ppxscal/embedding_network huggingface dataset:
Study on Group Decision Making Based on Different Preference Information
Authors: Hualong Zhao
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In the group decision making, different expert often gives difference preference information for the same multi-objective decision making question. In this paper, an analytic method is proposed to solve the problem for ranking of experts based on difference preference information. First, several concept and characters of utility values, preference ordering of alternatives, reciprocal judgement matrices and complementary judgement matrices are introduced. Then, through defining transforming formula between difference preference information, translates the three types preference information (utility values, preference ordering of alternatives andcomplementary judgement matrices) into the forms ofreciprocal judgement matrices. Then the weighted geometric mean priority method of group reciprocal judgement matrices is utilized to order alternatives. Finally, the validity ofthis method is verified by an example.
A context for collaboration: institutions and the infrastructure for learning
Authors: Chris Jones
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

This paper discusses the role of institutional issues in the deployment of infrastructures for learning and the ways in which they can impact on the range of choices and opportunities for collaboration in university education. The paper is based on interviews with 12 key informants selected from relevant staff categories during the deployment of a new institutional infrastructure in a large UK based distance learning university. It is supplemented by participant observation by the author who was part of a group of advisors tasked with working with the project team developing and deploying the new infrastructure. The paper investigates the development and deployment of the infrastructure as a meso level phenomena and relates this feature to the discussion of emergence and supervenience as features of social interactions in education.
Gem #64: handling multiple-unit source files
Authors: Emmanuel Briot
Venue: ACM SIGAda Ada Letters (2009)

This Gem describes how to compile applications in GNAT when source files contain multiple units. The preferred approach is to split source files, and here we describes how this can be done, although GNAT also provides a workaround that allows you to keep your existing files.
Spatial Analysis of Humidity and Temperature of Iran
Authors: Amir Kavousi, Mohammad Reza Meshkani
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

Regarding the paramount importance of temperature and humidity in the lives of all living organisms and even solid substances, this paper presents a quantitative spatial analysis of the variation of these two factors across the territory of Iran. Using spatial statistics concepts and methods, it provides the optimally constructed maps of temperature, humidity, and temperature-humidity-index. The corresponding standard deviation maps are also provided.
Switching between OPTX and PBE exchange functionals
Authors: Marcel Swart, Miquel Solà, F. Matthias Bickelhaupt
Venue: Journal of Computational Methods in Sciences and Engineering (2009)

We report here a study into what causes the dramatic differences between OPBE and PBE for reaction barriers, spin-state energies, hydrogen-bonding and &pi; - &pi; stacking energies. It is achieved by the implementation of a new functional that switches smoothly from OPBE to PBE at a predefined point P of the reduced density gradient s. By letting the point P run as function of the reduced density gradient s, with values from s = 0.1 to s = 10, we can determine which part of the exchange functional determines its behavior for the different interactions. Based on the thus obtained results, we have created a new exchange functional that shows the good results of OPBE for reaction barriers and spin-state energies, and combines it with the good respectively reasonable results of PBE for hydrogen-bonding and &pi; - &pi; stacking. In summary, the new functional combines the best of OPBE with the best of PBE.
A method of generating calligraphy of Japanese character using deformable contours
Authors: Lisong Wang, Tsuyoshi Nakamura, Minkai Wang, Hirohisa Seki, Hidenori Itoh
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

This article considers the problem of generating various calligraphy of Japanese character from some limited existing fonts. We propose a generation method based on the deformable contour model g-snake. By representing the outline of each stroke that makes of a character with a g-snake, we cast the generation problem into global and local deformation of g-snake under different control parameters, meanwhile, the local deformation obeys the energy minimization principle of regularization technique. The base value of the control parameters are learned from given sample fonts. The experimental results, i.e. the generated calligraphy show such a process as a reasonable way of generating characteristic calligraphy.
Applying web-enabled self-regulated learning and problem-based learning with initiation to involve low-achieving students in learning
Authors: Chia-Wen Tsai, Pei-Di Shen
Venue: Computers in Human Behavior (2009)

