ppxscal/embedding_network huggingface dataset:
Sharing Experiences with Social Mobile Media
Authors: Jari Multisilta, Marcelo Milrad
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

In this workshop we are interested in usability, context and user practices related to uses of social mobile media for sharing human experiences. There is a growing trend pointing to life publishing and life logging using mobile devices. Users are sharing their experiences and their life with friends in real-time by posting blog notes, images and video clips from their phones to social media services. In addition, people are tagging content either by manually or using sensory data with their phones. An interesting question to be asked is; How users are experiencing these applications and what issues make them to be successfully adopted? This workshop will offer an interdisciplinary discussion forum for both practitioners and academics interested in conceptualizing, designing and evaluating emerging social mobile media concepts and applications. The workshop, through a series of interactive presentations, will facilitate discussions aiming at identify and summarize main theoretical and interaction design concerns related to the increasing use of social mobile media in a variety of settings. The main goal of the workshop is to find out ideas that suggest promising directions for future research on social mobile media.
Pedestrian Detection by Probabilistic Component Assembly
Authors: Martin Rapus, Stefan Munder, Gregory Baratoff, Joachim Denzler
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso and legs of a pedestrian. Components are detected using histograms of oriented gradients and Support Vector Machines (SVM). Optimal features are selected from a large feature pool by boosting techniques, in order to calculate a compact representation suitable for SVM. A Bayesian approach is used for the component grouping, consisting of an appearance model and a spatial model. The probabilistic grouping integrates the results, scale and position of the components. To distinguish both classes, pedestrian and non-pedestrian, a spatial model is trained for each class. Below miss rates of 8% our approach outperforms state of the art detectors. Above, performance is similar.
Approximate Antenna Modeling for CAD
Authors: Hubregt Visser
Venue:  (2009)

This step-by-step guide provides the reader with a detailed and thorough introduction to practical antenna design and model implementation In this book, Hubregt J. Visser provides an introduction to the fundamentals of antenna design and the implementation of design models. A variety of antennas for wireless applications and communications systems are explained, and the real-life use of the antennas is demonstrated through extensive use of application examples. The author includes discussions on the design process of several antennas, such as intravascular MR Antennas, PCB antennas, RFID antennas, rectennas etc. Furthermore, emphasis is placed on Computer Aided Design (CAD) using approximated models. Key Features Includes coverage on intravascular MR Antennas, PCB antennas, RFID antennas, rectennas, etc Comprehensively details the application areas, modeling, analysis, and validation processes for individual antennas Discusses the use of equivalent dipole antennas, equivalent transmission line networks and electrostatics Introduces many antennas and models that have not been covered in previous publications (such as MRI Antennas, for example) This book will be of interest to microwave and antenna engineers. Graduate and post-graduate antennas students studying BSc and MSc courses, as well as research assistants will also find this book insightful. 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
Research of the Service Design Approach Based on SCA_OSGi
Authors: Weibo Li, Yanbing Zhang, Jie Jin
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

On the basis of explaining SCA and OSGi technology, this Paper introduces an application architecture and its implementation method that integrate SCA and OSGi technology, solving the dynamic problem of SCA Service Component, improving implementation of the SCA architecture to SOA, consequently enhancing the flexibility and the practicality of SCA architecture.
Synthetic turbulence using artificial boundary layers
Authors: Tobias Pfaff, Nils Thuerey, Andrew Selle, Markus Gross
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

Turbulent vortices in fluid flows are crucial for a visually interesting appearance. Although there has been a significant amount of work on turbulence in graphics recently, these algorithms rely on the underlying simulation to resolve the flow around objects. We build upon work from classical fluid mechanics to design an algorithm that allows us to accurately precompute the turbulence being generated around an object immersed in a flow. This is made possible by modeling turbulence formation based on an averaged flow field, and relying on universal laws describing the flow near a wall. We precompute the confined vorticity in the boundary layer around an object, and simulate the boundary layer separation during a fluid simulation. Then, a turbulence model is used to identify areas where this separated layer will transition into actual turbulence. We sample these regions with vortex particles, and simulate the further dynamics of the vortices based on these particles. We will show how our method complements previous work on synthetic turbulence, and yields physically plausible results. In addition, we demonstrate that our method can efficiently compute turbulent flows around a variety of objects including cars, whisks, as well as boulders in a river flow. We can even apply our model to precomputed static flow fields, yielding turbulent dynamics without a costly simulation.
TS-A: A Hierarchy Extended Cellular Automata Model for Complex Networking Storage System
Authors: Jincai Chen, Lanlan Yuan, Gongye Zhou
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

