ppxscal/embedding_network huggingface dataset:
AutoCAD LT 2008 for Designers
Authors: Sham Tickoo
Venue:  (2007)

The AutoCAD LT 2008 for Designers textbook explores the latest tools and techniques of AutoCAD LT 2008 covering all draw commands and options, as well as editing, annotating, dimensioning, hatching, and plotting techniques. Updated to the latest release of AutoCAD LT, the textbook enables professionals to create and share design information, faster than ever. The textbook takes the user across a wide spectrum of engineering solutions through progressive examples, comprehensive illustrations, and detailed exercises, thereby making it an ideal guide for both the novice and the advanced users. Salient Features of the TextbookConsists of 14 chapters that are organized in a pedagogical sequence covering changes and enhancements specific to AutoCAD LT 2008. The first page of every chapter summarizes the topics that will be covered in it. Every topic begins with a command section that provides brief information of the AutoCAD LT 2008 commands, dashboard, toolbars, palettes, and shortcut menus. Real-world projects and examples focusing on industry experience. Step-by-step examples that guide the user through the learning process. Additional information is provided throughout the book in the form of tips and notes. Self-Evaluation test and review questions are provided at the end of each chapter so that the users can assess their knowledge.Free Teaching and Learning ResourcesTechnical support by contacting techsupport@cadcim.com. Drawing files of the models used in illustrations, examples, and exercises.Customizable PowerPoint presentations for every chapter in this textbook.Instructor s guide that provides solutions to review questions and exercises provided in the textbook.Four additional chapters covering the enhanced features of AutoCAD LT 2008.Student projects to enhance the skills.Course outline listing the topics that will be covered in the basic and advanced classes.
Uniqueness of positive solutions for semilinear Neumann problems in a half space
Authors: Chenghua Dang, Wei Dong
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

In this paper, we consider positive solutions of the following boundary Neumann problem in half space -Δu = a(x)u - b(x)uq x∈T, ∂u/∂n=0, on ∂T, Where T = {x = (x1,x2,....xN):xN >0}, (N≥2), q is a constant greater than 1, a(x) and b(x) are continuous functions with b(x) positive on RN and n is outward pointing unit normal vector of ∂T. Under suitable conditions, we show that this problem has only one positive solution.
A graphical realization of the dynamic programming method for solving NP-hard combinatorial problems
Authors: Alexander A. Lazarev, Frank Werner
Venue: Computers Mathematics with Applications (2009)

In this paper, we consider a graphical realization of dynamic programming. The concept is discussed on the partition and knapsack problems. In contrast to dynamic programming, the new algorithm can also treat problems with non-integer data without necessary transformations of the corresponding problem. We compare the proposed method with existing algorithms for these problems on small-size instances of the partition problem with n@?10 numbers. For almost all instances, the new algorithm considers on average substantially less ''stages'' than the dynamic programming algorithm.
DIOGENE: A service Oriented Virtual Organisation for e-Learning
Authors: Matteo Gaeta, Nicola Capuano, Angelo Gaeta, Francesco Orciuoli, Laura Pappacena, Pierluigi Ritrovato
Venue: Proceeding of the 2005 conference on Towards the Learning Grid: Advances in Human Learning Services (2005)

In this paper we present the main results of the DIOGENE project where the characteristics of Virtual Organisations providing learning services have been identified and implemented using state of the art Web Services technologies. We also present a possible migration path towards the Grid emphasising the advantages stemming from the adoption of this technology.
Advanced online learning for natural language processing
Authors: Koby Crammer
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Tutorial Abstracts (2008)

Most research in machine learning has been focused on binary classification, in which the learned classifier outputs one of two possible answers. Important fundamental questions can be analyzed in terms of binary classification, but real-world natural language processing problems often involve richer output spaces. In this tutorial, we will focus on classifiers with a large number of possible outputs with interesting structure. Notable examples include information retrieval, part-of-speech tagging, NP chucking, parsing, entity extraction, and phoneme recognition.
Visualizing analysis for weld line forming in micro injection molding by experimental method
Authors: Lei Xie, Gerhard Ziegmann
Venue: Microsystem Technologies (2009)

In micro injection molding, the melt flow behavior is important for the final product quality. However, the current process monitoring and measurement technology are not adequate enough to provide a direct analysis access. In the presented study, a glass insert mold designed for performing the direct visual analysis for melt flow phenomena in micro injection molding is introduced. The micro tensile specimen with 0.1&#x00a0;&#x00d7;&#x00a0;0.4&#x00a0;mm2 (depth&#x00a0;&#x00d7;&#x00a0;width) cross section dimension is chosen as the objective part. The correlation between processing parameters (injection pressure, injection speed, mold temperature) and flow behavior was investigated and analyzed. The results show that the injection pressure put an obvious effect on the filling speed through micro cavity. Injection speed can influence the filling time dramatically also. Higher mold temperature brings positive influence with the flowing speed, due to the lower viscosity of polymers in higher mold temperature.
Integrating usability engineering and software engineering in mixed reality system development
Authors: Volker Paelke, Karsten Nebe
Venue: Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering (2009)

