ppxscal/embedding_network huggingface dataset:
Key Points on Implementing Performance Management - Case Study of a Joint Venture in Hunan Province
Authors: Chen Hongming, Bin Yan
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Performance management as an effective tool plays an important role in the evaluation, encouraging staff, promoting enterprise development, improving the market position of company, enhancing vitality and competitiveness. However, what are the key points on implementing performance management? The author of this paper discussed the problem with a case study of a joint venture electronic enterprise in Hunan Province. Through investigation and follow-up study to the performance implementation of this enterprise, the author analyzes the key to the implementation of performance management and puts forward relevant proposals. If an enterprise wants to implement performance management, they should analysis the need for the performance management implementation, gets the continual support from management, designs performance management system, considers fully with performance feedback, face-to-face interviews, performance improving, results application and so on.
Weakly supervised part-of-speech tagging for morphologically-rich, resource-scarce languages
Authors: Kazi Saidul Hasan, Vincent Ng
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

This paper examines unsupervised approaches to part-of-speech (POS) tagging for morphologically-rich, resource-scarce languages, with an emphasis on Goldwater and Griffiths's (2007) fully-Bayesian approach originally developed for English POS tagging. We argue that existing unsupervised POS taggers unrealistically assume as input a perfect POS lexicon, and consequently, we propose a weakly supervised fully-Bayesian approach to POS tagging, which relaxes the unrealistic assumption by automatically acquiring the lexicon from a small amount of POS-tagged data. Since such relaxation comes at the expense of a drop in tagging accuracy, we propose two extensions to the Bayesian framework and demonstrate that they are effective in improving a fully-Bayesian POS tagger for Bengali, our representative morphologically-rich, resource-scarce language.
Application of Mechanism Design in Opportunistic Scheduling under Cognitive Radio Systems
Authors: Jane W. Huang, Vikram Krishnamurthy
Venue: Proceedings of the 2009 Second International Conference on Advances in Mesh Networks (2009)

The conventional opportunistic scheduling algorithm in cognitive radio networks does the scheduling among the secondary users based on the reported state values. However, such opportunistic scheduling algorithm can be challenged in a system where each secondary user belongs to a different independent agent and the users work in competitive way. In order to optimize his own utility, a selfish user can choose not to reveal his true information to the central scheduler. In this paper, we proposed a pricing mechanism which combines the mechanism design with the opportunistic scheduling algorithm and ensures that each rational selfish user maximizes his own utility function, at the same time optimizing the overall system utility. The proposed pricing mechanism is based on the classic Vickrey-Clark-Groves (VCG) mechanism and had several desirable economic properties. A mechanism learning algorithm is then provided for users to learn the mechanism and to obtain the Nash equilibrium. A numerical example shows the Nash equilibrium of such algorithm achieves system optimality.
A Pictorial Description of Cole's Parallel Merge Sort
Authors: Torben Hagerup
Venue: Efficient Algorithms: Essays Dedicated to Kurt Mehlhorn on the Occasion of His 60th Birthday (2009)

A largely pictorial description is given of a variant of an ingenious parallel sorting algorithm due to Richard Cole. The new description strives to achieve greater simplicity by exploiting symmetries that were not explicit in the original exposition and that can be conveyed nicely with pictures. Not paying attention to constant factors allows an additional slight simplification of the algorithm. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Comparison of micro-dispensing performance between micro-valve and piezoelectric printhead
Authors: Jie Sun, Jinh Hao Ng, Ying Hsi Fuh, Yoke San Wong, Han Tong Loh, Qian Xu
Venue: Microsystem Technologies (2009)

In micro-dispensing applications, printhead activation mechanism, its design and operating parameters are integrated together to affect the droplet generation process. These factors give each printhead advantages and limitations over the others in specific fabrication. Hence, multiple printheads on micro level fabrication are preferred to perform multi-material dispensing task. In this paper, the mechanisms of two commonly used micro printheads, solenoid actuated micro-valve and piezoelectric printhead are discussed. Comprehensive experiments are conducted to characterize their performance and the results are analyzed so as to explore optimal droplet formation condition. With regards to the operational parameters&#x2019; influence on droplet formation, micro-valve is investigated in terms of pressure, and operational on time, and piezoelectric printhead is investigated based on pulse amplitude, and width of driving pulse. Nozzle size, a key design parameter in the two printheads, is also studied according to its influence on dispensing capability. To facilitate dispenser selection, the two printheads are compared based on droplet size, droplet stability, droplet velocity, and dispensing viscosity of successful ejection. Other factors such as chemical compatibility, time consumption in determining optimal condition and reliability of dispensing process are also reported to play an essential role in this selection. Our investigation on the relationship between related parameters and dispensing performance will not only benefit dispenser selection in multi-material dispensing application, but also build a solid background to develop multiple printhead system for fabrication of bioengineering components.
Combining probabilistic population codes
Authors: Richard S. Zemel, Peter Dayan
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