Vocational degree earners represent a major portion of the work force in Taiwan. However, vocational education in Taiwan is highly competitive in that it must attract sufficient student enrollment in an environment with a rapidly increasing number of schools. In this context, many vocational students tend to have lower levels of academic achievement. Under such constraints but moving toward more practical orientation, the authors conducted a quasi-experiment to examine the effects of applying web-based self-regulated learning (SRL), web-based problem-based learning (PBL) with initiation, and their combination to help these low-achieving students be involved positively in their learning. Four classes in successive years, with a total of 177 third-year students, were divided into 2 (SRL vs. non-SRL)x2 (PBL with initiation vs. PBL without initiation) experimental groups. Results were generally positive. The authors further discuss the implications for schools, particularly vocational schools, and for scholars and teachers concerned about e-learning.
An efficient heuristic for reliability design optimization problems
Authors: Mohamed Ouzineb, Mustapha Nourelfath, Michel Gendreau
Venue: Computers and Operations Research (2010)

This paper develops an efficient heuristic to solve two typical combinatorial optimization problems frequently met when designing highly reliable systems. The first one is the redundancy allocation problem (RAP) of series-parallel binary-state systems. The design goal of the RAP is to select the optimal combination of elements and redundancy levels to maximize system reliability subject to the system budget and to the system weight. The second problem is the expansion-scheduling problem (ESP) of multi-state series-parallel systems. In this problem, the study period is divided into several stages. At each stage, the demand is represented as a piecewise cumulative load curve. During the system lifetime, the demand can increase and the total productivity may become insufficient to assume the demand. To increase the total system productivity, elements are added to the existing system. The objective in the ESP is to minimize the sum of costs of the investments over the study period while satisfying availability constraints at each stage. The heuristic approach developed to solve the RAP and the ESP is based on a combination of space partitioning, genetic algorithms (GA) and tabu search (TS). After dividing the search space into a set of disjoint subsets, this approach uses GA to select the subspaces, and applies TS to each selected subspace. Numerical results for the test problems from previous research are reported and compared. The results show the advantages of the proposed approach for solving both problems.
Positive results for parsing with a bounded stack using a model-based right-corner transform
Authors: William Schuler
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Statistical parsing models have recently been proposed that employ a bounded stack in time-series (left-to-right) recognition, using a right-corner transform defined over training trees to minimize stack use (Schuler et al., 2008). Corpus results have shown that a vast majority of naturally-occurring sentences can be parsed in this way using a very small stack bound of three to four elements. This suggests that the standard cubic-time CKY chart-parsing algorithm, which implicitly assumes an unbounded stack, may be wasting probability mass on trees whose complexity is beyond human recognition or generation capacity. This paper first describes a version of the right-corner transform that is defined over entire probabilistic grammars (cast as infinite sets of generable trees), in order to ensure a fair comparison between bounded-stack and unbounded PCFG parsing using a common underlying model; then it presents experimental results that show a bounded-stack right-corner parser using a transformed version of a grammar significantly outperforms an unbounded-stack CKY parser using the original grammar.
Review: A review of surface erosion and sediment delivery models for unsealed roads
Authors: Baihua Fu, Lachlan T. H. Newham, C. E. Ramos-Scharrón
Venue: Environmental Modelling Software (2010)

This paper reviews available models for estimating surface erosion and sediment delivery to streams from unsealed roads. It summarises current progress and identifies directions for ongoing research and model development. The paper provides a framework for assessing road erosion and sediment delivery models and it includes an overview of road erosion and sediment delivery processes and how they are commonly represented in models. Seven road models are reviewed in terms of their representations of erosion and sediment delivery processes, assumptions, application and limitations. While simple models are thought to be more useful and easily applied for land management purposes, more complex models provide a basis for building and consolidating scientific knowledge. This article reveals some of the limitations and needs of existing road erosion models. These include limitations of their ancestor hillslope erosion models, the imbalance between representation of erosion processes versus sediment delivery, a lack of representation of subsurface flow interception and the lack of model testing and uncertainty analysis. One of the most fundamental limitations to developing improved models of road erosion and delivery is access to data of an appropriate standard.
Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement
Authors: Alexander Wong, David A. Clausi, Paul Fieguth
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

