ppxscal/embedding_network huggingface dataset:
An Efficient Identity-Based Online/Offline Encryption Scheme
Authors: Joseph K. Liu, Jianying Zhou
Venue: Proceedings of the 7th International Conference on Applied Cryptography and Network Security (2009)

In this paper, we present an efficient Identity-based Online / Offline Encryption (IBOOE) scheme. An IBOOE scheme allows one to split the encryption into two phases. In the offline phase, most heavy computations such as exponentiation or pairing, if any, are done in this phase. Yet it does not require the knowledge of the plaintext or the receiver's identity. This nice property allows it can be executed `offline', or inside some powerful device. The next phase is called the online phase, where only light computations such as integer addition, multiplication or hashing are needed, together with the plaintext and the receiver's identity. This can be executed inside some embedded device such as smart card or wireless sensor where the computation power is very limited. We propose an efficient IBOOE scheme, with great improvement in the computation requirement of both the offline, online encryption phase and decryption phase, together with much shorten ciphertext over previous schemes. Our scheme can be proven secure in the random oracle model.
Gaining insight in domestic violence with Emergent Self Organizing Maps
Authors: Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, Guido Dedene
Venue: Expert Systems with Applications: An International Journal (2009)

Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the past years, new types of Self Organizing Maps (SOM) were introduced in the literature, including the recent Emergent SOM. The ESOM tool is used here to analyze a large set of police reports describing a wide range of violent incidents that occurred during the year 2007 in the Amsterdam-Amstelland police region (the Netherlands). This article aims to demonstrate that the ESOM tool provides a valuable exploratory instrument for examining unstructured text in police reports. First, it is shown how ESOM was used to discover a range of new features that better distinguish domestic from non-domestic violence cases. Second, it is demonstrated how this resulted in a significant improvement in classification accuracy. Third, the ESOM tool facilitates an in-depth investigation of the nature and scope of domestic violence, which is particularly useful for the domain expert. Interestingly, it was discovered that the definition of domestic violence employed by the management was much broader than the definition employed by police officers. Fourth, the ESOM tool enables an accurate and automated assignment of either a domestic or a non-domestic violence label to unclassified cases. Finally, ESOM is a highly accurate and comprehensible case triage model for detecting and retrieving wrongly classified cases.
Preserving digital data in heterogeneous environments
Authors: Gonçalo Antunes, José Barateiro, Manuel Cabral, José Borbinha, Rodrigo Rodrigues
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

Digital preservation aims at maintaining digital objects accessible over a long period of time, regardless of the challenges of organizational or technological changes or failures. In particular, data produced in e-Science domains could be reliably stored in today's data grids, taking advantage of the natural properties of this kind of infrastructure to support redundancy. However, to achieve reliability we must take into account failure interdependency. Taking into account the fact that correlated failures can affect multiple components and potentially cause complete loss of data, we propose a solution to evaluate redundancy strategies in the context of heterogeneous environments such as data grids. This solution is based on a simulation engine that can be used not only to support the process of designing the preservation environment and related policies, but also later on to observe and control the deployed system.
Combination Prediction Model of Traffic Flow Based on Rough Set Theory
Authors: Hongyan Gao, Fasheng Liu
Venue: Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 02 (2009)

The prediction of traffic flow plays an important part in Intelligent Transportation System. Due to the nonlinear and stochastic characteristic of traffic flow, it is difficult to predict traffic flow accurately. In order to improve the prediction precision, a combination prediction model based on rough set and knowledge entropy is proposed. The relative data model between prediction object and prediction model, and the decision table are established by means of converting continuous attribute values into discrete attribute values. Then the weight coefficients of the combination prediction model are determined by evaluating significance of every single prediction model with rough set and knowledge entropy theory. The proposed approach overcomes the limitation of the single prediction model, and makes the determination of weight coefficients more objective. Simulation results show the proposed combination prediction model outperforms any of the single prediction models.
Finite-Element Non-conforming h-Adaptive Strategy Based on Autonomous Leaves Graph
Authors: Diego Brandão, Sanderson L. Gonzaga De Oliveira, Mauricio Kischinhevsky
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Adaptive mesh refinement techniques are used in order to decrease the computational cost associated with the numerical solution of Partial Differential Equations. In this work, the refined mesh is represented by a graph data structure. More precisely. this scheme follows the Autonomous Leaves Graph concepts. The objective is to construct an adaptive mesh refinement with lower cost than tree-based schemes. Moreover, the Autonomous Leaves Graph was initially proposed with the Finite Volume Method and a Modified Hilbert Curve was used for the total-ordering of the control volumes. This work proposes to integrate the Autonomous Leaves Graph and the Finite Element Method as well as to adapt the Modified Hilbert Curve for this scheme. Furthermore, a non-conforming h-adaptive strategy is implemented. This approach is applied in the solution of the Poisson equation problem and the experimental results are discussed.
Towards Trajectory Anonymization: a Generalization-Based Approach
Authors: Mehmet Ercan Nergiz, Maurizio Atzori, Yücel Sayg&#x131;n, Bar&#x131;ʂ Güç
Venue: Transactions on Data Privacy (2009)

