirements coverage during the entire testing process. The paper also describes successful practical experience in application of the approach as well as our observations regarding usage of modern testing techniques and tools in industry.
Evaluating hospital pharmacy staffing and work scheduling using simulation
Authors: Charles W. Spry, Mark A. Lawley
Venue: Proceedings of the 37th conference on Winter simulation (2005)

With increasing healthcare costs, an aging population, and a shortage of trained personnel it is becoming increasingly important for hospital pharmacy management to make good operational decisions. In the case of hospital inpatient pharmacies, making decisions about staffing and work scheduling is difficult due to the complexity of the systems used and the variation in the orders to be filled. In order to help BroMenn Healthcare make decisions about staffing and work scheduling a simulation model was created to analyze the impact of alternate work schedules. The model estimates the effect of changes to staffing and work scheduling on the amount of time medication orders take to process. The goal is to use the simulation to help BroMenn find the best schedule to get medications to the patients as quickly as possible by using pharmacy staff effectively.
Binding Personal and Peripersonal Space: Evidence from Tactile Extinction
Authors: Sandeep Vaishnavi, Jesse Calhoun, Anjan Chatterjee
Venue: Journal of Cognitive Neuroscience (2001)

Behavioral and neurophysiological studies suggest that the brain constructs different representations of space. Among these representations are personal and peripersonal space. Personal space refers to the space occupied by our bodies. Peripersonal space refers to the space surrounding our bodies, which can be reached by our limbs. How these two representations are bound to give a unified sense of space in which humans act is not clear. We tested 10 patients with tactile extinction to investigate this issue. Tactile extinction is an attentional disorder in which patients are unaware of being touched on their contralesional limb if they are also touched simultaneously on their ipsilesional limb. We hypothesized that mechanisms that bind personal and peripersonal representations would improve these patients' awareness of being touched on their contralesional limbs. Visual-tactile integration and intentional movements were considered candidate mechanisms. Patients were more likely to be aware of contralesional touch when looking towards their contralesional limb than when looking towards their ipsilesional limb, and when actively moving on tactile probes than when receiving tactile stimuli passively. The improved awareness of being touched on the contralesional limb under these conditions suggests that cross-sensory and sensorimotor integration help bind personal and peripersonal space.
Lagrange interpolation by bivariate splines on cross-cut partitions
Authors: Chun-Gang Zhu, Ren-Hong Wang
Venue: Journal of Computational and Applied Mathematics (2006)

The piecewise algebraic curve is a generalization of the classical algebraic curve. In this paper, we give the Nöther-type theorem of piecewise algebraic curves on cross-cut partitions. By using interpolation along a piecewise algebraic curve, we also present a method to construct Lagrange interpolation sets for bivariate spline spaces on cross-cut partitions.
Design for Verification of the PCI-X Bus
Authors: Haja Moinudeen, Ali Habibi, Sofiene Tahar
Venue: Proceedings of the Formal Methods in Computer Aided Design (2006)

The importance of re-usable Intellectual Properties (IPs) cores is increasing due to the growing complexity of today's system-on-chip and the need for rapid prototyping. In this paper, we provide a design for verification approach of a PCI-X bus model, which is the fastest and latest extension of PCI technologies. We use two different modeling levels, namely UML and AsmL. We integrate the verification within the design phases where we use model checking and model based testing, respectively at the AsmL and SystemC levels. This case study presents an illustration of the integration of formal methods and simulations for the purpose of providing better verification results of SystemC IPs.
Image interpolation using BPLP method on the eigenspace
Authors: Toshiyuki Amano, Yukio Sato
Venue: Systems and Computers in Japan (2007)

In this paper the authors propose a method to use interpolation to eliminate characters in only one image with telops or other text through an image interpolation method that uses the eigenspace method. Background scenes and other images have a fractal character, and often the self-correlation in the image can be assumed to be high. The authors focus on this point and represent rules for describing the image based on an eigenspace consisting of only one image that has defects. The eigenspace generated in this manner reflects the features of the image, and by using this eigenspace, image interpolation can be achieved. Although this interpolation method does not restore the original image, the authors confirmed through experimental results that it can provide interpolation without a feeling of oddness for images which have a high level of self-correlation. &copy; 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 38(1): 87&ndash; 96, 2007; Published online in Wiley InterScience (). DOI 10.1002&sol;scj.10319.
Programmable phase locked loops for digital signal processors
Authors: G. A. Leonov, S. M. Seledzhi
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 2 (2003)

In systems of digital signal processors (array processors) the synchronization problems arise. In these systems the clock skew may be significant and may lead to the incorrect work of parallel algorithms. A clock skew can be eliminated by globally stable phase locked loops. Locally and globally stability of continuous and discrete phase locked loops for digital signal processors are considered. The parameters of period doubling bifurcations for discrete phase locked loop are obtained.