ppxscal/embedding_network huggingface dataset:
The Application of Immune Algorithm to Vehicle Scheduling Problem in Logistics Distribution
Authors: Yang Kongyu, Gao Binbin, Lin Jihui
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The immune algorithm is an intelligential and heuristic algorithm which imitates high-evolvement of the organism and complicated immune system. Vehicle scheduling problem (VSP) with soft time windows is a variation of vehicle scheduling problem in logistics distribution, which is a typical NP-hard problem. The paper describes an improved immune optimization algorithm to solve the VSP, in which a new coding method, the adaptive mechanism of crossover and mutation, and evaluate function are introduced. Simulation results on a VSP problems show that the algorithm is efficient to solve the VSP problem.
Real-Time Viola-Jones Face Detection in a Web Browser
Authors: Theo Ephraim, Tristan Himmelman, Kaleem Siddiqi
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

This paper develops optimizations to the Viola-Jones face detection method to make it suitable for use in a web browser running on a standard laptop or a desktop equipped with a webcam. In this setting certain assumptions can be made about the number and location of faces to find, and information from a previous frame can help to localize the search. These optimizations lead to an algorithm which performs real-time face detection using a slow scripting language, even on low-end computers.Specifically, wehave implemented the algorithm in Adobe Flash (ActionScript 3.0) and our implementation can be deployed via a web browser without any extra installation. We invite readers to click on http://flashfacedetection.com and test it for themselves.
Joint parsing and named entity recognition
Authors: Jenny Rose Finkel, Christopher D. Manning
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

For many language technology applications, such as question answering, the overall system runs several independent processors over the data (such as a named entity recognizer, a coreference system, and a parser). This easily results in inconsistent annotations, which are harmful to the performance of the aggregate system. We begin to address this problem with a joint model of parsing and named entity recognition, based on a discriminative feature-based constituency parser. Our model produces a consistent output, where the named entity spans do not conflict with the phrasal spans of the parse tree. The joint representation also allows the information from each type of annotation to improve performance on the other, and, in experiments with the OntoNotes corpus, we found improvements of up to 1.36% absolute F1 for parsing, and up to 9.0% F1 for named entity recognition.
The Module Design of Intelligent Allocating Storage Space in Container Freight Station
Authors: Zhou Guiliang, Mao Lina
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Intelligent Management Information System is an important approach to improve the work efficiency and degree of satisfaction of the Container Freight Station. And the module of intelligent allocating storage space is the core of the Intelligent Management Information System. The paper has described the importance and process of the module designing for intelligent allocating storage space in Container Freight Station, which includes the flow of the module design, integrated system of simulation & optimization which is based on the combination of Genetic Algorithm optimization and Arena simulation, Decision Support System, etc. Finally, it has concluded input-output mode of the module and then prospected the positive significance caused by the module design to the improvement of the intelligent technology on container port.
Pilot Model: Judging Alternate Modes of Dispensing Prophylaxis in Los Angeles County
Venue: Interfaces (2009)

In large metropolitan areas such as Los Angeles County (LAC), public health departments must supplement their traditional methods of dispensing prophylaxis to the general public in their jurisdictions during mass biological and chemical events. Although many alternate modes of dispensing are being discussed, a quantitative model to compare their relative advantages and disadvantages does not exist. We use multicriteria decision analysis to help the LAC Department of Public Health (DPH) assess the trade-offs associated with these alternate modes of dispensing oral prophylaxis. We found that one of the most hyped methods (drive-thru dispensing) is not a good choice for LAC. Our baseline analysis shows that the top two alternatives, dispensing through commercial pharmacies and dispensing through the United States Postal Service, are equally effective. Either alternative would be acceptable; the final decision could be made on either legal or political grounds. Our analysis provided the DPH with much insight into to its decision problem. It could become part of the justification of proposals for alternate dispensing plans to the Centers for Disease Control and Prevention. In addition, the DPH has hired a consulting firm to pursue business participation, including commercial pharmacies, for dispensing mass prophylaxis.
A Study of Design That Understands the Influences on the Changes of Information Processing Ability of Users
Authors: Ji Hyun Park
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

