ppxscal/embedding_network huggingface dataset:
Neural Network Based Approaches, Solving Haplotype Reconstruction in MEC and MEC/GI Models
Authors: M-Hossein Moeinzadeh, Ehsan Asgarian, Sara Sharifian-R, Amir Najafi-Ardabili, Javad Mohammadzadeh
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

SNPs (Single Nucleotide Polymorphism) are different variant positions (1% of DNA sequence) of human genomes which their mutation is associated with complex genetic diseases. As a consequence, obtaining all SNPs from human populations is one of the primary goals of recent studies on human genomics. Two sequences of mentioned SNPs in diploid human organisms are called haplotypes. In this paper, the problem of haplotype reconstruction from SNP-fragments with and without genotype information is studied. Minimum error correction (MEC) is an important model for this problem but only effective when the error rate of the fragments is low. MEC/GI as an extension to MEC employs the related genotype information besides the SNP fragments and therefore results in a more accurate inference. We introduce algorithmic neural network based approaches (UWNN) and experimentally prove that our methods are fast and accurate. In particular, comparing our approaches with a feed-forward (and back-propagation like) neural network of [2], UWNN is faster, more accurate and also compatible for solving MEC model.
Methodological Approach to Reducing Speckle Noise in Ultrasound Images
Authors: Antonio Fernández-Caballero, Juan L. Mateo
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 02 (2008)

This article investigates and compiles some of the techniques mostly used in the smoothing or suppression of speckle noise in ultrasound images. With this information, a comparison of all the methods studied is done based on an experiment, using quality metrics to test their performance and show the benefits each one can contribute. To test the methods, a synthetic, noise-free image is created and later applied well-known noise models to corrupt it. This way, the smoothing techniques can be compared using numeric metrics, taking the noise-free image as a reference. Since realultrasound images are already noise corrupted images and real noise-free images do not exist, conventional metrics cannot be used to indicate the quality obtained with filtering. Nevertheless, we propose the use of the tendencies observed in our study in real images.
Data Reduction and Ensemble Classifiers in Intrusion Detection
Authors: Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam Shamsuddin
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous detection and the use of full feature set to look for intrusive patterns in the network packet. The purpose of this paper are; to address the issue of continuous detection by introducing traffic monitoring mechanism and a lengthy detection process by selectively choose significant features to represent a network connection. In traffic monitoring, a new recognition paradigm is proposed in which it minimizes unnecessary recognition. Therefore, the purpose of traffic monitoring is two-folds; to reduce amount of data to be recognized and to avoid unnecessary recognition. Empirical results show 30 to 40 percent reduction of normal connections is achieved in DARPA KDDCup 1999 datasets. Finally we assembled Adaptive Neural Fuzzy Inference System and Linear Genetic Programming to form an ensemble classifiers. Classification results showed a small improvement using the ensemble approach for DoS and R2L classes.
Key management and secure software updates in wireless process control environments
Authors: Dennis K. Nilsson, Tanya Roosta, Ulf Lindqvist, Alfonso Valdes
Venue: Proceedings of the first ACM conference on Wireless network security (2008)

Process control systems using wireless sensor nodes are large and complex environments built to last for a long time. Cryptographic keys are typically preloaded in the wireless nodes prior to deployment and used for the rest of their lifetime. To reduce the risk of successful cryptanalysis, new keys must be established (rekeying). We have designed a rekeying scheme that provides both backward and forward secrecy. Furthermore, since these nodes are used for extensive periods of time, there is a need to update the software on the nodes. Different types of sensors run different types and versions of software. We therefore establish group keys to update the software on groups of nodes. The software binary is split into fragments to construct a hash chain that is then signed by the network manager. The nodes can thus verify the authenticity and the integrity of the new software binary. We extend this protocol by encrypting the packets with the group key such that only the intended receivers can access the new software binary.
A rational decomposition-lemma for systems of linear differential-algebraic equations
Authors: Eckhard Pflüegel
Venue: Proceedings of the twenty-first international symposium on Symbolic and algebraic computation (2008)

We give a new decomposition lemma for linear differential-algebraic equations (DAEs). This generalises a result which we have given in [12] for singular linear systems of ordinary differential equations to the class of linear DAEs with formal power series coefficients. The results of this paper are a first step towards a formal reduction algorithm for this type of equations.
Pre-monsoon Indian Ocean SST in contrasting years of Indian summer monsoon rainfall
Authors: S. K. Sasamal
Venue: International Journal of Remote Sensing (2007)

