ppxscal/embedding_network huggingface dataset:
A new training algorithm for HHFNN based on Gaussian membership function for approximation
Authors: Shuang Feng, Hongxing Li, Dan Hu
Venue: Neurocomputing (2009)

A new training algorithm for hierarchical hybrid fuzzy-neural networks (HHFNN) based on Gaussian membership function is proposed in this paper. This new algorithm adjusts the widths of Gaussian membership functions of the IF parts of fuzzy rules in the lower fuzzy sub-systems, and updates the weights and bias terms of the upper neural network by gradient-descent method. Two advantages of the proposed algorithm are shown in this paper: firstly, its parameters are usually fewer, compared with the existing training algorithm for HHFNN and standard BP algorithm; secondly, it outperforms the latter two algorithms in accuracy according to simulation results.
Trail-Based Approach for Video Data Indexing and Retrieval
Authors: Serhan Dagtas, Wasfi Al-Khatib, Arif Ghafoor, Ashfaq Khokhar
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

Increasing use of multimedia data makes it crucial to use intelligent search mechanisms for retrieving multimedia data by content. Digital video requires the incorporation of temporal information for any effective content-based retrieval scheme. We present a trail-based model which uses the object motion information in order to characterize the events for subsequent searches for ``similar'' clips. Algorithms for different spatio-temporal search modes using various digital signal processing techniques are also introduced. We implemented the proposed methods and demonstrated that high-level query formulation can be achieved for the aforementioned purpose.
An update to experimental models for validating computer technology
Authors: Marvin V. Zelkowitz
Venue: Journal of Systems and Software (2009)

In 1998 a survey was published on the extent to which software engineering papers validate the claims made in those papers. The survey looked at publications in 1985, 1990 and 1995. This current paper updates that survey with data from 2000 to 2005. The basic conclusion is that the situation is improving. One earlier complaint that access to data repositories was difficult is becoming less prevalent and the percentage of papers including validation is increasing.
Codex: a dual screen tablet computer
Authors: Ken Hinckley, Morgan Dixon, Raman Sarin, Francois Guimbretiere, Ravin Balakrishnan
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

The Codex is a dual-screen tablet computer, about the size of a 4"x 6 day planner, with a self-supporting binding and embedded sensors. The device can be oriented in a variety of postures to support different nuances of individual work, ambient display, or collaboration with another user. In the context of a pen-operated note taking application, we demonstrate interaction techniques that support a fluid division of labor for tasks and information across the two displays while minimizing disruption to the primary experience of authoring notes.
Flash CS4 For Dummies
Authors: Ellen Finkelstein, Gurdy Leete
Venue: For Dummies (2008)

With Adobe Flash CS4 For Dummies as your guide, you can unleash your creativity and contribute to the Flash-iest showcase of dynamic content: the Web! Youll beecome acquainted with Flash CS4 and learn when to use this popular Web development tool. Plus, youll discover what you can create, from animation to games to presentations.This full color edition gives you the opportunity to get acquainted with Flash CS4, discover all the possibilities, and become familiar with the new tools. Youll be able to create dynamic content, adapt the programs features to suit your development needs, publish your Flash files to the Web, and showcase your creativity and newly acquired skills. Youll discover how to create graphics, text, and layers, make animations, add sound and video, and optimize your files for download. Find out how to:Draw and edit images, create effects, and use layers Building layers, manipulate objects, and add buttons Animate figures and add interactive features Understand the basics of colors, frame rates, and graphics Incorporate video and sound files Publish your files to the Web Complete with lists of ten frequently asked questions about Flash, ten best resources for Flash, and samples of work from ten fabulous Flash designers, Adobe Flash CS4For Dummies is your one-stop guide designing dynamic and interactive content.
DVB-H Performance Simulations in Dense Urban Area
Authors: Jyrki T. J. Penttinen
Venue: Proceedings of the 2009 Third International Conference on Digital Society (2009)

The correct estimation of the DVB-H (Digital Video Broadcasting, Handheld) coverage area is essential part in the pre-planning of the network. In addition to the coverage and respective capacity planning, the in-depth work also requires an estimation of the quality of service levels, which depends mainly on the radio related parameters. This paper presents a simulation method in order to predict the interference caused by the Single Frequency Network (SFN) mode of DVB-H in dense urban area type. Mexico City was used as a basis for the investigations and case results.
Mining Mutually Dependent Ordered Subtrees in Tree Databases
Authors: Tomonobu Ozaki, Takenao Ohkawa
Venue: New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers (2009)

