ppxscal/embedding_network huggingface dataset:
Supporting Ubiquitous Collaboration with Real-Time Facial Animation
Authors: Bo Jiang
Venue: Computer Supported Cooperative Work in Design IV: 11th International Conference, CSCWD 2007, Melbourne, Australia, April 26-28, 2007. Revised Selected Papers (2008)

Exchanging facial video is an efficient way for collaborative awareness. However, collaboration systems are migrating from the traditional circuit-switched environments and local-area-networks (LANs) to Internet and wireless networks. Video-based communication faces new challenges such as low bandwidth, limited computational power, etc. In this paper, we present the two dimensional (2D) facial animation, which is a new visual communication way to support expression awareness for mobile embedded sites. The related prototype system was developed and experiments were carried out. Results show that 2D facial animation provides novel visual communication to collaborative participants and improves emotion awareness in ubiquitous collaborative environment.
Teaching multimedia by using multimedia: remote hands-on teaching
Authors: Alex Krumm-Heller, Anja Wessels, Franco Di Dio
Venue: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (2008)

This paper investigates the development and deployment of a system facilitating the teaching of multimedia application skills. Our contribution is a new approach to supporting remote hands-on training of highly graphical multimedia applications. One popular method of teaching multimedia skills is to use laboratory sessions where students gain skills by completing representative tasks exercising their knowledge of the tools. Usually a teacher will be co-located with the students and can therefore share physical access to each student's computer to collaboratively work with them to answer any questions raised during the lesson. Conducting lessons remotely removes physical co-location. This physical separation of the student from the teacher introduces considerable technical and usability issues, focused around the inability to share physical access to a common computer workspace. Therefore we developed a networked environment to facilitate the distributed educational process and ran a trial to assess the usability of the system.
Peak power control algorithm for multi-processor SoC
Authors: JaeHwan Kim, SungHwan Park, JongWha Chong
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

The present study proposes subtask scheduling for lowering average power and preventing peak power violation in multi-core structure. The proposed algorithm is composed of the partitioning step that divides a task into subtasks using the moving average of power consumption and defines patterns through curve fitting, and the scheduling step that allocates the subtasks to cores and applies dynamic voltage and frequency scaling (DVFS). According to the results of experiment, the algorithm decreased the frequency of peak power by up to around 73% and average power consumption by up to around 18% compared to existing algorithms.
Realization on PSO Based Induction Motor Design Via SPEED/PC-IMD
Authors: C. Thanga Raj, S. P. Srivastava, Pramod Agarwal
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

This paper presents an optimal design and its realization of poly-phase induction motor using Particle Swarm Optimization (PSO). The optimization algorithm considers the efficiency, starting torque and temperature rise as objective function (which are considered separately) and nine performance related items as constraints. The PSO algorithm was implemented on a test motor and the results are compared with the Simulated Annealing (SA) technique and normal design. From the test results PSO gave better results and more suitable to motor’s design optimization. Optimized variables are realized by PC-IMD (Induction Motor Drives) of SPEED (Scottish Power Electronics and Electric Drives) software. C++ code is used for implementing entire algorithms.
Combined circuit architecture for computing normal basis and montgomery multiplications over GF(2m)
Authors: Chin-Chin Chen, Chiou-Yng Lee, Erl-Huei Lu
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

Normal basis and Montgomery multiplications are two popular arithmetic operations in GF(2m). In general, each element representation has its associated different algorithm and hardware multiplication architectures. In this paper, we will present a new combined circuit for computing normal basis and Montgomery multiplications, which is based on a Hankel multiplication. The results reveal that our proposed multiplier has lower space complexity as compared to existing systolic normal basis and Montgomery multipliers. Moreover, the proposed architecture has the features of regularity, modularity and local interconnect ability. Accordingly, it is well suited for VLSI implementation.
AIRSF: a new entertainment adaptive framework for stress free air travels
Authors: Hao Liu, Jun Hu, Matthias Rauterberg
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travels. Based on the passenger's current and target comfort states, user entertainment preference, and context of use, the system uses a Markov decision process to recommend context-aware and personalized stress reduction entertainment to transfer the passenger from the current state to the target comfort state with the minimum time cost if he/she is stressed, or keep the passenger at comfort state with context-aware and personalized non stress induction entertainment if the passenger is not stressed. Compared to the current in-flight entertainment framework, it can regulate the passenger's physical and psychological states to comfort states with context-aware and personalized stress reduction entertainment; Compared to the current entertainment stress reduction methods, it uses a linear bio feedback system to regulate the user to comfort state with context-aware and personalized entertainment recommendation.
Automated extraction of expert knowledge in analog topology selection and sizing
Authors: Trent McConaghy, Pieter Palmers, Georges Gielen, Michiel Steyaert
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

