ppxscal/embedding_network huggingface dataset:
Integrating computing science undergraduate education
Authors: R. F. Paweska
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

With over 50 years of computer science in existence, a great effort has been spent on designing the best curricular for educating computer scientists, educating computing professionals, as well as educating users of computers. In spite of this, there has not been in evidence an approach to creating a flexible university environment, which supports a flow between those three basic and different types of computing education. This paper presents a model of integrated computing education which allows for: obtaining different level of computing knowledge and proficiency, fast and flexible upgradability of computing skills, adding computing knowledge and skills to knowledge already possessed in another discipline. Finally the model recognizes the value of Prior Learning Professional Experience (PLPE) as a factor in computing education. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A fast least squares adaptive algorithm for tracking non-stationary environments in power inversion array
Authors: C. C. Ko
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

This paper presents and investigates a fast algorithm for the tracking of non-stationary environments in power inversion arrays. The algorithm is based on the use of iterative least squares techniques and the introduction of an additional gradient vector in the objective function so that both the optimal weight vector and its rate of change are estimated recursively. Although the algorithm is computationally more complex than conventional least squares methods, it has better performance in tracking moving sources as the velocities of the latter are also being estimated.
Indirect partner interaction in peer-to-peer networks: stimulating cooperation by means of structure
Authors: Stephan Schosser, Klemens Böhm, Bodo Vogt
Venue: Proceedings of the 8th ACM conference on Electronic commerce (2007)

Structured P2P systems are a prominent representative of a class of systems where participants communicate via a given structure. Peers in such systems must show cooperative behavior, to avoid performance degradation of the system. Economic literature has proposed various mechanisms to stimulate cooperation. Their effectiveness strongly depends on the interaction scenario. The two important scenarios are the partner scenario, where participants interact repeatedly, and the stranger scenario, where participants tend to interact only once. The use of shared histories is beneficial in the stranger scenario, but it is not necessary in the partner scenario. This paper is based on the observation that the systems investigated here do not match either of these scenarios. Thus, we propose indirect partner interaction as a new interaction scenario, i.e., peers interact indirectly via a sequence of peers. To study peer behavior in this new scenario without any assumptions, we have carried out economic experiments. They give way to the following results: Participants interacting on behalf of strangers show roughly the same degree of cooperative behavior as with the other mechanisms examined, like partner design or punishment. While participants tend to rely on the shared history if no other information is available, they use the network structure as basis for their strategic decisions whenever possible. The presence of a shared history does not lead to an increase of the payoff earned in such a system. We conclude that the settings investigated here do not need shared histories to stimulate cooperation.
On the Convergence of Fitting Algorithms in Computer Vision
Authors: N. Chernov
Venue: Journal of Mathematical Imaging and Vision (2007)

We investigate several numerical schemes for estimating parameters in computer vision problems: HEIV, FNS, renormalization method, and others. We prove mathematically that these algorithms converge rapidly, provided the noise is small. In fact, in just 1-2 iterations they achieve maximum possible statistical accuracy. Our results are supported by a numerical experiment. We also discuss the performance of these algorithms when the noise increases and/or outliers are present.
Reed-Solomon codes and their performance for FCMA systems in fading satellite channel
Authors: M. A. A. Ali
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

Fading in mobile satellite communications severely degrades the performance of data transmission. The emphasis in this paper is on the performance of uncoded and coded FCMA (frequency comb multiple access) in the fading environment. The channel is modeled with nonfrequency selective Rician and Rayleigh fading using noncoherent demodulation with Reed-Solomon (RS) codes and hard decision decoding. Berlekamp-Massey decoding of RS codes is used to compensate for the fading. The bit error rate (BER) after decoding is calculated for specific codes and for different values of Rician channel parameters. The results of this paper are obtained by simulation techniques. They show that substantial coding gains are obtained compared to the uncoded reference system. They are also useful as reference for validating the results of simulation studies.
Electrical engineering vs. computer engineering vs. computer science: developing three distinct but interrelated curricula
Authors: K. R. Demarest, J. R. Miller, J. A. Roberts, C. Tsatsoulis
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