The anomalous change in SST of June with reference to May studied for the Indian Ocean region (0-120°E, 40°S-40°N) during 1998 to 2005. The change in monthly SST anomaly in the equatorial region were studied along with changes in water vapor and wind field in 1998 and 2002, the years that representing contrasting changes in the summer monsoon rainfall. The westward extending equatorial warm pool in the Indian Ocean was found relative weak and found relatively weak during 1998 in contrast to those in 2002. Similar analysis further extended till 2005 indicated further the influence of the equatorial warm pool on the summer monsoon rainfall over the Indian subcontinent.
A unified framework for low-memory and on-the-fly implementation of generic tree-structured M-channel QMF banks
Authors: Xiongming Zhang, Lizhi Cheng, Huanzhang Lu, Deli Chen
Venue: Signal Processing (2008)

We study the low-memory and on-the-fly implementation of generic tree-structured M-channel quadrature mirror filter (QMF) banks. A unified framework is proposed in which the forward and inverse transforms are addressed as an integral system. To cope with the decomposition of finite-length signals, an on-the-fly treatment of boundary extension is also presented. The proposed unified framework has the advantages of on-the-fly computation, memory requirement independent of the input signal length, adaptability to varied cascading patterns of filter banks (FBs), and most of all, producing exactly the same subband coefficients as those obtained by the conventional global transform that buffers the whole signal. Examples with 2-channel odd-length linear-phase finite impulse response (FIR) FBs as well as lapped transforms are presented to demonstrate the approach proposed. Lastly, a comparison of memory sizes for three typical configurations of tree-structured FBs is also provided to show the flexibility and application of this framework.
Generalized fuzzy Hv-submodules endowed with interval valued membership functions
Authors: B. Davvaz, Jianming Zhan, K. P. Shum
Venue: Information Sciences: an International Journal (2008)

We introduce the concept of an interval valued (@a,@b)-fuzzy H"v-submodule of an H"v-module. This concept is a generalization of a fuzzy H"v-submodule of an H"v-module. In the paper, we investigate interval valued (@?,@?@?q)-fuzzy H"v-submodules and present some structural results. We also consider such H"v-submodules endowed with an implicative operation. Some related results recently obtained by Davvaz, Dudek, Corsini and Jun on H"v-submodules are extended.
An Attack on the Zhou-Fan-Li Authenticated Multiple-Key Agreement Protocol
Authors: Sheng Zhong
Venue: Cryptologia (2007)

Recently, an improved protocol for authenticated multiple-key agreement was proposed. In this article, an attack on that protocol is shown in which, with half probability, an adversary can impersonate any participant of the protocol to generate "shared" keys with others.
A lower bound on the independence number of arbitrary hypergraphs
Authors: Torsten Thiele
Venue: Journal of Graph Theory (1999)

We present a lower bound on the independence number of arbitrary hypergraphs in terms of the degree vectors. The degree vector of a vertex v is given by d(v) = (d1(v), d2(v), &hellip;) where dm(v) is the number of edges of size m containing v. We define a function f with the property that any hypergraph H = (V, E) satisfies &alpha;(H) &ge; &Sigma;v&epsilon;V f(d(v)). This lower bound is sharp when H is a match, and it generalizes known bounds of Caro-Wei and Caro-Tuza for ordinary graphs and uniform hypergraphs. Furthermore, an algorithm for computing independent sets of size as guaranteed by the lower bound is given. &copy; 1999 John Wiley Sons, Inc. J Graph Theory 30: 213221, 1999
Text collections for FIRE
Authors: Prasenjit Majumder, Mandar Mitra, Dipasree Pal, Ayan Bandyopadhyay, Samaresh Maiti, Sukanya Mitra, Aparajita Sen, Sukomal Pal
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

The aim of the Forum for Information Retrieval Evaluation (FIRE) is to create a Cranfield-like evaluation framework in the spirit of TREC, CLEF and NTCIR, for Indian Language Information Retrieval. For the first year, six Indian languages have been selected: Bengali, Hindi, Marathi, Punjabi, Tamil, and Telugu. This poster describes the tasks as well as the document and topic collections that are to be used at the FIRE workshop.
A Sub-optimal Eigenvalue-Based Adaptive Modulation Scheme for Broadband MIMO-OFDM Systems
Authors: Mikael Gidlund
Venue: Proceedings of the Communication Networks and Services Research Conference (2008)

The ability to provide high data rate is a key measure in 3GPP Long Term Evolution (LTE). Multiple Input Multiple Output (MIMO) has emerged as an technique that increases the data rates in 3G systems. In this paper we study MIMO-OFDM system based on adaptive modulation and investigate the precoding technology. We present a method for adaptive modulation based on eigenvalues and a precoding matrix will be used at the transmitter according to singular value decomposition. A low complexity ratio-based algorithm with good performance is proposed to decide which modulation scheme to be used. The achieved results show that the proposed scheme outperforms basic beamforming with adaptive modulation.
Actively learning level-sets of composite functions
Authors: Brent Bryan, Jeff Schneider
Venue: Proceedings of the 25th international conference on Machine learning (2008)

