ppxscal/embedding_network huggingface dataset:
Low-overhead scheduling algorithms for OFDMA relay networks
Authors: Karthikeyan Sundaresan, Xiaodong Wang, Mohammad Madihian
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

Enhanced data rates and connectivity are key requirements for providing ubiquitous mobile access in next-generation cellular networks. Relay-enabled cellular networks, marked by their adoption in IEEE 802.16j standard, have become a viable candidate in such an endeavor. Such relay networks not only provide multi-user and (OFDM) channel diversity gains that are available in conventional cellular systems, but also provide spatial reuse gains, arising from the simultaneous transmissions on different hops of the network on the same channel. However, the efficient exploitation of these gains, calls for intelligent scheduler design at the BS that must not only accommodate the multi-hop nature of the network, but also address the resulting significant overhead incurred in the form of feedback. In this work, we present relay-assisted scheduling algorithms that efficiently exploit the available diversity and spatial reuse gains at the cost of minimal feedback overhead. The proposed solutions improve performance over conventional approaches by over 50% along with a scalable feedback overhead that grows only with the number of relays in the network and not with the number of users.
Solution of turbulent flow using a Cartesian grid based numerical scheme
Authors: Jae-Doo Lee, Stephen M. Ruffin
Venue: Proceedings of the 15th american conference on Applied mathematics (2009)

Despite the high cost of memory and CPU time required to resolve the boundary layer, a viscous unstructured grid solver has many advantages over a structured grid solver such as the convenience in automated grid generation and vortex capturing by solution adaption. In present study, an unstructured Cartesian grid solver is developed on the basis of the existing viscous solver, NASCART-GT. Instead of a cut-cell approach, an immersed boundary approach is applied with ghost cell boundary condition, which can be easily applied to a moving grid solver. The standard k-Ɛ model by Launder and Spalding is employed for the turbulence modeling, and a new wall function approach is devised for the unstructured Cartesian grid solver. In this study, the methodology is validated and the efficiency of the developed boundary condition is tested in 2-D flow field around a flat plate, NACA0012 airfoil, and axisymmetric hemispheroid.
Agents Preferences in Decentralized Task Allocation
Authors: Mark Hoogendoorn, Maria L. Gini
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

The ability to express preferences for specific tasks in multi-agent auctions is an important element for potential users who are considering to use such auctioning systems. This paper presents an approach to make such preferences explicit and to use these preferences in bids for reverse combinatorial auctions. Three different types of preference are considered: (1) preferences for particular durations of tasks, (2) preferences for certain time points, and (3) preferences for specific types of tasks. We study empirically the tradeoffs between the quality of the solutions obtained and the use of preferences in the bidding process, focusing on effects such as increased execution time. We use both synthetic data as well as real data from a logistics company.
Introduction of first passage time (FPT) analysis for software reliability and network security
Authors: Zhanshan (Sam) Ma, Axel W. Krings, Richard C. Millar
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

The study of the First Passage Time (FPT) problem (also known as first passage problem, FPP) started more than a century ago, but its diverse applications in science and engineering mostly emerged in the last two to three decades. Assuming that X(t) is a one-dimensional stochastic process, the First Passage Time is defined as the time (T) when X(t) first crosses a threshold. Engineering reliability is obviously a suitable application domain, and indeed applications such as optimal dam design in hydrology and analysis of structural failure in civil and mechanical engineering are typical examples. Although we envision that the FPT problem has great potential in network and software reliability, it should be more useful for network security and survivability because the approaches developed for the FPT problem are mostly analytical. The assumption for this inference is that in reliability analysis, experimental or historical data are often more readily available, which makes statistical approaches such as survival analysis more convenient and likely more realistic. In contrast, data is generally more difficult to obtain in security and survivability analyses, and analytical approaches can be leveraged to play more important roles. Furthermore, security and survivability often have to deal with malicious actions that may be driven by sophisticated cognition and behavioral processes, which are highly variable over time and very difficult to detect with short term data. If the behavior of an intruder can be characterized with some stochastic process such as Brownian motion, then the FPT approach may be applied to find the closed-form solution of the probability density function (PDF) of the first passage time, which can be the time when the system breaks down or when the hacker is successful in compromising a network. In addition, the solutions to FPT depend on boundary and initial conditions of the corresponding partial differential equations, and they also describe the evolution of PDF over time. This may suggest that it is possible to model the behavior changes of an intruder over time and circumstances. Another advantage of FPT analysis is that it may help solve some non-Markov stochastic process problems in reliability analysis and survival analysis. In this article, we first briefly introduce the FPT problem with Brownian motion as an example, and then suggest its potential applications in software reliability and network security.
A Cognitive Substrate for Natural Language Understanding
Authors: Nicholas L. Cassimatis, Arthi Murugesan, Magdalena D. Bugajska
Venue: Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference (2008)

