ppxscal/embedding_network huggingface dataset:
Integration of environmental contexts and personal factors for coordinating garments: an environmental user interface paradigm to enrich user interactions
Authors: Si-Jung Kim
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

This paper describes the integration of environmental contexts and personal factors for coordinating garments. As a proof of concept, the UFC Mirror (Ubiquitous Fashion Coordination Mirror) has been implemented to coordinate clothing based on garment characteristics such as color and style as well as environmental contexts such as user schedule and weather conditions. The purpose of the UFC Mirror is to find the best clothing selection for each day in terms of time, occasion and place (TOP) and, thus, to reduce mental workload on the user in selecting clothing. An environmentally contextual-focused interface, environmental user interface (EUI), was integrated as a foundation of the UFC mirror to provide appropriate contexts in the selection of clothing. Preliminary results from a user study with 14 participants revealed that the UFC Mirror increased confidence in selecting clothing and reduced mental workload when considering several factors including color, size and style. People have more confidence in choosing clothing when they have integrated information of environmental contexts and personal factors via the UFC Mirror.
Photoshop CS4: Top 100 Simplified Tips & Tricks
Authors: Lynette Kent
Venue:  (2009)

Beyond-the-basic techniques show you how to take your Photoshop CS4 skills to the next level With more than 4 million users worldwide, Photoshop is the world-standard image-editing solution for print and the Web and the CS4 release promises exciting new creative possibilities for adventurous Photoshop users Packed with 100 cool and useful tips and tricks, this visual tutorial investigates the bells and whistles that come with the new CS4 release Features full-color screen shots, step-by-step instructions, and updated photo examples all aimed at elevating your Photoshop skills to new heights
Short communication: Uniqueness of asymptotic solution for general Markov fluid models
Authors: Hédi Nabli, Haikel Ouerghi
Venue: Performance Evaluation (2009)

We investigate the asymptotic workload distribution of fluid models with input and output rates which are modulated by an irreducible Markov process. An analytical solution is proposed in [H. Nabli, Asymptotic solution of stochastic fluid models, Perform. Eval. 57 (2004) 121-140] for general Markov fluid model. This probability distribution is controlled by a linear differential system with specific boundary conditions. The solution uniqueness is proved under a conjecture in the field of linear algebra. This conjecture is valid for all particular fluid models considered in the literature. In this paper, we will prove this conjecture for general fluid models. The numerical computation of the stationary distribution will be also discussed.
The Dedekind--MacNeille completions for fuzzy posets
Authors: Weixian Xie, Qiye Zhang, Lei Fan
Venue: Fuzzy Sets and Systems (2009)

In this paper, the Dedekind-MacNeille completion for an L-fuzzy poset, previously introduced by the authors, is built and characterized, which generalizes the Dedekind-MacNeille completion for an ordinary poset. The relationship between the L-fuzzy complete lattices defined by the authors and Belohlavek's completely lattice L-ordered sets is discussed.
Explorative steady state genetic algorithms and elitist genetic algorithms for optimal reactive power planning
Authors: M. F. Mohd Kamal, I. Musirin, T. K. A. Rahman
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

This paper presents the comparative performances between a computationally enhanced steady state genetic algorithm (CSGA), standard steady state genetic algorithms (SSGA) and elitist genetic algorithms (EGA) in improving the voltage profile and conducting reactive power planning (RPP) in respect to loss minimisation scheme. Although the SSGA is time efficient but tend to be biased towards exploitation whereby more highly fit chromosomes are accumulated to venture into the next generation of genetic algorithms (GA). Consequently, the SSGA is susceptible to converge prematurely onto a local optimum. The selection elitism incorporated with the variant population spin technique and steady state mechanisms are integrated into the development of the SSGA. The EGA with an appropriate population composition may strike a fair balance between exploitation and exploration in achieving an acceptable optimum solution. Thus, the paper adopts the reading produced by the EGA as the benchmark for drawing any judgment. Any inferior result shall be deemed as a premature convergent. However, the EGA has the flaw of a moderate convergent rate despite of a good on line performance. CSGA is a modified technique of applying exploration factors on the SSGA. In each generation, the CSGA randomly resettles the chromosomes in the neighbourhood of the potential optimum solution while employing extra protective measure to inhibit from trapping onto a local minimum. Identical initial population is supplied to the individual mechanism of GAs for obtaining The proposed CSGA technique has been validated on the IEEE Reliability Test System (IEEE-RTS) and demonstrated profound performances over the SSGA and EGA.
Nonlinear Time Series Prediction by Using RBF Network
Authors: Liqiang Zhu
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

