ppxscal/embedding_network huggingface dataset:
An Interval Set Classification Based on Support Vector Machines
Authors: Yinggang Zhao, Qi Chen, Qinming He
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

The input vector of standard support vector machine (SVM) is -array attributes. Before new patterns are classified by trained SVM, the measurement of all attribute values is always necessary. In order to make incomplete information patterns can be classified correctly by trained SVM, we extend the inputs vector of SVM to interval input vectors where each unmeasured attribute of input is represented by an interval which includes its possible value, and the operation in classification function was extended to interval operation correspondingly. For the incomplete information input, the value of classification function is the interval operation result. When the output of classification function satisfies the classification condition, the incomplete information input pattern can be classified correctly. Meanwhile the attribute value prior knowledge about interval representation can be utilized fully in the proposed algorithm. Both theory analyze and experiments result all show the present algorithm is practical and effective, and the input attribute measurement cost can also be reduced.
System Dynamics modeling in health care
Authors: Gary B. Hirsch
Venue: ACM SIGSIM Simulation Digest (1979)

The System Dynamics modeling technique has been extensively applied to health care problems. Most of these applications have revealed insights to planners and policy-makers that would not have arisen without a System Dynamics model. The distinctive characteristics of System Dynamics that enabled these insights to be developed have also been the source of some problems as well. These problems have hindered the implementation of results from certain health care modeling efforts and have kept System Dynamics from being more broadly and extensively applied in the health care field. This paper focuses on both the strengths System Dynamics has shown in its applications to health care and the difficulties that have been encountered. As background to the discussion of strengths and problems, the paper begins with a general description of the System Dynamics approach and brief history of its development and application to health care.
The Impact of Dynamic Link Slowdowns on Network Stability
Authors: Dimitrios Koukopoulos
Venue: Proceedings of the 8th International Symposium on Parallel Architectures,Algorithms and Networks (2005)

A very natural question that arises in the context of stability properties of packet-switched networks is how the dynamic changing of the network link slowdowns precisely affects these properties. In this work, we embark on a systematic study of this question adopting the Adversarial, Quasi- Static Slowdown Queueing Theory model, where an adversary controls the rates of packet injections, determines packet paths and manipulates link slowdowns. Within this model, we show that a network that uses the LIS (Longestin- System) protocol for contention-resolution can be unstable for arbitrarily low injection rates. Moreover, we present involved combinatorial constructions of executions that improve the state-of-the-art instability bound induced by certain known forbidden subgraphs on networks running a certain greedy protocol. These bounds are lower than their known counterparts for the classical Adversarial Queueing Theory model and other dynamic adversarial models.
Requirements for CBD Products and Process Quality
Authors: Haeng-Kon Kim, Roger Y. Lee, Hae-Sool Yang
Venue: Proceedings of the Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (2005)

This position paper presents arguments for including the properties of processes involved in various approaches to component-based software development in predicting systems properties. It discusses how processes impact on system properties and relates the issues raised to standards that already address process and product quality. Although many standards still apply, CBD changes interpretations and emphases.
An ARIS-based Transformation Approach to Semantic Web Service Development
Authors: Cheng-Leong Ang, Yuan Gu, Olga Sourina, Robert Kheng Leng Gay
Venue: Proceedings of the 2005 International Conference on Cyberworlds (2005)

This paper explores the use of ARIS for Semantic Web Service development. It proposes an ARIS-based transformation methodology for the automatic specification and development of Semantic Web Services. It also identifies research issues which have yet to be resolved for the development of a supporting software tool for the methodology.
An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks
Authors: Vincent S. Tseng, Eric H. C. Lu, Kawuu W. Lin
Venue: Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (2005)

In this paper, we propose a new approach for efficient and real-time tracking of the moving objects in sensor networks by mining the movement log. In our approach, we first conduct the hierarchical clustering to form a hierarchical model for the sensor nodes. Secondly, the movement logs of the moving objects are analyzed by a data mining algorithm to obtain the movement rules, which are then used to predict the next position of a moving object. Besides, we use the multi-level structure to represent the hierarchical relations among sensors so as to achieve the goal of keeping track of moving objects in real-time. Through experimental evaluation on various simulation conditions, the proposed method is shown to deliver excellent performance in terms of both energy efficiency and timeliness.
A distributed event delivery method with load balancing for MMORPG
Authors: Shinya Yamamoto, Yoshihiro Murata, Keiichi Yasumoto, Minoru Ito
Venue: Proceedings of 4th ACM SIGCOMM workshop on Network and system support for games (2005)

