ppxscal/embedding_network huggingface dataset:
Learning from IKEA hacking: i'm not one to decoupage a tabletop and call it a day.
Authors: Daniela Rosner, Jonathan Bean
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

We present a qualitative study based on interviews with nine IKEA Hackers - people who go online to share the process of repurposing IKEA products to create personalized objects. Whether they were making a self-conscious artistic statement or simply modifying a towel rack to fit in a small bathroom, IKEA hackers illuminate an emergent practice that provides insights into contemporary changes in creativity. We discuss the motivations for IKEA hacking and explore the impact of information technology on do-it-yourself culture, design, and HCI.
Simulating the Pāninian System of Sanskrit Grammar
Authors: Anand Mishra
Venue: Sanskrit Computational Linguistics: First and Second International Symposia Rocquencourt, France, October 29-31, 2007 Providence, RI, USA, May 15-17, 2008 Revised Selected and Invited Papers (2009)

We propose a model for computer representation of the Pāninian system of sanskrit grammar. Based on this model, we render the grammatical data and simulate the rules of Aṣṭ ādhyā yī on computer. We then employ these rules for generation of morpho-syntactical components of the language. These generated components we store in a p-subsequential transducer. This we use to develop a lexicon on Pāninian principles. We report briefly its implementation.
An intrinsic model of coregionalization that solves variance inflation in collocated cokriging
Authors: Olena Babak, Clayton V. Deutsch
Venue: Computers Geosciences (2009)

Sequential Gaussian simulation (SGS) is a widely used geostatistical simulation approach for continuous variables. A variant of SGS that employs collocated cokriging under a Markov model is commonly applied to integrate seismic data and to cosimulate multiple variables. This approach is popular because it is simple; the correlation coefficient between the primary variable being modeled and secondary data is the sole additional statistic required to integrate the secondary data. Collocated cokriging, however, has a longstanding problem with variance inflation that leads to a systematic bias in the mean and variance of the simulated realizations. An alternative approach is presented here that is equally simple, with no additional parameters needed. An intrinsic model of coregionalization is adopted for cokriging using secondary data at the location being considered and at the locations of the primary data. The resulting technique can be referred to as intrinsic collocated cokriging (ICCK). The resulting estimates are checked carefully and no variance inflation is observed. This implementation should systematically replace all versions of the Markov model and collocated cokriging.
FPGA Analysis Tool: High-Level Flows for Low-Level Design Analysis in Reconfigurable Computing
Authors: Krzysztof Kępa, Fearghal Morgan, Krzysztof Kościuszkiewicz, Lars Braun, Michael Hübner, Jürgen Becker
Venue: Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications (2009)

The growth of the reconfigurable systems community exposes diverse requirements with regard to functionality of Electronic Design Automation (EDA) tools. Those targeting reconfigurable design analysis and manipulation require low-level design tools for bitstream debugging and IP core design assurance. While tools for low-level analy sis of design netlists do exist there is a need for a low-level, open-source, extended tool support.This paper reports a Field Programmable Gate Array (FPGA) Analysis Tool (FAT) being a versatile, modular and open-source tools framework for low-level analysis and verification of FPGA designs. The analysis performed by FAT is based on available Xilinx FPGA device specification data. FAT provides a set of standalone, high-level Application Programming Interfaces (APIs) abstracting the Xilinx FPGA fabric, the placed and routed design netlist and the related bitstream. The operation of FAT is governed by "recipe" scripts. A lightweight graphic front-end allows visualisation of the design within the FPGA fabric. The paper illustrates the application of FAT for bit-pattern analysis of the Virtex-II Pro inter-tile routing and verification of the spatial isolation between designs.
Spring Persistence A Running Start
Authors: Paul Fisher, Solomon Duskis
Venue: Firstpress (2009)

