ppxscal/embedding_network huggingface dataset:
Value Based Extreme Programming
Authors: Monica Yap
Venue: Proceedings of the conference on AGILE 2006 (2006)

Agile methods, such as Scrum and Extreme Programming, are not known for carefully tracking to time and cost estimates. On most projects, schedule slips are common and cost increases are predictable. At the end of every iteration, some of our stories get dropped, usually due to reasons such as "the story took longer than what we expected", or "we didn't find out scope X about the story until we were in the middle of the iteration". Every slip and increase reduces total business value delivered and project overruns force other high-value projects to be delayed or canceled. Together these costs cause a large negative value impact that could be avoided. Agile needs a better way to measure total value delivered in relation to cost. Agile methods must encourage accountability for on-time delivery and scope, based on value and cost. What is missing in most Agile implementations is a value-based feedback mechanism involving shared responsibility between the customer and the team. This experience report describes how one company addressed these challenges and the lessons learned: it explains how we achieved on-time delivery, assisted customers in selecting high value features, provided shared responsibility, and facilitated individual team member empowerment. All the practices used are presented in pattern format.
Non-Rigid Metric Shape and Motion Recovery from Uncalibrated Images Using Priors
Authors: Alessio Del Bue, Xavier Llad, Lourdes Agapito
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

In this paper we focus on the estimation of the 3D Euclidean shape and motion of a non-rigid object which is moving rigidly while deforming and is observed by a perspective camera. Our method exploits the fact that it is often a reasonable assumption that some of the points are deforming throughout the sequence while others remain rigid. First we use an automatic segmentation algorithm to identify the set of rigid points which in turn is used to estimate the internal camera calibration parameters and the overall rigid motion. Finally we formalise the problem of non-rigid shape estimation as a constrained non-linear minimization adding priors on the degree of deformability of each point. We perform experiments on synthetic and real data which show firstly that even when using a minimal set of rigid points it is possible to obtain reliable metric information and secondly that the shape priors help to disambiguate the contribution to the image motion caused by the deformation and the perspective distortion.
Boundary element methods: an overview
Authors: George C. Hsiao
Venue: Applied Numerical Mathematics (2006)

Variational methods for boundary integral equations deal with the weak formulations of boundary integral equations. Their numerical discretizations are known as the boundary element methods. This paper gives an overview of the method from both theoretical and numerical point of view. It summarizes the main results obtained by the author and his collaborators over the last 30 years. Fundamental theory and various applications will be illustrated through simple examples. Some numerical experiments in elasticity as well as in fluid mechanics will be included to demonstrate the efficiency of the methods.
Enhancing Collaborative Spam Detection with Bloom Filters
Authors: Jeff Yan, Pook Leong Cho
Venue: Proceedings of the 22nd Annual Computer Security Applications Conference (2006)

Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technology for detecting junk emails. In particular, some SCSD systems can identify previously unseen spam messages as such, although intuitively this would appear to be impossible. However, the SCSD approach usually relies on huge databases of email signatures, demanding lots of resource in signature lookup, storage, transmission and merging. In this paper, we report our enhancements to two representative SCSD systems. In our enhancements, signature lookups can be performed in constant time, independent of the number of signatures in the database. Space-efficient representation can significantly reduce signature database size. A simple but fast algorithm for merging different signature databases is also supported. We use the Bloom filter technique and a novel variant of this technique to achieve all this.
Conation: Its Historical Roots and Implications for Future Research
Authors: Laura G. Militello, Frank C. Gentner, Stephanie D. Swindler, Gary II Beisner
Venue: Proceedings of the International Symposium on Collaborative Technologies and Systems (2006)

This conceptual paper is a review of the literature concerning conation. Although there is no single definition for conation, it has been described in several ways including the mental procedure directed toward action including volition and drive, or as the connection between cognition and affect to action. The historical aspects, applications, and research methods for studying conation are brief but informative. Based on the literature review, the application of conation appears to hold considerable promise, especially within the realm of sociotechnical design/systems.
Traffic Volume Forecasting Model for Cyber Weather Forecasting
Authors: JooBeom Yun, Seung-Hyun Paek, DoHoon Lee, Hyunsoo Yoon
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

Weather forecasts help us to live our life. We plan a schedule with reference to the weather forecast. Populations of internet would have helps if this kind of information was offered. Therefore, I propose a study on a cyber weather forecast. There are many components on a cyber weather forecast like weather forecasts. Especially I propose the traffic volume forecasting model for cyber weather forecasting. This can help us to prepare actions about the harmful network traffics. In this paper, I will give the traffic volume forecasting model based on linear time series model and non-linear time series model.
An Aid System to the Medical Diagnosis of Patients with Neurological Problems
Authors: E. M. Quirino, F. Paraguacu, G. M. C. Souza
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

