ppxscal/embedding_network huggingface dataset:
Pragmatic discourse representation theory
Authors: Yafa Al-Raheb
Venue: Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech (2006)

This paper presents a pragmatic approach to Discourse Representation Theory (DRT) in an attempt to address the pragmatic limitations of DRT (Werth 1999; Simons 2003). To achieve a more pragmatic DRT model, this paper extends standard DRT framework to incorporate more pragmatic elements such as representing agents' cognitive states and the complex process through which agents recognize utterances employing the linguistic content in forming mental representations of other agent's cognitive states. The paper gives focus to the usually ignored link in DRT literature between speaker beliefs and the linguistic content, and between the linguistic content and hearer's beliefs.
Design for diagnosability of multistation manufacturing systems based on sensor allocation optimization
Authors: Ji-wen Sun, Li-feng Xi, Er-shun Pan, Shi-chang Du, Tang-bin Xia
Venue: Computers in Industry (2009)

System monitoring and diagnosing can be achieved through measuring sensing data. Meanwhile, diagnosability is the capability of a system in terms of diagnosing dimensional variation and root cause identification. In order to obtain enough sensing data, special attention should be taken to the sensor allocation optimization within the framework of ensuring system diagnosability, which can lower sensing cost and reduce time to diagnosis. This paper investigates both theoretically and experimentally the effect of sensor allocation optimization on the diagnosability of a multistation manufacturing system (MMS). The design for diagnosability (DFD) is formulated and implemented in the early design phase. Three indices, namely detectability, locatability, and isolability, are proposed to measure the system diagnosability. A two-step process of diagnosing variation sources is presented to specify the variation transmission between stations and variation diagnosis within a station. An optimal methodology of sensor allocation is then proposed. A typical machining process is demonstrated as an example of the analytical procedure and reference for sensor allocation in practice. Four sensing strategies are conducted for performance comparison. Results indicate that the optimal sensor allocation yields less sensing cost and shorter time to diagnosis without loss of diagnosability.
Plenary lecture 4: methodologies for implementing IT governance concept and measuring IT business value: managing IT as a business not a 'technical' problem
Authors: Mario Spremic
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

In the early days of implementing information systems (IS) and information technology (IT) in the business, it was often seen as a technical support function and was typically managed by finance departments. When evolving from technology providers into strategic partners, IT organizations typically follow a three-stage approach: IT infrastructure management (ITIM), IT service management (ITSM) and IT business value management (IT Governance). As the IT initiatives has become far more than a means of improving efficiency or reducing costs and increasingly account for enabler of business innovation, it still seems that it is less understood business resource. One of reason could be that often there is no systematically way of measuring IT performances and implementing IT Governance practices. IT Governance is the organizational capacity exercised by the Board, executive management and IT management to control the formulation and implementation of IT strategy and in this way ensure the fusion of business and IT. IT Governance issues are not only any more marginal or 'technical' problems and become more and more a crucial 'business problem'. As the organizations are becoming increasingly dependent upon IT in order to achieve their corporate objectives and meet their business needs, the necessity for implementing widely applicable IT best practices standards and methodologies, offering high quality IT services is evident. Therefore, in this lecture and forthcoming paper emerging issues in IT Governance will be discussed in further details and the necessity for IT Audit and Performance Measurement initiatives stressed. Contemporary issues in measuring IT Business Value will be given and actual methodologies for implementing IT Governance concept will be explained (CobiT 4.1, ITIL v3, ISO 38500, ISO 27000).
Cluster-Centric Approach to News Event Extraction
Authors: Jakub Piskorski, Hristo Tanev, Martin Atkinson, Erik Van Der Goot
Venue: Proceeding of the 2008 conference on New Trends in Multimedia and Network Information Systems (2008)

This paper presents a real-time and multilingual news event extraction system developed at the Joint Research Centre of the European Commission. It is capable of accurately and efficiently extracting violent and natural disaster events from online news. In particular, a linguistically relatively lightweight approach is deployed, in which clustered news are heavily exploited at all stages of processing. The paper focuses on the system's architecture, real-time news clustering, geolocating clusters, event extraction grammar development, adapting the system to the processing of new languages, cluster-level information fusion, visual event tracking and accuracy evaluation.
Multi-Source Video Transmission with Minimized Total Distortion Over Wireless Ad Hoc Networks
Authors: Pejman Goudarzi
Venue: Wireless Personal Communications: An International Journal (2009)

