ppxscal/embedding_network huggingface dataset:
Considering User Knowledge in the Evaluation of Training System Usability
Authors: Clint Bowers, Jan Cannon-Bowers, Talib Hussain
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

A variety of software-based systems are being used as training media. There is not, however, an accepted approach to evaluating the usability of these systems. Traditional usability approaches can be employed with some effectiveness, but they may lack appropriate specificity for use in training. In this paper, we evaluate whether assessing, and remediating, gaps in learner knowledge might be an important addition to training system evaluation. The results suggest that remediating knowledge gaps might lead to more accurate usability conclusions.
Building Service-Oriented User Agents Using a Software Product Line Approach
Authors: Ingrid Nunes, Carlos J. Lucena, Donald Cowan, Paulo Alencar
Venue: Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering (2009)

This paper presents an approach to develop service-oriented user agents using the Software Product LineSPL engineering paradigm. The approach comprises activities and models to support building service-oriented customized agents that automate user tasks based on service orchestration involving multiple agents in open environments, and takes advantage of the synergy of Service-oriented ArchitectureSOA, Multi-agent SystemMAS and Software Product LineSPL. The domain-based process involves extended domain analysis with goals and variability, domain design with the specification of agent services and plans, and domain implementation.
Usability Evaluation of Graphic Design for Ilmu's Interface
Authors: Tengku Siti Wook, Siti Salwa Salim
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Graphic design is fundamental to Ilmu's interface (i.e. WebOPAC for children) and is the focus of this study. A usability evaluation is carried out for the new prototype of Ilmu's interface which gives the emphasis to the components of graphic design. Questionnaire and observation methods are used to accumulate the usability data. The usability of Ilmu's new interface is shown to be significantly better through t-testing, and statistical testing using chi square (¿ 2 ).
A Study on a Method of Support for Improving the Motivation of Employees
Authors: Daisuke Yatsuzuka, Yumiko Taguchi, Tsutomu Tabe
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

The purpose of this study is to clarify a method for generating a "priority order for improvement" and "specific ideas for improvement" to support the improvement of the motivation of employees, and to verify the effectiveness of the method by a questionnaire given to employees of an actual company.
Depth-of-field rendering with multiview synthesis
Authors: Sungkil Lee, Elmar Eisemann, Hans-Peter Seidel
Venue: ACM Transactions on Graphics (TOG) (2009)

We present a GPU-based real-time rendering method that simulates high-quality depth-of-field effects, similar in quality to multiview accumulation methods. Most real-time approaches have difficulties to obtain good approximations of visibility and view-dependent shading due to the use of a single view image. Our method also avoids the multiple rendering of a scene, but can approximate different views by relying on a layered image-based scene representation. We present several performance and quality improvements, such as early culling, approximate cone tracing, and jittered sampling. Our method achieves artifact-free results for complex scenes and reasonable depth-of-field blur in real time.
OPTIMOL: a framework for online picture collection via incremental model learning
Authors: Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

OPTIMOL (a framework for Online Picture collection via Incremental MOdel Learning) is a novel, automatic dataset collecting and model learning system for object categorization. Our algorithm mimics the human learning process in such a way that, starting from a few training examples, the more confident data you incorporate in the training data, the more reliahle models can be learnt. Our system uses the Internet as the (nearly) unlimited resource for images. The learning and image collection processes are done via an iterative and incremental scheme. The goal of this work is to use this tremendous web resource to learn robust object category models in order to detect and search for objects in real-world scenes.
Webcam clip art: appearance and illuminant transfer from time-lapse sequences
Authors: Jean-François Lalonde, Alexei A. Efros, Srinivasa G. Narasimhan
Venue: ACM SIGGRAPH Asia 2009 papers (2009)

Webcams placed all over the world observe and record the visual appearance of a variety of outdoor scenes over long periods of time. The recorded time-lapse image sequences cover a wide range of illumination and weather conditions -- a vast untapped resource for creating visual realism. In this work, we propose to use a large repository of webcams as a "clip art" library from which users may transfer scene appearance (objects, scene backdrops, outdoor illumination) into their own time-lapse sequences or even single photographs. The goal is to combine the recent ideas from data-driven appearance transfer techniques with a general and theoretically-grounded physically-based illumination model. To accomplish this, the paper presents three main research contributions: 1) a new, high-quality outdoor webcam database that has been calibrated radiometrically and geometrically; 2) a novel approach for matching illuminations across different scenes based on the estimation of the properties of natural illuminants (sun, sky, weather and clouds), the camera geometry, and illumination-dependent scene features; 3) a new algorithm for generating physically plausible high dynamic range environment maps for each frame in a webcam sequence.
Precision manufacturing of key components for an ultra miniature gas turbine unit for power generation
Authors: Kun Liu, Tobias Waumans, Jan Peirs, Dominiek Reynaerts
Venue: Microsystem Technologies (2009)

