ppxscal/embedding_network huggingface dataset:
An AR system for haptic communication
Authors: Jongeun Cha, Ian Oakley, Junhun Lee, Jeha Ryu
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

Touch is an important part of human communication. Through handshakes, hugs and a myriad of personal gestures, we convey our emotions and express our feelings. However, how such interactions can be achieved over distance remains a relatively unexplored area of research. To begin to rectify this we present the description of a system that enables one user to reach out and touch another distant user and for both to feel the resultant physical contact. In this initial exploration, we focus on the practical feasibility of this idea, and describe the technical components required.
Intelligent Patient Management using Dynamic Models of Clinical Variables
Authors: Adele H. Marshall, Ronan Donaghy
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

The ability to model and predict the progression of disease in a patient can have wide ranging benefits, including the ability to successfully manage bed allocation in hospitals or the increase understanding of the evolution of the disease. This paper describes a new method of modelling the progression of a disease through different stages called a Coxian hidden Markov model. This model can be used to increase understanding of the characteristics of the different stages of the disease and to predict patient survival time given repeated measurements of dynamically changing clinical variables. This knowledge could then be used to provide better patient management.
SKMA: a key management architecture for SCADA systems
Authors: Robert Dawson, Colin Boyd, Ed Dawson, Juan Manuel González Nieto
Venue: Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54 (2006)

Supervisory Control And Data Acquisition (SCADA) systems are widely used in the management of critical infrastructure such as electricity and water distribution systems. Currently there is little understanding of how to best protect SCADA systems from malicious attacks. We review the constraints and requirements for SCADA security and propose a suitable architecture (SKMA) for secure SCADA communications. The architecture includes a proposed key management protocol (SKMP). We compare the architecture with a previous proposal from Sandia Labs.
Conjoining Three Auditory Features: An Event-Related Brain Potential Study
Authors: David L. Woods, Claude Alain
Venue: Journal of Cognitive Neuroscience (2001)

The mechanisms of auditory feature processing and conjunction were examined with event-related brain potential (ERP) recording in a task in which participants responded to target tones defined by the combination of location, frequency, and duration features amid distractor tones varying randomly along all feature dimensions. Attention effects were isolated as negative difference (Nd) waves by subtracting ERPs to tones with no target features from ERPs to tones with one, two, or three target features. Nd waves were seen to all tones sharing a single feature with the target, including tones sharing only target duration. Nd waves associated with the analysis of frequency and location features began at latencies of 60 msec, whereas Nd-Duration waves began at 120 msec. Nd waves to tones with single target features continued until 400+ msec, suggesting that once begun, the analysis of tone features continued exhaustively to conclusion. Nd-Frequency and Nd-Human Location waves had distinct scalp distributions, consistent with generation in different auditory cortical areas. Three stages of feature processing were identified: (1) Parallel feature processing (60-140 msec): Nd waves combined linearly, such that Nd-wave amplitudes following tones with two or three target features were equal to the sum of the Nd waves elicited by tones with only one target feature. (2) Conjunction-specific (CS) processing (140-220 msec): Nd amplitudes were enhanced following tones with any pair of attended features. (3) Target-specific (TS) processing (220-300 msec): Nd amplitudes were specifically enhanced to target tones with all three features. These results are consistent with a facilitatory interactive feature analysis (FIFA) model in which feature conjunction is associated with the amplified processing of individual stimulus features. Activation of N-methyl-D-aspartate (NMDA) receptors is proposed to underlie the FIFA process.
Human-centric network security management: a comprehensive helper
Authors: Ghita Kouadri Mostéfaoui, Patrick Brézillon
Venue: Proceedings of the 4th international workshop on Wireless mobile applications and services on WLAN hotspots (2006)

