ppxscal/embedding_network huggingface dataset:
Packing circles and spheres on surfaces
Authors: Alexander Schiftner, Mathias Höbinger, Johannes Wallner, Helmut Pottmann
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

Inspired by freeform designs in architecture which involve circles and spheres, we introduce a new kind of triangle mesh whose faces' incircles form a packing. As it turns out, such meshes have a rich geometry and allow us to cover surfaces with circle patterns, sphere packings, approximate circle packings, hexagonal meshes which carry a torsion-free support structure, hybrid tri-hex meshes, and others. We show how triangle meshes can be optimized so as to have the incircle packing property. We explain their relation to conformal geometry and implications on solvability of optimization. The examples we give confirm that this kind of meshes is a rich source of geometric structures relevant to architectural geometry.
Neurocognitive Workload Assessment Using the Virtual Reality Cognitive Performance Assessment Test
Authors: Thomas D. Parsons, Louise Cosand, Christopher Courtney, Arvind Iyer, Albert A. Rizzo
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

The traditional approach to assessing neurocognitive performance makes use of paper and pencil neuropsychological assessments. This received approach has been criticized as limited in the area of ecological validity. While virtual reality environments provide increased ecological validity, they are often done without taking seriously the demands of rigorous research design and control for potentially confounding variables. The newly developed Virtual Reality Cognitive Performance Assessment Test (VRCPAT) focuses upon enhanced ecological validity using virtual environment scenarios to assess neurocognitive processing. After an assessment for potential confounds (i.e. appropriate level of immersion and performance on neuropsychological measures), the VRCPAT battery's Attention Module (i.e. Humvee scenario) was administered to a sample of healthy adults. Findings suggest that increase in stimulus complexity and stimulus intensity can manipulate attention performance within the Attention Module.
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis
Authors: Zhihua Zhang, Guang Dai, Michael I. Jordan
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

Fisher linear discriminant analysis (LDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classification jointly. While widely deployed in practical problems, there are still unresolved issues surrounding their efficient implementation and their relationship with least mean squared error procedures. In this paper we address these issues within the framework of regularized estimation. Our approach leads to a flexible and efficient implementation of LDA as well as KDA. We also uncover a general relationship between regularized discriminant analysis and ridge regression. This relationship yields variations on conventional LDA based on the pseudoinverse and a direct equivalence to an ordinary least squares estimator. Experimental results on a collection of benchmark data sets demonstrate the effectiveness of our approach.
A Cluster-Based Framework for the Security of Medical Sensor Environments
Authors: Eleni Klaoudatou, Elisavet Konstantinou, Georgios Kambourakis, Stefanos Gritzalis
Venue: Proceedings of the 6th International Conference on Trust, Privacy and Security in Digital Business (2009)

The adoption of Wireless Sensor Networks (WSNs) in the healthcare sector poses many security issues, mainly because medical information is considered particularly sensitive. The security mechanisms employed are expected to be more efficient in terms of energy consumption and scalability in order to cope with the constrained capabilities of WSNs and patients' mobility. Towards this goal, cluster-based medical WSNs can substantially improve efficiency and scalability. In this context, we have proposed a general framework for cluster-based medical environments on top of which security mechanisms can rely. This framework fully covers the varying needs of both in-hospital environments and environments formed ad hoc for medical emergencies. In this paper, we further elaborate on the security of our proposed solution. We specifically focus on key establishment mechanisms and investigate the group key agreement protocols that can best fit in our framework.
Effects of Climate Change on Soil Moisture over China from 1960-2006
Authors: Qiuan Zhu, Hong Jiang, Jinxun Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Soil moisture is an important variable in the climate system and it has sensitive impact on the global climate. Obviously it is one of essential components in the climate change study. The Integrated Biosphere Simulator (IBIS) is used to evaluate the spatial and temporal patterns of soil moisture across China under the climate change conditions for the period 1960–2006. Results show that the model performed better in warm season than in cold season. Mean errors (ME) are within 10% for all the months and root mean squared errors (RMSE) are within 10% except winter season. The model captured the spatial variability higher than 50% in warm seasons. Trend analysis based on the Mann-Kendall method indicated that soil moisture in most area of China is decreased especially in the northern China. The areas with significant increasing trends in soil moisture mainly locate at northwestern China and small areas in southeastern China and eastern Tibet plateau.
Path Planning Based on Bézier Curve for Autonomous Ground Vehicles
Authors: Ji-wung Choi, Renwick Curry, Gabriel Elkaim
Venue: Proceedings of the Advances in Electrical and Electronics Engineering - IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 (2008)

