ppxscal/embedding_network huggingface dataset:
Symbolic signal processing
Authors: D. H. Johnson
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

Symbolic signals are, in discrete-time, sequences of quantities that do not assume numeric values. In the most general case, these quantities have no mathematical structure other than that they are members of some set, but they can have a sequential structure. The authors show that processing such signals does not entail mapping them directly to the integers, which would impose more structure-ordering and arithmetic-than present in the data. The authors describe how linear estimation and prediction can be performed on symbolic sequences. They show how spectrograms can be computed from neural population responses and from DNA sequences.
Exploitation of Multivalued Type Proximity for Symbolic Feature Selection
Authors: Bapu B. Kiranagi, D. S. Guru, Manabu Ichino
Venue: Proceedings of the International Conference on Computing: Theory and Applications (2007)

In this paper, a simple and efficient feature selection scheme for symbolic data is proposed. The proposed scheme exploits the symbolic multivalued proximity measures for feature selection. The effectiveness of the proposed scheme has been demonstrated through experiments on standard symbolic data sets.
Fostering educational innovation at the level of individual professionals in K-12: a case study
Authors: C. B. Muller
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

Many recent programs have tackled the challenge of reforming American precollege science and mathematics education. What makes some of these initiatives more effective and successful than others? This paper offers a case study of one reform effort which sponsors an annual summer short course to introduce high school science and math teachers to engineering problem solving. The paper focuses on the impact of the program in teachers' classrooms and discusses some program characteristics which have contributed to its success.
Incremental Trust in Grid Computing
Authors: Michael Brinklov, Robin Sharp
Venue: Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (2007)

This paper describes a comparative simulation study of some incremental trust and reputation algorithms for handling behavioural trust in large distributed systems. Two types of reputation algorithm (based on discrete and Bayesian evaluation of ratings) and two ways of combining direct trust and reputation (discrete combination and combination based on fuzzy logic) are considered. The various combinations of these methods are evaluated from the point of view of their ability to respond to changes in behaviour and the ease with which suitable parameters for the algorithms can be found in the context of Grid systems.
Network applications on modern computer architectures
Authors: Jean-Luc Gaudiot
Venue:  (2007)

Network processors are specialized integrated circuits to process packets in the network equipments. Internet traffic is continuing to double each year since 1997. All emerging network applications are computation-intensive. As network applications are becoming more sophisticated and internet traffic is getting heavier, future network processors must continue processing computation-intensive network applications at line rates. Most programmable network processors on the market today target low performance. However, low cost edge routers will find it hard to cope with the forthcoming sophistication of network applications to be processed at line rates. Hence, new architectures could be designed for the programmable network processors of the future. The goal of this dissertation is to evaluate the applicability and efficiency of the Simultaneous MultiThreaded (SMT) and the Chip MultiProcessor (CMP) as a network processor. The SMT model inherently allows the multiple parallel threads which must be dealt with in network applications. We investigate the architectural implications of network applications on the SMT architecture. We demonstrate that, when executed as independent threads, applications chosen from the different network layers show an improved IPC and cache behavior than applications chosen from the same network application. The average IPC of three applications chosen from the different network layers is 3.18 which is an increase of 21% over the same three applications and of 93% over the execution of one thread. Finally, a new architectural solution to cope with packet dependency is presented and evaluated. The performance of proposed packet dependency solution is competitive since IPC is slightly decreased. CMPs allow relatively simple single-thread processor cores to exploit multiple threads and achieve very high clock rates due to low design complexity. Further, CMPs can efficiently reduce overall power consumption while maintaining high overall performance by increasing the number of processor cores and reducing the clock rate of single-thread processors. We investigate the architectural implications of cache coherence protocols on CMP with network workloads. The result shows that the token protocol, which uses the tokens to control read/write permission of shared data blocks, shows better performance than the directory protocol by 13.4%.
A Generalized Bitonic Sorting Network
Authors: Kathy J. Liszka, Kenneth E. Batcher
Venue: Proceedings of the 1993 International Conference on Parallel Processing - Volume 01 (1993)

