ppxscal/embedding_network huggingface dataset:
Theoretical Investigation of Time Suboptimal Control of Industrial Manipulators Along Specified Paths
Authors: Sinan Kilicaslan, Yucel Ercan
Venue: Journal of Intelligent and Robotic Systems (2007)

A method for the time suboptimal control of an industrial manipulator from an initial position and orientation to a final position and orientation as it moves along a specified path is proposed. Nonlinear system equations that describe the manipulator motion are linearized at each time step along the path. A method which gives the control inputs (joint angular velocities) for time suboptimal control of the manipulator is developed. In the formulation, joint angular velocity and acceleration limitations are also taken into consideration. A six degree of freedom elbow type manipulator is used in numerical examples to verify the method developed.
Coordination by Timers for Channel-Based Anonymous Communications
Authors: Gabriel Ciobanu, Cristian Prisacariu
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2007)

In this paper we present a new model for timed coordination of communicating distributed processes. The proposed model is an extension of the @p-calculus with locations, types, and timers. Types are used to express restricted access to distributed resources. Timers define timeouts for both communication channels and resources. We define the syntax of the model and its operational semantics and provide a few results regarding the typing system and the timers. A timed barbed bisimulation relation is defined to compare the processes. Coordination is given in two stages: by strategically assigning values to timers, and then by employing a set of additional coordination rules. The timed coordination aspects are given through a coordinator pair. It consists of a timers assigning function which can be changed dynamically, and a set of coordination rules. As an illustrating example, we relate our model with the channels of the Reo coordination model.
HTML Pattern Generator--Automatic Data Extraction from Web Pages
Authors: Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Nicolae Constantinescu, Mihai Gabroveanu
Venue: Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2006)

Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and recall values but it is difficult to apply it for large number of pages. Supervised learning involves human interaction to create positive and negative samples. Automatic techniques benefit from less human effort but they are not highly reliable regarding the information retrieved.
The Structure of a Control Network Integrated with the S-bus of an ISDN Network
Authors: Dariusz Koscielnik
Venue: Proceedings of the Sixth International Conference on Networking (2007)

This article presents an idea of integration of a control network with the S-bus of an ISDN network. The proposed solution assumes to assure a complete compatibility of the constructed system with the effective standards. The main advantage of the solution consists in an important reduction of costs related to the implementation of a field network, resulting from the utilisation of the existing wiring as well as manufactured in huge quantities transmission interfaces. Moreover, the control-monitoring system uses proven mechanisms and protocols, which guarantee its stability and reliability.
An iterative soft interference cancellation and decoding technique to mitigate the effect of home-LAN on VDSL
Authors: S. Marti, M. O. Ahmad
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 02 (2002)

The presence of home LAN constitutes a major impairment to reliable transmission in the VDSL environment. A low complex iterative soft interference cancellation and decoding technique to mitigate the effect of home-LAN on VDSL is presented. To perform soft interference cancellation, VDSL and home-LAN signals are jointly detected using a soft in soft out multiuser receiver which consists of a soft interference canceler and demodulator combined with a set of turbo decoders. The soft interference canceller uses the a priori probabilities to perform interference cancellation. The turbo decoder produces the a posteriori probabilities which are fed back to the soft interference canceller and demodulator as a priori probabilities.
A survey of document image classification: problem statement, classifier architecture and performance evaluation
Authors: Nawei Chen, Dorothea Blostein
Venue: International Journal on Document Analysis and Recognition (2007)

Document image classification is an important step in Office Automation, Digital Libraries, and other document image analysis applications. There is great diversity in document image classifiers: they differ in the problems they solve, in the use of training data to construct class models, and in the choice of document features and classification algorithms. We survey this diverse literature using three components: the problem statement, the classifier architecture, and performance evaluation. This brings to light important issues in designing a document classifier, including the definition of document classes, the choice of document features and feature representation, and the choice of classification algorithm and learning mechanism. We emphasize techniques that classify single-page typeset document images without using OCR results. Developing a general, adaptable, high-performance classifier is challenging due to the great variety of documents, the diverse criteria used to define document classes, and the ambiguity that arises due to ill-defined or fuzzy document classes.
Integrating the Internet, multimedia components, and hands-on experimentation into problem-based control education
Authors: M. S. Zywno
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

