ppxscal/embedding_network huggingface dataset:
Discontinuity detection in multivariate space for stochastic simulations
Authors: Rick Archibald, Anne Gelb, Rishu Saxena, Dongbin Xiu
Venue: Journal of Computational Physics (2009)

Edge detection has traditionally been associated with detecting physical space jump discontinuities in one dimension, e.g. seismic signals, and two dimensions, e.g. digital images. Hence most of the research on edge detection algorithms is restricted to these contexts. High dimension edge detection can be of significant importance, however. For instance, stochastic variants of classical differential equations not only have variables in space/time dimensions, but additional dimensions are often introduced to the problem by the nature of the random inputs. The stochastic solutions to such problems sometimes contain discontinuities in the corresponding random space and a prior knowledge of jump locations can be very helpful in increasing the accuracy of the final solution. Traditional edge detection methods typically require uniform grid point distribution. They also often involve the computation of gradients and/or Laplacians, which can become very complicated to compute as the number of dimensions increases. The polynomial annihilation edge detection method, on the other hand, is more flexible in terms of its geometric specifications and is furthermore relatively easy to apply. This paper discusses the numerical implementation of the polynomial annihilation edge detection method to high dimensional functions that arise when solving stochastic partial differential equations.
A Flexible and Extensible Architecture for Device-Level Service Deployment
Authors: Thomas Frenken, Patrik Spiess, Jürgen Anke
Venue: Proceedings of the 1st European Conference on Towards a Service-Based Internet (2008)

Integration of functionality and information from the Internet of Things (IoT) into the Internet of Services (IoS) is highly desirable but a complex endeavour. One hard to realize aspect is the remote deployment and configuration of services. While this has become commonplace in the business back-end, it is still a topic of research for networked embedded systems, mainly due to great heterogeneity. In this paper, we focus on remote management issues and propose a flexible and extensible architecture for systems performing deployment and configuration of services. The architecture is mainly targeted at environments comprising a large number of networked embedded devices, therefore integrating them effectively with the IoS. The key method of dealing with the observed heterogeneity is the dynamic exchange of algorithms (strategies) for steps of a common deployment process during runtime by configuration. Further on, we present an implementation of the architecture within the domain of future manufacturing.
Hand gesture recognition and virtual game control based on 3D accelerometer and EMG sensors
Authors: Xu Zhang, Xiang Chen, Wen-hui Wang, Ji-hai Yang, Vuokko Lantz, Kong-qiao Wang
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

This paper describes a novel hand gesture recognition system that utilizes both multi-channel surface electromyogram (EMG) sensors and 3D accelerometer (ACC) to realize user-friendly interaction between human and computers. Signal segments of meaningful gestures are determined from the continuous EMG signal inputs. Multi-stream Hidden Markov Models consisting of EMG and ACC streams are utilized as decision fusion method to recognize hand gestures. This paper also presents a virtual Rubik's Cube game that is controlled by the hand gestures and is used for evaluating the performance of our hand gesture recognition system. For a set of 18 kinds of gestures, each trained with 10 repetitions, the average recognition accuracy was about 91.7% in real application. The proposed method facilitates intelligent and natural control based on gesture interaction.
Learning Autodesk Maya 2009 The Modeling & Animation Handbook: Official Autodesk Training Guide (Autodesk Maya Techniques Offical Autodesk Training Guides), Pap/DVD edition
Authors: Autodesk Maya Press
Venue:  (2008)

This exceptional, full-color Autodesk Maya Press title -- produced by Autodesk, the software's creators -- uses an award-winning movie short as the basis for the book's all-new hands-on tutorials. The book provides clear step-by-step projects to help you understand the modeling and animation stages of production. You'll learn how to build models with a variety of surface types and then make them move with a wide range of animation techniques as well as how to make sound decisions from the beginning to save unnecessary challenges further down the pipeline. As a bonus feature, this book also introduces some animation techniques using Alias MotionBuilder.Topics include: Polygon Modeling. NURBS Modeling. General Modeling Issues. Tessalation; Texturing. Using layers to organize your work. Creating Skeleton Chains and edit joint orientation. Setting up Single Chain, Rotation Plane, and Spline IK Solvers. Using Set Driven Key to create powerful yet simple control systems. Understanding and using Forward and Inverse Kinematics. Simulating the deformation of clothing using Wire Deformers and Set Driven Key. Drive joint rotation with a Blendshape Slider to help consolidate control windows. Using Pole Vector constraints as a fast and easy way of achieving realistic motion in arms and legs. Creating complex and subtle character deformations through the use of Clusters and Lattice. Order your copy today.
Empirical Evaluation of Character Classification Schemes
Authors: Neeba N.V, C. V. Jawahar
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