In this paper we present two path planning algorithms based on Bezier curves for autonomous vehicles with waypoints and corridor constraints. Bezier curves have useful properties for the path generation problem. The paper describes how the algorithms apply these properties to generate the reference trajectory for vehicles to satisfy the path constraints. Both algorithms join cubic Bezier curve segments smoothly to generate the path. Additionally, we discuss the constrained optimization problem that optimizes the resulting path for a user-defined cost function. The simulation shows the generation of successful routes for autonomous vehicles using these algorithms as well as control results for a simple kinematic vehicle. Extensions of these algorithms towards navigating through an unstructured environment with limited sensor range are discussed.
Elliptic Interpolation of Multi-arc Fitting and Adaptive Algorithm
Authors: Ming Gan, Guiqing Lin, Zhengping Yuan
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The paper analyses the characteristics of fitting elliptical arc and introduces its calculation method of node coordinates in multi-arc fitting on ellipse curve as well as its fitting error discriminant. It gives specific fitting algorithm flow chart. The examples of processing and analysis are given to showed that many of the elliptical arc adaptive interpolation fitting and can save a lot of memory, achieve high-precision and real-time elliptic interpolation. It is a very practical approach.
Estimation of User Interest from Face Approaches Captured by Webcam
Authors: Kumiko Fujisawa, Kenro Aihara
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

We propose a methodology for estimating a user's interest in documents displayed on a computer screen from his or her physical actions. Some studies show that physical actions captured by a device can be indicators of a user's interest. We introduce the ongoing pilot study's results, which show the possible relationship between a user's face approaching the screen, as captured by a webcam, and their interest in the document on the screen. Our system uses a common user-friendly device. We evaluate our prototype system from the viewpoint of presuming an interest from such a face approach and the practicality of the system, and discuss the future possibilities of our research.
Analytical Method of Gasket Stress on Bolted Flanged Connections in Consideration of External Bending Moments and Elements Creep
Authors: Lin Liu, Boqin Gu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Bolted flanged connections are commonly used in industrial equipment and piping system. In this paper, the deformation compatibility equation of bolted flanged connections was established, in which the external bending moments acting on the connections and the creep of bolts, flanges and gasket were taken into consideration. An analytical method for calculating the gasket residual stress was proposed. A typical gasket joint was analyzed, and gasket residual stress distribution along the axial and circumferential direction was obtained. The stress calculated by the presented analytical method was compared with that obtained by the existing methods, and the former is relatively smaller than the latter. The gasket residual stress distributes unevenly both along the axial and circumferential direction, it increases from gasket tensile side to compress side, and the stress in gasket compress side is much larger than that in tensile side because of the effect of external bending moments.
Augmenting disjunctive temporal problems with finite-domain constraints
Authors: Michael D. Moffitt, Bart Peintner, Martha E. Pollack
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 3 (2005)

We present a general framework for augmenting instances of the Disjunctive Temporal Problem (DTP) with finite-domain constraints. In this new formalism, the bounds of the temporal constraints become conditional on the finite-domain assignment. This hybridization makes it possible to reason simultaneously about temporal relationships between events as well as their nontemporal properties. We provide a special case of this hybridization that allows reasoning about a limited form of spatial constraints; namely, the travel time induced by the locations of a set of activities. We develop a least-commitment algorithm for efficiently finding solutions to this combined constraint system and provide empirical results demonstrating the effectiveness of our approach.
Learning Preferences with Hidden Common Cause Relations
Authors: Kristian Kersting, Zhao Xu
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic inference. For many entities encountered in real-world applications, however, there are complex relations between them. In this paper, we present a preference model which incorporates information on relations among entities. Specifically, we propose a probabilistic relational kernel model for preference learning based on Silva et al.'s mixed graph Gaussian processes: a new prior distribution, enhanced with relational graph kernels, is proposed to capture the correlations between preferences. Empirical analysis on the LETOR datasets demonstrates that relational information can improve the performance of preference learning.
Real-Time Estimation Method of the Number of Pedestrians in Video Sequences
Authors: Sayaka Kuriyama, Go Hasegawa, Hirotaka Nakano
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