This paper presents a methodology for analog designers to maintain their insights into the relationship among performance specifications, topology choice, and sizing variables, despite those insights being constantly challenged by changing process nodes and new specs. The methodology is to take a data-mining perspective on a Pareto Optimal Set of sized analog circuit topologies, then doing: extraction of a specs-to-topology decision tree; global nonlinear sensitivity analysis on topology and sizing variables; and determining analytical expressions of performance tradeoffs. These approaches are all complementary as they answer different designer questions. Once the knowledge is extracted, it can be readily distributed to help other designers, without needing further synthesis. Results are shown for operational amplifier design on a database containing thousands of Pareto Optimal designs across five objectives.
Factoring User Experience into the Design of Ambient and Mobile Systems
Authors: Michael D. Harrison, Christian Kray, Zhiyu Sun, Huqiu Zhang
Venue: Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007. Selected Papers (2008)

The engineering of ubiquitous computing systems provides important challenges. Not least among these is the need to understand how to implement designs that create a required experience for users. The paper explores a particular class of such systems for built environments. In particular it is concerned with the capture of experience requirements and production of prototypes that create experience. The aim is to develop methods and tools for such environments to enable the creation of particular sorts of experience in users. An approach that combines the use of scenarios, personae and snapshots with the use of prototypes and models is described. The technique aims to elicit an understanding of the required experience of the system and then create a design that satisfies the requirements.
Interpolation by hypercyclic functions for differential operators
Authors: L. Bernal-González
Venue: Journal of Approximation Theory (2009)

We prove that, given a sequence of points in a complex domain @W without accumulation points, there are functions having prescribed values at the points of the sequence and, simultaneously, having dense orbit in the space of holomorphic functions on @W. The orbit is taken with respect to any fixed nonscalar differential operator generated by an entire function of subexponential type, thereby extending a recent result about MacLane-hypercyclicity due to Costakis, Vlachou and Niess.
Variable Step-size CMA Blind Equalization based on Non-linear Function of Error Signal
Authors: Zhang Liyi, Chen Lei, Sun Yunshan
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01 (2009)

Variable step-size was introduced in the constant module blind equalization algorithm (CMA). A nonlinear function of remainder error was taken as a step-size control factor to control the change of step-size. This article proposed a kind of new constant module variable step-size blind equalization algorithm, and analyzed the selection principle of parameters. Theory and simulation indicate that, compared with the traditional constant module blind equalization algorithm, new algorithm has the quicker convergence rate and smaller stable remainder error.
Improving XCS Performance by Distribution
Authors: Urban Richter, Holger Prothmann, Hartmut Schmeck
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

Learning Classifier Systems (LCSs) are rule-based evolutionary reinforcement learning (RL) systems. Today, especially variants of Wilson's eXtended Classifier System (XCS) are widely applied for machine learning. Despite their widespread application, LCSs have drawbacks: The number of reinforcement cycles an LCS requires for learning largely depends on the complexity of the learning task. A straightforward way to reduce this complexity is to split the task into smaller sub-problems. Whenever this can be done, the performance should be improved significantly. In this paper, a nature-inspired multi-agent scenario is used to evaluate and compare different distributed LCS variants. Results show that improvements in learning speed can be achieved by cleverly dividing a problem into smaller learning sub-problems.
Replenishment policies for sustainable business development in a continuous credit based vendor managed inventory distribution system
Authors: L. Antony Michaelraj, P. Shahabudeen
Venue: Computers and Industrial Engineering (2009)

In a credit supply environment in the fast moving consumer goods distribution in the developing countries, retailers are making the payment to the distributors in number of unequal installments. The distributors working with such retailers having different demand and payment policy have to accept delay of payment as a competitive strategy and achieve their own business objectives. Some distributors have the objective of minimizing the balance payment considering the financial safety. Some other distributors have the objective of maximizing the sales with an aim to go beyond business survival. In this paper two models are developed for the above two objectives and optimal replenishment policies are suggested. Genetic Algorithm and the linear programming are used together to solve the models. Two cases of biscuits and confectionery products distribution are taken for study and the results are compared with the existing system.
Valuation of R&D Sequential Exchange Options Using Monte Carlo Approach
Authors: Flavia Cortelezzi, Giovanni Villani
Venue: Computational Economics (2009)