The integration of user centred design activities into software engineering processes is a challenge. This is especially true for next-generation user interfaces that employ interface paradigms like mixed reality. Guidance for designers and developers has to address the integration of software engineering and user centred design on all levels from abstract standards to operational development. We analyze standards in software engineering and usability engineering and derive recommendations for integrated development processes. To support developers we propose the MVCE architecture as an extension of the common model-view-controller pattern to address the specific requirements of mixed reality interfaces through an additional environment component.
Information dynamics: patterns of expectation and surprise in the perception of music
Authors: Samer Abdallah, Mark Plumbley
Venue: Connection Science (2009)

Measures such as entropy and mutual information can be used to characterise random processes. In this paper, we propose the use of several time-varying information measures, computed in the context of a probabilistic model that evolves as a sample of the process unfolds, as a way to characterise temporal structure in music. One such measure is a novel predictive information rate which we conjecture may provide a conceptually simple explanation for the 'inverted-U' relationship often found between simple measures of randomness (e.g. entropy rate) and judgements of aesthetic value [Berlyne, D.E. (1971), Aesthetics and Psychobiology, New York: Appleton Century Crofts.]. We explore these ideas in the context of Markov chains using both artificially generated sequences and two pieces of minimalist music by Philip Glass, showing that even such a manifestly simplistic model (the Markov chain), when interpreted according to information dynamic principles, produces a structural analysis which largely agrees with that of an expert human listener. Thus, we propose that our approach could form the basis of a theoretically coherent yet computationally plausible model of human perception of formal structure, potentially including seemingly abstract qualities like interestingness and aesthetic goodness.
Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework
Authors: Huicheng Zheng, Wei Shen, Qionghai Dai, Sanqing Hu, Zhe-Ming Lu
Venue: Neurocomputing (2009)

This paper presents a neural model which learns low-dimensional nonlinear manifolds embedded in higher-dimensional data space based on mixtures of local linear manifolds under a self-organizing framework. Compared to other similar networks, the local linear manifolds learned by our network have a more localized representation of local data distributions thanks to a new distortion measure, which removes confusion between sub-models that exists in many similar mixture models. Each neuron in the network asymptotically learns a mean vector and a principal subspace of the data in its local region. It is proved that there is no local extremum for each sub-model. Experiments show that the new mixture model is better adapted to nonlinear manifolds of various data distributions than other similar models. The online-learning property of this model is desirable when the data set is very large, when computational efficiency is of paramount importance, or when data are sequentially input. We further show an application of this model to recognition of handwritten digit images based on mixtures of local linear manifolds.
A B-Tree index extension to enhance response time and the life cycle of flash memory
Authors: Hongchan Roh, Woo-Cheol Kim, Seungwoo Kim, Sanghyun Park
Venue: Information Sciences: an International Journal (2009)

Flash memory has critical drawbacks such as long latency of its write operation and a short life cycle. In order to overcome these limitations, the number of write operations to flash memory devices needs to be minimized. The B-Tree index structure, which is a popular hard disk based index structure, requires an excessive number of write operations when updating it to flash memory. To address this, it was proposed that another layer that emulates a B-Tree be placed between the flash memory and B-Tree indexes. This approach succeeded in reducing the write operation count, but it greatly increased search time and main memory usage. This paper proposes a B-Tree index extension that reduces both the write count and search time with limited main memory usage. First, we designed a buffer that accumulates update requests per leaf node and then simultaneously processes the update requests of the leaf node carrying the largest number of requests. Second, a type of header information was written on each leaf node. Finally, we made the index automatically control each leaf node size. Through experiments, the proposed index structure resulted in a significantly lower write count and a greatly decreased search time with less main memory usage, than placing a layer that emulates a B-Tree.
Integrated Radial Basis Function Networks with Adaptive Residual Subsampling Training Method for Approximation and Solving PDEs
Authors: Hong Chen, Li Kong
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II (2009)

This paper proposes a method for approximation and solving PDEs, based on integrated radial basis function networks (IRBFNs) with adaptive residual subsampling training algorithm. The Multiquadratic function is chosen as the transfer function of the neurons. The effectiveness of the method is demonstrated in numerical examples by approximating several functions and solving Burgers' equation. The result of numerical experiments shows that the IRBFNs with the proposed adaptive procedure requires less neurons to attain the accuracy than direct radial basis function (DRBF) network.
Model-Based Verification of Embedded Software
Authors: Hesham Shokry, Mike Hinchey
Venue: Computer (2009)

