ppxscal/embedding_network huggingface dataset:
Understanding Hidden Information Security Threats: The Vulnerability Black Market
Authors: Jaziar Radianti, Jose J. Gonzalez
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

It has been discovered recently that there is a "black market" for software vulnerabilities. Criminals and terrorists can launch exploits toward organizations before system administrators have had a chance to apply a corrective patch. To counteract this threat, software vendors and security companies have been establishing a legitimate market for software vulnerabilities; they offer rewards for software bugs reported. To explain the basic traits of this phenomenon, we develop a system dynamics model showing the growth of the vulnerability black market. A simple conceptual model is developed and some simulations using the model are implemented to learn whether the attempt to legalize the vulnerability market helps to reduce the vulnerability information circulating in the black market.
Signals and systems: a consistent, unified approach
Authors: J. P. Havlicek
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 02 (2000)

We address two problems associated with the traditional approach to teaching a junior level course in signals and systems. First, students are expected to develop a facility with a variety of transforms and we have observed that this overwhelms many, reducing them to simply memorizing equations. Second, the usual treatment of Dirac's delta as a function not only leads to serious contradictions with the standard calculus, but also leaves intractable schisms surrounding the transforms of important harmonic functions. We present a unified and consistent approach designed to ameliorate these problems using abstract linear algebra and distribution theory. The approach was implemented for four semesters and exit surveys were conducted to assess pedagogical effectiveness.
Soccer RoBot Toy within an Educational Enviro
Authors: Peter James Vial, Giancarlos Serafini, Ibrahim Raad
Venue: Proceedings of the The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning (2007)

Many autonomous robotic systems exist which are operated using battery powered subsystems. These systems typically suffer from short battery life, due in some part to the weight of the battery required to power them and the need for regular battery changes or recharges. This makes continuous operation difficult, which is desired for an embedded internet system. A novel solution proposed here is to use a power cage in lieu of a battery, and limit the area the robot can traverse to the dimension of the cage. A prototype of such a system has been designed and successfully tested. The goal of this prototype system is to play a primitive form of Soccer using two SoccerBots under a remote interface controlled by two humans, a ping pong ball and a suitable sized power cage. Preliminary testing indicates that the system is feasible and relatively inexpensive.
A model to promote the study of engineering through a capstone course for pre service secondary science and mathematics teachers
Authors: M. Robinson
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

The US is trying to maintain its competitive edge among industrial nations by training a sufficient number of engineers. However, the number of trained individuals graduating from US colleges does not meet our current and projected needs. In addition, the number of females and minority graduates with engineering degrees is unacceptably low and the attrition rate in engineering programs is unacceptably high. The causes include: (i) the inadequate preparation of our high school graduates, (ii) unfavorable attitudes toward engineering and other science based careers, (iii) the absence of continuity in the transition from high school to college, and (iv) teacher-centered teaching methods in engineering programs. Some additional preparation for secondary science and mathematics teachers as well as high school courses that are more friendly to engineering and technology would address the first three above perceived causes. The use of more student-directed instruction might address the fourth perceived cause. To this end, it is suggested that colleges of engineering and education collaborate to develop capstone courses for secondary science and mathematics pre-service and in-service teachers. To our knowledge, no model has been proposed to design capstone engineering courses that train pre-service and in-service secondary science and mathematics teachers in engineering principles, practice, design, and problem solving skills. The authors describe a new capstone course.
Evaluation of the performance of backpropagation and radial basis function neural networks in predicting the drill flank wear
Authors: Saurabh Garg, Surjya K. Pal, Debabrata Chakraborty
Venue: Neural Computing and Applications (2007)

This study compares the performance of backpropagation neural network (BPNN) and radial basis function network (RBFN) in predicting the flank wear of high speed steel drill bits for drilling holes on mild steel and copper work pieces. The validation of the methodology is carried out following a series of experiments performed over a wide range of cutting conditions in which the effect of various process parameters, such as drill diameter, feed-rate, spindle speed, etc. on drill wear has been considered. Subsequently, the data, divided suitably into training and testing samples, have been used to effectively train both the backpropagation and radial basis function neural networks, and the individual performance of the two networks is then analyzed. It is observed that the performance of the RBFN fails to match that of the BPNN when the network complexity and the amount of data available are the constraining factors. However, when a simpler training procedure and reduced computational times are required, then RBFN is the preferred choice.
Fusible Data Structures for Fault-Tolerance
Authors: Vijay K. Garg, Vinit Ogale
Venue: Proceedings of the 27th International Conference on Distributed Computing Systems (2007)

