ppxscal/embedding_network huggingface dataset:
Garment-based body sensing using foam sensors
Authors: Lucy E. Dunne, Sarah Brady, Richard Tynan, Kim Lau, Barry Smyth, Dermot Diamond, G. M. P. O'Hare
Venue: Proceedings of the 7th Australasian User interface conference - Volume 50 (2006)

Wearable technology is omnipresent to the user. Thus, it has the potential to be significantly disruptive to the user's daily life. Context awareness and intuitive device interfaces can help to minimize this disruption, but only when the sensing technology itself is not physically intrusive: i.e., when the interface preserves the user's homeostatic comfort. This work evaluates a novel foam-based sensor for use in body-monitoring for context-aware and gestural interfaces. The sensor is particularly attractive for wearable interfaces due to its positive wearability characteristics (softness, pliability, washability), but less precise than other similar sensors. The sensor is applied in the garment-based monitoring of breathing, shoulder lift (shrug), and directional arm movement, and its accuracy is evaluated in each application. We find the foam technology most successful in detecting the presence of movement events using a single sensor, and less successful in measuring precise, relative movements from the coordinated responses of multiple sensors. The implications of these results are considered from a wearable computing perspective.
Grid Based Flood Prediction Virtual Organization
Authors: Ladislav Hluchy, Ondrej Habala, Martin Maliska, Branislav Simo, Viet Tran, Jan Astalos, Marian Babik
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

The topic of natural disaster management -- prediction, prevention, or minimization of their impact is an important topic for scientific research. The advances in computer simulation and highperformance computing in recent years have highly extended the possibilities in this field, and have changed the ways in which natural disaster management systems operate. This paper describes evolution of one such system -- a flood prediction application. The application consists of a set of simulation models, visualization tools, and various support components. During past six years it has evolved from a simple hydraulic modeling scenario into a sophisticated cascade of simulations, using state-of-the art grid, workflow and knowledge management technologies, and is one of the first applications of the SOKU [1]concept in the field of computer simulations.
The covariance structure and likelihood function for multivariate dyadic data
Authors: Heng Li
Venue: Journal of Multivariate Analysis (2006)

This paper extends the results in Li and Loken [A unified theory of statistical analysis and inference for variance component models for dyadic data, Statist. Sinica 12 (2002) 519-535] on the statistical analysis of measurements taken on dyads to the situations in which more than one attribute are measured on each dyad. Starting from the covariance structure for the univariate case obtained in Li and Loken (2002), the covariance structure for the multivariate case is derived based on the group symmetry induced by the assumed exchangeability in the units. Our primary objective is to document the Gaussian likelihood and the sufficient statistics for multivariate dyadic data in closed form, so that they can be referenced by researchers as they analyze those data. The derivation carried out can also serve as an example of multivariate extension of univariate models based on exchangeability.
Passwords and Passion
Authors: Warren Harrison
Venue: IEEE Software (2006)

A recent survey conducted by Sophos (www.sophos.com/pressoffice/news/articles/2006/04/passwordadvice.html) asked, "Do you use the same password for multiple Web sites?" Their admittedly unscientific results confirmed what most of us would expect: 41 percent of the respondents said they always use the same password, 45 percent said they have a few different passwords, and 14 percent said they never use the same password on multiple Web sites. Those 14 percent probably either don't have an Internet connection or are "security professionals." The problem is that where the "security professional" sees prudent, responsible behavior, users simply see overhead thatgets in the way of performing whatever task they're trying to do.
Visual Mapping of Text Collections through a Fast High Precision Projection Technique
Authors: Fernando Vieira Paulovich, Luis Gustavo Nonato, Rosane Minghim
Venue: Proceedings of the conference on Information Visualization (2006)

This paper introduces Least Square Projection (LSP), a fast technique for projection of multi-dimensional data onto lower dimensions developed and tested successfully in the context of creation of text maps based on their content. Current solutions are either based on computationally expensive dimension reduction with no proper guarantee of the outcome or on faster techniques that need some sort of post-processing for recovering information lost during the process. LSP is based on least square approximation, a technique originally employed for surface modeling and reconstruction. Least square approximations are capable of computing the coordinates of a set of projected points based on a reduced number of control points with defined geometry. We extend the concept for general data sets. In order to perform the projection, a small number of distance calculations is necessary and no repositioning of the final points is required to obtain a satisfactory precision of the final solution. Textual information is a typically difficult data type to handle, due to its intrinsic dimensionality. We employ document corpora as a benchmark to demonstrate the capabilities of the LSP to group and separate documents by their content with high precision.
Micro thermal design of swing arm type small form factor optical pick-up system
Authors: Jee-Na Lee, Hongmin Kim, Young-Joo Kim, Shinill Kang
Venue: Microsystem Technologies (2006)

