ppxscal/embedding_network huggingface dataset:
Media gallery TV: view and shop your photos on interactive digital television
Authors: Sabine Thieme, Ansgar Scherp, Melanie Albrecht, Susanne Boll
Venue: Proceedings of the 13th annual ACM international conference on Multimedia (2005)

In this paper, we present the Media Gallery, a MHP-based interactive multimedia application on digital TV. This application allows customers to view and order their digital photos and to order physical prints and fun products from these digital photos directly from TV. The Media Gallery opens a new distribution channel and market opportunity for the photo finisher and a platform to comfortably view and order their digital images directly on their TV.
Visualization of Large-Scale Unsteady Computational Fluid Dynamics Datasets
Authors: EARL P. N. DUQUE, STEVE M. LEGENSKY
Venue: Proceedings of the 2005 ACM/IEEE conference on Supercomputing (2005)

This paper represents an entry to the SC|05 Analytics Challenge and describes a new scientific visualization tool designed to allow investigators to more effectively interrogate large unsteady datasets. By utilizing techniques such as data extracts and programmable graphics processing units, this new capability allows users to more freely interrogate time accurate Computational Fluid Dynamics (CFD) solutions in excess of 108 grid points. This tool known as the Advanced Technology Viewer (ATViewer) has been incorporated into Intelligent Light's FIELDVIEW 11 product and applied here to interrogate two large unsteady datasets on the order of 60 gigabytes in size. The first is an unsteady Reynolds Averaged Navier-Stokes simulation of a wind turbine operating at a high yawed position. The other is a hybrid Large-Eddy simulation of an elastic helicopter rotor in forward flight.
Adaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition
Authors: Kyong I. Chang, KevinW. Bowyer, Patrick J. Flynn
Venue: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03 (2005)

We present a new algorithm for 3D face recognition, and compare its performance to that of previous approaches. We focus especially on the case of facial expression change between gallery and probe images. We first establish performance comparisons using a PCA ("eigenface") algorithm and an ICP (iterative closest point) algorithm similar to ones reported in the literature. Experimental results show that the performance of either approach degrades substantially in the case Then we introduce a new algorithm, Adaptive Rigid Multi-region Selection, is introduced to independently matches multiple facial regions and creates a fused result. This algorithm is fully automated and used no manually selected landmark points. Experimental results show that our new algorithm substantially improves performance in the case of varying facial expression. Our experimental results are based on the largest 3D face dataset to date, with 449 persons, over 4,000 3D images, and substantial lapse between gallery and probe images.
Capability-Development Return on Investment for the NASA Aeronautics Program
Authors: C. R. Weisbin, R. Manvi, K. E. Shelton, V. Adumitroaie, J. E. Derleth, A. Elfes
Venue: Proceedings of the 18th International Conference on Systems Engineering (2005)

As part of a multi-agency effort to improve America's air transportation system, NASA has undertaken a study to develop and demonstrate a systematic method for selecting capability investments based on their projected return on investment.
A PDA Client for the Computational Grid
Authors: John Brooke, Michael Parkin
Venue: Proceedings of the 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (2005)

Access to the Computational Grid is currently tied to the laptop/desktop environment since previous Grid client development has been concentrated in this area. This paper presents the design and implementation of a new lightweight Grid client that provides the same level of functionality and security as its desktop counterparts whilst conforming to the limitations and restrictions of a PDA Java runtime environment. This opens up a new area of Grid Computing access: secure and flexible job submission and monitoring to dependable, persistent, powerful and consistent computing services provided by a Grid has been freed from static environments into the mobile domain using standards-based platforms, protocols and components: J2ME, X.509 certificates, SSL connections and IEEE 802.11b wireless networking.
Computationally intensive statistical methods for choosing, assessing and validating statistical models describing genetic polymorphism, with applications in population genetics, phylogenetics and microbial ecology
Authors: Zaid Abdo
Venue:  (2005)