In most current systems, managing access to networks rely on static rules implemented on firewalls and IDS (Intrusion Detection Systems). These measures lack a systematic consideration of the context within which an attack occurs. Indeed, we argue that network access management must be enforced by identifying the sensible contexts in which the hacker tries to drive the system to, before performing the potential dangerous action. Thus, our claim concerns a human-centered management of security as opposed to computing-centered security. In this direction, we propose a visual model that allows expressing sensible contexts for blocking hackers when they enter such sensible contexts. This surveillance operation could be lead by a human or a system. Additionally, our solution allows interlocked processes of incremental acquisition of knowledge and learning of new practices that enriches the initial security policy with new security contexts.
Motivations and measurements in an agile case study
Authors: Lucas Layman, Laurie Williams, Lynn Cunningham
Venue: Proceedings of the 2004 workshop on Quantitative techniques for software agile process (2004)

With the recent emergence of agile software development technologies, the software community is awaiting sound, empirical investigation of the impacts of agile practices in a live setting. One means of conducting such research is through industrial case studies. However, there are a number of influencing factors that contribute to the success of such a case study. In this paper, we describe a case study performed at Sabre Airline Solutions evaluating the effects of adopting Extreme Programming (XP) practices with a team that had characteristically plan-driven risk factors. We compare the team's business-related results (productivity and quality) to two published sources of industry averages. Our case study found that the Sabre team yielded above-average post-release quality and average to above-average productivity. We discuss our experience in conducting this case study, including specifics of how data was collected, the rationale behind our process of data collection, and what obstacles were encountered during the case study. We also identify four factors that potentially impact the outcome of industrial case studies: availability of data, tool support, co-operative personnel and project status. We believe that recognizing and planning for these factors is essential to conducting industrial case studies, and that this information will be helpful to researchers and practitioners alike.
Immediate creation of user centric interaction model
Authors: Ungyeon Yang, Wookho Son, Gerard Junghyun Kim
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

In this paper, we describe an immersive interaction platform for car-interior design virtual review system where users can acquire an experience that is identical to real situation. Laying stress on body model creation, real time motion control and collision processing module, we suggest an immediate design process of user centric interaction model and present developments of the prototype system.
Extracting Subimages of an Unknown Category from a Set of Images
Authors: Sinisa Todorovic, Narendra Ahuja
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupervised identification of photometric, geometric, and topological (mutual containment) properties of multiscale regions defining objects in the category; (2) learning a region-based structural model of the category in terms of these properties from a set of training images; and (3) segmentation and recognition of objects from the category in new images. To this end, each image is represented by a tree that captures a multiscale image segmentation. The trees are matched to find the maximally matching subtrees across the set, the existence of which is itself viewed as evidence that a category is indeed present. The matched subtrees are fused into a canonical tree, which represents the learned model of the category. Recognition of objects in a new image and image segmentation delineating all object parts are achieved simultaneously by finding matches of the model with subtrees of the new image. Experimental comparison with state-of-the-art methods shows that the proposed approach has similar recognition and superior localization performance while it uses fewer training examples.
Adaptive Instructional Planning in Intelligent Learning Systems
Authors: Hassina Seridi, Toufik Sari, Tarek Khadir, Mokhtar Sellami
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Traditional hypermedia techniques add a new dimension to reading, but do not enable precise pedagogical strategies to be followed during the composition of an adaptive course. This paper investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment. The predetermination of a set of selection rules based on the assessment results of the learner can increase the system adaptation and affects even more the relevance of the approach. Nevertheless, only the expert tutor is entitled to formulate with certainty a correspondence between learner's profile and the characteristics of learning objects. A methodology is introduced then for producing a decision model that imitated the way decided by the designer. An intelligent mechanism based on a non-symbolic approach system is used for an adaptation of the teaching contents to the learners' performances.
Stabilization Time - A Quality Metric for Software Products
Authors: Vibhu Saujanya Sharma, Pankaj Jalote
Venue: Proceedings of the 17th International Symposium on Software Reliability Engineering (2006)

