ppxscal/embedding_network huggingface dataset:
Enabling OLAP in mobile environments via intelligent data cube compression techniques
Authors: Alfredo Cuzzocrea, Filippo Furfaro, Domenico Saccà
Venue: Journal of Intelligent Information Systems (2009)

The main drawbacks of handheld devices (small storage space, small size of the display screen, discontinuance of the connection to the WLAN etc) are often incompatible with the need of querying and browsing information extracted from enormous amounts of data which are accessible through the network. In this application scenario, data compression and summarization have a leading role: data in a lossy compressed format can be transmitted more efficiently than the original ones, and can be effectively stored in handheld devices (setting the compression ratio accordingly). In this paper, we introduce a very effective compression technique for multidimensional data cubes, and the system Hand-OLAP, which exploits this technique to allow handheld devices to extract and browse compressed two-dimensional OLAP views coming from multidimensional data cubes stored on a remote OLAP server localized on the wired network. Hand-OLAP effectively and efficiently enables OLAP in mobile environments, and also enlarges the potentialities of Decision Support Systems by taking advantage from the "naturally" decentralized nature of such environments. The idea which the system is based on is: rather than querying the original multidimensional data cubes, it may be more convenient to generate a compressed OLAP view of them, store such view into the handheld device, and query it locally (off-line), thus obtaining approximate answers that are suitable for OLAP applications.
Transaction Behavior and Volatility of Price Signals in Futures Market
Authors: Yu Zhao, Yu Zhang, Chunjie Qi
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Taking soybean futures on Dalian Commodity Exchange for example, the paper studies the relationship between transaction behavior of agricultural futures investors and volatility of futures price. Most previous researches use parametric models to study price volatility, but estimation of volatility is efficient only when the form of general parametric models is rational and all assumptions are fulfilled. Wavelet analysis has good time-frequency and zoom characteristics, with which we can improve the reliability of research conclusion because we don’t need to build volatile model to describe volatility. The paper decomposes price signals by using Db wavelet and calculates the co-integration relationship between transaction behavior and each frequency component of price signals. Research conclusion shows: (1) price volatility mainly results from short-term factors, and short-term volatility is much violent than long-term volatility. (2)There is a long-term equilibrium relationship between high-frequency signal and transaction behavior.
Automatically Determining Attitude Type and Force for Sentiment Analysis
Authors: Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabrizio Sebastiani
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, require the construction of large and complex lexicons, giving values for multiple sentiment-related attributes to many different lexical items. For example, a key attribute is what type of attitude is expressed by a lexical item; e.g., beautiful expresses appreciation of an object's quality, while evil expresses a negative judgment of social behavior. In this chapter we describe a method for the automatic determination of complex sentiment-related attributes such as attitude type and force, by applying supervised learning to WordNet glosses. Experimental results show that the method achieves good effectiveness, and is therefore well-suited to contexts in which these lexicons need to be generated from scratch.
Mechanism of selective Si3N4 etching over SiO2 in hydrogen-containing fluorocarbon plasma
Authors: Lele Chen, Linda Xu, Dongxia Li, Bill Lin
Venue: Microelectronic Engineering (2009)

This paper describes the mechanism of selective Si"3N"4 etching over SiO"2 in capacitively-coupled plasmas of hydrogen-containing fluorocarbon gas, including CHF"3, CH"2F"2 and CH"3F. The etch rate of Si"3N"4 and SiO"2 is investigated as a function of O"2 percentage in all plasma gases. Addition of O"2 in feed gases causes plasma gas phase change especially H density. The SiO"2 etch rate decreases with increase of O"2 percentage due to the decline of CF"x etchant. The Si"3N"4 etch rate is found to be strong correlated to the H density in plasma gas phase. H can react with CN by forming HCN to reduce polymer thickness on Si"3N"4 surface and promote the removal of N atoms from the substrate. Thus the Si"3N"4 etch rate increases with H intensity. As a result, a relative high selectivity of Si"3N"4 over SiO"2 can be achieved with addition of suitable amount of O"2 which corresponds to the maximum of H density.
Brief paper: The filter design from data (FD2) problem: Nonlinear Set Membership approach
Authors: M. Milanese, C. Novara, K. Hsu, K. Poolla
Venue: Automatica (Journal of IFAC) (2009)