In this paper, we propose a new distributed event delivery method for MMORPG (Massively Multiplayer Online Role Playing Games). In our method, the whole game space is divided into multiple sub spaces with the same size and some player nodes are selected as responsible nodes to deliver game events occurring in their responsible sub spaces. Our method includes (1) a load balancing mechanism which allows each responsible node for the crowded sub space to dynamically construct a tree of multiple nodes and deliver events along the tree to reduce event forwarding overhead per node, (2) a technique to reduce end-to-end event delivery delay by dynamically replacing nodes in the tree, and (3) a technique to efficiently and seamlessly switch sub spaces to be observed while each player's view moves around in the game space. Through experiments, we show that our method achieves practical performance for MMORPG.
Entropy Based Worm and Anomaly Detection in Fast IP Networks
Authors: Arno Wagner, Bernhard Plattner
Venue: Proceedings of the 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (2005)

Detecting massive network events like worm outbreaks in fast IP networks, such as Internet backbones, is hard. One problem is that the amount of traffic data does not allow real-time analysis of details. Another problem is that the specific characteristics of these events are not known in advance. There is a need for analysis methods that are real-time capable and can handle large amounts of traffic data. We have developed an entropy-based approach, that determines and reports entropy contents of traffic parameters such as IP addresses. Changes in the entropy content indicate a massive network event. We give analyses on two Internet worms as proof-of-concept. While our primary focus is detection of fast worms, our approach should also be able to detect other network events. We discuss implementation alternatives and give benchmark results. We also show that our approach scales very well.
Generalized LARS as an effective feature selection tool for text classification with SVMs
Authors: S. Sathiya Keerthi
Venue: Proceedings of the 22nd international conference on Machine learning (2005)

In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a feature selection tool for text classification.
On sharply vertex transitive 2-factorizations of the complete graph
Authors: Marco Buratti, Gloria Rinaldi
Venue: Journal of Combinatorial Theory Series A (2005)

We introduce the concept of a 2-starter in a group G of odd order. We prove that any 2-factorization of the complete graph admitting G as a sharply vertex transitive automorphism group is equivalent to a suitable 2-starter in G. Some classes of 2-starters are studied, with special attention given to those leading to solutions of some Oberwolfach or Hamilton-Waterloo problems.
FPGA Implementation of Digital Controller for DC-DC Buck Converter
Authors: Miro Milanovic, Mitja Truntic, Primoz Slibar
Venue: Proceedings of the Fifth International Workshop on System-on-Chip for Real-Time Applications (2005)

This paper describes a complete digital controlled dc-dc buck converter performed by FPGAA circuitry. All tasks as are analog to digital conversion, control algorithm and pulse width modulation were implemented in the FPGA. This approach enables high-speed dynamic response and programmability of the controller without external passive components and more the controller structure could be changed from linear to non-linear easily also without external components. The applied algortihm enables the switching frequency of 100 kHz.
An evaluation of teacher access, choice, and the instructional impact of laptop computers
Authors: Kay Davis
Venue:  (2004)

Since the early 1980s, computers have been purchased for inclusion in the kindergarten through twelfth grade instructional program. There is no lack of research with regard to educational improvement when technology has been employed effectively. However, even as school districts continue to fund technology initiatives, most teachers express a lack of preparation to integrate technology into their curriculum. The most often cited barriers to successful integration include: access to technology, professional development, time to work with technology and technical support. The purpose of the evaluation study of the Southeast Delco School District initiative, Laptops for Staff, was to determine the impact that access to a laptop computer has had on teachers' instructional practice and professional use. In addition, teachers' choice of platform was evaluated with regard to supporting constructivist learning environments. Data collected through the Levels of Technology Implementation Questionnaire with addendum questions was used to determine how access to the laptop has enhanced the teaching and learning process. Results indicate that teachers are using the laptop for completion of administrative tasks, professional development, and are beginning to infuse technology into instructional practice. The accessibility and portability of the laptop supports teacher use with teachers indicating very high levels of use of the Laptop outside the regular school day&mdash;at night, an the weekends, and on vacation. The opportunity to choose the type of laptop was perceived as having an impact on instruction by allowing teachers to focus on using the machine rather than learning how to use the laptop. For continued support, teachers indicated a need for ongoing professional development that clearly addressed the integration of technology into curriculum rather than learning applications. Overall, teachers stated that access to the laptop helped change instructional practice and provided opportunities for professional growth to enhance the teaching and learning environment. Recommendations far future research include replication of the study in schools or districts that desire to ascertain the level of technology integration into instruction, whether or not laptop computers are accessible. Studies should focus on professional development that highlights the integration of technology into instruction and how that use promotes increased student achievement.
Multimodal three dimensional scene reconstruction: the gaussian fields framework
Authors: Mongi A. Abidi
Venue:  (2005)