At the brink of a new millennium, a shift in pedagogy toward a learner-centered approach is emerging where critical thinking skills are fostered through problem based learning opportunities and innovative approaches to instruction and student work assessment. New media technologies are being effectively used to help achieve such goals in engineering education. The paper describes technology aided teaching of undergraduate engineering courses in control theory. Early results show that students are better motivated and their achievement improves compared to when more traditional methods of instruction are used in delivering the course content.
Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
Authors: S. Foucher, L. Gagnon
Venue: Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (2007)

We describe a video indexing system that aims at indexing large video files in relation to the presence of similar faces. The detection of near-frontal view faces is done with a cascade of weak classifier. Face tracking is done through a particle filter and generate trajectories. Face clusters are found based on a spectral clustering approach. We compare the performance of various spectral clustering techniques based on 2DPCA features. The system performance is evaluated against a public face database as well as on a real full-length feature movie.
Detecting multipath signals with the matched-lag filter
Authors: J. L. Spiesberger
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

A detection problem is considered for a single broadband source of unknown waveform and emission time. The signal travels to the receiver along multipath with unknown delays and temporal separation exceeding the inverse bandwidth of the signal. The received noise has uncertain variance. The travel times of the multipath are impractical to predict because of uncertainties in the environment. The presence or absence of the signal is estimated from the auto-correlation function. Instead of stochastically modeling the multipath in terms of their received auto-correlation function, receivers are constructed which constrain the signal-related lags in the auto-correlation function to have physically possible arrangements. For simple cases, this approach, called a matched-lag filter, yields probabilities of detection that are 1.35 times greater (for a false-alarm probability of 0.001) than conventional filters which base their decision on the signal-to-noise ratio in the autocorrelation function. 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
Design and analysis of a 3-dimensional cluster multicomputer architecture using optical interconnection for petaflop computing
Authors: Gwan Choi
Venue:  (2005)

In this dissertation, the design and analyses of an extremely scalable distributed multicomputer architecture, using optical interconnects, that has the potential to deliver in the order of petaFLOP performance is presented in detail. The design takes advantage of optical technologies, harnessing the features inherent in optics, to produce a 3D stack that implements efficiently a large, fully connected system of nodes forming a true 3D architecture. To adopt optics in large-scale multiprocessor cluster systems, efficient routing and scheduling techniques are needed. To this end, novel self-routing strategies for all-optical packet switched networks and on-line scheduling methods that can result in collision free communication and achieve real time operation in high-speed multiprocessor systems are proposed. The system is designed to allow failed/faulty nodes to stay in place without appreciable performance degradation. The approach is to develop a dynamic communication environment that will be able to effectively adapt and evolve with a high density of missing units or nodes. A joint CPU/bandwidth controller that maximizes the resource allocation in this dynamic computing environment is introduced with an objective to optimize the distributed cluster architecture, preventing performance/system degradation in the presence of failed/faulty nodes. A thorough analysis, feasibility study and description of the characteristics of a 3-Dimensional multicomputer system capable of achieving 100 teraFLOP performance is discussed in detail. Included in this dissertation is throughput analysis of the routing schemes, using methods from discrete-time queuing systems and computer simulation results for the different proposed algorithms. A prototype of the 3D architecture proposed is built and a test bed developed to obtain experimental results to further prove the feasibility of the design, validate initial assumptions, algorithms, simulations and the optimized distributed resource allocation scheme. Finally, as a prelude to further research, an efficient data routing strategy for highly scalable distributed mobile multiprocessor networks is introduced.
Modified Order-Recursive Least Squares Estimator for the Noisy OFDM Channels
Authors: Eugene Golovins, Neco Ventura
Venue: Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (2007)

In this article the new modified order-recursive least squares (MORLS) algorithm is presented for the multipath channel response estimation in the OFDM systems. The developed algorithm exhibits noticeably better performance (up to 1.4 dB) than traditional DFT-based methods due to improved noise filtering if the channel is characterised by a sparse power-delay profile. Computational complexity of the MORLS estimator is shown to be comparable with the DFTbased schemes for the channel impulse responses (CIRs) with maximum components present, whereas for the sparse CIRs or CIRs with shorter duration it reduces considerably and can potentially lower hardware power consumption.
Student noncompletion factors and targeted resource allocation: a predictive model
Authors: C. Laing
Venue: Proceedings of the Frontiers in Education Conference, 2001. 31st Annual - Volume 02 (2001)