New multimedia information environment requires smaller optical data storage systems. However, one of the difficulties in the design of small form factor (SFF) optical pick-up is to emit the heat which is usually generated from laser diode (LD). The generated heat may reduce the optical performance of the system as well as the lifetime of LD. Therefore, it is important to include the thermal consideration in the development of SFF optical pick-up system for the high performance and longer lifetime of LD. It is also necessary to analyze the thermal characteristics of LD by the micro heat transfer analysis. In this study, micro heat transfer analysis was performed using the finite element method for the 28&#x00a0;&#x00d7;&#x00a0;11&#x00a0;&#x00d7;&#x00a0;2&#x00a0;mm3 super slim swing-arm type actuator of the optical pick-up in the Blu-ray disk (BD) format. Two different materials were used for a swing-arm; a double layer structure of polycarbonate/steel and a single layer structure of aluminum. The heat generated from LD (80&#x00a0;&#x00d7;&#x00a0;400&#x00a0;&#x00d7;&#x00a0;600&#x00a0;&#x03bc;m3) ranges from 100 to 250&#x00a0;mW. The maximum temperature at the LD is 78.9&#x00b0;C for the case of polycarbonate/steel swing-arm optical pick-up when the heat generation and the convection coefficient are 250&#x00a0;mW and 25&#x00a0;W/m2&#x00a0;K, respectively. On the other hand, it is 52.87&#x00b0;C for the case of aluminum swing-arm under the same conditions. The result of simulation indicates that the single layer structure of aluminum actuator is more suitable for the for the SFF optical pick-up in the viewpoint of heat release.
RSAD: a robust distributed contention-based adaptive mechanism for IEEE 802.11 wireless LANs
Authors: Yong Peng, Shi-Duan Cheng, Jun-Liang Chen
Venue: Journal of Computer Science and Technology (2005)

Previous researches have shown that Distributed Coordination Function (DCF) access mode of IEEE 802.11 has lower performance in heavy contention environment. Based on the in-depth analysis of IEEE 802.11 DCF, NSAD (New Self-adapt DCF-based protocol) has been proposed to improve system saturation throughput in heavy contention condition. The initial contention window tuning algorithm of NSAD is proved effective in error-free environment. However, problems concerning the exchanging of initial contention window occur in error-prone environment. Based on the analysis of NSAD's performance in error-prone environment, RSAD is proposed to further enhance the performance. Simulation in a more real shadowing error-prone environment is done to compare the performance of NSAD and RSAD and results have shown that RSAD can achieve further performance improvement as expected in the error-prone environment than NSAD (i.e., better goodput and fairness index).
A framework for realistic and systematic multicast performance evaluation
Authors: Li Lao, Jun-Hong Cui, Mario Gerla
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2006)

Previous multicast research often makes commonly accepted but unverified assumptions on network topologies and group member distribution in simulation studies. In this paper, we propose a framework to systematically evaluate multicast performance for different protocols. We identify a series of metrics, and carry out extensive simulation studies on these metrics with different topological models and group member distributions for three case studies. Our simulation results indicate that realistic topology and group membership models are crucial to accurate multicast performance evaluation. These results can provide guidance for multicast researchers to perform realistic simulations, and facilitate the design and development of multicast protocols.
Cognitive Control Mechanisms Revealed by ERP and fMRI: Evidence from Repeated Task-Switching
Authors: R. Swainson, R. Cunnington, G. M. Jackson, C. Rorden, A. M. Peters, P. G. Morris, S. R. Jackson
Venue: Journal of Cognitive Neuroscience (2003)

We investigated the extent to which a common neural mechanism is involved in task set-switching and response withholding, factors that are frequently confounded in task-switching and go/no-go paradigms. Subjects' brain activity was measured using event-related electrical potentials (ERPs) and event-related functional MRI (fMRI) neuroimaging in separate studies using the same cognitive paradigm. Subjects made compatible left/right keypress responses to left/right arrow stimuli of 1000 msec duration; they switched every two trials between responding at stimulus onset (GO task&mdash;green arrows) and stimulus offset (WAIT task&mdash;red arrows). With-holding an immediate response (WAIT vs. GO) elicited an enhancement of the frontal N2 ERP and lateral PFC activation of the right hemisphere, both previously associated with the "no-go" response, but only on switch trials. Task-switching (switch vs. nonswitch) was associated with frontal N2 amplification and right hemisphere ventrolateral PFC activation, but only for the WAIT task. The anterior cingulate cortex (ACC) was the only brain region to be activated for both types of task switch, but this activation was located more rostrally for the WAIT than for the GO switch trials. We conclude that the frontal N2 ERP and lateral PFC activation are not markers for withholding an immediate response or switching tasks per se, but are associated with switching into a response-suppression mode. Different regions within the ACC may be involved in two processes integral to task-switching: processing response conflict (rostral ACC) and overcoming prior response suppression (caudal ACC).
Practical Lessons from Place Lab
Authors: Jeffrey Hightower, Anthony LaMarca, Ian E. Smith
Venue: IEEE Pervasive Computing (2006)

