ppxscal/embedding_network huggingface dataset:
Overlay Network Testing by OpenDHT
Authors: Xun Duan, Jian-Shi Li
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01 (2007)

A problem of research on overlay network is lack of testing platform. Recent research has shown that one can use Distributed Hash Tables (DHTs) to build scalable, robust and efficient applications. However, large-scale distributed systems are hard to deploy, nor are DHTs . OpenDHT is a publicly accessible DHT service. In contrast to the usual DHT model, clients of OpenDHT can issue put and get operations to any DHT node, which processes the operations on their behalf. This paper introduces OpenDHT and concentrates on how to do the network testing based on OpenDHT. The testing about resource location is also expounded .
The hOCR Microformat for OCR Workflow and Results
Authors: T. Breuel
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

Large scale scanning and document conversion ef- forts have led to a renewed interest in OCR systems and workflows. This paper describes a new format for representing both intermediate and final OCR results, developed in response to the needs of a newly developed OCR system and ground truth data release. The format embeds OCR information invisibly inside the HTML and CSS standards and therefore can represent a wide range of linguistic and typographic phenomena with al- ready well-defined, widely understood markup and can be processed using widely available and known tools. The format is based on a new, multi-level abstraction of OCR results based on logical markup, common typeset- ting models, and OCR engine-specific markup, making it suitable both for the support of existing workflows and the development of future model-based OCR engines.
Curvelets Based Queries for CBIR Application in Handwriting Collections
Authors: G. Joutel, V. Eglin, S. Bres, H. Emptoz
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs to the Wavelet family, this representation can be useful at several scales of details. The proposed scheme for handwritten shape characterization targets to detect oriented and curved fragments at different scales so as to compose an unique signature for each handwritten analyzed samples. In this way, Curvelets coefficients are used as a representation tool for handwriting when searching in large manuscripts databases by finding similar handwritten samples. Current results of ancient manuscripts retrieval are very promising with very satisfying precisions and recalls.
HIDE -- A Web-based Hydrological Integrated Data Environment
Authors: Nimmy Ravindran, Yao Liang
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03 (2007)

One of the challenging tasks in data management and interoperation is efficient data integration. Data integration in scientific community is affected by heterogeneities of the data and diversity of the participating data sources. We have developed a web-based data integration framework, HIDE, for hydrology datasets and data sources. The system is built on an extended XML mediator architecture with modular methodology and software engineering practices of simplicity, extensibility and flexibility. HIDE promotes on-demand data integration and carries functionalities such as search and data access, data integration and remote data visualization. Registration of a new data source to HIDE for integration involves minimal effort of adding a few XML metadata files. The system can help hydrologists to access and share, and dynamically integrate data from diverse data sources quickly. HIDE was primarily built for integrating data from National Weather services with datasets from various autonomous organizations.
Visual feature group matching for autonomous robot localization
Authors: Emanuele Frontoni, Primo Zingaretti
Venue: Proceedings of the 14th International Conference on Image Analysis and Processing (2007)

The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot vision, object recognition, motion estimation, etc. In this work, we propose a SIFT improvement that makes feature extraction and matching more robust, adding a feature group matching layer, which takes into account mutual spatial relations between features. The feature group matching is very fast to be computed and leads to interesting results, above all for the absence of outliers. Results of vision based robot localization using the proposed approach are presented.
Contemporary issues of enterprise content management: the case of Statoil
Authors: Bjørn Erik Munkvold, Tero Päivärinta, Anne Kristine Hodne, Elin Stangeland
Venue: Scandinavian Journal of Information Systems (2006)

The concept of Enterprise Content Management (ECM) represents integrated enterprise-wide management of the life cycles of all forms of recorded information content and their metadata, organized according to corporate taxonomies, and supported by appropriate technological and administrative infrastructures. Based on a case study of a Norwegian oil company (Statoil), we identify a wide range of issues related to management of content, infrastructure, and change. The ECM perspective is found to integrate and extend the existing research areas of information resource management and document management, as well as the repository model of knowledge management. ECM thus deserves further attention beyond its current market hype, as a potential area of IS research crossing several previously separate areas of information management from the viewpoint of the enterprise.
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Authors: Christoph Heinzl, Johann Kastner, Eduard Gröller
Venue: IEEE Transactions on Visualization and Computer Graphics (2007)

