ppxscal/embedding_network huggingface dataset:
A Ubiquitous Fashionable Computer with an i-Throw Device on a Location-Based Service Environment
Authors: Jupyung Lee, Seung-Ho Lim, Jong-Woon Yoo, Ki-Woong Park, Hyun-Jin Choi, Kyu Ho Park
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

The ubiquitous fashionable computer(UFC), introduced in this paper, is a wearable computer that allows people to exploit ubiquitous computing environment in a user-friendly manner. We present the design approach and philosophy of the UFC that is wearable, aesthetic, and intuitive . The UFC supports the interoperability of various communication interfaces among WLAN, Bluetooth and ZigBee devices. We developed a wireless gesture recognition device, called i - Throw, which is small enough to be worn on one's finger like a ring. The UFC, with the help of i - Throw, can control ubiquitous environment using an intuitive hand motion. To explain the practical use of the UFC platform and the user-friendly interaction with ubiquitous environment, we implemented a ubiquitous testbed where multiple UFC users interact with various ubiquitous devices or other UFC users. In addition, we implemented a practical application which makes it possible to exchange the various objects and control ubiquitous devices very easily.
Stochastic modeling and optimization for robust power management in a partially observable system
Authors: Qinru Qiu, Ying Tan, Qing Wu
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we propose a new modeling and optimization technique based on partially observable Markov decision process (POMDP) for robust power management, which can achieve near-optimal power savings, even when only partial system information is available. Three scenarios of partial observations that may occur in an embedded system are discussed and their modeling techniques are presented. The experimental results show that, compared with power management policy derived from traditional Markov decision process model that assumes the system is fully observable, the new power management technique gives significantly better performance and energy tradeoff.
CSP-Based Firewall Rule Set Diagnosis using Security Policies
Authors: S. Pozo, R. Ceballos, R. M. Gasca
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

The most important part of a firewall configuration process is the implementation of a security policy by a security administrator. However, this security policy is not designed by higher levels of the organisation, nor is written anywhere, so it is very usual to make mistakes in its implementation. To solve this problem we propose to express this global access control policy in some informal language that is translated to a model specification in conjunction with the firewall rule set. Then we construct a Constraint Satisfaction Problem to detect and identify the possible inconsistencies between the specified policy and the firewall rule set.
The variational iteration method for rational solutions for KdV, K(2,2), Burgers, and cubic Boussinesq equations
Authors: Abdul-Majid Wazwaz
Venue: Journal of Computational and Applied Mathematics (2007)

In this work, the reliable variational iteration method is used to determine rational solutions for the KdV, the K(2,2), the Burgers, and the cubic Boussinesq equations. The study highlights the efficiency of the method and its dependence on the Lagrange multiplier. Rational solutions are obtained directly in a straightforward manner.
Haptic Feedback Enhances Force Skill Learning
Authors: Dan Morris, Hong Tan, Federico Barbagli, Timothy Chang, Kenneth Salisbury
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

This paper explores the use of haptic feedback to teach an abstract motor skill that requires recalling a sequence of forces. Participants are guided along a trajectory and are asked to learn a sequence of onedimensional forces via three paradigms: haptic training, visual training, or combined visuohaptic training. The extent of learning is measured by accuracy of force recall. We find that recall following visuohaptic training is significantly more accurate than recall following visual or haptic training alone, although haptic training alone is inferior to visual training alone. This suggests that in conjunction with visual feedback, haptic training may be an effective tool for teaching sensorimotor skills that have a forcesensitive component to them, such as surgery. We also present a dynamic programming paradigm to align and compare spatiotemporal haptic trajectories.
Model-Driven Evolution of Software Architectures
Authors: Bas Graaf
Venue: Proceedings of the 11th European Conference on Software Maintenance and Reengineering (2007)

This paper gives an overview of a Ph.D.-project that investigates approaches to support the evolution of software architectures. Particularly, we focus on the use of model-driven techniques in the context of software product-lines. We recognise four tasks related to software evolution: evaluation, conformance checking, migration, and documentation. We propose model-driven solutions for these tasks. By their application in industrial case studies we investigate the extent to which the evolution tasks can be automated, the impact of the use of software product lines, and the possibilities and difficulties to integrate these solutions in industrial practice.
Egocentric Depth Judgments in Optical, See-Through Augmented Reality
Authors: J. Edward Swan II, Adam Jones Eric Kolstad Mark A. Livingston
Venue: IEEE Transactions on Visualization and Computer Graphics (2007)

