ppxscal/embedding_network huggingface dataset:
Identifying task-level parallelism by functional transformation with side-effect domains
Authors: Shawn Outman
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

Functional programming languages typically minimize side effects and make the side effects that do exist explicit. This allows a compiler to easily extract task-level parallelism. Imperative languages rely on the programmer to order each operation to account for hidden side effects. An imperative compiler is not easily able to extract parallelism since it cannot always know if two operations are independent. In this paper, we introduce the concept of side-effect domains, where external API functions are declared as belonging to domains in which side-effects only affect functions with common domains. We describe techniques to use dependence graphs with the introduction of side-effect dependences to transform imperative application logic into a functional representation in which task-level parallelism can be identified.
Comparing graph-based representations of protein for mining purposes
Authors: Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo
Venue: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics (2009)

Recently, the principles of graph theory are being adopted to address molecular and chemical structures investigations such as 3D protein structure prediction and spatial motifs discovery. Proteins have been parsed into graphs according to several approaches and methods and then studied based on graph theory concepts and data mining tools. In this paper we make a brief survey on the most used graph-based representations and we propose a na&iuml;ve method to help with the protein graph making since a key step of a valuable protein structure mining process is to build concise and correct graphs holding reliable information. We, also, show that some existing and widespread methods present remarkable weaknesses and don't really reflect the real protein conformation.
Trusted Identity for All: Toward Interoperable Trusted Identity Management Systems
Authors: Piotr Pacyna, Anthony Rutkowski, Amardeo Sarma, Kenji Takahashi
Venue: Computer (2009)

The ubiquitous deployment of systems for collecting, processing, and sharing personally identifiable information for service delivery makes every person vulnerable to online theft of identity data, thus undermining confidence in information technologies. This has led to the expansion of research on several digital identity management topics, including improving trustworthiness and privacy.
Accidental Homeschoolers
Authors: John Edelson
Venue: eLearn (2009)

The media creates an image of homeschoolers as a backward-looking dogmatic group who are withdrawing from mainstream society, but this is far from the truth. Indeed, homeschoolers are often progressive, pragmatic, highly sociable, and enthusiastic e-learning families. This article describes the path many parents have taken after placing their children in traditional schools, becoming dissatisfied, and then shifting to homeschooling as an 'accidental' change in direction.
Knowledge-intensive conceptual retrieval of biomedical literature
Authors: Clement Yu
Venue:  (2008)

Biologists search for biomedical literature on a daily basis. A concept-based approach via utilizing biomedical lexical resources was developed to improve the retrieval effectiveness of biomedical literature. A database of abbreviations and their definitions was created from MEDLINE. A number of techniques within this approach were developed and evaluated, including: (i) mapping query terms to MeSH terms and UMLS concepts; (ii) adding synonyms, hyponyms and hypernyms of query terms, (iii) adding lexical variants of gene symbols and implicitly related terms; (iv) utilizing two similarity functions, one measuring concept similarities between the query and the documents and another one measuring term similarities between the query and documents; (v) disambiguation of abbreviations; and (vi) utilizing abbreviated query terms to match related terms in documents. This concept-based approach was applied to two tasks that address two important information needs of biologists. TASK I: Answering questions of biologists regarding the relationships between biological objects and biological processes; TASK II: Finding biological entities that satisfy certain conditions from texts. The findings reveal that incorporating domain-specific knowledge by utilizing biomedical lexical resources in a concept-base approach significantly improved the retrieval effectiveness of our information retrieval system and it is critical to the success of such a biomedical IR system. The major challenge in our future work is how to utilize these biomedical domain knowledge (or resources) more appropriately.
TLM method for thermal investigation of IGBT modules in PWM mode
Authors: R. Hocine, S. H. Pulko, A. Boudghene Stambouli, A. Saidane
Venue: Microelectronic Engineering (2009)

The insulated gate bipolar transistor (IGBT) is popularly used in high power, high frequency power-electronic applications such as motor control and inverters. These applications require well designed thermal management system to ensure the protection of IGBTs. Choice simulation tools for accurate prediction of device power dissipation and junction temperature become important in achieving optimised designs. In this paper, thermal analysis of a 1200A, 3.3kV IGBT module was investigated and analysed using the three-dimensional transmission line matrix (3D-TLM) method. The results show a three-dimensional visualisation of self-heating phenomena in the device. Since the comparison TLM results with the analytical solutions do not exist for this IGBT module, we use the MSC.NASTRAN tool to find the similar range of the temperatures. Results are compared. Typically, IGBT is used in a three-phase inverter leg where the control signals are generated via PWM scheme so, the prediction of the temperature rise is important in the pulse operation conditions for the IGBT device. A view of the dynamic thermal temperature rise is obtained with 100W-step pulse dissipation applied at IGBT chips. The temperature rises are calculated using TLM method during the PWM load cycles. Simulations give clear indications of the importance of the spreader material and are helpful in selecting the proper one. TLM has been successful in modelling heat diffusion problems and has proven to be efficient in terms of stability and complex geometry. The three-dimensional results show that method has a considerable potential in power devices thermal analysis and design.
The 3DID face alignment system for verifying identity
Authors: Dirk Colbry, George Stockman
Venue: Image and Vision Computing (2009)