Trajectory datasets are becoming popular due to the massive usage of GPS and location-based services. In this paper, we address privacy issues regarding the identification of individuals in static trajectory datasets. We first adopt the notion of k-anonymity to trajectories and propose a novel generalization-based approach for anonymization of trajectories. We further show that releasing anonymized trajectories may still have some privacy leaks. Therefore we propose a randomization based reconstruction algorithm for releasing anonymized trajectory data and also present how the underlying techniques can be adapted to other anonymity standards. The experimental results on real and synthetic trajectory datasets show the effectiveness of the proposed techniques.
Evaluating responses containing both correct and incorrect information
Authors: Sylvia Encheva, Sharil Tumin
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

Knowledge assessment is strongly related to what kind of answer alternatives should be included while establishing students' level of mastering of a particular concept. Introducing various types of answer alternatives helps to attain a higher level of certainty in the process of decision making.
Automatic titling for international sporting events
Authors: Jesús Martínez Barbero, Eugenio Santos Menendez, Abraham Gutierrez Rodríguez
Venue: Proceedings of the 4th edition of the UPGRADE-CN workshop on Use of P2P, GRID and agents for the development of content networks (2009)

In sporting event transmissions of international significance, broadcasting in each country is carried out by the owner of the rights for that particular country. The output signal (program signal) (1) in the original production center normally contains the graphic elements presented in the language considered the most international: English. The problem created by this 'dirty' signal in the different broadcasters is double: On one hand, title adaptation produces the superposition (2) of different graphics on a same image. On the other hand, those titles will remain in the channel's historical files. In order to solve the previous problem, different options are presently being taken, which involve increased program production costs. This is also aggravated by the introduction of high definition production. In this article, an inexpensive solution is proposed for the adaptation of these titles to each country. This solution is based on the use of the distribution and video production current infrastructure, for titling (3) in the channel's natural language. In this manner we offer the audiences a more competitive product, without cost increase involved.
Peta-scale data warehousing at Yahoo!
Authors: Mona Ahuja, Cheng Che Chen, Ravi Gottapu, Jörg Hallmann, Waqar Hasan, Richard Johnson, Maciek Kozyrczak, Ramesh Pabbati, Neeta Pandit, Sreenivasulu Pokuri, Krishna Uppala
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Insights based on detailed data on consumer behavior, product performance and marketplace behavior are driving innovation and competition in the internet space. We introduce Everest, a SQL-compliant data warehousing engine, based on a column architecture that we have built and deployed at Yahoo!. In contrast to commercially available engines, this massively parallel engine, based on commodity hardware, offers scale, flexibility, specialized analytic operations, and lower administrative & hardware costs. In this paper, we describe the business motivation and the software and deployment architecture of Everest. The engine is in production at Yahoo! since 2007 and currently manages over six petabytes of data.
Programming Logic and Design, Introductory, 5th edition
Authors: Joyce Farrell
Venue:  (2007)

With a clear writing style that is stripped of highly technical jargon, Programming Logic and Design, Introductory, 5E provides beginning programmers with a guide to developing structured program logic. The book's main goal is to introduce universal programming concepts while enforcing good style and logical thinking along the way. Designed for readers with little or no programming language experience, it begins with basic general programming concepts and key concepts of structure. Coverage then progresses to the intricacies of decision-making, looping, array manipulation, methods, and finally a summary chapter that incorporates all of these principles in a discussion of control break programs. The newly revised fifth edition has been updated to reflect the current state of the industry and the learning needs of today's beginning programmers. Finally, in the successful tradition of previous editions, it is not language specific, so the logic learned in this book can be applied to any programming language.
A 485ps 64-bit parallel adder in 0.18µm CMOS
Authors: Dong-Yu Zheng, Yan Sun, Shao-Qing Li, Liang Fang
Venue: Journal of Computer Science and Technology (2007)