In this paper, in order to discover significant patterns, we focus on the problem of mining frequent mutually dependent ordered subtrees, i.e. frequent ordered subtrees in which all building blocks are mutually dependent, in tree databases. While three kinds of mutually dependent ordered subtrees are considered based on the building blocks used, we propose efficient breadth-first algorithms for each kind of subtrees. The effectiveness of the proposed framework is assessed through the experiments with synthetic and real world datasets.
Butler lies: awareness, deception and design
Authors: Jeff Hancock, Jeremy Birnholtz, Natalya Bazarova, Jamie Guillory, Josh Perlin, Barrett Amos
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Instant messaging (IM) is a common and popular way for co-workers, friends, and family to stay in touch, but its"always-on properties can sometimes lead people to feel overexposed or too readily available to others for conversation. This, in turn, may lead people to deceive others about their actual status or availability. In this paper, we introduce the notion of the "butler lie to describe lies that allow for polite initiation and termination of conversations. We present results from a field study of 50 IM users, in which participants rated each of their messages at the time of sending to indicate whether or not it was deceptive. About one tenth of all IM messages were rated as lies and, of these, about one fifth were butler lies. These results suggest that butler lies are an important social practice in IM, and that existing approaches to interpersonal awareness, which focus on accurate assessment of availability, may need to take deception and other social practices into account.
Kernel based nonlinear dimensionality reduction for microarray gene expression data analysis
Authors: Xuehua Li, Lan Shu
Venue: Expert Systems with Applications: An International Journal (2009)

Accurate recognition of cancers based on microarray gene expressions is very important for doctors to choose a proper treatment. Genomic microarrays are powerful research tools in bioinformatics and modern medicinal research. However, a simple microarray experiment often leads to very high-dimensional data and a huge amount of information, the vast amount of data challenges researchers into extracting the important features and reducing the high dimensionality. This paper proposed the kernel method based locally linear embedding to selecting the optimal number of nearest neighbors, constructing uniform distribution manifold. In this paper, a nonlinear dimensionality reduction kernel method based locally linear embedding is proposed to select the optimal number of nearest neighbors, constructing uniform distribution manifold. In addition, support vector machine which has given rise to the development of a new class of theoretically elegant learning machines will be used to classify and recognise genomic microarray. We demonstrate the application of the techniques to two published DNA microarray data sets. The experimental results and comparisons demonstrate that the proposed method is effective approach.
Implied volatility in oil markets
Authors: Svetlana Borovkova, Ferry J. Permana
Venue: Computational Statistics Data Analysis (2009)

Modelling the implied volatility surface as a function of an option's strike price and maturity is a subject of extensive research in financial markets. The implied volatility in commodity markets is much less studied, due to a limited liquidity and the complicated structure of commodity options. A new semi-parametric method is introduced for modelling the implied volatility surface and is applied to the option price data from oil markets. This approach combines the simplicity of a parametric method with the flexibility of a non-parametric approach. The method can successfully deal with a limited amount of option price data. Performance of the method is investigated by applying it to prices of exchange-traded crude oil and gasoline options, and the results are compared with those obtained by a purely parametric approach. Furthermore, the investigation of the relationship between volatilities implied from European and Asian options shows that Asian options in oil markets are significantly more expensive than theoretical arguments imply.
A fuzzy-driven genetic algorithm for sequence segmentation applied to genomic sequences
Authors: Elizabeth Jacob, K.N. Ramachandran Nair, Roschen Sasikumar
Venue: Applied Soft Computing (2009)

The fuzzy-driven genetic algorithm for sequence segmentation consists of a genetic algorithm whose objective function is driven by a fuzzy fitness finder. The genetic algorithm starts with an initial population of alternate solutions where each solution is a different partitioning of the sequence into segments. The algorithm uses adaptations of the standard genetic operators to reallocate the partitions so as to achieve optimal segmentations. A fuzzy fitness finding mechanism evaluates the fitness values of the evolving segmentations, taking into consideration the combined effect of multiple heterogeneous features that have been identified as governing factors for the formation of the segments. The relationships between segment elements can also be modeled by this novel approach of applying soft computing paradigms to the segmentation of multi-dimensional sequences. The algorithm developed in this work has been successfully implemented for gene sequence segmentation to predict groups of functionally related genes that lie adjacent on the genome sequences of bacterial genomes.
Enhancing undergraduate education: a REU model for interdisciplinary research
Authors: Daniela Stan Raicu, Jacob David Furst
Venue: ACM SIGCSE Bulletin (2009)