As an increasing higher priority, United Kingdom higher education institutions are introducing strategies to reduce student noncompletion rates. However, current measures of noncompletion make no allowance for the fluid characteristics of the higher education environment. Attention must be given to the characteristics of such an environment, and how this environment influences noncompletion. It is from this perspective that a preliminary model of the teaching and learning environment has been developed. It is proposed that the underlying nature of such an environment can be captured using a grounded theory methodology and implemented as a Bayesian vector auto regression model.
Development and implementation of a new model for academic evaluation
Authors: C. Cardenas
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 02 (2000)

Finishing an engineering program with the highest academic standards, and giving a diploma certifies the graduate skills to apply pertinent knowledge to the practice of engineering. Traditionally, the way of certifying the knowledge is through isolated academic evaluations whose results are supposed to estimate the overall student performance. The necessity for predicting and diagnosing the students performance and for improving the teaching-learning processes through the use of academic evaluations, in a continuous way, is imperative in educational institutions with the commitment of continuous quality improvement. Moreover, with these results, the administration could take actions on time, especially if the institutions have defined (a requirement for graduation) to pass an academic evaluation. This document shows the academic results of the Monterrey Tech Queretaro Campus versus Monterrey Tech System (ITESM System) and CENEVAL national evaluations (National Center for Evaluation) in different curricula of electronics engineering programs. A methodology is proposed for implementing an academic adaptive evaluation system using the technological platform Lotus Notes/Learning Space. The objective is to certify the academic performance of the students when they finish their engineering studies. 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
A modular approach to speech enhancement with an application to speech coding
Authors: A. J. Accardi
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01 (1999)

Ephraim and Malah's (1984, 1985) MMSE-LSA speech enhancement algorithm, while robust and effective, is difficult to tune and adjust for the tradeoff between noise reduction and distortion. We suggest a means of generalizing this design, which allows for other estimators besides the MMSE-LSA to be used within the same supporting framework. When a modified version of Ephraim and Van Trees's (see IEEE Trans. Speech and Audio Proc., vol.3, p.251-66, 1995) spectral domain constrained signal subspace estimator is used in this manner, we obtain a system with greater flexibility and similar performance. We also explore the possibility of using different speech enhancement techniques as pre-processors for different parameter extraction modules of the IS-641 speech coder (a 7.4 kbit/s ACELP codec). We show that such a strategy can increase the quality of the coded speech and lead to a system that is more robust to differing noise types.
Tksh: a Tcl library for KornShell
Authors: Jeffrey Korn
Venue: Proceedings of the 4th conference on USENIX Tcl/Tk Workshop, 1996 - Volume 4 (1996)

This paper describes Tksh, an implementation of the Tcl C library written on top of the library for the new KornShell (ksh93). Tksh emulates the behavior of Tcl by using the API that is provided for extending ksh93, which is similar to the Tcl library in that it allows access to variables, functions and other state of the interpreter. This implementation requires no modification to ksh93, and allows Tcl libraries such as Tk to run on top of ksh93 unchanged, making it possible to use shell scripts in place of Tcl scripts. ksh93 is well suited for use with Tk because it is backward compatible with sh, making it both easy to learn and easy to extend existing scripts to provide a graphical user interface. Tksh is not yet another port of Tk to another language - it allows Tcl scripts to run without modification using the ksh93 internals. This makes it possible to combine Tcl and ksh93, which is useful for writing ksh93 scripts that use components that have been implemented in Tcl (such as Tk widgets).
Heuristic Approaches to Energy-Efficient Network Design Problem
Authors: Cigdem Sengul, Robin Kravets
Venue: Proceedings of the 27th International Conference on Distributed Computing Systems (2007)