In software products, often the failure rate decreases after installation, eventually reaching a steady state. The time it takes for a product to reach its steady state reliability depends on different product parameters. In this paper we propose a new metric for software products called stabilization time which is the time taken after installation for the reliability of the product to stabilize. This metric can be used for comparing products, and can be useful for organizations and individuals using the product as well as for the product vendor. We also present an approach for determining the stabilization time of a product from its failure and sales data. We apply the approach to three real life products using their failure and sales data after release.
Incontrol Enterprise Dynamics: production/logistics solutions
Authors: Fred Jansma
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Production and logistics is probably the biggest simulation market today. The Enterprise Dynamics Logistics Suite is the "ready to use" simulation solution to model, simulate, visualize and control your production line or warehouse. The easy-to-use building blocks allow you to minimize the time spent on modeling and simulating new facilities and future changes in the design of existing factories. In this vendor track we will show: automatic model generation; production line simulation, emulation and control. Are you ready to enter the digital future?
Why Look Back? Arguments for a History of Computing in Education
Authors: Liza Loop
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Studying the history and development of computing in education will improve future practice in advanced learning technologies. First, the author reviews two exemplar issues that are still unsolved: what kind of educational material should be presented via computer and how interface complexity can interfere with educational "payload." Thereafter, the History of Computing in Education virtual museum (HCE) is introduced as a resource to make primary source materials for such study more accessible.
A steady-state analysis of the LMS adaptive algorithm without use of the independence assumption
Authors: H. J. Butterweck
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

Current analysis of the LMS algorithm makes use of an "independence assumption" stating statistical independence of successive input vectors. This assumption conflicts with the inherent deterministic coherence of the vector input signal and, as such, is the source of conceptual and didactic difficulties. Nevertheless, due to its analytic convenience and its moderate agreement with experimental results, it is in widespread use. A theory of the steady-state behaviour of the LMS algorithm is presented that avoids the independence assumption with its inherent problems and yields a number of new results. Simulations support the analytic conclusions. A study is also included of the parameter or weight fluctuations for the well-known LMS algorithm applied to the common adaptive FIR filter structure.
Estimation of attraction domains in wheeled robot control
Authors: L. B. Rapoport
Venue: Automation and Remote Control (2006)

Considered is the control design problem for planar motion of a wheeled robot. The mathematical model of the robot accounts for kinematic relationships between the velocity of a given point of chassis referred to as the reference point, orientation of the chassis, and control. Among the kinematic relations is the requirement that each of the four wheels perform a slip-free motion. The rear wheels are assumed to be driving while the front wheels are responsible for the rotation of the chassis. The control objective is to place the reference point in the prespecified trajectory and to stabilize the motion of the reference point along the prespecified trajectory. The trajectory consists of line segments and circular arcs. In the mathematical model under consideration, the current curvature of the trajectory of the reference point is taken as control; it is related to the steering angle of the front wheels by a simple algebraic expression. The control is subject to two-sided constraints due to limitations on the steering angle of the front wheels. For the control law proposed, the attraction domain in the space "distance to the trajectory--orientation" is analyzed. For the initial conditions from this domain, the system is guaranteed to hit a trajectory with given index of exponential stability.
Variational segmentation and PCA applied to dynamic PET analysis
Authors: Brian Parker, David Dagan Feng
Venue: Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22 (2003)

A graph-theoretic variational segmentation algorithm is applied to 22-frame dynamic positron emission tomography (PET) data sets after dimension reduction along the time axis using principal component analysis. Initial results indicate that the PCA is a very useful initial preprocessing step for segmentation and is effective in minimising the artifacts present in the PET data sets, allowing accurate delineation of pathological and anatomical features by the variational segmentation algorithm.
Automated semantic web service discovery with OWLS-MX
Authors: Matthias Klusch, Benedikt Fries, Katia Sycara
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

We present an approach to hybrid semantic Web service matching that complements logic based reasoning with approximate matching based on syntactic IR based similarity computations. The hybrid matchmaker, called OWLS-MX, applies this approach to services and requests specified in OWL-S. Experimental results of measuring performance and scalability of different variants of OWLS-MX show that under certain constraints logic based only approaches to OWL-S service I/O matching can be significantly outperformed by hybrid ones.
A Tutoring Tool Based on Bayesian Approach
Authors: Francesco Colace, Massimo De Santo
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