We introduce the concept of fusible data structures to maintain fault-tolerant data in distributed programs. Given a fusible data structure, it is possible to combine a set of such structures into a single fused structure, that is smaller than the combined size of the original structures. When any of the original data structures is updated, the fused structure can be updated incrementally using local information about the update and does not need to be entirely recomputed. In case of a failure, the fused structure, along with the correct original data structures, can be used to efficiently reconstruct the failed structure. We show that many commonly used data structures like arrays, hash tables, stacks and queues are fusible and we present algorithms to fuse and recover such structures. This approach often requires significantly less space than conventional backups by replication and still allows efficient operations on the original data structures. For example, our experiments on a distributed system suggests that for a system with k servers, this approach requires k times less space than replication based techniques.
A Visualization Tool to convey Quantitative in vivo, 3D Knee Joint Kinematics
Authors: Andrea R. Seisler, Frances T. Sheehan
Venue: Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop (2006)

The overall goal of the virtual functional anatomy (VFA) project is to fill the important knowledge gap that exists in the relationship between functional movement limitations and impaired joint structure or function. Thus, a set of imaging-based post-processing tools is under development to enable dynamic and static magnetic resonance image (MRI) data to be merged. These tools will provide accurate quantification and visualization of 3D static and dynamic properties of musculoskeletal anatomy (i.e. skeletal kinematics, tendon and ligament strain, muscle force, cartilage contact). The current focus is to apply the six-degree of freedom joint kinematics to subject specific models and to quantify dynamic musculoskeletal properties, such as tendon moment arm, muscle moment arms, joint cartilage contact and tendon strain. To date, these tools have been used to study joint function of healthy and impaired (e.g. Cerebral Palsy, ACL rupture and patellar tracking syndrome) joint structures under simulated conditions experienced during activities of daily living.
A new technique to filter reduction for speech signal processing systems
Authors: Luowen Li
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

In many applications, one needs to approximate a filter of very high order with that of lower order. To reduce the order of the filter, some techniques such as the balanced model reduction approach are often applied. In this paper, we introduce a new technique which is based on minimizing the H/sub 2/-norm between the filter of very high order and the reduced one. This technique shows much better performance than other existing model reduction methods and is applied to estimating the vocal tract filter for speech processing systems. A speech processing example is presented to demonstrate the design procedure and the performance of the proposed algorithm.
A Model-Driven Framework for Managing the QoS of Collaborative P2P Service-Based Applications
Authors: Michele Angelaccio, Andrea D'Ambrogio
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

Distributed and collaborative applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application results from the composition of a set of services in execution on networked server hosts. In this context, a major challenge for collaborative businesses and application service providers is to provide services with high levels of QoS to geographically dislocated consumers. In order to enable better QoS, service providers may employ overlay networks to bring applications closer to their consumers, overcoming slow backbone paths, network congestions and physical latencies. This paper introduces a model-driven QoS management framework that provides both a standard (UML-based) notation to describe QoS-aware collaborative P2P service-based applications and a method for adaptive QoS management based on the automated building of performance models.
The Global Feasibility and Schedulability of General Task Models on Multiprocessor Platforms
Authors: Nathan Fisher, Sanjoy Baruah
Venue: Proceedings of the 19th Euromicro Conference on Real-Time Systems (2007)

Feasibility analysis determines (prior to system execution-time) whether a specified collection of hard-real-time jobs executed on a processing platform can meet all deadlines. In this paper, we derive near-optimal sufficient tests for determining whether a given collection of jobs can feasibly meet all deadlines upon a specified multiprocessor platform assuming job migration is permitted. These tests are general enough to be applied even when the collection of jobs is incompletely specified. We discuss the applicability of these tests to the scheduling of collections of jobs that are generated by systems of recurrent real-time tasks. We also show that our feasibility conditions may be used to obtain global-EDF schedulability conditions.
Picturing signals [electrical engineering education]
Authors: R. E. Yantorno
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 01 (1998)

