ppxscal/embedding_network huggingface dataset:
On Teaching Mobile Databases and Information Systems
Authors: Hagen Hopfner, Keiichi Nakata
Venue: Proceedings of the 24th British National Conference on Databases (2007)

It is always a challenge to prepare lectures, student projects and assignments for courses on active research topics. However, in order to make a study program more attractive to the students and at the same time to support research, offering such courses is an attractive undertaking. Mobile databases and information systems form a research area that is insufficiently covered in courses at most universities. In this paper we present our approach for teaching mobile databases and information systems in an MSc Computer Science program.
Maximum likelihood successive state splitting
Authors: H. Singer
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

Modeling contextual variations of phones is widely accepted as an important aspect of a continuous speech recognition system, and much research has been devoted to finding robust models of context for HMM systems. In particular, decision tree clustering has been used to tie output distributions across pre-defined states, and successive state splitting (SSS) has been used to define parsimonious HMM topologies. We describe a new HMM design algorithm, called maximum likelihood successive state splitting (ML-SSS), that combines advantages of both these approaches. Specifically, an HMM topology is designed using a greedy search for the best temporal and contextual splits using a constrained EM algorithm. In Japanese phone recognition experiments, ML-SSS shows recognition performance gains and training cost reduction over SSS under several training conditions.
Integration of student presentations into advanced classes
Authors: R. A. Malkin
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

Almost all practising engineers must, at one time or another orally present their work to their peers. Although separate classes in public speaking are frequently provided-or even required-for engineering students, they often do not provide ample opportunity to focus on the unique skills required for technical presentations. At the City College of New York, we have begun a project to integrate student presentations into a sequence of three advanced undergraduate classes in engineering. We discuss the educational objectives of the project. 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
Rapid prototyping of DSP chip-sets via functional reuse
Authors: M. S. B. Romdhane
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

This paper proposes a novel design methodology and environment for digital signal processing application-specific integrated circuits (DSP-ASICs). The design methodology is based on systematic functional reuse. A library defines basic functional blocks that are automatically reused over multiple DSP applications. The defined design approach is utilized to rapidly prototype high performance DSP applications. A comparison with conventional ASIC and FPGA design, shows that the proposed approach bridges the gap between ASICs and FPGAs by offering high performance, low cost, and a short time-to-market.
A Business Process Engine Based E-Government Platform
Authors: Peter Salhofer, David Ferbas
Venue: Proceedings of the Second International Conference on Internet and Web Applications and Services (2007)

The City of Graz is one of the leading cities in the field of e- Government in Austria. It has developed an integrated e- Government platform that can provide uniform access to almost any kind of public service. In order to achieve the goals to provide unified access to virtually every single service and to minimize the effort necessary to bring new services online the City has developed an integrated e- Government Platform based on the utilization of an open source business process engine as the central controller. This paper describes the decision making process that had led to this architecture as well as key aspects of this system.
Switched Lightpaths for e-Health Applications: Issues and Challenges
Authors: Lee Momtahan, Sharon Lloyd, Andrew Simpson
Venue: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems (2007)

The Exploitation of Switched Lightpaths for e-Science Applications (ESLEA) project is evaluating the feasibility of using switched lightpath networks to support various e-Science applications. This feasibility is being investigated via case studies, one of which pertains to the use of such networks to support distributed healthcare research and delivery. In this paper we consider some of the issues associated with the use of switched lightpath networks in this context. Despite the fact that much of the discussion is necessarily focused on the situation in the UK, many of the issues will be relevant to the wider community.
Increasing the deducibility in CNF instances for efficient SAT-based bounded model checking
Authors: V. C. Vimjam, M. S. Hsiao
Venue: Proceedings of the High-Level Design Validation and Test Workshop, 2005. on Tenth IEEE International (2005)

In this paper, we propose low-cost static deduction techniques by combining binary resolution and static logic implications to efficiently extract invariant relations from a gate-level netlist. We show that processing our techniques across the circuit nodes helps us to learn highly nontrivial relations. All the relations learned in a user-defined finite window are then quickly replicated over the entire bound for BMC. These powerful relations, when added as new constraint clauses to the original formula, help to significantly increase the deductive power for the SAT engine, thereby pruning a larger portion of the search space. Experimental results on ISCAS89 and ITC99 benchmarks show that more than an order of magnitude performance improvement can be obtained using the proposed learning techniques.
Alpha-stable robust modeling of background noise for enhanced sound source localization
Authors: P. G. Georgiou
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