Our goal is to understand human language use and create systems that can use human language fluently. We argue that to a achieve this goal, we must formulate all of the problems for language use from morphology up to pragmatics using the same cognitive substrate of reasoning and representation abilities. We propose such a substrate and described systems based on it. Our arguments, results with real-world systems and ongoing work suggest that the cognitive substrate enables a significant advance in the power of cognitive models and intelligent systems to use human language.
An effectiveness measurement model for knowledge management
Authors: Yuan-Feng Wen
Venue: Knowledge-Based Systems (2009)

The aim of this study is to develop a model for the measurement of the effectiveness of knowledge management in Taiwanese high-tech enterprises. Following a survey of the relevant literature on the subject, the study describes the construction of the model - including the opinions of specialists, scholars, and practitioners of knowledge management practice among Taiwan's high-tech firms, the use of focus groups, the application of analytic hierarchy process (AHP), and a questionnaire analysis of qualitative and quantitative methods. The study summarizes the experts' opinions, selects the measurement indicators, and calculates the weightings of dimensions and items. An empirical study is then conducted to test the validity and reliability of the model, and its suitability for improving the measurement of knowledge management effectiveness in high-tech firms.
Inference of Differential Equations for Modeling Chemical Reactions
Authors: Bin Yang, Yuehui Chen, Qingfang Meng
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

This paper presents an evolutionary method for identifying a system of ordinary differential equations (ODEs) from the observed time series data. The structure of ODE is inferred by the Multi Expression Programming (MEP) and the ODE's parameters are optimized by using particle swarm optimization (PSO). The experimental results on chemical reaction modeling problems show effectiveness of the proposed method.
A soft computational approach to the modeling of the taste system
Authors: Harold W. Lewis,  III
Venue:  (2008)

Understanding the circuitry of the nucleus of the solitary tract (NTS), the first relay in the gustatory system, is a fundamental step for the full comprehension of the sense of taste and its mechanisms. In this present work results from research on gustatory anatomy, physiology, and adaptation and cross-adaptation processes were used to build a computational model that could suggest a NTS circuit. This circuit was then used as a model to test the two most influential taste coding theories (labeled line theory and the across fiber patter theory).Adaptation and cross-adaptation were used in this model because their mechanisms of action are not fully understood and cannot be targeted to a single area of the nervous system. These two phenomena have been used and are still currently used to support different theories on how the taste system encodes information. My simulation model outputs are neuronal firing from a single taste-sensitive NTS cell after adaptation has occurred. The model showed adaptation to one of the following peripheral stimuli representing the four prototypical taste qualities: sucrose for sweet, NaCl for salty, HCl for sour, and quinine HCl for bitter. More generally, the model was set to run experiments to test the efficacy of taste coding theories, the importance of glossopharyngeal information, and the role of descending projections into the NTS as well as the role of internerurons. Various types of Artificial Neuronal Networks were built and successfully used to refine the final post-adaptation results.As an appendix, the roles of computer science and systems science in understanding the mind are discussed.
Visually dependent nonverbal cues and video communication
Authors: John Canny
Venue:  (2008)

Humans have a rich verbal and nonverbal language that allows us to communicate in powerful ways. Technology continues to play a significant role in enabling and enhancing the ways we communicate with each other when we are geographically separated. Machines capture our expressions and transmit them anywhere in the world for distant partners. But how expression is captured and how it is presented can have surprising effects on the way people communicate. In this dissertation, I present background, designs, and evaluations of a new video conferencing system called MultiView which aims to improve the group-to-group video conferencing experience. I will (1) show the dependence of spatial information for the effective communication of nonverbal information such&mdash;as eye contact&mdash;and formalize the spatial shortcomings of modern video conferencing system design, (2) introduce a design based on a new multiple-perspective display to address these shortcomings, and (3) show that the MultiView design can effectively capture and present nonverbal cues in a natural way and that this new ability dramatically improves trust formation between remotely meeting groups.
Single-wafer die-level fusion bonding process for multi-layer devices
Authors: Haifeng Dong
Venue: Microsystem Technologies (2009)

