ppxscal/embedding_network huggingface dataset:
Learning and identification using intelligent shoes
Authors: Yangsheng Xu
Venue:  (2007)

In this thesis, we will build intelligent shoes under the framework for capturing and analyzing dynamic human gait. Existing MEMS technology makes it possible to integrate all the sensors and circuits inside a small module. In designing our intelligent shoe system, we require the following key characteristics in our system: (1) It should be convenient to wear and socially acceptable. Thus, the sensors and electronic hardware installed should not substantially change the weight and weight balance of a typical shoe, lest it alters how an individual normally walks. (2) We want to analyze a user's motion in real-time through a wireless interface to a remote laptop or other computer; we will also incorporate on-shoe data logging hardware for off-line analysis. (3) Sensors that monitor gait motion conditions may need to be attached to the insoles, in closer proximity to the foot of users. In order to investigate the problem of capturing power parasitically from normal human-body-motion for use in personal electronics applications, we also plan to develop an electromechanical generator embedded within the shoe for parasitic power collection from heel strike. Next, we can encode specific motions to control external devices through a wireless interface. This same system architecture that allows us to classify broad categories of motion also allows the intelligent shoe to act as a programmable, low-data rate control interface. We apply the system to several successful tasks based on this platform, especially the Shoe-Mouse. By using this interface, we can operate a device with our feet. Then, we present potential use of machine learning techniques, in particular support vector machine (SVM), and the intelligent shoe platform to detect discrete stages in the cyclic motion of dynamic human gait, and construct an identifier of five discrete events that occur in a cyclic process for precise control of functional electrical stimulation (FES). With the information of when the legs are in each phase of a gait, the timing of specific gait phase can be assessed. Finally, the research of classifying and identifying individuals through their walking patterns is introduced. Alive biometrical features in dynamic human gait are adopted in the intelligent shoe system. Since gait data are dynamic, non-linear, stochastic, time-varying, noisy and multi-channel, we must select a modeling framework capable of dealing with these expected complexities in the data. Using the proposed machine learning methods, support vector machine (SVM) and hidden Markov models (HMMs), we build up probabilistic models that take the information of human walking patterns into account, and compare the overall similarity among human walking patterns of several wearers.
Collaborative agent-based learning with limited data exchange
Authors: Xavier Rafael Palou, Michael Rovatsos
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

We describe a collaborative agent-based learning model suitable for environments with limited data exchange and provide an overview of its empirical evaluation.
Huggy pajama: a parent and child hugging communication system
Authors: James Keng Soon Teh, Adrian David Cheok, Yongsoon Choi, Charith Lasantha Fernando, Roshan Lalintha Peiris, Owen Noel Newton Fernando
Venue: Proceedings of the 8th International Conference on Interaction Design and Children (2009)

Huggy Pajama is a novel wearable system aimed at promoting physical interaction in remote communication between parent and child. This system enables parents and children to hug one another through a novel hugging interface device and a wearable, hug reproducing pajama connected through the Internet. The hugging device is a small, mobile doll with an embedded pressure sensing circuit that is able to accurately sense varying levels of the range of human force produced from natural touch. This device sends hug signals to a haptic jacket that simulates the feeling of being hugged to the wearer. It features air pressure actuation to reproduce hug.
PSP Visualization Studies on a Convergent Nozzle with an Ejector System
Authors: H. Zare-Behtash, N. Gongora-Orozco, K. Kontis
Venue: Journal of Visualization (2009)

An in-house Pressure Sensitive Paint (PSP) formulation has been developed at the Aero-Physics Laboratory at the University of Manchester. The PSP uses Bathophenanthroline Ruthenium as the luminophore molecule and is incorporated in a sol-gel matrix. Excitation occurs at 400-500 nm and emission at 550-650 nm. The Stern-Volmer plot of the PSP reveals small temperature dependence, which has always been an intrinsic drawback of PSPs. As a baseline experiment the PSP has been applied to examine the side-wall pressure field of the flow through a convergent nozzle with an ejector, at fully expanded Mach numbers in the range M$_{j}$ = 0.52-1.36. Simultaneous static pressure measurements were also conducted to ascertain the accuracy of the PSP results. The paint has demonstrated satisfactory capabilities in not only measuring static pressures but also in visualizing key physical elements of the flow, such as the location of the expansion and oblique shock waves present in such flows.
Matrix updates for perceptron training of continuous density hidden Markov models
Authors: Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