In 1993, the University of Kansas merged the Department of Computer Science in the College of Liberal Arts and Sciences with the Department of Electrical and Computer Engineering in the School of Engineering. The resulting department, called the Department of Electrical Engineering and Computer Science (EECS), resides in the School of Engineering and brings together the broad fields of electrical technology computing, telecommunications and information science. Among other things, the merger enabled the consolidation of courses, enhanced classroom experiences for the students, and expanded research opportunities. The EECS Department now offers three Bachelor of Science degrees in electrical engineering, computer engineering and computer science, as well as masters and doctoral degrees in electrical engineering and computer science. This paper first describes the philosophy we applied in developing the three programs as they now stand. We then describe the curricula themselves. We point out where the curricula are the same, where they are only similar and where they are distinctly different. Finally, we discuss future changes that we anticipate in the programs. We feel that the merger has created the opportunity for significantly improved teaching and research. This paper shares some of our experience and ideas.
A team centered grading system based primarily on the team's performance
Authors: R. Martinazzi
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

One of the current expectations of industry requires universities to provide technically competent engineering professionals capable of immediate assimilation into a team-based working environment. The only practical means of affording students a team-based learning experience involves having students function as a team member in a course(s) taken during their college experience. One of the major challenges of using student teams focuses on providing the student team with some definite "reward" for their collective performance while ensuring the integrity of individual learning. Without a grading component serving as a team "reward", little incentive exists for students to participate fully and learn the underlying concepts, skills and synergistic potential associated with being a member of a high performance team. This paper presents a method for course grading based primarily on the student team's performance. It resulted from numerous attempts to have students accept "ownership" for developing the method of determining the course grade because a basic principle of the team concept is to create a sense of job ownership. The paper explains how each team member's individual performance is integrated with the team's performance to produce the final course grade. The final course grade received by the student is weighted so approximately two-thirds of it results from the team's effort with the remainder derived solely from the student's individual performance.
A Comparative Study of Four Hierarchy Browsers using the Hierarchical Visualisation Testing Environment (HVTE)
Authors: Keith Andrews, Janka Kasanicka
Venue: Proceedings of the 11th International Conference Information Visualization (2007)

Four hierarchy browsers were compared in a counterbalanced repeated measures study with 32 test users. The four browsers tested were in-house implementations of 1) a windows explorer style tree view, 2) an information pyramids browser, 3) a treemap browser, and 4 ) a hyperbolic browser. Each user performed eight tasks with each browser. Task completion time, subjective ratings, and overall preference data were collected. Almost no significant differences in performance were found, but users significantly preferred the tree view browser. The four browsers are implemented as part of the Hierarchical Visualisation System (HVS), a Java framework for visualising hierarchies. The Hierarchical Visualisation Testing Environment (HVTE) is a semi-automated testing environment built on top of HVS, which presents a sequence of tasks from a test case database to the user, together with an associated browser and test hierarchy, and automates the collection of timing data.
DC-Notch FIR Filters for Zero-IF Receivers
Authors: Pavel Zahradnik, Miroslav Vlcek, Boris Simak
Venue: Proceedings of the Sixth International Conference on Networking (2007)

A novel extremely robust analytical procedure for the effective evaluation of the impulse response of a highly selective optimal equiripple DC-notch FIR filter is presented. The DC-notch filter is optimal in the Chebyshev sense. The computational superiority of presented procedure over the standard approach is emphasized.
Micro-ball lens array fabrication in photoresist using PTFE hydrophobic effect
Authors: Ruey Fang Shyu, Hsiharng Yang, Wen-Ren Tsai, Jhy-Cherng Tsai
Venue: Microsystem Technologies (2007)

This paper presents a simple method for fabricating a micro-ball lens and its array. The core technology involves the hydrophobic characteristics of polyterafluoroethylene (PTFE) substrate. High contact angle between the melted photoresist pattern and PTFE generates the micro-ball lens and array. The PTFE thin film is spun onto a silicon wafer and oven dried. Photoresist AZ4620 is used to pattern micro-columns with various diameters; 60, 70 and 80&#x00a0;&#x03bc;m. A thermal reflow process is then applied to melt these micro-column patterns into a micro-ball lens array. The achieved micro-ball lens array has a diameter of 98&#x00a0;&#x03bc;m fabricated using 80&#x00a0;&#x03bc;m diameter patterns. This method provides a simple fabrication process and low material cost.
A behavioral model development methodology for microwave components and integration in VHDL-AMS
Authors: Ginés Doménech-Asensi, Juan Hinojosa, Juan Martínez-Alajarín
Venue: Microelectronics Journal (2007)