Advanced and precise manufacturing is presented for two key components: a compressor and a turbine impeller (&#x00d8; 20&#x00a0;mm) for an ultra miniature gas turbine system as fuel-based power generation system. The total system fits in a cylinder with a diameter of 110&#x00a0;mm and a length of 120&#x00a0;mm. At this scale, major components such as turbine and compressor are subjected to challenging requirements such as high rotational speed (500,000&#x00a0;rpm), high turbine inlet temperature (1,200&#x00a0;K) and efficiency. The choices of material and manufacturing technique are critical. The components must endure the operational requirements and should be fabricated in high accuracy. In order to withstand the high centrifugal stress, a high-strength titanium alloy is used for the compressor. Using micro-milling, a three-dimensional complex and accurate structure is obtained. The turbine is made of a Si3N4&#x2013;TiN ceramic composite to sustain the combination of elevated stress and temperature. A scrupulously developed process chain combines electrical discharge machining and grinding as manufacturing processes, which not only just preserve the surface integrity and the related material strength but also provide an adequate dimensional and geometrical accuracy.
The optimality conditions for optimization problems with convex constraints and multiple fuzzy-valued objective functions
Authors: Hsien-Chung Wu
Venue: Fuzzy Optimization and Decision Making (2009)

The optimality conditions for multiobjective programming problems with fuzzy-valued objective functions are derived in this paper. The solution concepts for these kinds of problems will follow the concept of nondominated solution adopted in the multiobjective programming problems. In order to consider the differentiation of fuzzy-valued functions, we invoke the Hausdorff metric to define the distance between two fuzzy numbers and the Hukuhara difference to define the difference of two fuzzy numbers. Under these settings, the optimality conditions for obtaining the (strongly, weakly) Pareto optimal solutions are elicited naturally by introducing the Lagrange multipliers.
Nonparametric density estimation of streaming data using orthogonal series
Authors: Kyle A. Caudle, Edward Wegman
Venue: Computational Statistics Data Analysis (2009)

Streaming data represent a serious challenge because implicit in the nature of streaming data, data are not exchangeable and are not storable. This means data must be processed on the fly. Density estimation is an essential tool used to make sense of data collected by large scale systems. In this paper, we present a recursive method for constructing and updating an estimate of the nonstationary probability density function. Our approach is shown to work well with simulated data as well as with real data.
An Empirical Study on the Relationship between Entrepreneur's Traits and Entrepreneurial Success
Authors: Baoshan Ge, Kan Wang, Baobao Dong
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Nowadays the researches on entrepreneurship have become more and more mature, and the Entrepreneur’s Traits have received lots of attention from scholars. This paper empirically studied the relationship between Entrepreneur’s traits and entrepreneurial success using structural equation model based on 153 valid surveys. The result showed that innovativeness, locus of control, risk-taking and need for achievement are all positively associated with entrepreneurial success. Then we discussed the empirical results. Finally, we made a conclusion and discussed the limitations and pointed out possible research direction in the future.
A Study on the Status, Problems and Its Countermeasures of Soil Erosion in Hubei Province, China
Authors: Wei Liao, Tie-Ping Yan, Yi-Jin Wu, Ndakeva Helena, Xu-Ying Yuan
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