This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is metrology and dimensional measurement in industrial high resolution 3D x-ray computed tomography (3DCT). Based on the dual source / dual exposure technology this method employs 3DCT scans of a high precision micro-focus and a high energy macro-focus x-ray source. The presented work makes use of the advantages of dual x-ray exposure technology in order to facilitate dimensional measurements of multi-material components with high density material within low density material. We propose a workflow which uses image fusion and local surface extraction techniques: a prefiltering step reduces noise inherent in the data. For image fusion the datasets have to be registered. In the fusion step the benefits of both scans are combined. The structure of the specimen is taken from the low precision, blurry, high energy dataset while the sharp edges are adopted and fused into the resulting image from the high precision, crisp, low energy dataset. In the final step a reliable surface model is extracted from the fused dataset using a local adaptive technique. The major contribution of this paper is the development of a specific workflow for dimensional measurements of multi-material industrial components, which takes two x-ray CT datasets with complementary strengths and weaknesses into account. The performance of the workflow is discussed using a test specimen as well as two real world industrial parts. As result, a significant improvement in overall measurement precision, surface geometry and mean deviation to reference measurement compared to single exposure scans was facilitated.
Errata: August Computer
Venue: Computer (1981)

Figure 2 in Shimon Ullman's "Analysis of Visual Motion by Biological and Computer Systems" was incorrectly referenced as Figure 2a in the text of the article. The end of the paragraph containing the figure reference (August 1981 Computer, p. 59) should have read as follows: "The organization of an on-center cell is shown in Figure 2. The response is maximal in the middle of the receptive field, decreases as the light stimulus is moved outward, and becomes negative in the surround." That is, the sentence referring to Figure 2b, not used in the article, should have been deleted. 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
An Effective Framework for Human Body Pose Estimation using K-Best Viterbi Search Method
Authors: Qian Wu, Ming Tang, Hanqing Lu
Venue: Proceedings of the Fourth International Conference on Image and Graphics (2007)

Estimating human body pose in monocular images is important for many image understanding applications. In this paper we propose a robust and efficient framework for human body pose estimation. In contrast with the conventional methods [4, 9, 14], our algorithm has several advantages: 1) No learning process of human model prior from image database is needed, and no limits on the video scene are required. 2) By integrating the generalized integral image and distance transforms into the tree-structured model, the time complexity of the inference could be greatly reduced. 3) A post-process called K-Best Viterbi Search is proposed to add global constraints elegantly to get reasonable results and accelerate searching in the solution space. Our framework consists of three steps. The first step is to use the treestructured human model to reduce the complexity of representation of human body. Second, the concept of the generalized integral image is applied to integrated the multicues, such as face and limbs, to enhance the robustness. Finally, we present a K-Best Viterbi Search method applied to post-process. We test our framework on synthesized and real-world database respectively, and receives satisfactory results.
Diagnosability of fuzzy discrete event systems
Authors: Erdal Kilic
Venue: Information Sciences: an International Journal (2008)

In this paper, discrete event systems (DESs) are reformulated as fuzzy discrete event systems (FDESs) and fuzzy discrete event dynamical systems (FDEDSs). These frameworks include fuzzy states, events and IF-THEN rules. In these frameworks, all events occur at the same time with different membership degrees. Fuzzy states and events have been introduced to describe uncertainties that occur often in practical problems, such as fault diagnosis applications. To measure a diagnoser's fault discrimination ability, a fuzzy diagnosability degree is proposed. If the diagnosability of the degree of the system yields one a diagnoser can be implemented to identify all possible fault types related to a system. For any degree less than one, researchers should not devote their time to distinguish all possible fault types correctly. Thus, two different diagnosability definitions FDEDS and FDES are introduced. Due to the specialized fuzzy rule-base embedded in the FDEDS, it is capable of representing a class of non-linear dynamic system. Computationally speaking, the framework of diagnosability of the FDEDS is structurally similar to the framework of diagnosability of a non-linear system. The crisp DES diagnosability has been turned into the term fuzzy diagnosability for the FDES. The newly proposed diagnosability definition allows us to define a degree of diagnosability in a class of non-linear systems. In addition, a simple fuzzy diagnosability checking method is introduced and some numerical examples are provided to illustrate this theoretical development. Finally, the potential applications of the proposed method are discussed.
Spatial Sampling and Regression Strategies
Authors: Benjamin C. Lee, David M. Brooks
Venue: IEEE Micro (2007)

