ppxscal/embedding_network huggingface dataset:
Frequency of Usage and Feelings of Connectedness in Instant Messaging by Age, Sex, and Civil Status
Authors: Michael E. Stiso
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

A questionnaire was administered to determine (1) the frequency with which participants use various IM features, and (2) whether and to whom they feel more connected as a result of IM usage. Younger participants IMed more frequently than older ones, and males and younger participants were the more frequent users of the more esoteric IM activities, particularly video sharing and video chatting. Singles 25-34 were most likely to report feeling increased connections overall to people via IM. The youngest and the single ones were much more likely to feel a greater connectedness with friends than with family. In the later 20s, that focus on friends shifts to family and coworkers, resulting in relatively equivalent percentages reporting greater connectedness with each of the three categories. The suggestion is that younger, single people are using IM to fulfill a need for social interaction that would be otherwise difficult to meet.
Realistic Elbow Flesh Deformation Based on Anthropometrical Data for Ergonomics Modeling
Authors: Setia Hermawati, Russell Marshall
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The human model for ergonomic simulation has improved in terms of its reliability and appearance and yet there seems to be less attention paid to create a realistic and accurate flesh deformation around the joint. This study, a part of ongoing research, proposes a combination of manual and automatic (3D body scanner) measurements to create a database for flesh deformation prediction i.e. flesh deformation area and cross section changes, around the elbow joint. The database consists of two race groups i.e., Caucasian and Asian (23 subjects, 11 males and 12 females), which were carefully chosen to represent a variety of height and body type. The prediction results for both flesh deformation area and cross section changes are discussed as well as their relevance for the next stage of the study.
HILAS: Human Interaction in the Lifecycle of Aviation Systems --- Collaboration, Innovation and Learning
Authors: David Jacobson, Nick Mcdonald, Bernard Musyck
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

The aims of the paper are to describe a particular network in the European aviation sector, to explain what is innovative about this network and to describe ways in which the network may evolve in the future. The paper describes the current state of the literature on human factors in aviation and shows how HILAS partners collaborate to innovate in the field of human factors. The paper highlights to what extent the HILAS partnership is novel, and wherein specifically lies that novelty. The network is sectoral rather than locational. It is an inter-organisational, cross-national, intra-sectoral, virtual cluster of actors, brought together for the purpose of a particular innovative project. The paper is about both the network and the nature of its innovation.
Evolutionary multiobjective optimization using an outranking-based dominance generalization
Authors: Eduardo Fernandez, Edy Lopez, Sergio Bernal, Carlos A. Coello Coello, Jorge Navarro
Venue: Computers and Operations Research (2010)

One aspect that is often disregarded in the current research on evolutionary multiobjective optimization is the fact that the solution of a multiobjective optimization problem involves not only the search itself, but also a decision making process. Most current approaches concentrate on adapting an evolutionary algorithm to generate the Pareto frontier. In this work, we present a new idea to incorporate preferences into a multi-objective evolutionary algorithm (MOEA). We introduce a binary fuzzy preference relation that expresses the degree of truth of the predicate ''x is at least as good as y''. On this basis, a strict preference relation with a reasonably high degree of credibility can be established on any population. An alternative x is not strictly outranked if and only if there does not exist an alternative y which is strictly preferred to x. It is easy to prove that the best solution is not strictly outranked. For validating our proposed approach, we used the non-dominated sorting genetic algorithm II (NSGA-II), but replacing Pareto dominance by the above non-outranked concept. So, we search for the non-strictly outranked frontier that is a subset of the Pareto frontier. In several instances of a nine-objective knapsack problem our proposal clearly outperforms the standard NSGA-II, achieving non-outranked solutions which are in an obviously privileged zone of the Pareto frontier.
Parallel Dynamic Data Driven Genetic Algorithm for Forest Fire Prediction
Authors: Mónica Denham, Ana Cortés, Tomás Margalef
Venue: Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2009)

