ppxscal/embedding_network huggingface dataset:
A Monitoring Service for Relational Databases to Support Advanced Data Integration on the Grid
Authors: Alexander Woehrer, Peter Brezany
Venue: Proceedings of the First International Conference on Complex, Intelligent and Software Intensive Systems (2007)

The trend of Grid computing towards more data intensive applications, accessing more and more relational databases and requiring advanced data integration, is still upstanding. Metadata information, e.g. for selection of suitable candidates among similar sources and the exclusion of not required ones, plays a vital role for efficient data integration on the Grid. However, there is a lack of service oriented monitoring tools providing this metadata for relational data sources. We stay abreast of this development and make relational databases first class citizens in Grid computing by providing a service oriented monitoring tool tailored towards them. To the best of our knowledge, no research effort has been reported on this so far. This paper presents novel usage scenarios needing additional metadata and monitoring information about relational data sources on the Grid - in the areas of query optimization, adaptive query processing and data integration management - and requirements to be fulfilled by a monitoring service providing such information. Our approach supports coarse and fine grained information about heterogeneous relational databases via a uniform interface and provides a homogeneous view on the available metadata. We have evaluated our approach by implementing a research prototype based on the Web Service Resource Framework implementation of the current Globus Toolkit. The functionality and performance of the prototype is demonstrated for commonly used relational databases such as MySQL, PostgreSQL and Oracle.
Secure short-cut routing for mobile IP
Authors: Trevor Blackwell, Kee Chan, Koling Chang, Thomas Charuhas, James Gwertzman, Brad Karp, H. T. Kung, W. David Li, Dong Lin, Robert Morris, Robert Polansky, Diane Tang, Cliff Young, John Zao
Venue: Proceedings of the USENIX Summer 1994 Technical Conference on USENIX Summer 1994 Technical Conference - Volume 1 (1994)

This paper describes the architecture and implementation of a mobile IP system. It allows mobile hosts to roam between cells implemented with 2-Mbps radio base stations, while maintaining Internet connectivity. The system is being developed as part of a course on wireless networks at Harvard and has been operational since March 1994. The architecture scales well, both geographically and in the number of mobile hosts supported. It supports secure short-cut routing to mobile hosts using the existing Internet routing system without change. The implementation demonstrates a robust, low complexity realization of the architecture, and provides trade-off opportunities between efficiency and cost. Measured performance of the mobile system is generally excellent. The system can handle a high rate of location updates, and routes packets almost as efficiently for mobile hosts as the Internet does for stationary hosts. We observe reasonable TCP behavior during hand-offs.
Evaluation of P2P-Based Internet Measurement System on Loss Tolerance to Measurement Results
Authors: Atsushi Tagami, Teruyuki Hasegawa, Shigehiro Ano, Toru Hasegawa
Venue: Proceedings of the 2007 International Symposium on Applications and the Internet Workshops (2007)

Network tomography enables network operators to detect and mitigate congestion by inferring internal states from multiple end-to-end active performance measurements. In previous studies, we proposed a novel architecture to develop P2P-based measurement system that scales with the nationwide Internet. One of the key features is low-overhead data management method where measurement results are piggybacked onto measurements themselves. However this feature leads to the loss of measurement results, which may cause inference accuracy to decline. In this paper, we estimate the proposed architecture from the viewpoint of tolerance to packet losses. Our simulation results show that the architecture can infer congested segments with satisfactory accuracy even if 1% of links in a network are congested.
A practical model for the development of Web based interactive courses
Authors: K. Baas
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

Web based courses are very important for distance education, the core business of the authors' university. Hence, they developed a model for the design of attractive and motivating web courses, which is easy to use and learn, and independent of browser and composing tool. The model presents learning atoms in consecutive steps on the screen, using interaction, images, audio, exercises and feedback, but little text per step. The learning material itself is entered in separate documents, following strict guidelines on grouping and naming. After uploading to the web, accompanying software shows the documents in the mainframe of a three frames structure. Another frame contains an automatically generated tree menu for navigation. Problem solutions and a glossary appear in the third frame. The model supports seamless integration of Web and CD-ROM, personal student notes, feedback forms, external links and multimedia. The model is currently used for the development of new courses and the experiences are encouraging.
A Compiler Based Leakage Reduction Technique by Power-Gating Functional Units in Embedded Microprocessors
Authors: Soumyaroop Roy, Srinivas Katkoori, Nagarajan Ranganathan
Venue: Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems (2007)