The challenge of engineering educators is to prepare engineering students for their careers as practicing engineers. To that end, educators should have some idea about what tools engineering students will need, and how they should go about using those tools to solve some of the problems that they will encounter in industry. Those tools are qualitative analysis and visual thinking. To enhance the visual thinking of engineering students, new teaching approaches have been introduced into the classical "signals and systems" junior electrical engineering course. This involves the use of visual problem solving, graphical analysis and solution prediction prior to the students starting to do any calculations. Collaborative work is encouraged and required, with students working together to redo quizzes and tests as well as taking in-class quizzes in teams. This was done for two reasons. The first was to help the student learn the course material. The second was to utilize another method to help them improve their right-brain thinking skills. It should be noted that there are a number of right-brain thinking skills but the two that are relevant to this paper are visual thinking and interpersonal skills. One of the left-brain thinking skills is associated with the traditional engineering education approach, i.e., mathematics.
The role of industry-inspired projects in engineering education
Authors: O. Gol
Venue: Proceedings of the Frontiers in Education Conference, 2001. 31st Annual - Volume 02 (2001)

This paper elaborates on the practice of using industry-inspired final year projects in the programs offered in the School of Electrical and Information Engineering at the University of South Australia. Several examples of current projects are discussed. Students compete for participation in such projects; they perceive these to have high relevance to industry requirements, and their career choice and development prospects in addition to providing documented substantiation for potential employment, particularly with a participating industry partner. Selection of project members is merit-based, which enhances the value of the experience in the eyes of competing students.
Integer to integer mapping wavelet filter bank with adaptive number of zero moments
Authors: D. Sersic
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

An efficient realization of a two-channel wavelet filter bank that maps integers to integers with an adaptive number of zero moments is presented. Filters with more zero moments result in a better representation of the smooth parts of the analyzed signal, while fewer zero moments are better for transients and singularities. The proposed realization is based on the lifting scheme that enables mapping integer signals to integer wavelet coefficients, preserving the perfect reconstruction property. The realization is derived from a method of fixed wavelet filter bank design, using Lagrange interpolation of samples in the time domain. The adaptation criterion is computed from integer wavelet coefficients, which is, under some restrictions, reproducible on the reconstruction side. Quantization introduces non-predictable components of the wavelet coefficients thus influencing the behavior of the adaptation algorithm. Adaptation on the interval is used to reduce the variance of the filter parameters. 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
Wireless Sensor Network for Intravenous Dripping Systems
Authors: U. Bilbao, P. Bustamante, N. Guarretxena, J. Santo Domingo
Venue: Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications (2007)

Nowadays the use of wireless technologies provides a great benefit to the society. This article shows a wireless sensor network for Intravenous Dripping System, which can detect when an intravenous liquid, provided to patients in hospitals, run out, as well as detecting obstructions in the catheter. This way, the attention in sanitary centers is more efficient and immediate, as the observation of the state of the container will not need human supervision. The work displayed in this article is still being developed within the framework of INTEK projects founded by the Basque Government, in cooperation with Atica Innovation.
Q-Automata: Modelling the Resource Usage of Concurrent Components
Authors: Tom Chothia, Jetty Kleijn
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2007)

Q-automata are introduced to model quality aspects of component-based software. We propose Q-algebras as a general framework that allows us to combine and choose between quality values. Such values are added to the transitions of automata, which represent components or channels. These automata can be composed by a product construction yielding a more complex Q-automaton labelled with the combined costs of its components. Thus we establish compositionality of quality of service based on an algebra of quality attributes associated with processes represented by automata.
Fast adaptive IIR-MLP neural networks for signal processing applications
Authors: P. Campolucci
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06 (1996)

Neural networks with internal temporal dynamics can be applied to non-linear DSP problems. The classical fully connected recurrent architectures, can be replaced by less complex neural networks, based on the well known multilayer perceptron (MLP) where the temporal dynamics is modelled by replacing each synapses either with an FIR filter or with an IIR filter. A general learning algorithm (back-propagation-through-time or BPTT) for a dynamic neural MLP has been introduced by P.J. Werbos (1990). This is a non-causal algorithm, being able to work only in batch mode, while many real problems require on-line adaptation. In this paper we show a new on-line learning algorithm for the IIR-MLP networks which is an approximation of the true BPTT and which includes, as a particular case, the already known Back and Tsoi (1991) algorithm. Several computer simulations of identification of dynamical systems are also reported.
A security protocol providing QoS in ATM networks
Authors: F. Schlake, C. Ruland
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 02 (2002)

