ppxscal/embedding_network huggingface dataset:
Stop pushing educational technology-pull
Authors: M. J. Kelly
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

The school environment has not changed significantly since the middle ages. The next century, however, will see schools and education radically redefined in response to information technology. Computers can provide whole new dimensions to learning. The focus needs to change from how to teach the same things better to what needs to be learned. The educational system needs to change so that teachers become the facilitators of learning not just the deliverers. Pushing technology into the schools without first preparing the teachers to accept technology may actually result in a continuation of the culture of technology rejection. Technology will continue to proliferate, but the educational system will continue to resist its introduction until the school personnel accept the need. At that point, the teachers will begin the process of "product pull"-requesting learning technology because it is needed rather than having it thrust upon them. A cooperative program, using college students as "learning technologists" to assist teachers in the classroom, is recommended as a cost effective way of reducing the resistance to learning technology. It is the "product pull" paradigm that will lead to successful reorientation of the educational process from "chalk and talk" to active learning. When the educational environment has changed from teacher focused delivery to student focused active learning, the process of continuous learning will have been effectively instituted.
A data quality metamodel extension to CWM
Authors: Pedro Gomes, José Farinha, Maria José Trigueiros
Venue: Proceedings of the fourth Asia-Pacific conference on Comceptual modelling - Volume 67 (2007)

The importance of metadata has been broadly referred in the last years, mainly in the field of data warehousing and decision support systems. Contemporarily, in the adjacent field of data quality, several approaches and tools have been set out for the purpose of data profiling and cleaning. However, little effort has been made in order to formally specify metrics and techniques for data quality in a structured way. As a matter of fact, little relevance has been assigned to metadata regarding data quality and data cleaning issues. This paper aims at filling this gap, proposing a conceptual metamodel for data quality and cleaning, both applicable to operational and data warehousing contexts. The presented metadata model is integrated with OMG's CWM, offering a possible extension of this standard toward data quality.
Assessment measures to enhance teaching and curriculum effectiveness
Authors: C. M. Saviz
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

Academic instruction, advising, and curricular effectiveness measures can be enhanced by use of thorough and specific assessment methods that identify and quanta strengths and weaknesses. A series of detailed evaluation surveys were developed at the University of the Pacific's School of Engineering to facilitate processes of course, curricular, and advising assessment,. The forms have been administered to assess instructors' effectiveness in and outside the classroom, to evaluate each course and laboratory, to evaluate academic advising, and for each student to evaluate his or her own academic and professional development. The evaluation forms were administered by faculty at the end of Spring, Summer, and Fall 2000 semesters and have been reviewed, and where necessary, refined, based on faculty and student feedback. Faculty have noted the usefulness of specific measures, and where appropriate, have implemented changes in courses and/or teaching methods.
Some fixed point theorems in fuzzy normed linear spaces
Authors: T. Bag, S. K. Samanta
Venue: Information Sciences: an International Journal (2007)

In this paper, the concepts of sectional fuzzy continuous mappings, l-fuzzy compact sets, asymptotic fuzzy normal structure and strong uniformly convex fuzzy normed linear spaces have been introduced. Schauder-type and other fixed point theorems have been established in fuzzy normed linear spaces.
RSIP: address sharing with end-to-end security
Authors: Michael S. Borella, Gabriel E. Montenegro
Venue: Proceedings of the Workshop on Intelligence at the Network Edge (2000)

Realm Specific IP (RSIP) is a new architecture under consideration in the Internet Engineering Task Force (IETF) that can potentially alleviate some of the problems associated with partitioning of the Internet address space due to, for example, the shortage of IPv4 addresses. It is being positioned as a replacement for Network Address Translation (NAT), because, among other things, it can support end-to-end security via IPsec, which NAT cannot. This paper introduces the motivation behind RSIP, the RSIP architecture, and provides a basic overview of the RSIP protocol.
Topology Design of Optical Networks Based on Existing Power Grids
Authors: Areeyata Sripetch, Poompat Saengudomlert
Venue: Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (2007)

