ppxscal/embedding_network huggingface dataset:
A Hierarchical Classification Scheme for Semantic Image Annotation
Authors: Nicolas Tsapatsoulis
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

In this paper we address some of the issues commonly encountered in automatic image annotation systems such as simultaneous labeling with keywords corresponding to both abstract terms and object classes, multiple keyword assignment, and low accuracy of labeling due to concurrent categorization to multiple classes. We propose a hierarchical classification scheme which is based on predefined XML-dictionaries of tree form. Every node of such a tree defines a particular classification task while the children of the node correspond to classification categories. The winning class (subnode) defines the subsequent classification task and the process continues until the leafs of the tree are reached. The final classification task is performed at image segment level; that is every image segment is assigned a particular keyword corresponding to a tree leaf. The path followed from the root of the XML tree to the leafs along with the union of labels assigned to the image segments compose the list of annotation keywords for the input image. The performance of the proposed method was tested on a set of 1046 images, taken from the athletics domain, containing a total of 3546 concept instances of 33 different concepts. The results promising and show the potential of the divide and conquer approach we follow through the proposed hierarchical classification scheme.
Service Modeling Language Applied to Critical Infrastructure
Authors: Gianmarco Baldini, Igor Nai Fovino
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

The modeling of dependencies in complex infrastructure systems is still a very difficult task. Many methodologies have been proposed, but a number of challenges still remain, including the definition of the right level of abstraction, the presence of different views on the same critical infrastructure and how to adequately represent the temporal evolution of systems. We propose a modeling methodology where dependencies are described in terms of the service offered by the critical infrastructure and its components. The model provides a clear separation between services and the underlying organizational and technical elements, which may change in time. The model uses the Service Modeling Language proposed by the W3 consortium for describing critical infrastructure in terms of interdependent services nodes including constraints, behavior, information flows, relations, rules and other features. Each service node is characterized by its technological, organizational and process components. The model is then applied to a real case of an ICT system for users authentication.
Proceedings of the 2003 EACL Workshop on Morphological Processing of Slavic Languages
Venue: ACL Workshops (2003)

This volume contains the papers accepted for the EACL-03 workshop on Morphological Processing of Slavic Languages held in Budapest on April 13, 2003, just preceding the 11th Conference of the European Chapter of the Association for Computational Linguistics. The aim of this workshop was to present, in one place, different aspects of the morphological processing of Slavic languages and to establish the current relation between linguistic knowledge and the possibilities of fulfilling the computational needs for Slavic languages. Different approaches to modelling morphological structure, to lexical and corpus annotation and to processing morphological information have been developed, and some of them for more than one language. Yet annotation schemes, morphological analysers, part-of-speech taggers or language resources that encompass all - or even a larger number of - Slavic languages are rare. At the same time, a systematic review of existing approaches to the morphological processing of Slavic languages and their relations does not yet exist. The topic of the workshop was the morphological computational analysis and annotation of Slavic languages, encountered on both the inflective and the derivational levels. The workshop discussed the lexical structures necessary for morphological analysis and presented standardisation efforts in the field that can, for instance, enable the transfer of applied methods from one language to another, or aid in the annotation of morphological information in corpora. In addition to resources, these papers also discuss methods for word-level syntactic tagging, lexicon acquisition, collocation and term extraction. From the fifteen papers submitted for this workshop, the reviewers selected the twelve papers included in these proceedings. The papers cover seven Slavic languages - Bulgarian, Czech, Croatian, Polish, Russian, Serbian, and Slovenian - as well as the majority of suggested workshop topics.
CompTIA Network+ N10-004 Cert Flash Cards Online: Retail Packaged Version, 1st edition
Authors: Scott Honeycutt, Tim Warner
Venue:  (2009)