The main goal of this study is to research new design approaches for creating interactive products by designers that take into consideration the positive long-term influence a product has on users. In recent years, users are more and more interested in products that can have a good influence on them, for example, how much of a positive change can occur to their emotional or physical health through using a product. With the further advancement of technology, a wide range of effects frequently occur between new devices and users. These effects can be considered a new experience by users. In the future, users will take into consideration the positive influences a product has on them, and the long-term experience of using a technology device. Because of these compelling reasons, research is necessary to study the factors and characteristics of influences that products have on users through objective and utility methods.
Developing monthly operating rules for a cascade system of reservoirs: Application of Bayesian Networks
Authors: Bahram Malekmohammadi, Reza Kerachian, Banafsheh Zahraie
Venue: Environmental Modelling Software (2009)

In this paper, a Bayesian Network (BN) is utilized for developing monthly operating rules for a cascade system of reservoirs which is mainly aimed to control floods and supply irrigation needs. BN is trained and verified using the results of a reservoir operation optimization model, which optimizes monthly releases from cascade reservoirs. The inputs of the BN are monthly inflows, reservoir storages at the beginning of the month, and downstream water demands. The trained BN provides the probability distribution functions of reservoirs' releases for each set of input data. The long-term optimization model in monthly scale is formulated to minimize the expected flood and agricultural water deficit damages. The optimization model is developed using an extended version of the Varying chromosome Length Genetic Algorithm (VLGA-II). To incorporate reservoir preparedness for controlling the probable floods in each month, damages associated with floods with different return periods have been considered in the optimization model. For this purpose, a short-term optimization model which provides the optimal hourly releases during floods is utilized and linked to a flood damage estimation model. Damages due to deficit in supplying agricultural water demands are also calculated based on the functions of crop yield responses to deficit irrigation. The developed models are applied to the cascade system of the Dez and Bakhtiari Reservoirs in Southwest of Iran. The result of the trained BN is compared with the rules developed using classical and fuzzy linear regressions and it is shown that the total damage obtained by the BN-based operating rules is about 60 percent less than the total damage obtained using the fuzzy and classical regression analyses. The average relative error in estimating optimal releases is also reduced about 30 percent by using the BN-based rules.
Surface-Area-Based Attribute Filtering in 3D
Authors: Fred N. Kiwanuka, Georgios K. Ouzounis, Michael H. Wilkinson
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

In this paper we describe a rotation-invariant attribute filter based on estimating the sphericity or roundness of objects by efficiently computing surface area and volume of connected components. The method is based on an efficient algorithm to compute all iso-surfaces of all nodes in a Max-Tree. With similar properties to moment-based attributes like sparseness, non-compactness, and elongation, our sphericity attribute can supplement these in finding blood-vessels in time-of-flight MR angiograms. We compare the method to a discrete surface area method based on adjacency, which has been used for urinary stone detection. Though the latter is faster, it is less accurate, and lacks rotation invariance.
Contact area interaction with sliding widgets
Authors: Tomer Moscovich
Venue: Proceedings of the 22nd annual ACM symposium on User interface software and technology (2009)

We show how to design touchscreen widgets that respond to a finger's contact area. In standard touchscreen systems a finger often appears to touch several screen objects, but the system responds as though only a single pixel is touched. In contact area interaction all objects under the finger respond to the touch. Users activate control widgets by sliding a movable element, as though flipping a switch. These Sliding Widgets resolve selection ambiguity and provide designers with a rich vocabulary of self-disclosing interaction mechanism. We showcase the design of several types of Sliding Widgets, and report study results showing that the simplest of these widgets, the Sliding Button, performs on-par with medium-sized pushbuttons and offers greater accuracy for small-sized buttons.
Design and Achievement of a Dynamic Component Library System
Authors: Hong He, Jiandong Hu, Shengzhong Yuan
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

The dynamic library of components is designed to store software goods based on Qingniao dynamic library, making use of two libraries which are front and background ones to combine with competition and elimination system. Not only does it include the similar functions of general libraries now available, such as querying, appending, deleting and updating components, but also is competent to rearrange the front and background libraries by the present probability of reuse so that it is bound to largely shorten the retrieval time and incredibly improve the precision of component matching. The system is specially used in out-sourcing business to manage and reuse their software goods.
Research on Parallel HW/SW Partitioning Based on Hybrid PSO Algorithm
Authors: Yue Wu, Hao Zhang, Hongbin Yang
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