The 3DID system verifies the identity of a cooperative person by matching a sensed 3D surface of the face to a face model stored during a prior enrollment. First, anchor point detection is performed based on a shape index; then, a rigid alignment is determined between the observed and model face anchor points. A best alignment is determined using an improved Iterative Closest Point (ICP) algorithm that aligns the surfaces allowing for trimming of 10% noise points. Trimmed Root Mean Squared (RMS) error for the same person is almost always smaller than 1.3mm; whereas for different persons, it is almost always larger than this threshold. Performance analysis shows that the 3DID system is fast enough (
Color video segmentation using fuzzy c-mean clustering with spatial information
Authors: M. Arfan Jaffar, Bilal Ahmed, Nawazish Naveed, Ayyaz Hussain, Anwar M. Mirza
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

Video segmentation can be considered as a clustering process that classifies one video succession into several objects. Spatial information enhances the quality of clustering which is not utilized in the conventional FCM. Normally fuzzy c-mean (FCM) algorithm is not used for color video segmentation and it is not robust against noise. In this paper, we presented a modified version of fuzzy c-means (FCM) algorithm that incorporates spatial information into the membership function for clustering of color videos. We used HSV model for decomposition of color video and then FCM is applied separately on each component of HSV model. For optimal clustering, grayscale image is used. Additionally, spatial information is incorporated in each model separately. The spatial function is the summation of the membership function in the neighborhood of each pixel under consideration. The advantages of this new method are: (a) it yields regions more homogeneous than those of other methods for color videos; (b) it reduces the spurious blobs; and (c) it removes noisy spots. It is less sensitive to noise as compared with other techniques. This technique is a powerful method for noisy color video segmentation and works for both single and multiple-feature data with spatial information.
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing
Authors: Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius Truta
Venue: Transactions on Data Privacy (2008)

Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity model was proposed for privacy preserving data publication. While focusing on identity disclosure, k-anonymity model fails to protect attribute disclosure to some extent. Many efforts are made to enhance the k-anonymity model recently. In this paper, we propose two new privacy protection models called (p, α)-sensitive k-anonymity and (p+, α)-sensitive k-anonymity, respectively. Different from previous the p-sensitive k-anonymity model, these new introduced models allow us to release a lot more information without compromising privacy. Moreover, we prove that the (p, α)-sensitive and (p+, α)-sensitive k-anonymity problems are NP-hard. We also include testing and heuristic generating algorithms to generate desired micro data table. Experimental results show that our introduced model could significantly reduce the privacy breach.
Development of an accelerated GVF semi-automatic contouring algorithm for radiotherapy treatment planning
Authors: Xingen Wu, Sharon A. Spencer, Sui Shen, John B. Fiveash, Jun Duan, Ivan A. Brezovich
Venue: Computers in Biology and Medicine (2009)

Fast contouring is important in image-guided radiation therapy (IGRT) and adaptive radiation therapy (ART) where large computed tomography (CT) volumes have to be segmented. In this study, a modified active contour (also called snake) segmentation method based on a faster gradient-vector-flow (GVF) calculation algorithm is proposed. The accelerated method was tested on multiple organs, including lung, right ventricle, kidney and prostate. Compared to the original algorithm, the improved one reduced GVF calculation times to one-half or less without compromising contour accuracy.
Hypercrime: The New Geometry of Harm, 1st edition
Authors: Michael McGuire
Venue:  (2007)

Hypercrime develops a new theoretical approach toward current reformulations in criminal behaviours, in particular the phenomenon of cybercrime. Emphasizing a spatialized conception of deviance, one that clarifies the continuities between crime in the traditional, physical context and developing spaces of interaction such as a 'cyberspace', the book analyzes criminal behaviours in terms of the destructions, degradations or incursions to a hierarchy of regions that define our social world. Each chapter outlines violations to the boundaries of each of these spaces - from those defined by our bodies or our property, to the more subtle borders of the local and global spaces we inhabit. By treating cybercrime as but one instance of various possible criminal virtualities, the book develops a general theoretical framework, as equally applicable to the, as yet unrealized, technologies of criminal behaviour of the next century, as it is to those which relate to contemporary computer networks. Cybercrime is thereby conceptualized as one of a variety of geometries of harm, merely the latest of many that have extended opportunities for illicit gain in the physical world. Hypercrime offers a radical critique of the narrow conceptions of cybercrime offered by current justice systems and challenges the governing presumptions about the nature of the threat posed by it. 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
A variable voltage MPPT control method for photovoltaic generation system
Authors: Liu Liqun, Wang Zhixin
Venue: WSEAS Transactions on Circuits and Systems (2009)