This is a packaged access code providing full access to the online flash cards. As a late stage exam prep tool, the CompTIA Network+ Cert Flash Cards Online provide a concise review of all objectives on the Network+ certification. This learning format presents a unique approach that complements other self-study formats, such as books and practice tests. CompTIA Network+ Cert Flash Cards Online consists of a custom flash card application loaded with 300 total questions that test your skills and enhance retention of exam topics. Questions are organized by exam objective, allowing you to focus your study on selected topics. You can choose to view cards in order or at random, and you can create custom sets from the entire bank of cards. Once the bank is chosen, you view questions, test yourself, and then view answers. The engine provides you with the ability to mark each question as correct or incorrect and provides a detailed score report by category at the end of the exam. You can even write notes on each question and then get a printable PDF of all your notes aligned to the relevant questions and their correct responses. CompTIA Network+ Cert Flash Cards Online is available in both desktop and mobile device formats, enabling you to test yourself at home, work, or on the go. These flash cards enable you to get the most important information at a glance, helping you focus your study on areas of weakness and to enhance memory retention of essential exam concept.
Loopo: Integrated Text Miner for FACT-Graph-Based Trend Analysis
Authors: Ryosuke Saga, Hiroshi Tsuji, Kuniaki Tabata
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

This paper proposes an integrated tool to analyze trend visualization graph called "FACT-Graph". FACT-Graph is generated from text data with time stamp and is useful for trend analysis. However, it faces three key problems: First, it is difficult to configure parameters (such as analysis span, exceptive keywords and thresholds) to generate FACT-Graph; Second, a FACT-Graph does not provide the required information and interface for trend analysis because the process of generating the FACT-Graph eliminates that information; and third, it cannot reflect a user's awareness in a FACT-Graph. In order to solve these problems, the authors have developed a tool called "Loopo". Loopo integrates a term database, analysis components, and a graph-drawing function and provides users (i.e., analyzers) with information for trend analysis. Loopo also provides an interactive GUI for configuring parameters at ease and to reflect a user's awareness in a FACT-Graph instantly.
Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs
Authors: Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

Data mining on Web documents is one of the most challenging tasks in machine learning due to the large number of documents on the Web, the underlying structures (as one document may refer to another document), and the data is commonly not labeled (the class in which the document belongs is not known a-priori). This paper considers latest developments in Self-Organizing Maps (SOM), a machine learning approach, as one way to classifying documents on the Web. The most recent development is called a Probability Mapping Graph Self-Organizing Map (PMGraphSOM), and is an extension of an earlier Graph-SOM approach; this encodes undirected and cyclic graphs in a scalable fashion. This paper illustrates empirically the advantages of the PMGraphSOM versus the original GraphSOM model in a data mining application involving graph structured information. It will be shown that the performances achieved can exceed the current state-of-the art techniques on a given benchmark problem.
A computational framework for non-lexicalist semantics
Authors: Jimmy Lin
Venue: Proceedings of the Student Research Workshop at HLT-NAACL 2004 on XX (2004)

Under a lexicalist approach to semantics, a verb completely encodes its syntactic and semantic structures, along with the relevant syntax-to-semantics mapping; polysemy is typically attributed to the existence of different lexical entries. A lexicon organized in this fashion contains much redundant information and is unable to capture cross-categorial morphological derivations. The solution is to spread the "semantic load" of lexical entries to other morphemes not typically taken to bear semantic content. This approach follows current trends in linguistic theory, and more perspicuously accounts for alternations in argument structure. I demonstrate how such a framework can be computationally realized with a feature-based, agenda-driven chart parser for the Minimalist Program.
A Novel Approach for Vehicle-logo Location Based on Edge Detection and Morphological Filter
Authors: Wenju Li, Ling Li
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Vehicle-logo location is a crucial step in vehicle-logo recognition system. In this paper, a novel approach of the vehicle-logo location based on edge detection and morphological filter is proposed.. Firstly, the approximate location of the vehicle-logo region is determined by the prior knowledge about the position of the vehicle-logo ; Secondly, the texture measure is defined to recognize the texture of the vehicle-logo background ; Then, vertical edge detection is executed for the vehicle-logo background with the horizontal texture and horizontal edge detection is implemented for the vehicle-logo background with the vertical texture; Finally, position of the vehicle-logo is located accurately by mathematical morphology filter. Experimental results show the proposed method is effective.
Reducing Redundancy in Subspace Clustering
Authors: Yi-Hong Chu, Yi-Ju Chen, De-Nian Yang, Ming-Syan Chen
Venue: IEEE Transactions on Knowledge and Data Engineering (2009)

