ppxscal/embedding_network huggingface dataset:
Development of tremor-suppression filter for meal-assist robot
Authors: Eiichi Ohara, Ken'ichi Yano, Satoshi Horihata, Takaaki Aoki, Yutaka Nishimoto
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

A robot that supports independent living by assisting with eating and other activities involving the use of the hand using the operator's own hand would be helpful for people suffering from tremors of the hand or any other body part. In this study, the proposed adaptive filter estimates tremor frequency with a time-varying property and individual differences online, and insulates the voluntary motion signal from the sensor signal containing tremor components. As a result, the developed human-machine interface makes it possible for the person with a tremor to manipulate the supporting robot without causing operability to deteriorate and without hazards due to improper operation.
Guided Map for Scaffolding Navigation Planning as Meta-Cognitive Activity in Hyperspace
Authors: Akihiro Kashihara, Mitsuyoshi Nakaya, Koichi Ota
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

Planning navigation process in hyperspace is an important activity for learning hypermedia/hypertext-based contents such as existing Web contents. However, it is quite hard for learners to plan their navigation process in a self-directed way. The main issue addressed in this paper is how to scaffold the self-directed navigation planning process. Our approach to this issue is to provide learners with a guided map, which not only represents hyperspace but also highlights representative pages and links to be learned in the hyperspace. We propose a navigation history mining method that can extract these representative pages and links from navigation histories that could be gathered from peers. This paper also discusses the potential for adaptive scaffolding, which can adapt the guided map to learners' capabilities of navigation planning.
Privacy-preserving multi-dimensional credentialing using veiled certificates
Authors: Chin-Tser Huang, John H. Gerdes,  Jr.
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

Traditional certificates are designed to establish and document characteristics belonging to a specific individual, be it an identification number, a level of achievement, or membership status. The digital certificate extends this concept into the electronic world, identifying and linking the certificate holder to a public encryption key that is subsequently used as a means of identification. Current identity certificates provide unique identification and tracking, however it is exactly these characteristics that have led to concerns over identity theft and privacy of personal information. In this paper, we introduce a new type of certificate, called veiled certificate, which addresses these issues by providing means of linking certificates from multiple certifying authorities while masking the user's identity from non-authorized individuals and satisfying the regulatory need of unique, explicit identification. With the ability to be implemented within existing X.509 standards, veiled certification extends traditional digital certificates with features useful in combating identity theft and invasion of privacy.
Reflections on symmetry
Authors: Harold Thimbleby
Venue: Proceedings of the working conference on Advanced visual interfaces (2002)

Symmetry is routinely used in visual design, but in fact is not just a visual concept. This paper explores how deeper symmetries in user interface implementations can be 'reflected' in the design of the user interface, and make them easier to use. This deeper application of symmetry for user interface design is related to affordance, and therefore makes that concept constructively applicable. Recommendations for programming better user interfaces are suggested. "Symmetry, as wide or as narrow as you may define its meaning, is one idea by which man through the ages has tried to comprehend and create order, beauty, and perfection." Hermann Weyl [16]
Brave induction: a logical framework for learning from incomplete information
Authors: Chiaki Sakama, Katsumi Inoue
Venue: Machine Learning (2009)

This paper introduces a novel logical framework for concept-learning called brave induction. Brave induction uses brave inference for induction and is useful for learning from incomplete information. Brave induction is weaker than explanatory induction which is normally used in inductive logic programming, and is stronger than learning from satisfiability, a general setting of concept-learning in clausal logic. We first investigate formal properties of brave induction, then develop an algorithm for computing hypotheses in full clausal theories. Next we extend the framework to induction in nonmonotonic logic programs. We analyze computational complexity of decision problems for induction on propositional theories. Further, we provide examples of problem solving by brave induction in systems biology, requirement engineering, and multiagent negotiation.
How Will Online Courses Weather the Economic Downturn?
Authors: Laurie Rowell
Venue: eLearn (2009)

In the minds of most e-learning professionals, the University of Phoenix is closely tied to the concept of online courses, at least in part because the for-profit institution's pop-up advertisements for them are so ubiquitous. In fact, the university's students racked up a hefty $2.8 billion in federal loans and grants in fiscal year 2008, according to the government site Top 100 Recipients of Federal Assistance. How the economic downturn is going to affect general college enrollment in 2009 is not yet clear, but the emerging consensus is that community colleges will likely get a bump in enrollment while four-year institutions may struggle. Online enrollment, however, is expected to do well across most institutions.
Best-Order Streaming Model
Authors: Atish Das Sarma, Richard J. Lipton, Danupon Nanongkai
Venue: Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation (2009)

