ppxscal/embedding_network huggingface dataset:
Iterative direct inversion: An exact complementary solution for inverting fault-slip data to obtain palaeostresses
Authors: Mostafa E. Mostafa
Venue: Computers Geosciences (2005)

The present study shows that reconstructing the reduced stress tensor (RST) from the measurable fault-slip data (FSD) and the immeasurable shear stress magnitudes (SSM) is a typical iteration problem. The result of direct inversion of FSD presented by Angelier [1990. Geophysical Journal International 103, 363-376] is considered as a starting point (zero step iteration) where all SSM are assigned constant value (@l=3/2). By iteration, the SSM and RST update each other until they converge to fixed values. Angelier [1990. Geophysical Journal International 103, 363-376] designed the function upsilon (@u) and the two estimators: relative upsilon (RUP) and (ANG) to express the divergence between the measured and calculated shear stresses. Plotting individual faults' RUP at successive iteration steps shows that they tend to zero (simulated data) or to fixed values (real data) at a rate depending on the orientation and homogeneity of the data. FSD of related origin tend to aggregate in clusters. Plots of the estimators ANG versus RUP show that by iteration, labeled data points are disposed in clusters about a straight line. These two new plots form the basis of a technique for separating FSD into homogeneous clusters.
Privacy-enhanced public view for social graphs
Authors: Hyoungshick Kim, Joseph Bonneau
Venue: Proceeding of the 2nd ACM workshop on Social web search and mining (2009)

We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook's public search listings, which expose user profiles to search engines along with a fixed number of each user's friends. If this public view is produced by uniform random sampling, an adversary can accurately approximate many sensitive features of the original graph, including the degree of individual nodes. We propose several schemes to produce public views which hide degree information. We demonstrate the practicality of our schemes using real data and show that it is possible to mitigate inference of degree while still providing useful public views.
An efficient Matlab script to calculate heterogeneous anisotropically elastic wave propagation in three dimensions
Authors: Oliver S. Boyd
Venue: Computers Geosciences (2006)

We have created a second-order finite-difference solution to the anisotropic elastic wave equation in three dimensions and implemented the solution as an efficient Matlab script. This program allows the user to generate synthetic seismograms for three-dimensional anisotropic earth structure. The code was written for teleseismic wave propagation in the 1-0.1Hz frequency range but is of general utility and can be used at all scales of space and time. This program was created to help distinguish among various types of lithospheric structure given the uneven distribution of sources and receivers commonly utilized in passive source seismology. Several successful implementations have resulted in a better appreciation for subduction zone structure, the fate of a transform fault with depth, lithospheric delamination, and the effects of wavefield focusing and defocusing on attenuation. Companion scripts are provided which help the user prepare input to the finite-difference solution. Boundary conditions including specification of the initial wavefield, absorption and two types of reflection are available.
Test Data Generation Using Annealing Immune Genetic Algorithm
Authors: X. B. Tan, Cheng Longxin, Xu Xiumei
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

With the development of software technology and the expansion of software project scale, software testing appears to be more crucial. And test data selection is one of the nodi during software structure testing because the suitability of test data may directly affect error detection. Notwithstanding existence of several methods to generate test data automatically, such an algorithm overcoming disadvantages of the existing methods in practice hasn’t been brought out, that some errors still have to be detected by engineering experience. Therefore, this paper analyzes the characteristics and shortcomings of simple genetic algorithm, simulated annealing genetic algorithm as well as immune algorithm respectively. Aiming at solving the shortcomings in standard Genetic Algorithm on search efficiency, individual diversity and premature, the Annealing Immune Genetic Algorithm (AIGA) is presented as the core algorithm of test data generation by introducing the mechanism of reproduction rate adjustment of individual concentration of immune algorithm and annealing principium into genetic algorithm. Finally, AIGA mentioned above was applied and verified with a practical software testing example.
Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks
Authors: Mehmet Bayram Yildirim, Tarik Cakar, Ufuk Doguc, Jose Ceciliano Meza
Venue: Computers and Industrial Engineering (2006)

When there is a production system with excess capacity, i.e. more capacity than the demand for the foreseeable future, upper management might consider utilizing only a portion of the available capacity by decreasing the number of workers or halting production on some of the machines/production lines, etc. while preserving the flexibility of the production system to satisfy demand spikes. To achieve this flexibility, upper management might be willing to attain some pre-determined/desired performance values in a production system having identical parallel machines in each work center. In this study, we propose a framework that utilizes parallel neural networks to make decisions on the availability of resources, due date assignments for incoming orders, and dispatching rules for scheduling. This framework is applied to a flexible manufacturing system with work centers having parallel identical machines. The artificial neural networks were able to satisfactorily capture the underlying relationship between the design and control parameters of a manufacturing system and the resulting performance targets.
CATIA Based on the Welded Pipe Roll Pass Design
Authors: Xian Yang, Ruitao Liu, Yubin Zhang
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