In a ubiquitous network society, information on mobile nodes such as pedestrians with cell phones in a target region is useful for network configuration, communication control, and so on. In this paper, we propose a novel method to estimate in real time the number of pedestrians in video sequences using a stationary camera. The proposed method extracts moving regions from video frame grabs using background difference and frame difference, and estimates the number of pedestrians based on the size of the moving region using a conversion function constructed based on prior learning. We evaluate the effectiveness of the proposed method by comparing the estimated values with the actual values, and show that the estimation error of the number of pedestrians is smaller than 0.1 in approximately 50% of frames, and that the mean absolute error is 0.37.
ASSIST: automated semantic assistance for translators
Authors: Serge Sharoff, Bogdan Babych, Paul Rayson, Olga Mudraya, Scott Piao
Venue: Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations (2006)

The problem we address in this paper is that of providing contextual examples of translation equivalents for words from the general lexicon using comparable corpora and semantic annotation that is uniform for the source and target languages. For a sentence, phrase or a query expression in the source language the tool detects the semantic type of the situation in question and gives examples of similar contexts from the target language corpus.
Analysis of Data Dependency Based Intrusion Detection System
Authors: Yermek Nugmanov, Brajendra Panda, Yi Hu
Venue: Proceedings of the 23rd Annual IFIP WG 11.3 Working Conference on Data and Applications Security XXIII (2009)

This research focuses on analyzing the cost effectiveness of a database intrusion detection system that uses dependencies among data items to detect malicious transactions. The model suggested in this paper considers three main factors: the quality of intrusion detection, the probability of intrusion, and the cost structure of an organization whose data is protected by the intrusion detection system. We developed a step by step approach that helps in determining the optimal configuration expressed by the response strategy and the threshold value. The experimental results show that our model is capable of finding the optimal configuration while taking the cost structure of an organization into consideration.
Evaluating a Dependable Sharable Atomic Data Service on a Planetary-Scale Network
Authors: Chryssis Georgiou, Nicolas Hadjiprocopiou, Peter M. Musial
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

Practical implementations of atomically consistent read/write memory service are important building blocks for higher level applications. This is especially true when data accessibility and survivability are provided by a distributed platform consisting of networked nodes, where both nodes and connections are subject to failure. This work presents an experimental evaluation of the practicality of an atomic memory service implementation, called RA M B O , which is the first to support multiple reader, multiple writer access to the atomic data with an integrated reconfiguration protocol to replace the underlying set of replicas without any interruption of the ongoing operations. Theoretical guarantees of this service are well understood; however, only rudimentary analytical performance along with limited LAN testing were performed on the implementation of RA M B O --- neither representing any realistic deployment setting. In order to assess true practicality of the RA M B O service, we devised a series of experiments tested on PlanetLab --- a planetary-scale research WAN network. Our experiments show that RA M B O 's performance is reasonable (under the tested scenarios) and under the somewhat extreme conditions of PlanetLab. This demonstrates the feasibility of developing dependable reconfigurable sharable data services with provable consistency guarantees on unreliable distributed systems.
Emotion sharing via self-composed melodies on mobile phones
Authors: Alireza Sahami Shirazi, Florian Alt, Albrecht Schmidt, Ari-Heikki Sarjanoja, Lotta Hynninen, Jonna Häkkilä, Paul Holleis
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

In their role as personal communication devices, mobile phones are a natural choice for sharing and communicating emotions. However, their functionalities are currently very limited in power to express affective messages. In this paper, we describe the design of a system that allows users to easily compose melodies and share them via mobile phones. We show that by using these melodies information about the current emotional state of the sender can be expressed and recognized synchronously by the receiver in a simple, quick, and unobtrusive way. Further, we reveal that self-composed melodies have a stronger impact than pre-composed or downloaded messages, similar to crafted pieces of art offered to a beloved person. We then present findings from a user study that assesses the implementation of a functional prototype and the adequacy of the system for emotional communication.
Comprehensive Evaluation Model of Real Estate Investment Based on Gray System Theory
Authors: Zhou Shujing, Gao Tianbao, Wu Chao
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In the multi-objective evaluation process for real estate investment, because of the uncertainty and incompleteness of evaluation information, deciding its gray. Therefore, the gray comprehensive evaluation based on gray system theory has feasibility. In this paper, we establish the gray comprehensive evaluation model of real estate investment according to the impact of real estate investment with hierarchy, by using multi-level gray theory. The example verifies that the model has practicality, effectiveness and objective rationality.
Any time, complete algorithm for finding utilitarian optimal solutions to STPPs
Authors: Bart Peintner, Martha E. Pollack
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