Single-wafer die-level fusion bonding (SDFB) process is proposed, which can reduce the mask number and fabrication time in the prototype research of multi-layer fusion bonding devices. The conception and scheme are illustrated using micro gas turbine of MIT as an example. The techniques to etch different mask and depth in a single-wafer are listed and analyzed. The alignment compensation mechanism in the SDFB is also discussed which can avoid the photolithography misalignment and improve the precision between key layers. The advantages and disadvantages of SDFB are analyzed in detail. The feasibility of the scheme is verified by the experiment. Besides micro gas turbine of MIT, the SDFB process can also be used in other multi-layer fusion bonding devices such as ultra thick proof mass inertial sensors, multi-layer fluidic devices, etc. 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
PDF Forms Using Acrobatand LiveCycle Designer Bible
Authors: Ted Padova, Angie Okamoto
Venue:  (2009)

This comprehensive guide to creating fillable forms with the latest release of Adobe Acrobat is packed with real-world insights and techniques gained from daily use of Adobe Acrobat and Adobe LiveCycle Designer under business deadline situations. Youll get step-by-step instructions that show you how to easily create and implement interactive PDF forms using both Adobe Acrobat and Adobe LiveCycle Designer.
Efficient integration of fine-grained access control and resource brokering in grid
Authors: P. Mazzoleni, B. Crispo, S. Sivasubramanian, E. Bertino
Venue: The Journal of Supercomputing (2009)

In this paper, we present a novel resource brokering service for grid systems which considers authorization policies of the grid nodes in the process of selecting the resources to be assigned to a request. We argue such an integration is needed to avoid scheduling requests onto resources the policies of which do not authorize their execution. Our service, implemented in Globus as a part of Monitoring and Discovery Service (MDS), is based on the concept of fine-grained access control (FGAC) which enables participating grid nodes to specify fine-grained policies concerning the conditions under which grid clients can access their resources. Since the process of evaluating authorization policies, in addition to checking the resource requirements, can be a potential bottleneck for a large scale grid, we also analyze the problem of the efficient evaluation of FGAC policies. In this context, we present GroupByRule, a novel method for policy organization and compare its performance with other strategies.
Designing and implementing prototype models for an integration of near-real-time data warehousing architecture with service-oriented architecture
Authors: Peter H. Chang
Venue:  (2008)

The research study provides a prototype model concept for the business plan for starting a near-real-time data warehousing and service-oriented architecture to support decision making, operational business processes, and sharing of knowledge across a large distribution and trading organization located in United States. The dissertation will explore the questions for the research, data analysis and synthesis methods, and the scope and limitations of the business plan. The dissertation includes the abstract of the problem and the statement of the problem, including the definition of the problem. The dissertation further includes research objectives, and literature review. Dissertation also includes the methodology of the data collection, data analysis, reliability and validity, demonstration of concept, conclusions, limitations, and recommendations of the business plan of the organization.
Finite element model for a stationary transport problem
Authors: Nikos Mastorakis, Olga Martin
Venue: Proceedings of the 2nd conference on European computing conference (2008)

We present a method that replaces a boundary value problem for an integral-differential equation with a boundary value problem for the diffusion equation. The finding of its solution is reduced to the problem of minimizing of a functional by using the method of finite elements. The numerical examples allow us a detailed analysis of the calculus errors.
Heart rate control of exercise video games
Authors: Tadeusz Stach, T. C. Nicholas Graham, Jeffrey Yim, Ryan E. Rhodes
Venue: Proceedings of Graphics Interface 2009 (2009)

Exercise video games combine entertainment and physical movement in an effort to encourage people to be more physically active. Multiplayer exercise games take advantage of the motivating aspects of group activity by allowing people to exercise together. However, people of significantly different fitness levels can have a hard time playing together, as large differences in performance can be demotivating. To address this problem, we present heart rate scaling, a mechanism where players' in-game performance is based on their effort relative to their fitness level. Specifically, heart rate monitoring is used to scale performance relative to how closely a person adheres to his/her target heart rate zone. We demonstrate that heart rate scaling reduces the performance gap between people of different fitness levels, and that the scaling mechanism does not significantly affect engagement during gameplay.
Semi-automated evaluation tool for retinal vasculopathy
Authors: X. Benavent, L. Martínez-Costa, G. Ayala, J. Domingo, P. Marco
Venue: Computer Methods and Programs in Biomedicine (2009)

The ocular fundus is the only area of human body where vascular system is visible using relatively simple instrumentation. Furthermore, there is medical suggestive evidence of a direct relationship between certain measures of vascular characteristics in the ocular fundus (arteriolar and venular calibers and focal arteriolar narrowing) and cardiovascular diseases. In order to establish such relationship on sound statistical basis a method must be provided to measure the needed values in an easy, yet precise and repeatable way. This paper presents a system to assist physicians in signaling and storing the data associated to signs of vascular deterioration and vascular calibers in non-mydriatic ocular fundus images. The system is built around a graphical user interface that, even not fully automatic, guides the practitioner to mark certain anatomic visible features in an easy and precise way. The data are exported in common database formats for further processing and a statistical summary is also presented.
Robustness of interval gene networks with multiple time-varying delays and noise
Authors: Yi Wang, Jianwei Shen, Baoguo Niu, Zengrong Liu, Luonan Chen
Venue: Neurocomputing (2009)