This paper studies the present state of water and soil loss in the Hubei province. Chinese scholars have analyzed the causes of water and soil loss, and pointed out that both natural factors and human activities are the root causes for these losses. The associated natural factors include the landscape, soil, groundwater and precipitation. Since the climate in this area is subtropical monsoon, heavy rainfall occurs during summer and as a result, the greatest water and soil loss mainly takes place in this season. Hubei province is divided into three regions according to the degree of water and soil loss. The first region is that of mountainous areas given its landscape, this area is characterized with serious water and soil loss. The second region features agriculture and industrial activities, the original land surface area in this region is greatly disturbed by the human activities that it is subjected to. The third division is that of the land around lakes, this division is based on the unique type of soil found in such areas. Human activities including the land use in the agriculture and urban expansion, is found especially in mountainous areas. Research has established that water and soil loss has since 1980, increased more and more with the passing of time. It can be concluded that this trend will continue if the human activities do not support the soil and water systems. Finally, the results from the prevention and treatment discussed showed that the control measures for the prevention of water and soil loss must be definitively enforced at the earliest convenience.
The Study on Countermeasures of Promoting Energy-Saving and Emissions-Reducing Based on Circular Economy Theory
Authors: Herui Cui, Xiuli Song
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Energy saving and emissions reducing is an important and urgent task for implementing the scientific development views in the new era. Development of circular economy is an important way to realize energy saving and emissions reducing. Cleaner production and industrial park can promote the level of the whole society saving resources, energy and to reduce the emission of pollutants.
A Survey on Privacy Preserving Data Mining
Authors: Jian Wang, Yongcheng Luo, Yan Zhao, Jiajin Le
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Privacy preserving becomes an important issue in the development progress of data mining techniques. Privacy preserving data mining has become increasingly popular because it allows sharing of privacy-sensitive data for analysis purposes. So people have become increasingly unwilling to share their data, frequently resulting in individuals either refusing to share their data or providing incorrect data. In turn, such problems in data collection can affect the success of data mining, which relies on sufficient amounts of accurate data in order to produce meaningful results. In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed for privacy preserving data mining of multidimensional data records. This paper intends to reiterate several privacy preserving data mining technologies clearly and then proceeds to analyze the merits and shortcomings of these technologies.
Towards a new strategy for solving fuzzy optimization problems
Authors: J. M. Cadenas, J. L. Verdegay
Venue: Fuzzy Optimization and Decision Making (2009)

Fuzzy Optimization models and methods has been one of the most and well studied topics inside the broad area of Soft Computing. Particularly relevant is the field of fuzzy linear programming (FLP). Its applications as well as practical realizations can be found in all the real world areas. As FLP problems constitute the basis for solving fuzzy optimization problems, in this paper a basic introduction to the main models and methods in FLP is presented and, as a whole, Linear Programming problems with fuzzy costs, fuzzy constraints and fuzzy coefficients in the technological matrix are analyzed. But fuzzy sets and systems based optimization methods do not end with FLP, and hence in order to solve more complex optimization problems, fuzzy sets based Meta-heuristics are considered, and two main operative approaches described. Provided that these techniques obtain efficient and/or effective solutions, we present a fuzzy rule based methodology for coordinating Meta-heuristics and in addition, to provide intelligence, we propose a process of extraction of the knowledge to conduct the coordination of the system.
Expansions and Equivalence of Queries Using Views with Parameters and Negation
Authors: Victor Felea, Marian Balta
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

In this paper we represent a class of queries that contain sub-formulas with universally quantified variables using views. The queries and views considered can contain input parameters. Both views and queries are expressed as unions of conjunctive formulas, where the predicates of literals are views or database relations. The negation is allowed in body views or body queries. We study the equivalence of a query and one of its expansions.
Using citations to generate surveys of scientific paradigms
Authors: Saif Mohammad, Bonnie Dorr, Melissa Egan, Ahmed Hassan, Pradeep Muthukrishan, Vahed Qazvinian, Dragomir Radev, David Zajic
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

The number of research publications in various disciplines is growing exponentially. Researchers and scientists are increasingly finding themselves in the position of having to quickly understand large amounts of technical material. In this paper we present the first steps in producing an automatically generated, readily consumable, technical survey. Specifically we explore the combination of citation information and summarization techniques. Even though prior work (Teufel et al., 2006) argues that citation text is unsuitable for summarization, we show that in the framework of multi-document survey creation, citation texts can play a crucial role.
Real-Time Message Compression in Software
Authors: Martin Burtscher
Venue: Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2009)

Many parallel applications spend a substantial amount of their total execution time exchanging data between processes. As a result, much work has been done on enhancing the performance of messaging libraries. However, little attention has been paid to improving the achievable bandwidth of large messages because network utilization is relatively good with large message sizes. Yet, large messages dominate the overall message makeup and communication time in many applications. For example, in simulation codes it is typical to transfer a significant amount of floating-point data between compute nodes after each time step.
Liquid Crystal Display Drivers: Techniques and Circuits, 1st edition
Authors: David J. R. Cristaldi, Salvatore Pennisi, Francesco Pulvirenti
Venue:  (2009)