CATIA is the world's a mainstream CAD /CAE/CAM integration software, which provides CAA, such as VB Automation and secondary development interface. This paper introduced the background of the secondary development of technology and the principle of virtual work, discussion of the pipe based on the CATIA pass design methods, including the use of VB to create CATIA applications, programming ideas, such as concrete steps.
A distributed shifting bottleneck heuristic for complex job shops
Authors: Lars Mönch, René Drieíel
Venue: Computers and Industrial Engineering (2005)

In this paper, we consider distributed versions of a modified shifting bottleneck heuristic for complex job shops. The considered job shop environment contains parallel batching machines, machines with sequence-dependent setup times and reentrant process flows. Semiconductor wafer fabrication facilities are typical examples for manufacturing systems with these characteristics. The used performance measure is total weighted tardiness (TWT). We suggest a two-layer hierarchical approach in order to decompose the overall scheduling problem. The upper (or top) layer works on an aggregated model. Based on appropriately aggregated routes it determines start dates and planned due dates for the jobs within each single work area, where a work area is defined as a set of parallel machine groups. The lower (or base) layer uses the start dates and planned due dates in order to apply shifting bottleneck heuristic type solution approaches for the jobs in each single work area. We conduct simulation experiments in a dynamic job shop environment in order to assess the performance of the heuristic. It turns out that the suggested approach outperforms a pure First In First Out (FIFO) dispatching scheme and provides a similar solution quality as the original modified shifting bottleneck heuristic.
A sensing seat for human authentication
Authors: Marcello Ferro, Giovanni Pioggia, Alessandro Tognetti, Nicola Carbonaro, Danilo De Rossi
Venue: IEEE Transactions on Information Forensics and Security (2009)

This work is focused on the design and the realization of a sensing seat system for human authentication. Such a system may be used for security purposes in trucks, cars, offices, and scenarios where human subject authentication is needed and a seat is available. The sensing seat is realized by a seat coated with a removable Lycra sensing cover equipped with a piezoresistive sensor network. Since each sensor consists of a conductive elastomer composite rubber screen printed onto a cotton Lycra fabric, the sensing cover is able to respond to simultaneous deformations in different areas. This technology avoids the use of rigid electronic components and enables the realization of different cover layouts according to different types of seats. The algorithms for the enrollment, authentication, and monitoring tasks are discussed. A measurement campaign was carried out using data from 40 human subjects. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification.
Two hop amplify-and-forward transmission in mixed rayleigh and Rician fading channels
Authors: Himal A. Suraweera, Raymond H. Y. Louie, Yonghui Li, George K. Karagiannidis, Branka Vucetic
Venue: IEEE Communications Letters (2009)

The performance of a two hop amplify-and-forward relay system, where the source-relay and the relay-destination channels experience Rayleigh and Rician fading respectively, is investigated. We derive exact and lower bound expressions for the outage probability and average bit error probability, where the bounds become tight at high signal-to-noise ratios (SNR). Our results are verified through comparison with Monte Carlo simulations, where we also illustrate the positive impact of the Rician factor on the system performance.
A novel zonal UWB receiver with superior performance
Authors: Hua Shao, Norman C. Beaulieu
Venue: IEEE Transactions on Communications (2009)

A novel ultra-wide bandwidth receiver structure dubbed the "zonal" receiver is based on the qualitative nature of the probability density function of the multiple access interference. It is proposed for time-hopping ultra-wide bandwidth wireless signal detection in multiple access interference channels. In ideal free-propagation channels, the zonal receiver always meets or outperforms the conventional matched filter UWB receiver, the recently proposed soft-limiting UWB receiver and its enhanced version, the adaptive threshold soft-limiting UWB receiver. A new Rake receiver design based on the zonal receiver is proposed for signal detection in multipath fading channels. Simulation results and analysis show that this new Rake receiver can achieve larger signal-to-interference-plus-noise ratio than the standard matched filter Rake receiver when multipath components are resolvable in UWB channels.
Modeling interaction for segmentation of neighboring structures
Authors: Pingkun Yan, Ashraf A. Kassim, Weijia Shen, Mubarak Shah
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

