ppxscal/embedding_network huggingface dataset:
Interoperable augmented web browsing for exploring virtual media in real space
Authors: Ryong Lee, Daisuke Kitayama, Yong-Jin Kwon, Kazutoshi Sumiya
Venue: Proceedings of the 2nd International Workshop on Location and the Web (2009)

Although location-based information systems can now be accessed from mobile devices, searching for information from an outdoor environment requires a significant amount of effort given the time-consuming manipulations that need to be made. Augmented-Reality (AR) based systems can help resolve these issues by reducing the physical effort required to input keywords onto a small keyboard, and the mental effort necessary to review the search results. But most AR systems do not consider media sharing environments where individual systems are not interoperable in respect of their media and browsing abilities. In this paper, we focus on a media environment for interoperable augmented-reality systems, making the assumption that such devices will become more wide spread and that many people will share individual media in a real-world space. Furthermore, we describe such emerging scenarios and new research issues. We also present a model to manage the futuristic data, making it similar to existing physical media, and show a practical example using the system we have developed.
CONLAN: a formal construction method for hardware description languages: language derivation
Authors: Robert Piloty, Mario Barbacci, Dominique Borrione, Donald Dietmeyer, Fredrick Hill, Patrick Skelly
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

A CONLAN document has significance only if it is read by a person or machine. That reader (environment) is required to use available facilities to respond to and interact with the document. It must provide the type checking mechanism. It must record the names of defined and declared items and provide the data base they require. It must record signal values. From such records, it can determine facts of importance to continued document evaluation. "System interfaces" are prescribed environment responses, not formally defined via CONLAN syntax.
A new algorithm for simultaneous gate sizing and threshold voltage assignment
Authors: Yifang Liu, Jiang Hu
Venue: Proceedings of the 2009 international symposium on Physical design (2009)

Gate sizing and threshold voltage (Vt) assignment are popular techniques for circuit timing and power optimization. Existing methods, by and large, are either sensitivity-driven heuristics or based on rounding continuous optimization solutions. Sensitivity-drive heuristics are easily trapped in local optimum and the rounding is subject to remarkable errors. In this paper, we propose a systematic combinatorial approach for simultaneous gate sizing and Vt assignment. The core ideas of this approach include consistency relaxation and coupled bi-directional search. Our algorithm is compared with a state-of-the-art previous work on benchmark circuits. The results from our algorithm can lead to about 24% less power dissipation subject to the same timing constraints.
Coding of watershed and river hierarchy to support GIS-based hydrological analyses at different scales
Authors: Josef Fürst, Thomas Hörhan
Venue: Computers Geosciences (2009)

A procedure is presented to automatically assign a modified Pfafstetter code to a stream network and its associated watersheds. The first step is to build a topological network according to the object-oriented Arc Hydro framework definition in ArcGIS. These network relations are then mapped into a code that fully represents the stream hierarchy of a basin in a single attribute. Its use does not depend on ArcGIS object orientation and facilitates simple hierarchical aggregation and querying using only the attribute tables of shapefile versions of the stream network and watershed datasets. The code was implemented for the whole of Austria to support the flexible presentation and user-defined aggregation of water balance results in the digital version of the Hydrological Atlas of Austria.
Applied Statistics with SPSS
Authors: Eelko K R E Huizingh
Venue:  (2007)

Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. What is unique about Eelko Huizinghs approach is that this book is based around the needs of undergraduate students embarking on their own research project, and its self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms, and worked examples. Divided into three parts, Applied Statistics Using SPSS covers: A self-study guide for learning how to use SPSS A reference guide for selecting the appropriate statistical technique A stepwise do-it-your-self guide for analyzing data and interpreting the results Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Search and Destroy
Authors: Sarah Dolby, Mark McQuillan, Ken Gorrie, Damon Smith, Nathan Martin, Kylie Robinson
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

Dive into an immersive underwater odyssey and experience a sperm whale's world. Track and capture prey, encounter denizens of the deep, and hunt for the elusive giant squid. Animation based on real scientific data taken from digital tags placed on sperm whales. Created by Animation Research Ltd for the Museum of New Zealand The Papa Tongarewa.
Education: curricula---training
Authors: Gopal K. Kapur
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