Current advances in model-based develop- ment technology indicate that embedded- software developers can expect more tool support for the whole embedded-software spectrum, from applications to system software.
An Approach to Software Design Reuse Using Case-Based Reasoning and WordNet
Authors: Paulo Gomes, Nuno Seco, Francisco C. Pereira, Paulo Paiva, Paulo Carreiro, José Ferreira, Carlos Bento
Venue: Proceeding of the 2006 conference on Integrated Intelligent Systems for Engineering Design (2006)

Reusing the knowledge gathered in the design phase of software development is an important issue for any software company. It enables software developers to work faster and make fewer mistakes, which decreases the development time due to the increased efficiency of the development team. In order to accomplish design knowledge reuse, we have developed an intelligent CASE tool that supports software design. Our system uses Case-Based Reasoning and WordNet, providing a framework for storage and reuse of design knowledge. This chapter presents our approach, which exploits a knowledge base and several reasoning mechanisms that reuse the stored knowledge.
Air-dropped sensor network for real-time high-fidelity volcano monitoring
Authors: Wen-Zhan Song, Renjie Huang, Mingsen Xu, Andy Ma, Behrooz Shirazi, Richard LaHusen
Venue: Proceedings of the 7th international conference on Mobile systems, applications, and services (2009)

This paper presents the design and deployment experience of an air-dropped wireless sensor network for volcano hazard monitoring. The deployment of five stations into the rugged crater of Mount St. Helens only took one hour with a helicopter. The stations communicate with each other through an amplified 802.15.4 radio and establish a self-forming and self-healing multi-hop wireless network. The distance between stations is up to 2 km. Each sensor station collects and delivers real-time continuous seismic, infrasonic, lightning, GPS raw data to a gateway. The main contribution of this paper is the design and evaluation of a robust sensor network to replace data loggers and provide real-time long-term volcano monitoring. The system supports UTC-time synchronized data acquisition with 1ms accuracy, and is online configurable. It has been tested in the lab environment, the outdoor campus and the volcano crater. Despite the heavy rain, snow, and ice as well as gusts exceeding 120 miles per hour, the sensor network has achieved a remarkable packet delivery ratio above 99% with an overall system uptime of about 93.8% over the 1.5 months evaluation period after deployment. Our initial deployment experiences with the system have alleviated the doubts of domain scientists and prove to them that a low-cost sensor network system can support real-time monitoring in extremely harsh environments.
Social capital, social network and identity bonds: a reconceptualization
Authors: Hao Jiang, John M. Carroll
Venue: Proceedings of the fourth international conference on Communities and technologies (2009)

We argue that along with social network analysis, or approaches focusing on social ties and social networks, researchers in information science can also benefit from looking at the identity bonding perspective. In this paper, by synthetic and critical reviewing literature on related work from sociology and information science, we provide a new theoretical lens that calls attention to the role played by social identity in creating and increasing social capital.
Frequency-dependent noise analysis and damping in MEMS
Authors: Mrigank Sharma, Edmond Cretu
Venue: Microsystem Technologies (2009)

The paper presents a combined noise and damping analysis for MEMS structures, based on frequency-dependent behavioral models extracted from finite element simulations. The design of high sensitivity MEMS-based microsystems needs to consider the frequency noise shaping induced by damping phenomena on micro scale motion, for its contribution can be significant in the system level noise analysis. Frequency-dependent behavioral models for squeeze-film damping are generated from finite element analysis simulations. Unlike existing noise analysis reported in literature, based on frequency-independent damping assumption, the paper integrates the damping and noise aspects using the same frequency-dependent models. The results can be used for a noise-based optimization procedure applied to the design of resonating microsensors, as illustrated for the case of a MEMS-based gyroscope.
Finding centuries-old hyperlinks with a novel semi-supervised learning technique
Authors: Xiaoyue Wang, Eamonn Keogh
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

Hyperlinks are so useful for searching and browsing modern digital collections that researchers have longer wondered if it is possi-ble to retroactively add hyperlinks to digitized historical documents. There has already been significant research into this endeavor for historical text; however, in this work we consider the problem of adding hyperlinks among graphic elements. While such a system would not have the ubiquitous utility of text-based hyperlinks, there are several domains where it can potentially significantly augment textual information.
The History of Information Security: A Comprehensive Handbook
Authors: Karl Maria, Michael de Leeuw
Venue:  (2007)

