ppxscal/embedding_network huggingface dataset:
Research of Multivariable GPC and Its Application in Thermal Power Plant
Authors: Peng Guo
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

GPC (Generalized Predictive Control) is widely used in the control of plant with inertia and delay. This paper proposes feed-forward and feedback GPC in the control of MIMO system. The coupling is treated as knowable exterior disturbance and considered during the designing process of GPC controllers. With structure analysis, the new controller is equivalent to feed-forward and feedback control system. But the new GPC controller has the merits of rolling optimization and without tuning parameters. The new method is introduced into the control of 300MW unit load system which is a 2.. 2 multivariable system. Simulations prove that the new method could meet the requirements of quick load response ability and maintaining the stability of steam pressure. The robustness of the new method is also satisfactory.
Rule sets based bilevel decision model
Authors: Z. Zheng, G. Zhang, Q. He, J. Lu, Z. Shi
Venue: Proceedings of the 29th Australasian Computer Science Conference - Volume 48 (2006)

Bilevel decision addresses the problem in which two levels of decision makers, each tries to optimize their individual objectives under constraints, act and react in an uncooperative, sequential manner. Such a bilevel optimization structure appears naturally in many aspects of planning, management and policy making. However, bilevel decision making may involve many uncertain factors in a real world problem. Therefore it is hard to determine the objective functions and constraints of the leader and the follower when build a bilevel decision model. To deal with this issue, this study explores the use of rule sets to format a bilevel decision problem by establishing a rule sets based model. After develop a method to construct a rule sets based bilevel model of a real-world problem, an example to illustrate the construction process is presented.
Enhanced Demand-driven Service Differentiation Algorithm in Web Clusters
Authors: Xiaochang Wu, Mingshi Li, Jianxin Wu
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

The e-commerce applications based on Web cluster are expected to provide differentiated services to different users. The latest proposed DDSD (Demanddriven Service Differentiation) algorithm for Web cluster was QoS-aware. It used M/M/1 queuing system to model single back-end Web server node. But many works show that the service time of Web server can be represented by independently and identically distributed random variables. The M/G/1 queuing model is inherently more adaptive than M/M/1 model on describing the service time of Web server. In this paper, DDSD is enhanced with M/G/1 to model the Web cluster. The Web system resource planning can be characterized as a constrained optimization problem. The scheme is proposed to solve the issues of parameter measurement, weight adjusting, admission control and request dispatching for the algorithm.
Modeling the Health of Refugee Camps: An Agent-Based Computational Approach
Authors: James Anderson, Alok Chaturvedi, Mike Cibulskis
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

This paper reports the construction of an agentbased model that has been used to study humanitarian assistance policies executed by governments and non-governmental organizations (NGOs) in a synthetic environment. We create intelligent agents representing institutions, organizations, individuals, infrastructure, and governments. The resulting interactions and emergent behaviors are analyzed using a central composite design of experiments with five factors. The results indicate that the introduction of actions on NGOs leads to a change in the peripheral/regional environment and refugee wellbeing. This is due to the changes produced in refugees' perception of basic needs, social needs, and security, as well as the fluctuations in the supply of medical and personnel resources.
A New Approach to Information Exchange within Public Registries Based on RosettaNet Standards
Authors: Konrad Fuks, Waldemar Wieczerzycki
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

Small and medium enterprises (SMEs) frequently face big difficulties in joining e-commerce B2B networks. Often this is due to high entry costs and/or IT infrastructure requirements. The main contribution of the work presented in this paper is a new approach to RosettaNet B2B standards for SMEs. Our work is concentrated on information exchange model within so called Public Registries based on RosettaNet specifications. Registries built basing on the presented model can be used as a background for conducting B2B over Internet and building electronically managed supply chains or networks.
The global forest CD-ROM children's investigations of a Canadian rain forest
Authors: Ricki Goldman-Segall, Lawrence Halff
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

The Global Forest is a CD-ROM designed for young people in dispersed locations to explore issues surrounding an endangered rain forest on the west coast of Vancouver Island called Clayoquot (Klak-wit) Sound. There are five ways to enter the story and then there are paths that enable the user to follow stories that exist in a database. However, the user can create her own paths and "markers" attaching data-files that "live" anywhere on her computer, including URL sites. These questions are:1. What's the story? How do we find out about our environment? EPISTEMOLOGY2. How did it start? How do we learn from our past? HISTORY3. Who really cares? How do we value different points of view? SOCIOLOGY & ANTHROPOLOGY4. What can we do? How do we change? INFLUENCE OF CHANGE5. Whose story is this? How do we understand media? ROLE OF MEDIA
A Data Centric approach for Workflows
Authors: A. Akram, J Kewley, R. Allan
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