In the paper, we consider the problem of designing a filter that, operating on noisy measurements of input u and output y of a dynamical system, gives estimates (possibly optimal in some sense) of some other variable of interest z. A large body of literature exists, which investigates this problem assuming that the system equations relating u, y and z are known. However, in most practical situations, the system equations are not (completely) known, but a data set composed of noisy measurements of u, y and z is available. In such situations, a two-step procedure is typically adopted: a model is identified from the set of measured data, and the filter is designed on the basis of the identified model. In this paper, we propose an alternative solution, which uses the available data set of measured u, y and z not for the identification of system dynamics, but for the direct design of the filter. Such a direct design is investigated within the Nonlinear Set Membership framework. In the case of full observability, an almost optimal filter is derived, where optimality refers to minimizing a worst-case estimation error. In the case of partial observability, conditions are given for which the direct design is guaranteed to give bounded estimation error. Three examples are presented, related to the Lorenz chaotic system the first two, and to an automotive application the third one.
Integer Programming: Optimization and Evaluation Are Equivalent
Authors: James B. Orlin, Abraham P. Punnen, Andreas S. Schulz
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

We show that if one can find the optimal value of an integer linear programming problem in polynomial time, then one can find an optimal solution in polynomial time. We also present a proper generalization to (general) integer programs and to local search problems of the well-known result that optimization and augmentation are equivalent for 0/1-integer programs. Among other things, our results imply that PLS-complete problems cannot have "near-exact" neighborhoods, unless PLS = P.
A Variational Framework for Non-local Image Inpainting
Authors: Pablo Arias, Vicent Caselles, Guillermo Sapiro
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to their superior performance in textured images, a known weakness of purely local methods. Local methods on the other hand have demonstrated to be very appropriate for the recovering of geometric structure such as image edges. The synthesis of both types of methods is a trend in current research. Variational analysis in particular is an appropriate tool for a unified treatment of local and non-local methods. In this work we propose a general variational framework for the problem of non-local image inpainting, from which several previous inpainting schemes can be derived, in addition to leading to novel ones. We explicitly study some of these, relating them to previous work and showing results on synthetic and real images.
Evaluate the Personnel Training Effect of Electric Power Enterprise Based on AHP-FUZZY Approach
Authors: Qiao Hong, Dong Xue-chen, Yu Jin-long
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Human resources are the primary resources of an enterprise. Personnel training can cultivate core competence and achieve the success. In view of the existing fuzziness and randomness in the training effect comprehensive evaluation, an index system, which comprises the first class indices such as training condition, training management and training effect, was put forward; and then a two stage fuzzy assessment model for training effect evaluation was established by applying the theory of fuzzy mathematics. The concept of AHP model was also used so as to obtain the objective weight of each index and avoid subjective effect. This method not only improves the scientificalness and objectivity on training effect evaluation by quantitative computation, which provides theoretical basis for making a clearer training aim and further improvement on training quality.
Case-Based Support for Forestry Decisions: How to See the Wood from the Trees
Authors: Conor Nugent, Derek Bridge, Glen Murphy, Bernt-Håvard Øyen
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

In forestry, it is important to be able to accurately determine the volume of timber in a harvesting site and the products that could potentially be produced from that timber. We describe new terrestrial scanning technology that can produce a greater volume of higher quality data about individual trees. We show, however, that scanner data still often produces an incomplete profile of the individual trees. We describe Cabar, a case-based reasoning system that can interpolate missing sections in the scanner data and extrapolate to the upper reaches of the tree. Central to Cabar's operation is a new asymmetric distance function, which we define in the paper. We report some preliminary experimental results that compare Cabar with a traditional approach used in Ireland. The results indicate that Cabar has the potential to better predict the market value of the products.
Quantitative in vitro characterization of transformed cell lines as a model for metastatic dissemination
Authors: Leandra Sepe, Concita Cantarella, Francesca Fioretti, Giovanni Paolella
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

Tumour invasion and metastatic dissemination depends on cell motility, a process that may be studied and quantitatively evaluated by analysing multidimensional digital images. Current methods allow to keep track of the paths followed by specific objects and perform statistical analysis on the recorded data. By adapting a set of tools, independently developed for studying cell movement, to work with multidimensional images, the motility of cells transformed by Ras and Src oncogenes has been evaluated. Fluorescent staining methods in vivo have been used to mark cells and membrane structures, in combination with optical sectioning techniques, to follow cell changes in space and time. The described procedures allow to highlight the motility features of Ras transformed fibroblasts better than Boyden chambers, a tool often used to evaluate the invasiveness of transformed cell lines in end-point assays, and allowed to understand its complexity as deriving from the combination of a variety of cellular processes, all involved, at a different extent, in the assay.
An Adaptive Temperament-Based Information Filtering Method: for User Customized Selection and Presentation of On- Line Communication
Authors: Cha-Hwa Lin
Venue:  (2009)

