ppxscal/embedding_network huggingface dataset:
Mac OS X 10.5 Leopard: Visual QuickStart Guide, 1st edition
Authors: Maria Langer
Venue:  (2007)

Apples next version of its OS, code-named Leopard, will keep Mac users in the forefront of making the most from their computers. Respected, best-selling author Maria Langer takes readers through Mac OS Xs groundbreaking capabilities, including new applications such as Time Machine and Spaces and revamped applications such as Mail, Dashboard, Spotlight, and iCal. With plenty of screenshots to clearly illustrate techniques, this reasonably priced guide is a great reference to the essentials of Mac OS X Leopard. Easy visual approach uses pictures to guide you through Mac OS X and show you what to do. Concise steps and explanations let you get up and running in no time. Page for page, the best content and value around. Companion Web site offers tips, links, updates, and more at www.marialanger.com/category/book-support/macosquickstart/. Maria Langer has written more than 70 computer books, including best-selling Visual QuickStart Guides on Mac OS X, Microsoft Word, and Microsoft Excel, as well as hundreds of articles for magazines and Web sites. A Macintosh user since 1989, Maria never tires of teaching her Macs new tricks. When shes not writing, Maria is working hard to build her helicopter tour and charter business, Flying M Air. Visit Maria on the Web at www.marialanger.com. 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
New model function methods for determining regularization parameters in linear inverse problems
Authors: Zewen Wang, Jijun Liu
Venue: Applied Numerical Mathematics (2009)

When the damped Morozov discrepancy principle is used to determine the Tikhonov regularization parameter, one should theoretically solve a nonlinear equation by some iteration process, which is generally of local convergence with large amount of computations. This paper considers an approximation of the regularization parameter under the model function framework, which solves an approximate Morozov equation with an explicit expression iteratively. For this approximation, three kinds of new model functions are proposed. The corresponding new algorithms for determining the regularization parameters are also established, with the rigorous proof of global convergence under a unified framework. Our work is a generalization and improvement of the earlier model function method [J.L. Xie, J. Zou, Inverse Problems 18 (5) (2002) 631-643]. Numerical implementations for some ill-posed problems are presented to illustrate the validity of the proposed algorithms.
Towards a paradigmatic shift in IS: designing for social practice
Authors: Markus Rohde, Gunnar Stevens, Peter Brödner, Volker Wulf
Venue: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology (2009)

The paper elaborates on the theoretical foundation of Information System understood as a field of design science. Revisiting Hevner's et al. seminal paper [44], we elaborate on theoretical and conceptual shortcomings. Theoretically, we state a somehow limited perception of pragmatist thinking. Conceptually, we criticize a limited definition of the IS research field and argue in favour of an (obligatory) evaluation of IT artifacts in real world settings. To develop the design science paradigm beyond these shortcomings, we present a theoretical framework which takes the interrelation of IT artifacts and social practices as a central focus of research. Such an epistemological and ontological opening of the design science perspective leads to methodological implications. We exemplify methodological shifts by taking the Canonical Action Research (CAR) method as a problematic example. Design probes are discussed as a method which holds considerable promises under a reframed paradigm. The consequences of the theoretical and methodological reflections for a socially relevant IS design science are discussed finally.
The Pathologies of Big Data
Authors: Adam Jacobs
Venue: Queue (2009)

Scale up your datasets enough and all your apps will come undone. What are the typical problems and where do the bottlenecks generally surface?
Research on Method of Double-Layers BP Neural Network in Prediction of Crossroads' Traffic Volume
Authors: Yuming Mao, Shiying Shi, Hai Yang, Yuanyuan Zhang
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Intelligent transportation systems(ITS) is effective on solving the problem of traffic jam in cities. Prdiction of crossroads' traffic volume is the key technology in ITS. BP neural network is universally used in prediction of crossroads' traffic volume. This research aimed at using double-layers BP neural network to predict the traffic volume of Lishan Crossroad Jinan City. Results of the computer simulation showed that the method was applicable, the average relative tolerance was 9.71%. The doble-layers BP neural network can be used for prediction of crossroads' traffic volume.
Portrait and Candid Photography: Photo Workshop
Authors: Erin Manning
Venue:  (2007)

The secret to taking great people pictures is to observe your subjects, connect with them, and use your camera to its best advantage. Heres how to work with lighting, location, angle, composition, physical characteristics, environment, and countless other variables, including the unique challenges of photographing babies, group activities, and action. Learn to capture facial expressions, tell a story with a series of candids, add interest to large-group shots, and more. Apply these techniques and watch your subjects come to life. 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
Development of a mediation tool in Family Law: AssetDivider
Authors: Emilia Bellucci
Venue: Proceeding of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference (2008)