Information Security is usually achieved through a mix of technical, organizational and legal measures. These may include the application of cryptography, the hierarchical modeling of organizations in order to assure confidentiality, or the distribution of accountability and responsibility by law, among interested parties. The history of Information Security reaches back to ancient times and starts with the emergence of bureaucracy in administration and warfare. Some aspects, such as the interception of encrypted messages during World War II, have attracted huge attention, whereas other aspects have remained largely uncovered. There has never been any effort to write a comprehensive history. This is most unfortunate, because Information Security should be perceived as a set of communicating vessels, where technical innovations can make existing legal or organisational frame-works obsolete and a breakdown of political authority may cause an exclusive reliance on technical means.This book is intended as a first field-survey. It consists of twenty-eight contributions, written by experts in such diverse fields as computer science, law, or history and political science, dealing with episodes, organisations and technical developments that may considered to be exemplary or have played a key role in the development of this field.These include: the emergence of cryptology as a discipline during the Renaissance, the Black Chambers in 18th century Europe, the breaking of German military codes during World War II, the histories of the NSA and its Soviet counterparts and contemporary cryptology. Other subjects are: computer security standards, viruses and worms on the Internet, computer transparency and free software, computer crime, export regulations for encryption software and the privacy debate. - Interdisciplinary coverage of the history Information Security- Written by top experts in law, history, computer and information science- First comprehensive work in Information Security
Awareness-Based Learning Model to Improve Cooperation in Collaborative Distributed Environments
Authors: Mauricio Paletta, Pilar Herrero
Venue: Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (2009)

In the great family of distributed applications, collaborative systems are distinguished by the fact that users, usually agents, are working together to fulfill a common goal. Therefore they have a critical need to interact closely with each other through: information exchange, sharing of applications, control of some over others, and sharing computer resources, among others. However, the success of achieving the common goal depends on the implementation of appropriate collaborations in these dynamic distributed environments. But proper collaborations also depend on several factors that have to do, mainly, with the way in which the environment is at any given time, as well as provide answers to questions like: "With whom it must collaborate?" "Who should collaborate?" On the other hand, awareness is a process where users recognize each other's activities with the promise of co-presence, for example, "What are they doing?", "Where are they?" This paper describes a learning model for collaborative distributed environments that takes into account the experience of awareness collaborations occurring in the environment for achieving the most appropriate future awareness situations.
Subtle gaze direction
Authors: Reynold Bailey, Ann McNamara, Nisha Sudarsanam, Cindy Grimm
Venue: ACM Transactions on Graphics (TOG) (2009)

This article presents a novel technique that combines eye-tracking with subtle image-space modulation to direct a viewer's gaze about a digital image. We call this paradigm subtle gaze direction. Subtle gaze direction exploits the fact that our peripheral vision has very poor acuity compared to our foveal vision. By presenting brief, subtle modulations to the peripheral regions of the field of view, the technique presented here draws the viewer's foveal vision to the modulated region. Additionally, by monitoring saccadic velocity and exploiting the visual phenomenon of saccadic masking, modulation is automatically terminated before the viewer's foveal vision enters the modulated region. Hence, the viewer is never actually allowed to scrutinize the stimuli that attracted her gaze. This new subtle gaze directing technique has potential application in many areas including large scale display systems, perceptually adaptive rendering, and complex visual search tasks.
Identifying the Most Endangered Objects from Spatial Datasets
Authors: Hua Lu, Man Lung Yiu
Venue: Proceedings of the 21st International Conference on Scientific and Statistical Database Management (2009)

Real-life spatial objects are usually described by their geographic locations (e.g., longitude and latitude), and multiple quality attributes. Conventionally, spatial data are queried by two orthogonal aspects: spatial queries involve geographic locations only; skyline queries are used to retrieve those objects that are not dominated by others on all quality attributes. Specifically, an object p i is said to dominate another object p j if p i is no worse than p j on all quality attributes and better than p j on at least one quality attribute. In this paper, we study a novel query that combines both aspects meaningfully. Given two spatial datasets P and S, and a neighborhood distance ¿, the most endangered object query (MEO) returns the object s ¿ S such that within the distance ¿ from s, the number of objects in P that dominate s is maximized. MEO queries appropriately capture the needs that neither spatial queries nor skyline queries alone have addressed. They have various practical applications such as business planning, online war games, and wild animal protection. Nevertheless, the processing of MEO queries is challenging and it cannot be efficiently evaluated by existing solutions. Motivated by this, we propose several algorithms for processing MEO queries, which can be applied in different scenarios where different indexes are available on spatial datasets. Extensive experimental results on both synthetic and real datasets show that our proposed advanced spatial join solution achieves the best performance and it is scalable to large datasets.