This paper presents a successful model for undergraduate research where student participants work on interdisciplinary research projects; in our case, at the frontier between computer science and medicine. Students are part of research teams comprised of other undergraduates, graduate students, faculty and medical experts, participate in professional development and training activities within the larger group, and disseminate their results at the host institutions or conferences specific to the interdisciplinary focus. The model outcomes at the end of the first three years (2005-2007) indicate that the interdisciplinary model successfully 1) expanded the student participation in research by recruiting students who might not otherwise have research opportunities, 2) attracted a diversified pool of talented students into science, 3) promoted interdisciplinary undergraduate studies in computer science and medical informatics as well as in future graduate studies; and 4) trained students in all phases of research, including writing and presenting research papers at conferences.
The use of Speech and Lip Modalities for Robust Speaker Verification under Adverse Conditions
Authors: T. Wark, S. Sridharan, V. Chandran
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

This paper investigates the use of lip information, in conjunction with speech information, for robust speaker verification in the presence of background noise. It has been previously shown in our own work, and in the work of others, that features extracted from a speaker's moving lips hold speaker dependencies which are complementary with speech features. We demonstrate that the fusion of lip and speech information allows for a highly robust speaker verification system which outperforms the performance of either sub-system. We present a new technique for determining the weighting to be applied to each modality so as to optimize the performance of the fused system. Given a correct weighting, lip information is shown to be highly effective for reducing the false acceptance and false rejection error rates in the presence of background noise.
Architales: physical/digital co-design of an interactive story table
Authors: Ali Mazalek, Claudia Winegarden, Tristan Al-Haddad, Susan J. Robinson, Chih-Sung Wu
Venue: Proceedings of the 3rd International Conference on Tangible and Embedded Interaction (2009)

Many research efforts today explore how digitally augmented tables enable face-to-face interaction with digital content and applications. Yet the design of digital tables is still largely driven by the constraints and requirements of the underlying sensing technologies. In order to move digital tables into our real-world physical spaces, researchers need to work closely with architects and industrial designers in order to engage the knowledge and skills from a long history of physical design and fabrication in the creation of tabletop systems. This paper presents Architales, an interactive story table for gallery exhibition, developed as an experiment in physical/digital co-design. We describe the creation of the interactive table, tangible storytelling system, and story content, which evolved together in a closely unified design process, drawing on the skills from computing, media, design and architecture. We also describe lessons learned about the interdisciplinary design process and the creation of physical/digital artworks.
Wavelet Analysis on Crack Image of Coal Mining Roof
Authors: Tie-ju Zhang, Jie Sun
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Appling an image edge detection algorithm based on the wavelet transform to crack image of roof in coal in the paper. Digital image processing technology was introduced to the research on crack image of roof rock in this paper, which is independent from lithology and mechanical characteristics of certain rocks. Firstly, the crack image would be divided into different frequency band by wavelet transform, and would be filtered by frequency characteristic. At last, the edge extraction of the image completed.
Dynamic Optimization of Readsize in Hypermedia Servers
Authors: Tsun-Ping J. To, Babak Hamidzadeh
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

While disk scheduling techniques for Continuous Media (CM) servers are mostly designed to maximize the number of concurrent CM data streams, considerably less attention has been paid to Discrete Media (DM) data throughput. DM data throughput is vital to systems that need to support the heterogeneity and variety of data found in interactive hypermedia and digital library applications. Therefore, a server?s ability in delivering a high DM data throughput without degrading its CM data throughput deserves more attention. In this paper, a new technique is introduced to optimize the use of disk bandwidth at run-time and redirect the saved bandwidth to service DM requests. Based on a new cost model of disk access incurred in CM service, we formulate strategies to moderate the size of disk reads at run-time. Through experimental evaluations, these strategies are found to improve the efficiency of disk accesses and the DM data throughput of a hypermedia server without jeopardizing the throughput and quality of CM service.
3D modeling of the growth and division of shoot apex meristem
Authors: Robert Koprowski, Zygmunt Wrobel, Krzysztof Kucypera
Venue: Machine Graphics Vision International Journal (2008)

The paper presents an approach to three-dimensional visualization of idealized growth and division of the shoot apex meristem of a plant root based on simplification of cells to the form of noncomplex polyhedrons rendered by a graphic library. The vertices of polyhedrons are processed by a growth algorithm, which determines their position in space and successively increases their size until the division criterion is fulfilled and division is triggered. The proposed method allows simulation of the aforementioned processes and observation of their characteristics through animation of a single cell or large sets of cells.
Output Prediction Model in Fully Mechanized Mining Face Based on Support Vector Machine
Authors: Wanqing Li, Yong Zhao, Wenqing Meng, Shipeng Xu
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Support Vector Machine is a new machine learning technique developed on the basis of Statistical Learning Theory, which has become the hotspot of machine learning because of its excellent learning performance. Based on analyzing the theory of support vector machine for regression (SVR), a SVR model is established for predicting the output in fully mechanized mining face, and then realizes the model by programming based on Mat lab, finally, compared with genetic neural network prediction model. It shows that SVM has a higher accuracy of prediction than GNN, which proved the validity and practicality of the model.
Libraries as local database producers
Authors: Robin Crickman
Venue: Proceedings of the May 4-7, 1981, national computer conference (1981)