This paper presents an optimized 64-bit parallel adder. Sparse-tree architecture enables low carry-merge fanouts and inter-stage wiring complexity. Single-rail and semi-dynamic circuit improves operation speed. Simulation results show that the proposed adder can operate at 485ps with power of 25.6mW in 0.18µm CMOS process. It achieves the goal of higher speed and lower power.
Towards Automatic Detection of Potentially Important International Events/Phenomena from News Articles at Mostly Domestic News Sites
Authors: Pham Van Hai, Takahiro Aoyagi, Tomoya Noro, Takehiro Tokuda
Venue: Proceeding of the 2007 conference on Information Modelling and Knowledge Bases XVIII (2007)

Unlike the relative success of general Web search engines detecting important Web pages, it is not yet easy to detect potentially important events/phenomena (other than obvious major newspaper top headlines) happening outside the country from observations of news articles on the Web. Current news index sites or news provider sites such as Google News, BBC, CNN, and Reuters, try to present streams of latest news. We present a new approach to automatic detection of potentially important events/phenomena happening outside the country based on the monitoring of a number of different mostly domestic news sites.
A method to protect from no pulse for a three-phase rectifier bridge connected with the resistive-inductive load
Authors: Borcosi Ilie, Olaru Onisifor, Popescu Marius-Constantin, Antonie Nicolae, Dinca Alina, Ionescu Marian
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

In this paper we will propose a way to detect if aren't working the electronic valves (diodes, thyristors and transistors) of the three-phase rectifiers commanded or not with resistive load or resistive-inductive load.
On the effect of twist angle on nonlinear galloping of suspended cables
Authors: Angelo Luongo, Daniele Zulli, Giuseppe Piccardo
Venue: Computers and Structures (2009)

A nonlinear model of cable, able to twist, is formulated. For small sag-to-length ratios (e.g. 1/10) and technical parameter values proper to electrical transmission lines, the motion is ruled by the classical equations of the perfectly flexible cable, plus a further equation governing the twist evolution. A two degree-of-freedom system is successively obtained via a Galerkin procedure. The relevant nonlinear ODE's are dealt with a Multiple Scale approach, under 2:1 internal resonance condition and no resonance conditions, in order to investigate Hopf bifurcations and post-critical behaviors. All the numerical results are compared with those furnished by the flexible model, and the influence of twist is discussed.
Partial evaluation for optimized compilation of actor-oriented models
Authors: Edward A. Lee
Venue:  (2008)

One major achievement of traditional computer science is systematically abstracting away the physical world. The Von Neumann model provides a universal abstraction for sequential computation. The concept is so simple and powerful for transformational systems (vs. reactive systems [Berry1989]) that any traditional program can run regardless of underlying platform&mdash;whether it is a supercomputer or a desktop. Embedded software systems, however, engage the physical world. Time, concurrency, liveness, continuums and reactivity must be remarried to computation [Lee2006J. In order to reason about these properties, a programming model must be able to express these properties directly. The traditional techniques for doing concurrent programming on top of sequential programming languages like C use threads complemented with synchronization mechanisms like semaphores and mutual exclusion locks. These methods are at best retrofits to the fundamentally sequential formalism and are hard to understand, difficult to debug, brittle and error-prone. Actor-oriented design presents a high level abstraction for composing concurrent components. There is a rich variety of concurrency formalisms that span the whole spectrum from most expressive to most analyzable. In particular, I will focus on one particular model of computation called heterochronous dataflow (HDF) which strikes a nice balance between expressiveness and analyzability. However, high level abstraction often introduces overhead and results in slower systems. In component based design, generic components are highly parameterized for reusability and thus are less efficient. The well-defined interface between components results in flexible composition but increases the cost of inter-component communication through the interface. In the second part of this thesis, I will address the problem of generating an efficient implementation from a high level specification. I use partial evaluation as an optimized compilation technique for actor-oriented models. Compared with traditional compiler optimization, partial evaluation for embedded software works at the component level and heavily leverages domain-specific knowledge. Through model analysis&mdash;the counterpart of binding-time analysis in the use of partial evaluation for general purpose software [Jones1993], the tool can discover the static parts in the model including data types, buffer sizes, parameter values, model structures and execution schedules, etc. and then exploit the already known information to reach a very efficient implementation. I use a helper-based mechanism, which leads to flexible and extensible code generation framework. The end result is that the benefit offered by high level abstraction comes with (almost) no performance penalty. The code generation framework described in this dissertation has been released in open source as part of Ptolemy II and can be downloaded from http://ptolemy.org/.
Ubuntu Linux Toolbox: 1000+ Commands for Ubuntu and Debian Power Users
Authors: Christopher Negus, Francois Caen
Venue:  (2007)