Energy management remains a critical problem in wire- less networks since battery technology cannot keep up with rising communication expectations. Current approaches to energy conservation reduce the energy consumption of the wireless interface either for a given communication task or during idling. However, a complete solution requires min- imizing the energy spent for both communication (i.e., for data and control overhead) and idling. This problem can be expressed as an energy-efficient network design problem, which is, not surprisingly, NP-hard. Therefore, in this pa- per, we study three heuristic approaches. Our study shows that the first approach that prioritizes communication en- ergy conservation does not save energy. The second ap- proach, which tries to reduce energy used for both data and in idling, becomes cost-prohibitive due to its high control overhead. Hence, we propose a third approach that pri- oritizes idling energy conservation. Due to its low control overhead, this approach meets the challenge of operating the network with low energy cost.
A Model and Framework for Visualization Exploration
Authors: T. J. Jankun-Kelly, Kwan-Liu Ma, Michael Gertz
Venue: IEEE Transactions on Visualization and Computer Graphics (2007)

Visualization exploration is the process of extracting insight from data via interaction with visual depictions of that data. Visualization exploration is more than presentation; the interaction with both the data and its depiction is as important as the data and depiction itself. Significant visualization research has focused on the generation of visualizations (the depiction); less effort has focused on the exploratory aspects of visualization (the process). However, without formal models of the process, visualization exploration sessions cannot be fully utilized to assist users and system designers. Toward this end, we introduce the P-Set Model of Visualization Exploration for describing this process and a framework to encapsulate, share, and analyze visual explorations. In addition, systems utilizing the model and framework are more efficient as redundant exploration is avoided. Several examples drawn from visualization applications demonstrate these benefits. Taken together, the model and framework provide an effective means to exploit the information within the visual exploration process.
Evaluation of partially adaptive STAP algorithms on the Mountain Top data set
Authors: Y. Seliktar
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

In this paper we introduce a common framework for evaluating the performance of multiple weight, partially adaptive space-time adaptive processing (STAP) algorithms in terms of composite weight vectors. We then evaluate the performance of these STAP algorithms using synthetic and Mountain Top (MT) data (for airborne early warning radar) and address some limitations of high dimensional STAP algorithms in a nonstationary clutter environment. As part of the evaluation, we also familiarize the reader with the MT database and address important issues in processing the data.
Case study: supplementing program analysis with natural language analysis to improve a reverse engineering task
Authors: David Shepherd, Lori Pollock, K. Vijay-Shanker
Venue: Proceedings of the 7th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering (2007)

Software maintainers often use reverse engineering tools to aid in the extremely difficult task of understanding unfamiliar code, especially within large, complex software systems. While traditional program analysis can provide detailed information for reverse engineering, often this information is not sufficient to assist the user with high-level program understanding tasks. To bridge the gap between current reverse engineering tools and the high-level questions that software maintainers want answered, we propose supplementing traditional program analysis with natural language analysis of program source code. This paper presents a case study where we have augmented an existing reverse engineering tool, an aspect miner, to complement the existing traditional program analysis-based miner with natural language analysis of method names, class names, and comments. Our quantitative and qualitative results strongly suggest that supplementing traditional program analysis with natural language analysis is a promising approach to raising the level of effectiveness of reverse engineering tools.
A heuristic to generate all best partially disjoint paths in a communications network
Authors: A. A. Kist, R. J. Harris
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 01 (2002)

This paper considers a directed graph G(N, A) with n nodes, m directed arcs and a cost value for each arc. The synthesis of a partially link disjoint pair of paths for a given OD-pair with the minimum total cost is investigated. An algorithm is presented that solves the all-best partially disjoint path problem. The expected worst case running time of the algorithm is O(n/sup 3/). Possible applications include light path design and MPLS based traffic engineering. Partially disjoint path algorithms can also be used as intelligent alternatives to k-th shortest path algorithms.
Design of broadband dual-polarization stacked microstrip antennas for Bluetooth applications
Authors: T. S. P. See
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 02 (2002)

A novel dual-polarized stacked microstrip antenna that operates well within the ISM-band (2.402-2.4835 GHz) for Bluetooth applications is simulated and experimentally presented. The square patch of the microstrip antenna is fed diagonally by a microstrip line. Another square patch with a superstrate is stacked above the corner-fed patch to increase the operating bandwidth. The impedance and the radiation characteristics of the optimised antenna configuration are presented, having varied the sizes of the top and bottom patches and the spacing between the patches. 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