The new generation of system-on-chip (SoC) incorporates digital, analogue, radiofrequency (RF)/microwave and mixed-signal components. Therefore, novel design methodologies must be developed to direct the design of these mixed-technology systems, which will have to include accurate behavioral libraries of devices and processes. Thus, this paper describes a behavioral modeling approach which generates accurate empirical models for RF/microwave devices and that can be easily integrated into a VHDL-AMS simulator. This approach is applied to a microwave tunable phase shifter and it is illustrated by the development of a VHDL-AMS model library for RF/microwave applications.
Job Scheduling in Mesh Multicomputers
Authors: Debendra Das Sharma, Dhiraj K. Pradhan
Venue: Proceedings of the 1994 International Conference on Parallel Processing - Volume 02 (1994)

A new approach for dynamic job scheduling in mesh-connected multiprocessor system, which supports a multi-user environment, is proposed. The proposed job scheduler combines a priority-based scheduling policy with a submesh reservation policy to obtain high performance in terms of high throughput, high utilization and low turn-around times for jobs. The proposed scheduling strategy offers the flexibility of achieving high performance at the expense of short-term 'fairness' towards certain jobs. A fast and efficient implementation of the proposed scheduler has also been presented. Simulation results indicate that our scheduling strategy outperforms the FCFS policy significantly by reducing the average waiting delay significantly.
Adaptive mean/median filtering
Authors: T. Bose
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

The use of median and averaging filters is fairly routine in signal processing applications. One problem in using such algorithms is the lack of objective criteria by which to decide whether an averager or a median filter is more appropriate. We formulate an L/sub p/ (1/spl les/p/spl les/2) normed filter where p is chosen as a function of the kurtosis of the residual vector; we restrict attention in this work to a mean filter (p=2) and a median filter (p=1). In order to highlight the effectiveness of this filtering algorithm we demonstrate reduced sum squared error by adaptively filtering a sinusoid and a test image in the presence of both additive white Gaussian noise and an impulsive noise component.
On-demand QoS multipath routing
Authors: O. B. Madsen, Gang Wu, Gang Feng
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 01 (2002)

We propose an efficient multipath routing algorithm for a given quality of service (QoS) in carrying delay-sensitive traffic. The proposed algorithm takes advantage of available alternate routes that can be used in the network without violating end-to-end delay and bandwidth constraint. The objective of our routing scheme is to minimize the maximum of link utilization. For an arriving connection request, a set of feasible paths is found without re-routing the existing traffic flows and the corresponding ratio in allocation of traffic for each path is determined. The algorithm is very efficient and can be used for the arrival connection request on-the-fly. Extensive simulation results show that 13-27% gains of additional connections can be achieved when compared to the shortest path routing.
The fully adaptive GMRF anomaly detector for hyperspectral imagery
Authors: S. M. Thornton
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

The use of hyperspectral imagery for remote sensing detection applications has received attention due to the ability of the hyperspectral sensor to provide registered information in both space and frequency. However, this coupling of spatial and spectral information leads to an immense amount of data for which it has proven difficult to develop an efficient implementation of the maximum-likelihood (ML) detector. We present the Gauss-Markov random field (GMRF) detector which we have developed for detecting man-made anomalies in hyperspectral imagery. The GMRF detector is the first computationally efficient ML-detector for hyperspectral imagery. We compare the detection performance and the computational requirements of our detector implementation to the benchmark RX detection algorithm for hyperspectral imagery.
Characterization and equalization of dropouts in the magnetic tape recording channel
Authors: F. Sarigoz
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

We consider the issue of combating signal dropouts in magnetic tape recording. Dropouts are a major limiting factor in the performance of the channel as they cause long bursts of bit errors. To attack this problem, a model of the dropout event has been developed. Based on that model, a strategy has been identified in which an envelope detector followed by a feedforward equalizer is used. The equalization process is done in such a way as to address the three major effects caused by a dropout event: amplitude loss, pulse widening and peakshift. The crucial part of this scheme is the spacing profile estimator, which makes use of an envelope detector. With this scheme, the effects of the dropout are corrected at the expense of a delay in the channel. The model of the dropout and the correction scheme are all presented.
The use of learning style innovations to improve retention
Authors: P. Kramer-Koehler, N. M. Tooney, D. P. Beke
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