This article describes research in developing a new theory of decision support in negotiation in family law mediation. AssetDivider was based on the principles of Family_Winner. As a Negotiation Decision Support System Family_Winner take ratings assigned to items by the parties involved and develops a list of allocations to each party; based on trade-offs inherently present in the dispute. Given advice provided from our industry partners Relationships Australia (Queensland) --RAQ, AssetDivider uses an ideal “percentage split” to guide the development of an allocation list for parties. The system has been tested informally by our contacts at RAQ, and we now look forward to extensive testing and evaluation by mediators at RAQ in the near future. We expect observations and comments made by mediators evaluating the system to indicate future developments, in particular in developing new research into emotionally intelligent NDSS.
Testing the APT with the Maximum Sharpe Ratio of Extracted Factors
Authors: Chu Zhang
Venue: Management Science (2009)

This paper develops a test of the asymptotic arbitrage pricing theory (APT) via the maximum squared Sharpe ratio of the factors extracted from individual stocks using the Connor-Korajczyk method. The test treats the beta pricing relation as approximate without predetermining the systematic factors, unlike the existing tests that take the relationship as exact and systematic factors as given. This paper also examines the magnitude of pricing errors bounded partly by the maximum squared Sharpe ratio. For most 60-month subperiods of the sample, the hypothesis that the maximum squared Sharpe ratio for monthly returns is greater than 0.25 can be rejected. Simulation indicates that the average pricing error in monthly returns is less than 0.001. These results support the asymptotic APT.
A Framework for Blending Agent Oriented Methodologies
Authors: Xue Xiao, Dai Dan, Xiang Lizhi
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

While multi-agent systems seem to provide a good basis to build complex control system, the variety of agent-oriented(AO) methodologies may become a problem for developer when it comes to select the best-suited methodology for a given application domain. To resolve the difficulties in the construction of C4I system on naval ship, we demonstrate a development architecture to blend various AO methodologies, which will pave the way for an unified and general AO methodology. Based on the architecture, a solution is proposed by combing two classes representative AO methodologies: Gaia method (general agent oriented method) and MaSE method (object-oriented extended method), which can provide straightforward connections between AO analysis results and OO software implementation.
Boxed Pervasive Games: An Experience with User-Created Pervasive Games
Authors: Richard Wetzel, Annika Waern, Staffan Jonsson, Irma Lindt, Peter Ljungstrand, Karl-Petter Åkesson
Venue: Proceedings of the 7th International Conference on Pervasive Computing (2009)

Pervasive games are rapidly maturing - from early research experiments with locative games we now start to see a range of commercial projects using locative and pervasive technology to create technology-supported pervasive games. In this paper we report on our experiences in transferring the successful involvement of players in computer games to `modding' for pervasive games. We present the design process, the enabling tools and two sample games provided in boxes to end users. Finally we discuss how our findings inform the design of `modding' tools for a pervasive game community of the future.
Optimizing Causal Link Based Web Service Composition
Authors: Freddy Lécué, Alexandre Delteil, Alain Léger
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

Automation of Web service composition is one of the most interesting challenges facing the Semantic Web today. Since Web services have been enhanced with formal semantic descriptions, it becomes conceivable to exploit causal links i.e., semantic matching between their functional parameters (i.e., outputs and inputs). The semantic quality of causal links involved in a composition can be then used as a innovative and distinguishing criterion to estimate its overall semantic quality. Therefore non functional criteria such as quality of service (QoS) are no longer considered as the only criteria to rank compositions satisfying the same goal. In this paper we focus on semantic quality of causal link based semantic Web service composition. First of all, we present a general and extensible model to evaluate quality of both elementary and composition of causal links. From this, we introduce a global causal link selection based approach to retrieve the optimal composition. This problem is formulated as an optimization problem which is solved using efficient integer linear programming methods. The preliminary evaluation results showed that our global selection based approach is not only more suitable than the local approach but also outperforms the naive approach.
Embedding new data points for manifold learning via coordinate propagation
Authors: Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang
Venue: Knowledge and Information Systems (2009)