In order to analyze the dynamic behaviors of complex networking storage system, a hybrid analysis model called TS-A (Transit-Stub-Automata) is proposed. This analysis model is a hierarchy extended cellular automata; it extends cellular lattice to the hierarchy domains topology, so it can reflect more characteristics of the real storage network, and it is very suitable for simulating the evolution of the dynamic networking storage system.
Ontologies and Databases: The DL-Lite Approach
Authors: Diego Calvanese, Giuseppe Giacomo, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Mariano Rodriguez-Muro, Riccardo Rosati
Venue: Reasoning Web. Semantic Technologies for Information Systems: 5th International Summer School 2009, Brixen-Bressanone, Italy, August 30 - September 4, 2009, Tutorial Lectures (2009)

Ontologies provide a conceptualization of a domain of interest. Nowadays, they are typically represented in terms of Description Logics (DLs), and are seen as the key technology used to describe the semantics of information at various sites. The idea of using ontologies as a conceptual view over data repositories is becoming more and more popular, but for it to become widespread in standard applications, it is fundamental that the conceptual layer through which the underlying data layer is accessed does not introduce a significant overhead in dealing with the data. Based on these observations, in recent years a family of DLs, called DL-Lite, has been proposed, which is specifically tailored to capture basic ontology and conceptual data modeling languages, while keeping low complexity of reasoning and of answering complex queries, in particular when the complexity is measured w.r.t. the size of the data. In this article, we present a detailed account of the major results that have been achieved for the DL-Lite family. Specifically, we concentrate on $DL-Lite_{\mathcal{A},id}$, an expressive member of this family, present algorithms for reasoning and query answering over $DL-Lite_{\mathcal{A},id}$ ontologies, and analyze their computational complexity. Such algorithms exploit the distinguishing feature of the logics in the DL-Lite family, namely that ontology reasoning and answering unions of conjunctive queries is first-order rewritable, i.e., it can be delegated to a relational database management system. We analyze also the effect of extending the logic with typical DL constructs, and show that for most such extensions, the nice computational properties of the DL-Lite family are lost. We address then the problem of accessing relational data sources through an ontology, and present a solution to the notorious impedance mismatch between the abstract objects in the ontology and the values appearing in data sources. The solution exploits suitable mappings that create the objects in the ontology from the appropriate values extracted from the data sources. Finally, we discuss the QUONTO system that implements all the above mentioned solutions and is wrapped by the DIG-QUONTO server, thus providing a standard DL reasoner for $DL-Lite_{\mathcal{A},id}$ with extended functionality to access external data sources.
A CMOS image sensor with light-controlled oscillating pixels for an investigative optobionic retinal prosthesis system
Authors: Yan Huang, Emmanuel M. Drakakis, Patrick Degenaar, Chris Toumazou
Venue: Microelectronics Journal (2009)

This paper presents a high-dynamic range CMOS image sensor architecture incorporating light-controlled oscillating pixels which can act as front-end for an investigative optobionic retinal prosthesis research effort. Each pixel acts as an independent oscillator, whose frequency is proportional to the local light intensity. A 9x9 pixel array has been fabricated in the AMS 0.35@mm CMOS opto process. Each pixel's area amounts to 160x160@mm^2, each pixel photodiode area is 20x20@mm^2 while the array occupies 2.89mm^2. Measured results show that the sensor can achieve a linear optical dynamic range of 80dB (from 0.24Hz to 2.2kHz). Its linear electrical dynamic range exceeds 134dB (from 100mHz to 502kHz). The nominal power dissipation is about 50nW per pixel.
Bipolar Pulse Electroforming in Precision Mold Tooling of Nonmetal Mandrel
Authors: Hongyou Li, Xiaomei Liu, Yinbiao Guo, Chen Jiang, Hui Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Electroforming is the use of electrodeposition of metal onto a master that is subsequently separated from the deposit to produce a metal shell. The ability to manufacture complex parts to close tolerances and cost effectively has meant that electroforming has applications both in precision mold tooling. Because of simplifying technical process and shortening molding cycles, electroforming is also a rapid manufacturing technology. Bipolar pulsed current electroforming is known to result in better precision and surface finish. In this paper, bipolar pulse current electroforming is introduced. Experiments on nickel electroforming in nonmetal mandrel have been done. The results indicated bipolar pulse current could improve the quality and precision further, reduce internal stress further.
Mobile IPv6 deployments: Graph-based analysis and practical guidelines
Authors: Guillaume Valadon, Clémence Magnien, Ryuji Wakikawa
Venue: Computer Communications (2009)