In this paper, we empirically study the performance of a set of pattern classification schemes for character classification problems. We argue that with a rich feature space, this class of problems can be solved with reasonable success using a set of statistical feature extraction schemes. Experimental validation is done on a data set (of more than 500000 characters) collected and annotated from books printed primarily in Malayalam. Scope of this study include (a) applicability of a spectrum of classifiers and features (b) scalability of classifiers (c) sensitivity of features to degradation (d) generalization across fonts and (e) applicability across scripts.
Streaming Video with Transformation-Based Error Concealment and Reconstruction
Authors: Benjamin W. Wah, Xiao Su
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

Real-time video streaming over the Internet requires robust delivery mechanisms with low overhead. Traditional error control schemes are not attractive because they either add redundant information that may worsen network traffic, or rely solely on the inadequate capability of the decoder to do error concealment. As sophisticated concealment techniques cannot be employed in a real-time software playback scheme, we propose in this paper a simple yet efficient transformation-based error concealment algorithm. The algorithm applies a linear transformation to the original video signals with the objective of minimizing the mean squared error if missing information were restored by simple averaging at the destination. We also describe two strategies to cope with error propagation in temporal differentially coded frames. Experimental results show that our proposed transformation-based reconstruction algorithm performs well in real Internet tests.
Improvement of dynamic characteristics of polydimethylsiloxane based microvalve
Authors: Gyu-Sik Ra, Sandeep Kumar Jha, Tae-Sik Yoon, Hyun Ho Lee, Yong-Sang Kim
Venue: Microsystem Technologies (2009)

Microfluidics is an indispensable part of micro total analysis system (&#x03bc;-TAS) and lab-on-a-chip analysis systems. While most of the work in this area has focused on MEMS based actuation with micropumps and microvalves, polymer based Paraffin actuator is an attractive alternative in terms of ease in fabrication and low cost. While we made previous attempts in fabricating polydimethylsiloxane (PDMS) based devices, it suffered a drawback of low flow rates in the microchannel due to adherence of PDMS to the channel substratum. In the current work, we focused on improvement of mechanical properties of the PDMS membrane by altering prepolymer to crosslinker ratio. We found that a ratio of 100:15 produced sufficient tensile strength to the membrane and also enhanced actuation characteristics of microvalve fabricated with it.
Distributed processing with the Z8000 family
Authors: Richard Mateosian, Janak Pathak
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

The Z8000 Family plan philosophy envisions a distributed processing approach to many Z8000 applications. The Z8000 Family consists of CPUs, CPU support circuits, and a full complement of VLSI peripherals. These components are all integrated by the Z-BUS, which defines the interconnections and transactions among them. The basic philosophy of the family plan is that of distribution of intelligence and function among complementary VLSI components. Of the several possible realizations of this philosophy, the one chosen has the following major aspects: 1. Synchronization primitives in bus and component architectures 2. Extensively programmable VLSI peripherals and CPU support circuits 3. Bus support for cooperative transactions 4. Built-in support for interprocess message passing
Physiological parameters and virtual reality technology in the phobias treatments
Authors: Mauricio Plazas Torres
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

The level of the phobia condition and his progress is done by the evaluation that the doctor does of the patient, without having a certain control of the variables of measurement that show an indication of the medical evolution. The possibility of discovering some variables that might be measured and of being able to determine the evolution of the patient and the level of the illness, is an instrument of the big utility for the doctor. The article talks about the efforts to carry out a research with the goal of measuring vital signs on people who are placed in relaxed environment and then compare them with vital sign measured under condition of a artificially environment. At the end of this research, we are trying to determine if the virtual environment has any influence in the person's psychological change seen through the changes of the controlled vital signs.
Operating systems on a stick
Authors: Eric Shade
Venue: Journal of Computing Sciences in Colleges (2009)

Though most of our computer science curriculum is operating-system agnostic, Windows is installed on our lab machines and most of our students' computers, but we require Linux in our operating systems course. What is the best way to provide a Linux environment for students to use both at home and in our labs? We revisit the traditional solutions to this problem in light of recent trends in network security and virtualization, then explain our current solution, which is to provide a custom 768MiB Ubuntu JeOS virtual machine on a USB flash drive.
Research on Auto Compensation Technique of Strap-down Inertial Navigation Systems
Authors: Lun-dong Zhang, Jun-xiang Lian, Mei-ping Wu, Zhi-qiang Zheng
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