Effective power-gating involves deactivating idle functional units for sustained periods incurring little or no performance degradation. Accurate prediction of long idle periods is essential, which, in turn, depends on the application program characteristics. We propose a compiler-based leakage reduction technique for embedded architectures by exploiting the well-known attributes of embedded applications, namely, small code size and intensive loops. From the control flow graph (CFG) representation of the source program, we construct a forest of loop hierarchy trees (LHTs), which capture the nesting loop properties of the program. As an LHT satisfies the partial ordering on the loop nesting, we exploit this property to identify maximal subgraphs (of functional unit idleness) in the original program. For each subgraph so found, a sleep instruction is introduced at the entry point of the corresponding code segement, thus optimizing the number of sleep instructions. The sleep instruction has one operand, a bit-vector comprised of ON/OFF control bits for all functional units in the data path. Our target architecture is a modified ARMprocessor model comprising of functional units with power-gating ability. We obtained 34% average leakage energy reduction for 12 benchmarks chosen from the MiBench suite.
A robust and real-time texture analysis system using a distributed workstation cluster
Authors: J. You
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

This paper presents a parallel approach to the development of a real-time system for recognition of textured objects. In order to find an efficient and effective approach to identify and localize objects in textured images invariant of translation, rotation and scale changes and occlusion, we propose a new method which involves dynamic texture feature extraction and hierarchical image matching. Based on our previous work, we extend the concept of interesting points and develop a dynamic detection procedure on texture energy image which is in conjunction with Laws' texture energy concept and our mask tuning scheme. The search for the best fit between two objects in terms of Hausdorff distance is guided through an interesting point pyramid from coarse level to fine level. In addition, unlike current approaches which mostly rely on specialized multiprocessor architectures for fast processing, we use a distributed workstation cluster to support parallelism, which provides a different approach to real-time computing and is applicable to many classes of tasks.
Rescuing Small and Medium-Sized Enterprises from Inefficient Information Systems--A Multi-disciplinary Method for ERP System Requirements Engineering
Authors: Inka Vilpola, Ilkka Kouri, Kaisa Vaananen-Vainio-Mattila
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Enterprise resource planning (ERP) systems integrate companies' multiple information systems and help adapt best practices for business processes. ERP systems are in most cases off-the-shelf software packages and large by their size and complex by their structure. Small and medium-sized enterprises (SMEs) require flexibility of the ERP system because of their individual operational processes. Therefore it is crucial to select and implement an ERP system that fits the requirements of the intended target processes. To support the requirements engineering of ERP systems, we have developed Customer-Centered ERP Implementation (C-CEI) method. The method introduces a multi-disciplinary approach to the ERP project, and provides in-depth understanding of the company"s processes and context of use. Using C-CEI method decreases the risk of SMEs to select an inappropriate system, and improves the system acceptance by the customer company's employees. In this paper we present the method and illustrate it by three SME case studies.
Integrating engineering and technology into a core curriculum
Authors: B. P. Butz
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

Temple University has a core curriculum in which science and technology is a component. The university requires each of its students to select two courses in science and technology from a list of approved courses. Four years ago the Electrical and Computer Engineering Department began to offer a menu of engineering and technology courses to the student body as part of the science and technology component of the core. These courses have been taught on three of Temple's campuses and are available to every student in the university. This paper presents the rationale that led the department faculty to make such a major commitment of its intellectual resources. Also described are the courses that have been offered and how they have been accepted by the student body at large. Lessons learned from our experiences are presented as well as what is hoped to be achieved in the future. 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
From Theory to Practice in Distributed Component Systems
Authors: Denis Caromel
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2007)

This paper summarizes the keynote talk given at FACS'06, Formal Aspect of Component Systems, Prague, September 2006. The paper provides both an overview and a perspective of the papers cited in the reference. To achieve effective distributed components, we rely on an active object model, from which we build asynchronous and distributed components that feature various valuable properties. We will emphasize how important it is to rely on a precise and formal programming model, and how practical component systems can benefits from theoretical inputs.
Speaker-centric score normalisation and time pattern analysis for continuous speaker verification
Authors: R. Auckenthaler
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02 (2000)

