ppxscal/embedding_network huggingface dataset:
Quality in Global Software Development Projects: A Closer Look at the Role of Distribution
Authors: Marcelo Cataldo, Sangeeth Nambiar
Venue: Proceedings of the 2009 Fourth IEEE International Conference on Global Software Engineering (2009)

The impact of distribution on global software development project is well established. Most of the empirical work has focused of a single dimension of distribution such as geographical distance or difference in time zones across locations, leaving other important dimensions of distribution unexplored. In this paper, we take a multi-dimensional view of distribution. In particular, we examined the impact of the nature of the distribution of development teams as well as the nature of the distribution of work on project quality using data from 189 distributed software development projects. Our analysis revealed that projects with uneven distributions of developers across locations were more likely to exhibit higher levels of defects than those projects with balanced distributions. Similarly, projects with uneven distributions of development effort across locations were more likely to exhibit higher levels of defects than those projects with balanced distributions.
Web Services Based Bio-signal System Leveraging Support Vector Machines
Authors: Sung-Huai Hsieh, Sheau-Ling Hsieh, Chia-Ping Shen, Wei-Hsin Chen, Po-Hsun Cheng, Kai-Ping Hsu, Chi-Huang Chen, Feipei Lai
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health Information System.
Application Research of Visual Cognition Probabilistic Model on Urban Tunnel's Sign
Authors: Zhigang Du, Xiaodong Pan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Driver’s characteristics of eye movements can express the visual information processing procedure; the sign’s safety of urban tunnel stage can be evaluated by recording and analyzing driver’s eye-movement characteristics. By using EMR-8B eye tracker system, driver’s eye movements was taken as research object, the typical urban tunnel in Shanghai City was selected, 16 times experiment were carried out for 4 drivers. The universal regulations of eye movements were obtained. Considering the target sign’s location of driver’s visual field, the tunnel sign’s visual cognition probabilistic model based on driver’s eye-movement characteristics was established. The visual cognition probabilistic model was applied to evaluate the safety of the urban tunnel sign. The corresponding enhancement method were brought out to improve the sign’s visual cognition.
Applying the "Team Player" Approach on Car Design
Authors: Staffan Davidsson, Håkan Alm
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

Automation can cause problems with `the human factor'. One approach is to make automation become a team player. A team player agrees on a common ground, they show intention, they show reasoning, express their limits of performance and so on. This approach has been applied to adaptive driver information in the present study. Ten experts on different in-vehicle systems were interviewed. The experts found the team play approach both challenging and interesting. However, the experts also found a difficulty in combining the increased visual workload required to "be a team player" with car driving, that is already visually, manually and cognitively challenging. The experts believed that the approach described by the researchers rather described agents before they become team players than being team players. What is needed is "teambuilding"; the solution suggested is a compromise and could be described as a separate view for the above mentioned information.
Pattern Matching and I/O Replay for POSIX I/O in Parallel Programs
Authors: Michael Kluge, Andreas Knüpfer, Matthias Müller, Wolfgang E. Nagel
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

This paper describes an approach to track, compress and replay I/O calls from a parallel application. We will introduce our method to capture calls to POSIX I/O functions and to create I/O dependency graphs for parallel program runs. The resulting graphs will be compressed by a pattern matching algorithm and used as an input for a flexible I/O benchmark. The first parts of the paper cover the information gathering and compression in the area of POSIX I/O while the later parts are dedicated to the I/O benchmark and to some results from experiments.
A Pattern Classification Approach to DNA Microarray Image Segmentation
Authors: Luis Rueda, Juan Carlos Rojas
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

A new method for DNA microarray image segmentation based on pattern recognition techniques is introduced. The method performs an unsupervised classification of pixels using a clustering algorithm, and a subsequent supervised classification of the resulting regions. Additional fine tuning includes detecting region edges and merging, and morphological operators to eliminate noise from the spots. The results obtained on various microarray images show that the proposed technique is quite promising for segmentation of DNA microarray images, obtaining a very high accuracy on background and noise separation.
Stabilization of a Class of Switched Systems with Mismatched Switching
Authors: Weiming Xiang, Mingxia Che, Chenyong Xiao, Zhengrong Xiang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The stabilization of switched systems with switching mismatched controller is investigated in this paper. When the controller mismatches the switching law, the stabilization condition for switched system during both matching and mismatching period is investigated and an approach of designing stabilizing controller for switched systems based on average dwell time is proposed, and then the approach is extended to design of stabilizing controller for switched systems with perturbations. Finally, the simulation results show that the approach designed by this paper is very effective.
Effects of a Mnemonic Technique on Subsequent Recall of Assigned and Self-generated Passwords
Authors: Deborah L. Nelson, Kim-Phuong L. Vu
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