In this paper, we first study an important but unsolved dilemma in the literature of subspace clustering, which is referred to as “information overlapping-data coverage” challenge. Current solutions of subspace clustering usually invoke a grid-based Apriori-like procedure to identify dense regions and construct subspace clusters afterward. Due to the nature of monotonicity property in Apriori-like procedures, it is inherent that if a region is identified as dense, all its projected regions are also identified as dense, causing overlapping/redundant clustering information to be inevitably reported to users when generating clusters from such highly correlated regions. However, naive methods to filter redundant clusters will incur a challenging problem in the other side of the dilemma, called the “data coverage” issue. Note that two clusters may have highly correlated dense regions but their data members could be highly different to each other. Arbitrarily removing one of them may lose the coverage of data with clustering information, thus likely reporting an incomplete and biased clustering result. In this paper, therefore, we further propose an innovative algorithm, called "NOnRedundant Subspace Cluster mining” (NORSC), to efficiently discover a succinct collection of subspace clusters while also maintaining the required degree of data coverage. NORSC not only avoids generating the redundant clusters with most of the contained data covered by higher dimensional clusters to resolve the information overlapping problem but also limits the information loss to cope with the data coverage problem. As shown by our experimental results, NORSC is very effective in identifying a concise and small set of subspace clusters, while incurring time complexity in orders of magnitude better than that of previous works.
Evaluation of 3D Visualisation in the Virtual Environmental Planning Systems Project
Authors: John Counsell, Andrew Richman, Alan Holding
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

The Virtual Environmental Planning systems project (VEPs) proposed an alternative approach to planning consultation by allowing people to view and leave comments about planning developments using 3D visualization software in a web browser, within the context of an existing landscape or cityscape.The software developed by VEPs allows users to freely explore and interact with 3D models and make comments directly via an online system, which could be accessed from their ‘home’ PC over a ‘normal’ broadband connection at any time. Anyone accessing the web applications would be able to view & share comments online.The evaluation focused on gathering information about: what users thought of the proposed approach to planning consultation; what users thought of the tools developed and the use of 3D; if and how the VEPs tools could practically benefit public participation in the planning consultation process. The results will be of value to those engaged in the public use of 3D visualization, e-Planning, and e-consultation or collaboration.
Integrating scientific modeling and supporting dynamic hazard management with a GeoAgent-based representation of human-environment interactions: A drought example in Central Pennsylvania, USA
Authors: Chaoqing Yu, Alan M. MacEachren, Donna J. Peuquet, Brent Yarnal
Venue: Environmental Modelling Software (2009)

Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems. This research addresses this problem through a Java-based multi-agent prototype system, GeoAgent-based Knowledge System (GeoAgentKS). This system allows: (1) computer representation of institutional regulations and behavioral rules used by multiple social institutions and individuals in cross-level human-environment interactions, (2) integration of this representation with scientific modeling of dynamic hazard development, and (3) application of automated reasoning that suggests to users the appropriate actions for supporting cooperative social responses. This paper demonstrates the software architecture of GeoAgentKS and presents such an integrated approach by modeling the drought management processes in Central Pennsylvania, USA. The results show that it is possible to use GeoAgentKS to represent multilevel human-environment interactions and to use those interactions as input to decision making in hazard management.
Transcranial Doppler: A Tool for Augmented Cognition in Virtual Environments
Authors: Beatriz Rey, Mariano Alcañiz, Valery Naranjo, Jose Tembl, Vera Parkhutik
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

In this work, we propose the use of Transcranial Doppler Monitoring (TCD) as a tool to measure brain activity during the exposure to virtual environments (VE) that can be used in Augmented Cognition (AugCog) systems. The technique is non-invasive, and can be easily integrated with virtual reality (VR) settings. Its high temporal resolution allows the correlation of changes in brain activity to specific events in the VE. In this paper, the TCD technique is described, and results from two studies developed in our group combining TCD with VR are summarized. Possible applications of TCD in the AugCog field are finally discussed.
Evolutionary Changes in the Traditional Ergonomics
Authors: Jerzy Charytonowicz
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

To an average user the term ergonomics means first of all comfort and convenience, and only then safety, orientation to health, functionality and efficiency of a system. On the one hand such a sequence of associations and `knowledge of ergonomics' undoubtedly results from marketing strategies and intensity of influence of advertisements of various commodities, but on the other hand it shows a still low level of ergonomic consciousness of society. From prehistory, man has always taken care of their comfort and convenience by making the first tools and successively transforming the material environment, in order to adjust them to their own needs and thus subconsciously initializing paraergonomic activities. The time from prehistory to the second half of the nineteenth century can be described as a period of intuitive ergonomics or subconscious ergonomics. Formulating principles of a new field of a new science, which W. Jastrzębowski called ergonomics, has begun a stage which I call a period of rational ergonomics, or fully conscious ergonomics. It was at this time, lasting from the beginning of World War II, when areas of application, tools, research methods were defined and attempts to apply them in practice were made. Preparations for the war intensified the scientific research in the field of applied ergonomics, starting a new stage in its development lasting untill the present moment, which I call a period of scientific ergonomics.
The Graph Programming Language GP
Authors: Detlef Plump
Venue: Proceedings of the 3rd International Conference on Algebraic Informatics (2009)