In this paper we address the problem of sound source localization in the presence of impulsive noise for application in immersive telepresence and teleconferencing. Traditional Gaussian modeling of noise signals fails when the signals exhibit impulsive behaviour. A new model is used, namely the symmetric /spl alpha/-stable (S/spl alpha/S), which can better account for the outliers that exist in real-world signals. Real data is used to compare the performance of both the Gaussian and the /spl alpha/-stable models. We demonstrate that the astable model gives a much better approximation to the noise signal than the Gaussian model. Furthermore, we study the problem of time delay estimation (TDE) and we demonstrate the shortcomings of TDE techniques based on second-order statistics when the noise is of S/spl alpha/S nature. We propose an alternative to second-order based methods, based on fractional lower-order statistics, and demonstrate the achieved improvement via simulation experiments.
Co-Modeling Methodology Designed for RT Architecture Models Integration
Authors: Isabelle Perseil, Laurent Pautet
Venue: Proceedings of the 12th IEEE International Conference on Engineering Complex Computer Systems (2007)

Architecture models are built in parallel with applicative models, all along the development process. Since they equally refer to software and hardware components in which they are implemented, these models call for more heterogeneous design languages, with a larger granularity range too. At the level of design and verification languages, some standards have risen up, like UML, AADL, but none of them is driven by a standard methodology. To be able to follow the requirements traceability, at each step of the life cycle, we need a methodology that states for bidirectional links between each granularity level and each development level. In this article, we propose an approach based on systematic reuse of low-level concepts (borrowed from an algorithm language like +CAL and a programming language like Ada) into encapsulated algorithm structures which are implemented into the highest conceptual levels of development (e.g. from the UML and AADL component models). These structures are only activated and enriched as they advanced with the life cycle. Therefore, some new concepts presents from the beginning of the design, will play an important role in the further development steps without being explicitly expressed from the beginning.
Joint estimation of DOA and time-delay in underwater localization
Authors: Qunfei Zhang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

Joint estimation of direction of arrival (DOA) and time-delay plays a great role in source localization, which attracts many researchers not only in the areas of radar, sonar, geological exploration but also in wireless communication. M. Wax (see IEEE Trans. on SP, vol.45, no.10, p.2477-84, 1997) applies approximate MLE with iteration algorithm, which convert a 2-D search into two or three 1-D search. A.J. van der Veen (see IEEE Trans. on SP, vol.46, no.2, p.405-18, 1998) use 2-D ESPRIT to conduct joint estimation. Both of them show good performance at a cost of large computation. Both of them require deconvolution in the frequency domain to transfer time-delay into phase. The deconvolution lends to two problems. One is blowing up noise, the other is leading to spurious peak if the emitted signal is non-minimum phase. In this paper, a simple method using 1-D ESPRIT is presented to complete joint estimation of DOA and time-delay, which requires no deconvolution. It is suitable for active underwater localization where a non-minimum phase signal is frequently employed. The method can estimate parameters of three reflectors with big difference between amplitudes as large as 12 dB. The statistical performance of new estimators and the probability of correct pairing are given by computer simulations. It shows that better performance of the new method can be achieved for multiple source localization even in low SNR.
Software engineering education should be presented as: A. Science B. Engineering C. Technology D. All of the above E. None of the above, other
Authors: J. E. Diaz-Herrera
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

For many, the software engineering profession is still viewed as immature. The authors contend that a major problem has to do with the current educational model(s) for software. Most computer science graduates pursue careers in software development/software engineering. Only recently, a few B.S. in Software Engineering programs began their existence. Analyses of several of these programs reveal a lack of coherent design. Some are housed in an engineering school and have the 'flavor' of engineering but lack enough emphasis on software engineering core. Some are housed on traditional CS departments, have a strong CS component with a few SwE courses, and no engineering focus. What is the right "mix"? Which of the existing BSSwE programs can be accredited? What educational model will most likely help produce a professional software engineer? Science? Engineering? Technology? This paper addresses these and other related topics and controversial issues.
Computationally efficient 2-D spectral estimation
Authors: S. Jakobsson
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

We present an efficient implementation of the 2-D amplitude spectrum capon (ASC) estimator, denoted the 2-D Burg-based ASC (BASC) estimator. The algorithm, which will depend only on the (forward) linear prediction matrices and the (forward) prediction error covariance matrices, can be implemented using the 2-D fast Fourier transform. To compute the needed prediction matrices, we make use of a recently proposed 2-D lattice algorithm, which computes the linear prediction matrices directly from the multichannel data without first computing the autocorrelation sequence.
Efficient Line Search Methods for Convex Functions
Authors: Edgar den Boef, Dick den Hertog
Venue: SIAM Journal on Optimization (2007)