In this paper, we investigate a simple, mistake-driven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automatic speech recognition use multivariate Gaussian emission densities (or mixtures thereof) parameterized in terms of their means and covariance matrices. For discriminative training of CD-HMMs, we reparameterize these Gaussian distributions in terms of positive semidefinite matrices that jointly encode their mean and covariance statistics. We show how to explore the resulting parameter space in CDHMMs with perceptron-style updates that minimize the distance between Viterbi decodings and target transcriptions. We experiment with several forms of updates, systematically comparing the effects of different matrix factorizations, initializations, and averaging schemes on phone accuracies and convergence rates. We present experimental results for context-independent CD-HMMs trained in this way on the TIMIT speech corpus. Our results show that certain types of perceptron training yield consistently significant and rapid reductions in phone error rates.
Trajectory representation using Gabor features for motion-based video retrieval
Authors: A. Dyana, Sukhendu Das
Venue: Pattern Recognition Letters (2009)

This paper proposes a Gabor filter based representation of motion trajectory, for the purpose of motion-based video retrieval. We propose a spectro-temporal representation of the trajectory, which involves the process of detecting a set of salient points from the peaks (locally) of the Gabor filter responses. The change in trajectory direction is also represented by observing the clockwise or anti-clockwise change in direction at the salient points. The feature set (formed by the frequency, temporal location and turning direction at each salient point) provides a semantic representation of the trajectory. Our approach is a global trajectory representation where matching is performed based on edit distance and is shown to perform well even for partial trajectory matching. The system is tested using two benchmark databases of trajectories, as well as various hand-drawn and partial trajectories. We have also experimented on real world videos. Experimental results have shown better performance than existing systems based on Fourier descriptors, polynomial representation and two state-of-the-art methods of symbolic representations based on PCA and characteristics of movement.
Power Distribution Networks with On-Chip Decoupling Capacitors, 1st edition
Authors: Mikhail Popovich, Andrey V. Mezhiba, Eby G. Friedman
Venue:  (2007)

Power Distribution Networks with On-Chip Decoupling Capacitors is dedicated to distributing power in high speed, high complexity integrated circuits with power levels exceeding tens of watts and the power supply below a volt. The book provides insight and intuition into the behavior and design of integrated circuit-based power distribution systems. The book has three primary objectives. The first is to describe the impedance characteristics of the overall power distribution system, from the voltage regulator through the printed circuit board and package onto the integrated circuit to the power terminals of the on-chip circuitry. The second is to discuss the inductive characteristics of on-chip power distribution grids and the related circuit behavior of these structures. The third objective is to present design methodologies for effciently placing on-chip decoupling capacitors in nanoscale integrated circuits. Power Distribution Networks with On-Chip Decoupling Capacitors is a reference for professional engineers in the fields of circuits and systems and computer-aided design.
Integrated circuit security: new threats and solutions
Authors: Miron Abramovici, Paul Bradley
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

In this paper, we present new threats to the security of integrated circuits (ICs) and outline a new solution.
High Performance Fortran - History, Status and Future
Authors: Hans P. Zima
Venue: Proceedings of the 4th International Symposium on High Performance Computing (2009)

High Performance Fortran (HPF) is a data-parallel language that was designed to provide users with a high-level interface for programming scientific applications, while delegating to the compiler the task of generating an explicitly parallel message-passing program. This lecture will outline the original motivation for the development of HPF and provide an overview of various versions of the language. The focus will be on a study of the expressivity of the HPF approach in the context of the requirements posed by "real" applications, and the need to achieve target code performance close to that of hand-written MPI programs. We will identify a set of important language elements for the efficient solution of a range of advanced applications in science and engineering. Dealing with such problems does not only need the flexible data and work distribution features included in the HPF-2 Standard, but also requires additional capabilities such as the explicit control of some aspects of communication. The lecture concludes with an outlook to future research and development in HPF-related languages and compilers.
Explaining Altruism: A Simulation-Based Approach and its Limits
Authors: Eckhart Arnold
Venue:  (2009)

Employing computer simulations to study the evolution of altruism has been popular since Axelrods The Evolution of Cooperation. But have the myriads of simulation studies that followed in Axelrods footsteps really increased our knowledge about the evolution of altruism or cooperation? This book examines in detail the working mechanisms of simulation-based evolutionary explanations of altruism. It shows that the theoretical insights derived from simulation studies are often quite arbitrary and of little use for empirical research. In the final chapter, a set of epistemological requirements for computer simulations is proposed with recommendations for the proper research design of simulation studies.
Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica
Authors: D. Lutter, Th. Langmann, P. Ugocsai, C. Moehle, E. Seibold, W. D. Splettstoesser, P. Gruber, E. W. Lang, G. Schmitz
Venue: Journal of Biomedical Informatics (2009)