The bitonic sorting network will sort N-2^m keys in O(log^2N) time with 0(Nlog^2N) comparators. Developments on the sorter enable the network to sort N-pq keys, a composite number. However, there has been no general method for sorting a bitonic sequence of N keys, N a prime, or N a composite that decomposes into primes larger than 3. The oddmerge method removes this constraint while maintaining the same cost and delay, using a uniform and efficient decomposition.
Viewstation applications: intelligent video processing over a broadband local area network
Authors: Christopher J. Lindblad, David J. Wetherall, William F. Stasior, Joel F. Adam, Henry H. Houh, Mike Ismert, David R. Bacher, Brent M. Phillips, David L. Tennenhouse
Venue: Proceedings of the High-Speed Networking Symposium on USENIX 1994 High-Speed Networking Symposium (1994)

This paper describes applications built on the ViewStation, a distributed multimedia system based on Unix workstations and a gigabit per second local area network. A key tenet of the ViewStation project is the delivery of media data not just to the desktop but all the way to the application program We have written applications that directly process live video to provide more responsive human-computer interaction. We have also developed applications to explore the potential of media processing to support content-based retrieval of pre-recorded television broadcasts. These applications perform intelligent processing on video, as well as straightforward presentation. They demonstrate the utility of network based multimedia systems that deliver audio and video data all the way to the application. The network requirements of the applications are a combination of bursty transfers and periodic packet-trains.
Object-oriented components for high-speed network programming
Authors: Douglas C. Schmidt, Tim Harrison, Ehab Al-Shaer
Venue: Proceedings of the USENIX Conference on Object-Oriented Technologies on USENIX Conference on Object-Oriented Technologies (COOTS) (1995)

This paper makes two contributions to the development and evaluation of object-oriented communication software. First, it reports performance results from benchmarking several network programming mechanisms (such as sockets and CORBA) on Ethernet and ATM networks. These results illustrate that developers of bandwidth-intensive and delay-sensitive applications (such as interactive medical imaging or teleconferencing) must evaluate their performance requirements and the efficiency of their communication infrastructure carefully before adopting a distributed object solution. Second, the paper describes the software architecture and design principles of the ACE object-oriented network programming components. These components encapsulate UNIX and Windows NT network programming interfaces (such as sockets, TLI, and named pipes) with C++ wrappers. Developers of object-oriented communication software have traditionally had to choose between high-performance, lower-level interfaces provided by sockets or TLI or less efficient, higher-level interfaces provided by communication frameworks like CORBA or DCE. ACE represents a midpoint in the solution space by improving the correctness, programming simplicity, portability, and reusability of performance-sensitive communication software.
Organizing the OCA: learning faceted subjects from a library of digital books
Authors: David Mimno, Andrew McCallum
Venue: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries (2007)

Large scale library digitization projects such as the Open Content Alliance are producing vast quantities of text, but little has been done to organize this data. Subject headings inherited from card catalogs are useful but limited, while full-text indexing is most appropriate for readers who already know exactly what they want. Statistical topic models provide a complementary function. These models can identify semantically coherent "topics" that are easily recognizable and meaningful to humans, but they have been too computationally intensive to run on library-scale corpora. This paper presents DCM-LDA, a topic model based on Dirichlet Compound Multinomial distributions. This model is simultaneously better able to represent observed properties of text and more scalable to extremely large text collections. We train individual topic models for each book based on the cooccurrence of words within pages. We then cluster topics across books. The resulting topical clusters can be interpreted as subject facets, allowing readers to browse the topics of a collection quickly, find relevant books using topically expanded keyword searches, and explore topical relationships between books. We demonstrate this method finding topics on a corpus of 1.49 billion words from 42,000 books in less than 20 hours, and it easily could scale well beyond this.
Data adaptive constant false alarm rate normalizer design for active sonar and radar
Authors: D. W. Tufts
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

We present a method for estimating threshold values for signal detection and classification systems in which a prescribed value of false alarm probability is needed. The threshold values are determined directly from observed test statistic data without knowledge of the probability distribution of the data. Our method uses the concept of tolerance intervals from nonparametric statistics.
Secure Grid Information Service System
Authors: Hongbin Cai, Fan Min, Qihe Liu, Chunlan Fang
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2007)

A Grid Information Service (GIS) stores information about the resources of a distributed computing environment and answers questions about it. Currently, no enough attention has been devoted to the security issue. We are developing SecureGIS, a new GIS pattern combining digital certificate with Universal Description, Discovery, and Integration (UDDI) and Role-Based Access Control (RBAC) technologies. SecureGIS checks user identity, confirms the authenticity of service information and ensures the privacy of private and/or secret grid services. Furthermore, since UDDI is adopted, grid service and web service information can be stored and managed in a unified manner.
Forecasting the CATS benchmark with the Double Vector Quantization method
Authors: Geoffroy Simon, John A. Lee, Marie Cottrell, Michel Verleysen
Venue: Neurocomputing (2007)