The aim of this paper is to approach an Interactive Learning Environments of diagnosis support and aid in the treatment of patients who present neurological problems. This paper proposes an architecture that facilitates the activities of the medical students, in decision-support, giving advice in physiotherapy about patients with cerebral vascular accident.
Optimal design of cylindrical shells for enhanced buckling stability: application to supercavitating underwater vehicles
Authors: S. S. Ahn, M. Ruzzene
Venue: Finite Elements in Analysis and Design (2006)

The static and dynamic stability of supercavitating vehicles is investigated. The vehicles are modeled as thick shells, using nine-node isoparametric shell elements. The model allows the prediction of the behavior of shells of non-uniform thickness, and it is formulated to account for the presence of circumferential stiffeners. The considered buckling loads include compressive forces corresponding to propulsion and drag at the nose of the vehicle, and a concentrated axial force corresponding to the drag experienced by the vehicle on its afterbody. The latter is modeled as a time-dependent force, varying harmonically in time.The stability performance of plain shells is compared to those of tapered and stiffened shells. The tapered and stiffened configurations are then optimized to enhance the overall stability characteristics of the vehicle, while minimizing the required added weight. The considered stability study highlights operating limits for the considered class of vehicles and suggests simple design solutions for their extension.
Optimal Joint Session Admission Control in Integrated WLAN and CDMA Cellular Networks with Vertical Handoff
Authors: Fei Yu, Vikram Krishnamurthy
Venue: IEEE Transactions on Mobile Computing (2007)

This paper considers optimizing the utilization of radio resources in a heterogeneous integrated system consisting of two different networks: a wireless local area network (WLAN) and a wideband code division multiple access (CDMA) network. We propose a joint session admission control scheme for multimedia traffic that maximizes overall network revenue with quality of service (QoS) constraints over both the WLAN and the CDMA cellular networks. The WLAN operates under the IEEE 802.11e medium access control (MAC) protocol, which supports QoS for multimedia traffic. A novel concept of effective bandwidth is used in the CDMA network to derive the unified radio resource usage, taking into account both physical layer linear minimum mean square error (LMMSE) receivers and characteristics of the packet traffic. Numerical examples illustrate that the network revenue earned in the proposed joint admission control scheme is significantly larger than that when the individual networks are optimized independently with no vertical handoff between them. The revenue gain is also significant over the scheme in which vertical handoff is supported, but admission control is not done jointly. Furthermore, we show that the optimal joint admission control policy is a randomized policy, i.e., sessions are admitted to the system with probabilities in some states.
A computationally efficient self-calibrating direction-of-arrival estimator
Authors: D. McArthur, J. P. Reilly
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

In this paper, we discuss new self-calibrating techniques for direction-of-arrival (DOA) estimation using an array of sensors, based on estimation-theoretic methods. We consider two cases; one where the background noise is known to be white; the other where the background noise is coloured with unknown covariance. Modern high-resolution array processing algorithms have long suffered from the sensitivity of the bearing estimates to sensor gain and phase calibration errors. This paper presents methods of jointly estimating both the incident DOA's and calibration parameters, under the assumption that the radiation incident onto the array is in the form of a discrete number of plane waves. Simulation results are given which show that the performance of the proposed methods are significantly improved over conventional algorithms which do not take calibration errors into consideration.
Industrial Perspective on the Usefulness of Design Rationale for Software Maintenance: A Survey
Authors: Muhammad Ali Babar, Antony Tang, Ian Gorton, Jun Han
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Software maintenance is widely known as a problematic area that may consume up to 80% of a software project's resources. It has been claimed that providing an effective mechanism to access Design Rationale (DR) has great potential to improve software maintenance processes. However, we postulate that the first step towards exploring the potential of DR for improving software maintenance should be to gain a better understanding of what DR means to practitioners, how valuable they consider DR to be and how they use DR. To determine the perceived usefulness of DR, we surveyed a large number of software designers. This exploratory study has discovered that practitioners recognize the importance of DR to understand existing designs and frequently use it to reason about proposed modifications. The results of this study establish that DR is perceived by practitioners to be useful and the efforts required to capture DR for the purpose of maintenance are worthwhile. The findings allow us to identify areas of further research on DR support that have the potential to improve the maintenance process.
New constructions of optimal self-dual binary codes of length 54
Authors: Stefka Bouyuklieva, Patric R. Östergård
Venue: Designs, Codes and Cryptography (2006)

