ppxscal/embedding_network huggingface dataset:
Algebraic Attack on HFE Revisited
Authors: Jintai Ding, Dieter Schmidt, Fabian Werner
Venue: Proceedings of the 11th international conference on Information Security (2008)

In this paper, we study how the algebraic attack on the HFE multivariate public key cryptosystem works if we build an HFE cryptosystem on a finite field whose characteristic is not two. Using some very basic algebraic geometry we argue that when the characteristic is not two the algebraic attack should not be polynomial in the range of the parameters which are used in practical applications. We further support our claims with extensive experiments using the Magma implementation of F 4, which is currently the best publicly available implementation of the Gröbner basis algorithm. We present a new variant of the HFE cryptosystems, where we project the public key of HFE to a space of one dimension lower. This protects the system from the Kipnis-Shamir attack and makes the decryption process avoid multiple candidates for the plaintext. We propose an example for a practical application on GF(11) and suggest a test challenge on GF(7).
Scheduling Divisible Real-Time Loads on Clusters with Varying Processor Start Times
Authors: Suriayati Chuprat, Sanjoy Baruah
Venue: Proceedings of the 2008 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (2008)

Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributing arbitrarily parallelizable real-time workloads among processors which become available at different instants in the future. Given a real-time job and the times as which the processors become available, we devise exact efficient algorithms to solve two important problems: (i) determine the smallest number of processors needed to complete this job by its deadline; and (ii) given a specific number of processors, determine the earliest completion time for the job on these processors.
A Linked-Cell Domain Decomposition Method for Molecular Dynamics Simulation on a Scalable Multiprocessor
Authors: L. H. Yang, E. D. Brooks III, J. Belak
Venue: Scientific Programming (1992)

A molecular dynamics algorithm for performing large-scale simulations using the Parallel C Preprocessor (PCP) programming paradigm on the BBN TC2000, a massively parallel computer, is discussed. The algorithm uses a linked-cell data structure to obtain the near neighbors of each atom as time evoles. Each processor is assigned to a geometric domain containing many subcells and the storage for that domain is private to the processor. Within this scheme, the interdomain (i.e., interprocessor) communication is minimized.
Generic Infrastructure for Medical Informatics (GIMI): The Development of a Mammographic Training System
Authors: Moi Hoon Yap, Alastair G. Gale, Hazel J. Scott
Venue: Proceedings of the 9th international workshop on Digital Mammography (2008)

In the UK, a large-scale collaborative research project (GIMI: Generic Infrastructures for Medical Informatics) is underway which is concerned with the development of a secure IT infrastructure to support very widespread medical research across the country. One aspect of this project is to develop a training tool for potential use by mammographers in the UK Breast Screening Programme. A working prototype system has been developed which is currently being tested by clinical colleagues so as to enable it to be further developed prior to any wider deployment. This is currently based on knowing an individual's strengths and weaknesses in mammographic interpretation. The background to the project is given and then the ongoing research is detailed together with future plans for the proposed system.
Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition
Authors: Olivia Mendoza, Patricia Melin, Oscar Castillo, Guillermo Licea
Venue: Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing (2007)

The combination of Soft Computing techniques allows the improvement of intelligent systems with different hybrid approaches. In this work we consider two parts of a Modular Neural Network for image recognition, where a Type-2 Fuzzy Inference System (FIS 2) makes a great difference. The first FIS 2 is used for feature extraction in training data, and the second one to find the ideal parameters for the integration method of the modular neural network. Once again Fuzzy Logic is shown to be a tool that can help improve the results of a neural system, when facilitating the representation of the human perception.
dsmDB: a distributed shared memory approach for building replicated database systems
Authors: Nelson Duarte Filho, Fernando Pedone
Venue: Proceedings of the 2nd workshop on Dependable distributed data management (2008)

Current trends in main memory capacity and cost indicate that in a few years most performance-critical applications will have all (or most of) their data stored in the main memory of the nodes of a small-size cluster. A few recent research papers have pointed this out and proposed architectures taking advantage of clustered environments aggregating powerful processors equipped with large main memories. This position paper proposes yet another approach, which builds on Distributed Shared Memory systems (DSMs) introduced in the early 80's. We introduce the idea of the dsmDB, discuss how its architecture could be organized, and elaborate on some of its algorithms. We conclude the paper with a discussion of some of its advantages and drawbacks.
Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks
Authors: Saraju P. Mohanty, Bharat K. Bhargava
Venue: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) (2008)

