ppxscal/embedding_network huggingface dataset:
Contextualized mobile recommendation service based on interactive social network discovered from mobile users
Authors: Jason J. Jung
Venue: Expert Systems with Applications: An International Journal (2009)

Personal context is the most significant information for providing contextualized mobile recommendation services at a certain time and place. However, it is very difficult for service providers to be aware of the personal contexts, because each person's activities and preferences are very ambiguous and depending on numerous unknown factors. In order to deal with this problem, we have focused on discovering social relationships (e.g., family, friends, colleagues and so on) between people. We have assumed that the personal context of a certain person is interrelated with those of other people, and investigated how to employ his neighbor's contexts, which possibly have a meaningful influence on his personal context. It indicates that we have to discover implicit social networks which express the contextual dependencies between people. Thereby, in this paper, we propose an interactive approach to build meaningful social networks by interacting with human experts. Given a certain social relation (e.g., isFatherOf), this proposed systems can evaluate a set of conditions (which are represented as propositional axioms) asserted from the human experts, and show them a social network resulted from data mining tools. More importantly, social network ontology has been exploited to consistently guide them by proving whether the conditions are logically verified, and to refine the discovered social networks. We expect these social network is applicable to generate context-based recommendation services. In this research project, we have applied the proposed system to discover the social networks between mobile users by collecting a dataset from about two millions of users.
Scheduling and coding for unicast in multi-radio systems: the two-user case
Authors: Feng Xue, Xue Yang
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

Cross-layer scheduling and coding for the coexistence between two wireless networks, a primary network and a secondary network, are considered for the case of two users. Both networks want to transmit to the users, which, however, cannot receive simultaneously on the two radios. Subject to fading and random interruption from the primary network modeled as continuous Markov chain, the secondary network optimizes its scheduling (probing/transmission time/ACK) and coding to maximize its throughput. Performances of several algorithms are considered, which characterize the relationship among important system parameters and shed light on system design.
An efficient algorithm for Volt/Var control at distribution systems including DER
Authors: Taher Niknam
Venue: Journal of Intelligent Fuzzy Systems: Applications in Engineering and Technology (2009)

Distributed energy resource (DER) systems are small-scale power generation technologies used to provide an alternative to or an enhancement of the traditional electric power system. These generators are usually connected to distribution networks. This paper presents a new price based methodology to daily Volt/Var control in distribution systems including DERs. DERs have much impact on the daily Volt/Var control according to the small X/R ratio and radial configuration of distribution systems. Due to private ownership of DERs, a price-based compensation methodology is proposed as a proper signal to encourage owners of DERs in active and reactive power generation. Since daily Volt/Var control is a mixed integer nonlinear programming problem, an evolutionary algorithm based on Ant Colony Optimization (ACO) is used to determine the active and reactive power values of DERs, reactive power values of capacitors and tap positions of transformers for the next day. The results indicate that the proposed encouraging factor has improved the performance of distribution networks on a large scale.
The Software Vulnerability Guide
Authors: Herbert H. Thompson, Scott G. Chase
Venue:  (2007)

In todays market, secure software is a must for consumers. Many developers, however, are not familiar with the techniques needed to produce secure code or detect existing vulnerabilities. The Software Vulnerability Guide focuses on the origin of most software vulnerabilities, including the bugs in the underlying software used to develop IT infrastructures and the Internet. Most of these security bugs (and the viruses, worms, and exploits that derive from them) started out as programmer mistakes. With this easy-to-use guide, professional programmers and testers will learn how to recognize and prevent these vulnerabilities before their software reaches the market. For each of the 30 common software vulnerabilities featured the authors provide a summary, description of how the vulnerability occurs, and famous examples of how it has been used. Tips on how to find and fix the vulnerability in software are also provided along with source code snippets, commentary, tools, and techniques in easy-to-read sidebars. This guide is a must-have for todays software developers. KEY FEATURES * Includes coding examples in a variety of languages, including C, C++, Java, VB, .NET, scripting languages, and more * Provides tips for uncovering vulnerabilities in a diverse array of systems, including what it may look like in code, and how the offending code can be fixed * Covers vulnerabilities such as permitting default or weak passwords, cookie poisoning, exchanging sensitive data in plain text, leaving things in memory, and format string attacks * Includes a CD-ROM with all of the source code, as well as many freeware/shareware tools discussed in the book
The business of softwareContagious craziness, spreading sanity
Authors: Phillip G. Armour
Venue: Communications of the ACM (2009)