Sale of citations retrieved from bibliographic database services began more than a decade ago. Data as well as literature citations were later made available from the same companies. Recently, other information vendors have entered the market and offered databases on such things as automobiles for sale or barter exchange of skills. 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
Human-robot physical interaction with dynamically stable mobile robots
Authors: Umashankar Nagarajan, George Kantor, Ralph L. Hollis
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

Human-Robot Physical Interaction is an important attribute for robots operating in human environments. The authors illustrate some basic physically interactive behaviors with dynamically stable mobile robots using the ballbot as an example. The ballbot is a dynamically stable mobile robot moving on a single spherical wheel. The dynamic stability and robust controllers enable the ballbot to be physically moved with ease. The authors also demonstrate other behaviors like human intent detection and learn-repeat behavior on the real robot.
Multimedia Evidence Fusion for Video Concept Detection via OWA Operator
Authors: Ming Li, Yan-Tao Zheng, Shou-Xun Lin, Yong-Dong Zhang, Tat-Seng Chua
Venue: Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling (2009)

We present a novel multi-modal evidence fusion method for highlevel feature (HLF) detection in videos. The uni-modal features, such as color histogram, transcript texts, etc, tend to capture different aspects of HLFs and hence share complementariness and redundancy in modeling the contents of such HLFs. We argue that such inter-relation are key to effective multi-modal fusion. Here, we formulate the fusion as a multi-criteria group decision making task, in which the uni-modal detectors are coordinated for a consensus final detection decision, based on their inter-relations. Specifically, we mine the complementariness and redundancy inter-relation of uni-modal detectors using the Ordered Weighted Average (OWA) operator. The `or-ness' measure in OWA models the inter-relation of uni-modal detectors as combination of pure complementariness and pure redundancy. The resulting weights of OWA can then yield a consensus fusion, by optimally leveraging the decisions of uni-modal detectors. The experiments on TRECVID 07 dataset show that the proposed OWA aggregation operator can significantly outperform other fusion methods, by achieving a state-of-art MAP of 0.132.
Reliability analysis of tree networks applied to balanced content replication
Authors: Mugurel Ionut Andreica, Nicolae Tapus
Venue: Proceedings of the 2008 IEEE International Conference on Automation, Quality and Testing, Robotics - Volume 01 (2008)

The fault tolerance of the communication topology of a distributed system is a very important feature which needs to be analyzed carefully. In this paper we propose a new reliability metric for tree topologies, based on the unrestricted vertex multicut problem on trees, for which we present the first optimal linear time algorithm. We present evaluation results of the reliability metric on tree networks used for balanced content replication. For this problem, we also developed a new O(n·k) algorithm solving the k-equitable coloring problem on trees, based on a hierarchy of color relabeling permutations.
Reversible Fragile Watermarking for E-Learning Media
Authors: Yu-Chiang Li, Cheng-Jung Tsai, Wei-Cheng Wu
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

Fragile watermarking techniques are widely applied to protect the ownership of digital media. For learning materials, high-quality images can enhance learning efficiency. This study presents a reversible fragile watermarking scheme with two-level blocks for e-Learning media based on histogram shifting techniques. The method can validate the integrity of the protected image while maintaining the high quality of the protected image. Experimental results reveal that each test-marked image maintained its high image quality. Furthermore, the proposed method can detect and locate the blocks that have been tampered with.
Nonparabolicity effects and the spin-split electron dwell time in symmetric III-V double-barrier structures
Authors: G. Isić, V. Milanović, J. Radovanović, D. Indjin, Z. Ikonić, P. Harrison
Venue: Microelectronics Journal (2009)

We start from the fourth-order nonparabolic and anisotropic conduction band bulk dispersion relation to obtain a one-band effective Hamiltonian, which we apply to an AlGaSb symmetric double-barrier structure with resonant energies significantly (more than 200meV) above the well bottom. The spin-splitting is described by the k3 Dresselhaus spin-orbit coupling term modifying only the effective mass of the spin eigenstates in the investigated structure. Apart from the bulk-like resonant energy shift due to the band nonparabolicity, we obtain a substantial shift depending on the choice of boundary conditions for the envelope functions at interfaces between different materials. The shift of resonant energy levels leads to the change of spin-splitting and the magnitude of the dwell times. We attempt to explain the influence of both the nonparabolicity and boundary conditions choice by introducing various effective masses.