Participants were trained on how to use a mnemonic strategy for memorizing assigned passwords or for generating new passwords. Memory for these passwords was examined at short and long recall delays. There was a significant interaction between type of password and recall delay for both the amount of time and number of attempts needed for participants to accurately recall their passwords. Participants trained in how to use the mnemonic technique to generate their own passwords were able to recall them more quickly and accurately than participants who were trained in how to use the mnemonic technique to memorize their assigned passwords. The impact of self-generated passwords on memory was discussed as well as the relative value of the mnemonic training strategy. Areas of future research were identified that may lead to the development of mnemonic training strategies to better enable users to recall their passwords.
A DR algorithm based on artificial potential field method
Authors: Xiang-Bin Shi, Xue Wang, Jing Bi, Fang Liu, Dan Yang, Xian-Yan Liu
Venue: Multimedia Tools and Applications (2009)

Considering player entity's motion regularity into DR (Dead Reckoning) algorithm can improve its prediction accuracy in MMOG (Massively Multiplayer Online Games), a novel DR algorithm was proposed to solve this problem in this paper. First the artificial potential field model of player entities is created, and then the acceleration of player entities is weighted with the acceleration produced by the potential field force and the acceleration reckoned by the traditional DR algorithm. In order to calculate the weight, Q-Learning algorithm is used. The experiments show that the method can improve prediction accuracy and reduce the network traffic.
Optimizing Multicast Tree in NGN Based on Self-Adaptive Immune Algorithm
Authors: Zhao-Xia Liang, Yong-Sheng Ding, Quan Gu, Shu-Ping Zhang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The QoS is a key measure for satisfaction level of Next-Generation Network (NGN). QoS multicast routing is becoming an urgent problem to promote NGN. An optimization mode is proposed for it, and an immune inspired algorithm is designed to solve the model. The simulation study shows the promising effects of the model and the algorithm. The study can meet the requirements of NGN performance optimization.
"How Do I Evaluate THAT?" Experiences from a Systems-Level Evaluation Effort
Authors: Pardha S. Pyla, H. Rex Hartson, Manuel A. Pérez-Quiñones, James D. Arthur, Tonya L. Smith-Jackson, Deborah Hix
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

In this paper we describe our experience deriving evaluation metrics for a systems-level framework called Ripple that connects software engineering and usability engineering life cycles. This evaluation was conducted with eight teams of graduate students (falling under four types of development models) competing in a joint software engineering and usability engineering course to create a software solution for a real world client. We describe the challenges of evaluating systems-level frameworks and the approach we used to derive metrics given our evaluation context. We conclude with the outcome of this evaluation and the effectiveness of the metrics we employed.
Automatic Mapping of Social Networks of Political Actors from Large Collections of News Stories
Authors: Noah T. Cepela, James A. Danowski
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

To illustrate the use of the semantic network analysis package WORDij 3.0 for automatic social network analysis, this research mapped the social networks of the cabinet members of presidential administrations from Nixon to G.W. Bush large using collections of news stories. Every news story written in the New York Times and Washington Post about each cabinet member during their terms was mined. Network visualizations and centrality statistics were computed as illustrative of main approaches to social network analysis. The method of network data mining reported here is based on having a list of names for which one wants to map social networks from documents. The software processes gigabytes of text to produce standard network data on the actors based on their co-appearance in news stories or other documents on the Web.
Similarity Searches in Face Databases
Authors: Annalisa Franco, Dario Maio
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

In this paper the problem of similarity searches in face databases is addressed. An approach based on relevance feedback is proposed to iteratively improve the query result. The approach is suitable both to supervised and unsupervised contexts. The efficacy of the learning procedures are confirmed by the results obtained on publicly available databases of faces.
Learning topological maps with weak local odometric information
Authors: Hagit Shatkay, Leslie Pack Kaelbling
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