Published with the developer in mind, firstPress technical briefs explore emerging technologies that have the potential to be critical for tomorrows industry. Apress keeps developers one step ahead by presenting key information as early as possible in a PDF of 150 pages or less. Explore the future through Apress with Spring PersistenceA Running Start. This firstPress title gets readers rolling with the various fundamental Spring Framework Java Persistence concepts and offerings, as well as proven design patterns for integrating Spring Persistence functionality for complex and transactionbased enterprise Java applications. The Java platform offers several options for saving longlived information, including JPA (Java Persistence API), Hibernate, iBatis, JDBC, and even JCR (Java Content Repositorya standard for interfacing with a content management system). This book helps readers decide which persistence solution is the most ideal for their application requirements, and shows how Spring can be leveraged to simplify the integration of their selected persistence framework into their enterprise application. What youll learn Learn to implement Spring Persistence, which involves persistence tools in Spring as well as choosing the best Java persistence frameworks/tools outside of Spring. Work with Spring Framework features such as Inversion of Control, Aspect Oriented Programming (AOP), and more. Understand the core concepts of JPA and steps for integrating JPA for architecting a welllayered persistence tier. Work with Hibernate and integrate it into your Spring applications. Develop with the iBatis framework, and see how it differs from other persistence solutions. Work with SpringJDBC, declarative transactions with Spring, and discover the benefits of a lightweight persistence strategy. Examine other persistence concepts and frameworks not usually covered in other books. Who is this book for? This book is ideal for developers interested in learning more about persistence framework options on the Java platform, as well as fundamental Spring concepts. Because the book covers several persistence frameworks, it is suitable for anyone interested in learning more about Spring or any of the frameworks covered. Lastly, this book covers advanced topics related to persistence architecture and design patterns and is ideal for beginning developers looking to learn more in this area as well.
NovelWatermarking Authentication Schemes for Binary Images Based on Dual-Pair Block Pixel Patterns
Authors: Chung-Chuan Wang, Chin-Chen Chang, Jinn-Ke Jan
Venue: Fundamenta Informaticae (2009)

In this paper, watermarking authentication schemes for binary images are investigated. Dual-Pair Blocks (DPBs), 2 &times; 2 blocks with two black and two white pixels, are employed as the basic units of information embedding. With 6 distinctive patterns obtained by pixel patterns, a DPB can be represented by a senary value as the embedding information. Variable length coding is adopted to enhance the information embedding capacity of the DPB. The secret key of the watermarking is a pseudo random function with a seed value, which selects DPBs for information embedding. Based on the aforementioned framework, two novel watermarking schemes are presented. The first one, named dual-pair block authentication (DPBA), is an irreversible one featuring high information embedding capacity, and well visual quality. The second scheme, named senary Huffman compression authentication (SHCA) scheme, supports reversible watermarking unique in the literature. Matching-pair technique is further employed both schemes to reduce the number of altered bits after watermarking for better visual quality. Experimental results show that, the DPBA scheme has the highest information embedding capacity on all comparing schemes. The average compression ratio of the reversible SHCA scheme is up to 38.96%. The average distortion rates per accessed DPB for the proposed DPBA and SHCA schemes are 0.485 and 0.46, respectively.
Minimum spanning tree based one-class classifier
Authors: Piotr Juszczak, David M. J. Tax, Elbieta Pekalska, Robert P. W. Duin
Venue: Neurocomputing (2009)

In the problem of one-class classification one of the classes, called the target class, has to be distinguished from all other possible objects. These are considered as non-targets. The need for solving such a task arises in many practical applications, e.g. in machine fault detection, face recognition, authorship verification, fraud recognition or person identification based on biometric data. This paper proposes a new one-class classifier, the minimum spanning tree class descriptor (MST_CD). This classifier builds on the structure of the minimum spanning tree constructed on the target training set only. The classification of test objects relies on their distances to the closest edge of that tree, hence the proposed method is an example of a distance-based one-class classifier. Our experiments show that the MST_CD performs especially well in case of small sample size problems and in high-dimensional spaces.
Research on Content-awareness Protocol of Knowledge Communication Based on Ontology
Authors: Li Wang, Liqing Liu, Gaoxia Hu
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

With the development of computer network, the intelligent degree of communication individuals was significantly increased, the requirement of automatic processing on communication message was also significantly increased, but the content of communication message itself hasn’t meaning, communication individuals can’t understand the content of communication, so resource can’t be used adequately, the assignment which need collaboration can’t be completed on time. A new knowledge communication protocol which implements content awareness by ontology technology is proposed in order to make intelligent communication individuals in different area can understand the information between them, and by the new communication model built on the high layer, intensifies the understanding of communication content, optimizes the quality of network communication.
Computational cost of the Fekete problem I: The Forces Method on the 2-sphere
Authors: E. Bendito, A. Carmona, A. M. Encinas, J. M. Gesto, A. Gómez, C. Mouriño, M. T. Sánchez
Venue: Journal of Computational Physics (2009)

Here, we study the computational complexity of the Fekete point problem. Namely, we give an exhaustive description of the main properties of an algorithm for the minimization of the logarithmic potential energy on the 2-sphere, and we characterize the probability distribution of the cost of the different minima. In particular, we show that a local minimum can be found with an average cost of about O(N^2^.^8).
Generating pictorial-based representation of mental images for video monitoring
Authors: Chuan-Heng Hsiao, Wei-Chia Huang, Kuan-Wen Chen, Li-Wei Chang, Yi-Ping Hung
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