The analysis of large-scale gene expression profiles is still a demanding and extensive task. Modern machine learning and data mining techniques developed in linear algebra, like Independent Component Analysis (ICA), become increasingly popular as appropriate tools for analyzing microarray data. We applied ICA to analyze kinetic gene expression profiles of human monocyte derived macrophages (MDM) from three different donors infected with Francisella tularensis holartica and compared them to more classical methods like hierarchical clustering. Results were compared using a pathway analysis tool, based on the Gene Ontology and the MeSH database. We could show that both methods lead to time-dependent gene regulatory patterns which fit well to known TNF@a induced immune responses. In comparison, the nonexclusive attribute of ICA results in a more detailed view and a higher resolution in time dependent behavior of the immune response genes. Additionally, we identified NF@kB as one of the main regulatory genes during response to F. tularensis infection.
Mining biomedical texts for disease-related pathways
Authors: Andrey Rzhetsky
Venue: Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis (2006)

I will describe my collaborators' and my own effort to compile large models of molecular pathways in complex human disorders. The talk will address a number of interrelated questions: How to extract facts from texts at a large scale? How to assess the quality of the extracted facts? How to identify sets of conflicting or unreliable facts and to generate an internally consistent model? How to use the resulting pathway model for automated generation of biological hypotheses?
Supply Chain Management Based on SAP Systems: Architecture and Planning Processes, 1st edition
Authors: Gerhard F. Knolmayer, Peter Mertens, Alexander Zeier, Jrg Thomas Dickersbach
Venue: Sap Excellence (2009)

Supply Chain Management (SCM) is not a buzzword like many others in management and IT - it is here to stay. "Megatrends" such as globalization and increasing specialization result in a complex division of labor at national and international levels. Lean and agile supply chains have become a major management target, and the interorganizational coordination of business processes has become highly relevant. The complexity of today's supply chains cannot be mastered without the support of powerful information systems. SAP has established itself as the market leader in this type of IT systems. The book describes SCM using a pyramidal framework and relates it to the SAP SCM Solution Map. Desired features of IT support for SCM are formulated, and the extent to which SAP systems provide these features is shown. We describe the functionalities of SAP APO in detail, present case studies on implementing and running SAP SCM systems, and discuss SCM aspects of the new SAP Business ByDesign approach.
The impact of dynamic RTS Threshold adjustment for IEEE 802.11 MAC protocol
Authors: Mostafa Mjidi, Debasish Chakraborty, Naoki Nakamura, Norio Shiratori
Venue: Mobile Information Systems (2009)

In recent years, wireless technologies and application received great attention. The Medium Access Control (MAC) protocol is the main element that determines the efficiency in sharing the limited communication bandwidth of the wireless channel in wireless local area networks (WLANs). IEEE 802.11 introduced the optional RTS/CTS handshaking mechanism to address the hidden terminal problem as well as to reduces the chance of collision in case of higher node density and traffic. RTS Threshold (RT) determines when RTS/CTS mechanism should be used and proved to be an important parameter for performance characteristics in data transmission. We first investigate to find a meaningful threshold value according to the network situation and determine the impact of using or disengaging the RTS/CTS optional mechanism and dynamically adjust the RTS Threshold to maximize data transmission. The results show a significant improvement over existing CSMA/CA and RTS/CTS schemes. Our adaptive scheme performed even better when data rate increases. We verify our proposed scheme both analytically and with extensive network simulation using ns-2.
Rotated-Box Trees: A Lightweight c-Oriented Bounding-Volume Hierarchy
Authors: Mark Berg, Peter Hachenberger
Venue: Proceedings of the 8th International Symposium on Experimental Algorithms (2009)