Generally, CHardware/Software (HW/SW) partitioning can be approximately resolved through some kinds of optimal algorithms. Based on both characteristics of HW/SW partitioning and Particle Swarm Optimization (PSO) algorithm, a novel parallel HW/SW partitioning method is proposed in this paper. A model of parallel HW/SW partitioning on the basis of PSO algorithm is established after analyzing the particularity of HW/SW partitioning. A hybrid strategy of PSO and Tabu Search (TS) is proposed in this paper, which uses the intrinsic parallelism of PSO and the memory function of TS to speed up and improve the performance of PSO. To settle the problem of premature convergence, the reproduction and crossover operation of genetic algorithm (GA) is also introduced into procedure of PSO. Experimental results indicate that the parallel PSO algorithm can efficiently reduce the running time even for large task graphs.
Infrastructure for Forensic Analysis of Multi-Agent Systems
Authors: Emilio Serrano, Juan A. Botia
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

The contribution of this paper is an intent to state the basis for forensic analysis of multi-agent system (MAS) runs. It proposes a general approach for open source agents platforms. It consists on techniques to store, order and represent messages based on conventional observation of the events in a distributed system, particularized for the case of MAS in which agents can be distributed across a number of machines or even be mobile.
A connectionist cognitive model for temporal synchronisation and learning
Authors: Luís C. Lamb, Rafael V. Borges, Artur S. d'Avila Garcez
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more effective and richer cognitive computational models, and to a better understanding of the processes of artificial intelligence across the field. This paper presents a new model for the representation, computation, and learning of temporal logic in connectionist systems. The model allows for the encoding of past and future temporal logic operators in neural networks, through a neural-symbolic translation algorithms introduced in the paper. The networks are relatively simple and can be used for reasoning about time and for learning by examples with the use of standard neural learning algorithms. We validate the model in a well-known application dealing WIth temporal synchronisation in distributed knowledge systems. This opens several interesting research paths in cognitive modelling, with potential applications in agent technology, learning and reasoning.
Proceedings of the EACL 2009 Workshop on Computational Approaches to Semitic Languages
Venue: ACL Workshops (2009)

We are delighted to present you with this volume containing the papers accepted for presentation at the EACL 2009 Workshop on Computational Approaches to Semitic Languages, held in Athens, Greece, on March 31st, 2009. The Workshop is an opportunity for the ACL Special Interest Group on Computational Approaches to Semitic Languages to meet and discuss current and future directions in Computational Linguistic and Natural Language Processing approaches to Semitic Languages. Previous workshops took place in 1998 (Montreal), 2002 (Philadelphia), 2005 (Ann Arbor) and 2007 (Prague). We are happy to see more, better submissions every year. This year we received 19 submissions, of which 9 were selected for presentation and are included in this volume. These papers address Arabic (both standard and dialectal), Hebrew and Ancient Syriac, as well as general issues pertaining to all Semitic languages. We are privileged to have Prof. Michael Gasser (Indiana University) as our keynote speaker this year. Professor Gasser will talk on Finite state morphology for Ethiopian Semitic languages.
An Empirical Study the Effects of Language Factors on Web Site Use Intention
Authors: Hui-Jen Yang, Yun-Long Lay
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Based on the research model, language anxiety, prior non-native language experience, Internet self-efficacy and language self-efficacy are analyzed for the intention to use non-native language commercial web sites, respectively. Prior non-native language experience has affected language anxiety, language self-efficacy and intention to use non-native language commercial web sites, respectively. By the same token, whether or not Internet self-efficacy and language self-efficacy affected by language anxiety is also examined. A valid sample of 418 undergraduates was tested in this study. Path analysis results fully supported the model tested. These results suggest that language anxiety, prior non-native language experience, language self-efficacy and Internet self-efficacy have an effect on the intention to use non-native language commercial web sites. Prior non-native language experience has significantly affected language anxiety, language self-efficacy and the intention to use the non-native language commercial web sites, respectively. Furthermore, language anxiety has significantly affected language self-efficacy and Internet self-efficacy, respectively. Educational research and practitioner implications are provided at the end of the paper.
From comparing clusterings to combining clusterings
Authors: Zhiwu Lu, Yuxin Peng, Jianguo Xiao
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, which are originally used to compare two clusterings (the obtained clustering vs. a ground truth clustering) for the evaluation of a clustering algorithm. Though we can follow a greedy strategy to optimize these measures as objective functions of clustering ensemble, some local optima may be obtained and simultaneously the computational cost is too large. To avoid the local optima, we then consider a simulated annealing optimization scheme that operates through single label changes. Moreover, for these measures between partitions based on the relationship (joined or separated) of pairs of objects such as Rand index, we can update them incrementally for each label change, which makes sure the simulated annealing optimization scheme is computationally feasible. The simulation and real-life experiments then demonstrate that the proposed framework can achieve superior results.
Maintaining QoS for publish/subscribe middleware in dynamic environments
Authors: Joe Hoffert, Douglas C. Schmidt
Venue: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (2009)