In this handy, compact guide, youll explore a ton of powerful Ubuntu Linux commands while you learn to use Ubuntu Linux as the experts do: from the command line. Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Then, apply the skills you learn from this book to use and administer desktops and servers running Ubuntu, Debian, and KNOPPIX or any other Linux distribution.
Heuristic-Search-Based Light Positioning According to Irradiance Intervals
Authors: Francesc Castro, Esteve Acebo, Mateu Sbert
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

We present a strategy to solve the problem of light positioning in a closed environment. We aim at obtaining, for a global illumination radiosity solution, the position and emission power for a given number of lights that provide a desired illumination at a minimum total emission power. Such a desired illumination is expressed using minimum and/or maximum values of irradiance allowed. A pre-process is needed in which irradiance is computed for a pre-established set of light positions by means of a random walk. The reuse of paths makes this pre-process reasonably cheap. Different heuristic-search strategies are explored and compared in our work, which, combined to linear programming, make it possible to efficiently visit the search space and, in most cases, obtain a good solution at a reasonable cost.
Plausibility schemas: templates for legal factfinding
Authors: Vern R. Walker
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

This paper describes a default-logic framework (plausibility schemas) and software tools (Decision Apprentice&trade; and Legal Apprentice&trade;) for modeling, guiding and automating the reasoning from evidence in a legal record to a finding of fact.
An action decision model for emotions based on transactional analysis
Authors: Hamido Fujita, Natsumi Sawai, Jun Hakura, Masaki Kurematsu
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

Human computer Interaction based on emotional modeling has been investigated and reported in this paper. Human personality has been analyzed based on ego-gram analysis and accordingly human "SELF" emotional model has been created. We have created as one part a computerized model which reflects a human user (in this paper Miyzawa Kenji model) impeded as a computer model and through it, an emotional interaction between that model and the real human user is established. The interaction scenarios and reasoning are based on transactional analysis. We have implemented the system and empirically, examined it, as experiment in public space for revision and evaluation.
Visualized decision making: development and applications of information visualization techniques to improve decision quality of nursing home choice
Authors: John T. Stasko
Venue:  (2008)

An individual&rsquo;s decision to place a close family member in a nursing home is both difficult and crucial. To assist consumers with such a decision, several initiatives have led to the creation of public websites designed to communicate quality indicators for nursing homes. However, a majority of consumers fail to fully utilize this information for various reasons, such as the multidimensionality, complexity, and uncertainty of the information. Some of the difficulties may be alleviated by information visualization (InfoVis) techniques. However, several unsuccessful attempts in applying InfoVis to decision making suggest that a thorough understanding of the user&rsquo;s perspective is necessary. Accordingly, the author has developed an InfoVis tool for the decision domain of choice of a nursing home. First, a framework of overarching InfoVis and decision theories, called the &ldquo;visualized decision making (VDM)&rdquo; framework, has been developed and contextualized within the selection of a nursing home. Second, a decision-support tool using several InfoVis techniques such as the weighting slider bar and the distribution view have been designed for application within the framework, and the designed tool, called &ldquo;VDM,&rdquo; was implemented. Third, VDM was empirically tested through a webbased experiment and follow-up interviews. The results of this study showed that individuals faced with the decision of selecting a nursing home could make fairly high quality decisions when they used VDM. Though the effects of proposed InfoVis techniques were not evident, this study provided the theoretical framework and empirical results which may help other designers of InfoVis techniques because this work addresses several issues consumers face when choosing a nursing home that can be generalized to other decision making contexts.
Taking Control of Redundancy in Scripted Tutorial Dialogue
Authors: Pamela W. Jordan, Patricia Albacete, Kurt VanLehn
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

We describe extensions to a finite-state dialogue manager and its author scripting language that enable control over content repetition during tutorial dialogue. The problem of controlling redundancy requires the specification of complex conditions on the discourse history that are beyond the capabilities of the intended users of the scripting language. We show that the problem can be addressed by adding semantic labelling and the marking of optional steps and difficulty levels to the scripting language and heuristic algorithms to the dialogue manager.