One of the main limitations of information filtering is its inability to specify and support human factors to satisfy the user. Temperament-based information filtering model was proposed in our earlier study as a solution to characterize the information space by taking human factors, particularly human temperament, into consideration. In this study, a prototype system was developed and demonstrated in two application domains - a document collection and an art image collection by utilizing a combination of simulation and user-studies testing. The results of our experiments indicate that temperament-based filtering outperforms content- based filtering in most of the cases. Being empowered with the knowledge of human temperament, the management of the conceptual cohesiveness between the disordered information space presented by a computing system and the user's recognition of the real world may be enhanced, and the goal to better satisfy the user may be achieved. 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
Service-Level Agreements for Service-Oriented Computing
Authors: Allan Clark, Stephen Gilmore, Mirco Tribastone
Venue: Recent Trends in Algebraic Development Techniques: 19th International Workshop, WADT 2008, Pisa, Italy, June 13-16, 2008, Revised Selected Papers (2009)

Service-oriented computing is dynamic. There may be many possible service instances available for binding, leading to uncertainty about where service requests will execute. We present a novel Markovian process calculus which allows the formal expression of uncertainty about binding as found in service-oriented computing. We show how to compute meaningful quantitative information about the quality of service provided in such a setting. These numerical results can be used to allow the expression of accurate service-level agreements about service-oriented computing.
A numerical hand model for a virtual glove rehabilitation system
Authors: Danilo Franchi, Alfredo Maurizi, Giuseppe Placidi
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

Hand rehabilitation, following stroke or hand surgery, is a repetitive and long duration therapy that can be facilitated with the assistance of gloves based on sensors. These devices can be substituted by a simple and inexpensive system based on the images acquired by 4 cameras and numerical analysis. In this paper we present a numerical hand model used in this system which describes the kinematic of the hand. Preliminary experimental data to test the proposed model have also been reported.
Flow Field Visualization with a New Self-adapting Iteration Algorithm
Authors: Yizhong Song, Zhimin Zhao
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

A new self-adapting refraction tomography was applied to quantitative measurement of temperature distribution of a flow field. The flow field was given with an alcohol burner. Moire patterns of flow field were produced and captured with a home-made rotary Moire deflectometer. The information of fringe pattern was extracted by phase unwrapping technique with Fourier transform. The relative projection was obtained by theoretical calculation. The density distribution of axisymmetric flow field was calculated by simple self-correlative algebraic reconstruction technique (SSART) based on deflection angles as projections. Eight projections with equal direction interval by 20 degree were used for reconstructing density distribution of a field section. The relative temperature distribution was figured out by theoretical calculation. The actual temperature values of some points on the section were measured with a thermoelectric couple meter, in order to verify the reconstructed result. As the result, the peak error in lab simulation experiment was 4.5%. So, SSART with refraction angle as projection is a super self-adapting refraction tomography.
Assigning Vocation-Related Information to Person Clusters for Web People Search Results
Authors: Hiroshi Ueda, Harumi Murakami, Shoji Tatsumi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Distinguishing people with identical names is becoming more and more important in searches on the Web. This research assigns useful labels to help users select person clusters that are separated into different people from the result of person searches on the Web. We proposed a method to label person clusters with vocation-related information (VRI). VRI includes broader terms that may not be considered vocations as well as terms that are useful to infer vocations, not only those rigorously defined as vocations. Our method is comprised of two processes: (a) extraction of VRI candidates using HTML structure and heuristics, and (b) VRI generation using term frequency, clustering synonyms, and calculation using a Web search engine. Experimental results revealed the usefulness of our proposed method.
Analyzing Real-Time Event-Driven Programs
Authors: Pierre Ganty, Rupak Majumdar
Venue: Proceedings of the 7th International Conference on Formal Modeling and Analysis of Timed Systems (2009)

Embedded real-time systems are typically programmed in low-level languages which provide support for event-driven task processing and real-time interrupts. We show that the model checking problem for real-time event-driven Boolean programs for safety properties is undecidable. In contrast, the model checking problem is decidable for languages such as Giotto which statically limit the creation of tasks. This gives a technical reason (static analyzability) to prefer higher-level programming models for real-time programming, in addition to the usual readability and maintainability arguments.
Stress Analytic Computation of Throttle Slice of Telescopic Shock Absorber
Authors: Changcheng Zhou, Jie Meng, Yuanyi Liu
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