We study a new model of computation called stream checking on graph problems where a space-limited verifier has to verify a proof sequentially (i.e., it reads the proof as a stream). Moreover, the proof itself is nothing but a reordering of the input data. This model has a close relationship to many models of computation in other areas such as data streams, communication complexity, and proof checking and could be used in applications such as cloud computing.In this paper we focus on graph problems where the input is a sequence of edges. We show that checking if a graph has a perfect matching is impossible to do deterministically using small space. To contrast this, we show that randomized verifiers are powerful enough to check whether a graph has a perfect matching or is connected.
Modified agile practices for outsourced software projects
Authors: Dinesh Batra
Venue: Communications of the ACM (2009)

Frustration with the bureaucratic nature of the disciplined approach has led to the call for agile development. The new approach is defined by the Agile Manifesto (http://agilemanifesto.org/), which values individuals and interactions over processes and tools, working software over comprehensive documentation, customer collaboration over contract negotiation, and agility in responding to change over following a prescribed plan. Agile development does not focus on process improvement; instead it focuses on customer satisfaction and employee empowerment. This is evident from reading the stated values and principles of the Agile Manifesto, which include fairly extreme positions such as "welcome changing requirements, even late in development" and "the best architectures, requirements, and designs emerge from self-organizing teams." An interesting issue arising from the call for agile development is its role in distributed development, which usually translates to offshore development. A recent study indicates that agile practices can reduce temporal, geographical, and socio-cultural distances in distributed development projects. The study researched agile development between teams located in the U.S. and Ireland, and while it reported that overall communication was improved, it also noted problems related to geographical, temporal, and even language distances. Although there are other reported successes of distributed agile development, the projects are generally small, the team members are likely familiar with each other, and the participants are largely experts or high caliber developers. This raises a research, as well as a practical, question: can we extend the use of agile practices from small projects to medium and large projects that involve a significant outsourcing component? To address this question, we must drop constraints such as small size projects, and expert developers belonging to the same company, and examine problems arising from geographical, temporal, and cultural distances. Accordingly, agile practices may need to be modified. In this article, the key issues of software projects with an outsourced component are first identified. These issues are then used as a background to evaluate how standard agile practices stand up when applied to larger projects. This evaluation is followed by recommendations for modified agile practices for outsourced software projects.
EEG under anesthesia-Feature extraction with TESPAR
Authors: Vasile V. Moca, Bertram Scheller, Raul C. Mureşan, Michael Daunderer, Gordon Pipa
Venue: Computer Methods and Programs in Biomedicine (2009)

We investigated the problem of automatic depth of anesthesia (DOA) estimation from electroencephalogram (EEG) recordings. We employed Time Encoded Signal Processing And Recognition (TESPAR), a time-domain signal processing technique, in combination with multi-layer perceptrons to identify DOA levels. The presented system learns to discriminate between five DOA classes assessed by human experts whose judgements were based on EEG mid-latency auditory evoked potentials (MLAEPs) and clinical observations. We found that our system closely mimicked the behavior of the human expert, thus proving the utility of the method. Further analyses on the features extracted by our technique indicated that information related to DOA is mostly distributed across frequency bands and that the presence of high frequencies (>80Hz), which reflect mostly muscle activity, is beneficial for DOA detection.
Photoshop Elements 7 in Easy Steps: For Windows and Mac
Authors: Nick Vandome
Venue:  (2009)

Photoshop Elements 7 is in a league of its own when it comes to sharing images creatively, and this guide covers all of its stunning features, including improved effects, color-coordinated layouts, animated slideshows, dynamic online galleries, and photo emails. The book shows readers how Elements 7 simplifies work through the use of tags, collections, face recognition, and Smart Albums. Also covered are Adobe's new online service, Photoshop.com, color enhancements and techniques (such as skin tone adjustment), and quick fixes.
VR Edutainment Material Interlude for Dynamics Experiment and the Development Platform Prelude
Authors: Yuma Hanafusa, Takashi Inoue, Hiroyuki Tominaga, Toshihiro Hayashi, Toshinori Yamasaki
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