A fundamental problem in optical, see-through augmented reality (AR) is characterizing how it affects the perception of spatial layout and depth. This problem is important because AR system developers need to both place graphics in arbitrary spatial relationships with real-world objects, and to know that users will perceive them in the same relationships. Furthermore, AR makes possible enhanced perceptual techniques that have no real-world equivalent, such as x-ray vision, where AR users are supposed to perceive graphics as being located behind opaque surfaces. This paper reviews and discusses protocols for measuring egocentric depth judgments in both virtual and augmented environments, and discusses the well-known problem of depth underestimation in virtual environments. It then describes two experiments that measured egocentric depth judgments in AR. Experiment I used a perceptual matching protocol to measure AR depth judgments at medium and far-field distances of 5 to 45 meters. The experiment studied the effects of upper versus lower visual field location, the x-ray vision condition, and practice on the task. The experimental findings include evidence for a switch in bias, from underestimating to overestimating the distance of AR-presented graphics, at \sim23 meters, as well as a quantification of how much more difficult the x-ray vision condition makes the task. Experiment II used blind walking and verbal report protocols to measure AR depth judgments at distances of 3 to 7 meters. The experiment examined real-world objects, real-world objects seen through the AR display, virtual objects, and combined real and virtual objects. The results give evidence that the egocentric depth of AR objects is underestimated at these distances, but to a lesser degree than has previously been found for most virtual reality environments. The results are consistent with previous studies that have implicated a restricted field-of-view, combined with an inability for observers to scan the ground plane in a near-to-far direction, as explanations for the observed depth underestimation.
Level estimation in nonlinearly distorted hidden Markov models using statistical extremes
Authors: K. Dogancay
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

Estimation of the state levels of a discrete-time, finite-state Markov chain hidden in coloured Gaussian noise and subjected to unknown nonlinear distortion is considered. If the nonlinear distortion has almost linear behaviour for small values near zero or for large values, extreme value theory can be applied to the level estimation problem, resulting in simple estimation algorithms. The extreme value-based level estimator is computationally inexpensive and has potential applications in data measurement systems where inaccuracies are introduced by dead zones or saturation in sensor characteristics. The effectiveness of the new level estimator is demonstrated by way of computer simulations.
Consensus and dissention: A measure of ordinal dispersion
Authors: William J. Tastle, Mark J. Wierman
Venue: International Journal of Approximate Reasoning (2007)

A new measure of dispersion is introduced as a representation of consensus (agreement) and dissention (disagreement). Building on the generally accepted Shannon entropy, this measure utilizes a probability distribution and the distance between categories to produce a value spanning the unit interval. The measure is applied to the Likert scale (or any ordinal scale) to determine degrees of consensus or agreement. Using this measure, data on ordinal scales can be given a value of dispersion that is both logically and theoretically sound.
A laboratory approach to RF power technology for semiconductor manufacturing
Authors: R. Smith
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

Radio frequency power technology is an essential part of the fabrication of today's modern semiconductors. It would be virtually impossible to construct a high density multilevel device without the benefits provided by the use of RF power. While a basic course can be taught from a text, a course which has an associated hands-on lab offers much more, i.e. the opportunity to study the behavior of the system and make actual measurements. More and more, industry is looking for technicians and engineers who not only have a theoretical background in the technology, but also a real grasp of the nuts and bolts mechanics of the equipment they use. The goal of our program is to provide industry with an entry-level equipment technician. If graduates are to be assigned to an area of a semiconductor lab such as etch or thin films, he or she will need to be very familiar with the RF subsystems that are an integral part of the equipment or 'tool'. While it is unlikely a school will have the actual equipment that a graduate will encounter in industry, a program which has a balance of academics and lab experience can provide excellent preparation for the student. The author looks at the methodology in two parts: first, the author discusses the academic material that needs to be covered before the laboratory experience can be worth while, and secondly, the laboratory work itself. 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
On the construction of optimal cubature formulae which use integrals over hyperspheres
Authors: V. F. Babenko, S. V. Borodachov
Venue: Journal of Complexity (2007)

We consider formulae of approximate integration over a d-dimensional ball which use n surface integrals along (d-1)-dimensional spheres centered at the origin. For a class of functions defined on the ball with gradients satisfying an integral restriction, optimal formulae of this type are obtained.
Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images
Authors: Maryruth J. Lawrence, Mark G. Eramian, Roger A. Pierson, Eric Neufeld
Venue: Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (2007)

