ppxscal/embedding_network huggingface dataset:
Semantic Similarity between Concepts Based on OWL Ontologies
Authors: Min Xiao, Luo Zhong, Qianxing Xiong
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

With the widespread application of ontology in the fields of information retrieval, artificial intelligence etc, the concept similarity computation of different ontologies has been a research hot spot. At present, most research on concept similarity computation is based on “is a” relation between concepts, however, it does not utilize the concept semantic information completely, and the accuracy of calculating results is very poor. To solve this problem, a novel semantic similarity algorithm based on OWL ontologies is presented: Firstly, the method parses OWL ontologies, and then translates OWL ontologies into RDF triples, finally, utilizes an improved dynamic adjustment of the semantic weight of OWL constructors to calculate the semantic similarity. The experiment shows that the algorithm can obtain more accurate result.
A large deviations view of asymptotic efficiency for simulation estimators
Authors: Peter W. Glynn, Sandeep Juneja
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Consider a simulation estimator &alpha;(c) based on expending c units of computer time, to estimate a quantity &alpha;. One measure of efficiency is to attempt to minimize P(|&alpha;(c) -- &alpha;| > &epsilon;) for large c. This helps identify estimators with less likelihood of witnessing large deviations. In this article we establish an exact asymptotic for this probability when the underlying samples are independent and a weaker large deviations result under more general dependencies amongst the underlying samples.
Effects of dielectric charging on MEMS-based grating light modulator
Authors: Jie Zhang, Ji Yong Sun, Zhi Hai Zhang, Yong Zhu
Venue: Microsystem Technologies (2009)

Silicon dioxide and silicon nitride coatings are preferably used as dielectric layers for short-circuit protection in capacitive silicon MEMS based Grating Light Modulator (GLM). However, their tendency to electrostatic charging can diminish the device reliability. The influence of dielectric charges on GLM was discussed. Gas discharges and charges in the air gap of silicon cantilever GLM have been modeled and observed, resulting in surface charge accumulation on the electrode passivation of the devices. The impact of parasitic surface charges on the deflection versus voltage characteristics of bulk micromachined silicon cantilever GLM is investigated and measurements of the charge decay are shown in experimental results. Experimental results agree with the theoretical calculation well, which illustrates the influence of charging and discharging processing. One method is proposed to reduce the influence of dielectric charges.
Web Semantics for Intelligent and Dynamic Information Retrieval Illustrated within the Mental Health Domain
Authors: Maja Hadzic, Elizabeth Chang
Venue: Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web (2008)

Much of the available information covering various knowledge domains is distributed across various information resources. The issues of distributed and heterogeneous information that often come without semantics, lack an underlying knowledge base or autonomy, and are dynamic in nature of are hindering efficient and effective information retrieval. Current search engines that are based on syntactic keywords are fundamental for retrieving information often leaving the search results meaningless. Increasing semantics of web content (web semantics) would solve this problem and enable the web to reach its full potential. This would allow machines to access web content, understand it, retrieve and process the data automatically rather then only display it. In this paper we illustrate how the ontology and multi-agent system technologies which underpin this vision can be effectively implemented within the mental health domain. The full realisation of this vision is still to come.
Training Set Ranking and Selection Using Fuzzy Logic for Dynamic Plant Identifiers
Authors: N. Nahapetian, M. Analoui, M. R. Jahed Motlagh
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

As the training set is one of the critical sections in Neural Network domain, generating of it with prior knowledge can be extremely efficient. In this paper we have tried to explore the potential of using previously selected training set for the training of Dynamic Neural Network. The neural network was used as the core of identifier which tries to identify the internal behavior of structure-unknown non-linear time variant dynamic system. In this regard we extract some features from each training set, in frequency and stochastic domain and consequently set a rank for each. The selected training set is the one which got highest rank. We use industrial robot manipulator for the case study. It is shown that, using this approach, the error rate of modeling has been decreased and therefore the identifier performance and resolution increase to the levels which gained by using fully random generated signals as training set.
Temperature-aware dynamic frequency and voltage scaling for reliability and yield enhancement
Authors: Yu-Wei Yang, Katherine Shu-Min Li
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