We study the problem of statistically correct inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the simultaneous activity of many units coding for some low dimensional quantity. A classic example are place cells in the rat hippocampus: these fire when the animal is at a particular place in an environment, so the underlying quantity has two dimensions of spatial location. We show how to interpret the activity as encoding whole probability distributions over the underlying variable rather then just single values, and propose a method of inductively learning mappings between population codes that are computationally tractable and yet offer good approximations to statistically optimal inference. We simulate the method on some simple examples to prove its competence.
PD-I(PD)-Type ILC for a Class of Nonlinear Systems
Authors: Bai-shun Liu, Ying-Ze Hao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In this paper, we presents a new class of iterative learning control law for a class of nonlinear systems, denoted PD-IPD, which is composed by adding a derivative term in the integrator of PID learning control law. By using Bellman-Gronwall lemma, the simple explicit conditions on the learning gains to ensure convergence are provided in the sense of Lambda norm. An attractive feature of PD-IPD learning law is that it is of faster convergence speed and higher accuracy. The simulation example demonstrates the advantage and effectiveness of PD-IPD learning law.
Optimal recommendation sets: covering uncertainty over user preferences
Authors: Bob Price, Paul R. Messinger
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

We propose an approach to recommendation systems that optimizes over possible sets of recommended alternatives in a decision-theoretic manner. Our approach selects the alternative set that maximizes the expected valuation of the user's choice from the recommended set. The set-based optimization explicitly recognizes the opportunity for passing residual uncertainty about preferences back to the user to resolve. Implicitly, the approach chooses a set with a diversity of alternatives that optimally covers the uncertainty over possible user preferences. The approach can be used with several preference representations, including utility theory, qualitative preferences models, and informal scoring. We develop a specific formulation for multi-attribute utility theory, which we call maximization of expected max (MEM). We go on to show that this optimization is NP-complete (when user preferences are described by discrete distributions) and suggest two efficient methods for approximating it. These approximations have complexity of the same order as the traditional k-max operator and, for both synthetic and real-world data, perform better than the approach of recommending the k-individually best alternatives (which is not a surprise) and very close to the optimum set (which is less expected).
Demo abstract: Towards continuous tracking: Low-power communication and fail-safe presence assurance
Authors: Bernhard Firner, Prashant Jadhav, Yanyong Zhang, Richard Howard, Wade Trappe
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

Long-term fine-grained continuous tracking is still not feasible with today's algorithms and protocols. There are two main obstacles. The first is the need for efficient, low-power communication protocols. Many current protocols employ energy-expensive methods to achieve reliable communication for arbitrary traffic situations. The second challenge is the lack of a robust presence detection algorithm that differentiates between ambient packet loss and packet loss due to missing items. We will demonstrate a continuous tracking system using a simple communication protocol, Uni-HB, with the detection algorithms that we designed to yield low false alarm rates while achieving timely loss notification.
Forensic Techniques for Image Source Classification: A Comparative Study
Authors: Edward J. Delp
Venue: Proceedings of the 8th International Workshop on Digital Watermarking (2009)

Digital images can be captured or generated by a variety of sources including digital cameras, scanners and computer graphics softwares. In many cases it is important to be able to determine the source of a digital image such as for criminal and forensic investigation. Based on their originating mechanism digital images can be classified into three classes: digital camera images, scanner generated images and computer-graphics generated images. Image source classification is helpful as a first step for identifying the unique device or system which produced the image. This paper presents a survey of different methods for solving image source classification problem, some improvements over them and compares their performance in a common framework. As expected with the advances in computer graphics techniques, artificial images are becoming closer and closer to the natural ones and harder to distinguish by human visual system. Hence, the methods based on characteristics of image generating process are more successful than those based on image content.
Equivalent Relationship of Feedforward Neural Networks and Real-Time Face Detection System
Authors: Shuzhi Sam Ge, Yaozhang Pan, Qun Zhang, Lei Chen
Venue: Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics (2009)