In this paper we introduce a tutoring approach for ELearning formative process. This approach is strictly related to the assessment phase. Assessment in the context of education is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Finding an appropriate assessment tool is a central challenge in designing a tutoring approach. In this paper we propose a method based on the use of ontologies and their representation through a Bayesian Networks. The aim of our approach is the generation of adapted questionnaires in order to test the student's knowledge of every domain's subject. Analyzing the results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning paths.
A Robust Geometry-Based Watermarking Scheme for 3D Meshes
Authors: Zhen Li, Wei-Min Zheng, Zhe-Ming Lu
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Most of the researchers on watermarking techniques have focused on protecting the copyright information in various data such as audio, image and video signals. However, relatively less watermarking techniques are in respect of copyright protection of 3D model objects. After analyzing the data structure of 3D models, we propose a novel and efficient algorithm which allows embedding public watermarks containing copyright information into 3D models consisting entirely of triangle meshes. In the proposed algorithm, watermarks are embedded into a 3D model by altering model vertices with weights and along directions that are all adaptive to the local geometry. The geometrybased algorithm allows of higher robustness with transparency. Experimental results and the attack analysis demonstrate that the proposed watermarking algorithm is transparent and robust against the combination of various attacks.
Modern Language Information Technologies: How they Help Japanese Students
Authors: Vitaly Klyuev
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

There are several universities in Japan where English is the official language of instruction. Japanese students are expected to read numerous scientific papers and books in English as well as write reports using their second language. This paper presents different language information technologies that support students in their study. We investigate features of Web technologies and hand-held devices. We conducted a survey among first and second year students to analyze how they use technologies to improve their comprehension of teaching materials. From the results, we conclude the following: students have to be trained to ensure that they know the details of the technologies and to apply them in practice.
Cognitive Support: A Machine-Mediated Communication Perspective
Authors: Adel Elsayed, Yongqiang Qiu
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper provides an MMC perspective for the provision of cognitive support. First, an overview of cognitive operations and categorization of cognitive tools is given. It then briefly describes a cognitive support application based on the provision of semantic structures of content. The suggested tool is shown to provide an 'operational' dimension that extends its intrinsic nature as an 'observable' asset.
A comprehension tool for mathematics?: the Math Forum@Drexel's Online Mentoring Guide
Authors: K. Ann Renninger, Lillian S. Ray, Ilana Luft, Erica L. Newton
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Two studies of the Math Forum's Online Mentoring Guide (OMG) address whether and how online comprehension tools might support mathematics learning. In Study 1, the culture of the preservice teachers' (PTs') mathematics classroom and their work with the OMG and its impact on their developing comprehension of mathematics and mentoring is described. In Study 2, the impact of content-informed scaffolding of PTs' work with the OMG is investigated.
Parking Simulation and Guidance in a Model Environment
Authors: Kamen Kanev, Nikolay Mirenkov, Akifumi Urata
Venue: Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology (2006)

This work is dedicated to a parking simulation and guidance environment based on remote controlled car models operated over digitally encoded surfaces and monitored by a computer system that provides virtual views and guidance. The tangible part of the environment consist of physical car models that can be touched, moved by hand and steered by wireless modules. A controlling computer system can remotely sense model car positions and orientations through the Cluster Pattern Interface (CLUSPI®), embedded into the flooring of the model environment. Based on that the controlling computer maintains a virtual reality representation of the model environment and uses it for producing additional views and for providing guidance to users. The tangible parking simulation and guidance model environment has the potential to augment traditional classroom learning and to bridge the gap between driving theory and practice. Potential application areas could be driving schools, events for increasing driving safety awareness and others.
Privacy and Security in Public Health: Maintaining the Delicate Balance between Personal Privacy and Population Safety
Authors: Dixie B. Baker
Venue: Proceedings of the 22nd Annual Computer Security Applications Conference (2006)

Amidst threats of pandemic avian influenza and bioterrorist attack, public health surveillance and preparedness have never been more important. Early detection of biological events, electronic reporting of laboratory test results, efficient exchange of case reports across jurisdictions, and timely alerting of health threats are critical components of effective health protection. Essential to public health surveillance and preparedness is the timely availability of information relating to individuals' healthcare behaviors and clinical conditions -- posing a threat to personal privacy. Public health is challenged to maintain an optimal balance between protecting the nation's health and respecting the personal privacy of its citizens.