This article takes a retrospective look at Place Lab, an Intel Research project on location-enhanced mobile computing. A community of researchers and practitioners have used Place Lab's software. The authors survey their research results as well as share lessons learned from leading the project and deploying Place Lab in the real world. This article is part of a special issue on Real-World Deployments.
The School Timetabling Problem: A Focus on Elimination of Open Periods and Isolated Classes
Authors: Leonardo Aparecido Ciscon, Humberto Cesar Brandao de Oliveira, Michelle Cristina Alves Andrade, Guilherme Bastos Alvarenga, Ahmed Ali Abdalla Esmin
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

Genetic algorithms have successfully been used to solve real timetabling problems. Satisfactory solutions, focused on the elimination of open periods and isolated classes, allowed the "Escola Estadual Padre Rogério Abdala" to process automatization for 2004 and 2005 school terms consecutively. In this paper, a hybrid variation is proposed (memetic algorithm) in order to improve the algorithm robustness. The comparative analysis through statistical methods (t-test and confidence interval) indicates that hybridization increased the robustness and the quality of the results, presenting more appropriate solutions to that real problem.
A Primer on Computational Fields
Authors: Arturo Ortiz-Tapia
Venue: IEEE Distributed Systems Online (2006)

A review of Field-Based Coordination for Pervasive Multiagent Systems by Marco Mamei and Franco Zambonelli.
A Transparent Collaborative Integration Approach for Ad Hoc Product Data
Authors: Jingzhi Guo
Venue: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (2006)

Product data integration is an essential issue for many e-commerce interoperable business systems. Core to this issue is how to maintain semantic consistency between heterogeneous product data that are semantically different in structure, concept and context. To resolve the issue, this paper proposes a transparent collaborative integration approach, which is built on a layered framework of messaging, structure, concept and collaboration. The key to this framework is three collaboration engines, which resolves semantic consistency issues between millions of contextual vocabularies of SMEs.
A New Hybrid PDE Denoising Model Based on Markov Random Field
Authors: Ji-ying Wu, Qiu-qi Ruan
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Partial differential equation (PDE) and Markov random field are two kinds of texture preserving regularized image denoising models. In this paper, the equivalence of them is proved: PDE can be derived to have the form of Markov model. Total variation (TV) is a kind of PDE, the adjacent domain of it is first order. Based on Markov theory, the adjacent domain of TV is enlarged to second order and it can contain more image information; image processed by the new TV-Markov model has little staircasing. In the new model, different coefficient function has different edge preserving property, so the new model is hybrid. Using hybrid functions, the new TV-Markov model has better denoising effect, and it can preserve edge well.
Design of non-static controllers for plasma stabilization
Authors: E. I. Veremey, M. V. Korovkin
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

This paper examines the problem of control synthesis which takes into account constraints of current in the coils of poloidal system. The necessary condition for control synthesis consists of astaticism providing on controllable states, because reaching of constraints of current may be treated as new constant disturbance in mathematical model. According to this demand different ways of astaticism providing are examined. Some theorems are proved, giving basis for these methods. New structure of generalized astaticism providing controller is proposed. It uses observer of special type. It is shown that unlike traditional method, which uses integrals of controlled states, proposed methods do not worse the plasma stabilization performance objectives.
Common scene definition framework for constructing virtual worlds
Authors: Lee A. Belfore,  II, Prabhu. V. Krishnan, Emre Baydogan
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Developing VR applications is a challenging and rewarding endeavor, complicated by the variety and complexity of the available VR platforms. Furthermore, efficiencies realized in a specific platform may be lost if the application is migrated to a different platform. In this paper, we introduce and investigate the Common Scene Definition Framework (CSDF), a modeling representation consisting of a superset of capabilities taken from a collection of existing VR platforms. The purpose of CSDF is to serve a quick prototype framework for synthesizing an interactive virtual environment for a particular platform while attempting to optimize the translation to leverage strengths of the target platform. In an implementation independent fashion, the CSDF is envisioned to extensibly represent all geometry, appearance, interaction, and behavior for a VR application. Finally, an example is provided demonstration these basic ideas among the VRML 1.0, VRML97 and Java3D platforms.
Robust parameter tracking through regional forgetting
Authors: R. Shorten, A. Schutte, A. D. Fagan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