During the past year interest and controversy in computer science and information science education and training has increased notably. The keynote addresses given by George Glaser at the 1974 National Computer Conference and the 1974 EDUCOM in Canada have served to heighten this interest and controversy. Mr. Glaser's views stimulated an immediate controversy that has not yet subsided, as was demonstrated during the education seminars at the 1974 ACM conference in San Diego. The courses presently being offered in colleges and universities have been both attacked and defended vigorously. 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
Thermal sprayed coatings adherence: influencing parameters
Authors: Mihaiela Iliescu, Emil Turdeanu
Venue: WSEAS Transactions on Systems and Control (2008)

Thermal spraying represents the process of obtaining new special multilayer structure materials, with good mechanical and chemical characteristics. These materials are often used in solving real important problems, like repairing worn parts working under severe wearing conditions or, ensuring efficient corrosion protection of parts used in sea, as platform, bridges, or obtaining high refractory surfaces. Most of the times, once obtained, these coatings need additional machining and, it is of interest to study how, and, if, any of the machining parameters do influence one of their very important characteristic, meaning, adherence to the basic substrate. The paper presents a study on the adherence of thermal sprayed coatings, obtained from some Romanian thermal sprayed materials and submitted to exterior cylindrical turning.
Efficient algorithms for two generalized 2-median problems and the group median problem on trees
Authors: Chi-Yuan Chan, Shan-Chyun Ku, Chi-Jen Lu, Biing-Feng Wang
Venue: Theoretical Computer Science (2009)

The p-median problem on a tree T is to find a set S of p vertices on that minimizes the sum of distances from T's vertices to S. In this paper, we study two generalizations of the 2-median problem, which are obtained by imposing constraints on the two vertices selected as a 2-median: one is to limit their distance while the other is to limit their eccentricity. Previously, both the best upper bounds of these two generalizations were O(n2) [A. Tamir, D. Perez-Brito, J.A. Moreno-Perez, A polynomial algorithm for the p-centdian problem on a tree, Networks 32 (1998) 255-262; B.-F. Wang, S.-C. Ku, K.-H. Shi, Cost-optimal parallel algorithms for the tree bisector problem and applications, IEEE Transactions on Parallel and Distributed Systems 12 (9) (2001) 888-898]. In this paper, we solve both in O(nlogn) time. We also study cases when linear time algorithms exist for the two generalizations. For example, we solve both in linear time when edge lengths and vertex weights are all polynomially bounded integers. Furthermore, we consider the relaxation of the two generalized problems by allowing 2-medians on any position of edges, instead of just on vertices, and we give O(nlogn)-time algorithms for them. A problem, named the tree marker problem, arises several times in our approaches to the two generalized 2-median problems, and we give an O(nlogn)-time algorithm for this problem. We also use this algorithm to speedup an algorithm of Gupta and Punnen [S.K. Gupta, A.P. Punnen, Group center and group median of a tree, European Journal of Operational Research 65 (1993) 400-406] for the group median problem, improving the running time from O(kn) to O(n+klogn), where k is the number of groups in the input.
Classification by Linearity Assumption
Authors: A. Majumdar, A. Bhattacharya
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

Recently a classifier was proposed that was based on the assumption: the training samples for a particular class form a linear basis for any new test sample. This assumption is a generalization of the Nearest Neighbour classifier. In the previous work, the classifier was built upon this assumption required solving a complex optimisation problem. The optimisation method was time consuming and restrictive in application. In this work our proposed algorithm takes care of the previous problems keeping the basic assumption intact. We also offer generalisations of the basic assumption. Comparative experimental results on some UCI machine learning databases show that our proposed generalised classifier is performs as good as other well known techniques like Nearest Neighbour and Support Vector Machine.
QoS-Sensitive Transport of Real-Time MPEG Video using Adaptive Forward Error Correction
Authors: Kihong Park, Wei Wang
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

This paper presents an adaptive end-to-end protocol for quality of service (QoS)-sensitive transport of real-time MPEG video using packet-level forward error correction in dynamic networks. The objective is to facilitate a user-specified QoS end-to-end---i.e., without special network support---for real-time MPEG video traffic whose timing constraints rule out the use of retransmission-based congestion control and QoS provisioning schemes.In previous work, we proposed an adaptive packet-level FEC protocol called AFEC and analyzed its properties with respect to optimality and stability. The control problem is nontrivial due to the fact that increased redundancy, beyond a certain point, can ``backfire'' resulting in self-induced congestion which impedes the timely recovery of information (e.g., MPEG video frames) at the receiver.In this paper, we extend the previous work by implementing and customizing AFEC to the transport of real-time MPEG video, realizing the system as a transport and application layer protocol called MAFEC running end-to-end on UNIX workstations, and measuring its performance over controlled network environments. We show that MAFEC is able to effectively hide potentially adverse network effects such as packet drops and delays stemming from traffic burstiness and nonstationary structural changes using adaptive redundancy control, exporting a constant-QoS service commensurate with user-specified, desired QoS.
Multiple Domain Watermarking for Print-Scan and JPEG Resilient Data Hiding
Authors: Anu Pramila, Anja Keskinarkaus, Tapio Seppänen
Venue: Proceedings of the 6th International Workshop on Digital Watermarking (2008)

