ppxscal/embedding_network huggingface dataset:
A Conceptual Framework for Product Lifecycle Modeling
Authors: Wenlei Zhang, Yushun Fan
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Product lifecycle management (PLM) is a concept that aims at integrating the various processes and phases involved during a typical product lifecycle for the extended enterprise. In order to maintain the integrity of product definition data throughout the life of the product, and to manage business processes used to create, manage, disseminate, share and use the information, this paper firstly explores the connotations of PLM; then presents a conceptual modeling framework including four-tier architecture; further models product lifecycle in the phases of requirement analysis, conceptual design, engineering design, manufacturing and services; and finally proposes an integration framework to support interoperability of distributed product data sources.
PD Control of robot with velocity estimation and uncertainties compensation
Authors: W. Yu, X. Li
Venue: International Journal of Robotics and Automation (2006)

Normal industrial PD control of Robot has two drawbacks: it needs joint velocity sensors, and it cannot guarantee zero steady-state error. In this paper we make two modifications to overcome these problems. High-gain observer is applied to estimate the joint velocities, and an RBF neural network is used to compensate gravity and friction. We give a new proof for high-gain observer, which explains a direct relation between observer gain and observer error. Based on Lyapunov-like analysis, we also prove the stability of the closed-loop system if the weights of RBF neural networks have certain learning rules and the observer is fast enough.
Combining passive haptics with redirected walking
Authors: Luv Kohli, Eric Burns, Dorian Miller, Henry Fuchs
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

Two large problems faced by virtual environment designers are lack of haptic feedback and constraints imposed by limited tracker space. Passive haptic feedback has been used effectively to provide a sense of touch to users (Insko, et al., 2001). Redirected walking is a promising solution to the problem of limited tracker space (Razzaque, et al., 2001). However, these solutions to these two problems are typically mutually exclusive because their requirements conflict with one another. We introduce a method by which they can be combined to address both problems simultaneously.
Automatic parameter selection for a k-segments algorithm for computing principal curves
Authors: Haonan Wang, Thomas C. M. Lee
Venue: Pattern Recognition Letters (2006)

This paper studies the k-segments algorithm proposed by Verbeek et al. [Verbeek, J.J., Vlassis, N., Krose, B., 2002. A k-segments algorithm for finding principal curves, Pattern Recognition Lett. 23, 1009-1017] for computing principal curves. In particular an automatic method for choosing the ''free'' parameters in this k-segments algorithm is proposed. Experimental results are provided to demonstrate the performance of this proposed method.
Developing safety-critical systems: the role of formal methods and tools
Authors: Constance Heitmeyer
Venue: Proceedings of the 10th Australian workshop on Safety critical systems and software - Volume 55 (2006)

In recent years, many formal methods have been proposed to improve the quality of safety-critical software systems. These methods include new specification and modeling languages as well as formal verification techniques, such as model checking and theorem proving. This paper describes numerous ways in which tools supporting formal methods can improve the quality of both software code as well as software specifications and models. However, while promising, formal methods and their support tools are rarely used in software practice. To overcome this problem, I propose several needed improvements, which could lead to more widespread use of formal methods in the development of safety-critical systems and software.
Kernel-SOM Based Visualization of Financial Time Series Forecasting
Authors: Dong-Jun Yu, Yong Qi, Yong-Hong Xu, Jing-Yu Yang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

Visualizing the forecasting results of financial time series will provide significant convenience to the user. In this paper, the disadvantages of the traditional SOM for the visualization of financial time series forecasting are discussed first and then the Kernel-SOM is proposed for better visualization performance. Experimental results demonstrated that compared with the traditional SOM, Kernel-SOM is more suitable for the visualization of financial time series forecasting.
Optimization of Soft Morphological Filter based on Tabu Search
Authors: Chun-hui Zhao, Gang-jian Liang, Hai-chun Ning
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Soft morphological filtering is an important nonlinear filtering method, especially in the field of digital image processing is widely applied. The operation of soft morphological filter can be divided into two basic problems that include morphological operation and structuring system (SS) selection. The rules for morphological operations are predefined so the filter's properties depend merely on the selection of SS. The paper optimizes structuring system of soft morphological filter based on tabu search algorithm. By the means of optimizing training, structuring system possesses the shape and structural characteristics of images; the compositions of hard center, soft boundary and repetition parameter are automatically adjusted. A soft morphological filter that provides good filtering result to images with complex noise can be realized. The simulation experiments show that optimized soft morphological filters are highly improved.
Public Ubiquitous Computing Systems: Lessons from the e-Campus Display Deployments
Authors: Oliver Storz, Adrian Friday, Nigel Davies, Joe Finney, Corina Sas, Jennifer Sheridan
Venue: IEEE Pervasive Computing (2006)