In this paper, we mainly investigate a fast algorithm, Extreme Learning Machine (ELM), on its equivalent relationship, approximation capability and real-time face detection application. Firstly, an equivalent relationship is presented for neural networks without orthonormalization (ELM) and orthonormal neural networks. Secondly, based on the equivalent relationship and the universal approximation of orthonormal neural networks, we successfully prove that neural networks with ELM have the property of universal approximation, and adjustable parameters of hidden neurons and orthonormal transformation are not necessary. Finally, based on the fast learning characteristic of ELM, we successfully combine ELM with AdaBoost algorithm of Viola-Jones in face detection applications such that the whole system not only retains a real-time learning speed, but also possesses high face detection accuracy.
The Native and National Tobacco Company Game Analysis
Authors: Wensheng Wang
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

This paper analyzes the probable tactics of the national enterprise after China entering WTO and compares the changes of our policy before and after China entering WTO. This paper makes a game theory analysis between China and the national tobacco enterprise, at the same time analyzes the profit of ours under varies policy and in what time can we in the dominance situation.
Measuring the Social Value of Innovation: A Link In The University Technology Transfer and Entrepreneurship Equation, 1st edition
Authors: Gary D. Libecap
Venue:  (2009)

This volume presents a series of perspectives that evaluate the merits of and potential for establishing institutionalized social valuation protocols within university settings. The volumes open with a comprehensive overview of the existing literature that addresses issues related to assessing the social value of university innovations. The first section provides sociological, organizational, and economic perspectives on issues informing the forecasting and/or demonstrating the social value of university innovations. The second section explores potential metrics and measures for either forecasting or demonstrating the social and economic value of university innovations. The third section concludes by considering issues of governance over and the organizational positioning institutionalized protocol for forecasting and demonstrating the social and economic value of university innovations. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Computer Simulations: An Overview of Monte Carlo Methods for Fluid Simulation
Authors: Gerassimos Orkoulas
Venue: IEEE Design Test (2009)

In computational studies of complex fluids, Monte Carlo simulations play a valuable role. Such simulations can be divided into two classes: those related to efficient data analysis and those aimed at improving the samples' statistical quality.
Development of PID Neural Network Control System for Temperature of Resistance Furnace
Authors: Hu Lin, Long Wei, Nie Zikun
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

As the characteristics of serious large time delay and strong coupling for heat treatment process in the large bogie-hearth resistance furnace, a kind method of PID neural network decoupling control, combined with the functions of stirring fans and the distribution of heating districts technology，is adopted in the paper, it successfully solves the coupled problem among the temperature of resistance furnace successfully, makes the system have the better decoupling properties. As well as the resistance furnace actual results shows that the system is high precision, reliabilty and stability, it can meet the request of super heat treatment equipment completely. The successful applications of the system in the super heat treatment equipment can also give valuable experience for manufacturing super heat treatment equipment and alteration in other field.
A dynamic load-balancing scheme for the parcel hub-scheduling problem
Authors: Douglas L. McWilliams
Venue: Computers and Industrial Engineering (2009)

In this paper, a dynamic load-balancing algorithm (DLBA) was proposed to solve the parcel hub-scheduling problem (PHSP), which is a combinatorial optimization problem commonly found at a parcel consolidation terminal in the parcel delivery industry (PDI). The problem consists of processing a large number of inbound trailers at a much smaller number of unload docks. The parcels in the inbound trailers must be unloaded, sorted and transferred to the load docks, and loaded onto the outbound trailers. Because the transfer operation is labor intensive and the PDI operates in a time-sensitive environment, the unloading, sorting, transferring, and loading of the parcels must be done in such a way as to minimize the timespan of the transfer operation. A DLBA that considered the state of the system was proposed and evaluated to schedule the inbound trailers to the unload docks. The performance of the algorithm was compared to the performance of an efficient static load-balancing algorithm (SLBA) and to an existing lower bound. An experimental analysis shows that the DLBA offers solutions that are 8.6% better than the solutions offered by the SLBA for large-size problems and that the average computational time is only 1.34min for the DLBA compared to 15.04min for the SLBA.
Broadening Ubicomp's vision: an exploratory study of charismatic pentecostals and technology use in Brazil
Authors: Susan P. Wyche, Camila M. Magnus, Rebecca E. Grinter
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