ATM networks are not more or less secure than other networks, but the demand for secure communications is increasing. The ATM forum has defined the Security Specifications using the Three-Way and Two-Way Security Message Exchange Protocols (SME) to support the negotiation and establishment of security services, mechanisms and other parameters needed for a secure connection. Different security mechanisms may degrade the guaranteed QoS through additional delays, error propagations and throughput limitations. The purpose of this paper is to overcome these negative influences of security operations on QoS. A new Three-Way SME/spl I.bar/Q Protocol is introduced. It provides the simultaneous capability of implementing required security services, while still offering the user requested QoS parameters during an ATM connection. The Three-Way SME/spl I.bar/Q protocol calculates and considers the impact of the security operations on the QoS parameters. This way, only security mechanisms are chosen, which fit into the QoS range requested.
Navigation and local path planning of mobile robots with real-time map-building
Authors: Atsushi Fujimori, Takafumi Murakoshi, Yoshinao Ogawa
Venue: Integrated Computer-Aided Engineering (2004)

This paper presents a navigation technique for a sonar-equipped mobile robot in which the local map is built in real-time and is used for local path planning. The mobile robot is navigated to the goal by the proposed technique even in the complicated environments in which the robot is often trapped in a deadlock by using a reactive technique. The obtained local map can be used to build and/or update the global map of the environment. It is used to plan a desirable path for the next run. In navigation experiments using a commercial mobile robot named Pioneer-1, the proposed technique with map-building was effective in several environments, especially in complicated environments compared to a reactive navigation technique without map-building. Furthermore, The proposed navigation technique was also effective even if an unknown obstacle was placed in the environment; that is, in dynamic environments.
Robust and flexible h.264 video streaming techniques
Authors: C.-C. Jay Kuo
Venue:  (2006)

Digital video streaming is finding a much broader range of applications nowadays. The quality of these applications is challenged by the inevitable transmission errors in most existing communication channels. At the same time, transmitted video stream may need to be adjusted due to changes in network conditions or user interactions. The objective of this research to design robust and flexible video coding and transmission mechanisms in order to improve the error resilience performance of compressed video stream, and to enable flexible bit stream adjustments. We propose two different error resilient video coding and transmission schemes for H.264 video streaming applications. The first method aims to eliminate or largely reduce error propagation for off-line H.264 encoders based on a concept called "alternative macroblock coding (AMC)". The AMC scheme utilizes alternative coding and bit stream replacement to stop error propagation. Two different methods to create alternative predictions are proposed to encode the alternative macroblocks efficiently. The experimental results show that the proposed method is able to largely reduce error propagation without introducing large bit rate overhead. Another more general error resilient video coding scheme utilizing multi-path predictive coding is proposed. Two different methods to calculate the expected decoder distortion are also proposed in order to evaluate the error resilience performance of different predictions. An adaptive reference frame selection scheme is designed to incorporate this measurement into the mode decision process. It is shown by experimental results that the encoded stream has a much better error resilience performance by using the proposed scheme without large degradation of the compression efficiency. We propose the use of difference pictures to compensate mismatches introduced by the bit stream adjustments so as to preserve the quality level of the received video. The difference pictures can be encoded efficiently so that they will not introduce large bit rate overhead. Experimental results show that the proposed methods outperform existing ones significantly in terms of preserving the compression efficiency of compressed stream. The flexibility of video streaming applications can be greatly enhanced by using the proposed methods.
One Improved IPSec Protocol Supporting Multicast Communication
Authors: Mei Song, Zhitang Li
Venue: Proceedings of the Second International Conference on Digital Telecommunications (2007)

The paper first discusses the popular applications such as remote video at present and the process of multicast communication. Then, based on the analysis of IPSec VPN protocol architecture, it is illustrated why IPSec VPN can't integrate well with multicast tunnel, and a small-scale multicast application over improved IPSec protocol is proposed including its structure and procedure. To verify the model and the protocol, the software FreeSWAN is improved for designing and realizing it, environmental testing and data analysis are also carried out after the realization of the prototype system.