In this paper, the authors reflect on their experiences of deploying ubiquitous computing systems in public spaces and present a series of lessons that they feel will be of benefit to researchers planning similar public deployments. They focus on experiences gained from building and deploying three experimental public display systems as part of the e-Campus project. However, they believe the lessons are likely to be generally applicable to many different types of public ubicomp deployment. This article is part of a special issue on Real-World Deployments.
Domain Based Access Control Model for Distributed Collaborative Applications
Authors: Yuri Demchenko, Cees de Laat, Leon Gommans, Rene van Buuren
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

This paper describes the design and development of a flexible domain-based access control infrastructure for distributed Collaborative Environments. The paper proposes extensions to classical RBAC models to address typical problems and tasks in the distributed hierarchical resource organisation that came from the practical experience in developing industry oriented virtual laboratories infrastructure, particular: hierarchical resources policy administration, user roles management, dynamic security context and authorisation session management. The paper provides implementation details on the use of XACML for finegrained access control policy definition for domain based resources and roles organisation. The paper analyses the required functionality and suggests extensions to the major service-oriented access generic framework such as Acegi, Globus Toolkit Authorisation framework, and GAAA Authorisation framework in order to support complex resource organisation and collaboration scenarios in dynamic virtualised environments. The paper is based on experiences gained from the industry funded project Collaboratory.nl and other major Grid-based and Grid-oriented projects in collaborative applications and complex resource provisioning.
ε-Sparse representations: generalized sparse approximation and the equivalent family of SVM tasks
Authors: Zoltán Szabó, András Lörincz
Venue: Acta Cybernetica (2006)

Relation between a family of generalized Support Vector Machine (SVM) problems and the novel ε-sparse representation is provided. In defining ε-sparse representations, we use a natural generalization of the classical ε-insensitive cost function for vectors. The insensitive parameter of the SVM problem is transformed into component-wise insensitivity and thus overall sparsification is replaced by component-wise sparsification. The connection between these two problems is built through the generalized Moore-Penrose inverse of the Gram matrix associated to the kernel.
Sufficient Global Optimality Conditions for Non-convex Quadratic Minimization Problems With Box Constraints
Authors: V. Jeyakumar, A. M. Rubinov, Z. Y. Wu
Venue: Journal of Global Optimization (2006)

In this paper we establish conditions which ensure that a feasible point is a global minimizer of a quadratic minimization problem subject to box constraints or binary constraints. In particular, we show that our conditions provide a complete characterization of global optimality for non-convex weighted least squares minimization problems. We present a new approach which makes use of a global subdifferential. It is formed by a set of functions which are not necessarily linear functions, and it enjoys explicit descriptions for quadratic functions. We also provide numerical examples to illustrate our optimality conditions.
Exploring the impact of RFID on supply chain dynamics
Authors: Young M. Lee, Feng Cheng, Ying Tat Leung
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Radio-frequency identification (RFID) as an emerging technology has generated enormous amount of interest in the supply chain arena. With RFID technology, inventory can be tracked more accurately in real time resulting in reduced processing time and labor. More significantly, the complete visibility of accurate inventory data throughout the entire supply chain, from manufacturer's shop floor to warehouses to retail stores, brings opportunities for improvement and transformation in various processes of the supply chain. We developed a simulation model to study how RFID can improve supply chain performance by modeling the impact of RFID technology in a manufacturer-retailer supply chain environment. Our study provides a quantitative analysis to demonstrate the potential benefits of RFID in inventory reduction and service level improvement.
Subspace methods for the blind identification of multichannel FIR filters
Authors: E. Moulines, P. Duhamel, J. Cardoso, S. Mayrargue
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

A class of methods for identifying a single input/multiple output finite impulse response system (SIMO-FIR), from the outputs of the system only is presented. These methods rely on a minimal parametric representation of the system solution. They are based on the orthogonality between a 'signal' and a 'noise' subspaces. This is exploited to build quadratic forms whose minimization yields the desired estimates up to a scale factor. It is shown (by numerical simulations) that these methods provide significantly better (in terms of bias and variance) estimates than the method by Tong et al. (1991), while requiring about one half the number of computations. They are thus very attractive for applications, in particular, for narrowband TDMA channel equalization.
Influence of injection level of charge carriers in nanostructured porous silicon on electroluminescence quantum efficiency
Authors: D. F. Timokhov, F. P. Timokhov
Venue: Microelectronic Engineering (2005)