We present results from a qualitative study examining how Charismatic Pentecostals use Information and Communications Technologies (ICTs) in São Paulo, Brazil. This work contributes to the growing body of research that broadens Weiser's vision by exploring technology use in novel and unfamiliar contexts. Our findings reveal how "extreme" and non-rational beliefs frame users' ICT experiences. We argue that if ubicomp is to be global and ubiquitous, accounting for alternative value systems is necessary. We discuss the implications of our findings and present issues the ubicomp community should consider when imagining a future that includes users from parts of the global south.
Tiles for Reo
Authors: Farhad Arbab, Roberto Bruni, Dave Clarke, Ivan Lanese, Ugo Montanari
Venue: Recent Trends in Algebraic Development Techniques: 19th International Workshop, WADT 2008, Pisa, Italy, June 13-16, 2008, Revised Selected Papers (2009)

Reo is an exogenous coordination model for software components. The informal semantics of Reo has been matched by several proposals of formalization, exploiting co-algebraic techniques, constraint-automata, and coloring tables. We aim to show that the Tile Model offers a flexible and adequate semantic setting for Reo, such that: (i) it is able to capture context-aware behavior; (ii) it is equipped with a natural notion of behavioral equivalence which is compositional; (iii) it offers a uniform setting for representing not only the ordinary execution of Reo systems but also dynamic reconfiguration strategies.
Fusion of multiparametric SAR images based on SW-nonsubsampled contourlet and PCNN
Authors: Shuyuan Yang, Min Wang, YanXiong Lu, Weidong Qi, Licheng Jiao
Venue: Signal Processing (2009)

In this paper, a new fusion rule based on a pulse coupled neural network (PCNN) and the clarity of images is proposed for multi-band synthetic aperture radar (SAR) image fusion. By using a stationary wavelet-based nonsubsampled contourlet transform (SW-NSCT), we can calculate a flexible multiscale, multidirectional, anisotropy and shift-invariant representation of registered SAR images. A weighted fusion rule is performed on the low frequency subbands to calculate the fused lowpass band. For the fusion of high frequency directional subband images, a PCNN model is constructed, where the linking strength of each neuron is determined by the clarity of the decomposed subband images. The fusion approach exploits the advantages of both SW-NSCT in multiscale geometric representations and that of PCNN in the determination of fusion rules; as predicted, the obtained fusion image can preserve much more information regarding textures and edges of the images, compared to its counterparts. Some experiments are performed by comparing the new algorithm with other existing fusion rules and methods. The experimental results show that the proposed fusion approach is effective and can provide better performance in fusing multi-band SAR images than some current methods.
A Petri-Net-Based Modeling Framework for Automated Negotiation Protocols in Electronic Commerce
Authors: Shujuan Ji, Qijia Tian, Yongquan Liang
Venue: Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers (2009)

A negotiation protocol is a specification of the rules that govern deliberation among negotiation agents. To model negotiation protocols formally is an important task in the designing of automated negotiation systems for electronic commerce. Lots of work has been done for negotiation modeling, but there still lacks a formalism for negotiation protocols of time-constrained multi-issue negotiation, which can be widely applied in electronic commerce. This paper proposes a modeling framework for time constrained multi-issue negotiation protocol. An extended Colored Petri Net model is proposed and used to represent the modeling framework formally. To illustrate the applicability of the extended Colored Petri Net model, an auction protocol with fixed number of bidders are modeled and the model's characteristics are verified using the Petri Net verification tool HPSim.
Analysis of Area Revisitation Patterns in World of Warcarft
Authors: Ruck Thawonmas, Keisuke Yoshida, Jing-Kai Lou, Kuan-Ta Chen
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

This paper analyzes area revisitation patterns in World of Warcraft (WoW). Online-game players roam a number of in-game areas while playing the game and revisit some of them with different personal reasons. To clarify this issue, we conduct a large-scale analysis using WoW access log collected for two years consisting of more than sixty thousand characters and have discovered four main groups of area revisitation patterns. We describe also in the paper how our findings can be utilized to support both game developers and players.