VR teaching materials are useful for physics education. We propose Interlude framework for self-learning of various dynamics experiments. It is operated by HI input devices for 3D movement. It offers 3DCG demonstrations of dynamics phenomenon and trial exercises with several parameters in microworld. The purpose is to promote interest about dynamics for beginners, and to nourish their physical sense. We introduce non-reality visual expression as edutainment methodology to emphasize the important entities of dynamics scenes intuitively. Interlude materials are based on common platform Prelude, which contains the runtime interface and component library according to our aspect model.
An Information-Hiding Scheme Based on Quantization-Based Embedding Technique
Authors: Tzu-Chuen Lu, Chin-Chen Chang, Yi-Long Liu
Venue: Fundamenta Informaticae (2009)

Information hiding is a technique that embeds secret data in digital media for using in a variety of applications, including ownership protection, authentication, access control, annotation and so on. In this paper, we propose an information hiding scheme based on quantization-based embedding technique to conceal information in gray-scale image. The proposed scheme was tested with a variety of gray images. According to the experimental results, hidden information can be extracted correctly and quickly from the stego image. In addition, the stego image has only a little distortion compared with the cover image. The proposed scheme can not only hide a large amount of information in the cover image, but can also repair the stego image such that the repaired image is almost the same as the cover image.
Learning to segment from a few well-selected training images
Authors: Alireza Farhangfar, Russell Greiner, Csaba Szepesvári
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

We address the task of actively learning a segmentation system: given a large number of unsegmented images, and access to an oracle that can segment a given image, decide which images to provide, to quickly produce a segmenter (here, a discriminative random field) that is accurate over this distribution of images. We extend the standard models for active learner to define a system for this task that first selects the image whose expected label will reduce the uncertainty of the other unlabeled images the most, and then after greedily selects, from the pool of unsegmented images, the most informative image. The results of our experiments, over two real-world datasets (segmenting brain tumors within magnetic resonance images; and segmenting the sky in real images) show that training on very few informative images (here, as few as 2) can produce a segmenter that is as good as training on the entire dataset.
Graphic simulation for inverse kinematics algorithms in visual servoing applications
Authors: Razvan Tudor Tanasie, Dorian Cojocaru
Venue: Proceedings of the 4th WSEAS/IASME international conference on Dynamical systems and control (2008)

A kinematical 3D model for hyper-redundant robots is created. A development environment for control applications for tentacle robots is created. This environment includes a personal library of mathematical functions typical for tentacle robots, a complex graphical engine to represent realist animations to illustrate the plane motion of the hyper-redundant robots, and a library of programming functions for creating, accessing, modification and destroying the instances of the different implemented classes. The advantages of such an application are numerous, the costs reduction and educational use of the simulator being the most important.
An extension of the utaut model: how organizational factors and individual differences influence technology acceptance
Authors: Christiane Spitzmueller
Venue:  (2008)

The process in which employees come to accept or reject new technologies that are implemented within organizations has been a popular topic of examination for well over two decades. Indeed, it is imperative that organizations implement technologies in such a way that employees will accept and use them to improve their productivity and performance. Although many researchers have proposed models that depict this technology acceptance process, there is still a need to examine the boundary conditions of these models so that the acceptance process may more fully be understood and implemented successfully within organizations. This study examined system effectiveness by looking at the UTAUT as a model of technology acceptance. Furthermore, specific variables that were proposed to moderate relationships within the UTAUT were analyzed including locus of control, perceived organizational support, affective and normative commitment, and procedural justice. Data from one sample (181 full time employees) indicated that in general, the UTAUT model was supported, however, the moderators proved non-significant. Implications are discussed for the technology acceptance process as technologies are implemented within organizations and suggestions for future research in this area are also discussed.
Focal Point Detection Based on Half Concentric Lens Model for Singular Point Extraction in Fingerprint
Authors: Natthawat Boonchaiseree, Vutipong Areekul
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