In this paper we introduce the concept of a continuous speaker verification system in a mobile phone environment. The system verifies the speaker during the phone call. We discuss speaker-centric score normalisation and time pattern analysis which extends a speaker verification system to allow continuous verification. Experiments showed that speaker-centric score normalisation improved performance. Moreover, it standardises the target score distribution to allow the accurate prediction of miss probabilities. The performance evaluation of time pattern analysis revealed an impostor locking of 95% while the target speakers remained unlocked.
Variant Bayesian Networks
Authors: Peng Qingsong, Zhang Ming, Wu Weimin, Wang Ronggui
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

The Bayesian networks can express the joint probabilistic distribution compactly between variables and can express the conditionally independence conveniently. The joint probabilistic influence from the parents to their child can be got from the Bayesian network structure however parents are not necessarily have common influence to their child, which are called by the name of causal influence independence other than conditional independence. The causal influence independence extension model of Bayesian networks presented can have wider meaning than traditional Bayesian networks, which is more applicable and easier to understand.
Split band LPC based adaptive multi-rate GSM candidate
Authors: S. Villette
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01 (1999)

The European Telecommunications Standards Institute (ETSI) has launched a competition for a new mobile communications standard designed to provide better performance than the current GSM standard. This standard is to be called AMR for adaptive multi-rate: the source and channel coding rates can be adapted depending on the state of the channel, thus providing optimal balance between them at any time. The University of Surrey has submitted a candidate for this competition through the Mobile VCE. This candidate was the only one amongst eleven to use a vocoder in the half-rate GSM channel instead of a CELP based coder. The testing which took place as part of the first stage of the competition has shown that this candidate was among the best. This paper presents the system submitted for the half-rate channel as well as the results of the testing.
Medical Image Processing in Collaboration with Medical Researchers--Imaging and Image Processing of Cardiovascular Disease Dynamic Images
Authors: Naozo Sugimoto, Hiroshi Imamura, Hiroyuki Sekiguchi, Shigeru Eiho
Venue: Proceedings of the Second International Conference on Informatics Research for Development of Knowledge Society Infrastructure (2007)

We have been developing a lot of medical image applications in collaboration with medical researchers during the COE program period. In this article, we will introduce three of our applications briefly. Title of each topics are, "Image based retrospective cardiac gating and spatio temporal image mosaicing of CAG", "Myocardial perfusion mesurrements from CAG", and "Registration of preoperative 3-D CT with intraoperative fluoroscopic 2-D image sequnce". All these topics are related to dynamic image processing of cardiovascular disease images.
Multi-stage adaptive predistortion of HPA saturation effects for digital television transmission
Authors: J. T. Stonick
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

This paper presents a new structure for adaptive predistortion of the memoryless, nonlinear saturation effects caused by high power amplifiers (HPA). Timely compensation for HPA distortions is critical for cost-effective prevention of the cliff effect during terrestrial transmission of digital broadcast television. The new structure results from a two-stage approach: The forward model is identified first from measured data, and then the inverse to the forward model is computed. Replacing the analog system by the HPA forward model in the second stage eliminates measurement noise and analog system delays, resulting in faster adaptation and less solution bias. Additionally, block processing reduces noise in the forward modeling stage. In the inverse modeling stage, the use of synthetic data and a closed form expression for the gradient result in more efficient convergence and more accurate solutions. Simulation results using measured HPA data demonstrate an average 5 dB improvement in SINAD for standard SNR operating ranges.
Software development for safety-related systems
Authors: Josef Borcsok, Sebastian Schaefer
Venue: Proceedings of the Second International Conference on Systems (2007)

Safety-related systems mostly comprise hardware and software solutions. Due to the increasing application of complex hardware and software systems, the software systems have to be considered regarding safety as well as hardware systems. The development of a safety-related software system is similar to the development of a safety-related hardware systems. But there are still no generally accepted methods for developing safety-critical software. One has to use the methods, which fit best to the actual requirements. However, the calculation of reliability and availability for safety-related software systems is far more complex.
A data-driven knowledge acquisition method based on system uncertainty
Authors: Jim Zhao, Guo-Yin Wang
Venue: Proceedings of the Fourth IEEE International Conference on Cognitive Informatics (2005)