This paper will investigate the electroluminescence characteristics of Al/porous silicon/monocrystalline silicon/Al sandwich-structures (Al/PS-(c-Si)/Al) prepared on a base of nanostructured porous silicon by the method of electrochemical anodization of monocrystalline silicon wafers are reported. It will be concerned with the light emission mechanism of Al/PS-(c-Si)/Al sandwich-structures at double injection of charge carriers.
System Call Monitoring Using Authenticated System Calls
Authors: Mohan Rajagopalan, Matti A. Hiltunen, Trevor Jim Richard D. Schlichting
Venue: IEEE Transactions on Dependable and Secure Computing (2006)

System call monitoring is a technique for detecting and controlling compromised applications by checking at runtime that each system call conforms to a policy that specifies the program's normal behavior. Here, we introduce a new approach to implementing system call monitoring based on authenticated system calls. An authenticated system call is a system call augmented with extra arguments that specify the policy for that call, and a cryptographic message authentication code that guarantees the integrity of the policy and the system call arguments. This extra information is used by the kernel to verify the system call. The version of the application in which regular system calls have been replaced by authenticated calls is generated automatically by an installer program that reads the application binary, uses static analysis to generate policies, and then rewrites the binary with the authenticated calls. This paper presents the approach, describes a prototype implementation based on Linux and the Plto binary rewriting system, and gives experimental results suggesting that the approach is effective in protecting against compromised applications at modest cost.
A Context-Aware AmI System Based on MAS Model
Authors: Yong Zhang, Yibin Hou, Zhangqin Huang, Hui Li, Rui Chen
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

Ambient Intelligence (AmI) is an internationally emerging research field of IT domain. The conception of AmI and its features are discussed in this paper firstly, and we discuss an intelligent context-aware application in order to study the framework of AmI application more deeply. The fundamental model of this context-aware AmI application system based on Multi-Agent architecture is expounded particularly. Furthermore, the skeleton structure of these system agents and their collaboration mechanism would be also expounded clearly.
A machine transliteration model based on correspondence between graphemes and phonemes
Authors: Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara
Venue: ACM Transactions on Asian Language Information Processing (TALIP) (2006)

Machine transliteration is an automatic method for converting words in one language into phonetically equivalent ones in another language. There has been growing interest in the use of machine transliteration to assist machine translation and information retrieval. Three types of machine transliteration models---grapheme-based, phoneme-based, and hybrid---have been proposed. Surprisingly, there have been few reports of efforts to utilize the correspondence between source graphemes and source phonemes, although this correspondence plays an important role in machine transliteration. Furthermore, little work has been reported on ways to dynamically handle source graphemes and phonemes. In this paper, we propose a transliteration model that dynamically uses both graphemes and phonemes, particularly the correspondence between them. With this model, we have achieved better performance---improvements of about 15 to 41&percnt; in English-to-Korean transliteration and about 16 to 44&percnt; in English-to-Japanese transliteration---than has been reported for other models.
3D Surface Matching and Recognition Using Conformal Geometry
Authors: Sen Wang, Yang Wang, Miao Jin, Xianfeng Gu, Dimitris Samaras
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

3D surface matching is a fundamental issue in computer vision with many applications such as shape registration, 3D object recognition and classification. However, surface matching with noise, occlusion and clutter is a challenging problem. In this paper, we analyze a family of conformal geometric maps including harmonic maps, conformal maps and least squares conformal maps with regards to 3D surface matching. As a result, we propose a novel and computationally efficient surface matching framework that uses least squares conformal maps. According to conformal geometry theory, each 3D surface with disk topology can be mapped to a 2D domain through a global optimization and the resulting map is a diffeomorphism, i.e., one-to-one and onto. This allows us to simplify the 3D surface-matching problem to a 2D image-matching problem, by comparing the resulting 2D conformal geometric maps, which are stable, insensitive to resolution changes and robust to occlusion and noise. Therefore, highly accurate and efficient 3D surface matching algorithms can be achieved by using conformal geometric maps. Finally, the performance of conformal geometric maps is evaluated and analyzed comprehensively in 3D surface matching with occlusion, noise and resolution variation. We also provide a series of experiments on real 3D face data that achieve high recognition rates.
An Experiment on Skill Degradation and Recovery for Safe MSS Operations
Authors: Michel Doyon
Venue: Proceedings of the 2nd IEEE International Conference on Space Mission Challenges for Information Technology (2006)