Topological maps provide a useful abstraction for robotic navigation and planning. Although stochastic maps can theoretically be learned using the Baum-Welch algorithm, without strong prior constraint on the structure of the model it is slow to converge, requires a great deal of data, and is often stuck in local minima. In this paper, we consider a special case of hidden Markov models for robot-navigation environments, in which states are associated with points in a metric configuration space. We assume that the robot has some odometric ability to measure relative transformations between its configurations. Such odometry is typically not precise enough to suffice for building a global map, but it does give valuable local information about relations between adjacent states. We present an extension of the Baum-Welch algorithm that takes advantage of this local odometric information, yielding faster convergence to better solutions with less data.
A New Kind of Combined Digital Electro-hydraulic Valve
Authors: Yanping Shi, Yuling Du
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

In order to improve the control performance of some electro-hydraulic digital control system and simplify the system a kind of combination digital valve was designed in the paper. Based on pulse code modulation principle, the combination digital valve which is made of many on-off valves has a lot of advantage such as being simple in structure, good in anti-pollution and cheap, so it is suitable for application in electro-hydraulic servo control system control by the computer of some large-scale mining machinery equipment like the long-distance belt conveyer.
Computational Aesthetics 2008: Categorizing art: Comparing humans and computers
Authors: Christian Wallraven, Roland Fleming, Douglas Cunningham, Jaume Rigau, Miquel Feixas, Mateu Sbert
Venue: Computers and Graphics (2009)

The categorization of art (paintings, literature) into distinct styles such as Expressionism, or Surrealism has had a profound influence on how art is presented, marketed, analyzed, and historicized. Here, we present results from human and computational experiments with the goal of determining to which degree such categories can be explained by simple, low-level appearance information in the image. Following experimental methods from perceptual psychology on category formation, naive, non-expert participants were first asked to sort printouts of artworks from different art periods into categories. Converting these data into similarity data and running a multi-dimensional scaling (MDS) analysis, we found distinct categories which corresponded sometimes surprisingly well to canonical art periods. The result was cross-validated on two complementary sets of artworks for two different groups of participants showing the stability of art interpretation. The second focus of this paper was on determining how far computational algorithms would be able to capture human performance or would be able in general to separate different art categories. Using several state-of-the-art algorithms from computer vision, we found that whereas low-level appearance information can give some clues about category membership, human grouping strategies included also much higher-level concepts.
Independence of axiom system of basic algebras
Authors: Ivan Chajda, Miroslav Kola&#x0159;&#x00ed;k
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2008)

We prove that the axiom system of basic algebras as given in Chajda and Emanovsk&#x00fd; (Discuss Math Gen Algebra Appl 24:31&#x2013;42, 2004) is not independent. The axiom (BA3) can be deleted and the remaining axioms are shown to be independent. The case when the axiom of double negation is deleted is also treated.
The LBS System Based on BREW Platform
Authors: Xilong Qu, Yingchun Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Because of the defaults of long positioning time, weak positioning signal and low positioning accuracy based on the technology of GPS/GSM, a new position service based on the vector map was presented. The system can provides many services, including self-positioning, city guides, tourist guide and logistics system. Moreover, the basic principle of GFSOne was introduced. As an example to Xiangtan region, a prototype system was presented. Finally, the core source code and running interfaces are shown.
Prediction of Ground Water Level Based on DE-BP Neutral Network
Authors: Lishan Ma, Dekui Yuan, Jianhua Tao, Guoli Yang, Yong Sun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

The continuous decline of ground water level is one of the important factors that affect development of national economy and society. Based on the DE-BP (Back Propagation-Differential Evolution) neutral network, the predicting model of ground water level is presented. The precision of the model is checked using the monitoring data in Zhangjiakou area. The comparisons between the predicted results of the three models (BP model, GA-BP model and DE-BP model) and the monitoring data show that the precision of the present algorithm is high with the maximum relative error being 0.17%.
Pairwise Comparisons Based Non-Numerical Ranking
Authors: Ryszard Janicki
Venue: Fundamenta Informaticae (2009)