Many optimization theoretic based rate allocation strategies have been developed for allocating some optimal rates to the competing users in wireless ad hoc networks. By considering different objective functions (such as congestion level, total packet loss and so on), the researchers propose some optimization framework by which the problem can be solved. Due to the rapid increase in the development of different video applications in such environments and the existence of difficulties in satisfying the pre-specified QoS limits, increasing the received video quality can be considered as an important and challenging issue. The quality of the received video stream is inversely proportional to the amount of distortion which is being imposed on the video stream by the network packet loss and the video encoder. The main objective of the current paper is to introduce an optimization framework in which by optimal rate allocation to some competing video sources, the aggregate distortion of the all of the sources be minimized. The simulation results verify the claims.
Urban terrain data modeling with adaptive dual marching tetrahedra and feature detecting techniques
Authors: Gregory M. Nielson, Kun Lee
Venue: Proceedings of the 2009 conference on Information Science, Technology and Applications (2009)

We describe some methods for developing mathematical models from data obtained from scanning (LIDAR) urban terrain environments consisting of a combination of man-made structures and natural geographic terrain. The methods exploit the efficiency provided by adaptive techniques and are based upon implicit mathematical models which permit the efficient implementation of some useful post processing operations. Also we introduce some new and very effective methods for detecting edges and corners implied by the data and use this information to extract conventional triangle mesh surfaces from the implicit models using the dual marching tetrahedra method.
Speech technology: from research to the industry of human-machine communication
Authors: Roberto Pieraccini
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Tutorial Abstracts (2008)

This tutorial is about the evolution of speech technology from research to a mature industry. Today, spoken language communication with computers is becoming part of everyday life. Thousands of interactive applications using spoken language technology--- known also as "conversational machines"---are only phone calls away, allowing millions of users each day to access information, perform transactions, and get help. Speech recognition, language understanding, text-to-speech synthesis, machine learning, and dialog management enabled this revolution after more than 50 years of research. The industry of speech continues to mature with its evolving standards, platforms, architectures, and business models within different sectors of the market.
Design alternatives for the evaluation of design science research artifacts
Authors: Anne Cleven, Philipp Gubler, Kai M. Hüner
Venue: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology (2009)

Within a consideration of cost effectiveness the evaluation of design science research artifacts is of major importance. In the past, a plenitude of approaches has been developed for this purpose -- partly artifact-specific, partly artifact-neutral. Nonetheless, there is a lack of a comprehensive overview over existing methods as well as a systemization of those with regard to fundamental structuring criteria. The paper at hand surveys existing methods and introduces a framework that equally supports the designer and the user of artifact evaluation approaches. Subsequent to the embedding of the framework into the design science research process two exemplary application scenarios are described.
Heidi matrix: nearest neighbor driven high dimensional data visualization
Authors: Soujanya Vadapalli, Kamalakar Karlapalem
Venue: Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration (2009)

Identifying patterns in large high dimensional data sets is a challenge. As the number of dimensions increases, the patterns in the data sets tend to be more prominent in the subspaces than the original dimensional space. A system to facilitate presentation of such subspace oriented patterns in high dimensional data sets is required to understand the data. Heidi is a high dimensional data visualization system that captures and visualizes the closeness of points across various subspaces of the dimensions; thus, helping to understand the data. The core concept behind Heidi is based on prominence of patterns within the nearest neighbor relations between pairs of points across the subspaces. Given a d-dimensional data set as input, Heidi system generates a 2-D matrix represented as a color image. This representation gives insight into (i) how the clusters are placed with respect to each other, (ii) characteristics of placement of points within a cluster in all the subspaces and (iii) characteristics of overlapping clusters in various subspaces. A sample of results displayed and discussed in this paper illustrate how Heidi Visualization can be interpreted.
Study on Method of Identifying Dissolved Gases in Transformer Oil Based on Improved Artificial Neural Network Algorithm
Authors: Xingang Chen, Weigen Chen, Yi Yang, Liangling Gu
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