This paper describes a numerical algorithm for short-term prediction of nonlinear time series by using time-delay embedding and radial basis function (RBF) neural networks. Unlike the existing RBF algorithms with centers preselected during training process and fixed during prediction process, the proposed method utilizes a simple selection algorithm to dynamically change the center positions, resulting in a local RBF model with time varying parameters. Analysis and methodology are detailed in the context of the Leuven competition. Results show that the proposed local dynamical RBF network performed remarkably well.
Some aspects in the modelling of physics phenomena using computer graphics
Authors: Livia Sangeorzan, Mircea Parpalea, Anisor Nedelcu, Costel Aldea
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

The present paper aims to realize a set of applets embedded in HTML pages, with the purpose of illustrating the main elements connected to interference and diffraction of light phenomena. Using Swing (Java) on developed applets for: Young interference and single-slit diffraction of monochromatic light as well as of natural light. In the end of this work, there were explained in detail the main original methods used in applet codes.
Agent Dialogue as Partial Uncertain Argumentation and its Fixpoint Semantics
Authors: Takayoshi Suzuki, Hajime Sawamura
Venue: Proceeding of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008 (2008)

Argumentation and dialogue provide important foundations for agent-oriented computing since social computing mechanism such as negotiation, cooperation, conflict resolution, etc. are to be built on them. In this paper, we consider relationship between argumentation and dialogue in a formal way. In doing so, we first describe a primitive but natural inter-agent dialogue model in which dialogue can be seen as partial argumentation that allows us to avoid excessive or unnecessary conflicts. Next, we give the semantics for such a type of dialogue, and the soundness and completeness under it.
Demosaicing algorithms for area- and line-scan cameras in print inspection
Authors: Dorothea Heiss-Czedik, Reinhold Huber-Mörk, Daniel Soukup, Harald Penz, Beatriz López García
Venue: Journal of Visual Communication and Image Representation (2009)

Most color image sensors use color filter arrays (CFA). With this sensor design the captured information at each sensor pixel position is restricted to a specific spectral portion (typically red, green and blue bands). To obtain the missing color responses at each pixel position, so-called CFA demosaicing algorithms are commonly used. We propose two new CFA demosaicing algorithms, which are well suited for industrial print inspection with respect to the requirements in accuracy and speed. As a main contribution, we introduce novel demosaicing algorithms for specific high-speed color digital time delay and integration (DTDI) CFA line-scan cameras. We compare the suggested CFA demosaicing algorithms to state-of-the art algorithms for area and line-scan camera operation modes. We show that the two new algorithms perform superior to conventional algorithms as indicated by reconstruction error.
Multimedia blog creation system using dialogue with intelligent robot
Authors: Akitoshi Okumura, Takahiro Ikeda, Toshihiro Nishizawa, Shin-ichi Ando, Fumihiro Adachi
Venue: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions (2007)

A multimedia blog creation system is described that uses Japanese dialogue with an intelligent robot. Although multimedia blogs are increasing in popularity, creating blogs is not easy for users who lack high-level information literacy skills. Even skilled users have to waste time creating and assigning text descriptions to their blogs and searching related multimedia such as images, music, and illustrations. To enable effortless and enjoyable creation of multimedia blogs, we developed the system on a prototype robot called PaPeRo. Video messages are recorded and converted into text descriptions by PaPeRo using continuous speech recognition. PaPeRo then searches for suitable multimedia contents on the internet and databases, and then, based on the search results, chooses appropriate sympathetic comments by using natural language text retrieval. The retrieved contents, PaPeRo's comments, and the video recording on the user's blog is automatically uploaded and edited. The system was evaluated by 10 users for creating travel blogs and proved to be helpful for both inexperienced and experienced users. The system enabled easy multimedia-rich blog creation and even provided users the pleasure of chatting with PaPeRo.
Optimizations for charged service provision in Mobile Ad Hoc Networks
Authors: Christopher N. Ververidis, George C. Polyzos
Venue: Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks (2008)