We introduce a new type of bounding-volume hierarchy, the c-oriented rotated-box tree, or c-rb-tree for short. A c-rb-tree uses boxes as bounding volumes, whose orientations come from a fixed set of predefined box orientations. We theoretically and experimentally compare our new c-rb-tree to two existing bounding-volumes hierarchies, namely c-dop-tree and box-trees.
Effects of sounds on tactile roughness depend on the congruency between modalities
Authors: Yuika Suzuki, Jiro Gyoba
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Recent studies have demonstrated that the tactile roughness perception of surface texture was modified when touch-produced sounds or non-touch-produced sounds were presented while exploring a surface. Our previous research demonstrated that white noise modified tactile roughness perception of an abrasive paper with a certain particle size. In the present study, we investigated whether the dependence of the effects of sound on the particle size of surfaces indicates the correspondences of perceived roughness between tactile and auditory information. The results revealed that the congruency of roughness information between the modalities is necessary to modify the effects of sounds on tactile roughness perception with regard to not only the intensity of the crossmodal effects but also whether the direction of the auditory effects on tactile roughness perception is smoother or rougher.
oz-TeacherNet 2.0: Redefining the Education Online Community
Authors: S. Nykvist, M. Lloyd, J. Masters
Venue: Proceeding of the 2007 conference on Supporting Learning Flow through Integrative Technologies (2007)

This paper will report on a 12-year project, “oz-TeacherNet” and its role in supporting teachers who are connected. It will describe the issues around supporting and sustaining an online community over this duration. With the adoption of web 2.0, social networking and the ease of use in creating digital content, many online communities are changing and being influenced by youth who lead the way in identifying what tools are a necessity to them. The communities that do not change often disappear very quickly. This paper explores how the oz-Teachernet has responded to the changing technologies that exist and explores the lifecycle involved in sustaining an online community for teachers. Further, the paper will identify what tools are seen as a necessity for this type of community to survive and offer recommendations on how to sustain an online community for educators.
High-voltage equipment condition monitoring and diagnosis system based on information fusion
Authors: Yongwei Li, Zhenyu Wang, Xingde Han, Yalun Li
Venue: Neural Computing and Applications (2009)

As high-voltage electric equipment has complex structure and works in harsh environments, fiber Bragg grating (FBG) sensors are applied to realize the real-time monitoring of some parameters in which temperature is the main parameter. Using FBG sensors to monitor temperature of high-voltage electric equipment can overcome the disadvantages of harsh monitoring environment such as high-voltage, big current, strong electromagnetic interference and so on. The fault of high-voltage electric equipment is difficult to be distinguished as there may be many different reasons. The traditional or simple methods cannot totally meet the demand of fault diagnosis of high-voltage electric equipment. First, taking neural network as a classifier to distinguish different fault types from complex fault information in the feature layer can supply a good foundation to final information fusion diagnosis. Second, Dempster&#x2013;Shafer evidence theory is used to make a comprehensive diagnosis of fault information in the decision layer. All the uses above can increase the speed and accuracy of diagnosis and have practical significance. The fault diagnosis system shows good results and provides an effective way to realize the real-time condition monitoring and more accurate fault diagnosis of high-voltage electric equipment.
A computational approximation to the AIXI model
Authors: Sergey Pankov
Venue: Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference (2008)

Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induction, solves in principle the problem of optimal behavior of an intelligent agent. A practically most important and very challenging problem is to find a computationally efficient (if not optimal) approximation for the optimal but incomputable AIXI theory. We propose such an approximation based on a Monte Carlo algorithm that samples programs according to their algorithmic probability. The approach is specifically designed to deal with real world problems (the agent processes observed data and makes plans over range of divergent time scales) under limited computational resources.
Deriving an ambiguous word's part-of-speech distribution from unannotated text
Authors: Reinhard Rapp
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

A distributional method for part-of-speech induction is presented which, in contrast to most previous work, determines the part-of-speech distribution of syntactically ambiguous words without explicitly tagging the underlying text corpus. This is achieved by assuming that the word pair consisting of the left and right neighbor of a particular token is characteristic of the part of speech at this position, and by clustering the neighbor pairs on the basis of their middle words as observed in a large corpus. The results obtained in this way are evaluated by comparing them to the part-of-speech distributions as found in the manually tagged Brown corpus.
Fault tolerant control: an imprecise computation setting
Authors: Addison Rios-Bolivar, Luis Parraguez, Francisco Hidrobo, Margarita Heraoui, Julima Anato, Francklin Rivas
Venue: Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology (2009)

In this contribution the existing relations between the imprecise computation and the fault tolerant control (FTC) are analyzed. From those relations one settles down like constructing FTC systems according to the model of imprecise computation. The found relations establish that the obligatory tasks in the model of imprecise computation correspond with the mission of maintaining the stability of the systems under FTC according to the redundancy degree that assure the structural properties of the systems. On the other hand, the optional tasks in imprecise computation correspond to as the performance criteria of the systems under FTC are satisfied, which can be degraded under adverse conditions of operation of the system. These correspondences are probed in an example.