The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CATS competition data set. An analysis of the proposed time series is provided to estimate the dimension of the auto-regressive part of this nonlinear auto-regressive forecasting method. Based on this analysis experimental results using the DVQ method are presented and discussed. As one of the features of the DVQ method is its ability to predict scalars as well as vectors of values, the number of iterative predictions needed to reach the prediction horizon is further observed. The method stability for the long term allows obtaining reliable values for a rather long-term forecasting horizon.
Quality in distance education
Authors: G. Davies
Venue: Proceedings of the Frontiers in Education Conference, 2001. 31st Annual - Volume 02 (2001)

The discussion last year at the annual convention of the American Federation of Teachers and the subsequent resolution that was passed highlights the concern felt by many about the quality of distance education programs. There are many who feel that the quality of the teaching, the support that students receive and the information provided to students is not as good in a distance education environment as in a conventional face-to-face situation. The panelists come from varying backgrounds, coming from a variety of academic institutions and industry. The panelists will explain how quality is assured at their institutions and claim that students who do learn at a distance receive as good an education as those in the face-to-face environment. Evidence to justify the claim will be produced. Factors such as the cost of the provision and the scalability of the operation are factors that will also be discussed.
System Health in Locally Autonomic Radio-Telescopes
Authors: Martijn van Veelen
Venue: Proceedings of the Third International Conference on Autonomic and Autonomous Systems (2007)

The extreme sensitivity and flexibility of the LOFAR radio telescope is achieved through a large reception area (10,000-1,000,000 m2), wideband (0.2-4GHz) signal processing and digital beam forming. The trend towards more local autonomy and resource sharing in the infrastructure and on-line real-time distributed calibration provides conditions for emergent behavior. However, scientific instruments need to be dependable and highly accurate. Hence potential undesirable emergent behavior must be controlled. The paper discusses computational intelligence to achieve early detection of emergent behavior. Locally autonomous computing will then validate the instrument stability based on a solid design theory from a consistent combination of non-deterministic models of computation, exact dynamic instrument models, and data-driven system health.
An intelligent method to block e-mail bombs
Authors: Fengming M. Chang
Venue: Applied Intelligence (2007)

It is hard to block e-mail bombs because they are usually sent by normal SMTP (Simple Mail Transfer Protocol) applications with fake mail sender addresses and IP addresses. Fortunately, original network packets contain real IP address information anyway. Collecting and analyzing these packet contents can help an administrator to realize where the e-mail bombs are coming from and block them. This article presents a simple method that uses a bandwidth manager device to collect and analyze packets to get e-mail bombs information as well as to block e-mail bomb source IP addresses in routers. In practical application experiences at the computer center in a university, this method blocked e-mail bombs simply and effectively. Furthermore, a fuzzy inference system was also designed to help identify e-mail bombs. Its fuzzy membership functions could be adapted using the fuzzy neural network learning method. In brief, the proposed method affords an automatic and adaptable alarm to find e-mail bombs.
Adapting the UCON_ABC Usage Control Policies on CORBASec Infrastructure
Authors: Lau Cheuk Lung, Marcelo Shinji Higashiyama, Rafael R. Obelheiro, Joni da Silva Fraga
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 01 (2007)

The JaCoWeb-ABC infrastructure is an extension of the CORBASec specification that applies the UCON_ABC access control model to its security layer. JaCoWeb- ABC defines configurable access controls that deploy authorization, obligation and condition policies. These security policies can be defined in two different manners. The first one is totally transparent to applications, for cases where JaCoWeb-ABC has all the necessary information for the access decision process, and the second one works together with applications, in cases where security controls depend on external information that must be supplied by the application. Combining these two functionalities allows for a much more accurate and strict control over the actions of users within a system, making it possible to block access in case inappropriate behavior is identified.
IMS service enhancement layer: A quantitative value proposition: Research Articles
Authors: Ying Hu, Amit Mukhopadhyay, Zulfiquar Sayeed, Carlos Urrutia-Valdés, Mohamed El-Sayed
Venue: Bell Labs Technical Journal (2007)