In recent years, a series of manifold learning algorithms have been proposed for nonlinear dimensionality reduction. Most of them can run in a batch mode for a set of given data points, but lack a mechanism to deal with new data points. Here we propose an extension approach, i.e., mapping new data points into the previously learned manifold. The core idea of our approach is to propagate the known coordinates to each of the new data points. We first formulate this task as a quadratic programming, and then develop an iterative algorithm for coordinate propagation. Tangent space projection and smooth splines are used to yield an initial coordinate for each new data point, according to their local geometrical relations. Experimental results and applications to camera direction estimation and face pose estimation illustrate the validity of our approach.
EnTag: enhancing social tagging for discovery
Authors: Koraljka Golub, Jim Moon, Douglas Tudhope, Catherine Jones, Brian Matthews, BartBomiej PuzoD, Marianne Lykke Nielsen
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

The EnTag (Enhanced Tagging for Discovery) project investigated the effect on indexing and retrieval when using only social tagging versus when using social tagging in combination with suggestions from a controlled vocabulary. Two different contexts were explored: tagging by readers of a digital collection and tagging by authors in an institutional repository; also two different controlled vocabularies were examined, Dewey Decimal Classification and ACM Computing Classification Scheme. For each context a separate demonstrator was developed and a user study conducted. The results showed the importance of controlled vocabulary suggestions for both indexing and retrieval: to help produce ideas of tags to use, to make it easier to find focus for the tagging, as well as to ensure consistency and increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both in terms of conceptual relevance to the user and in appropriateness of the terminology. The participants themselves could also see the advantages of controlled vocabulary terms for retrieval if the terms used were from an authoritative source.
Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine
Authors: Adrianto Wirawan, Bertil Schmidt, Chee Keong Kwoh
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Multiple sequence alignment is an important tool in bioinformatics. Although efficient heuristic algorithms exist for this problem, the exponential growth of biological data demands an even higher throughput. The recent emergence of accelerator technologies has made it possible to achieve a highly improved execution time for many bioinformatics applications compared to general-purpose platforms. In this paper, we demonstrate how the PlayStation®3, powered by the Cell Broadband Engine, can be used as a computational platform to accelerate the distance matrix computation utilized in multiple sequence alignment algorithms.
Extracting protein-protein interactions using simple contextual features
Authors: Leif Arda Nielsen
Venue: Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis (2006)

There has been much interest in recent years on the topic of extracting Protein-Protein Interaction (PPI) information automatically from scientific publications. This is due to the need that has emerged to organise the large body of literature that is generated through research, and collected at sites such as PubMed. Easy access to the information contained in published work is vital for facilitating new research, but the rate of publication makes manual collection of all such data unfeasible. Information Extraction approaches based on Natural Language Processing can be, and are already being used, to facilitate this process.
Picture Yourself Learning Mac OS X 10.5 Leopard, 1st edition
Authors: David W. Boles
Venue:  (2007)

You've just purchased and installed Mac OS X 10.5 Leopard and you're ready to unleash all of the newest features of this powerful yet fun operating system! "Picture Yourself Learning Mac OS X 10.5 Leopard" shows you how to effectively utilize all the components of the latest version of the Mac operating system using clear step-by-step instructions, helpful tips, and full-color screenshots. You'll begin by getting familiar with the basic Mac OS X Leopard concepts including cool, new desktop features like how to use Finder to manage your files, and utilizing Quick Look to view your document and image files. As you get the hang of Mac OS X Leopard youll get organized with iCal, better manage your email with Mail 3.0, and even create widgets with the Safari web browser. After that you'll discover how to maximize your multimedia experience with iChat, Photo Booth, and Front Row, creating a multimedia system right on your Mac desktop! The book also covers important parental controls,how to back up and archive your data, and tips for keeping your computers operating system running smoothly. "Picture Yourself Learning Mac OS X 10.5 Leopard" shows computing beginners how to make the most of their Leopard experience. 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
iPhoto 08 for Mac OS X: Visual QuickStart Guide, 1st edition
Authors: Adam Engst
Venue:  (2007)