In this paper we propose two new line search methods for convex functions. These new methods exploit the convexity property of the function, contrary to existing methods. The first method is an improved version of the golden section method. For the second method it is proven that after two evaluations the objective gap is at least halved. The practical efficiency of the methods is shown by applying our methods to a real-life bus and buffer size optimization problem and to several classes of convex functions.
Prato: Databases on Demand
Authors: Soila Pertet, Priya Narasimhan, John Wilkes, Jay J. Wylie
Venue: Proceedings of the Fourth International Conference on Autonomic Computing (2007)

Database configuration can be a daunting task as database administrators are often presented with a myriad of configuration options that are difficult to sift through. Prato, a project at HP Labs, is a prototype of a self-managing DBMS service provider that eases this burden by using economic incentives to guide automated DBMS setup and management. Prato offers customers private, virtual, DBMS appliances that can each be sized up to several hundred nodes, and made available on demand, in just a few minutes.
Scheduling data-intensive bags of tasks in P2P grids with bittorrent-enabled data distribution
Authors: Cyril Briquet, Xavier Dalem, Sébastien Jodogne, Pierre-Arnoul de Marneffe
Venue: Proceedings of the second workshop on Use of P2P, GRID and agents for the development of content networks (2007)

Scheduling Data-Intensive Bags of Tasks in P2P Grids leads to transfers of large input data files, which cause delays in completion times. We propose to combine several existing technologies and patterns to perform efficient data-aware scheduling: (1) use of the BitTorrent P2P file sharing protocol to transfer data, (2) data caching on computational Resources, (3) use of a data-aware Resource selection scheduling algorithm similar to Storage Affinity, (4) a new Task selection scheduling algorithm (Temporal Tasks Grouping), based on the temporally grouped scheduling of Tasks sharing input data files. Data replication is also discusse. The proposed approach does not need an overlay network or Predictive Communications Ordering, making our operational implementation of a P2P Grid middleware easily deployable in unstructured P2P networks. Experiments show that performance gains are achieved by combining BitTorrent, caching, Storage Affinity and Temporal Tasks Grouping. This work can be summarized as combining P2P Grid computing and P2P data transfer technologies.
Network AD HOC Routing Algorithm: An Application with Bluetooth
Authors: Oscar Guerra, Moises Sanchez-Adame
Venue: Proceedings of the 17th International Conference on Electronics, Communications and Computers (2007)

In this work the Ad Hoc on Demand Distance Vector (AODV) routing algorithm is implemented on a Bluetooth based wireless network. The experimental results show that it is possible to create a commercial application which can be used in many scenarios to solve practical problems.
Integration and Application Platform of Service-Oriented Telecom Businesses
Authors: Weifeng Lv, Jianchu Kang, Wei Chen, Ran Lei
Venue: Proceedings of the Fourth European Conference on Universal Multiservice Networks (2007)

At present, the telecom operational enterprises are faced with the problems of how to integrate the existed OSS systems to meet the clients' demands quickly and how to provide end-to-end business services with fewer costs. To achieve these, some new IT methods and technologies are needed by telecom operational enterprises so as to support the operation managements better and make a good collaboration among the telecom service providers, equipment vendors, sales/marketing departments and clients. This paper presents a new service-oriented analysis and design method for the telecom business integration procedures, and provides a common integration platform with Service-Oriented Architecture to support the integration and execution of various heterogeneous legacy OSS systems in a manner of service-oriented business processes.
Remarks on the second neighborhood problem
Authors: D. Fidler, R. Yuster
Venue: Journal of Graph Theory (2007)

The second neighborhood conjecture of Seymour asserts that for any orientation G = (V,E), there exists a vertex &upsi; &isin; V so that |N+(&upsi;)| &le; |N++(&upsi;)|. The conjecture was resolved by Fisher for tournaments. In this article, we prove the second neighborhood conjecture for several additional classes of dense orientations. We also prove some approximation results, and reduce an asymptotic version of the conjecture to a finite case. &copy; 2007 Wiley Periodicals, Inc. J Graph Theory 55: 208&ndash;220, 2007
Partition tree for a segmentation-based video coding system
Authors: M. Pardas
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