Inertial measurement unit(IMU), consisted of three mutually-perpendicular Ring Laser Gyros（RLG） and three accelerometers, is an important part of RLG -based strap-down inertial navigation systems(SINS). RLG provides measurement of change in vehicle attitude or its turn rate with respect to inertial space. Accelerometer provides measurement of specific force. These measurements provided by gyros and accelerometers are calculated to obtain the desired attitude, velocity and position information with respect to a pre-defined reference frame. So the accuracy of SINS clearly depends on the accuracy of the gyros and accelerometers. In order to improve the accuracy of SINS, auto compensation techniques of rotation is used. With IMU rotating about one or two axis of the vehicle, the bias errors of gyros and accelerometers may be modulated into periodical variable signal. So the modulated sensor errors reduce SINS errors. The theory of rotation auto compensation technique is analyzed. Single channel error propagation equations based on rotation compensation are derived. The simulation experiments of the SINS are carried out. Analytic results and the simulation results indicate that, with the help of rotation auto compensation, the effect of gyro’s random drift and accelerometer’s bias on SINS errors is greatly reduced.
Average distances and distance domination numbers
Authors: Fang Tian, Jun-Ming Xu
Venue: Discrete Applied Mathematics (2009)

Let k be a positive integer and G be a simple connected graph with order n. The average distance @m(G) of G is defined to be the average value of distances over all pairs of vertices of G. A subset D of vertices in G is said to be a k-dominating set of G if every vertex of V(G)-D is within distance k from some vertex of D. The minimum cardinality among all k-dominating sets of G is called the k-domination number @c"k(G) of G. In this paper tight upper bounds are established for @m(G), as functions of n, k and @c"k(G), which generalizes the earlier results of Dankelmann [P. Dankelmann, Average distance and domination number, Discrete Appl. Math. 80 (1997) 21-35] for k=1.
Generic Film Forms for Dynamic Virtual Video Synthesis
Authors: Craig A. Lindley
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

The FRAMES project within the RDN CRC (Cooperative Research Centre for Research Data Networks) is developing an experimental environment for video content-based retrieval and dynamic virtual video synthesis from archives of video data. The FRAMES research prototype is a video synthesis system incorporating an association engine for automatically generating associative sequences of video data. Authors preparing video descriptions, association specifications, and component video sequences require guidelines for developing the primitive video components and semantic representations required to create particular film forms. High level formal models of film and video provide such a methodology. In particular, categorical, associational, and abstract film forms can be generated based upon video component descriptors and specifications, while narrative and rhetorical forms require the introduction of independent rules or relations expressing causal and rhetorical relationships, respectively.
Proceedings of the May 16-19, 1983, national computer conference
Venue: AFIPS Joint Computer Conferences (1983)

A very bright and dedicated group of computing professionals has labored long and hard to develop a high-quality technical program for the 1983 NCC. These Proceedings represent a printed record of many of the presentations planned for the conference educational program. This collection should provide valuable reference material to computing professionals in years to come. In addition to the papers included in the Proceedings and presented at the 1983 NCC, many panelists and speakers also participate, making a complete NCC educational program. I hope that you will find time to attend one or more of these valuable sessions and that this volume of the Proceedings will be a useful source of information for you in later years. 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
Vehicle Detection from Aerial Images Using Local Shape Information
Authors: Jae-Young Choi, Young-Kyu Yang
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

Detection and extraction of vehicle objects in high resolution satellite imagery are required in many transportation applications. This paper presents an approach to automatic vehicle detection from aerial images. The initial extraction of candidate vehicle is based on Mean-shift algorithm with symmetric character of blob-like car structure. By fusing the density and the symmetry, the method can remove the ambiguous blobs and reduce the cost of the detected ROI processing in the subsequent stage. To verify the blob as a vehicle, log-polar shape descriptor is used for measuring similarity. The edge strengths are obtained and represented as its spatial histogram by the orientation and distance from the center of blob. The proposed algorithm is able to successfully detect the vehicle and very useful for the traffic surveillance system.
Integrating data-intensive scalable computing into the computer science curriculum
Authors: Alice E. Fischer, Gregory Kesden, John P. Dougherty, Mark E. Hoffman
Venue: Journal of Computing Sciences in Colleges (2009)