Bioinformatics and Computational Biology are newly developed, fast growing fields that are concerned with developing and implementing mathematical models, statistical methods, and computational tools in studying biological phenomena. Research introduced in this dissertation follows the guidelines of these new disciplines by focusing on developing, applying, and evaluating statistical methods to study biological data related to three important areas in the biological sciences: population genetics, systematic biology and microbial ecology. In Chapter I, in continuation to a research program of evaluation of population genetic methods using computer simulation&mdash;we examined the software MIGRATE-N 1.6.8 and tested its accuracy in estimating genetic diversity (&THgr;), migration rates, and confidence intervals. In Chapter II we extended Minin et al's (2003) decision theoretic (DT) approach to model selection in phylogenetic analysis (a subdiscipline of systematic biology) by relaxing its fixed topology restriction. We also relaxed the fixed topology restriction for other model selection methods associated with phylogenetic analysis (namely BIC and AIC). Performance of these methods was compared using simulated data. In Chapter III statistically based methods for processing Terminal Restriction Fragment Length Polymorphisms (T-RFLP) of 16S rRNA gene data were developed; reasonably objective approaches to estimate the number of clusters in cluster analysis associated with this kind of data were described; and sampling methods to choose representative microbial communities and representative samples from these communities to construct clone libraries were introduced. We, again, used simulated data to validate some of these methods. The T-RFLP of 16S rRNA genes technique is an important tool in microbial ecology that offers a means for rapid comparison of microbial communities to identify relationships and structure of these communities.
Control Flow Graph Reconstruction for Assembly Language Programs with Delayed Instructions
Authors: Nerina Bermudo, Andreas Krall, Nigel Horspool
Venue: Proceedings of the Fifth IEEE International Workshop on Source Code Analysis and Manipulation (2005)

Most software for embedded systems, including digital signal processing systems, is coded in assembly language. For both understanding the software and for reverse compiling it to a higher level language, we need to construct a control ?ow graph (CFG). However CFG construction is complicated by architectural features which include VLIW parallelism, predicated instructions and branches with delay slots. We describe an efficient algorithm for the construction of a CFG, where the parallelism has been eliminated, instructions are reordered and delay slots have been eliminated. The algorithm¿s effectiveness has been demonstrated by its use in a reverse compiler for the Texas Instruments C60 series of digital signal processors.
Adaptive Sleep Scheduling for Energy-efficient Movement-predicted Wireless Communication
Authors: Yu Dong, David K. Y. Yau
Venue: Proceedings of the 13TH IEEE International Conference on Network Protocols (2005)

Energy efficiency in network communication is critical for wirelessly connected small computing devices, which run on limited battery capacity. Under realistic movement scenarios (e.g., a person traveling at airplane, automobile, or biking speed), a mobile sender can track its own movement and postpone communication (subject to application deadline constraints) until it moves close to the communication target. This will save significant energy of sending, which grows superlinearly with the communication distance in, say, the single hop wireless context. However, movement tracking requires the mobile device to be turned on and hence consumes energy. Instead of continuous tracking, the mobile device should sample its movement and be allowed to sleep between the sampling instants (provided that the application also does not have work to do during the sleep). In this paper, we present an adaptive scheduler for determining an effective sampling schedule given changing operating conditions. Our experimental results show that the scheduler can achieve substantial energy savings over a device that is always on. Moreover, the scheduler¿s adaptivity allows it to outperform fixed sleep periods between tracking, since the "right" sleep period depends on dynamic system conditions and cannot be determined a priori.
MPEG-7 Compliant Shot Detection in Sport Videos
Authors: Costantino Grana, Giovanni Tardini, Rita Cucchiara
Venue: Proceedings of the Seventh IEEE International Symposium on Multimedia (2005)

In this paper we propose a system for automatic detection of shots in sport videos. Our work covers two main aspects: the first is robust shot detection in presence of fast object motion and camera operations. To this aim we propose a new algorithm, unique for both cuts and linear transitions detection, which only needs the tuning of two parameters. An extended comparison with four transition detection algorithms, representing the state of the art in literature, is reported. Examples with Formula 1, Basket, Soccer and Cycling videos are analyzed. The second aspect is an in depth discussion on the annotation of shots and transitions with the MPEG-7 standard.
QoS issues in the Research and Academic Networks: The case of GRNET
Authors: Christos Bouras, Anastasios Karaliotas, Michael Oikonomakos, Michael Paraskevas, Dimitris Primpas, Christos Sintoris
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

This paper describes the design and the implementation of QoS services in a high speed backbone network as well as a management tool for the service. The services were designed taking advantage of features provided by the MPLS technology and also by using the DiffServ architecture. The supported QoS services include the IP Premium that tries to provide zero packet loss as well as minimum delay and jitter and the Less Than Best Effort service. In addition we implemented a management tool for the service. The scope of this tool is to allow the users to manage their QoS requests (make a new one, edit, delete or view a request). Also the tool performs admission control and produces the necessary configuration that must be applied on the network in order to implement every service's request.
Meddling with Medusa: on genetic manipulation, art and animals
Authors: Lynda Birke
Venue: AI Society (2005)