GP (for Graph Programs) is a rule-based, nondeterministic programming language for solving graph problems at a high level of abstraction, freeing programmers from handling low-level data structures. The core of GP consists of four constructs: single-step application of a set of conditional graph-transformation rules, sequential composition, branching and iteration. This paper gives an overview on the GP project. We introduce the language by discussing a sequence of small programming case studies, formally explain conditional rule schemata which are the building blocks of programs, and present a semantics for GP in the style of structural operational semantics. A special feature of the semantics is how it uses the notion of finitely failing programs to define powerful branching and iteration commands. We also describe GP's prototype implementation.
A Fair and Dynamic Load-Balancing Mechanism
Authors: Federico Larroca, Jean-Louis Rougier
Venue: Traffic Management and Traffic Engineering for the Future Internet: First Euro-NF Workshop, FITraMEn 2008, Porto, Portugal, December 11-12, Revised Selected Papers (2009)

The current data network scenario makes Traffic Engineering (TE) a very challenging task. The ever growing access rates and new applications running on end-hosts result in more variable and unpredictable traffic patterns. By providing origin-destination (OD) pairs with several possible paths, load-balancing has proven itself an excellent tool to face this uncertainty. Most previous proposals defined the load-balancing problem as minimizing a certain network cost function of the link's usage, assuming users would obtain a good performance as a consequence. Since the network operator is interested in the communication between the OD nodes, we propose instead to state the load-balancing problem in their terms. We define a certain utility function of the OD's perceived performance and maximize the sum over all OD pairs. The solution to the resulting optimization problem can be obtained by a distributed algorithm, whose design we outline. By means of extensive simulations with real networks and traffic matrices, we show that our approach results in more available bandwidth for OD pairs and a similar or decreased maximum link utilization than previously proposed load-balancing schemes. Packet-level simulations verify the algorithm's good performance in the presence of delayed and inexact measurements. 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
Noise Attenuate Research of Resistance Muffler with Different Discel Rotational Speed
Authors: Xiaodong Hu, Jidai Wang, Aiqin Sun, Yiqi Zhou, Jianhua Fang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The noise attenuate of resistance muffler has been studied with the pressure signals of resource noise and the noise exhausted out of muffler with different diesel rotational velocity collected, and the acoustics performance of the double noise has been researched with the signal spectrum analysis. Corresponding conclusions have been obtained as following: the resource noise has similar spectrum performances under different discel rational speed; the amplitude of resource noise increases with the diesel rotation rising; the resistance muffler used on the excavator has good noise attenuate at different speed of diesel rotational velocity, and the insert loss increases with the diesel rotational velocity rising.
Wings for Pegasus: creating large-scale scientific applications using semantic representations of computational workflows
Authors: Yolanda Gil, Varun Ratnakar, Ewa Deelman, Gaurang Mehta, Jihie Kim
Venue: Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2 (2007)

Scientific workflows are being developed for many domains as a useful paradigm to manage complex scientific computations. In our work, we are challenged with efficiently generating and validating workflows that contain large amounts (hundreds to thousands) of individual computations to be executed over distributed environments. This paper describes a new approach to workflow creation that uses semantic representations to describe compactly complex scientific applications in a data-independent manner, then automatically generates workflows of computations for given data sets, and finally maps them to available computing resources. The semantic representations are used to automatically generate descriptions for each of the thousands of new data products. We interleave the creation of the workflow with its execution, which allows intermediate execution data products to influence the generation of the following portions of the workflow. We have implemented this approach in Wings, a workflow creation system that combines semantic representations with planning techniques. We have used Wings to create workflows of thousands of computations, which are submitted to the Pegasus mapping system for execution over distributed computing environments. We show results on an earthquake simulation workflow that was automatically created with a total number of 24,135 jobs and that executed for a total of 1.9 CPU years.