Some examples of the upward or downward spiral of behaviors in the workplace.
Mining social documents and networks
Authors: Ding Zhou
Venue:  (2008)

The Web has connected millions of users by various communication tools for social purposes. Daily, huge amount of social data are being created through fingertips, driven by various of social actions that involve a wide range of user-produced content (e.g. emails or collaborative documentations). Often being a part of many contemporary Web applications, user social networks are gaining increasing attention from both industry and academia as they seem to have become a promising vehicle for delivering better user experience. Accordingly, computational social network analysis has become an important topic in user data mining. Despite a long history of structural social network analysis and recent interests in user behavior analysis, little research has addressed social contents in social networks and heterogeneous networks in user behavior. In fact, social content and heterogeneity are two key elements in contemporary online social networks that offer great benefits: social contents provide more semantic information; meanwhile heterogeneous social networks allow diversified perception of users. Motivated by these considerations, this dissertation seeks to improve traditional computational social network analysis by covering analysis of not only (1) social networks of users; but also (2) social content composed by users, and (3) social actions among users. A series of new methods are presented for knowledge discovery in social documents and social networks, with a special focus on modeling social content and machine learning of heterogeneous networks. In particular, this study first proposes new probabilistic content models for user generated social documents and annotations and investigates the connection between social content and social actions. A set of new techniques for computational analysis of heterogeneous social networks constructed by various social actions constitutes the conclusion. The methods proposed in this dissertation have been applied to a wide range of applications including ranking, community discovery, information retrieval, and document recommendations. For large scale real world data sets, this research shows significant experimental improvements over currently applied methods.
Teaching Model for Computational Science and Engineering Programme
Authors: Hayden Stainsby, Ronal Muresano, Leonardo Fialho, Juan Carlos González, Dolores Rexachs, Emilio Luque
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

Computational Science and Engineering is an inherently multidisciplinary field, the increasingly important partner of theory and experimentation in the development of knowledge. The Computer Architecture and Operating Systems department of the Universitat Autònoma de Barcelona has created a new innovative masters degree programme with the aim of introducing students to core concepts in this field such as large scale simulation and high performance computing. An innovative course model allows students without a computational science background to enter this arena. Students from different fields have already completed the first edition of the new course and positive feedback has been received from students and professors alike. The second edition is in development.
A Resource List Management Tool for Undergraduate Students Based on Linked Open Data Principles
Authors: Chris Clarke
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

Resource List Management tools help educators create and publish lists of resources relevant to students undertaking a particular module, course or assignment. Traditional approaches to online delivery of these lists have been limited by lack of interoperability and integration with other campus systems, poor take-up by instructors and brittle linking strategies which break as institutions shift suppliers for e-content from year to year. In this paper we present a Resource List Management tool that uses Semantic Web technologies and Linked Data principles to overcome these limitations and improve the interoperability of data contained within such systems. 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
TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
Authors: Ya-Xi Chen, Rodrigo Santamaría, Andreas Butz, Roberto Therón
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

TagClouds is a popular visualization for the collaborative tags. However it has some instinct problems such as linguistic issues, high semantic density and poor understanding of hierarchical structure and semantic relation between tags. In this paper we investigate the ways to support semantic understanding of collaborative tags and propose an improved visualization named TagClusters. Based on the semantic analysis of the collaborative tags in Last.fm, the semantic similar tags are clustered into different groups and the visual distance represents the semantic similarity between tags, and thus the visualization offers a better semantic understanding of collaborative tags. A comparative evaluation is conducted with TagClouds and TagClusters based on the same tags collection. The results indicate that TagClusters has advantages in supporting efficient browsing, searching, impression formation and matching. In the future work, we will explore the possibilities of supporting tag recom-mendation and tag-based Music Retrieval based on TagClusters.
Evolving quorum sensing in digital organisms
Authors: Benjamin E. Beckmann, Philip K. McKinley
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