Turning animals into art through genetic manipulation poses many questions for how we think about our relationship with other species. Here, I explore three rather disparate sets of issues. First, I ask to what extent the production of such living &#x201c;artforms&#x201d; really is as transgressive as advocates claim. Whether or not it counts as radical in terms of art I cannot say: but it is not at all radical, I argue, in terms of how we think about our human place in the world. On the contrary, producing these animals only reinforces our own sense of our importance. The second theme I explore is the extent to which making transgenic organisms for any purposes is radical in terms of complexity. Here, I focus on the idea of complexity as a concept in developmental biology; genetic manipulation may be successful to commercial companies, but it is deeply troubling to many biologists who consider that its deeply entrenched reductionism is enormously problematic. What risks do we run by ignoring nature&#x2019;s own complexity&#x2014;and creativity? And&#x2014;in particular&#x2014;what risks do we run of damaging or compromising animal welfare? The third theme turns to public perceptions of these new technologies (whether in science or art), and notes the extent of public unease. This unease is not simply a question of public ignorance about the technology, but reflects the enormously rich ways in which we make meanings about animals, and relate to them. These are, I suggest, a far more potent source of creativity than simply moving genes around to make photogenic animals.
A unified theory of timing budget management
Authors: S. Ghiasi, E. Bozorgzadeh, S. Choudhuri, M. Sarrafzadeh
Venue: Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design (2004)

This work presents a theoretical framework that optimally solves many open problems in time budgeting. Our approach unifies a large class of existing time-management paradigms. Examples include time budgeting for maximizing total weighted delay relaxation, minimizing the maximum relaxation and min-skew time budget distribution. We show that many of the time management problems can be transformed into a min-cost flow instance that can be optimally and efficiently solved through well-known combinatorial techniques. Experiments include mapping of several designs, which are implemented using parameterized CoreGen IP cores, on Xilinx FPGA devices. Different time budgeting policies have been applied during the mapping stage. Our time management techniques always improved the area requirement of the implemented testbenches compared to a widely-used path-based method. We also compared the maximum budgeting and fairness in delay budget assignments. Our experimental results show that an average improvement of 19% in area can be achieved when fairness and maximum budgeting policies are combined, compared to pure maximum budgeting.
Detection of Anchor Points for 3D Face Veri.cation
Authors: Dirk Colbry, George Stockman, Anil Jain
Venue: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03 (2005)

This paper outlines methods to detect key anchor points in 3D face scanner data. These anchor points can be used to estimate the pose and then match the test image to a 3D face model. We present two algorithms for detecting face anchor points in the context of face verification; One for frontal images and one for arbitrary pose. We achieve 99% success in finding anchor points in frontal images and 86% success in scans with large variations in pose and changes in expression. These results demonstrate the challenges in 3D face recognition under arbitrary pose and expression. We are currently working on robust ?tting algorithms to localize more precisely the anchor points for arbitrary pose images.
Expanding technology access for adults with developmental disabilities at F.E.G.S health & human services network
Authors: Emily Hacker
Venue: Issue 83 (September 2005) (2005)

New technologies that have become integrated into all facets of society present a multitude of challenges and opportunities for human services providers and the consumers they serve. The mission of F.E.G.S Health and Human Services System (F.E.G.S), has always been to help individuals reach their highest level of achievement, at work, at home, and in the community. To carry out this mission today requires setting new program goals to help reduce the digital divide for our consumers. F.E.G.S enters the 21 st Century committed to finding new ways of creating synergy between technology and health and human services to make sure the individuals we serve are able to be full participants in the digital age.
HiPoP: Highly Distributed Platform of Computing
Authors: Fabien HANTZ
Venue: Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services (2005)

HiPoP is a Peer-to-Peer Computing platform running in an heterogeneous environment, dedicated to perform applications such as task graphs. The main goal of this platform, contrary to many existing platform, is to provide easy to use tools permitting users who need computing power, to perform their parallel or partially parallelisable applications such as DAG. In addition to graphical tools helping users to conceive DAG to perform, the ease of use of the platform is reinforced because of the quasi non-existence of administration procedure. HiPoP is founded on a peer-to-peer architecture which gives it flexibility, extensibility and ease of deployment.
Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework
Authors: Chi-Ho Tsang, Sam Kwong, Hanli Wang
Venue: Proceedings of the Fifth IEEE International Conference on Data Mining (2005)