The complexity, unpredictability and inter-dependency of the components in a workflow often demand thorough planning at the design level. In this paper we propose a Data-Centric approach to instantiate, monitor and manage complex workflows. We believe a culture change in the orchestration of services is required to consider their data dependency while modelling workflows. The current process or activity oriented mechanism, utilized in the existing workflow technologies, failed to live up to expectations mainly due to data issues at later stages.
Rapid Signer Adaptation for Isolated Sign Language Recognition
Authors: Ulrich von Agris, Daniel Schneider, Jorg Zieren, Karl-Friedrich Kraiss
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Research in the field of sign language recognition has not yet addressed the problem of interpersonal variance in large vocabulary on the classification level. Current recognition systems are designed for signer-dependent operation. Applied to signer-independent tasks, they show poor performance even when increasing the number of training signers. Better results can be achieved with dedicated adaptation methods. This paper describes a vision-based recognition system that quickly adapts to unknown signers. A combination of Maximum Likelihood Linear Regression and Maximum A Posteriori estimation was implemented and modified to consider the specifics of sign languages, such as one-handed signs. An extensive evaluation was performed in supervised and unsupervised mode on a vocabulary of 153 isolated signs. The proposed adaptation approach significantly increases accuracy even with a small amount of adaptation data. Supervised adaptation with 80 adaptation sequences yields a recognition accuracy of 78.6%, which is a relative improvement of 41.6% compared to the signerindependent baseline.
Robotics In Mixed-Reality Training Simulations: Augmenting STEM Learning
Authors: Jayfus T. Doswell, Pauline H. Mosley
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Problem Solving Using LEGOS is a 3-credit hour course offered to any student at Pace University of Pleasantville, New York. The class uses a projectbased learning environment, which consists of four design projects. This paper discusses the pedagogical advantages of teaching robotics in a mixed-reality environment with a virtual instructor as opposed to teaching robotics in a traditional laboratory setting. The implication of this learning intervention is the personalized and immersive learning experience that has the potential for strengthening problem solving skills using science, technology, engineering, and math (STEM) for life-long STEM proficiency.
Buckling and wrinkling of prestressed membranes
Authors: Adama Diaby, Anh Le van, Christian Wielgosz
Venue: Finite Elements in Analysis and Design (2006)

This paper deals with the numerical computation of buckles and wrinkles appearing in membrane structures by means of the total Lagrangian formulation, using genuine membrane finite elements (with zero bending stiffness) and a prestressed hyperelastic constitutive law. The bifurcation analysis is carried out without assuming any imperfections in the structure. The standard arclength method is modified by means of a specific solution procedure to cope with the occurrence of complex roots when solving the quadratic constraint equation. Applying the proposed formulation to a set of typical numerical examples shows its ability to correctly predict the wrinkling and buckling behaviour in membrane structures.
Verified Interoperable Implementations of Security Protocols
Authors: Karthikeyan Bhargavan, Cedric Fournet, Andrew D. Gordon, Stephen Tse
Venue: Proceedings of the 19th IEEE workshop on Computer Security Foundations (2006)

We present an architecture and tools for verifying implementations of security protocols. Our implementations can run with both concrete and symbolic implementations of cryptographic algorithms. The concrete implementation is for production and interoperability testing. The symbolic implementation is for debugging and formal verification. We develop our approach for protocols written in F#, a dialect of ML, and verify them by compilation to ProVerif, a resolution-based theorem prover for cryptographic protocols. We establish the correctness of this compilation scheme, and we illustrate our approach with protocols for Web Services security.
A UML Profile utilizing Enterprise Information System Configuration
Authors: M. Nikolaidou, A. Tsadimas, N. Alexopoulou, A. Dais, D. Anagnostopoulos
Venue: Proceedings of the 11th IEEE International Conference on Engineering of Complex Computer Systems (2006)