Dissolved Gas-in-oil Analysis (DGA) plays an important role in fault diagnosis of power transformers. BP (Back Propagation) algorithm is used to diagnosis for dissolves gases in the oil of transformer in this paper. But typical BP algorithm has some defects, such as converging slowly, searching space possessing local minima and oscillation. The algorithm using additional momentum method and L-M (Lerenberg-Marquardt) to train BP Neural Network has been proved to have good performance in avoiding the local trap and converging slowly. So this paper adopts BP artificial neural network with algorithm of additional momentum method and L-M in diagnosis of dissolves gases in the oil. A mass of gases samples are analyzed in the algorithm and the results are compared with the swatches forecasted. The comparison result indicates that the improved algorithm has better classify capability for single-gases swatch as well as high diagnosis precision.
Adobe Photoshop Forensics, 1st edition
Authors: Cynthia Baron
Venue:  (2007)

Thanks to TV's crime scene investigation shows, forensic technology has entered popular culture. Combining puzzle solving and a dramatic storyline, these shows fascinate audiences as high-tech procedures uncover the truths hidden in seemingly insignificant clues. What many people may not realize is that forensic teams also use items they probably have in their own homes digital cameras, computers, and Photoshop image editing software. "Adobe Photoshop Forensics: Sleuths, Truths, and Fauxtography" shows you how Photoshop is used to create many types of fakery and fraud, including scientific, counterfeiting, art, journalism, and political propaganda. You'll discover that with some basic training in Photoshop's manipulation capabilities and a critical eye, you too can see through photographic hoaxes. Follow along as each chapter explores a different genre of real-life frauds, both historical and current, and explains how the fakery was or could be detected. A featured case file in each chapter carefully deconstructs a faked image so you can see the methods and processes followed by the image editing professionals who solve - and the perpetrators who commit - a variety of crimes. Even if you've never considered altering an image or becoming a crime scene investigator, you'll get a kick out of discovering the how and why behind both famous and common acts of image fraud with "Adobe Photoshop Forensics!"
Near-Optimal Dynamic Lead-Time Quotation and Scheduling Under Convex-Concave Customer Delay Costs
Authors: Barış Ata, Tava Lennon Olsen
Venue: Operations Research (2009)

We consider a make-to-order system where customers are dynamically quoted lead times (and prices). Customers are homogenous but have general (nonlinear) disutility for delay. Because the firm is a monopolist, the pricing problem is trivial and the dynamic problem reduces to one of lead-time quotation and order sequencing. We also consider the (static) problem of up-front capacity installation. We use a large-capacity asymptotic regime to make the problem tractable. We provide recommended policies for convex, concave, and convex-concave lead-time cost functions and prove that these policies are asymptotically optimal. The policies are both highly intuitive and readily implementable. Moreover, they provide delay guarantees for all served customers. They are tested numerically; we find that significant benefits can accrue by using the prescribed dynamic policies instead of first-come-first-served type policies.
Braking/traction control systems of a scaled railway vehicle for the active steering testbed
Authors: Min-Soo Kim, Hyun-Moo Hur
Venue: Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology (2009)

This paper describes the design of the braking/traction control systems as a part of a 1/5 scaled railway vehicle for active steering testbed which is to alleviate wheel/rail contact forces and to decrease wheel/rail wear. Active steering system of railway vehicles has proven its ability to bridge the gap between stability and curve friendliness. This system consists of two steering actuators, a steering controller, and various sensor systems to detect lateral displacement, vibration, track curvature, and so on. The control strategy of the braking/traction is founded on the velocity difference of two axle speed of the driving bogie. Running test results of 1/5 scaled active steering vehicle on the curved track show that the proposed braking/traction control systems has good performance.
Detecting overflow vulnerabilities using automated verification
Authors: Brian A. Malloy, Murali Sitaraman, Jason O. Hallstrom
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

Maintaining the security of our computer systems has become one of the dominant aspects of the war on terror and many researchers and developers predict that the next attack against the United States will be a computer attack [5, 9, 11]. The Department of Homeland Security has established a partnership with industry, the United States Computer Readiness Team (US-CERT), to protect the nation's Internet infrastructure [2]. The US-CERT sponsors an automated, web-based repository of standards based vulnerability data (NVD), which includes a database of security related software flaws [3].
An Economic Model of Click Fraud in Publisher Networks
Authors: Kursad Asdemir, ÖZden Yurtseven, Moin Yahya
Venue: International Journal of Electronic Commerce (2008)