A focal point is a kind of singular points, closely related to a core point, which can be derived from curvature of fingerprint ridges and valleys. It is expected that the focal point is more reliable than the core point in case of low quality fingerprint. This paper proposes a new efficient focal point localization method based on a half concentric lens model. The half concentric lens window, with directional adaptive, accelerates convergence of a focal point localization process rapidly. Moreover, concentric lens similarity factor is introduced in order to measure orientation and stability of an extracted focal point. From experimental results, the proposed scheme is out-performed most of singular point detection schemes in literature in term of location accuracy and consistency. For computational complexity, algorithm requires average 75 millisecond execution-time from original fingerprint to a unique focal point.
An ITS for medical classification problem-solving: Effects of tutoring and representations
Authors: Rebecca Crowley, Elizabeth Legowski, Olga Medvedeva, Eugene Tseytlin, Ellen Roh, Drazen Jukic
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

We report on the first evaluation of SlideTutor --a cognitive tutor in a medical diagnostic domain. The study was designed to evaluate both the overall impact of the tutoring system on diagnostic performance, and the effect of using two alternative interfaces to the system. The case-structured interface provides a case-centric view of the task, and the knowledge-structured interface provides a knowledge-centric view of the task. The study showed a strong effect of tutoring on performance in both multiple choice and case diagnosis tests for all students. Performance gains were maintained at one week. There were no significant differences between interface conditions on performance measures. Students in the knowledge-structured interface condition showed a significant improvement in correlating their certainty to their performance, which was not true of the case-structured condition. Ratings on a survey of user acceptance were significantly higher for the knowledge-structured interface.
Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Venue: International Conference on Autonomic Computing (2009)

It is a great pleasure to welcome you to the Grids Meet Autonomic Computing Workshop -- GMAC'09. At the core of the autonomic computing is the fact that high-level goals should be exposed by the middleware and should be easily tuned by users and system administrators. As grids become more and more the infrastructure for e-Science, grids and autonomic research had to find a forum where grid experts can expose grid trends to, and search for new models from autonomics ones. The idea of providing such a forum emerged at ICAC 2008, and resulted in the organization of this year's workshop in association with ICAC 2009. The focus of the workshop is to identify key scientific challenges related to the management and future of grids as a specific category of complex, heterogeneous, and rapidly evolving large-scale systems. The goal of the workshop is to promote community wide discussion of, and collaboration on potentially high-impact ideas that will influence and foster continued research in improving the scalability, manageability and reliability of grids. The papers presented cover a variety of approaches for the cross-fertilization of grids and autonomics, including conceptual frameworks for Autonomic Computational Science, collaborative agents and reinforcement learning. Experiences from engineering, deploying, and analyzing production grids and applications are also reported. In addition, the program features two keynote speeches: Robert Jones on the EGEE Grid and its Experiences in the Use of e-Infrastructures for World-class Science, and Manish Parashar on the Role of Autonomics in Emerging Grid Ecosystems. The panel on the Grid/Cloud/Autonomic convergence completes the program, and will create a further bridge to other workshops associated with ICAC, especially VTDC.
Incorporating constraints in probabilistic XML
Authors: Sara Cohen, Benny Kimelfeld, Yehoshua Sagiv
Venue: ACM Transactions on Database Systems (TODS) (2009)

Constraints are important, not only for maintaining data integrity, but also because they capture natural probabilistic dependencies among data items. A probabilistic XML database (PXDB) is the probability subspace comprising the instances of a p-document that satisfy a set of constraints. In contrast to existing models that can express probabilistic dependencies, it is shown that query evaluation is tractable in PXDBs. The problems of sampling and determining well-definedness (i.e., whether the aforesaid subspace is nonempty) are also tractable. Furthermore, queries and constraints can include the aggregate functions count, max, min, and ratio. Finally, this approach can be easily extended to allow a probabilistic interpretation of constraints.
Migrate Successfully to the New SAP General Ledger
Authors: Paul Theobald
Venue:  (2007)

The new general ledger (GL) is the biggest change to SAP Financials since its inception. This comprehensives guide shows you how to migrate successfully from the classic SAP GL to the all-new GL (SAP ERP 2004/2005 releases). You'll learn how to execute all aspects of the migration project, including staffing the project team, developing a proposed project timeline, and understanding when and how to engage SAP's migration service. In addition, you'll find out how to spot potential problems and how to avoid them before they occur. Tightly focused on technical and accounting issues, this book also provides best practices for your upgrade and strategies for ensuring that proper accounting practices are adhered to, while teaching you how to get the most from important new GL functionality such as document splitting. This is an indispensable resource for ensuring a successful and smooth migration to the new GL. 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