We present a simple greedy algorithm and a novel complete algorithm for finding utilitarian optimal solutions to Simple Temporal Problems with Preferences. Unlike previous algorithms, ours does not restrict preference functions to be convex. We present experimental results showing that (1) a single iteration of the greedy algorithm produces high-quality solutions, (2) multiple iterations, bounded by the square of the number of constraints, produce near-optimal solutions, and (3) our complete, memory-boundable algorithm has compelling anylime properties and outperforms a branch-and-bound algorithm.
A DHTs-Based Mapping System for Identifier and Locator Separation Network
Authors: Shi Liu, Jun Bi, Yangyang Wang
Venue: Proceedings of the 2009 First International Conference on Advances in Future Internet (2009)

Today's Internet is facing routing scalability issues, which could degrade network performance seriously. To solve that, several solutions are currently being discussed. Among them, one promising approach is to set up a new architecture which separates the locator and the identifier roles of current IP addresses. A key question for the solution is how to provide an efficient and reliable service for mapping the identifiers to the locators in the new architecture. We propose a mapping system design based on Distributed Hash Tables (DHTs).
3D Reconstruction from Multi-view Point Cloud Based on Particle System
Authors: Wenqiang Hu, Yi Qu
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Reconstructing accurate 3D object shapes from multi-view sampling points is one of the most challenging tasks to the scientists and engineers in reverse engineering. Aiming to this question, a merging and reconstructing algorithm based on particle system is presented for 3D topology reconstruction from multi-view point cloud in this paper. First one initial meshes of each point cloud in one view is formed using the delaunay algorithm. Then an asymptotic performance is accomplished to deflate initial mesh towards the local concave boundary. Based on Newtonian law of motion and particle system, a physical constraint model of coupled particle systems is constructed, so new points are found and extracted and added into the initial mesh step by step, thus the initial mesh is shrank. At last several meshes are emerged into one mesh. In this paper, an experimental result is afforded and proves the usefulness of this method for reconstruction.
A lock-free, concurrent, and incremental stack scanning mechanism for garbage collectors
Authors: Gabriel Kliot, Erez Petrank, Bjarne Steensgaard
Venue: ACM SIGOPS Operating Systems Review (2009)

Two major efficiency parameters for garbage collectors are the throughput overheads and the pause times that they introduce. Highly responsive systems need to use collectors with as short as possible pause times. Pause times have decreased significantly over the years, especially through the use of concurrent garbage collectors. For modern concurrent collectors, the longest pause is typically created by the need to atomically scan the runtime stack. All practical concurrent collectors that we are aware of must obtain a snapshot of the pointers on each thread's runtime stack, in order to reclaim objects correctly. To further reduce the duration of the collector pauses, incremental stack scans were proposed. However, previous such methods employ locks to stop the mutator from accessing a stack frame while it is being scanned. Thus, these methods introduce potentially long and unpredictable pauses for a mutator thread. In this work we propose the first concurrent, incremental, and lock-free stack scanning mechanism for garbage collectors, that allows high responsiveness and support for programs that employ fine-grain synchronization to avoid locks. Our solution can be employed by all concurrent collectors that we are aware of, it is lock-free, it imposes a negligible overhead on the program execution, and it supports intra-stack references as found in languages like C#.
Application of EOS/MODIS-NDVI at Different Time Sequences on Monitoring Winter Wheat Acreage in Henan Province
Authors: Hongbo Qiao, Dengfa Cheng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Calculation of winter wheat acreage in Henan Province using EOS/MODIS-NDVI data at different time sequences. [Method] After process of EOS/MODIS images, geographical adjustment, wave band combination, normal difference vegetation index (NDVI) was obtained. Based on the wide spectrum measurement, the processed data were supervisedly classified, thus the acreage of winter wheat in Henan Province in 2005 was acquired. [Result] Total 92208 pixels were observed for the winter wheat in Henan Province, and the plantation acreage was 5760 thousand hm2. Compared with the data from statistical department, the error of this method was about 9.66%. The method introduced in the present study could be applied in monitoring winter wheat acreage.