Polycystic ovary syndrome (PCOS) is an endocrine abnormality with multiple diagnostic criteria due to its heterogenic manifestations. One of the diagnostic criteria includes analysis of ultrasound images of ovaries for the detection of number, size, and distribution of follicles within the ovary. This involves manual tracing and counting of follicles on the ultrasound images to determine the presence of a polycystic ovary (PCO). We describe a novel method that automates PCO detection. Our algorithm involves segmentation of follicles from ultrasound images, quantifying the attributes of the automatically segmented follicles using stereology, storing follicle attributes as feature vectors, and finally classification of the feature vector into two categories. The classification categories are: PCO present and PCO absent. An automatic PCO diagnostic tool would save considerable time spent on manual tracing of follicles and measuring the length and width of every follicle. Our procedure was able to achieve classification accuracy of 92.86% using a linear discriminant classifier. Our classifier will improve the rapidity and accuracy of PCOS diagnosis, reducing the risk of the severe complications that can arise from delayed diagnosis.
A hierarchical approach to transistor-level power estimation of arithmetic units
Authors: J. H. Satyanarayana
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06 (1996)

This paper presents an algorithm for power estimation in digital circuits using a hierarchical approach. The salient feature of this approach is that it can be used to estimate the power of large digital circuits in a reasonably short time. Moreover, it takes into account both the spatial correlations introduced in the circuit due to reconvergent fanout, and the delays associated with the various computation units. The circuit is partitioned into sub-circuits which are modeled using state transition diagrams (STDs), and the energy, and therefore power, associated with the circuit is then computed from its constituent STDs by treating them as irreducible Markov chains. Experimental results show that the estimated power is in close agreement with the actual power obtained from exhaustive SPICE simulations. However, the computation time required by the proposed approach is orders of magnitude less than that required by SPICE.
Fractionally-spaced CMA under channel noise
Authors: A. Touzni
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05 (1996)

In the noise-free case, fractionally-spaced equalization by constant modulus algorithm (FSE-CMA) was shown to be robust to the channel identifiability condition. The effect of additive channel noise on FSE-CMB steady-state behavior is analyzed in terms of the perturbation of the equalizer convergence settings with respect to the convergence settings of the noise-free case. The loss of performance is characterized by the additional residual mean square error induced by the noise. We show that, in noisy conditions, FSE-CMA exhibits an interesting "smoothing effect" that leads to a trade-off between zero forcing (ZF) equalization and output noise enhancement (NE). We also show that the main loss is due to the NE and not to residual intersymbol interference.
Modeling reach for use in user interface design
Authors: Aaron P. Toney, Bruce H. Thomas
Venue: Proceedings of the eight Australasian conference on User interface - Volume 64 (2007)

The area on a horizontal working plane usable for direct manipulation or direct touch user interfaces is constrained within the space reachable by the users. This paper shows that existing models of reach in the literature are suitable for use in user interface design. While existing data was gathered for stationary individuals this paper examines the impact of freedom of motion on the maximum reported comfortable reach envelope (i.e. the surface of maximum reach). A user study was conducted to gauge the impact at several table heights of user motion on available working space. Throughout, the paper discuses several ways in which these reach models can be immediately applied to user interface design.
Structured estimation of sparse channels in quasi-synchronous DS-CDMA
Authors: I. Ghauri
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

We explore the channel estimation problem in the case of quasi-synchronous users in a DS-CDMA system. Knowledge of the transmit (TX) filter is assumed, and the anti-aliasing low-pass front end receive (RX) filter is designed for critical sampling at the Nyquist rate for the TX filter. It is shown that when the sampling frequency is larger than the Nyquist frequency, the discrete-time representation of the channel is not unique. However, all representations can be treated in a similar fashion once the Nyquist rate is satisfied. On the other hand, fractionally sampling the channel leads to a scenario in which the cut-off frequency can be approached arbitrarily close to the Nyquist rate. In the case of sparse channels, sampling the channel at any rate lends to a small number of non-zero coefficients in the finite-impulse response(FIR) representation of the channel. The structured channel estimation algorithm presented in this paper exploits the sparseness of this model. Results are compared with those of other previously proposed structured methods.
End-to-End Congestion Control for H.264/SVC
Authors: Yang Xiaogang, Lei Lei
Venue: Proceedings of the Sixth International Conference on Networking (2007)

H.264/SVC extends the hybrid video coding approach of H.264/AVC, which adopts a layered coding scheme to generate multi-layer bit stream for heterogeneous environments. For the network application of H.264/SVC, congestion control is a crucial issue. This paper proposes an end-to-end rate control mechanism for H.264/SVC based on binomial congestion control algorithm, which is called HBCC and supports the transmission of variable packet length SVC flows. It removes loss retransmission and changes the mechanism of sending an ACK for every packet received to reduce the variations in the frequency of the congestion window and makes real-time video be transmitted smoother. In the end, we use NS2 simulation and video quality metrics to evaluate the scheme. Result shows the scheme is effective
Maximum distance separable codes and arcs in projective spaces
Authors: T. L. Alderson, A. A. Bruen, R. Silverman
Venue: Journal of Combinatorial Theory Series A (2007)