Liquid Crystal Display Drivers deals with Liquid Crystal Displays from the electronic engineering point of view and is the first expressively focused on their driving circuits. After introducing the physical-chemical properties of the LC substances, their evolution and application to LCDs, the book converges to the examination and in-depth explanation of those reliable techniques, architectures, and design solutions amenable to efficiently design drivers for passive-matrix and active-matrix LCDs, both for small size and large size panels. Practical approaches regularly adopted for mass production but also emerging ones are discussed. The topics treated have in many cases general validity and found application also in alternative display technologies (OLEDs, Electrophoretic Displays, etc.).
Generalized graphical abstractions for statistical machine translation
Authors: Karim Filali, Jeff Bilmes
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

We introduce a novel framework for the expression, rapid-prototyping, and evaluation of statistical machine-translation (MT) systems using graphical models. The framework extends dynamic Bayesian networks with multiple connected different-length streams, switching variable existence and dependence mechanisms, and constraint factors. We have implemented a new general-purpose MT training/decoding system in this framework, and have tested this on a variety of existing MT models (including the 4 IBM models), and some novel ones as well, all using Europarl as a test corpus. We describe the semantics of our representation, and present preliminary evaluations, showing that it is possible to prototype novel MT ideas in a short amount of time.
Effect of Mental Training on BCI Performance
Authors: Lee-Fan Tan, Ashok Jansari, Shian-Ling Keng, Sing-Yau Goh
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

This paper reports initial findings from a randomized controlled trial conducted on 9 subjects to investigate the effect of two mental training programs (a mindfulness meditation and learning to play a guitar) on their BCI performance. After 4 weeks of intervention, results show that subjects who had undergone a program of mindfulness meditation improved their BCI performance scores significantly compared to a no-treatment control group. Subjects who were learning to play a guitar also improved their BCI performance scores but not as much as the meditation group.
A lightweight semantic chunking model based on tagging
Authors: Kadri Hacioglu
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

In this paper, a framework for the development of a fast, accurate, and highly portable semantic chunker is introduced. The framework is based on a non-overlapping, shallow tree-structured language. The derivation of the tree is considered as a sequence of tagging actions in a predefined linguistic context, and a novel semantic chunker is accordingly developed. It groups the phrase chunks into the arguments of a given predicate in a bottom-up fashion. This is quite different from current approaches to semantic parsing or chunking that depend on full statistical syntactic parsers that require tree bank style annotation. We compare it with a recently proposed word-by-word semantic chunker and present results that show that the phrase-by-phrase approach performs better than its word-by-word counterpart.
A Novel Method for Object Recognition under Varying Illumination
Authors: Yanqing Wang, Deyun Chen, Chaoxia Shi
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

A novel method of image segmentation was proposed in this paper to realize robustness and quickness in object recognition under varying illuminations. This method uses a Seven-Color Flower (SCF) model based on a complete rgb space to realize dynamic tracking of the clustering parameters. The experiments of image segmentation under varying illuminations indicate that this model can not only make color segmentation real-time and robust but also meet the requirement of object recognition for autonomous mobile robot without prior environmental knowledge.
Modeling Fault Tolerant Services in Service-Oriented Architecture
Authors: Farzaneh Mahdian, Vahid Rafe, Reza Rafeh, Adel T. Rahmani
Venue: Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering (2009)

Nowadays, using of Service-Oriented Architectures (SOA) is spreading as a flexible architecture for developing dynamic enterprise systems.In this paper we investigate fault tolerance mechanisms for modeling services in service-oriented architecture. We propose a metamodel (formalized by a type graph) with graph rules for monitoring services and their communications to detect existing faults.
High order conservative differencing for viscous terms and the application to vortex-induced vibration flows
Authors: Yiqing Shen, Gecheng Zha, Xiangying Chen
Venue: Journal of Computational Physics (2009)

A new set of conservative 4th-order central finite differencing schemes for all the viscous terms of compressible Navier-Stokes equations are proposed and proved in this paper. These schemes are used with a 5th-order WENO scheme for inviscid flux and the stencil width of the central differencing scheme is designed to be within that of the WENO scheme. The central differencing schemes achieve the maximum order of accuracy in the stencil. This feature is important to keep the compactness of the overall discretization schemes and facilitate the boundary condition treatment. The algorithm is used to simulate the vortex-induced oscillations of an elastically mounted circular cylinder. The numerical results agree favorably with the experiment.