The participants in this panel all attended the Data-Intensive Scalable Computing in Education (DISC-E) workshop at the University of Washington in July 2008. Data-Intensive Scalable Computing (DISC) focuses on efficient organization, storage, and processing of massive data sets stored in distributed file systems. For organizations like Google, Amazon, Facebook, and Yahoo! where massive data sets are an everyday issue, knowledge of the related issues and the ability to solve related problems is critical when considering new employees. The goal of the workshop was to "inspire the development of new coursework in large-scale data-intensive application design and cluster computing." At the workshop, the participants discussed various strategies for integrating DISC into the computer science curriculum and courses at all levels: from introductory computing to upper-level and capstone courses. The participants in this panel will discuss how they see DISC, and parallelism in general, as part of the computer science curriculum. Participants will discuss how they have used what they learned at the workshop in courses and how they foresee using itin the future.
A simulator to improve waiting times at a medical imaging center
Authors: Francisco J. Ramis, Felipe Baesler, Edgar Berho, Liliana Neriz, Jose A. Sepulveda
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Medical Imaging Centers (MIC) are critical units in every hospital or medical center because they are an important step in generating a patient's diagnostic. This paper shows a simulator designed to facilitate the development of simulation studies of MIC, which departs from traditional modeling because it uses a pull paradigm for the patients. A group technology approach was used to minimize the number of objects in the simulator, which includes objects that have the functionality of the equipments and processes found in these facilities, so that the analyst only needs to provide the parameters of the center. All the data is provided to the simulator through a Graphic User Interface (GUI), requiring no programming capacities. As an application of the simulator, an example is provided where the simulator is used to improve the waiting times and equipment rate of utilization at a research hospital in Chile.
Adaptive Beamforming for Co-channel Interference Cancellation in STC-OFDM Systems
Authors: Thanit Charoenyingsomboon, Raungrong Suleesathira
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01 (2009)

Recently, the space-time coded orthogonal frequency division multiplexing (STC-OFDM) system is a promising scheme for broadband communications due to the benefits from the diversity gain within multiple input multiple output (MIMO) of space-time coding (STC) and the OFDM modulation technique to mitigate inter-symbol interferences (ISI). However, STC insults in an impairment of the system ability to suppress interferences as the signals transmitted from two transmit antennas are superposed and interfered at the receive antennas. In this paper, we developed an adaptive beamforming based on minimum mean squared error (MMSE) algorithm with broad null synthesis to reduce co-channel interferences (CCI) for the STC-OFDM system. We compare the proposed beamformer with the null steering beamformer which requires known directions of arrival (DOAs). The space-time decoder corresponding to both beamformers are given by the maximum likelihood rules. The performance improvement is achieved as shown from the simulation results.
Efficient selection of relay vehicles for broadcasting on vehicular ad-hoc networks
Authors: Shun-Ren Yang, Wei-Hsiang Hung
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

In the high-speed mobility environment of Vehicular Ad-hoc Networks (VANETs), frequent out-of-range failure transmissions due to the change of relative speeds may decrease the reachability of safety message broadcasting. In this paper, we derive the failure transmission probability for Directional Broadcast (DIB) protocol to investigate the effects of relative speed between the sender and the receiver on out-of-range failure transmissions. We then propose the Enhanced Directional Broadcast (EDIB) based on DIB protocol to reduce the occurrences of failure transmissions. In EDIB protocol, when we select the vehicles to rebroadcast warning messages, we pick the farthest vehicle from the vehicles that could receive warning messages completely with high probability according to the relative speeds between the sender and the receiving vehicles. Besides, we utilize the Distance Defer Transmission (DDT) protocol to reduce the relay vehicle selection time during multi-hop broadcasting transmissions. We also conduct simulation experiments to show the performance of EDIB protocol compared with DIB. Our results indicate that although the number of relay operations in our EDIB protocol is higher than that in the DIB protocol, EDIB outperforms DIB in terms of the transmission reachability, the single-hop transmission time, and the relay vehicle selection time.
The number of independent sets in unicyclic graphs with a given diameter
Authors: Shuchao Li, Zhongxun Zhu
Venue: Discrete Applied Mathematics (2009)

Let U"n","d denote the set of unicyclic graphs with a given diameter d. In this paper, the unique unicyclic graph in U"n","d with the maximum number of independent sets, is characterized.
A novel page-based data structure for interactive walkthroughs
Authors: Behzad Sajadi, Yan Huang, Pablo Diaz-Gutierrez, Sung-Eui Yoon, M. Gopi
Venue: Proceedings of the 2009 symposium on Interactive 3D graphics and games (2009)

Given a data layout of a large walkthrough scene, we present a novel and simple spatial hierarchy on the disk-pages of the layout that has notable advantages over a conventional spatial hierarchy on the scene geometry. Assume that each disk-page consists of a set of triangles whose bounding boxes are computed. A spatial hierarchy of the walkthrough space is constructed, not with the given scene, but with the bounding boxes of disk-pages. The leaf nodes of the spatial-hierarchy refer directly to the page numbers of the pages of the bounding box it contains. We call this hierarchy on the pages as the disk-page hierarchy. We also propose a self-contained disk-page format that would suit this data structure well. Further, we present a new cache-oblivious graph-based data layout algorithm called the 2-factor layout that would preserve the proximity and orientation properties of the primitives in the layout. Walkthrough experiments have been conducted on a city scene consisting of over 110M triangles. Our system renders this scene on a laptop within a one pixel projection error at over 20 fps with simple texture substitution based simplification of distant objects, and with no explicit data/cache management.