To increase the output efficiency of a photovoltaic (PV) generation system it is important to have an efficient maximum power point tracking (MPPT) technique. This paper describes the analysis, design and implementation of an efficient tracking method for a stand-alone PV generation system, which automatically adjusts the reference of output voltage to track the maximum power point (MPP) by using the expiatory program. Compared with the conventional constant voltage (CV) method, the proposed approach can effectively improve the tracking speed and accuracy simultaneously. Furthermore, an improved control system is designed for the pulse-width-modulation (PWM) inverter to achieve the objective of MPPT. Theoretical analysis and principle of proposed method are presented and simulation results are given to verify the validity of control method.
Experimental study for high effective mobility with directly deposited HfO2/La2O3 MOSFET
Authors: T. Kawanago, J. Song, K. Kakushima, P. Ahmet, K. Tsutsui, N. Sugii, T. Hattori, H. Iwai
Venue: Microelectronic Engineering (2009)

We experimentally examine the effective mobility in nMOSFETs with La"2O"3 gate dielectrics without SiO"x-based interfacial layer. The reduced mobility is mainly caused by fixed charges in High-k gate dielectrics and the contribution of the interface state density is approximately 30% at N"s=5x10^1^1cm^-^2 in the low 10^1^1cm^-^2eV^-^1 order. It is considered that one of the effective methods for improving mobility is to utilize La-silicate layer formed by high temperature annealing. However, there essentially exists trade-off relationship between high temperature annealing and small EOT.
A property of quantum relative entropy with an application to privacy in quantum communication
Authors: Rahul Jain, Jaikumar Radhakrishnan, Pranab Sen
Venue: Journal of the ACM (JACM) (2009)

We prove the following information-theoretic property about quantum states. Substate theorem: Let &rho; and &sigma; be quantum states in the same Hilbert space with relative entropy S(&rho; &par; &sigma;) &colone; Tr &rho; (log &rho;&minus; log &sigma;) &equals; c. Then for all &epsi; > 0, there is a state &rho;&prime; such that the trace distance &par;&rho;&prime; &minus; &rho;&par;tr &colone; Tr &sqrt;(&rho;&prime; &minus; &rho;)2 &le; &epsi;, and &rho;&prime;/2O(c/&epsi;2) &le; &sigma;. It states that if the relative entropy of &rho; and &sigma; is small, then there is a state &rho;&prime; close to &rho;, i.e. with small trace distance &par;&rho;&prime; &minus; &rho;&par;tr, that when scaled down by a factor 2O(c) &lsquo;sits inside&rsquo;, or becomes a &lsquo;substate&rsquo; of, &sigma;. This result has several applications in quantum communication complexity and cryptography. Using the substate theorem, we derive a privacy trade-off for the set membership problem in the two-party quantum communication model. Here Alice is given a subset A &subse; [n], Bob an input i &in; [n], and they need to determine if i &in; A. Privacy trade-off for set membership: In any two-party quantum communication protocol for the set membership problem, if Bob reveals only k bits of information about his input, then Alice must reveal at least n/2O(k) bits of information about her input. We also discuss relationships between various information theoretic quantities that arise naturally in the context of the substate theorem.
Modeling passenger human model behavior in the case of rear impact
Authors: Daniel Trusca, Bogdan Benea, Adrian Soica, Stelian Tarulescu
Venue: Proceedings of the 2nd WSEAS international conference on Multivariate analysis and its application in science and engineering (2009)

Improving of the vehicle inner passive safety is a matter of utmost topical, which entails taking specific steps in order to reduce the consequences of the traffic events. The collision between two vehicles represents an elasto-plastic crash. Consequently, no results can be obtained without taking into account the conservation law impulse or of the kinematic moment, in addition, provided trajectories motor vehicles are almost parallel, methods graphic giving no satisfaction. Mathematical modeling of passenger movement during head impact may be a success "tool" in establishing mechanism of the neck injury, especially when working in parallel with experimental studies.
Java EE 5 Development using GlassFish Application Server: The complete guide to installing and configuring the GlassFish Application Server and developing ... 5 applications to be deployed to this server
Authors: David Heffelfinger
Venue:  (2007)