A novel oscillation-based on-chip thermal sensing architecture for dynamically adjusting supply voltage and clock frequency in System-on-Chip (SoC) is proposed. It is shown that the oscillation frequency of a ring oscillator reduces linearly as the temperature rises, and thus provides a good on-chip temperature sensing mechanism. An efficient Dynamic Frequency-to-Voltage Scaling (DF2VS) algorithm is proposed to dynamically adjust supply voltage according to the oscillation frequencies of the ring oscillators distributed in SoC so that thermal sensing can be carried at all potential hot spots. An on-chip Dynamic Voltage Scaling or Dynamic Voltage and Frequency Scaling (DVS or DVFS) monitor selects the supply voltage level and clock frequency according to the outputs of all thermal sensors. Experimental results on SoC benchmark circuits show the effectiveness of the algorithm that a 10% reduction in supply voltage alone can achieve about 20% power reduction (DVS scheme), and nearly 50% reduction in power is achievable if the clock frequency is also scaled down (DVFS scheme). The chip temperature is reduced accordingly.
The Binary Stress Model for Graph Drawing
Authors: Yehuda Koren, Ali Çivril
Venue: Graph Drawing: 16th International Symposium, GD 2008, Heraklion, Crete, Greece, September 21-24, 2008. Revised Papers (2009)

We introduce a new force-directed model for computing graph layout. The model bridges the two more popular force directed approaches --- the stress and the electrical-spring models --- through the binary stress cost function, which is a carefully defined energy function with low descriptive complexity allowing fast computation via a Barnes-Hut scheme. This allows us to overcome optimization pitfalls from which previous methods suffer. In addition, the binary stress model often offers a unique viewpoint to the graph, which can occasionally add useful insight to its topology. The model uniformly spreads the nodes within a circle. This helps in achieving an efficient utilization of the drawing area. Moreover, the ability to uniformly spread nodes regardless of topology, becomes particularly helpful for graphs with low connectivity, or even with multiple connected components, where there is not enough structure for defining a readable layout.
Threat Assessment and Management Strategies: Identifying the Howlers and Hunters, 1st edition
Authors: Frederick S. Calhoun, J.D.,  Steve W. Weston
Venue:  (2008)

A crucial step in any successful threat management process is knowledge of the players involved. Some individuals truly intend violence (known as hunters), while others merely want to threaten or draw attention to themselves (howlers). Threat Assessment and Management Strategies: Identifying the Howlers and Hunters helps those who interact with questionable populations to identify problem behaviors and determine the appropriate preventative action.A successful threat management process does not necessarily depend on large staffs or huge resource commitments, but, instead, on attention to detail and a thoughtful approach. Through actual case studies and case analyses, this volume explains the best practices for assessing problem individuals and recommends the optimal protective response and management strategy. The authors provide key indicators of hunters and howlers, comparing and contrasting their behaviors and motivations. An entire chapter is devoted to analyzing the intimacy effect and demonstrating how it applies to law enforcement, specifically to interpersonal relationships involving targets of intended violence.Frederick S. Calhoun, Ph.D. was the principal architect in developing the threat-assessment process used by the U.S. Marshals Service for analyzing risks to federal judicial officials. Currently, he manages a national workplace violence prevention program for a large federal agency. Stephen J. Weston is a 32-year veteran of the California Highway Patrol. From 1991 to 2006, he managed the unit responsible for the investigation of threats against California state officials. Their combined expertise provides anyone who is involved in managing potentially violent situations with the guidance needed to contain the threat posed by these would-be predators.
A systematic review of search-based testing for non-functional system properties
Authors: Wasif Afzal, Richard Torkar, Robert Feldt
Venue: Information and Software Technology (2009)

Search-based software testing is the application of metaheuristic search techniques to generate software tests. The test adequacy criterion is transformed into a fitness function and a set of solutions in the search space are evaluated with respect to the fitness function using a metaheuristic search technique. The application of metaheuristic search techniques for testing is promising due to the fact that exhaustive testing is infeasible considering the size and complexity of software under test. Search-based software testing has been applied across the spectrum of test case design methods; this includes white-box (structural), black-box (functional) and grey-box (combination of structural and functional) testing. In addition, metaheuristic search techniques have also been applied to test non-functional properties. The overall objective of undertaking this systematic review is to examine existing work into non-functional search-based software testing (NFSBST). We are interested in types of non-functional testing targeted using metaheuristic search techniques, different fitness functions used in different types of search-based non-functional testing and challenges in the application of these techniques. The systematic review is based on a comprehensive set of 35 articles obtained after a multi-stage selection process and have been published in the time span 1996-2007. The results of the review show that metaheuristic search techniques have been applied for non-functional testing of execution time, quality of service, security, usability and safety. A variety of metaheuristic search techniques are found to be applicable for non-functional testing including simulated annealing, tabu search, genetic algorithms, ant colony methods, grammatical evolution, genetic programming (and its variants including linear genetic programming) and swarm intelligence methods. The review reports on different fitness functions used to guide the search for each of the categories of execution time, safety, usability, quality of service and security; along with a discussion of possible challenges in the application of metaheuristic search techniques.
Dissemination Protocols for Event-Based Service-Oriented Architectures
Authors: Brahim Medjahed
Venue: IEEE Transactions on Services Computing (2008)