This new simulation paradigm for microarchitectural design evaluation and optimization counters growing simulation costs stemming from the exponentially increasing size of design spaces. The authors demonstrate how to obtain a more comprehensive understanding of the design space by selectively simulating a modest number of designs from that space and then more effectively leveraging the simulation data using techniques in statistical inference.
Differentiation and Processing of Contradictory Knowledge and Opposite Knowledge
Authors: Zhenghua Pan, Shengli Zhang
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04 (2007)

How to distinguish and deal with inconsistent knowledge in knowledge processing is an outstanding problem, especially in fuzzy knowledge processing. In this paper, we proposes that knowledge research should differentiate between contradictory concepts and opposite concepts in knowledge, and that discovered a character of opposite concepts, there exists medium concept between the two opposite concepts if and only if opposite concepts are fuzzy concepts. The contradictory relations and opposite relations in distinct concepts and fuzzy concepts were confirmed, some properties of them were analyzed. Furthermore, we study these concepts and relations using the medium predicate logic MF and the infinite-valued model of MF, and get processing conditions on the five kinds of contradictory relations and opposite relations in knowledge.
Variation-aware task allocation and scheduling for MPSoC
Authors: Feng Wang, C. Nicopoulos, Xiaoxia Wu, Yuan Xie, N. Vijaykrishnan
Venue: Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design (2007)

As technology scales, the delay uncertainty caused by process variations has become increasingly pronounced in deep submicron designs. As a result, a paradigm shift from deterministic to statistical design methodology at all levels of the design hierarchy is inevitable [1]. In this paper, we propose a variation-aware task allocation and scheduling algorithm for Multiprocessor System-on-Chip (MPSoC) architectures to mitigate the impact of parameter variations. A new design metric, called performance yield and defined as the probability of the assigned schedule meeting the predefined performance constraints, is used to guide the task allocation and scheduling procedure. An efficient yield computation method for task scheduling complements and significantly improves the effectiveness of the proposed variation-aware scheduling algorithm. Experimental results show that our variation-aware scheduler achieves significant yield improvements. On average, 45% and 34% yield improvements over worst-case and nominal-case deterministic schedulers, respectively, can be obtained across the benchmarks by using the proposed variation-aware scheduler.
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
Authors: Rogerio Feris, Ramesh Raskar, Longbin Chen, Karhan Tan, Matthew Turk
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

Traditional stereo matching algorithms are limited in their ability to produce accurate results near depth discontinuities, due to partial occlusions and violation of smoothness constraints. In this paper, we use small baseline multi-flash illumination to produce a rich set of feature maps that enable acquisition of discontinuity preserving point correspondences. First, from a single multi-flash camera, we formulate a qualitative depth map using a gradient domain method that encodes object relative distances. Then, in a multiview setup, we exploit shadows created by light sources to compute an occlusion map. Finally, we demonstrate the usefulness of these feature maps by incorporating them into two different dense stereo correspondence algorithms, the first based on local search and the second based on belief propagation. Experimental results show that our enhanced stereo algorithms are able to extract high quality, discontinuity preserving correspondence maps from scenes that are extremely challenging for conventional stereo methods. We also demonstrate that small baseline illumination can be useful to handle specular reflections in stereo imagery. Different from most existing active illumination techniques, our method is simple, inexpensive, compact, and requires no calibration of light sources.
Testable designs of multiple precharged domino circuits
Authors: Themistoklis Haniotakis, Yiorgos Tsiatouhas, Dimitris Nikolos, Constantine Efstathiou
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

Domino CMOS circuits are an option for speeding up critical units. An inherent problem of Domino logic is that under specific input conditions the charge redistribution between parasitic capacitances at internal nodes of a circuit can violate the noise margins and cause erroneous responses at the output. The dominant solution to this problem is the multiple precharging of the gate's internal nodes. However, the added precharge transistors are not testable for stuck-open faults. Undetectable stuck-open faults at these transistors may cause noise margins reduction and consequently may affect the reliability of the circuit since its operation in the field will be sensitive to environmental factors such as noise. In this paper, we propose new multiple precharging design schemes that enhance Domino circuits' testability with respect to transistor stuck-open and stuck-on faults.
Achieving sub-50 milliseconds recovery upon BGP peering link failures
Authors: Olivier Bonaventure, Clarence Filsfils, Pierre Francois
Venue: IEEE/ACM Transactions on Networking (TON) (2007)