Emerging trends and challenges. The number and type of distributed systems that utilize publish/subscribe (pub/sub) technologies are growing due to the advantages of performance, cost, and scale compared with single computers [1, 2]. Examples of pub/sub middleware include Web Services Brokered Notification (www.oasis-open.org/committees/tc_home.php?wg_abbrev=wsn), the Java Message Service (JMS) (java.sun.com/products/jms), the CORBA Event Service (www.omg.org/technology/documents/formal/event_service.htm), and the Data Distribution Sendee (DDS) (www.omg.org/spec/DDS). These technologies support data propagation throughout a system using an anonymous subscription model that decouples event suppliers and consumers.
A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
Authors: Tzong-Huei Lin
Venue: Neurocomputing (2009)

In 2008, financial tsunami started to impair the economic development of many countries, including Taiwan. The prediction of financial crisis turns to be much more important and doubtlessly holds public attention when the world economy goes to depression. This study examined the predictive ability of the four most commonly used financial distress prediction models and thus constructed reliable failure prediction models for public industrial firms in Taiwan. Multiple discriminate analysis (MDA), logit, probit, and artificial neural networks (ANNs) methodology were employed to a dataset of matched sample of failed and non-failed Taiwan public industrial firms during 1998-2005. The final models are validated using within sample test and out-of-the-sample test, respectively. The results indicated that the probit, logit, and ANN models which used in this study achieve higher prediction accuracy and possess the ability of generalization. The probit model possesses the best and stable performance. However, if the data does not satisfy the assumptions of the statistical approach, then the ANN approach would demonstrate its advantage and achieve higher prediction accuracy. In addition, the models which used in this study achieve higher prediction accuracy and possess the ability of generalization than those of [Altman, Financial ratios-discriminant analysis and the prediction of corporate bankruptcy using capital market data, Journal of Finance 23 (4) (1968) 589-609, Ohlson, Financial ratios and the probability prediction of bankruptcy, Journal of Accounting Research 18 (1) (1980) 109-131, and Zmijewski, Methodological issues related to the estimation of financial distress prediction models, Journal of Accounting Research 22 (1984) 59-82]. In summary, the models used in this study can be used to assist investors, creditors, managers, auditors, and regulatory agencies in Taiwan to predict the probability of business failure.
Study on the Traffic Safety Intelligent Warning Technologies and Methods Based on the Integrated Traffic Safety Data
Authors: Yin Zhu
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In this paper the traffic safety warning technologies and methods are studied deeply based on the macro-forecast and micro-forecast methods. The macro-forecast will realize the traffic safety warning based on the macro-data such as the number of traffic accidents, the death toll and the number of motor vehicles owned and so on. And the micro-forecast is based on the micro-data such as traffic flow volume, speed and density and so on. The paper introduced the integrated forecast method combined with time series method and regression forecast method to realize the macro-traffic safety warning. Moreover the simulation technology is used to realize the micro-traffic safety warning technology. Finally, the feasibility and effectiveness of that method and technology which is presented in this paper are demonstrated by an example.
Supercomputer Simulation of an Astrophysical Object Collapse by the Fluids-in-Cell Method
Authors: Igor Kulikov, Galina Lazareva, Alexey Snytnikov, Vitaly Vshivkov
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

Parallel implementation of the Fluids-in-Cell Method (FlIC) method is created for 3D cartesian simulation of an astrophysical object collapse. The main parameters of the parallel implementation are given of the FlIC method. The equations under solution are the gas dynamics equations and Poisson equation. Simulation of collapse with FlIC method is compared to SPH simulation. As a result, we can state that FlIC method provided fine enough grid gives better spatial resolution than SPH.