The recursive least squares (RLS) algorithm with exponential forgetting (/spl lambda/RLS) is perhaps the best known and most widely used algorithm for tracking the time varying parameters of a linear regression model. The implicit assumption in using the /spl lambda/RLS algorithm is that the information is uniformly distributed over the time horizon. Frequently this assumption does not hold and serious difficulties can be encountered when using many model structures. These include convergence of the parameters to local system or noise characteristics and output bursting, i.e. a large error when the operating point changes. In this paper several simple alternatives to the standard /spl lambda/RLS algorithm are proposed. The proposed algorithms extend the idea of a sliding window by quantising the whole input space. These algorithms considerably reduce the risk of forgetting useful information and eliminate the possibility of output bursting by relating the adaptation capabilities of the algorithm to the amount of input stimulation. Simulation results confirm the efficacy of our approach.
Enabled SIP-Based Multimedia Services with MPLS Technology in Ad Hoc Wireless Networks
Authors: Hong-Peng Wang, Tie-Jun Zhang, Xiao-Zong Yang
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

The next generation communication system will provide high quality multimedia service in a more flexible and intelligent manner. As the extension of next generation network's last one mile, multi-hop wireless ad hoc networks have attracted more research attention. In terms of the limited bandwidth, flexible mobility, the deployment of infrastructure-less, ad hoc networks are suffering from the lack of supporting real-time multimedia service in despite of active research over a decade. In this paper, we proposed a method, which replanted SIP and MPLS technology to wireless ad hoc networks. In the paper, we focus on three problems: SIP services discovery in ad hoc networks, SIP message routing, and label distributing. Simulation shows that our approach performed better in wireless ad hoc networks.
Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study
Authors: Illhoi Yoo, Xiaohua Hu
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the clustering quality for MEDLINE articles. For this investigation, we perform a comprehensive comparison study of various document clustering approaches such as hierarchical clustering methods (single-link, complete-link, and complete link), Bisecting K-means, K-means, and Suffix Tree Clustering (STC) in terms of efficiency, effectiveness, and scalability. According to our experiment results, biomedical ontology MeSH significantly enhances clustering quality on biomedical documents. In addition, our results show that decent document clustering approaches, such as Bisecting Kmeans, K-means and STC, gains some benefit from MeSH ontology while hierarchical algorithms showing the poorest clustering quality do not reap the benefit of MeSH ontology.
Parallel numerical algorithms based on tensor notation and co-array Fortran syntax
Authors: Robert W. Numrich
Venue: Parallel Computing (2005)

Co-Array Fortran represents a correspondence between tensor notation and an extended Fortran array syntax. It uses normal Fortran array indices to point to data in local memory and adds co-array indices to point to data in remote memory. By writing algorithms according to the rules of tensor algebra, the programmer can transcribe a parallel algorithm directly into co-array syntax and can experiment with alternative communication patterns with full confidence that the algorithm is correct. Data communication is transparent in the notation itself and the syntax allows compilers to exploit low-latency hardware so that application codes scale well to large numbers of processors. Co-array syntax, combined with the object-oriented features of Fortran 90, is a powerful tool for designing and writing parallel algorithms. It raises the level of abstraction with little or no loss of performance.
Videos in space: a study on presence in video mediating communication systems
Authors: Aimèe Hills, Jörg Hauber, Holger Regenbrecht
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

We present a comparative study on different videoconferencing interfaces. Our results show that the sense of Social Presence and Spatial Presence are significantly higher when videos of different people are put into the spatial context of a Shared Virtual Environment (SVE). Further results are discussed.
XPSuite: tracking and managing XP projects in the IDE
Authors: M. Angioni, D. Carboni, M. Melis, S. Pinna, R. Sanna, A. Soro
Venue: Proceedings of the 2004 workshop on Quantitative techniques for software agile process (2004)

In this paper we describe XPSuite, a tool comprising two parts: XPSwiki, a tool for managing XP projects and XP4IDE, a plug-in for integrating XPSwiki with the IDE IntelliJ-Idea. The reasons for this integration and the ability of XPSuite to collect process metrics are described. The system has a full object oriented implementation so it is possible to extract all data represented in the model that the system implements.
Facial Expression Recognition for E-learning Systems using Gabor Wavelet & Neural Network
Authors: May-Ping Loh, Ya-Ping Wong, Chee-Onn Wong
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

In this paper, we present our initial studies and results obtained on e-learning facial expression recognition using Gabor Wavelet for facial feature extraction, and Back-propagation Neural Network for expression classification. An eFEC database that consists of 600 facial expression images is built for our research. We also provide reasons on why we need to build our own database instead of customizing and use current available expressions database, and what are the differences between eFEC databases compared with others. You may find comparisons in various experiment results presented. We believe the information would be very useful as to provide guideline and direction on how to improve the system performance and make it applicable in real-life elearning environments. (Abbreviation: eFEC --learning Facial Expression Classification; cca - correct classification in average)