Recent measurements show that BGP peering links can fail as frequently as intradomain links and usually for short periods of time. We propose a new fast-reroute technique where routers are prepared to react quickly to interdomain link failures. For each of its interdomain links, a router precomputes a protection tunnel, i.e., an IP tunnel to an alternate nexthop which can reach the same destinations as via the protected link.We propose a BGP-based auto-discovery technique that allows each router to learn the candidate protection tunnels for its links. Each router selects the best protection tunnels for its links and when it detects an interdomain link failure, it immediately encapsulates the packets to send them through the protection tunnel. Our solution is applicable for the links between large transit ISPs and also for the links between multi-homed stub networks and their providers. Furthermore, we show that transient forwarding loops (and thus the corresponding packet losses) can be avoided during the routing convergence that follows the deactivation of a protection tunnel in BGP/MPLS VPNs and in IP networks using encapsulation.
Distributed Process Control: A Micro-Mini Marriage
Authors: J. C. Hargreaves
Venue: Computer (1977)

Real-time process control problems in computer testing of automobile engines have led to the development of a low-cost microprocessor-based general-purpose minicomputer peripheral controller at the Chrysler Corporation Technical Computer Center in Detroit. Advantages of the new system over minicomputer-only or microcomputer-only systems include both improved system flexibility and better use of system resources. For example, because of their low cost and programmability, multiple microprocessors can be used to handle commonly encountered process control tasks. This feature is especially valuable in systems requiring frequent modifications because of constant changes in governmental standards or other parameters. Minicomputer-based systems, on the other hand, offer sophisticated executives, batch processing, and large data base capability. Besides combining these features, a central mini distributed microsystem offers the additional advantage of allowing the minicomputer to handle the loose coupling of two or more microcomputer tasks.
Using Received Signal Strength Variation for Energy Efficient Data Dissemination in Wireless Sensor Networks
Authors: Senol Zafer Erdogan, Sajid Hussain
Venue: Proceedings of the 18th International Conference on Database and Expert Systems Applications (2007)

In this paper, the values of received signal strength indicator (RSSI) are studied for various deployment environments in wireless sensor networks. The accurate RSSI estimation can improve the accuracy of several algorithms used in localization, mobility, and routing. The experiments are conducted to investigate the variation in RSSI values with respect to: a) distance between transmitter and receiver, b) non-circular radio communication, and c) alignment of transmitter and receiver. The results show that because of a non-circular radio communication model and proper alignment techniques, the overall energy consumption of a sensor network can be reduced by 43%.
A New Method for Cross-Language Information Retrieval by Summing Weights of Graphs
Authors: Song An Yuan, Song Nian Yu
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02 (2007)

Disambiguation is the aim of most translation techniques used in cross-language information retrieval. In this paper, we present a new method for query translation which only needs a bilingual dictionary and a monolingual corpus. Unlike the traditional statistical approach, our method uses co- occurrences between pairs of terms as statistical measure. By adding up all the weights of a k-complete subgraph, we can compare different combinations of target terms. The output of our method is in the form of probability distribution. Then the result is converted to the query in the target language. The method is easy to implement, and experiment shows it performs well.
Reconstructing ddc for interactive classification
Authors: Jun Wang, Meng Chen Lee
Venue: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (2007)

The automated text categorization (TC) has made prominent progress in recent years. However, seldom work is done on automatic classification with library classification systems, the largest and most sophisticated classification systems people ever built, such as the Dewey Decimal classification (DDC). The library classification is a very laborious and time-consuming job that requires qualification and good training. The large-scale classification schemes, such as the DDC, impose several obstacles to the state-of-art TC technologies, including very deep hierarchy, data sparseness, and skewed category distribution. These problems characterize large corpora of real-world applications and it is very hard, if not impossible, to obtain satisfactory results. In this paper, we propose a novel algorithm to reconstruct classification schemes according to the document density and category distribution, and to transform the category hierarchy into a balanced virtual taxonomy by merging sparse categories, lopping dense branches and flattening the hierarchy. To make the classification performance acceptable to real-world applications, we also propose an interactive classification model that only needs two or three times of user interaction. Extensive experiments are conducted on a 10-year bibliographic data collection of the Library of Congress to verify the proposed methodology.
Goal Sketching: Towards Agile Requirements Engineering
Authors: Kenneth Boness, Rachel Harrison
Venue: Proceedings of the International Conference on Software Engineering Advances (2007)

This paper describes a technique that can be used as part of a simple and practical agile method for requirements engineering. The technique can be used together with Agile Programming to develop software in internet time. We illustrate the technique and introduce lazy refinement, responsibility composition and context sketching. Goal sketching has been used in a number of real-world development projects, one of which is described here.