A novel stochastic Retinex method based on adaptive Monte Carlo estimation is presented for the purpose of illumination and reflectance separation and color image enhancement. A spatially-adaptive sampling scheme is employed to generate a set of random samples from the image field. A Monte Carlo estimate of the illumination is computed based on the Pearson Type VII error statistics of the drawn samples. The proposed method takes advantage of both local and global contrast information to provide better separation of reflectance and illumination by reducing the effects of strong shadows and other sharp illumination changes on the estimation process, improving the preservation of the original photographic tone, and avoiding the amplification of noise in dark regions. Experimental results using monochromatic face images under different illumination conditions and low-contrast chromatic images show the effectiveness of the proposed method for illumination and reflectance separation and color image enhancement when compared to existing Retinex and color enhancement techniques.
Foundations of RDF Databases
Authors: Marcelo Arenas, Claudio Gutierrez, Jorge Pérez
Venue: Reasoning Web. Semantic Technologies for Information Systems: 5th International Summer School 2009, Brixen-Bressanone, Italy, August 30 - September 4, 2009, Tutorial Lectures (2009)

The goal of this paper is to give an overview of the basics of the theory of RDF databases. We provide a formal definition of RDF that includes the features that distinguish this model from other graph data models. We then move into the fundamental issue of querying RDF data. We start by considering the RDF query language SPARQL, which is a W3C Recommendation since January 2008. We provide an algebraic syntax and a compositional semantics for this language, study the complexity of the evaluation problem for different fragments of SPARQL, and consider the problem of optimizing the evaluation of SPARQL queries, showing that a natural fragment of this language has some good properties in this respect. We furthermore study the expressive power of SPARQL, by comparing it with some well-known query languages such as relational algebra. We conclude by considering the issue of querying RDF data in the presence of RDFS vocabulary. In particular, we present a recently proposed extension of SPARQL with navigational capabilities.
Semi-fragile Watermarking Technique for Image Tamper Localization
Authors: Hao Zhou, Haiyan Li, Pengfei Yu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Abstract—In this paper an image authentication scheme is proposed to locate tampered area correctly and accurately on the watermarked image. Semi-fragile watermarks are extracted from detail coefficients of wavelet transform and embedded into DCT coefficients. In order to enhance the security, chaotic sequence is employed to encrypt the watermark signals. Experimental results show the proposed technique is robust against JPEG lossy compression and noise pollution.
Stereo Video Communication and Key Techniques
Authors: Jia Zhentang, Niu Xiaotai
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

A video communication system based on stereo video technology is put forward, and the detailed techniques are discussed.The key techniques include the stereo video capturing, compression, decompression and display. Stereo video can reconstruct the depth information of real objects, and therefore better effects will be achieved in personal video communication, remote commercial negotiations or product exhibitions on web sites. Considering the budget, double USB cameras are recommended as a stereo camera. It can run on normal personal computer.
Controversial users demand local trust metrics: an experimental study on Epinions.com community
Authors: Paolo Massa, Paolo Avesani
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

In today's connected world it is possible and very common to interact with unknown people, whose reliability is unknown. Trust Metrics are a recently proposed technique for answering questions such as "Should I trust this user?". However, most of the current research assumes that every user has a global quality score and that the goal of the technique is just to predict this correct value. We show, on data from a real and large user community, Epinions.com, that such an assumption is not realistic because there is a significant portion of what we call controversial users, users who are trusted and distrusted by many. A global agreement about the trustworthiness value of these users cannot exist. We argue, using computational experiments, that the existence of controversial users (a normal phenomena in societies) demands Local Trust Metrics, techniques able to predict the trustworthiness of an user in a personalized way, depending on the very personal view of the judging user.
Mining Target-oriented Fuzzy Correlation Rules in Telecom Database
Authors: Hao-En Chueh, Nancy P. Lin, Nien-Yi Jan
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

In this paper, we propose an algorithm for mining the target-oriented fuzzy correlation rules to discover the strong correlations between a specific telecom service and other services from a telecom database.We show how, by using the fuzzy statistics analysis, the target-oriented fuzzy correlation rules can be obtained from a given database. Our work can assist the telecom service provider in finding the services highly related to the most popular telecom service. This kind of information is quite useful for the telecom service provider to provide the appropriate services to their customers for effective churn management.
Analysis and Classification of Crithidia Luciliae Fluorescent Images
Authors: Paolo Soda, Leonardo Onofri, Amelia Rigon, Giulio Iannello
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