The Event-driven, or notification-based, paradigm has attracted much research interest in areas such as distributed systems, databases, workflow, and grid computing. However, little attention was devoted to event-driven Service-Oriented Architectures (SOAs). In this paper, we propose a novel framework for event-based interactions in SOAs. Our contribution in this paper is threefold. First, we introduce various notification patterns for event-driven SOAs. We define two taxonomies for dissemination protocols in SOAs: the interaction taxonomy identifies the different models through which Web services interact with each other; and the filtering taxonomy classifies the events and services involved during dissemination. Second, we propose a dissemination pattern called implicit notification. In contrast to publish-subscribe, implicit notification does not require consumers to explicitly subscribe with producers. We define a model for implicit notifications and introduce a family of protocols for enabling this pattern. Finally, we describe a prototype implementation for a disaster management case study and conduct experiments to assess the performance of the proposed protocols.
A New Universal Combinatorial Operation Model with Unequal Weights
Authors: Lihua Fu, Huacan He
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

The existing universal combinatorial operation only discusses an ideal state that every factor is with equal weight. But every factor is generally with unequal weigh in practical complex system. This paper gives two kinds of general weighted operators. Based on the operators given, an unequal weights universal combinatorial operation model is proposed.
Enhanced cross-layer based middleware for mobile ad hoc networks
Authors: Mieso K. Denko, Elhadi Shakshuki, Haroon Malik
Venue: Journal of Network and Computer Applications (2009)

The middleware developed for traditional mobile wireless networks cannot be directly applied to mobile ad hoc networks (MANETs) due to MANET's salient characteristics such as node mobility and limited resources. Most existing message-oriented middleware for mobile networks rely on infrastructure or assume the existence of reliable and continuous connections among communicating entities. These schemes do not take advantage of cross-layer optimization. Publish/subscribe middleware has been widely used to provide asynchronous communication functionality in distributed application environments. Due to frequent node disconnections, asynchronous publish/subscribe message middleware is a proper communication model for mobile ad hoc networking environments. This paper presents mobility aware and a cross-layer based middleware (MOBCROSS) for MANETs. MOBCROSS is based on the publishing and subscription of topics. The main features of MOBCROSS are mobility awareness, network reconfiguration, message caching, and cross-layer interaction support. The performance of the middleware is evaluated in a simulation environment. MOBCROSS is compared with middleware without cross-layer (MWCL) scheme. MWCL provides caching but does not employ cross-layering. The simulation results indicated that MOBCROSS achieves higher performance as compared to MWCL with respect to packet delivery ratio with slightly lower message overhead.
Alleviating the Problem of Wrong Coreferences in Web Person Search
Authors: Octavian Popescu, Bernardo Magnini
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

In this paper we present a system for the Web People Search task, which is the task of clustering together the pages referring to the same person. The vector space model approached is modified in order to develop a more flexible clustering technique. We have implemented a dynamic weighting procedure for the attributes common to different cluster in order to maximize the between cluster variance with respect with the within cluster variance. We show that in this way the undesired collateral effect such as superposition and masking are alleviated. The system we present obtains similar results to the ones reported by the top three systems presented at the SEMEVAL 2007 competition.
Towards a generic framework for situated collaborative storytelling
Authors: Damian Hills, Yusuf Pisan, Ernest Edmonds
Venue: Proceedings of the 5th Australasian Conference on Interactive Entertainment (2008)

How we assimilate stories into our common experiences and shape culture is the field of study known as narrative intelligence. By following these assumptions and investigating theories of conversation and rhetoric, this paper outlines a generic framework for a visual collaborative storytelling system that emphasises participatory narration and shared understanding in a situated context.
Calculating float in linear schedules with singularity functions
Authors: Gunnar Lucko, Angel A. Peña Orozco
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