This paper presents a new method for segmenting medical images by modeling interaction between neighboring structures. Compared to previously reported methods, the proposed approach enables simultaneous segmentation of multiple neighboring structures for improved robustness. During the segmentation process, the object contour evolution and shape prior estimates are influenced by the interactions between neighboring shapes consisting of attraction, repulsion, and competition. Instead of estimating the a priori shape of each structure independently, an interactive maximum a posteriori shape estimation method is used for estimating the shape priors by considering shape prior distribution, neighboring shapes, and image features. Energy functionals are then formulated to model the interaction and segmentation. With the proposedmethod, neighboring structures with similar intensities and/or textures, and blurred boundaries can be extracted simultaneously. Experimental results obtained on both synthetic data and medical images demonstrate that the introduced interaction between neighboring structures improves segmentation performance compared with other existing approaches.
Prediction of Transmembrane Helical Segments in Membrane Proteins Using Back Propagation Neural Network with Wavelet Analysis
Authors: Bin Yu
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

Transmembrane proteins possess important physiological function. The increasing transmembrane protein sequences from genome projects raise the needs for theoretical methods to predict their structures, especially transmembrane helical segments (TMHs). wnnTM, a new method of BP neural network based on wavelet multiresolution analysis (MRA) is initially developed to predict the number and location of TMHs in membrane proteins. 80 proteins with known 3D-structure randomly selected from Mptopo database are used as test set to evaluate the prediction accuracy of the method. The final results indicate that the proposed method is more effective than BP neural network model only.
Optimization of transmit-beam number and power allocation for generic correlated MIMO Rayleigh channels
Authors: Jiangyuan Li, Q. T. Zhang, S. H. Song
Venue: IEEE Transactions on Communications (2009)

The optimal transmit-beam number and power allocation over generic correlated multiple-input multiple-output (MIMO) Rayleigh fading channels are investigated. By fully exploiting the algebraic structures and properties of the optimization problem, we obtain a procedure for determining the thresholds of optimal beam number and derive a set of elementary equations for optimal power allocation, which can be efficiently solved by using a Broyden-like method. A closed-form criterion for the optimality of beamforming is also proposed. Numerical results are presented for illustration.
Epistemic frames for epistemic games
Authors: David W. Shaffer
Venue: Computers Education (2006)

This paper, develops the concept of epistemic frames as a mechanism through which students can use experiences in video games, computer games, and other interactive learning environments to help them deal more effectively with situations outside of the original context of learning. Building on ideas of islands of expertise [Crowley, K., & Jacobs, M. (2002). Islands of expertise and the development of family scientific literacy. In G. Leinhardt, K. Crowley, & K. Knutson (Eds.), Learning conversations in museums. Mahwah, NJ: Lawrence Erlbaum], communities of practice [Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press], and ways of knowing [Broudy, H. (1977). Types of knowledge and purposes of education. In R. C. Anderson, R. J. Spiro, & W. E. Montague (Eds.), Schooling and the acquisition of knowledge (pp. 1-17). Hillsdale, NJ: Lawrence Erlbaum], epistemic frames are described as the ways of knowing, of deciding what is worth knowing, and of adding to the collective body of knowledge and understanding of a community of practice. Data from two experiments [Shaffer, D. W. (2004a). Pedagogical praxis: the professions as models for post-industrial education. Teachers College Record, 106(7); Shaffer, D. W. (2004b). When computer-supported collaboration means computer-supported competition: professional mediation as a model for collaborative learning. Journal of Interactive Learning Research, 15(2); Shaffer, D. W. (2005a). Studio mathematics: The epistemology and practice of design pedagogy as a model for mathematics learning (WCER Working Paper Series No. 2005-3). Madison, WI: University of Wisconsin-Madison, Wisconsin Center for Educational Research] are used to show that students can incorporate epistemic frames into their identities when engaged in extended educational role-playing games. Epistemic frames are thus proposed as a possible mechanism through which sufficiently rich experiences in computer-supported games based on real-world practices may help students deal more effectively with situations in the real-world and in school subjects.
Mobile Data Services 2.0: Analysis of 3G and Flat Rate Impacts on Mobile Data Services
Authors: Toshihiko Yamakami
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Emerging 3G services offering flat rates have brought notable impacts on the mobile content providers in Japan. Mobile business 2.0 based on the high speed Internet is discussed. A business model shift caused by 3G and flat rate penetration is analyzed and its implications are presented.
SiGe analog AGC circuit for an 802.11a WLAN direct conversion receiver
Authors: J. P. Alegre, S. Celma, B. Calvo, N. Fiebig, S. Halder
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief presents a baseband automatic gain control (AGC) circuit for an IEEE 802.11a wireless local area network (WLAN) direct conversion receiver. The whole receiver is to be fully integrated in a low-cost 0.25-µm 75-GHz SiGe bipolar complementary metal-oxide-semiconductor (BiCMOS) process; thus, the AGC has been implemented in this technology by employing newly designed cells, such as a linear variable gain amplifier (VGA) and a fast-settling peak detector. Due to the stringent settling-time constraints of this system, a feedforward gain control architecture is proposed to achieve fast convergence. The proposed AGC is composed of two coarse-gain stages and a fine-gain stage, with a feedforward control loop for each stage. It converges with a gain error of below ±1 dB in less than 3.2 µs, whereas the power and area consumption are 13.75 mW and 0.225 mm2, respectively.
Performance comparison of non-data-aided symbol timing-error detection for the raised-cosine and "Better than" raised-cosine pulses
Authors: Seung Joon Lee, Norman C. Beaulieu
Venue: IEEE Transactions on Communications (2009)