Forest fire simulators are a very useful tool for predicting fire behavior. A forest fire simulator needs to be fed with data related to the environment where fire occurs: terrain main features, weather conditions, fuel type, fuel load and fuel moistures, wind conditions, etc. However, it is very difficult to obtain the real values of these parameters during a disaster [1]. The lack of accuracy of the input parameter values adds uncertainty to any prediction method and it usually provokes low quality simulations.
Private Intersection of Certified Sets
Authors: Jan Camenisch, Gregory M. Zaverucha
Venue: Financial Cryptography and Data Security: 13th International Conference, FC 2009, Accra Beach, Barbados, February 23-26, 2009. Revised Selected Papers (2009)

This paper introduces certified sets to the private set intersection problem. A private set intersection protocol allows Alice and Bob to jointly compute the set intersection function without revealing their input sets. Since the inputs are private, malicious participants may choose their sets arbitrarily and may use this flexibility to affect the result or learn more about the input of an honest participant. With certified sets, a trusted party ensures the inputs are valid and binds them to each participant. The strength of the malicious model with certified inputs increases the applicability of private set intersection to real world problems. With respect to efficiency the new certified set intersection protocol improves existing malicious model private set intersection protocols by a constant factor.
Error estimates for Gaussian quadratures of analytic functions
Authors: Gradimir V. Milovanović, Miodrag M. Spalević, Miroslav S. Pranić
Venue: Journal of Computational and Applied Mathematics (2009)

For analytic functions the remainder term of Gaussian quadrature formula and its Kronrod extension can be represented as a contour integral with a complex kernel. We study these kernels on elliptic contours with foci at the points +/-1 and the sum of semi-axes @r>1 for the Chebyshev weight functions of the first, second and third kind, and derive representation of their difference. Using this representation and following Kronrod's method of obtaining a practical error estimate in numerical integration, we derive new error estimates for Gaussian quadratures.
Operator splitting methods for pricing American options under stochastic volatility
Authors: Samuli Ikonen, Jari Toivanen
Venue: Numerische Mathematik (2009)

We consider the numerical pricing of American options under Heston&#x2019;s stochastic volatility model. The price is given by a linear complementarity problem with a two-dimensional parabolic partial differential operator. We propose operator splitting methods for performing time stepping after a finite difference space discretization. The idea is to decouple the treatment of the early exercise constraint and the solution of the system of linear equations into separate fractional time steps. With this approach an efficient numerical method can be chosen for solving the system of linear equations in the first fractional step before making a simple update to satisfy the early exercise constraint. Our analysis suggests that the Crank&#x2013;Nicolson method and the operator splitting method based on it have the same asymptotic order of accuracy. The numerical experiments show that the operator splitting methods have comparable discretization errors. They also demonstrate the efficiency of the operator splitting methods when a multigrid method is used for solving the systems of linear equations.
Look who is talking: soundbite speaker name recognition in broadcast news speech
Authors: Feifan Liu, Yang Liu
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

Speaker name recognition plays an important role in many spoken language applications, such as rich transcription, information extraction, question answering, and opinion mining. In this paper, we developed an SVM-based classification framework to determine the speaker names for those included speech segments in broadcast news speech, called soundbites. We evaluated a variety of features with different feature selection strategies. Experiments on Mandarin broadcast news speech show that using our proposed approach, the soundbite speaker name recognition (SSNR) accuracy is 68.9% on our blind test set, an absolute 10% improvement compared to a baseline system, which chooses the person name closest to the soundbite.
The Gliding Nail (GN). A Universal Implant for Immediate Weight Bearing Restauration in all Per- and Subtrochanteric Femur Fractures. Evaluation of 501 Patients
Authors: Friedl W., Hilsenbeck Fl., Stürzenhofecker Ph.
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

Clinical problem: the cut out is one of the major and most severe complications in the management of trochanteric and subtrochanteric fractures in elderly patients due to osteoporosis. In experimental examinations we found a significant decrease of the cut through and out of the I beam profile femur neck component of the GN as compared to a single or double screw fixation. The main purpose of this study was therefore to analyse if it is possible to minimise the risk of implant related complications by using the GN osteosynthesis in all per- and subtrochanteric fractures
A New Approach to Point Membership Classification in B-rep Solids
Authors: F. Klein
Venue: Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII (2009)