This article describes a methodology for evaluating R D investment projects using Monte Carlo method. R D projects generally involve multiple phases with or without overlapping. R D investments are made often in a phased manner, with the commencement of subsequent phase being dependent on the successful completion of the preceding phase. This is known as sequential investment. Moreover, each stage creates an opportunity (option) for subsequent investment. Therefore, R D projects can be considered as `Compound Options' in which investments present uncertainty both in the gross project value and in their costs. It is possible to use exchange options to value the R D investment opportunities. In this paper, we propose to evaluate the European and American Real Compound exchange options through Monte Carlo simulations. We also provide a set of numerical experiments to provide evidence for the accuracy of the proposed methodology.
Process development in metal/BCB multilayer interconnections of MMCM with embedded chip in Si substrate
Authors: Xiaoyun Ding, Fei Geng, Le Luo
Venue: Microelectronic Engineering (2009)

A vertical interlayer connection via (VILCV) fabrication process is presented. This process is used for the interconnection of multilayer benzocyclobutene (BCB) based microwave multichip modules (MMCM). The excellent planarity of BCB allows VILCV to be formed using gold electroplating or stud bumps prior to BCB application. And mechanical polishing (MP) planarization is adopted to expose the VILCV, enabling interconnection between different layers. Subsequently upper interconnection is patterned. Metal/BCB multilayer structure can be made by repeating above steps. This approach eliminates the need for laser drilling and plasma etching. Both four terminal Kelvin structures and via chains are fabricated as test vehicles. Finally, a transition of transmission lines in different layers and a packaged MMIC embedded in Si substrate are presented and measured in high frequency range up to 20GHz. The results show there is only minimal performance degradation.
Numerical Analysis of a 2d Singularly Perturbed Semilinear Reaction-Diffusion Problem
Authors: Natalia Kopteva
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

A semilinear reaction-diffusion equation with multiple solutions is considered in a smooth two-dimensional domain. Its diffusion parameter &epsilon; 2 is arbitrarily small, which induces boundary layers. We extend the numerical method and its maximum norm error analysis of the paper [N. Kopteva: Math. Comp. 76 (2007) 631&ndash;646], in which a parametrization of the boundary $\partial\Omega$ is assumed to be known, to a more practical case when the domain is defined by an ordered set of boundary points. It is shown that, using layer-adapted meshes, one gets second-order convergence in the discrete maximum norm, uniformly in &epsilon; for &epsilon;&thinsp;&le;&thinsp;Ch. Here h&thinsp;>&thinsp;0 is the maximum side length of mesh elements, while the number of mesh nodes does not exceed Ch &minus;&thinsp;2. Numerical results are presented that support our theoretical error estimates.
Head Pose Estimation in Computer Vision: A Survey
Authors: Erik Murphy-Chutorian, Mohan Manubhai Trivedi
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vision research, identity-invariant head pose estimation has fewer rigorously evaluated systems or generic solutions. In this paper, we discuss the inherent difficulties in head pose estimation and present an organized survey describing the evolution of the field. Our discussion focuses on the advantages and disadvantages of each approach and spans 90 of the most innovative and characteristic papers that have been published on this topic. We compare these systems by focusing on their ability to estimate coarse and fine head pose, highlighting approaches that are well suited for unconstrained environments.
The Day the Earth Stood
Authors: Robin Rowe
Venue: Linux Journal (2009)

Visual effects with Linux.
The Girl Who Cried Flowers
Authors: Umesh Shukla
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

"The Girl Who Cried Flowers" is the first animated film created with Auryn's proprietary watercolor system. Adapted from the inspiring visual fairytale by acclaimed author Jane Yolen, this moving narrative about the beauty of creation and the power of desire is brought to life in a painterly watercolor style.
Security Analysis of the SASI Protocol
Authors: Tianjie Cao, Elisa Bertino, Hong Lei
Venue: IEEE Transactions on Dependable and Secure Computing (2009)

The ultralightweight RFID protocols only involve simple bit-wise operations (like XOR, AND, OR, etc.) on tags. In this paper, we show that the ultralightweight strong authentication and strong integrity (SASI) protocol has two security vulnerabilities, namely denial-of-service (DoS) and anonymity tracing based on a compromised tag. The former permanently disables the authentication capability of a RFID tag by destroying synchronization between the tag and the RFID reader. The latter links a compromised tag with past actions performed on this tag.
Evaluation of arresters' failure probability using ANN
Authors: C. A. Christodoulou, I. A. Stathopulos
Venue: Proceedings of the 8th conference on Systems theory and scientific computation (2008)