This article presents a novel invisible robust watermarking scheme for embedding and extracting a digital watermark in an image. The novelty lies in determining a perceptually important subimage in the host image. Invisible insertion of the watermark is performed in the most significant region of the host image such that tampering of that portion with an intention to remove or destroy will degrade the esthetic quality and value of the image. One feature of the algorithm is that this subimage is used as a region of interest for the watermarking process and eliminates the chance of watermark removal. Another feature of the algorithm is the creation of a compound watermark using the input user watermark (logo) and attributes of the host image. This facilitates the homogeneous fusion of a watermark with the cover image, preserves the quality of the host image, and allows robust insertion-extraction. Watermark creation consists of two distinct phases. During the first phase, a statistical image is synthesized from a perceptually important subimage of the image. A compound watermark is created by embedding a watermark (logo) into the statistical synthetic image by using a visible watermarking technique. This compound watermark is invisibly embedded into the important block of the host image. The authentication process involves extraction of the perceptive logo as well statistical testing for two-layer evidence. Results of the experimentation using standard benchmarks demonstrates the robustness and efficacy of the proposed watermarking approach. Ownership proof could be established under various hostile attacks.
Phishwish: A Stateless Phishing Filter Using Minimal Rules
Authors: Debra L. Cook, Vijay K. Gurbani, Michael Daniluk
Venue: Financial Cryptography and Data Security: 12th International Conference, FC 2008, Cozumel, Mexico, January 28-31, 2008. Revised Selected Papers (2008)

We introduce phishwish, a phishing filter that offers advantages over existing filters: It does not need any training and does not consult centralized white or black lists. Furthermore, it is simple to configure, requiring only 11 rules to determine the veracity of an incoming email. We compare the performance of phishwish to SpamAssassin and to Google's browser-based phishing filter. Our results indicate that phishwish outperforms these filters and identifies zero days attacks that went undetected by existing filters.
Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neurons
Authors: Takashi Kanamaru, Kazuyuki Aihara
Venue: Neural Computation (2008)

The synchronous firing of neurons in a pulse-coupled neural network composed of excitatory and inhibitory neurons is analyzed. The neurons are connected by both chemical synapses and electrical synapses among the inhibitory neurons. When electrical synapses are introduced, periodically synchronized firing as well as chaotically synchronized firing is widely observed. Moreover, we find stochastic synchrony where the ensemble-averaged dynamics shows synchronization in the network but each neuron has a low firing rate and the firing of the neurons seems to be stochastic. Stochastic synchrony of chaos corresponding to a chaotic attractor is also found.
Anonymous Misbehavior Detection in Mobile Ad Hoc Networks
Authors: Bo Zhu, Kui Ren, Lingyu Wang
Venue: Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops (2008)

In this paper, we propose the first protocol that can achieve anonymous misbehavior detection in mobile ad hoc networks. On the one hand, our protocol can provide anonymity for the witness who reports observed misbehavior. Together with a distributed trust mechanism, our protocol can identify malicious or selfish users in an anonymous manner. On the other hand, the misuse of witness anonymity is prevented in such a way that any malicious user who broadcasts multiple claims against the same user for the same reason can be identified. An exemplary scenario is simulated to show the necessities of witness anonymity in mobile ad hoc networks and the effectiveness of our protocol in achieving such anonymity.
Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification
Authors: Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

Regularized multiple-criteria linear programming (RMCLP) model is a new powerful method for classification in data mining. Taking account of every training instance, RMCLP is sensitive to the outliers. In this paper, we propose a sample selection method to seek the representative points for RMCLP model, just as finding the support vectors to support vector machine (SVM). This sample selection method also can exclude the outliers in training set and reduce the quantity of training samples, which can significantly save costs in business world because labeling training samples is usually expensive and sometimes impossible. Experimental results show our method not only reduces the quality of training instances, but also improves the performance of RMCLP.
Extraction of 3D Line Segment Using Digital Elevation Data
Authors: Dong-Min Woo, Seung-Soo Han, Dong-Chul Park, Quoc-Dat Nguyen
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02 (2008)

3D line segment can be regarded as one of the most useful features in constructing 3D model. In this context, this paper presents a new 3D line segment extraction method by using line fitting of elevation data on 2D line coordinates of ortho-image. In order to use elevation in line fitting, the elevation itself should be reliable. To measure the reliability of elevation, in this paper, we employ the concept of self-consistency. We test the effectiveness of the proposed method with a quantitative accuracy analysis using synthetic images generated from Avenches data set of Ascona aerial images. Experimental results indicate that our method generates 3D line segments almost 10 times more accurate than raw elevations obtained by area-based method.
A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching
Authors: Jonathan Weber, Sébastien Lefèvre
Venue: Proceedings of the 3rd international conference on Image and Signal Processing (2008)