A fundamental problem in computational geometry is determining whether a point is inside a B-rep solid. Methods currently used for such point classification are unreliable or inefficient or both. A new approach is illustrated by showing how a simple method for loops of planar curves represented by B-splines can be extended from two dimensions to three. The plan in two dimensions is to construct a polygon so that the point will be inside the loop if and only if it is inside the polygon. Once such a polygon is found, it is easy to compute its winding number with respect to the point. In three dimensions, an analogous (although more complicated) method is robust and efficient. 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
The Implementation of CRM in City Commercial Banks
Authors: Wang Xiaohui, Zhang Yong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Starting from the present theory of CRM and bonding city commercial banks' own features, this article discusses the application steps of CRM in city commercial banks. With the reference to the implementing process of information technology, this article puts forward the implementation scheme of CRM in city commercial banks can be divided into nine basic composing steps.
Dynamic Event-Based Runtime Monitoring of Real-Time and Contextual Properties
Authors: Christian Colombo, Gordon J. Pace, Gerardo Schneider
Venue: Formal Methods for Industrial Critical Systems: 13th International Workshop, FMICS 2008, L'Aquila, Italy, September 15-16, 2008, Revised Selected Papers (2009)

Given the intractability of exhaustively verifying software, the use of runtime-verification, to verify single execution paths at runtime, is becoming popular. Although the use of runtime verification is increasing in industrial settings, various challenges still are to be faced to enable it to spread further. We present dynamic communicating automata with timers and events to describe properties of systems, implemented in Larva, an event-based runtime verification tool for monitoring temporal and contextual properties of Java programs. The combination of timers with dynamic automata enables the straightforward expression of various properties, including replication of properties, as illustrated in the use of Larva for the runtime monitoring of a real life case study -- an online transaction system for credit card. The features of Larva are also benchmarked and compared to a number of other runtime verification tools, to assess their respective strengths in property expressivity and overheads induced through monitoring.
A Wireless Actuator-Sensor Neural Network for Evacuation Routing
Authors: A. Jankowska, M. C. Schut, N. Ferreira-Schut
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

A wireless sensor-actuator network is formed by nodes capable of sensing and acting upon its environment. Typical challenges in designing such networks include distributed signal processing, synchronisation and communication, as well as deployment of network nodes and scalable architectures for these networks. In this paper, we look at the application of neural networks to individual nodes in a wireless network, which result in a wireless sensor-actuator neural network model. We explain how the combination of sensor network and neural network technology can describe a system which maintains desired characteristics such as scalability and adaptability. We show further that such model can be successfully applied to an evacuation routing scenario.
Automatic Content Creation for Games to Train Students Distinguishing Similar Chinese Characters
Authors: Kwong-Hung Lai, Howard Leung, Jeff K. Tang
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

In learning Chinese, many students often have the problem of mixing up similar characters. This can cause misunderstanding and miscommunication in daily life. It is thus important for students learning the Chinese language to be able to distinguish similar characters and understand their proper usage. In this paper, we propose a game style framework in which the game content in identifying similar Chinese characters in idioms and words is created automatically. Our prior work on analyzing students' Chinese handwriting can be applied in the similarity measure of Chinese characters. We extend this work by adding the component of radical extraction to speed up the search process. Experimental results show that the proposed method is more accurate and faster in finding more similar Chinese characters compared with the baseline method without considering the radical information.
Analyzing Ontology as a Facilitator During Global Requirements Elicitation
Authors: Gabriela N. Aranda, Aurora Vizcaino, Mario Piattini
Venue: Proceedings of the 2009 Fourth IEEE International Conference on Global Software Engineering (2009)

Global software development projects deal with a variety of challenges, particularly those concerning communication and language differences. Bearing this in mind, processes that are crucially based on communication, such as requirements elicitation, must be specially rethought to minimize critical situations. Since effective communication would help to reduce misunderstandings among stakeholders, and therefore help to achieve more committed requirements, we propose a framework for global requirements elicitation focused on minimizing the most frequent problems in GSD. Both the proposal and the preliminary results of a controlled experiment are presented in this paper.
Detecting physical shock by a mobile phone and its applications in security and emergency
Authors: Hamed Ketabdar
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