The performance of non-data-aided feedback-loop symbol timing synchronization operating with the raised-cosine (RC) and the "better than" raised-cosine (BTRC) pulses is investigated. The individual effects of additive channel noise, self-noise, and their product on the variance of the jitter are studied for the two pulses. The BTRC pulse is shown to have better synchronization performance than the conventional RC pulse, except when the signal-to-noise ratio is very large and the excess bandwidth is large. Furthermore, in the case where a prefilter removing self-noise is employed, the BTRC pulse always has a performance gain over the RC pulse. The gain is, for example, as much as 1.4 dB for excess bandwidth of 0.35 without a prefilter and is larger when the excess bandwidth is smaller or a prefilter is employed.
Computer Aided Decoration of Ceramic Tableware. Part II: Rapid tooling
Authors: Chee Kai Chua, Robert Gay, Wolfgang Hoheisel
Venue: Computers and Graphics (1997)

Computer usage in the ceramic tableware industry has largely been confined to word processing, spreadsheets, database, payroll, inventory and statistical process control. Computer Aided Design and Computer Aided Manufacturing (CAD/CAM) is slowly gaining ground in this industry. The relatively high speed of generating physical designs from conceptualisation using CAD/CAM and Rapid Prototyping have suggested their use for the decoration of ceramic tableware. A CAD/CAM system, or more specifically, Computer Aided Decoration Of Ceramic Tableware (CADOCT), is developed for the design and manufacture of patterns to be decorated on ceramic tableware. Numerous industrial case studies featuring ceramic tableware prototypes are carried out and presented to illustrate the various advantages of using the prototype CADOCT system. These advantages include significant time and cost savings. It also avoids the heavy reliance on traditional practices, and the experience and skills of craftsmen. The major contribution of the research is an innovative approach from art to part, or from conceptualisation to realization, for the decoration of ceramic tableware. In Part I, a study of the problems and the proposed prototype system are described, as well as the solutions of 3-D decoration. In Part II, the application of rapid tooling is described.
Scary films good, scary flights bad: topic driven feature selection for classification of sentiment
Authors: Scott Nowson
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

This paper describes preliminary work on feature selection for classification of review text by both sentiment rating and topic. The premise stems from the notion that one size does not fit all; that feature sets for sentiment analysis should be tailored to the topic of a text. Thus it naturally follows that for this to be effective it is also necessary to first determine the topic of a text. Following successful work on classification of texts by author demographics, a corpus of review texts labelled with attributed rating, topic area, and user demographics has been compiled. This collection was divided for this work into different topic groups in order to automatically classify between both text topic and subjective rating. By using a single supervised statistical approach to feature selection, it is shown that improvements can be made to classification accuracy using topic tuned features sets over more generic features.
An Implementation of Traffic Light System Using Multi-hop Ad hoc Networks
Authors: Imran Shafique Ansari
Venue: Proceedings of the 2009 International Conference on Network-Based Information Systems (2009)

In ad hoc networks nodes cooperate with each other to form a temporary network without the aid of any centralized administration. No wired base station or infrastructure is supported, and each host communicates via radio packets. Each host must act as a router, since routes are mostly multi-hop, due to the limited power transmission set by government agencies, (e.g. the Federal Communication Commission (FCC), which is 1 Watt in Industrial Scientific and Medical (ISM) band. The natures of wireless mobile ad hoc networks depend on batteries or other fatiguing means for their energy. A limited energy capacity may be the most significant performance constraint. Therefore, radio resource and power management is an important issue of any wireless network. In this paper, a design for traffic light system employing ad hoc networks is proposed. The traffic light system runs automatically based on signals sent through a multi-hop ad hoc network of ‘n’ number of nodes utilizing the Token Ring protocol, which is efficient for this application from the energy prospective. The experiment consists of a graphical user interface that simulates the traffic lights and laptops (which have wireless network adapters) are used to run the graphical user interface and are responsible for setting up the ad hoc network between them. The traffic light system has been implemented utilizing A Mesh Driver (which allows for more than one wireless device to be connected simultaneously) and Java-based client-server programs. 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