A systematic procedure for deriving weakly ordered non-numerical rankings from given sets of data is proposed and analysed. The data are assumed to be collected using the Pairwise Comparisons paradigm. The concept of a partially ordered approximation of an arbitrary binary relation is formally defined and some solutions are proposed. The problem of testing and the importance of indifference and the power of weak order extensions are also discussed.
A Heuristic QoS-Aware Service Selection Approach to Web Service Composition
Authors: Dongmei Liu, Zhiqing Shao, Caizhu Yu, Guisheng Fan
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Web service composition is a flexible way for resource sharing and application integration. However, how to guarantee quality of service composition remains a challenging problem. This paper proposes a heuristic approach to optimizing service selection for composition so that the user’s QoS expectation is satisfied. Optimization is enforced for constraints in both local and global level. For each level, a mathematical model is established, and the corresponding heuristic algorithm to solve Web service selection problem by using convex hull frontiers method is proposed. Furthermore, Multiple Criteria Decision Making (MCDM) technique is applied to merge multiple dimensional resources in the heuristic algorithms. Finally, a case study demonstrates feasibility and efficiency of our method.
Building Problem Spaces for Deaf and Hard of Hearing Students' Spatial Cognition in a Programming Language
Authors: Nobuhito Yamamoto, Tomoyuki Nishioka, Syoko Shiroma
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

It has been published that the mental faculty for handling languages influences the development of spatial cognition ability for deaf and hard of hearing students. To make measurements for their ability and extract the features, various kinds of methods that decrease the language effects have been tried. In this article, an experimental method is described that uses a programming language. The communication method using the simple language and the graphical interface may give us a convenient way for students' understanding questions and expressing their ideas. The software tool used in the research, Hyperlogo and its graphical interface, is described in the first half section. And then the experiments to which the tool is applied are shown.
Embedded Yarn Tension Control System Based on the Design of the Sensor
Authors: Jian-gang Zhang, Xiao-guang Wu, Li Zhu, Chao Yu, Wen-bin Zhu, Jin-bai Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

On the basis of elaborating the traditional tension control, a new software design in which digital motol control and digital display used is offered. Simple and effective practical yarn tension controlling system of MCU design is adopted in its hardware. It, meantime, discussed the tension transmission system, specific quantization and the anti-interference problems. The results show that the controller has simple structure, low-cost and great performance.
Optimizing walking controllers
Authors: Jack M. Wang, David J. Fleet, Aaron Hertzmann
Venue: ACM Transactions on Graphics (TOG) (2009)

This paper describes a method for optimizing the parameters of a physics-based controller for full-body, 3D walking. A modified version of the SIMBICON controller [Yin et al. 2007] is optimized for characters of varying body shape, walking speed and step length. The objective function includes terms for power minimization, angular momentum minimization, and minimal head motion, among others. Together these terms produce a number of important features of natural walking, including active toe-off, near-passive knee swing, and leg extension during swing. We explain the specific form of our objective criteria, and show the importance of each term to walking style. We demonstrate optimized controllers for walking with different speeds, variation in body shape, and in ground slope.
Fast and Robust Multiframe Superresolution Using Inhibition Principle
Authors: Hamid Palangi, Shohreh Kasaei
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

An efficient super resolution (resolution enhancement)method for low resolution images is proposed in this paper. The algorithm is mainly based on a mathematical theorem (inhibition principle) for over determined scenario of superresolution. The proposed method aims at achieving a fast and computationally efficient resolution enhancement.Performance of the proposed method is compared to the conventional Farsiu method to show that with less computational complexity the proposed method results in comparable and sometimes slightly better high resolution images. The proposed method can be considered as an improvement to the Farsiu method.
BestCut: a graph algorithm for coreference resolution
Authors: Cristina Nicolae, Gabriel Nicolae
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

In this paper we describe a coreference resolution method that employs a classification and a clusterization phase. In a novel way, the clusterization is produced as a graph cutting algorithm, in which nodes of the graph correspond to the mentions of the text, whereas the edges of the graph constitute the confidences derived from the coreference classification. In experiments, the graph cutting algorithm for coreference resolution, called BestCut, achieves state-of-the-art performance.