The quaternary Hermitian self-dual [18,9,6]4 codes are classified and used to construct new binary self-dual [54,27,10]2 codes. All self-dual [54,27,10]2 codes obtained have automorphisms of order 3, and six of their weight enumerators have not been previously encountered.
Simulation modeling of the level of use of e-health system and optimization of its effect on patient quality of life
Authors: Abhik Bhattacharya, David H. Gustafson
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Comprehensive Health Enhancement Support System (CHESS) is a disease-specific computer-based system designed to meet information and support needs. The users of discussion group, the most used service provided through CHESS, gain enhanced quality of life (QoL). A benefit-based model for sustainable use of discussion group is developed, validated, and analyzed. The model deals with the system of opposing forces that link discussion group size and communication activity and the chances of participation by a member. The model was calibrated based on a subset of empirical data collected from two randomized clinical trials of breast cancer patients, while the remaining data was used to validate. Simulation experiments were conducted to determine the model's predictions regarding the impact of CHESS on QoL. The results imply that the use of communication in electronic support groups will enhance the QoL of cancer patients balancing the opposing forces of group size and communication activity.
Distributed autonomous interface using ActiveCube for interactive multimedia contents
Authors: Ryoichi Watanabe, Yuichi Itoh, Yoshifumi Kitamura, Fumio Kishino, Hideo Kikuchi
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

In this paper, we describe a unique and novel function of ActiveCube that develops interactive multimedia contents; a new method that reduces the load of the host PC by distributed control between the host PC and cubes. Furthermore, we propose and implement a method that restricts unnecessary packets in the network between the host PC and cubes by realizing autonomous activity of each cube and encapsulation of input/output devices. Then we conducted experiments to evaluate the performance of the proposed system to achieve natural and intuitive interactions.
Real-Time Neural Network Based Online Identification Technique for a UAV Platform
Authors: Vishwas R. Puttige, Sreenatha G. Anavatti
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

This paper presents the results of an online identification algorithm based on Autoregressive models aided by Artificial Neural Networks for the non-linear dynamics of an Unmanned Aerial Vehicle (UAV) platform. Numerical simulations were performed for different combinations of the network structures and the autoregressive model. The weights were trained and updated online using the Levenberg Marquardt method. The results have been validated using the real-time Hardware in the Loop simulation technique for different sets of flight data.
Internet Calendaring and Scheduling Core Object Specification (iCALENDAR) Compatible Collaborative Calendar-Server (CCS) Web Services
Authors: Ahmet Fatih Mustacoglu, Wenjun Wu, Geoffrey Fox
Venue: Proceedings of the International Symposium on Collaborative Technologies and Systems (2006)

There has been a clear need to have a common format for representing calendar data to solve the interoperability issues between different types of Calendaring and Scheduling applications. Internet Calendaring and Scheduling Core Object Specification (iCalendar) defines a common format for calendar data exchange to progress the level of interoperability possible between different calendaring and scheduling applications. In this paper, we describe our approach to resolve interoperability issues by providing implementations of a Collaborative Calendar-Server (CCS), a bridge module, and a Global Multimedia Collaboration System (GlobalMMCS) Client Module. The CCS is implemented based on the iCalendar specification as a collection of Web Services. The bridge module allows the CCS to communicate with different Calendaring and Scheduling applications, which are based on the iCalendar specification and use http methods for interactions. GlobalMMCS portal interacts with the CCS to schedule meetings, and to store and to retrieve calendar information through the GlobalMMCS Client Module.
Energy Modeling Inside a Cluster for the Multi-hop Clustered Sensor Networks
Authors: Jin-Chul Choi, Chae-Woo Lee
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

Wireless Sensor Networks consisting of a number of small sensor nodes with limited battery power are deployed to collect useful information from the field. Since neighboring sensor nodes generally have the data of similar information, duplicate transmissions of similar information are usual. In order to prevent energy wastes by duplicate transmissions, it is advantageous to organize sensor nodes into clusters and have the cluster-head node to aggregate the collected data and transmit them on behalf of its cluster. The performance of the clustering scheme is influenced by a method of cluster-head election and the size or the number of clusters. Thus we should optimize these factors to maximize the energy efficiency of the clustering scheme. In this paper, we model the energy consumed by cluster-member nodes inside a cluster for the multi-hop clustered sensor networks. Simulation shows that our model is more accurate than the existing energy model
Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps
Authors: Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