The Hit-or-Miss transform is a well-known morphological operator for template matching in binary and grey-level images. However it cannot be used straightforward in multivalued images (such as colour or multispectral images) since Mathematical Morphology needs an ordering relation which is not trivial on multivalued spaces. Moreover, existing definitions of the Hit-Or-Miss Transform in grey-level use only spatial templates (or structuring elements) which could be insufficient for some feature extraction problems. In this paper, we propose a multivariate Hit-or-Miss Transform operator which combines spatial and spectral patterns to perform template matching. We illustrate its relevance with an application in the remote sensing field, the extraction of coastline from very high (spatial) resolution images.
A Flexible Image Retrieval Framework
Authors: Raoul Pascal Pein, Zhongyu Lu
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

This paper discusses a framework for image retrieval. Most current systems are based on a single technique for feature extraction and similarity search. Each technique has its advantages and drawbacks concerning the result quality. Usually they cover one or two certain features of the image, e.g. histograms or shape information.The proposed framework is designed to be highly flexible, even if performance may suffer. The aim is to give people a platform to implement almost any kind of retrieval issues very quickly, whether it is content based or somehing else. The second advantage of the framework is the possibility to change retrieval characteristics within the program completely. This allows users to configure the ranking process as needed.
Letters: Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects
Authors: Li Sheng, Huizhong Yang
Venue: Neurocomputing (2008)

This paper studies the problems of exponential synchronization for a class of neural networks with mixed time-varying delays and impulsive effects. By using the Lyapunov functional method, some sufficient conditions have been derived to ensure the exponential stability for the error system, and thus the drive system synchronize with the response system. Moreover, the designing laws for the controlling gain matrix in the synchronization of neural networks are proposed via output or state coupling. Two examples are given to show the effectiveness of the obtained results.
On the reconstruction of binary and permutation matrices under (binary) tomographic constraints
Authors: S. Brunetti, A. Del Lungo P. Gritzmann, S. de Vries
Venue: Theoretical Computer Science (2008)

The paper studies the problem of reconstructing binary matrices constrained by binary tomographic information. We prove new NP-hardness results that sharpen previous complexity results in the realm of discrete tomography but also allow applications to related problems for permutation matrices. Hence our results can be interpreted in terms of other combinatorial problems including the queens' problem.
A unified approach to some inequalities of Ostrowski-Grüss type
Authors: Shijun Yang
Venue: Computers Mathematics with Applications (2006)

Based on the Euler-Maclaurin formula in the spirit of [1], we provide a unified approach to some inequalities of Ostrowski-Gruss type, which include some existing results as special cases. Some illustrative examples are also included.
Trend Analysis for Decision Support in Control Actions of Suspension Polymerization
Authors: Hideyuki Matsumoto, Masaya Honda, Chiaki Kuroda
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

This paper presents an application method of trend analysis for decision support in the control action of divided addition of stabilizer in suspension polymerization. The proposed method can extract segments online from time-series temperature data, and it is shown that segments extracted by appropriate setting of thresholds can give us information useful for determination of timing of the second addition of suspension stabilizer. Moreover, it is seen that dynamic analysis of slope of extracted segments can provide us with information relevant to unfavorable behavior of droplets in a plain form. It is demonstrated that the dynamic analysis of segments is also useful for prevision of reactor fouling.
Modular Development of Hybrid Systems for Verification in Coq
Authors: Milad Niqui, Olga Tveretina
Venue: Proceedings of the 11th international workshop on Hybrid Systems: Computation and Control (2008)

In this paper we present a formalization of the theory of hybrid automata and algorithms for building trajectory trees using module types and functors in the Coq proof assistant.
Input to the mobile web is situationally-impaired
Authors: Tianyi Chen
Venue: Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility (2008)

Our work investigates the common problems experienced by mobile Web users and disabled desktop users. Leveraging research between these two domains is important because if common problems exist, available solutions can be migrated from one domain to another. For a proof of concept, we conducted a study with mobile Web users. The study replicated a previous experiment which investigated keyboard and mouse errors of motor impaired desktop users. Results confirm that these two domains share similar problems with regard to typing and pointing. Following the same methodology, we will investigate the problems shared by mobile Web users and disabled desktop users for output.
Aerosol Optical Thickness Retrieval over Land from MODIS Data on Remote Sensing Information Service Grid Node
Authors: Jianping Guo, Yong Xue, Ying Wang, Yincui Hu, Jianqin Wang, Ying Luo, Shaobo Zhong, Wei Wan, Lei Zheng, Guoyin Cai
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