Optimized service provisioning is a challenging problem in dynamic environments such as Mobile Ad Hoc Networks (MANETs). Most of the existing approaches assume an environment, where service provision is free (and dictated) and servers do not have an incentive to maximize their benefit. In this paper we consider the nodes in MANETs to be independent, rational agents trying to maximize their profits through service provision. We model this problem as a Generalized Assignment Problem (GAP). We adopt a pay-as-you-go model and introduce into the proposed profit maximization algorithm expected payoffs based on estimates of server-to-client connectivity. We define connectivity as the lifetime of the network connection between a client and a server. We experimentally study cases with non-cooperative and cooperative servers and investigate the gain of the estimate based maximization algorithm versus a classic maximization algorithm, which does not take into account the network’s dynamics that affect server-to-client connectivity. The results show that our approach achieves up to three-fold improved server profits compared to the classical one and is especially suited for MANETs with high-mobility.
Quantifying perception of nonlinear elastic tissue models using multidimensional scaling
Authors: Sarthak Misra, Philipp Fuernstahl, K. T. Ramesh, Allison M. Okamura, Matthias Harders
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Simplified soft tissue models used in surgical simulations cannot perfectly reproduce all material behaviors. In particular, many tissues exhibit the Poynting effect, which results in normal forces during shearing of tissue and is only observed in nonlinear elastic material models. In order to investigate and quantify the role of the Poynting effect on material discrimination, we performed a multi-dimensional scaling (MDS) study. Participants were presented with several pairs of shear and normal forces generated by a haptic device during interaction with virtual soft objects. Participants were asked to rate the similarity between the forces felt. The selection of the material parameters — and thus the magnitude of the shear and normal forces — was based on a pre-study prior to the MDS experiment. It was observed that for nonlinear elastic tissue models exhibiting the Poynting effect, MDS analysis indicated that both shear and normal forces affect user perception.
End-user programming to support classroom activities on small devices
Authors: Craig Prince
Venue: Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing (2008)

We believe it is unreasonable to assume that all students will own a laptop. One potential solution is to depend on the students to bring whatever computing devices (cell phones, portable gaming devices, etc.) that they already own to class. This leaves a unique challenge for teachers both in creating activities that work across a wide set of devices with different input modalities and in interpreting the responses to these activities. We seek to explore an end-user programming solution for teachers to abstractly define an activity for use over a diverse set of devices — allowing for easy distribution and aggregation of the resulting responses.
Microsoft Outlook 2007 Advanced Quick Source Guide
Authors: Quick Source
Venue:  (2007)

Do you need an easy-to-follow software reference right at your fingertips? Our 6 page, tri-fold guides are the answer. These quick reference guides include step by step instructions to help users to learn software features more quickly, as well as full color screen graphics to highlight important features. Quick Source reference guides also include the software program s NEW features and gives you quick access to time saving shortcuts. The Microsoft Outlook 2007 Advanced Quick Source guide is a clear and concise tool for learning the advanced features in Outlook 2007. Features contained in this guide include Automatically Saving Message Drafts, Checking Names, Creating a Search Folder, Adding a Theme or Stationery to Messages, Inserting an Outlook Item, Creating a Rule, Changing the Calendar Work Week, Adding a Reminder to a Message, Contact, or Task, Viewing Activities for a Contact, Setting AutoArchive for All Folders, Creating a New Data File, Changing Data File Settings, and much more. 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
Semi-supervised anaphora resolution in biomedical texts
Authors: Caroline Gasperin
Venue: Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis (2006)

Resolving anaphora is an important step in the identification of named entities such as genes and proteins in biomedical scientific articles. The goal of this work is to resolve associative and coreferential anaphoric expressions making use of the rich domain resources (such as databases and ontologies) available for the biomedical area, instead of annotated training data. The results are comparable to extant state-of-the-art supervised methods in the same domain. The system is integrated into an interactive tool designed to assist FlyBase curators by aiding the identification of the salient entities in a given paper as a first step in the aggregation of information about them.
Reputation system for user-generated podcasting under community based mobility model
Authors: Liang Hu, Lars Dittmann
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

A user-generated podcasting service over mobile opportunistic networks can facilitate the user generated content dissemination while humans are on the move. However, in such a distributed and dynamic network environment, the design of efficient content forwarding and cache management schemes are challenging due to the lack of global podcast channel popularity information at each individual node. We design a distributed reputation system at each node for estimating the global channel popularity information which is significant for forwarding and cache management decision. Our simulation result shows that, compare to History-based rank scheme, our reputation system can significantly improve system performance under Community-based Random Way-Point (C-RWP) mobility model and localized channel popularity distribution. The performance evaluation under three C-RWP scenarios shows that the reputation system brings more performance gain when channel popularity distribution becomes more localized and node mobility become more localized.
FEATURE"At the End of the World, Plant a Tree": six questions for Adam Greenfield
Authors: Adam Greenfield, Tish Shute
Venue: interactions (2009)