Data-driven knowledge acquiring approach is characterized by and hence advantageous for its unnecessity of prior domain knowledge. Therefore, it is very possible for its, induced results to express the potential characteristics and patterns of decision information systems more objectively. Data-driven knowledge acquiring process can be effectively conducted by system uncertainty since uncertainty is an intrinsic common feature of and an essential link between decision information systems and their induced rule-like knowledge systems. Obviously, the effectiveness of such a data-driven knowledge acquiring framework depends heavily on whether system uncertainly can be measured reasonably and precisely. To find a suitable measure method for system uncertainty, various uncertainty measurements based on rough set theory are studied. Their algebraic characteristics and quantitative relations are disclosed. Their performances are comprehensively studied and compared. Then, a new data-driven knowledge acquiring algorithm is developed based on the optimal method for measuring system uncertainty and the algorithm of Professor Skowron for mining default decision rules. Results of simulation experiments illustrate that the proposed algorithm obviously outperforms other similar algorithms.
Abstraction and refinement techniques in automated design debugging
Authors: Sean Safarpour, Andreas Veneris
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

Verification is a major bottleneck in the VLSI design flow with the tasks of error detection, error localization, and error correction consuming up to 70% of the overall design effort. This work proposes a departure from conventional debugging techniques by introducing abstraction and refinement during error localization. Under this new framework, existing debugging techniques can handle large designs with long counter-examples yet remain run time and memory efficient. Experiments on benchmark and industrial designs confirm the effectiveness of the proposed framework and encourage further development of abstraction and refinement methodologies for existing debugging techniques.
A multiresolution model for image interpolation with adaptive filtering
Authors: F. A. C. M. Cardoso
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

This paper proposes an image interpolation model based on a multiresolution scheme. The method uses two different known image resolutions to establish a mapping between them. The mapping is then used to extrapolate the unknown resolution to produce an expanded image with increased definition and with a mean square reconstruction error lower than for the conventional methods. In other words, details in a high resolution image are implicitly predicted based only on its low-frequency resolutions. A high subjective quality is obtained due to the similar nature of the mappings, which are constructed by means of an adaptive bidimensional FIR filter.
Discriminative reranking for semantic parsing
Authors: Ruifang Ge Raymond, J. Mooney
Venue: Proceedings of the COLING/ACL on Main conference poster sessions (2006)

Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by using discriminative reranking, which explores arbitrary global features. In this paper, we investigate discriminative reranking upon a baseline semantic parser, SCISSOR, where the composition of meaning representations is guided by syntax. We examine if features used for syntactic parsing can be adapted for semantic parsing by creating similar semantic features based on the mapping between syntax and semantics. We report experimental results on two real applications, an interpreter for coaching instructions in robotic soccer and a natural-language database interface. The results show that reranking can improve the performance on the coaching interpreter, but not on the database interface.
Minitrack: Emergency Response Systems
Authors: Tung X. Bui, Murray Turoff, Bartel Van de Walle
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

This minitrack deals with any aspect of the analysis, design, development, deployment, operation, or evaluation of emergency response systems (ERS). In particular, it seeks to encourage research on three areas that are pertinent to ERS: (i) tools, functionality, and/or interface the system that provide to human users involved with emergency and crisis response; (ii) requirements for this environment and/or the impact or relationship of such systems to the behavior of the individuals or organizations involved, and (iii) the underlying technology or hardware of computers, networks, sensors, mobile devices and their improvements in such areas as throughput, accuracy, and security.
ODQPSK non-coherent reception
Authors: E. Frantzeskakis
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

This paper is concerned with a novel high performance non-coherent receiver structure for offset differential QPSK modulation. This structure accepts as input a complex baseband signal sampled at twice the transmission bit rate, evaluates the differential phase of this complex signal and performs simultaneous soft differential decoding, inter-symbol interference suppression and decision making. Employing a properly trained Viterbi algorithm, the proposed receiver structure achieves a 2 dB improvement on the SNR-BER curve over the ones of previously known structures and it approaches closely the performance of the coherent demodulation. This receiver structure is particularly attractive for TDMA wireless communications since it performs considerably better than /spl pi//4-DQPSK and it maintains the advantage of close-constant envelop. VLSI implementation issues and the role of the proposed structure on low power transceiver design are briefly discussed.
Fast Simulation of Laplacian Growth
Authors: Theodore Kim, Jason Sewall, Avneesh Sud, Ming C. Lin
Venue: IEEE Computer Graphics and Applications (2007)

Laplacian instability is the physical mechanism driving pattern formation in many disparate natural phenomena. Current algorithms for simulating this instability are slow and memory intensive. A new algorithm, based on the dielectric breakdown model from physics, is more than three orders of magnitude faster than previous methods and decreases memory use by two orders of magnitude.