In this paper we describe a very low bit rate video coding system that belongs to the class of object based coding systems. The system takes advantage of homogeneity in both gray level and motion, trying to use the most adequate criterion for defining a partition in order to obtain the best compromise between cost and quality. In order to do so, multiple partitions are generated for every image in a hierarchical way, from the coarsest one to the finest one. Then, a decision step will chose which parts of the image need to be coded with regions from one partition or from another. The aim of the paper is to study the features that this multiple partition must have, and propose a way to create it.
The Social Structure of Tagging Internet Video on del.icio.us
Authors: John C. Paolillo, Shashikant Penumarthy
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

The ability to tag resources with uncontrolled metadata or "folksonomies" is often characterized as one of the central features of "Web 2.0" applications. Folksonomies are said to support emergent classification, where the semantic value of the tags and their relation to one another is worked out through a negotiated process of users applying their selected tags and seeing what others have tagged the same way. Few studies exist to show how folksonomic tagging is actually done, and to what extent users share each other's tagging patterns. In this paper, we present the results of a social network analysis of two months worth of tagging Internet video on the social bookmarking system del.icio.us. The analysis reveals that specific videos are tagged in fairly coherent ways by a relatively tight group of users. However, contrary to our expectations, there does not appear to be much re-use of tags across different content, or even very many users tagging more than a few similar items. Overwhelmingly, specific clusters of tags and users are associated with individual video links. This result suggests that tagging bookmarks is highly local, and the overall collection of tags is unlikely to result in a coherent globally navigable classification system.
Overcoming Robotic Failures through Autonomicity
Authors: Christopher Rouff, James Rash, Walter Truszkowski
Venue: Proceedings of the Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (2007)

NASA is pursing ever increasing autonomous systems to perform new science and exploration. These missions will be out of contact with mission control for extended periods of time in very harsh and unforgiving environments. To successfully perform these missions autonomously, they will have to have autonomic properties. There have been recent studies of failures of robotic systems that examine how robots are failing in the field. By studying the types of failures that are occurring in robots autonomic properties can be developed for not only robots but for NASA autonomous missions to make them more robust. This paper examines the failures that were identified in a study of robot failures and maps them on to some autonomic properties that would address these failures. By classifying the failures and then mapping them to autonomic properties, classes of autonomic properties can be developed that can then be specialized for each particular mission.
Information technology and the welfare cost of anticipated inflation
Authors: Thomas E. Cone
Venue: Computational Economics (2007)

I numerically study inflation's welfare cost in a model in which there are two ways of mediating trade: money and information technology (IT), a probabilistically updated public record of agents' histories. I find that a higher updating probability either brings the incentive-constrained output closer to its unconstrained value, or triggers the abandonment of money. In the first case the higher updating probability induces both higher inflation and a lower welfare cost of inflation. In the second case, welfare is higher than with the lower updating probability, but inflation's welfare cost measured in a standard way is also higher.
A scalable loop optimization approach for scalable DSP processors
Authors: Jian Wang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

This paper proposes the possibility of reuse of the existing optimized DSP code on a scalable high-performance VLIW DSP processor. Since loops are the critical paths in most DSP applications, we focus on issues related to loop optimization. In our approach, we first perform a loop alignment transformation on the source level; we then reuse the existing optimized loop code on the assembly level. The approach is highly portable because it is independent of DSP hardware details. It can be used directly by a DSP programmer on the source level and/or by a DSP compiler designer to implement independent optimization modules.
Building knowledge networks through project-based online learning: A study of developing critical thinking skills via reusable learning objects
Authors: Gulsun Kurubacak
Venue: Computers in Human Behavior (2007)

The main purpose of this paper is to explore and discuss the main characteristics of project-based online learning (PBOL) to promote learners' critical learning skills through reusable learning objects (RLOs) from global online resources. Based on the main purpose of this study and the concerns, the key research inquiries are: (1) How does a PBOL environment improve the learners' critical thinking skills via RLOs? (2) What are the patterns of the learners' critical thinking skills in a PBOL environment when they focus on building and delivering RLOs? and (3) What are the learning impacts and communicational outcomes of a PBOL environment on the learners' critical thinking skills when they work with RLOs? This is a qualitative case study that utilizes both qualitative and quantitative data to provide detailed information to the researcher for the data collection. The research site was the Designing and Delivering an E-Learning Environment graduate course at the Department of Distance Education of Social Sciences Institute in the large urban and government-based University in the Spring Semester 2004. There were totally 11 learners (three of them were men and the rest of them were women) in this course.