In this paper, we propose a method for detecting physical shock by a mobile phone and its applications in security and emergency scenarios. We use acceleration signal provided by accelerometers integrated in a mobile phone to detect shocks. The shock is identified by analysis of acceleration pattern using statistical signal processing methods. We propose to use such a shock detection application for increasing security of data access in a mobile phone, as well as identifying scenarios which user of mobile phone experiences risky emergency events.
Modelling Human Segmentation Trough Color and Space Analysis
Authors: Agnés Borràs, Josep Lladós
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

This paper proposes an algorithm of color segmentation that models the human-based perception according the Gestalt laws of similarity and proximity. We use the mean shift clustering to translate these laws into the analysis of the color layout of an image. Given a set of possible segmentations, the method uses a measure of stability to identify the most meaningful regions according to perceptual criteria. Quantitative results obtained on the Berkeley data set show that this approach outperforms state-of-the-art methods on human-based image segmentation. 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
Poster abstract: Reliable data collection from mobile users for real-time clinical monitoring
Authors: Octav Chipara, Christopher Brooks, Sangeeta Bhattacharya, Chenyang Lu, Roger Chamberlain, Gruia-Catalin Roman, Thomas C. Bailey
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Real-time patient monitoring is critical to early detection of clinical patient deterioration in general hospital wards. A key challenge in such applications is to reliably deliver sensor data from mobile patients. We present an empirical analysis on the reliability of data collection from wireless pulse oximeters attached to users. We observe that most packet loss occur from mobile users to their first-hop relays. Based on this insight we developed the Dynamic Relay Association Protocol (DRAP), a simple and effective mechanism for dynamically discovering the right relays to be used for forwarding data from mobile users.
Multi-robot Cooperation in Space: A Survey
Authors: Jürgen Leitner
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

This paper reviews the literature related to multi-robot research with a focus on space applications. It starts by examining definitions of, and some of the fields of research, in multi-robot systems. An overview of space applications with multiple robots and cooperating multiple robots is presented. The multi-robot cooperation techniques used in theoretical research as well as experiments are reviewed, and the applicability for space applications is investigated.
Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms
Authors: Savaş Yıldırım, Yılmaz Kılıçaslan, Tuğba Yıldız
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

This paper reports on the results of some pronoun resolution experiments performed by applying a decision tree and a rule-based algorithm on an annotated Turkish text. The text has been compiled mostly from various popular child stories in a semi-automatic way. A knowledge-lean learning model has been devised using only nine most commonly employed features. An evaluation and comparison of the performances achieved with the two different algorithms is offered in terms of the recall, precision and f-measure metrics.
Visualization and adjustment of evaluation functions based on evaluation values and win probability
Authors: Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

We present a method of visualizing and adjusting the evaluation functions in game programming in this paper. It is widely recognized that an evaluation function should assign a higher evaluation value to a position with greater probability of a win. However, this relation has not been utilized directly to tune evaluation functions because of the difficulty of measuring the probability of wins in deterministic games. We present the use of win percentage to utilize this relation in positions having the same evaluation value as win probability, where the positions we used were stored in a large database of game records. We introduce an evaluation curve formed by evaluation values and win probabilities, to enable evaluation functions to be visualized. We observed that evaluation curves form a sigmoid in various kinds of games and that these curves may split depending on the properties of positions. Because such splits indicate that an evaluation function that is visualized misestimates positions with less probability of winning, we can improve this by fitting evaluation curves to one. Our experiments with Chess and Shogi revealed that deficiencies in evaluation functions could be successfully visualized, and that improvements by automatically adjusting their weights were confirmed by self-plays.
Based on Measurements of Dynamic Wheel Braking Force Detection Vehicle Trajectory Study
Authors: Bing Li, Meng Chen
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

To evaluate braking performance of the vehicle scientifically and acquire directly described braking performance parameters of braking distance, horizontal displacement and yaw angle, the paper brings forward the method of testing braking track basing on dynamic measurements of braking wheel force solvesthe problem that can only rely on the road testing to get the braking track. The same pressure sensors are installed on the four corners of a single rectangular plate. With adjacent side of the rectangular plate as axis, plane coordinate system is established. When the wheels brake in the plate, braking track is acquired by the way of torque balance. The testing flat which will be placed side by side in series can carry out the real-time test braking track of each wheel at the same time, braking distance, the horizontal displacement and yaw angle, the evaluation of the braking performance.