The deformation, internal forces and stress of throttle slice of shock absorber were analyzed, the mathematical model of stress was found through the relation of stress with the deformation. Followed is a practical example of stress analytic computation, together with other approximate methods by Machine Design Book and by ANSYS, compared the results of stress computation, and analyzed the declination to the new method. The results show that the stress model and analytic computation method is accurate enough, can be used to compute the stress at any radius position of single throttle slice of shock absorber.
Advance Detour Strategy for Geographic Routing in Wireless Sensor Networks
Authors: Zheng Guping, Wang Yu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Location-based routing protocols are known to have high efficiency, robustness and scalability are suitable to be deployed in wireless sensor networks (WSNs). Greedy Forwarding algorithm is an attractive localized routing scheme for WSNs, but the routing void problem is inevitable due to various actual geographical environments, e.g., puddles obstacles, uneven energy consumption or even physical destruction. In order to solve this problem, an advance detour strategy was proposed. If routing void problem appears, detour strategy is adopted. This method can advance detour routing void area, reduce the energy consumptions of nodes. The simulation results show that the strategy is superior to other protocols in terms of packet delivery delay, short routing distance and energy consumptions, adapt to rapid changes network topology dynamic situation.
Person identification from text and speech genre samples
Authors: Jade Goldstein-Stewart Ransom Winder, Roberta Evans Sabin
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, we describe experiments conducted on identifying a person using a novel unique correlated corpus of text and audio samples of the person's communication in six genres. The text samples include essays, emails, blogs, and chat. Audio samples were collected from individual interviews and group discussions and then transcribed to text. For each genre, samples were collected for six topics. We show that we can identify the communicant with an accuracy of 71% for six fold cross validation using an average of 22,000 words per individual across the six genres. For person identification in a particular genre (train on five genres, test on one), an average accuracy of 82% is achieved. For identification from topics (train on five topics, test on one), an average accuracy of 94% is achieved. We also report results on identifying a person's communication in a genre using text genres only as well as audio genres only.
SAR Image Processing Based on Fast Discrete Curvelet Transform
Authors: Zhang Zhiyu, Zhang Xiaodan, Zhang Jiulong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Curvelet transform is a new kind of multiscale analysis algorithm which is more suitable for image processing, as compared with Wavelet it can better analysis the line and curve edge characteristics, and it has better approximation precision and sparsity description, also has good directivity. This paper introduces that remote sensing image speckle reduction based on Curvelet transform. Synthetic Aperture Radar (SAR) image is easily polluted by speckle noise, which can affect further processing of SAR image. This paper put forward method of SAR image speckle deduction based on Fast Discrete Curvelet Transform (FDCT). This method firstly transform SAR image to Curvelet domain by using FDCT, and get the Curvelet coefficient, then estimate the Curvelet coefficient threshold of different scale and direction by using adaptive threshold method, treatment on Curvelet coefficient with hard threshold and soft threshold respectively, and the last recovery the original image by using IFDCT. This paper uses this method to single-look SAR image and compare with Wavelet de-noising method, the result shows that the effect of Curvelet flitting is better than Wavelet flitting, and the soft threshold is better than hard threshold.
SemEval-2007 task 01: evaluating WSD on cross-language information retrieval
Authors: Eneko Agirre, Bernardo Magnini, Oier Lopez de Lacalle, Arantxa Otegi, German Rigau, Piek Vossen
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper presents a first attempt of an application-driven evaluation exercise of WSD. We used a CLIR testbed from the Cross Lingual Evaluation Forum. The expansion, indexing and retrieval strategies where fixed by the organizers. The participants had to return both the topics and documents tagged with WordNet 1.6 word senses. The organization provided training data in the form of a pre-processed Semcor which could be readily used by participants. The task had two participants, and the organizer also provide an in-house WSD system for comparison.
Explanation support for the case-based reasoning tool myCBR
Authors: Daniel Bahls, Thomas Roth-Berghofer
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

Case-Based Reasoning, in short, is the process of solving new problems based on solutions of similar past problems, much like humans solve many problems. myCBR, an extension of the ontology editor Protégé, provides such similarity-based retrieval functionality. Moreover, the user is supported in modelling appropriate similarity measures by forward and backward explanations.