Enterprise information system configuration is a complex process dealing with interrelated issues. A four-stage methodology has been proposed in order to effectively explore configuration issues. The main advantage of the proposed methodology is the adoption of a common meta-model for the representation of systems throughout all configuration stages, ensuring interoperability and model consistency. In practice, configuration stages are supported by automated or semiautomated tools, each of which adopts its own meta-model for system representation. In order to apply the methodology using existing autonomous tools, model exchangeability (thus metamodel transformation) and tool co-ordination must be facilitated by standard, open methods. Thus, the common meta-model is implemented in a standard, exchangeable format, as XML. To provide a standard method to visualize the common meta-model, facilitate the designer to interact with it and co-ordinate specific tool invocation, a UML 2.0 profile was defined. Different UML 2.0 diagrams are integrated to support different views of the system. The representation of relationships and restrictions among discrete meta-model entities must be facilitated to identify and explore the dependencies between configuration stages. Constraints are extensively used for this purpose. A case study where the proposed profile utilized the configuration of a large-scale banking system is also presented.
Atomic and electronic structures of amorphous ZrO2 and HfO2 films
Authors: Vladimir Gritsenko, Daryja Gritsenko, Sergei Shaimeev, Vladimir Aliev, Kamil Nasyrov, Simon Erenburg, Vladimir Tapilin, Hei Wong, M. C. Poon, J. H. Lee, J. -W. Lee, C. W. Kim
Venue: Microelectronic Engineering (2005)

Atomic and electronic structures of ZrO"2 and HfO"2 films deposited using sputtering technique were studied by X-ray diffraction (XRD), EXAFS spectroscopy, photoemission (with X-ray and ultraviolet excitation sources) and electron energy loss spectroscopy (EELS). XRD results indicated that the as-deposited films were amorphous and a monoclinic phase was detected after annealing them in ambient at 800^oC. Photoemission results indicated that the ZrO"2 valence band consists of two bands separated by an ionic gap of 6eV. The lower band of 10eV width is occupied mainly by O 2s states. EELS results indicated that the bandgap of ZrO"2 and HfO"2 films are 4.7 and 5.7eV, respectively. ectively.
Can Indian Software Firms Compete with the Global Giants?
Authors: Prabhudev Konana
Venue: Computer (2006)

The Indian IT services industry faces dramatic changes, challenges, and constraints as it uses the global delivery model to transform itself to a knowledge leader competing with established global giants.
Novel reconfigurable computing architectures for embedded high performance signal processing and numerical applications
Authors: Dennis Prather
Venue:  (2006)

Field-Programmable Gate Arrays (FPGAs) have a unique feature set that enables them to be adapted to virtually any computational problem. Among their advantages are flexibility, I/O bandwidth, and computational power. Using this technology, I have developed FPGA-based architectures for a variety of computationally intensive problems. This research has enabled portable, low power, small form factor, and high throughput coprocessors for a variety of computationally intense tasks. Applications discussed include electromagnetic simulation, synthetic aperture radar imaging, and real-time compensation for atmospheric effects in long-range imaging. Some of these applications were previously unfeasible in portable systems, due to power and size constraints, while others had software implementations too slow to be of practical use. Combining reconfigurable technology and the techniques described in this document, these problems can now be solved. I begin with a description of the basic building blocks for these architectures, including floating-point arithmetic, trigonometric, and exponential units, as well as memory and communication controllers. Next, each of the architectural designs is presented in detail, including a discussion on the speedup associated with them. Finally, predictions will be given for how the field of reconfigurable computing will evolve in the coming years.
Hacking Tricks Toward Security on Network Environments
Authors: Tzer-Shyong Chen, Fuh-Gwo Jeng, Yu-Chia Liu
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

Mounting popularity of the Internet has led to the birth of Instant Messaging, an up-and-coming form of Internet communication. Instant Messaging is very popular with businesses and individuals since it has instant communication ability. As a result, Internet security has become a pressing and important topic for discussion. Therefore, in recent years, a lot of attention has been drawn towards Internet security and the various attacks carried out by hackers over the Internet. People today often handle affairs via the Internet. For instance, instead of the conventional letter, they communicate with others by e-mails; they chat with friends through an instant messenger; find information by browsing websites instead of going to the library; perform e-commerce transactions through the Internet, etc. Although the convenience of the Internet makes our life easier, it is also a threat to Internet security. For instance, a business email intercepted during its transmission may let slip business confidentiality; file transfers via instant messengers may also be intercepted, and then implanted with backdoor malwares; conversations via instant messengers could be eavesdropped. Furthermore, ID and password theft may lose us money when using Internet bank service. Attackers on the Internet use hacking tricks to damage systems while users are connected to the Internet. These threats along with possible careless disclosure of business information make Instant Messaging a very unsafe method of communication for businesses. The paper divides hacking tricks into three categories: (1) Trojan programs that share files via instant messenger. (2) Phishing or fraud via e-mails. (3) Fake Websites.
Two simulated annealing algorithms for noisy objective functions
Authors: Andrei A. Prudius, Sigrún Andradóttir
Venue: Proceedings of the 37th conference on Winter simulation (2005)