In this paper, we investigate the problem how to establish the robust stability of uncertain gene networks with time-varying delays and noise. Specifically, we consider uncertain gene networks where the regulation occurs at the mRNAs level, and we obtain a sufficient condition for robust stability by Lyapunov method and inequality technique. Moreover, we show that these condition can be formulated as linear matrix inequalities (LMIs), which are easy to be verified by the convex optimization. Finally, two of the most common motifs are investigated to illustrate the effectiveness and the correctness of our results.
Lanthanum germanate as dielectric for scaled Germanium metal-oxide-semiconductor devices
Authors: C. Andersson, C. Rossel, M. Sousa, D. J. Webb, C. Marchiori, D. Caimi, H. Siegwart, Y. Panayiotatos, A. Dimoulas, J. Fompeyrine
Venue: Microelectronic Engineering (2009)

We report a study of La"2O"3 with lanthanum germanate (LGO) as interfacial layer, or LGO alone as a gate dielectric candidate for scaled germanium metal-oxide-semiconductor devices. Capacitance-voltage (C-V) analysis of as-deposited samples of various oxide thicknesses show a La"2O"3 with k value of ~24-27 with an interfacial LGO with k value of ~12. Upon O"2 annealing, the oxides fully transform into LGO without an interfacial layer. The paper also discusses flatband voltage (V"f"b) shifts with oxide thickness, from which positive fixed charges in La"2O"3 can be deduced. It is also shown that these charges are strongly reduced upon the O"2 anneal and LGO formation.
Intellectual property protection in Concurrent Engineering domains
Authors: Lionel Antegnard, Harald Liese, Josip Stjepandic
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

In the age of the globalism the data product definition exchange becomes between the different parties in the creation of value chain, a natural form of business communication. The status of the Knowledge Based Engineering application, the problems with the protection of the Intellectual Property and exemplarily solutions for their protection are explained in the available contribution.
Active learning with confidence
Authors: Mark Dredze, Koby Crammer
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence into the margin by using a newly introduced online learning algorithm and show empirically that confidence improves active learning.
The impact of imperfect ground reference data on the accuracy of land cover change estimation
Authors: Giles M. Foody
Venue: International Journal of Remote Sensing (2009)

Error in the ground reference data set used in studies of land cover change can be a source of bias in the estimation of land cover change and of change detection accuracy. The magnitude of the bias introduced may be very large even if the ground reference data set is of a high accuracy. Sometimes the bias is of a predictable systematic nature and so may be reduced or even removed. The impacts of ground reference data error on the accuracy of estimates of the extent of change and on change detection accuracy were explored with simulated data. In one scenario illustrated, the producer's accuracy of change detection was estimated to be ∼61% when in reality it was 80%, the substantial underestimation of accuracy arising through the use of a ground reference data set with an accuracy of 90%. In the same scenario, the extent of change was also substantially overestimated at 26%, when in reality a change of only 20% had occurred. Reducing the effect of error in ground reference data will enable more accurate estimation of land cover change and a more realistic appraisal of the quality of remote sensing as a source of data on land cover change.
Large Connectivity for Dynamic Random Geometric Graphs
Authors: Josep Díaz, Dieter Mitsche, Xavier Pérez-Giménez
Venue: IEEE Transactions on Mobile Computing (2009)

We provide the first rigorous analytical results for the connectivity of dynamic random geometric graphs—a model for mobile wireless networks in which vertices move in random directions in the unit torus. The model presented here follows the one described in [11]. We provide precise asymptotic results for the expected length of the connectivity and disconnectivity periods of the network. We believe that the formal tools developed in this work could be extended to be used in more concrete settings and in more realistic models, in the same manner as the development of the connectivity threshold for static random geometric graphs has affected a lot of research done on ad hoc networks.
Further 6-sparse Steiner Triple Systems
Authors: A. D. Forbes, M. J. Grannell, T. S. Griggs
Venue: Graphs and Combinatorics (2009)

We give a construction that produces 6-sparse Steiner triple systems of order v for all sufficiently large v of the form 3p, p prime and p &#x2261; 3 (mod 4). We also give a complete list of all 429 6-sparse systems with v < 10000 produced by this construction.