In this paper, we propose a print-scan resilient watermarking method which takes advantage of multiple watermarking. The method presented here consists of three separate watermarks out of which two are used for inverting the geometrical transformations and the third is the multibit message watermark. A circular template watermark is embedded in magnitudes of the Fourier transform to invert rotation and scale after print-scan process and another template watermark is embedded in spatial domain to invert translations. The message watermark is embedded in wavelet domain and watermark robustness in both approximation coefficient and detail coefficients is tested. Blind, cross-correlation based methods are utilized to extract the watermarks. The obtained success ratios were at least 91% with JPEG and JPEG200 quality factors of 80-100 and scanner resolution of 300dpi. The BER obtained with the previous settings was less than 1.5%.
Cross-Correlation by Single-bit Signal Processing for Ultrasonic Distance Measurement
Authors: Shinnosuke Hirata, Minoru Kuribayashi Kurosawa, Takashi Katagiri
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

Ultrasonic distance measurement using the pulse-echo method is based on the determination of the time of flight of ultrasonic waves. The pulse-compression technique, in which the cross-correlation function of a detected ultrasonic wave and a transmitted ultrasonic wave is obtained, is the conventional method used for improving the resolution of distance measurement. However, the calculation of a cross-correlation operation requires high-cost digital signal processing. This paper presents a new method of sensor signal processing within the pulse-compression technique using a delta-sigma modulated single-bit digital signal. The proposed sensor signal processing method consists of a cross-correlation operation employing single-bit signal processing and a smoothing operation involving a moving average filter. The proposed method reduces the calculation cost of the digital signal processing of the pulse-compression technique.
Individualizing learning using fuzzy expert system and variable learning route model
Authors: Che-Chern Lin, Chin-Chih Lin, Shen-Chien Chen
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

Recently with the rapid development in information technologies, artificial intelligence techniques have been widely applied in many fields. In this paper, we discuss how a fuzzy expert system, an artificial intelligence technique, is utilized in education. We present a conceptual framework for designing individualizing learning materials using a fuzzy expert system and a variable learning route model. The framework can help teachers to design their customized teaching materials for individual students based on the academic achievements of the students. In the framework, we first use pre-assessment to evaluate the students' academic achievements. The fuzzy expert system is then used to select suitable learning material for the students according to their academic achievements. Variable learning route model serves to determine the adaptive learning paths for the students based on the results of the fuzzy expert system. We introduce the concepts of learning model. We also explain how a fuzzy system is used to solve uncertainty problems. Finally, we present a simulation and draw the concluding remarks at the end of the paper.
Lateral-Direction Control via Reaction Control System
Authors: Liaoni Wu, Yimin Huang, ChengLong He
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

This paper presents the design of lateral/directional control with RCS on reentry of Reusable Launch Vehicle. Thecontrol law are designed, with great computational advantage,for a linear system and then applied in a nonlinear way with on-off type RCS. The lateral/directional control concept essentially reverses the traditional role of the lateral force effectors. The feedback of roll rate to aileron is used to damping the Dutch roll while the yaw jets is used to damping roll mode and maintaining the roll attitude. And a revised PWM is developed based on principle of equivalent accumulated impulse. The final simulation result shows the validity of this method.
Settling on the Group's Goals: An n-Person Argumentation Game Approach
Authors: Duy Hoang Pham, Subhasis Thakur, Guido Governatori
Venue: Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems (2008)

Argumentation games have been proved to be a robust and flexible tool to resolve conflicts among agents. An agent can propose its explanation and its goal known as a claim, which can be refuted by other agents. The situation is more complicated when there are more than two agents playing the game.We propose a weighting mechanism for competing premises to tackle with conflicts from multiple agents in an n-person game. An agent can defend its proposal by giving a counter-argument to change the "opinion" of the majority of opposing agents. During the game, an agent can exploit the knowledge that other agents expose in order to promote and defend its main claim.
Sea Clutter Modeling Improvement and Target Detection by Tsallis Distribution
Authors: Vahid Tabataba Vakily, Mohammad Vahedi
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