Click fraud occurs when a Web user clicks on a sponsored link with the malicious intent of hurting a competitor or gaining undue monetary benefits. Advertisers and the media accuse search engines of not doing enough to curb this practice. This paper develops a game-theoretical model of click fraud in a publisher network that sheds light on the economic trade-offs search engines face. On the supply side, search engines try to create incentives for publishers to generate clicks honestly and to reward honest publishers who generate legitimate clicks. The negative strategic effect of undercounting invalid clicks deters the search engine from undercounting. Since better filtering is beneficial to search engines, publishers, and advertisers, search engines have an incentive to invest in filtering technology.
Embedded system used for classifying motor activities of elderly and disabled people
Authors: Nicolas Fourty, D. Guiraud, P. Fraisse, G. Perolle, I. Etxeberria, T. Val
Venue: Computers and Industrial Engineering (2009)

Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people to live longer in their own home, ensuring the necessary vigilance and security at the lowest cost, some tele-assistance systems are already available commercially. This paper presents an embedded prototype able to detect automatically the falls of elderly people while monitoring their motor activities. The classification algorithm using an artificial neural network, the communication and location capabilities of this system are specifically highlighted. In the last part, some experimental results and social issues stemming from Gerontologic Institute Ingema are discussed.
A Cross-Layer Approach to Enhance QoS for Multimedia Applications Over Satellite
Authors: Mathieu Gineste, Nicolas Wambeke, Ernesto Exposito, Christophe Chassot, Laurent Dairaine
Venue: Wireless Personal Communications: An International Journal (2009)

The need for on-demand QoS support for communications over satellite is of primary importance for distributed multimedia applications. This is particularly true for the return link which is often a bottleneck due to the large set of end-users accessing a very limited uplink resource. Facing this need, Demand Assignment Multiple Access (DAMA) is a classical technique that allows satellite operators to offer various types of services, while managing the resources of the satellite system efficiently. Tackling the quality degradation and delay accumulation issues that can result from the use of these techniques, this paper proposes an instantiation of the Application Layer Framing (ALF) approach, using a cross-layer interpreter (xQoS-Interpreter). The information provided by this interpreter is used to manage the resource provided to a terminal by the satellite system in order to improve the quality of multimedia presentations from the end user's point of view. Several experiments are carried out for different loads on the return link. Their impact on QoS is measured through different application as well as network level metrics.
Translocation-Deletions Distance Formula for Sorting Genomes
Authors: Fanchang Hao, Junfeng Luan, Daming Zhu
Venue: Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 04 (2009)

Given two signed multi-chromosomal genomes Π and Γ, where gene set of Γ is the proper subset of that of Π, the problem of sorting by translocation-deletions, which is abbrebiated as STD, is to find the shortest sequence transforming Π to Γ via the two operations mentioned above only. A lower bound of the distance from Π to Γ and an asymptotically optimal algorithm has been given [1]. In this paper we present a formula to calculate the translocation-deletions distance for the first time. Moreover, we improved the existing algorithms to a new one, which is the first algorithm presenting the precise distance and the optimal translocation and deletion sequence in polynomial-time. After giving the algorithm analysis, we illustrate the performence with an example.
Extend two-step preconditioning technique for the Crank&ndash;Nicolson finite-difference time-domain method to analyze the 3D microwave circuits
Authors: Y. Yang, Z. H. Fan, D. Z. Ding, S. B. Liu
Venue: International Journal of RF and Microwave Computer-Aided Engineering (2009)

The increase of the time-step size significantly deteriorates the property of the coefficient matrix generated from the Crank&ndash;Nicolson finite-difference time-domain method. As a result, the convergence of classical iterative methods, such as generalized minimal residual method (GMRES) would be substantially slowed down. The main purpose of this article is to show that the two-step preconditioner can greatly accelerate the convergence of the iterative method, such as GMRES. Numerical simulations show that this two-step preconditioned GMRES iterative method has a faster convergence speed than those methods when the preconditioner is used alone. &copy; 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009.
Agent Technology for Information Retrieval in Internet
Authors: Marcin Maleszka, Bernadetta Mianowska, Ngoc Thanh Nguyen
Venue: Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (2009)

Searching for useful information is nowadays difficult because of the information overload problem in a global network consisting of heterogeneous sources. Intelligent information agents, or multiagent systems consisting of those, are one of the solutions to this problem. This paper is a short case study of existing information retrieval systems based on agent approaches. User profiles and searching issues are two main issues described and a functional categorization of independent profiling systems or independent searching systems is proposed, as well as a short description of a hybrid profiling and searching system.