We present two new variants of the simulated annealing algorithm (with a decreasing cooling schedule) that are designed for solving discrete simulation optimization problems. We also provide conditions under which our methods converge almost surely to the set of global optimal solutions, discuss the implications of our results for both transient and steady-state simulations, and provide some numerical results.
The road towards multi-hypothesis intention simulation agents architecture fractal information fusion modeling
Authors: Per M. Gustavsson, Tomas Planstedt
Venue: Proceedings of the 37th conference on Winter simulation (2005)

This paper presents the road towards Multi-Hypothesis Intention Simulation Agents Architecture and is focused on the Fractal Information Fusion model (FIF) that are formed to support a systems-thinking in an agent architecture that aligns with the Global information Grid, NATO Net Enabled Capabilities and Swedish Armed Force Enterprise Architecture initiatives. The Joint Directors of Laboratories information fusion model and the Observe, Orient, Decide, Act loop by John Boyd is combined and used as the foundation together with the Knowledge Model, Level of Conceptual Interoperability shaping the FIF-model. The FIF-model's effect in shaping of the Multi-Hypothesis Intention Simulation Agents Architecture is presented.
Proof of concept of an RFID-enabled supply chain in a B2B e-commerce environment
Authors: Ygal Bendavid, Samuel Fosso Wamba, Louis A. Lefebvre
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

Based on a field study conducted in the utility industry, this paper examines the impacts and potential benefits generated by an RFID application in one specific supply chain. Through a detailed investigation of the underlying business processes, we demonstrate how process optimization can be achieved when integrating RFID technology into information systems applications. A proof of concept (POC) is also conducted in laboratory settings to demonstrate the feasibility of the proposed scenarios.
Automatic and Controlled Processing of Melodic Contour and Interval Information Measured by Electrical Brain Activity
Authors: Laurel J. Trainor, Kelly L. McDonald, Claude Alain
Venue: Journal of Cognitive Neuroscience (2002)

Most work on how pitch is encoded in the auditory cortex has focused on tonotopic (absolute) pitch maps. However, melodic information is thought to be encoded in the brain in two different "relative pitch" forms, a domain-general contour code (up/down pattern of pitch changes) and a music-specific interval code (exact pitch distances between notes). Event-related potentials were analyzed in nonmusicians from both passive and active oddball tasks where either the contour or the interval of melody-final notes was occasionally altered. The occasional deviant notes generated a right frontal positivity peaking around 350 msec and a central parietal P3b peaking around 580 msec that were present only when participants focused their attention on the auditory stimuli. Both types of melodic information were encoded automatically in the absence of absolute pitch cues, as indexed by a mismatch negativity wave recorded during the passive conditions. The results indicate that even in the absence of musical training, the brain is set up to automatically encode music-specific melodic information, even when absolute pitch information is not available.
Discrete total variation calculus and Lee's discrete mechanics
Authors: Jing-Bo Chen, Han-Ying Guo, Ke Wu
Venue: Applied Mathematics and Computation (2006)

A discrete total variation calculus is presented in this paper. Using this calculus, we prove that the solution of the system of difference equations in Lee's discrete mechanics preserves a symplectic structure in the space-time sense. Numerical experiments are also reported.
Clustering based large margin classification: a scalable approach using SOCP formulation
Authors: J. Saketha Nath, C. Bhattacharyya, M. N. Murty
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture distributions, where each component of the mixture has a spherical covariance, the second order statistics of the components can be estimated efficiently using clustering algorithms like BIRCH. For each cluster, the second order moments are used to derive a second order cone constraint via a Chebyshev-Cantelli inequality. This constraint ensures that any data point in the cluster is classified correctly with a high probability. This leads to a large margin SOCP formulation whose size depends on the number of clusters rather than the number of training data points. Hence, the proposed formulation scales well for large datasets when compared to the state-of-the-art classifiers, Support Vector Machines (SVMs). Experiments on real world and synthetic datasets show that the proposed algorithm outperforms SVM solvers in terms of training time and achieves similar accuracies.
A Relationship between e-Learning Performance and Personality
Authors: Amal Al-Dujaily, Hokyoung Ryu
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper investigated whether learner's personality might have effects on uses of Web-based Hypermedia Systems, which have been used in most electronic learning (e-Learning) environments. The results of this paper implied that personality features of individual learners would dictate the usefulness of adaptive hypermedia systems (AHSs), and in turn, it indicates that the evaluation of e-Learning systems should embody this account for an effective design of AHSs.