Sea clutter is the backscattered returns from a patch of sea surface illuminated by a radar pulse and it's one of difficult domains in radar clutter modeling. A lot of efforts have been made to fit various distributions to the observed amplitude data of sea clutter. However, the fitting of those distributions to real sea clutter data is not good, and using parameters estimated from those distributions is not very effective for detecting targets within sea clutter. This may be due to the fact that sea clutter is highly non-stationary. Tsallis distribution is one of distributions that recommend in recent year for sea clutter modeling. This distribution is obtained by maximizing the Tsallis entropy. The Tsallis entropy is a generalization of the Shanon entropy. In this paper was found two weak points, by accomplished simulation analyses: a) By reason of using small step in parameters estimation, the time of modeling is long. b) By reason of using short segment of clutter data, decrease the target detection accuracy. By using the bigger step in this paper, increase the parameter estimation quickness and by using all sea clutter data and decrease performance, was improving the target detection accuracy.
Silicon feedback to improve frequency of high-performance microprocessors: an overview
Authors: Chandramouli Kashyap, Pouria Bastani, Kip Killpack, Chirayu Amin
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

In modern high-performance microprocessors designed using advanced process technologies, the frequency of the part is often slower than what the static timing analysis tools predict before tape out. We give an overview of techniques used to observe the failing path on the tester, identify the dominant devices impacting the delay of the path, and learn from the failing path to fix other similar paths in the design. In particular, we describe a Support Vector Machine based approach for learning from speedpaths observed in silicon.
Study on Technique of 3D Imaging-Based DEM and Massive Orthograph
Authors: Guo-dong Jin, Liang- xian Gu, Li-bin Lu
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

In the scene simulation system of UAV, 3D imaging was generated by method -based DEM and massive orthograph that displayed real terrain. The imaging was very realistic. The system adopted the method of cutting down scene based on line of sight, image of cache based on frame and texture swapping, to enhance the speed of PC, and improve performance of the system, so real-time creating scene of massive data on PC was realized. The lifelike imaging was displayed with the environment of VC++, and OpenGL. The technique offers a way for developing UAV scene simulation system, thus of great value in both theory and practice.
Electroglottogram Analysis of Emotionally Styled Phonation
Authors: Peter J. Murphy, Anne-Maria Laukkanen
Venue: Multimodal Signals: Cognitive and Algorithmic Issues: COST Action 2102 and euCognition International School Vietri sul Mare, Italy, April 21-26, 2008 Revised Selected and Invited Papers (2009)

Acoustic descriptors of emotional voice quality have traditionally been provided in terms of fundamental frequency (f0), amplitude and duration. These cues have formed the basis for numerous studies of the emotional content of voice signals. The present work examines additional factors that arise as a result of the underlying production mechanism. Specifically glottal characteristics of different emotionally styled voice types are examined using the electroglottogram signal. This preliminary study, using a single speaker, investigates a number of electroglottogram measures relating to closed quotient (closed time of the glottis/cycle length) and rate of contact at closure and opening for the sustained vowel /a/, produced when simulating the emotional states sad, tender, neutral, joy and anger. The results suggest that differences exist in terms of glottal attributes for a particular emotion.
Human-in-the-loop control of an assistive robotic arm in unstructured environments for spinal cord injured users
Authors: Dae-Jin Kim, Aman Behal
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

We describe the progress in implementing a vision based robotic assist device to facilitate Activities of Daily Living (ADL) tasks for a class of users with motor disabilities. The goal of the research is to reduce time to task completion and cognitive burden for users interacting with an unstructured environment via a Wheelchair Mounted Robotic Arm (WMRA). A developed robot system is tested with five healthy subjects to assess its usefulness.
Lightweight tagging expands information and activity management practices
Authors: Gerard Oleksik, Max L. Wilson, Craig Tashman, Eduarda Mendes Rodrigues, Gabriella Kazai, Gavin Smyth, Natasa Milic-Frayling, Rachel Jones
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Could people use tagging to manage day-to-day work in their personal computing environment? Could tagging be sufficiently generic and lightweight to support diverse ways of working and, perhaps, support new and efficient practices for managing applications and accessing documents? We investigate these issues by implementing the TAGtivity system that enables users to tag resources in the context of their ongoing work. We deployed TAGtivity and studied users' tagging practices in their actual work places over a three week period. Our analysis of interviews and logs reveals that affordances of the TAGtivity system supported users in a variety of information and activity management tasks. These include new practices for managing emerging activities and ephemeral information and accessing documents across application data silos.