For centuries it was thought that bacteria live asocial lives. However, recent discoveries show many species of bacteria communicate in order to perform tasks previously thought to be limited to multicellular organisms. Central to this capability is quorum sensing, whereby organisms detect cell density and use this information to trigger group behaviors. Quorum sensing is used by bacteria in the formation of biofilms, secretion of digestive enzymes and, in the case of pathogenic bacteria, release of toxins or other virulence factors. Indeed, methods to disrupt quorum sensing are currently being investigated as possible treatments for numerous diseases, including cystic fibrosis, epidemic cholera, and methicillin-resistant Staphylococcus aureus. In this paper we demonstrate the evolution of a quorum sensing behavior in populations of digital organisms. Specifically, we show that digital organisms are capable of evolving a strategy to collectively suppress self-replication, when the population density reaches a specific, evolved threshold. We present the evolved genome of an organism exhibiting this behavior and analyze the collective operation of this "algorithm." Finally, through a set of experiments we demonstrate that the behavior scales to populations up to 400 times larger than those in which the behavior evolved.
COBIT Security Baseline: An Information Survival Kit, 2nd Edition, 2nd edition
Venue:  (2007)

This guide is based on COBIT 4.1, consists of a comprehensive set of resources that contains the information organizations need to adopt an IT governance and control framework. COBIT covers security in addition to all the other risks that can occur with the use of IT. COBIT Security Baseline focuses on the specific risk of IT security in a way that is simple to follow and implement for the home user or the user in small to medium enterprises, as well as executives and board members of larger organizations. It provides the following elements: Useful background reading: An introduction to information security An explanation of why security is important and examples of the most common things that can go wrong Thought-provoking questions to help determine the risk The COBIT-based security baseline, providing key controls and mapping to ISO 17799 Information security survival kits, providing essential awareness messages for: Home users Professional users Managers Executives Senior executives Boards of directors An appendix containing a summary of technical security risks 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 new function algebra of EXPTIME functions by safe nested recursion
Authors: Toshiyasu Arai, Naohi Eguchi
Venue: ACM Transactions on Computational Logic (TOCL) (2009)

Bellantoni and Cook have given a function-algebra characterization of the polynomial-time computable functions via an unbounded recursion scheme which is called safe recursion. Inspired by their work, we characterize the exponential-time computable functions with the use of a safe variant of nested recursion.
A single chip, double channel thermal flow meter
Authors: P. Bruschi, M. Dei, M. Piotto
Venue: Microsystem Technologies (2009)

The fabrication and experimental characterization of a thermal flow meter, capable of detecting and measuring two independent gas flows with a single chip, is described. The innovative aspect of the sensor is the use of a plastic adapter, thermally sealed to the chip, to convey the gas flow only to the chip areas where the sensors are located. The packaging approach allowed placing two micrometric differential thermal anemometers, present on 4&#x00a0;&#x00d7;&#x00a0;4&#x00a0;mm2 silicon chips, into distinct flow channels. The reduced spacing between the sensing structures required positioning of the latter on channel bends, introducing sensitivity reduction and response asymmetries with respect to single channel devices presented earlier. These effects are explained using fluid-dynamic simulations.
Handbook of Computational Intelligence in Manufacturing and Production Management
Authors: Dipak Laha, Dipak Laha, Purnendu Mandal
Venue:  (2007)

During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.
Common knowledge in interaction structures
Authors: Krzysztof R. Apt, Andreas Witzel, Jonathan A. Zvesper
Venue: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (2009)

We consider two simple variants of a framework for reasoning about knowledge amongst communicating groups of players. Our goal is to clarify the resulting epistemic issues. In particular, we investigate what is the impact of common knowledge of the underlying hypergraph connecting the players, and under what conditions common knowledge distributes over disjunction. We also obtain two versions of the classic result that common knowledge cannot be achieved in the absence of a simultaneous event (here a message sent to the whole group).
Do we mean the same?: disambiguation of extracted keyword queries for database search
Authors: Elena Demidova, Irina Oelze, Peter Fankhauser
Venue: Proceedings of the First International Workshop on Keyword Search on Structured Data (2009)

Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an available relevant document, e.g. a web-page or an e-mail attachment, rather than a query. Database search engines are mostly adapted to the queries manually created by the users. In case a user's informational need is expressed in terms of a document, we need algorithms that map keyword queries automatically extracted from this document to the database content. In this paper we analyze the impact of selected document and database statistics on the effectiveness of keyword disambiguation for manually created as well as automatically extracted keyword queries. Our evaluation is performed using a set of user queries from the AOL query log and a set of queries automatically extracted from Wikipedia articles both executed against the Internet Movie Database (IMDB). Our experimental results show that (1) knowledge of the document context is crucial in order to extract meaningful keyword queries; (2) statistics which enable effective disambiguation of user queries are not sufficient to achieve the same quality for the automatically extracted requests.
Performance of ad-hoc routing protocols with link state
Authors: Merlinda Drini, Tarek Saadawi
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

In order to improve the end-to-end performance of an ad-hoc network, we propose a feedback control mechanism that allows the network layer to adapt its routing protocol dynamically due to changing channel characteristics. In particular, information from the transmission channel, such as Signal to Noise Ratio (SNR), can provide valuable information to the source node about the transmission paths as far as ad hoc routing is concerned. We demonstrate our concept by applying it to the Dynamic Source Routing protocol (DSR). In our proposed mo dified DSR, both the route discovery and route selection are based on physical layer parameter and the link monitoring function located at each node. Our preliminary results from this routing scheme, DSR with link state, indicate that the performance metrics (such as throughput, end-to-end delay, Routing overhead etc.) are very good and less disposed to the state changes of the network when compared to the existing routing protocol DSR.
Coherent quantum LQG control
Authors: Hendra I. Nurdin, Matthew R. James, Ian R. Petersen
Venue: Automatica (Journal of IFAC) (2009)

Based on a recently developed notion of physical realizability for quantum linear stochastic systems, we formulate a quantum LQG optimal control problem for quantum linear stochastic systems where the controller itself may also be a quantum system and the plant output signal can be fully quantum. Such a control scheme is often referred to in the quantum control literature as ''coherent feedback control''. It distinguishes the present work from previous works on the quantum LQG problem where measurement is performed on the plant and the measurement signals are used as the input to a fully classical controller with no quantum degrees of freedom. The difference in our formulation is the presence of additional non-linear and linear constraints on the coefficients of the sought after controller, rendering the problem as a type of constrained controller design problem. Due to the presence of these constraints, our problem is inherently computationally hard and this also distinguishes it in an important way from the standard LQG problem. We propose a numerical procedure for solving this problem based on an alternating projections algorithm and, as an initial demonstration of the feasibility of this approach, we provide fully quantum controller design examples in which numerical solutions to the problem were successfully obtained. For comparison, we also consider the case of classical linear controllers that use direct or indirect measurements, and show that there exists a fully quantum linear controller which offers an improvement in performance over the classical ones.
Learning Human-Level AI abilities to drive racing cars
Authors: Francisco Gallego, Faraón Llorens, Mar Pujol, Ramón Rizo
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

The final purpose of Automated Vehicle Guidance Systems (AVGSs) is to obtain fully automatic driven vehicles to optimize transport systems, minimizing delays, increasing safety and comfort. In order to achieve these goals, lots of Artificial Intelligence techniques must be improved and merged. In this article we focus on learning and simulating the Human-Level decisions involved in driving a racing car. To achieve this, we have studied the convenience of using Neuroevolution of Augmenting Topologies (NEAT). To experiment and obtain comparative results we have also developed an online videogame prototype called Screaming Racers, which is used as test-bed environment.
PHP Interview Questions, Answers, and Explanations: PHP Certification Review PHP FAQ
Authors: Terry Sanchez-Clark
Venue:  (2007)

The Ultimate Reference & Learning Guide for PHP Programmers! Over 150 Questions, Answers, and Explanations It's clear that PHP is a must-know for any programmer who wants to stay competitive in today's oversaturated market. Over 150 PHP Certification Questions, Answers, and Explanations guide you through your learning process no matter your current level of PHP fluency. From helping you to assess your skills to evaluating candidates for a job, PHP Certification Questions, Answers, & Explanations will help you understand what you really need to know. The book is organized around application to both the production of dynamic web pages and server-side application software. Each question includes everything you need to know to master the interview or properly evaluate a candidate. More than just a rehash of Oracle documentation and sales presentations, each question is based on project knowledge and experience gained on successful high-profile Oracle implementations. Key certification and interview topics include: . PHP for web page output . Architecture and configuration . Syntax and trouble shooting . Security . PHP and data storage