The focus of this research is on building 3D representations of real world scenes and objects using different imaging sensors. Primarily range acquisition devices (such as laser scanners and stereo systems) that allow the recovery of 3D geometry, and multi-spectral image sequences including visual and thermal IR images that provide additional scene characteristics. The crucial technical challenge that we addressed is the automatic point-sets registration task. In this context our main contribution is the development of an optimization-based method at the core of which lies a unified criterion that solves simultaneously for the dense point correspondence and transformation recovery problems. The new criterion has a straightforward expression in terms of the datasets and the alignment parameters and was used primarily for 3D rigid registration of point-sets. However it proved also useful for feature-based multimodal image alignment. We derived our method from simple Boolean matching principles by approximation and relaxation. One of the main advantages of the proposed approach, as compared to the widely used class of Iterative Closest Point (ICP) algorithms, is convexity in the neighborhood of the registration parameters and continuous differentiability, allowing for the use of standard gradient-based optimization techniques. Physically the criterion is interpreted in terms of a Gaussian Force Field exerted by one point-set on the other. Such formulation proved useful for controlling and increasing the region of convergence, and hence allowing for more autonomy in correspondence tasks. Furthermore, the criterion can be computed with linear complexity using recently developed Fast Gauss Transform numerical techniques. In addition, we also introduced a new local feature descriptor that was derived from visual saliency principles and which enhanced significantly the performance of the registration algorithm. The resulting technique was subjected to a thorough experimental analysis that highlighted its strength and showed its limitations. Our current applications are in the field of 3D modeling for inspection, surveillance, and biometrics. However, since this matching framework can be applied to any type of data, that can be represented as N-dimensional point-sets, the scope of the method is shown to reach many more pattern analysis applications.
Global Software Processes Definition in a Distributed Environment
Authors: Mariangela Vanzin, Marcelo Blois Ribeiro, Rafael Prikladnicki, Ilmari Ceccato, Dante Antunes
Venue: Proceedings of the 29th Annual IEEE/NASA on Software Engineering Workshop (2005)

Global software development projects are passing through the boundaries of a company or a country. In order to manage global teams effectively, it is necessary to define a software process adapted to different organizational cultures. A global software process gives all team members a common language to define tasks and activities allowing the better understanding of the business domain terms and the project milestones in spite of their differences in terms of culture and organizational structures. This paper presents the practices adopted to define a global software process for a distributed environment and the factors that impacted in the process definition.
Inter-Plane Via Defect Detection Using the Sensor Plane in 3-D Heterogeneous Sensor Systems
Authors: Glenn H. Chapman, Vijay Jain, Shekhar Bhansal
Venue: Proceedings of the 20th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (2005)

Defect and fault tolerance is being studied in a 3D Heterogeneous Sensor using a stacked chip with sensors located on the top plane, and inter-plane vias connecting these to other planes which provide analog processing, digital signal processing, and wireless communication/networking. The sensor plane contains four types of transducers: visible imager (Active Pixel Sensor), near IR and mid IR imager, and seismic and acoustic sensor arrays. This paper investigates ways of introducing defect and fault tolerance into the inter-plane via connections between the sensor and digital signal processing planes. The methodology detects failures in the inter-plane vias by inputting controlled signal patterns in each sensor type on the sensor plane. The sensor/via fault distribution in turn impacts the defect avoidance in the fault tolerant TESH network, which binds both the sensors and the processors that analyze and fuse the sensor plane data. Fault tolerance in the design and fabrication of the micromachined IR bolometers is also studied.
Bit Reduction Support Vector Machine
Authors: Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen
Venue: Proceedings of the Fifth IEEE International Conference on Data Mining (2005)

Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of support vector machines on very large data sets can be very long. This paper presents a fast compression method to scale up support vector machines to large data sets. A simple bit reduction method is applied to reduce the cardinality of the data by weighting representative examples. We then develop support vector machines which may be trained on weighted data. Experiments indicate that the bit reduction support vector machine produces a significant reduction in the time required for both training and prediction with minimum loss in accuracy. It is also shown to be more accurate than random sampling, when the data is not over-compressed.
Video over IP
Authors: Wes Simpson
Venue:  (2006)

Video Over IP gives you everything you need to know to choose from among the many ways of transferring your video over a network. The information is presented in an easy to read format, with comparison charts provided to help you understand the benefits and drawbacks of different technologies for a variety of practical applications. Readers who have a background in either video or networking will benefit from tutorials in both areas and the breadth of coverage that this book provides. Real-life application examples give readers successful examples of a variety of Video over IP networks that are up and running today. After reading this book, you will be able to: -Understand the basics of video today -Understand the basics of IP networking technology -Differentiate between technologies such as streaming, download and play, and file transfer -Understand the benefits and drawbacks of a variety of video transport techniques -Know what information you need to gather about their application before selecting a Video over IP technology and before beginning an implementation
Evaluation of the Modelling of Local Areas and Errors of Localization in FRGC"05
Authors: Onur C. Hamsici, Aleix M. Martynez
Venue: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03 (2005)

We present an evaluation of a probabilistic, part-based algorithm designed at The Ohio State University. Our algorithm is robust to errors of precision made by the (automatic) face and facial feature detector and to local image changes due to, for example, expression and illumination. Our contributions include the design of a novel face and facial feature detector and the justification of the use of the Mahalanobis cosine distance. We show results on experiments 1 and 4 in the FRGC (Version 2) test/database. Our algorithm includes a new face detector that is used to demonstrate the robustness of our algorithm to small errors of localization.
Experimental Evaluation of an Augmented Reality Visualization for Directing a Car Driver's Attention
Authors: Marcus Tonnis, Christian Sandor, Christian Lange, Heiner Bubb
Venue: Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality (2005)

With recent advances of Head-up Display technology in cars, Augmented Reality becomes interesting in supporting the driving task to guide a driver's attention. We have set up an experiment to compare two different approaches to inform the driver about dangerous situations around the car. One approach used AR to visualize the source of danger in the driver's frame of reference while the other one presented information in an exocentric frame of reference. Both approaches were evaluated in user tests.
Coercion-resistant electronic elections
Authors: Ari Juels, Dario Catalano, Markus Jakobsson
Venue: Proceedings of the 2005 ACM workshop on Privacy in the electronic society (2005)

We introduce a model for electronic election schemes that involves a more powerful adversary than previous work. In particular, we allow the adversary to demand of coerced voters that they vote in a particular manner, abstain from voting, or even disclose their secret keys. We define a scheme to be coercion-resistant if it is infeasible for the adversary to determine if a coerced voter complies with the demands.A first contribution of this paper is to describe and characterize a new and strengthened adversary for coercion in elections. (In doing so, we additionally present what we believe to be the first formal security definitions for electronic elections of any type.) A second contribution is to demonstrate a protocol that is secure against this adversary. While it is clear that a strengthening of attack models is of theoretical relevance, it is important to note that our results lie close to practicality. This is true both in that we model real-life threats (such as vote-buying and vote-canceling), and in that our proposed protocol combines a fair degree of efficiency with an unusual lack of structural complexity. Furthermore, previous schemes have required use of an untappable channel throughout. Ours only carries the much more practical requirement of an anonymous channel during the casting of ballots, and an untappable channel during registration (potentially using postal mail).This extended abstract is a heavily truncated version of the full paper available at http://eprint.iacr.org/2002/165.
A New Topology for Power Control of High Efficiency Class-E Switched Mode Power Amplifier
Authors: M. M. Tabriz, N. Masoumi
Venue: Proceedings of the Fifth International Workshop on System-on-Chip for Real-Time Applications (2005)

This paper presents a new methodology for improving overall efficiency of class-E power amplifiers. Power amplifiers are designed for maximum efficiency at the highest output power, while the efficiency decreases as the output power reduces. To achieve a long battery life and block interference, output power must be controlled based on the distance between a transmitter and a receiver. This new methodology employs optimized circuit topology in power control circuit in order to have small drop in efficiency at low output power. The proposed circuit is simulated using Hspice in 0.25 pm CMOS technology as well as ADS lumped model of spiral inductors is employed. The results indicate that the efficiency reduces about 40% when the power amplifer operates at 10% of the maximum output power.