The signal at the top of the atmosphere will certainly contain information about both the surface and the atmosphere. To derive the geophysical parameters from satellites remote sensing images, the atmospheric effects must be decoupled. Aerosol Optical Thickness (AOT), an important aerosol optical property, should be correctly determined to remove the atmospheric effect. The retrieval process is great time-consuming and the EMS memory required is too large for a personal computing to run efficiently. Therefore, to facilitate the process smoothly, SYNTAM model is used to retrieve AOT over a wide range of land including China and one European area from MODIS data on the Remote Sensing Information Service Grid Node (RSIN, http://www.tgp.ac.cn) deployed at Institute of Remote Sensing Applications, Chinese Academy of Sciences. AOT retrieval results show that the RSIN Grid service is high efficient and has the potential to be applied to the remote sensing parameter inversion.
Evaluating Domain Design Approaches Using Systematic Review
Authors: Ednaldo Dilorenzo Souza Filho, Ricardo Oliveira Cavalcanti, Danuza F. Neiva, Thiago H. Oliveira, Liana Barachisio Lisboa, Eduardo Santana Almeida, Silvio Romero Lemos Meira
Venue: Proceedings of the 2nd European conference on Software Architecture (2008)

Software Product Lines are growing as a systematic way for achieving reuse in software companies. It involves three processes: domain engineering, application engineering and management. In domain engineering, assets that will be reused by products are developed, composing the core assets. In this context, the product line architecture, also called Domain Specific Software Architecture (DSSA), is an essential member in the collection of core assets. A good DSSA increases the probability of the success of applications that will be instantiated from it. In order to design a good DSSA, a process should be followed to manage domain's variability and commonality. On the other hand, companies that are moving from single system development to software product lines need systematic activities for taking advantage of existing assets to develop a DSSA. Thus, this paper presents a systematic review on domain design approaches, which can be useful for companies to understand the current scenario, and to choose a more suitable one or adapt them for their needs.
Design and Analysis of Conceptual Sketches Based on Context Awareness
Authors: Cuixia Ma, Hongan Wang, Dongxing Teng, Guozhong Dai
Venue: Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction (2008)

This paper presents a framework of sketch editing environment for conceptual design process based on context. It analyzes the characteristics of design process and presents sketch description model for sketch based interface. Furthermore, it discusses the context fusion methodologies and algorithms to infer design context to understand designers' intent and communicate with designers intuitively. The context mainly is related to user, environment, and machine. A sample application is given to conduct the process planning drawings by sketching, exploring and modifying their ideas interactively, with immediate and continuous visual feedback. In the paper, we aims to study designing a sketch based interface enabling both computer and designer aware of underlying design contexts and providing intelligent operations.
The Rise and Fall of Juan Perez: Key Pressing Behaviour and Children's Responses to Interactive Television
Authors: Nisha Weeramanthri
Venue: Proceedings of the 6th European conference on Changing Television Environments (2008)

This paper outlines usability evaluation procedures in an industry-linked research study of preschool children and interactive television. Preschool children's responses to interactive television prototypes were assessed in a controlled laboratory setting situated within a familiar environment. It reports on the analysis of key pressing behaviour as a quantitative measure of preschool children's responses to interactive technologies. The relationship between key pressing behaviour and levels of motivation, mastery and breakdown is explored. 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
Ternary Tree Based Group Key Management in Dynamic Peer Networks
Authors: Wei Wang, Jianfeng Ma, Sangjae Moon
Venue: Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers (2007)

For group-oriented applications, designing secure and efficient group key management schemes is a major problem. We present a group key management scheme for dynamic peer networks, which supports join, leave, merge and partition events. In the scheme, the numbers of rounds and messages are close to the lower bounds of those for dynamic group key management, and the length of messages and computation costs are less than those of the existing schemes. Furthermore, this scheme provides forward secrecy, backward secrecy and key independence.
Speed Performance Improvement of Vehicle Blob Tracking System
Authors: Sung Chun Lee, Ram Nevatia
Venue: Multimodal Technologies for Perception of Humans: International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers (2008)

A speed performance improved vehicle tracking system on a given set of evaluation videos of a street surveillance system is presented. We implement multi-threading technique to meet the requirement of real-time performance which demanded in the practical surveillance systems. Through multi-threading technique, we can accomplish near real-time performance. An analysis of results is also presented.