Editors' Note: Adam Greenfield is Nokia's head of design direction for service and user-interface design, as well as the author of Everyware: The Dawning Age of Ubiquitous Computing and the upcoming The City Is Here for You to Use. He is also a compelling speaker and articulate blogger, and has become an authority in thinking about the impact of future ubiquitous technologies on people and society. In a lengthy interview with Tish Shute recently published on UgoTrade.com, Greenfield covered numerous topics including augmented reality, Usman Haque's Pachube project, the networked book, the networked city, and what to do at the end of the world. The interview is dense and rich, with many of the questions raised relevant to our audience. We asked Greenfield to expand on some of his answers for interactions.
Anonymized data: generation, models, usage
Authors: Graham Cormode, Divesh Srivastava
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Data anonymization techniques have been the subject of intense investigation in recent years, for many kinds of structured data, including tabular, graph and item set data. They enable publication of detailed information, which permits ad hoc queries and analyses, while guaranteeing the privacy of sensitive information in the data against a variety of attacks. In this tutorial, we aim to present a unified framework of data anonymization techniques, viewed through the lens of uncertainty. Essentially, anonymized data describes a set of possible worlds, one of which corresponds to the original data. We show that anonymization approaches such as suppression, generalization, perturbation and permutation generate different working models of uncertain data, some of which have been well studied, while others open new directions for research. We demonstrate that the privacy guarantees offered by methods such as k-anonymization and l-diversity can be naturally understood in terms of similarities and differences in the sets of possible worlds that correspond to the anonymized data. We describe how the body of work in query evaluation over uncertain databases can be used for answering ad hoc queries over anonymized data in a principled manner. A key benefit of the unified approach is the identification of a rich set of new problems for both the Data Anonymization and the Uncertain Data communities.
Algorithm Engineering for Large Data Sets
Authors: Roman Dementiev
Venue:  (2007)

Massive data sets arise naturally in many domains: database and geographic information systems, telecommunication, enterprise software, Internet, and scientific computing. Recently, the development of I/O-efficient algorithms and data structures for large data sets has received considerable attention. However, much less has been done to evaluate their performance. We present the software library Stxxl that enables practice-oriented experimentation with huge data. Stxxl is an implementation of the C++ standard template library STL for external memory computations. It supports parallel disks, overlapping between I/O and computation and it is the first external memory algorithm library that supports the pipelining technique that can save many I/Os. We engineer practical I/O-efficient algorithms and their Stxxl implementations for a number of graph and text processing problems. The performance of the Stxxl is evaluated on many synthetic and real-world inputs. This book is written for students, researchers and software developers who want to learn how the interplay of hardware, software, and state-of-the-art algorithms helps to achieve high-performance processing of massive data. 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
Object-Oriented Model for Fire Spread Prediction
Authors: Guillermina Pertino, Sabrina Tocho, Arturo Zambrano, Silvia Gordillo
Venue: Proceeding of the 2006 conference on Information Modelling and Knowledge Bases XVII (2006)

Fire is an extremely complex phenomenon and therefore fire spread prediction is not trivial. Spread prediction in grassland fires differs from the prediction in forest fires as the factors influencing each one are not the same. Moreover, input values for the algorithms differ depending on the factors they consider to have influence on fire behavior, even though the algorithms might be applicable to surfaces with similar characteristics. Selecting the most suitable algorithm in each particular case is not a simple task. In this paper, we describe an easily extensible object oriented model for fire spread prediction in, potentially, any surface. This is of great importance since new mathematical algorithms can be added in order to predict fire spread in new surfaces. Additionally, we present an approach to derive unavailable data, required by the algorithms, from other available data. Finally, we provide a way to manage the selection of the “most suitable algorithm” from a collection of applicable algorithms in a particular type of surface, depending on the needs of the user (accuracy, execution time, etc.).
Signal acquisition for the analyzing and compensation of the rotating shaft oscillations
Authors: Eugen Diaconescu, Luige Vladareanu, Emilian Lefter
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

This work describes a practical method of acquisition of experimental data characterizing the motion of the shaft of a four strokes internal combustion engine. In addition, the data are analyzed with LabVIEW. A solution is given to compensate the oscillations of the rotation motion of the shaft, and render it uniform, which can be extended to other applications. First, a mathematical model of the used engine was realized. Next, using the model, a theoretical characteristic, plottable, of the motor torque and of the oscillations of our real engine was deducted. The theoretical inherent model was used for the identification and evaluation of a practical compensating solution. The measurements made in the running regime, on the simulation stand, at different rotations and torque values of the loads, with the LabVIEW system, have allowed the comparison of the experimental data with the theoretical model and the quality assessment of the adopted solution adopted to compensate irregularities.