Polytechnic University is an urban Science and Engineering school with substantial enrolments of non-majority students. Recent efforts at the Polytechnic have focused on increasing enrolment of minority women enrolled in two year college physical science and pre-engineering programs to transfer into four-year engineering B.S. Programs. A new core curriculum required for all entering freshmen in engineering disciplines, and encouraged for minority transfer students, emphasizes hands-on laboratory based learning, engineering and mathematics upfront on a need to know basis, cooperative learning, and the development of oral and written communication skills. Preliminary evaluation of the core for 144 entering students in fall, 1993, demonstrated that while most students prefer the new approach, women and/or black and Hispanic students are significantly more enthusiastic about cooperative learning, hands-on learning, and peer tutoring; and less enthusiastic about traditional lecture-based teaching and learning. These students also show differences in learning style preferences as assessed by the Myers-Briggs Inventory. This paper presents longitudinal follow-up data for the above sample of 144 students entering Polytechnic in fall, 1993, and an additional 196 students entering in fall, 1994. Data includes course performance and grades in the new core and in more "traditional" engineering and science courses, course evaluations and learning style preferences as assessed by the Myers-Briggs.
Does standardization have a negative impact on working conditions?: Research Articles
Authors: Bozena Poksinska
Venue: Human Factors in Ergonomics Manufacturing (2007)

The aim of this article was to contribute to the discussion about whether standardization has a positive or negative impact on working conditions. The case studies of organizations certified to the quality management standard ISO 9000 served as the empirical base. The article shows that there is no clear and obvious answer about the impact of standardization on working conditions. The consequences for working conditions depend on many variables and may differ considerably from organization to organization. Three primary variables influencing the outcomes for working conditions were identified and discussed: (1) content of the standard, (2) the standardization process, and (3) the degree of standardization. &copy; 2007 Wiley Periodicals, Inc. Hum Factors Man 17: 383&ndash;394, 2007.
Augmenting artistic realities: opportunities for creative and artistic practice in augmented reality
Authors: Helen Papagiannis
Venue: Proceedings of the 6th ACM SIGCHI conference on Creativity cognition (2007)

The subject of my M.A. research investigates the potential for Augmented Reality (AR), an emerging technology, as a new form for artistic expression. This research will seek to identify what types of projects artists aspire to create using AR, how existing tools and software can be improved to better support creativity, and how greater access can be granted to artists to work directly with the technology, without the need of an intermediary such as a computer programmer.
Optical flow estimation from noisy data using differential techniques
Authors: Chun-Jen Tsai
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

Many optical flow estimation techniques are based on the differential optical flow equation. These algorithms involve solving over-determined systems of optical flow equations. Least squares (LS) estimation is usually used to solve these systems even though the underlying noise does not conform to the model implied by LS estimation. To ameliorate this problem, work has been done using the total least squares (TLS) method instead. However, the noise model presumed by TLS is again different from the noise present in the system of optical flow equations. A proper way to solve the system of optical flow equations is the constrained total least squares (CTLS) technique. The derivation and analysis of the CTLS technique for optical flow estimation is presented in this paper. It is shown that CTLS outperforms TLS and LS optical flow estimation.
Fast Algorithms for Simulating the CRCW Shared-Memory Computer on Reconfigurable Meshes
Authors: Daw-Jong Shyu, Biing-Feng Wang, Chuan-Yi Tang
Venue: Proceedings of the 1994 International Conference on Parallel Processing - Volume 03 (1994)

In this paper, fast algorithms for simulating the CRCW shared-memory computer on reconfigurable meshes are proposed.
Screen space meshes
Authors: Matthias Müller, Simon Schirm, Stephan Duthaler
Venue: Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation (2007)

We present a simple yet powerful approach for the generation and rendering of surfaces defined by the boundary of a three-dimensional point cloud. First, a depth map plus internal and external silhouettes of the surface are generated in screen space. These are used to construct a 2D screen space triangle mesh with a new technique that is derived from Marching Squares. The resulting mesh is transformed back to 3D world space for the computation of occlusions, reflections, refraction, and other shading effects. One of the main applications for screen space meshes is the visualization of Lagrangian, particle-based fluids models. Our new method has several advantages over the full 3D Marching Cubes approach. The algorithm only generates surface where it is visible, view-dependent level of detail comes for free, and interesting visual effects are possible by filtering in screen space.