We extend the self-organizing map in the variant as proposed by Heskes to a supervised fuzzy classification method. This leads to a robust classifier where efficient learning with fuzzy labeled or partially contradictory data is possible. Further, the integration of labeling into the location of prototypes in a self-organizing map leads to a visualization of those parts of the data relevant for the classification. The method is incorporated in a clinical proteomics toolkit dedicated for biomarker search which allows the necessary preprocessing and further data analysis with additional visualizations.
Conditional Fault-Tolerant Hamiltonicity of Twisted Cubes
Authors: Jung-Sheng Fu
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

The n-dimensional twisted cube, denoted by TQ_n, a variation of the hypercube, possesses some properties superior to the hypercube. In this paper, assuming that each vertex is incident with at least two fault-free links, we show that TQ_n can tolerate up to 2n - 5 edge faults, while retaining a fault-free Hamiltonian cycle. The result is optimal with respect to the number of edge faults tolerated.
Variants of a New Volumetric Model for Dust Cloud Representation and Their Comparison to Existing Methods
Authors: David N. Carr, Jim Geyer
Venue: Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation (2006)

To date, the techniques used in most real-time graphics applications (eg. computer games) for modelling and representing dust clouds, centre around the use of flat, pre-drawn sprites, layered onto the screen as 'billboards'. While this can produce an adequate effect, it is not a very realistic representation. This paper presents a new method, based on an octree spacepartitioning scheme for fast and memory-efficient storage of volumetric data. This approach differs from the billboards-based methods previously used, in that it attempts to properly represent the three-dimensional volume of the cloud. Two variants are presented, that differ in the algorithm used to construct the volumetric representation. Models visualising the dust cloud created by a fast travelling vehicle, are implemented and compared with the existing real-time methods.
Adaptive spline interpolation for Hamilton-Jacobi-Bellman equations
Authors: Florian Bauer, Lars Grüne, Willi Semmler
Venue: Applied Numerical Mathematics (2006)

We study the performace of adaptive spline interpolation in semi-Lagrangian discretization schemes for Hamilton-Jacobi-Bellman equations. We investigate the local approximation properties of cubic splines on locally refined grids by a theoretical analysis. Numerical examples show how this method performs in practice. Using those examples we also illustrate numerical stability issues.
Extreme Construction: Making Agile Accessible
Authors: Joseph Bergin, Fred Grossman
Venue: Proceedings of the conference on AGILE 2006 (2006)

In recent years agile software development methodologies have become important. Extreme Programming (XP) is perhaps the best known of these. XP involves about a dozen key practices that work synergistically to provide quality software in an environment in which change is likely to occur. Here we present an exercise that we have developed and used successfully to train novices in the techniques. This exercise is novel in that it is accessible to programmers and non-programmers alike. In an industrial setting, this makes it available to managers and customers. In the educational setting, it becomes possible to teach the techniques to novices before they have learned any programming. It is intended for those who require some deep understanding of the synergies of agile methodology. Extreme Construction is a game that is both fun and informative. It teaches the fundamentals of any agile methodology while helping build a closely-knit team.
A New Transform with Extended Product to Exploit Different Scale Redundance
Authors: Zhiyuan Zhang, Yao Zhao
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Fractal image coding (FIC) can exploit redundance at different scale in spatial domain. But there is no scheme presented to exploit the different scale redundance in frequency domain. In this paper, we extend the H product defined by Kou et al. Using the extended product, a new transform is constructed to exploit redundance at different scale in frequency domain. Meanwhile, a quantization method is proposed for the new transform. At last a new coder is constructed based on the new transform and quantization method. Experimental results suggest that the coder based on our transform can achieve better decoded image quality than FIC and JPEG, and the coding time of our coder is shorter than FIC.
Search-and-Discover in Mobile P2P Network Databases
Authors: Ouri Wolfson, Bo Xu, Huabei Yin, Hu Cao
Venue: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (2006)

In this paper we propose a novel algorithm called Rank-Based Broadcast (RBB) for discovery of local resources in mobile P2P networks. With RBB, each moving object periodically broadcasts the most relevant resource reports and queries it knows to its neighbors, and the contribution is in determining how to rank the reports and queries in terms of their relevance, when to broadcast them, and how many to broadcast. A major difference between RBB and many existing algorithms in the resource discovery and publish/subscribe literature is that RBB does not rely on any pre-established routing structure, and therefore is able to adapt to both high mobility environments. In the paper we experimentally compare RBB with flooding and PSTree, a publish/subscribe algorithm for wireless ad-hoc networks. The results show that RBB by far outperforms the other two algorithms.