The Mobile IPv6 protocol is a major solution to supply mobility services on the Internet. Many networking vendors have already implemented it in their operating systems and equipments. Moreover, it was recently selected to provide permanent IP addresses to end-users of WiMAX and 3GPP2. Mobile IPv6 relies on a specific router called the home agent that hides location changes of the mobile nodes from the rest of the Internet. To do so, the mobile nodes' traffic must flow through the home agent. This mandatory deviation produces longer paths and higher communication delays. In order to solve these problems, we describe a new approach to address deployments of Mobile IPv6 based on graph theory and could be applied to any operator's network. In particular, we use notions of centrality in graphs to quantify increases of communication distances induced by dogleg routing and identify relevant home agents locations. We evaluate this approach using real-world network topologies and show that the obtained Mobile IPv6 performance could be close to direct paths ones. The proposed algorithm is generic and can be used to achieve efficient deployments of Mobile IPv6 as well as Home Agent Migration: a new Mobile IPv6 architecture using several distributed home agents.
The Art of Computer Programming, Volume 4, Fascicles 0-4, 1st edition
Authors: Donald E. Knuth
Venue:  (2009)

A shrinkwrapped bundle of Fascicles 0-4 of Knuths Volume 4, arguably the most influential work ever written on computer programming These five fascicles comprise roughly the first 30% of the long-awaited Volume 4 of The Art of Computer Programming Suggested list price is $10 off the price of buying them individually These fascicles contain many new exercises, arranged carefully for self-instruction, together with detailed answers
What Do Academic Users Really Want from an Adaptive Learning System?
Authors: Martin Harrigan, Miloš Kravčík, Christina Steiner, Vincent Wade
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

When developing an Adaptive Learning System (ALS), users are generally consulted (if at all) towards the end of the development cycle. This can limit users' feedback to the characteristics and idiosyncrasies of the system at hand. It can be difficult to extrapolate principles and requirements, common to all ALSs, that are rated highly by users. To address this problem, we have elicited requirements from learners and teachers across several European academic institutions through explorative, semi-structured interviews [1]. The goal was to provide a methodology and an appropriate set of questions for conducting such interviews and to capture the essential requirements for the early iterations of an ALS design. In this paper we describe the methodology we employed while preparing, conducting, and analyzing the interviews and we present our findings along with objective and subjective analysis.
Personalized Popular Blog Recommender Service for Mobile Applications
Authors: Pei-Yun Tsai, Duen-Ren Liu
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

Weblogs have emerged as a new communication and publication medium on the Internet for diffusing the latest useful information. Providing value-added mobile services such as blog articles is increasingly important to attract mobile users to mobile commerce. There are, however, a tremendous number of blog articles, and mobile users generally have difficulty in browsing weblogs. Accordingly, providing mobile users with blog articles that suit their interests is an important issue. Very little research, however, focuses on this issue. In this work, we propose a Customized Content Service on a mobile device (m-CCS) to filter and push blog articles to mobile users. The m-CCS can predict the latest popular blog topics by forecasting the trend of time-sensitive popularity of weblogs. Furthermore, to meet the diversified interest of mobile users, m-CCS further analyzes users' browsing logs to derive their interests, which are then used to recommend their preferred popular blog topics and articles. The prototype system of m-CCS demonstrates that the system can effectively recommend mobile users desirable blog articles with respect to both popularity and personal interests.
The Development of Inventory Management Information System Based on Workflow Technology
Authors: Qiu Xiaoping, Du Weifeng, Tang Li, He Zhenggang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

This paper identifies the problem which existed in the application of the current inventory information system in the enterprise at present, analyzed and designed the inventory information system again based on workflow technology. Through analyzing the workflow relation data, the inventory management information system is developed under the control of the workflow engine, including the data structure and the detailed data. Finally, the experiment is carried out to validate the effectiveness of the new information system and check the ability of adapt the business process change, which provides an optional information way to other similar business process for the enterprises.
What Is a Multi-modeling Language?
Authors: Artur Boronat, Alexander Knapp, José Meseguer, Martin Wirsing
Venue: Recent Trends in Algebraic Development Techniques: 19th International Workshop, WADT 2008, Pisa, Italy, June 13-16, 2008, Revised Selected Papers (2009)