SMP is a research project to study how skills degrade and recovery. The operation of the wide variety of manned and unmanned space vehicles and their associated supporting docking and robotics systems calls for demanding training of crews both on ground and on orbit. Crew must achieve and maintain proficiency in these complex skills. Failure to maintain critical skill proficiency places the lives of the Crew and the various space assets at significant risk. Canada has a significant investment in space activity via our contribution of Astronauts and robotics hardware and software. Skills degrade over time and the frequency and depth of proficiency and refresher training to keep crew proficient needs to be studied.
Supervised Robustly Feasible Soft Switching Model Predictive Control with Polytopic Uncertainty
Authors: Jingsong Wang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

In operational control of complex systems control objectives often change with operating conditions, which calls for multiple control strategies each of them being best fit into specific operating scenarios and then it is inevitable to switch among these control strategies. The traditional hard switching of predictive control strategies may cause unwanted transients and more importantly it may not be feasible in the presence of output/state and control constraints. In this paper, a soft switching scheme based on invariant set theory is proposed for a class of linear system with polytopic uncertainty in order to not only improve the switching transients but also overcome the infeasibility problem of hard switching. Simulation results show that the proposed methods can be useful in real applications.
Input modeling using quantile statistical methods
Authors: Abhishek Gupta, Emanuel Parzen
Venue: Proceedings of the 36th conference on Winter simulation (2004)

This paper applies quantile data analysis to input modeling in simulation. We introduce the use of Q I Q plots to identify suitable distributions fitting the data and comparison distribution P-P plots to test the fit. Two examples illustrate the utility of these quantile statistical methods for input modeling. Popular distribution fitting software often give confusing results, which is usually a set of distributions differing marginally in the test statistic value. The methods discussed in this paper can be used for further analysis of the software results.
Simulation modelling for performance measurement in healthcare
Authors: Murat M. Gunal, Michael Pidd
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Discrete event simulation is widely used to model healthcare systems with a view to their improvement. Most applications focus on discrete aspects of healthcare, such as accident and emergency rooms or outpatient clinics. However, despite this success with simulation at an operational level, there are no reported uses of discrete event simulation for the development and improvement of health policy. We describe the development of such a policy-oriented model, aimed at improving performance assessment in the UK National Health Service.
Integrating Confidence in Electronic Negotiations: Perspectives from an Empirical Investigation
Authors: Oyindamola Abass, Gheorghita Ghinea
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

Strategies play an important role in every aspect of e-commerce. In negotiation, strategies determine the winners and losers in any scenario. The strategies employed in any scenario will depend on the objective of the task, the environment in which the negotiation takes place and the nature of individual. The nature of the individual encompasses their cognitive and social abilities. One of such innate abilities is confidence. In this paper, we examine the impact of confidence on negotiation strategies. A simulation of a face-to-face negotiation experiment was carried out to determine the negotiation patterns of self confident people. The results of our analysis showed that highly confident people had significantly better results on negotiation tasks than people with lower confidence levels. This paper details the strategies used by confident people.
A Framework for Designing a Model for Learning in Small and Medium Enterprises
Authors: Nick Kearney, Wilfred Rubens, Ditte Lockhorst
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Previous research has indicated that formal learning activities, such as online courses and face-to - face training are, in many cases, not appropriate for small and medium enterprises (SMEs). Therefore in the European Work and Learn Together project a model for learning in SMEs is being developed that is based on the concept of the community of practice. This paper describes a framework for designing this model for learning in SMEs. The principles of communities of practice are used to derive the basic elements. The initial design is based on three clusters of fundamentals (basic elements, framework and presence).
Open-Pit Mine Truck Real-time Dispatching Principle under Macroscopic Control
Authors: Qiang Wang, Ying Zhang, Chong Chen, Wenli Xu
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Real-time dispatching principle is a key technique of open-pit mine truck dispatching system. A new openpit mine truck real-time dispatching principle which is under macroscopic control is proposed in this paper. Its advantages are considering the importance of object truck flow rates given by truck flow optimization substantially and controlling all of the actual truck flow rates to be approximate to current object truck flow rate by taking unloading points as emphasis, and global optimization can be realized better. The simulation research indicates the performance of this principle has a certain advantage compared with the dynamic programming method of DISPATCH system developed by Modular Corporation and an obvious advantage compared with the fixed manual schedule method. The truck dispatching system with this dispatching principle has run successfully in a large scale open-pit mine in the early 2005.