Given any linear code C over a finite field GF(q) we show how C can be described in a transparent and geometrical way by using the associated Bruen-Silverman code. Then, specializing to the case of MDS codes we use our new approach to offer improvements to the main results currently available concerning MDS extensions of linear MDS codes. We also sharply limit the possibilities for constructing long non-linear MDS codes. Our proofs make use of the connection between the work of Redei [L. Redei, Lacunary Polynomials over Finite Fields, North-Holland, Amsterdam, 1973. Translated from the German by I. Foldes. [18]] and the Redei blocking sets that was first pointed out over thirty years ago in [A.A. Bruen, B. Levinger, A theorem on permutations of a finite field, Canad. J. Math. 25 (1973) 1060-1065]. The main results of this paper significantly strengthen those in [A. Blokhuis, A.A. Bruen, J.A. Thas, Arcs in PG(n,q), MDS-codes and three fundamental problems of B. Segre-Some extensions, Geom. Dedicata 35 (1-3) (1990) 1-11; A.A. Bruen, J.A. Thas, A.Blokhuis, On M.D.S. codes, arcs in PG(n,q) with q even, and a solution of three fundamental problems of B. Segre, Invent. Math. 92 (3) (1988) 441-459].
Knowledge Connectivity vs. Synchrony Requirements for Fault-Tolerant Agreement in Unknown Networks
Authors: Fabiola Greve, Sebastien Tixeuil
Venue: Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (2007)

In self-organizing systems, such as mobile ad-hoc and peer-to-peer networks, consensus is a fundamental building block to solve agreement problems. It contributes to coordinate actions of nodes distributed in an ad-hoc manner in order to take consistent decisions. It is well known that in classical environments, in which entities behave asynchronously and where identities are known, consensus cannot be solved in the presence of even one process crash. It appears that self-organizing systems are even less favorable because the set and identity of participants are not known. We define necessary and sufficient conditions under which fault-tolerant consensus become solvable in these environments. Those conditions are related to the synchrony requirements of the environment, as well as the connectivity of the knowledge graph constructed by the nodes in order to communicate with their peers.
Wavelet packet shrinkage based adaptive resampling
Authors: Chia-Chun Huang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

We present an adaptive compression and resampling technique using wavelet packet shrinkage. The motivating application is surface digitization for computer-aided manufacturing. The objective is to improve estimation accuracy using a sparse and irregular, but more accurate, resampling of the data. We provide modified thresholds for wavepacket shrinkage, heuristics for choosing the resampling grid, and a mean estimator using measured data. Computed results illustrate application of the proposed technique.
Person-level routing in the mobile people architecture
Authors: Mema Roussopoulos, Petros Maniatis, Edward Swierk, Kevin Lai, Guido Appenzeller, Mary Baker
Venue: Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2 (1999)

Ubiquitous network connectivity for devices does not automatically imply continuous reachability for people. People move from place to place and switch from one network device to another. As a result, phones ring in empty offices, email cannot reach most cell phones, and spam clogs expensive, low-bandwidth links to laptops. Whereas existing mechanisms have addressed host mobility or the mobility of people within one network, few have allowed people, the ultimate and most important endpoints of communication, to roam freely, without being constrained to one location, one application, one device, or one network. We have designed the Mobile People Architecture (MPA) to maintain person-to-person reachability. The central component of MPA is a person-level router called the Personal Proxy. It tracks a mobile person's location, accepts communications on his behalf, converts them into different application formats according to his preferences, and forwards the resulting communications to him. In contrast to similar systems, the Personal Proxy protects the user's privacy, is easily extensible to new network devices and applications, and has been deployed with no modifications to the existing network and telecommunications infrastructure. In this paper, we describe the design, implementation, and preliminary evaluation of our prototype Personal Proxy, a service that integrates Internet and telephone communication and addresses the need for person-to-person reachability.
Improving student learning through the use of multisource assessment and feedback
Authors: J. McGourty
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

The paper examines the use of multisource assessment and feedback processes in the classroom and the potential impact on student learning in engineering. Grounded in control and goal setting theories, this assessment process provides a means for students to take a proactive role in their learning. Research and practice issues are addressed.