Lightning is a major cause of faults on overhead transmission high voltage lines. In order to improve the lightning performance of the lines and to reduce the failure rate, surge arresters are installed between each phase and earth. The failure probability of the arresters can be evaluated using appropriate methodologies and software tools. In the current work an ANN model is used for this purpose. The ANN model, which is trained using the simulation results of Simulink®7.1 package, has five inputs (the tower footing resistance, the peak lightning current, the nominal discharge current of the arrester, the arrester's energy withstand capabilities and the arrester's interval) and one output (the arrester's failure probability). The ANN model's results are compared with the simulation results showing satisfactory agreement.
Discovering Computers 2008: Introductory
Authors: Gary B. Shelly, Thomas J. Cashman, Misty E. Vermaat
Venue:  (2007)

Discovering Computers 2008 provides a current and thorough introduction to computers by integrating usage of the World Wide Web with the printed text. This Shelly Cashman Series text offers a complete and engaging solution to successfully teach basic computer concepts with new exercises, case studies, and online tools on the Online Companion. Updated for currency the latest trends in technology and computer concepts are addressed.
Infostations for highway cigar-shaped cells
Authors: Bazil Taha Ahmed, Miguel Calvo Ramón
Venue: Computer Communications (2009)

An infostation is an isolated pocket area, with small coverage of high bandwidth connectivity, which collects information requests of mobile users and delivers data while users are going through the coverage area. In this paper, the performance of infostations networks with single, double and triple frequencies is studied. The two-slope propagation loss model is used to calculate the signal-to-interference plus noise ratio. The effect of the propagation parameters on the infostation performance is studied.
Tone correctness improvement in speaker-independent average-voice-based Thai speech synthesis
Authors: Suphattharachai Chomphan, Takao Kobayashi
Venue: Speech Communication (2009)

A novel approach to the context-clustering process in a speaker-independent HMM-based Thai speech synthesis is addressed in this paper. Improvements to the tone correctness (i.e., tone intelligibility) of the average-voice and also the speaker-adapted voice were our main objectives. To treat the problem of tone neutralization, we incorporated a number of tonal features called tone-geometrical and phrase-intonation features into the context-clustering process of the HMM training stage. We carried out subjective and objective evaluations of both the average voice and adapted voice in terms of the intelligibility of tone and the logarithmic fundamental frequency (F0) error in our experiments. The effects on the decision trees of the extracted features were also evaluated. Several speech-model scenarios including male/female and gender-dependent/gender-independent were implemented to confirm the effectiveness of the proposed approach. The results of subjective tests revealed that the proposed tonal features could improve the intelligibility of tones for all speech-model scenarios. The objective tests also yielded results corresponding to those of the subjective tests. The experimental results from both the subjective and objective evaluations confirmed that the proposed tonal features could alleviate the problem of tone neutralization; as a result, the tone correctness of synthesized speech was significantly improved.
New Algorithm to Control TCP Behavior over Lossy Links
Authors: M. Alnuem, J. Mellor, R. Fretwell
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

TCP (Transmission Control Protocol) is one of the most used transport protocol in the Internet. Many widely used applications use TCP for sending data like the File Transfer Protocol (FTP), Telnet and Web-HTTP connections. TCP was found to be performing poorly over lossy links when transmission (non-congestion) errors existed. This is due to the fact that TCP is unable to distinguish between congestion and transmission errors, and hence reduces its sending rate for all errors, assuming a congestion exists in the connection path. One solution is to discriminate between errors and deal with each error type differently. In this paper we present a new TCP congestion window cut algorithm to be used by any end-to-end TCP error discriminator when transmission errors occur. Instead of cutting the congestion window to half (like standard TCP) we delay the cut decision until TCP receive all duplicate acknowledgment for a given window of data (packets on flight). This will give TCP a clear image about the number of drops from this window. Then congestion window size is reduced only by number of dropped packets. Using this approach, the new algorithm managed to improve TCP performance in non-aggressive way by increasing the average congestion window size. On the other hand, this algorithm cut the congestion window for both congestion and non-congestion errors which help to reduce the effect of error mismatch on the network. Simulation results shows noticeable improvement when the new technique is added to an error discriminator. Also we discusses some limitations of the new algorithm.
Boolean circuit programming: A new paradigm to design parallel algorithms
Authors: Kunsoo Park, Heejin Park, Woo-Chul Jeun, Soonhoi Ha
Venue: Journal of Discrete Algorithms (2009)

The Boolean circuit has been an important model of parallel computation, but not many parallel algorithms have been designed on this model because it is 'awkward to program.' To overcome this drawback, we propose a description language for designing parallel algorithms on the Boolean circuit. This description language is to parallel algorithms what the pseudo-code is to sequential algorithms. Through example codes, we show that the description language is a convenient tool to design parallel algorithms due to its general iterative and recursive structures and the ease of modular design.