Visual QuickStart Guidethe quick and easy way to learn! With iPhoto '08 for Mac OS X: Visual QuickStart Guide, readers can start from the beginning to get a tour of the applications, or look up specific tasks to learn just what they need to know. This task-based, visual guide uses step-by-step instructions and hundreds of full-color screenshots to teach beginning and intermediate users how to make the most out of their digital photos with iPhoto '08. Perfect for anyone who needs to learn the program inside out, this guide covers everything from importing, tagging, editing, and perfecting images to creating slideshows and photo albums to easy online Web publishing. Readers will learn about everything new in iPhoto '08, including automatically organizing photos by event; new editing tools that allow the user to paste a set of adjustments from one photo into another; creating new hardcover photo books, large-font calendars, and more; sharing photos via the .Mac Web Gallery; printing high-quality, frame-worthy photos with colored textures, borders, and mattes; and much more.
ORDEN: outlier region detection and exploration in sensor networks
Authors: Conny Franke, Michael Gertz
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key feature users are often interested in when employing such systems is the detection of unusual phenomena, that is, anomalous values measured by the sensors. In this demonstration, we present a system, called ORDEN, that allows for the detection and (visual) exploration of outliers and anomalous events in sensor networks in real-time. In particular, the system constructs outlier regions from anomalous sensor measurements to provide for a comprehensive description of the spatial extent of phenomena of interest. With our system, users can interactively explore displayed outlier regions and investigate the heterogeneity within individual regions using different parameter and threshold settings. Using real-world sensor data streams from different application domains, we demonstrate the effectiveness and utility of our system.
The effects of parameter variation on the gaits of passive walking models: Simulations and experiments
Authors: Liu Ning, Li Junfeng, Wang Tianshu
Venue: Robotica (2009)

We have made a systematic study of the gait of a straight leg planar passive walking model through simulations and experiments. Three normalised parameters, which represent the foot radius, the position of the mass centre and the moment of inertia, are used to characterise the walking model. In the simulation, we have obtained the fixed points and the basins of attraction of the walking models with different parameter combinations by the aid of the cell mapping method. With the results of fixed points, we investigated the effects of parameter variations on the gait descriptors, including step length, period, average speed and energy inefficiency. A model that has a large basin of attraction has been obtained, and it can start walking far from its fixed point. However, the size of the basin of attraction is not a good measurement of robustness. Thus, we proposed floors with random slope angles or stairs with random heights to test robustness. Five hundred times of simulations with 100 non-dimensional time units were implemented for each parameter combination. The times that the walker failed to arrive at the end were recorded. The simulation results showed that the model with a larger foot radius and higher position of mass centre has a lower possibility of falling on uneven floors. A large moment of inertia is helpful for walking on a random slope angle floor, while low values of moment of inertia are good for navigating random stairs. Prototype experiments have validated the simulation results, which showed that models with larger feet have a longer step length and high speed. However, period differences were difficult to obtain in the experiments since the differences were very small. We have tested the sensitivity with the initial conditions of the models with different foot radii on a flat floor, and have also tested the robustness of the models on a floor with random slope angles. The times that the model reached the end of the floor were recorded. The experimental results showed that a large foot radius is good for improving the basin of attraction and robustness on uneven floors. Finally, the exceptions of the experiment are explained.
Engineering Design with SolidWorks 2008 & MultiMedia CD
Authors: David C. Planchard, Marie P. Planchard
Venue:  (2007)

This text focuses on providing a solid foundation in SolidWorks along with a competency based project approach. Commands are introduced in a step-by-step manner. Each chapter addresses a progressive learning approach, lists desired outcomes and usage competencies, and identifies a project with reflective information on the previous project situation. The book complements the on-line tutorials contained within SolidWorks. Engineering Design with SolidWorks covers parts, assemblies and drawings. The part section covers all the major solid features in SolidWorks. There are 3 assemblies. The first assembly, GUIDE-ROD utilizes industry components and simple extruded parts. Individual part drawings and assembly drawings with Bill of Materials are developed for the GUIDE-ROD assembly. The FLASHLIGHT assembly utilizes 8 parts made up of Extrude, Revolve, Sweep and Loft features. The parts are combined into small subassemblies and the final FLASHLIGHT assembly. The BOX assembly utilizes a top down assembly modeling approach with layout sketches and parts developed in context. The BOX works through sheet metal features and introduces design tables and configurations. This edition covers enhancements to the User Interface section, Design Intent area and Sheet Metal features. The Multimedia CD includes 4 hours of movie files, 1/2 hour on individual feature tips and creation. This book focuses on machined, plastic and sheet metal parts, assemblies and drawings. Included in this book are activity layouts to distinguish step-by-step instructions in the text. This book contains instructions utilizing Mold Tools to modify plastic parts and to develop a cavity mold for the Batteryplate part. There are also flash movies for Mold Tools and MoldflowXpress on the MultiMedia CD. Separate editions of this textbook are available for SolidWorks 99, 2000, 2001, 2001Plus, 2003, 2004, 2005, 2006, 2007, and 2008. Table of Contents Introduction 1. Fundamentals of Part Modeling 2. Fundamentals of Assembly Modeling 3. Fundamentals of Drawing 4. Extrude and Revolve Features 5. Swept and Loft and Additional Features 6. Top Down Assembly Modeling Appendix Index