This book is a Developer's Guide, covering the ins and outs of developing Java EE 5 applications deployed to the standards-compliant, high performance GlassFish application server. GlassFish is a free, open-source Java EE 5-compliant application server that is quickly gaining massive popularity. This book explains GlassFish installation and configuration, and then moves on to Java EE 5 application development, covering all major Java EE 5 APIs. Chapter 1 provides an overview of Glassfish, including how to install it, configure it, and verify the installation. Chapter 2 covers how to develop server-side web applications using the Servlet API. Chapter 3 explains how to develop web applications using JavaServer Pages (JSPs), including how to develop and use JSP custom tags. Chapter 4 discusses how to develop Java EE applications that interact with a relational database system through the Java Persistence API (JPA) and through the Java Database Connectivity API (JDBC). Chapter 5 explains how to use the JSP Standard Tag Library (JSTL) when developing JavaServer Pages. Chapter 6 covers how to develop applications using the JavaServer Faces (JSF) component framework to build web applications. Chapter 7 explains how to develop messaging applications though the Java Messaging Service (JMS) API. Chapter 8 covers securing J2EE applications through the Java Authentication and Authorization Service (JAAS). Chapter 9 discusses how to develop Enterprise Java Beans that adhere to the EJB 3 specification. Chapter 10 explains how to develop and deploy web services that conform to the JAX-WS 2.1 specification. Chapter 11 covers frameworks that build on top of the Java EE 5 specification, including Seam, Facelets, and Ajax4Jsf. The appendices cover some of the advanced features of the GlassFish server. Concise guide covering all major aspects of Java EE 5 development Uses the enterprise open-source GlassFish application serverExplains GlassFish installation and configurationCovers all major Java EE 5 APIs The book aims to speed up the reader in Java EE 5 development. All major Java EE 5 APIs and the details of the GlassFish server are covered followed by examples of its use.
Methodologies for Continuous Cellular Tower Data Analysis
Authors: Nathan Eagle, John A. Quinn, Aaron Clauset
Venue: Proceedings of the 7th International Conference on Pervasive Computing (2009)

This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of existing community detection methodologies to identify salient locations based on the network generated by tower transitions. The tower groupings from these unsupervised clustering techniques are subsequently validated using data from Bluetooth beacons placed in the homes of the subjects. We then use these inferred locations as states within several dynamic Bayesian networks (DBNs) to predict dwell times within locations and each subject's subsequent movements with over 90% accuracy. We also introduce the X-Factor model, a DBN with a latent variable corresponding to abnormal behavior. By calculating the entropy of the learned X-Factor model parameters, we find there are individuals across demographics who have a wide range of routine in their daily behavior. We conclude with a description of extensions for this model, such as incorporating contextual and temporal variables already being logged by the phones.
A low-power baseband modem architecture for a mobile RFID reader
Authors: Seok Joong Hwang, Joon Goo Lee, Seon Wook Kim, Jihun Koo, Woo Shik Kang
Venue: Journal of Embedded Computing (2009)

Currently the RFID (Radio Frequency IDentification) systems become used in many areas, especially for delivery, manufacturing, and maintenance of goods. For example, a tag reader or a tag interrogator communicates with tags attached on goods, reads their identification codes, and accesses their related database through a network infrastructure. This approach makes it easy to maintain goods very efficiently in large-scale markets, delivery systems, and so on. There are many research activities in RFID systems for industrial applications, but there is few on mobile and portable devices such as cellular phones and PDAs. This paper presents an architecture overview of a multi-protocol RFID reader on mobile devices with detailed description of hardware implementation. We have considered several design parameters, such as low power consumption, cost effectiveness and flexibility. Also, since our architecture supports WIPI (Wireless Internet Platform for Interoperability), any WIPI application can use our RFID reader's functionalities to query tags' information from Internet through HAL interfaces. We prototyped our system on the ARM-based Excalibur FPGA with iPAQ PDA, and also a chip with 0.18~um technology for verification of our architecture.
Texture analysis for ulcer detection in capsule endoscopy images
Authors: Baopu Li, Max Q. -H. Meng
Venue: Image and Vision Computing (2009)

Capsule endoscopy (CE) has gradually seen its wide application in hospitals in the last few years because it can view the entire small bowel without invasiveness. However, CE produces too many images each time, thus causing a huge burden to physicians, so it is meaningful to help clinicians if we can employ computerized methods to diagnose. This paper presents a new texture extraction scheme for ulcer region discrimination in CE images. A new idea of curvelet based local binary pattern is proposed as textural features to distinguish ulcer regions from normal regions, which makes full use of curvelet transformation and local binary pattern. The proposed new textural features can capture multi-directional features and show robustness to illumination changes. Extensive classification experiments using multilayer perceptron neural network and support vector machines on our image data validate that it is promising to employ the proposed texture features to recognize ulcer regions in CE images.