In a power grid used to distribute electricity, optical fibers can be inserted inside overhead ground wires to form an optical network infrastructure for data communications. We consider the problem of topology design for such a network. To solve the problem, we modify existing methods for topology designs to take into account the topology limitation imposed by an existing power grid. For the design, we adopt a two-level hierarchical architecture consisting of a central backbone connecting multiple access networks. We separate the design into two steps. First, we select the concentrator or backbone nodes and their node members by solving a modified version of the well-known concentrator location problem. Second, we find the connections among concentrators subject to the two-connectivity constraint on the backbone topology. Selection and connection of concentrators are done using integer linear programming (ILP). To reduce the amount of computations involved, as an intermediate step, we provide a method for simplifying of the power grid graph to reduce the problem size for the second step. We solve and present some numerical results for a randomly generated 30-node power grid topology. Key words: topology design, power grids.
Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU
Authors: Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle
Venue: Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services (2007)

Most modern computers are equipped with powerful yet cost-effective Graphics Processing Units (GPUs) to accelerate graphics operations. Although programmable shaders on these GPUs were designed for the creation of 3-D rendering effects, they can also be used as generic processing units for vector data. This paper proposes a hardware renderer capable of executing motion compensation, reconstruction, and visualization entirely on the GPU by the use of vertex and pixel shaders. Our measurements show that a speedup of 297% can be achieved by relying on the processing power of the GPU, relative to the CPU. As an example, real-time playback of high-definition video (1080p) was achieved at 62.0 frames per second, consuming only 68.2% of all CPU cycles on a modern machine.
A calculus retention program for students at risk in engineering
Authors: B. G. Hart, T. L. Holloman, C. A. O'Connor
Venue: Proceedings of the Frontiers in Education Conference on 1995. Proceedings., 1995 vol 1. - Volume 01 (1995)

Historically, calculus has served as a filter in many engineering schools. However, this entry level mathematics requirement is filtering far more than those who are not capable intellectually. This has become a national concern, and is the main thrust behind the calculus reform currently taking place in the mathematics community. During the 1994 spring semester, three faculty members at the University of Louisville's Speed Scientific School (the engineering school) initiated a pilot program whose main goal was to deepen students' understanding of the material in calculus. Additionally, the program was designed to create a more friendly environment in which to learn mathematics and help increase the retention rate of the engineering students. To address these goals, a group of African American and female students was recruited to work in small groups on problems related to the material being covered in calculus each week. These sessions utilized the Uri Treisman collaborative learning model currently in use at several other universities, with some modifications for this particular situation. The pilot program was fairly successful, and the effort continued with students during the summer and fall 1994 terms. The paper outlines the essential elements of this cooperative learning program, describes the modifications made over the year and discusses its successes and failures. An analysis is presented comparing students who had no or little participation in the program with students who attended the program regularly.
A Distortion Optimal Rate Allocation Algorithm for Transmission of Embedded Bitstreams over Noisy Channels
Authors: Amir H. Banihashemi, Ahmad Hatam
Venue: Proceedings of the 2007 Data Compression Conference (2007)

Embedded bitstreams are generated by many source coders to allow the progressive reconstruction of the source at different bit rates from the prefixes of a single bitstream. In a packet transmission system, such bitstreams are packetized and transmitted over noisy channels. As part of packetization, an error correction coding scheme is often used to protect the packets against channel errors. It is well-known that the unequal error protection (UEP) of the packets usually results in a better end-to-end performance for the joint source-channel coding scheme compared to the less sophisticated equal error protection. Given a sequence of channel codes, the distortion-rate function of the source coder, and the channel conditions, the problem of assigning channel codes of different rates to different source packets under a constraint on the total bit budget or the total transmission rate is called rate allocation problem. Well-known cost functions for such an optimization problem are the average mean squared error (MSE) distortion, the average peak signal-to-noise-ratio (PSNR). We indiscriminately refer to the corresponding optimal solutions for these cost functions as distortion optimal.
Defragmentization strategies for pre-engineering curricula
Authors: M. A. Cutchins, T. H. Shumpert, P. L. Zenor
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

The "traditional" preparatory curriculum for beginning engineering students has served several generations, but its demise may be imminent. First and second year courses such as calculus, physics, chemistry, electricity mechanics, etc., which have traditionally been assumed as essential for freshman and sophomore engineering students, are under serious scrutiny for possible modification or elimination. Perhaps the most dominant reason for this change in educational philosophy stems from the realization that many of the current "MTV Internet Surfing, raised-on-TV" generation appear to be insufficiently motivated by, or prepared for what has worked in the past. These tried-and-true static presentations of mathematical and technical material may offer too little direct interaction to the student accustomed to getting their information (and stimulation) from the high-tech communication media. These traditional presentations may simply be in need of updating and reconfiguring. There also appears to be significant fragmentation, either real or perceived by students, between these required math/science/engineering fundamental courses and subsequent advanced engineering courses. Sources of this fragmentation, and means of correcting it, are addressed in this paper.
Directional spatial interpolation for DCT-based low bit rate coding
Authors: Wenjun Zeng
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