A key advantage of the IP Multimedia Subsystem (IMS) is that it promotes the development of innovative multimedia services. Alcatel-Lucent's service enhancement layer is an improvement to the standard IMS core implementation, having functional elements for service coordination, data integration, and policy enablement. This layer is instrumental in enhancing the IMS core capabilities through mediation of service interactions, data consolidation and federation, and knowledge of user state and preferences, and thus personalization of services offered over diverse network elements. Elements in this layer are key differentiators for Alcatel-Lucent against the competition. Several papers have been written to describe the elements in this layer from a feature and functionality viewpoint. In this paper, we capture the quantitative value of this layer, from the perspective of an operator. We present a technoeconomic analysis for an IMS-enabled &ldquo;blended lifestyle&rdquo; implementation of selected services, comparing the results for implementation with and without the service enhancement layer. &copy; 2007 Alcatel-Lucent.
Hierarchical Optimization of the Parallel FDTD Computations Based on the Macro Data Flow Graph Paradigm
Authors: Adam Smyk, M. Tudruj
Venue: Proceedings of the Sixth International Symposium on Parallel and Distributed Computing (2007)

A new algorithm for an optimized design of the FDTD (Finite Difference Time Domain) computations involved in simulations of electromagnetic wave propagation in irregular areas is presented in the paper. Computational programs are represented as macro data flow graphs (MDFG) which are to be partitioned and assigned to processors for optimal parallel execution. The proposed hierarchical optimization is based on two steps. The first step consists of a computation cell redeployment algorithm in irregular meshes where optimization is performed in three main phases: generation of an initial MDFG based on wave propagation area partitioning, MDFG nodes merging with load balancing to obtain given number of macro nodes and communication optimization to minimize and balance inter-node data transmissions. The second step is a connectivity-based distributed node clustering which creates an optimized MDFG. The hierarchical algorithm combines both methods to speedup parallel execution of the FDTD computations and to reduce the execution time of the optimization algorithm.
From ERP to Advanced Resource Planning: Improving Operational Performance by Getting the Inputs Right
Authors: Liesje De Boeck, Nico Vandaele, Marc Lambrecht
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

In this paper, we show that the planning and decision support capabilities of the MPC (Manufacturing Planning and Control) system, which forms the core of any ERP package, may be greatly enhanced by including an Advanced Resource Planning (ARP) module as an add-on at the midterm planning level. This ARP module enables to estimate the impact of variability, complexity and dynamic system behavior on key planning parameters. As such, it yields realistic information both for short-term planning purposes and for reliable lead time quotations. We show how dynamic behavior impacts the operational performance of a manufacturing system, and discuss the framework for incorporating the ARP module into the ERP system.
Theoretical aspects of power reduction for adaptive filters
Authors: R. Gupta
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

Adaptive filters are used in a number of applications, many of which can benefit from a reduction in power. In this paper we present derivations of the approximate expressions used for the increase in mean square error of the LMS adaptive algorithm when the total processing power is decreased.
Discriminative training of GMM for speaker identification
Authors: C. M. del Alamo
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01 (1996)

We describe a novel discriminative training procedure for a Gaussian mixture model (GMM) speaker identification system. The proposal is based on the segmental generalized probabilistic descent (GPD) algorithm formulated to estimate the GMM parameters. Two major innovations over similar formulations of segmental GPD training are proposed. (1) A misclassification measure based on an individual representation of competing speakers, that explicitly allows to take into account different learning strategies for correctly or incorrectly classified speakers. (2) An empirical loss function to control the training procedure convergence, with a likelihood-based selection of correctly or incorrectly classified competing speakers. A comparison between the proposed method and the traditional GPD algorithm is also presented.
Modeling the Functionality of Multi-Functional Software Systems
Authors: Alexander Gruler, Alexander Harhurin, Judith Hartmann
Venue: Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (2007)

Today, many software-based, reactive systems offer a multitude of functionality. One way to master the development of such a system is to model its functionality on an abstract level and derive a system architecture and an implementation out of this functionality model. In this paper, we present an approach to model the functionality by means of related, interacting services. For us, a service represents an single functionality of a system. The concept of services is used in two consecutive model layers with well-defined semantics leading from a black-box description of the system to a white-box model which consists of communicating services. Due to the precise semantics of a service and the interaction of services, the service models can be directly refined to a logical component architecture which in turn integrates into the development of a concrete implementation of the overall system.