Multi-camera systems have been widely used in many video surveillance applications. When an event happens and is monitored across multiple cameras, it is easy for an expert to generate the corresponding spatial representation to comprehend the series of event. However, it is not trivial for users new to the environment. With support from psychological evidences, we propose an approach to mimic generating pictorial-based representation of mental images when a target is moving across the views of cameras. First we conduct a ball-rolling experiment to compare this approach with others. The empirical results demonstrate that the performance of users with this approach is significantly better than others. We suggest that it is because this approach is better for users to preserve spatial representation of the environment while transiting views between cameras. Then we propose a framework to realize this approach. The demonstrations in different situations indicate the validity of such framework.
Plenary lecture I: fast 3D reconstruction and recognition
Authors: Marcos A. Rodrigues
Venue: Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision (2008)

In this presentation we discuss methods for 3D reconstruction from a single 2D shot using multiple stripe line projection. We also present 3D recognition strategies with an application example to 3D face recognition. The technology has been developed and patented within our research group; we start by considering the required 2D image filtering and enhancement and the mathematical fundamentals of 3D reconstruction. The method allows 3D reconstruction in 40 milliseconds, which renders it suitable for on-line reconstruction with applications into security, manufacturing, medical engineering and entertainment industries. The incorporation of data acquired as 3D surface scans of human faces into applications such as biometry and multimedia present particular challenges concerning identification and modelling of features of interest. The challenge is to accurately and consistently find predefined features such as the corners of the eyes and the tip of the nose for instance. In the field of biometry, if 3D face recognition is to compete with 2D methods, these features must be found to an accuracy greater than 1:1000. In multimedia, the greatest problem occurs with animated 3D faces, where very small inaccuracies are clearly seen in moving faces. These issues will be considered and examples shown on how the technology can be effectively deployed.
Linguistic Ethnography: Identifying Dominant Word Classes in Text
Authors: Rada Mihalcea, Stephen Pulman
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

In this paper, we propose a method for "linguistic ethnography" --- a general mechanism for characterising texts with respect to the dominance of certain classes of words. Using humour as a case study, we explore the automatic learning of salient word classes, including semantic classes (e.g., person, animal), psycholinguistic classes (e.g., tentative, cause), and affective load (e.g., anger, happiness). We measure the reliability of the derived word classes and their associated dominance scores by showing significant correlation across different corpora.
How political mechanism influences digital government: comparative case study of United States and China
Authors: Wu Hao
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

Digital Government (DG) has become a hot topic in the field of the governmental administration. In China, various kinds of DG projects mushroomed all over the country. In addition, financial expenditure put in this field was estimated at no less than 5 billion dollars annually. Because USA is birthplace of ICT and Digital Government, many Chinese scholars and officers took on USA as the model of China. Some criticized the digital government in China by using the case of USA as a criterion. Others suggested that China should transplant some experiences of USA directly. However, the experience from USA does not work well in the practice of China. For example, CIO in government, which was an idea initiated in USA, has not found its seat in Chinese Governments till now. The author of this paper believes that the reasons for such a transfer to fail are great differences between these two countries in the field of political mechanism. Differences existing in the political system and administration are the fundamental reasons resulting in various patterns of DG. For example, in decentralized countries, Digital Government systems are usually established by local governments at different levels. These systems are usually small and have no interactive links between each other. However, in the countries with centralization of administrative power, DG projects are usually established as integrated systems within a country or a province, with relatively large scale and interactive links more conveniently accessible for governments at different levels, although their application is still far from the ideal in the actual operation. This article reports the results of research on the influence of the political systems and administrations over DG on the basis of United States of America and China, and puts forward a hypothesis how the political mechanism influences DG. This research was supported by the Education Ministry of China, under the project 07JZD0019.
Visualizing underwater ocean optics
Authors: Diego Gutierrez, Francisco J. Seron, Adolfo Munoz, Oscar Anson
Venue: ACM SIGGRAPH ASIA 2008 courses (2008)