A novel approach which combines directional spatial interpolation at the receiver and block-based coding is proposed for low bit rate coding. The directional spatial interpolation at the receiver can reconstruct faithfully a large percentage of the blocks that are intentionally not sent. Experimental results show that the new proposed coding system can provide significant subjective and objective gains over conventional approaches for still image compression, and has the potential to be extended for video coding.
Algorithms for computational genetic epidemiology
Authors: Alex Zelikovsky
Venue:  (2006)

The most intriguing problems in genetics epidemiology are to predict genetic disease susceptibility and to associate single nucleotide polymorphisms (SNPs) with diseases. In such these studies, it is necessary to resolve the ambiguities in genetic data. The primary obstacle for ambiguity resolution is that the physical methods for separating two haplotypes from an individual genotype (phasing) are too expensive. Although computational haplotype inference is a well-explored problem, high error rates continue to deteriorate association accuracy. Secondly, it is essential to use a small subset of informative SNPs (tag SNPs) accurately representing the rest of the SNPs (tagging). Tagging can achieve budget savings by genotyping only a limited number of SNPs and computationally inferring all other SNPs. Recent successes in high throughput genotyping technologies drastically increase the length of available SNP sequences. This elevates importance of informative SNP selection for compaction of huge genetic data in order to make feasible fine genotype analysis. Finally, even if complete and accurate data is available, it is unclear if common statistical methods can determine the susceptibility of complex diseases. The dissertation explores above computational problems with a variety of methods, including linear algebra, graph theory, linear programming, and greedy methods. The contributions include (1) significant speed-up of popular phasing tools without compromising their quality, (2) stat-of-the-art tagging tools applied to disease association, and (3) graph-based method for disease tagging and predicting disease susceptibility.
Automated Detection of Mitosis in Embryonic Tissues
Authors: Parthipan Siva, G. Wayne Brodland, David Clausi
Venue: Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (2007)

Characterization of mitosis is important for understanding the mechanisms of development in early stage embryos. In studies of cancer, another situation in which mitosis is of interest, the tissue is stained with contrast agents before mitosis characterization; an intervention that could lead to atypical development in live embryos. A new image processing algorithm that does not rely on the use of contrast agents was developed to detect mitosis in embryonic tissue. Unlike previous approaches that uses still images, the algorithm presented here uses temporal information from timelapse images to track the deformation of the embryonic tissue and then uses changes in intensity at tracked regions to identify the locations of mitosis. On a one hundred minute image sequence, consisting of twenty images, the algorithm successfully detected eighty-one out of the ninety-five mitosis. The performance of the algorithm is calculated using the geometric mean measure as 82%. Since no other method to count mitoses in live tissues is known, comparisons with the present results could not be made.
Data-Parallel R-Tree Algorithms
Authors: Erik G. Hoel, Hanan Samet
Venue: Proceedings of the 1993 International Conference on Parallel Processing - Volume 03 (1993)

Data-parallel algorithms for R-trees, a common spatial data structure are presented, in the domain of planar line segment data (e.g., Bureau of the Census TIGER/Line files). Parallel algorithms for both building the data-parallel R-tree, as well as determining the closed polygons formed by the line segments, are described and implemented using the SAM (Scan-And-Monotonic-mapping) model of parallel computation on the hypercube architecture of the Connection Machine.
Performance Enhancement of Multimedia Broadcast Multicast Service (MBMS) with Receive Diversity
Authors: Kari Aho, Tapani Ristaniemi, Janne Kurjenniemi, Ville Haikola
Venue: Proceedings of the Sixth International Conference on Networking (2007)