Autoantibody tests based on Crithidia Luciliae (CL) substrate are the recommended method to detect Systemic Lupus Erythematosus (SLE), a very serious sickness further to be classified as an invalidating chronic disease. CL is an unicellular organism containing a strongly tangled mass of circular dsDNA, named as kinetoplast, whose fluorescence determines the positiveness to the test. Conversely, the staining of other parts of cell body is not a disease marker, thus representing false positive fluorescence. Such readings are subjected to several issues limiting the reproducibility and reliability of the method, as the photo-bleaching effect and the inter-observer variability. Hence, Computer-Aided Diagnosis (CAD) tools can support physicians decision. In this paper we propose a system to classify CL wells based on a three stages recognition approach, which classify single cell, images and, finally, the well. The fusion of such different information permits to reduce the misclassifications effect. The approach has been successfully tested on an annotated dataset, proving its feasibility.
A Private Key Management Scheme
Authors: Huming Gao, Xin Lv
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

A safety private key management scheme ispresent in this paper. It uses an online assistantserver to cooperates with user device to performprivate key operation. And a light-weightbidirectional authentication is used beforepublic key algorithm that can avoid Denial ofService attack. Our scheme was more suitablefor private key operation in frequency.
UC3M: classification of semantic relations between nominals using sequential minimal optimization
Authors: Isabel Segura Bedmar, Doaa Samy, Jose L. Martinez
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper presents a method for automatic classification of semantic relations between nominals using Sequential Minimal Optimization. We participated in the four categories of SEMEVAL task 4 (A: No Query, No Wordnet; B: WordNet, No Query; C: Query, No WordNet; D: WordNet and Query) and for all training datasets. Best scores were achieved in category B using a set of feature vectors including lexical file numbers of nominals obtained from WordNet and a new feature WordNet Vector designed for the task.
A Probability-Based Approach to Attack Graphs Generation
Authors: Anming Xie, Li Zhang, Jianbin Hu, Zhong Chen
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

Attack graphs are important tools for analyzing network security vulnerabilities. Recently, the generation method of attack graphs is a hot topic to the security researchers. As previous works encounter the scalability problem and inaccurate input information problem, we propose a novel method to automatic construction of attack graphs based on probability. After introducing prior-probability, match-probability,and transition-probability into attack graphs generation process, we develop a new attack model and relevant generation algorithms. Our method uses threshold and key states to control the scale of result attack graphs with important attack paths reserved. The following experiments show our approach could get meaningful results with less time and space, especially when one wants to get a few shortest attack paths quickly.
Proceedings of the Workshop on Deep Linguistic Processing
Venue: ACL Workshops (2007)

This workshop was conceived with the aim of bringing together the different computational linguistic subcommunities which model language predominantly by way of theoretical syntax, either in the form of a particular theory (e.g. CCG, HPSG, LFG, TAG or the Prague School) or a more general framework which draws on theoretical and descriptive linguistics. We characterise this style of computational linguistic research as deep linguistic processing, due to it aspiring to model the complexity of natural language in rich linguistic representations. Aspects of this research have in the past had their own separate fora, such as the ACL 2005 workshop on deep lexical acquisition, as well as TAG+, Alpino, ParGram and DELPHIN meetings. However, since the fundamental approach of building a linguistically-founded system, as well as many of the techniques used to engineer efficient systems, are common across these projects and independent of the specific grammar formalism chosen, we felt the need for a common meeting in which experiences could be shared among a wider community.
Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks
Authors: Pedro G. Oliveira, André L. Coelho
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

Missing data is a common issue in almost every real-world dataset. In this work, we investigate the relative merits of applying two imputation schemes for coping with this problem while designing radial basis function network classifiers, which show sensitiveness to the existence of missing values. Whereas the first scheme centers upon the k-nearest neighbor algorithm and has been deployed with success in other supervised/unsupervised learning contexts, the second is based on a simple genetic algorithm model and has not been fully explored so far.
Digital Workshop Layout Evaluation and Adjustment Based on the Fuzzy-AHP and Generic Algorithm
Authors: Chen Bing, Wang Shaowei, Li Shan, Wang Gang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

The framework for evaluation and adjustment workshop layout has been designed in the paper. The evaluation system according to the characters in the manufacturing process of aero-engine production has been constructed. The fuzzy-AHP method is put forward to evaluate workshop layout. In order to adjust workshop layout according to the schema optimized, the generic algorithm has been designed. At the same time, a case study on aero-engine workshop layout evaluation is given to demonstrate the above ideas.