This paper presents an exact approach of calculating float for each activity in linear schedules. It is based on singularity functions, which have been used previously to determine the criticality of activities in said schedules. Singularity functions are versatile in that they can describe multiple changes of productivity within each activity, can be evaluated by hand if desired, and thus provide the basis for a complete schedule analysis methodology. Following a brief review of how activities and their buffers are modeled with singularity functions, this paper examines types of float that are commonly encountered in the critical path method of scheduling and develops an equivalent approach for linear schedules. An example from the literature is used to demonstrate the application of the new float analysis.
Predictive text input in a mobile shopping assistant: methods and interface design
Authors: Petteri Nurmi, Andreas Forsblom, Patrik Floréen, Peter Peltonen, Petri Saarikko
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

The fundamental nature of grocery shopping makes it an interesting domain for intelligent mobile assistants. Even though the central role of shopping lists is widely recognized, relatively little attention has been paid to facilitating shopping list creation and management. In this paper we introduce a predictive text input technique that is based on association rules and item frequencies. We also describe an interface design for integrating the predictive text input with a web-based mobile shopping assistant. In a user study we compared two interfaces, one with text input support and one without. Our results indicate that, even though shopping list entries are typically short, our technique makes text input significantly faster, decreases typing error rates and increases overall user satisfaction.
Monitoring the application-layer DDoS attacks for popular websites
Authors: Yi Xie, Shun-Zheng Yu
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

Distributed denial of service (DDoS) attack is a continuous critical threat to the Internet. Derived from the low layers, new application-layer-based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. The case may be more serious when such attacks mimic or occur during the flash crowd event of a popular Website. Focusing on the detection for such new DDoS attacks, a scheme based on document popularity is introduced. An Access Matrix is defined to capture the spatial-temporal patterns of a normal flash crowd. Principal component analysis and independent component analysis are applied to abstract the multidimensional Access Matrix. A novel anomaly detector based on hidden semi-Markov model is proposed to describe the dynamics of Access Matrix and to detect the attacks. The entropy of document popularity fitting to the model is used to detect the potential application-layer DDoS attacks. Numerical results based on real Web traffic data are presented to demonstrate the effectiveness of the proposed method.
The SilverLight Code 2.0 Edition - B&W Edition: The Secrets Guide to Microsoft Silverlight 2.0
Authors: Harry J. Misner
Venue:  (2008)

This Silverlight guide is must have for any programming, graphic design, web design, or Web Development Company. If you're looking to start your Computers & Internet training on Microsoft Silverlight then this guides for you. Supplying tips, tricks, and secrets to Microsoft Silver Light 2.0
Continua: The Impact of a Personal Telehealth Ecosystem
Authors: Frank Wartena, Johan Muskens, Lars Schmitt
Venue: Proceedings of the 2009 International Conference on eHealth, Telemedicine, and Social Medicine (2009)

The Continua Health Alliance is nearing the first release of its Design Guidelines, an important milestone towards the establishment of a personal telehealth ecosystem. These guidelines address the technical barrier for a personal telehealth ecosystem: interoperability amongst multivendor systems. This paper describes why it is essential to address interoperability, regulatory aspects of multi-vendor systems and reimbursement for establishment of a personal telehealth ecosystem. In addition we elaborate on the impact that Continua has on the development of the personal telehealth domain. First we motivate why the establishment of such an ecosystem is an essential part in addressing the healthcare challenges in society.
Incorporating lateral transfers of vehicles and inventory into an integrated replenishment and routing plan for a three-echelon supply chain
Authors: Sheng-Yuan Shen, Masakazu Honda
Venue: Computers and Industrial Engineering (2009)

This paper focuses on developing an integrated replenishment and routing plan that takes into account lateral transfers of both vehicles and inventory for a three-echelon supply chain system including a single plant, multiple distribution centers and multiple retailers. A mixed integer programming model to the overall system is formulated first, and then an optimization-based heuristic consisting of three major components is proposed. The purpose of the first component is to assign retailers to distribution centers, and determine routing schedules for each distribution center. And the remaining two components are corresponding to two smaller optimization models - a variant of the classical transportation problem modeled for determining vehicle transfer between distribution centers, and a variant of the conventional minimum cost network flow problem modeled for determining inventory replenishment and transfer. Experimental results reveal that the proposed algorithm is rather computational effectiveness, and the pooling strategy that considers both vehicles and inventory transfers is a worthy option in designing supply chain operations.