The aim of this paper is to evaluate the effect of receive diversity on Multimedia Broadcast Multicast Service (MBMS) performance in Wideband Code Division Multiple Access (WCDMA) networks. In addition to time diversity provided by long interleaving and receive diversity provided by multiple receive antennas, 3GPP release 6 specifications for MBMS introduce two macro diversity schemes: soft and selective combining. Diversity techniques are introduced in order to improve the MBMS performance. Improvements help especially the cell edge MBMS users who suffer most from the fading channel conditions. As receive diversity is one of the most efficient diversity techniques this paper examines the system level performance of MBMS point-to-multipoint (p-t-m) mode with receive diversity together with and without macro diversity schemes. These concepts are studied with dynamic system level tool in which e.g. mobility of users and interactions of the radio resource management functionalities are explicitly taken into account. Our studies indicate that the receive diversity brings significant gains to the MBMS performance. Receive diversity together with macro diversity schemes improves the performance even more.
High Performance RDMA-based Multi-port All-gather on Multi-rail QsNet II
Authors: Ying Qian, Ahmad Afsahi
Venue: Proceedings of the 21st International Symposium on High Performance Computing Systems and Applications (2007)

Scientific applications written in MPI use collective communications intensively. Efficient and scalable implementation of such collective operations is therefore crucial to the performance of MPI applications running on clusters. Quadrics QsNetII is a high-performance network that implements some collectives at its Elan user-level library. Its MPI implementation uses such primitives directly. Quadrics communication software supports pointto- point message striping over multi-rail QsNetII networks. However, multi-rail collectives, other than broadcast, are not supported. In this work, we propose, design and implement a number of RDMAbased multi-port algorithms for the all-gather operation over multi-rail QsNetII clusters directly at the Elan level. Our performance results indicate that the proposed multi-port all-gather Direct algorithm gains an improvement of up to 1.49 for 32KB messages over the native elan_gather() collective.
Issues when using company sponsored projects to provide a design experience for students
Authors: D. L. Dekker
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

Students must learn about and understand engineering design processes (EDP). To do this, one must both study and understand the design "theory" and then practice designing. The structured descriptions of the design processes provide the student with a clear "roadmap" of the intricacies and complexities of the design processes. Pahl and Beitz (1988), Wallace (1991) and Hubka & Eder (1988) all provide useful descriptions of design processes. The "practicing" of design can be done in many ways. The instructor can use case studies, can make up competitive projects, projects with construction required, projects where the paper report is the "product", use industrial projects, etc. The many different types of engineering design projects were discussed at the 1989 American Society for Engineering Education Annual Conference. Four issues which arise when utilizing industrially sponsored projects in design courses are discussed. 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
Automatic speaker clustering from multi-speaker utterances
Authors: J. McLaughlin
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

Blind clustering of multi-person utterances by speaker is complicated by the fact that each utterance has at least two talkers. In the case of a two-person conversation, one can simply split each conversation into its respective speaker halves, but this introduces error which ultimately hurts clustering. We propose a clustering algorithm which is capable of associating each conversation with two clusters (and therefore two-speakers) obviating the need for splitting. Results are given for two speaker conversations culled from the Switchboard corpus, and comparisons are made to results obtained on single-speaker utterances. We conclude that although the approach is promising, our technique for computing inter-conversation similarities prior to clustering needs improvement.
Python for Education: Computational Methods for Nonlinear Systems
Authors: Christopher R. Myers, James P. Sethna
Venue: Computing in Science and Engineering (2007)

Our interdisciplinary computational methods course uses Python and associated numerical and visualization libraries to enable students to implement simulations for several different course modules, which highlight the breadth and flexibility of Python-powered computational environments.
Finding faces in wavelet domain for content-based coding of color images
Authors: J. Karlekar
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face region. We present a highly efficient system that detects the human faces in the wavelet transform for discriminative quantization to achieve high perceptual quality content-based image coding technique. The proposed method gives superior subjective performance over JPEG without sacrificing the performance in the rate-distortion spectrum.
Theory and design of a class of cosine-modulated non-uniform filter banks
Authors: S. C. Chan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

In this paper, the theory and design of a class of PR cosine-modulated nonuniform filter bank is proposed. It is based on a structure previously proposed by Cox (1986), where the outputs of a uniform filter bank are combined or merged by means of the synthesis section of another filter bank with smaller channel number. Simplifications are imposed on this structure so that the design procedure can be considerably simplified. Due to the use of cosine modulated filter banks as the original and recombination filter banks, excellent filter quality and low design and implementation complexities can be achieved. Problems with these merging techniques such as spectrum inversion, equivalent filter representations and protrusion cancellation are also addressed. As the merging is performed after the decimation, the arithmetic complexity is lower than other conventional approaches. Design examples show that PR nonuniform filter banks with high stopband attenuation and low design and implementation complexities can be obtained by the proposed method.