In large software projects often multiple modeling languages are used in order to cover the different domains and views of the application and the language skills of the developers appropriately. Such "multi-modeling" raises many methodological and semantical questions, ranging from semantic consistency of the models written in different sublanguages to the correctness of model transformations between the sublanguages. We provide a first formal basis for answering such questions by proposing semantically well-founded notions of a multi-modeling language and of semantic correctness for model transformations. In our approach, a multi-modeling language consists of a set of sublanguages and correct model transformations between some of the sublanguages. The abstract syntax of the sublanguages is given by MOF meta-models. The semantics of a multi-modeling language is given by associating an institution, i.e., an appropriate logic, to each of its sublanguages. The correctness of model transformations is defined by semantic connections between the institutions.
Preview Control of an Active Vehicle Suspension System Based on a Four-Degree-of-Freedom Half-Car Model
Authors: Yan Li, Shaojun Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In recent years, much research has been carried out in the design of active and semi-active suspensions of vehicles for better vehicle response. In order to investigate the effectiveness not only in riding comfort but also in road handling, a half-car model with the hydro-pneumatic active suspension system is proposed in this study. Whole preview control method and partial preview control method , in which the road information detected by the front wheel is sent to the controller to decide the input to rear suspension , are taken into design of the active suspension control system. Results of numerical simulation show that satisfactory control efficiency could be achieved in both whole preview control and partial preview control. The comparison of results suggests that whole preview control method can provide better system performance, but the partial preview control method is superior due to its lower cost.
Localization in Sensor Networks with Fading Channels Based on Nonmetric Distance Models
Authors: Viet-Duc Le, Young-Koo Lee, Sungyoung Lee
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

Wireless Sensor Network (WSN) applications nowadays are an emerging avenue in which sensor localization is an essential and crucial issue. Many algorithms have been proposed to estimate the coordinate of sensors in WSNs, however, the attained accuracy in real-world applications is still far from the theoretical lower bound, Crame-Rao Lower Bound (CRLB), due to the effects of fading channels. In this paper, we propose a very simple and light weight statistical model for rang-based localization schemes, especially for the most typical localization algorithms based on received signal strength (RSS) and time-of-arrival (TOA). Our proposed method infers only the order or the nomination of given distances from measurement data to avoid significant bias caused by fading channels or shadowing. In such way, it radically reduces the effects of the degradation and performs better than existing algorithms do. With simulation of fading channels and irregular noises for both the RSS-based measurement and the TOA-based measurement, we analyze and testify both the benefits and the drawbacks of the proposed models and the localization scheme.
Low-Overhead Implementation of a Soft Decision Helper Data Algorithm for SRAM PUFs
Authors: Roel Maes, Pim Tuyls, Ingrid Verbauwhede
Venue: Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems (2009)

Using a Physically Unclonable Function or PUF to extract a secret key from the unique submicron structure of a device, instead of storing it in non-volatile memory, provides interesting advantages like physical unclonability and tamper evidence. However, an additional Helper Data Algorithm (HDA) is required to deal with the fuzziness of the PUF's responses. To provide a viable alternative to costly protected non-volatile memory, the PUF+HDA construction should have a very low overhead. In this work, we propose the first HDA design using soft-decision information providing an implementation that occupies 44.8% less resources than previous proposals. Moreover, the required size of the used PUF can be reduced upto 58.4% due to the smaller entropy loss.
Nonlinear Dynamic Indications in Time Series of Epilepsy Electroencephalogram
Authors: Ta-Cheng Chen, Jiunn-I Shieh, Kuei-Jen Lee, Jing-Doo Wang, Pei-Chun Chang, Hsiang-Chuan Liu
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

Epilepsy is a chronic neurological disorder that is characterized by recurrent unprovoked seizures. These seizures are due to abnormal, excessive or synchronous neuronal activity in the brain. For a neural network, such as brain, nonlinearity is necessary to descript the complexity of dynamic system. In this study, we compared some nonlinear dynamic indictions, such as Hurst exponent, sample entropy, and detrended fluctuation in time series of epilepsy electroencephalogram regarding different physiological and pathological brain states. We found that The Hurst exponent did not differ between healthy volunteers and intracranial patients (p>0.05). The sample entropy value did not differ between healthy volunteers and seizure active patients (p>0.05). In other cases we found statistical significant differences between investigated data sets. We concluded that using nonlinear dynamic indications we could discriminate the electroencephalogram regarding different physiological and pathological brain states of epilepsy patients.
Accessing Positive and Negative Online Opinions
Authors: Hanhoon Kang, Seong Joon Yoo, Dongil Han
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Nowadays, an increasing number of people review the comments on each item before they will purchase the commodities and services offered by online shopping malls, Internet blogs, or cafés. However, it is somewhat challenging to routinely read trough all of the comments. The purpose of this study is to introduce some methods to classify the positive or negative review pertaining to the blog comments on a movie written in Korean. For this purpose, a variety of algorithms was used to classify the reviews and allow feature-selection by applying the traditional machine learning method for classifying literature.