Simulating the in-water ocean light field is a daunting task. Ocean waters are one of the richest participating media, where light interacts not only with water molecules, but with suspended particles and organic matter as well. The concentration of each constituent greatly affects these interactions, resulting in very different hues. Inelastic scattering events such as fluorescence or Raman scattering imply energy transfers that are usually neglected in the simulations. Our contributions in this paper are a bio-optical model of ocean waters suitable for computer graphics simulations, along with an improved method to obtain an accurate solution of the in-water light field based on radiative transfer theory. The method provides a link between the inherent optical properties that define the medium and its apparent optical properties, which describe how it looks. The bio-optical model of the ocean uses published data from oceanography studies. For inelastic scattering we compute all frequency changes at higher and lower energy values, based on the spectral quantum efficiency function of the medium. The results shown prove the usability of the system as a predictive rendering algorithm. Areas of application for this research span from underwater imagery to remote sensing; the resolution method is general enough to be usable in any type of participating medium simulation.
Can Mutual Fund Really Pick Stocks? A Bootstrap Analysis
Authors: Ning Xu, Zhi-xin Liu
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

We apply a new bootstrap statistical technique to distinguish between ‘skill’ and ‘luck’ for individual funds. This methodology allows for non-normality in the idiosyncratic risk of the funds-a major issue when considering those funds which appear to be either very good or very bad performers, since these are the funds which investors are primarily interested in identifying. Our bootstrap approach uncovers findings that differ from many past studies. We find that the best funds performance cannot be explained by luck, there exists stock picking ability among a relatively small number of top performing mutual funds.
HRPMA: A Hybrid Routing Protocol Based on Mobile Agent for Wireless Ad Hoc Networks
Authors: Zhang Yi, Wang Xiaofei, Zhang Xiumei, Feng Li
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 02 (2009)

This paper presents a hybrid routing protocol based on Mobile Agent (HRPMA) for Ad Hoc Networks (MANET). In the proposed approach, a few mobile agents move in the network and communicate with each node. They collect the network information to build the global information matrix of nodes. The data packets are transferred according to the matrix by a routing search algorithm. We have done the experiments in simulated environment of NS-2 system. This approach needs fewer moving agents to get more global information; therefore it reduces the overhead and is very efficient and robust.
Information system classification
Authors: Jirava Pavel, Křupka Jiří
Venue: Proceedings of the 8th conference on Systems theory and scientific computation (2008)

In this paper the evaluation of two information systems on the basis of rough sets theory are presented. The information systems are represented as a table where every column represents an attribute (a variable, a property). This attribute can be measured or may be too supplied by human expert. To obtain the necessary data the questionnaires were use. Performed experiments have proved the correctness of proposed approach.
A Simple Adaptive Algorithm for Principle Component and Independent Component Analysis
Authors: Hyun-Chool Shin, Hyoung-Nam Kim, Woo-Jin Song
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

In this letter we propose a simple adaptive algorithm which solves the unit-norm constrained optimization problem. Instead of conventional parameter norm based normalization, the proposed algorithm incorporates single parameter normalization which is computationally much simpler. The simulation results illustrate that the proposed algorithm performs as good as conventional ones while being computationally simpler.
An intelligent strategy for checking the annual inspection status of motorcycles based on license plate recognition
Authors: Yo-Ping Huang, Chien-Hung Chen, Yueh-Tsun Chang, Frode Eika Sandnes
Venue: Expert Systems with Applications: An International Journal (2009)

License plate recognition techniques have been successfully applied to the management of stolen cars, management of parking lots and traffic flow control. This study proposes a license plate based strategy for checking the annual inspection status of motorcycles from images taken along the roadside and at designated inspection stations. Both a UMPC (Ultra Mobile Personal Computer) with a web camera and a desktop PC are used as hardware platforms. The license plate locations in images are identified by means of integrated horizontal and vertical projections that are scanned using a search window. Moreover, a character recovery method is exploited to enhance the success rate. Character recognition is achieved using both a back propagation artificial neural network and feature matching. The identified license plate can then be compared with entries in a database to check the inspection status of the motorcycle. Experiments yield a recognition rate of 95.7% and 93.9% based on roadside and inspection station test images, respectively. It takes less than 1s on a UMPC (Celeron 900MHz with 256MB memory) and about 293ms on a PC (Intel Pentium 4 3.0GHz with 1GB memory) to correctly recognize a license plate. Challenges associated with recognizing license plates from roadside and designated inspection stations images are also discussed.
A Framework for Tangible User Interfaces within Projector-based Mixed Reality
Authors: Yuan Yuan, Xubo Yang, Shuangjiu Xiao
Venue: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (2007)

This paper proposes a framework named TIPMR, for designing tangible user interfaces (TUIs) within projector-based mixed reality applications. The framework divides the target application into three parts: GUI-based application, TUI and an assistant. The assistant is employed as an adapter to translate between TUI operations and general GUI commands like mouse or keyboard events. This architecture makes it easier to focus on designing GUI-based applications and TUI separately. We built a tourist guidance system with two different tangible interaction modes based on TIPMR to demonstrate its usefulness and efficiency.