In this paper, we present a multi-objective genetic fuzzy system for anomaly intrusion detection. The proposed system extracts accurate and interpretable fuzzy rule-based knowledge from network data using an agent-based evolutionary computation framework. The experimental results on KDD-Cup99 intrusion detection benchmark data demonstrate that our system can achieve high detection rate for intrusion attacks and low false positive rate for normal network traffic.
Analyzing features for activity recognition
Authors: Tâm Huynh, Bernt Schiele
Venue: Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies (2005)

Human activity is one of the most important ingredients of context information. In wearable computing scenarios, activities such as walking, standing and sitting can be inferred from data provided by body-worn acceleration sensors. In such settings, most approaches use a single set of features, regardless of which activity to be recognized. In this paper we show that recognition rates can be improved by careful selection of individual features for each activity. We present a systematic analysis of features computed from a real-world data set and show how the choice of feature and the window length over which the feature is computed affects the recognition rates for different activities. Finally, we give a recommendation of suitable features and window lengths for a set of common activities.
New techniques for improving biological data quality through information integration
Authors: Jason T. Wang
Venue:  (2004)

As databases become more pervasive through the biological sciences, various data quality concerns are emerging. Biological databases tend to develop data quality issues regarding data legacy, data uniformity and data duplication. Due to the nature of this data, each of these problems is non-trivial and can cause many problems for the database. For biological data to be corrected and standardized, methods and frameworks must be developed to handle both structural and traditional data. The BIO-AJAX framework has been developed for solving these problems through both data cleaning and data integration. This framework exploits declarative data cleaning and exploratory data mining to help improve biological data quality. Within the framework, the problems and difficulties for cleaning biological data are discussed, specifically concerning phylogenetic data. Subsequently, it is demonstrated how BIO-AJAX can be used to improve the quality of the data in phylogeny. Moreover, within the cleaning architecture, data integration plays a key role in improving data quality. Data integration, due to the distributed and heterogeneous nature of the data sets becomes an enabling technology for improving data quality. From these concepts, two tools have been built, BIO-AJAX for TreeBASE and BIO-AJAX for Lineage Paths. Each system approaches the data quality problem using the conceptual BIO-AJAX framework while implementing different methods working within the framework to improve the data quality.
Second-Order Semantic Web
Authors: Tiziana Margaria, Bernhard Steffen
Venue: Proceedings of the 29th Annual IEEE/NASA on Software Engineering Workshop (2005)

We propose a framework for top-down Web Service interoperation based on an aggressive version of modeldriven development (AMDD). The point here is to govern the construction and customization of complex Web Applications at the model level in a framework that allows application experts to directly formulate their desires in an adequate way. Adequate means in this context that applications can be automatically validated, executed, tested, and deployed by the application experts, inside a framework that takes care also of second-order concerns. Our approach, which focusses on functionalities as the basic entities of the design space is tailored to make second order issues like interoperation, distribution, and compatibility simple for the many, difficult for the few: simple for the many, as the advocated approach hides most of the intricate secondorder issues from the application designer, and difficult for the few, as these issues must be dealt with by means of complex compilation, synthesis or technology mappings. Our experience indicates that this approach has the potential to cover and thereby drastically simplify the bulk of modern Web application development and customization.
Modular Architecture for System-on-Chip Design of Scalable MEMS Optical Switch Actuator Controller
Authors: Xiqun Zhu, Yuan Ma
Venue: Proceedings of the Fifth International Workshop on System-on-Chip for Real-Time Applications (2005)

In this paper, a modular architecture for system-on-chip design of scalable embedded MEMS actuator controller is presented. It addresses the contradiction between often large and expanding system function requirements and limited system resources, and provides a system level solution to solve this contradiction. A design methodology is developed to break the system function into multiple self-contained modules in case the above contradiction can not be solved in single chip design. A simple adaptive inter-modules/chip communications protocol is presented to maintain system integrity when modules/chips are added or removed.
Experiences in driving a cave with IBM scalable graphics engine-3 (SGE-3) prototypes
Authors: Prabhat, Samuel G. Fulcomer
Venue: Proceedings of the ACM symposium on Virtual reality software and technology (2005)

The IBM Scalable Graphics Engine-3 (SGE-3) prototype is a network attached framebuffer. In its application at Brown, it is a pixel compositor for distributed rendering and a video source for frame-sequential stereo display in a four-wall CAVE™ -like display, a TAN VR-Cube. The configuration uses 4 SGE-3 prototype units (one per display wall) and 48 rendering nodes (12 per display wall; 6 per stereo field). With favorable rendering distribution, achieved performance per 12-node wall has been up to five times that of a single graphics card. This report provides details of the cluster systems architecture and the performance characteristics of the SGE-3 and sample test applications.