Scientists frequently have multiple types of experiments and data sets on which they can test the validity of their parameterized models and locate plausible regions for the model parameters. By examining multiple data sets, scientists can obtain inferences which typically are much more informative than the deductions derived from each of the data sources independently. Several standard data combination techniques result in target functions which are a weighted sum of the observed data sources. Thus, computing constraints on the plausible regions of the model parameter space can be formulated as finding a level set of a target function which is the sum of observable functions. We propose an active learning algorithm for this problem which selects both a sample (from the parameter space) and an observable function upon which to compute the next sample. Empirical tests on synthetic functions and on real data for an eight parameter cosmological model show that our algorithm significantly reduces the number of samples required to identify the desired level-set.
Collaboratively Scheduling to Decrease Inter-AS Traffic in P2P Live Streaming
Authors: Xuping Tu, Hai Jin, Xiaofei Liao, Weidong Wang, Sirui Yang, Qi Huang
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops (2008)

In the existing data fetching algorithms for P2P streaming systems, the peers usually fetch data independently, leading to huge inter-AS traffic (AS: Autonomous System). This paper proposes CoFetch, a collaborative fetching algorithm for P2P live streaming systems to decrease inter-AS traffic. In CoFetch, to avoid that all peers fetch the same data from inter-AS connection, instead of aggressively fetching data depending on the peers’ own desires, the peers divide requests into multiple steps. In each step, peers mainly and locally share data fetched in previous steps by other collaborating peers and request subset data from inter-AS connections. The analytical results show that, inter-AS traffic in CoFetch is independent of the number of peers in AS but the number of collaborating peers in AS. Furthermore, in each overlay, when we limit the number of collaborating peers in one AS from 5 to 20, the inter-AS traffic is about 1.7~3 times of the streaming rate, regardless of the number of peers.
Linking information for mobile use
Authors: Robert Myers, Edwar Zapata, Gurminder Singh
Venue: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology (2007)

Information Management (IM) has been an area of research and discussion for several decades. Studies have been conducted by both behavioral and computer scientists on how people organize their information and workspaces in order to come up with an efficient way to store, organize and retrieve information on personal computers. This paper explores improving a user's ability to manage information on mobile devices. The goal is to make placing information on such devices a more attractive prospect, with an emphasis on retrieval of stored information regardless of the document type. This will result in mobile users having quick access to the right information at the right time while away from the office or home. This paper describes the challenges inherent in a mobile scenario and proposes a system to address those challenges. The system provides visual and navigational features that are not currently available on mobile applications, specifically the ability to view multiple types of items in a single interface. Additionally, the ability to logically link related items as an IM tool is examined.
Application of TPB to punctuation usage in instant messaging
Authors: L. Zhou
Venue: Behaviour & Information Technology (2007)

Instant messaging (IM) is being widely used in the workplace and personal life at an accelerated rate. In this paper, we empirically investigate an extension of TPB (Theory of Planned Behaviour) model to explain why individuals use punctuation in IM. Conceptually, we examine attitude and behavioural belief and their impacts on punctuation usage. Our research model was tested in an empirical study, which confirmed all of our hypotheses. This paper also explains why people prefer to use punctuation in IM and how the usage is moderated by the communication context.
Coverage optimization in continuous space facility siting
Authors: Alan T. Murray, Daoqin Tong
Venue: International Journal of Geographical Information Science (2007)

Facility placement and associated service coverage are major concerns in urban and regional planning. In this paper an approach is detailed for the problem of covering spatial demand for service, where potential facilities are located in the continuous plane. It is shown that weighted demand, represented as points, lines or polygons, can be optimally served by a finite number of potential facility locations, called the polygon intersection point set (PIPS). The developed approach is an extension of a point-based abstraction of demand to more general representations (e.g. points, lines or polygons). An empirical analysis of warning siren siting in Ohio is carried out, highlighting the applicability of this approach.
Scheduling in a continuous galvanizing line
Authors: Vicente Valls Verdejo, M. Angeles Pérez Alarcó, M. Pilar Lino Sorlí
Venue: Computers and Operations Research (2009)

In this paper we address a sequencing problem in a Continuous Galvanizing Line of a Spanish Steel Company. Production scheduling in this context is an extremely complex task which needs to take into account many constraints. We present a conceptually simple model and a Tabu Search (TS) algorithm that efficiently solves it. The TS moves are defined in order to repair non-satisfied constraints, leading to smaller and more efficient neighbourhoods. The TS co-ordinates several intensification and diversification procedures guided by an evaluation function based on a shifting penalty strategy. This function reinforces the anticycling mechanism and makes the algorithm avoid already visited solutions. Our approach has been tested on some real instances from the galvanizing line. Computational results show that the TS improves, in all instances, the company solutions.
Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns
Authors: Daniel Howard, Simon C. Roberts, Adrian Brezulianu, Conor Ryan
Venue: Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies (2007)

A taxonomy of mammography patterns has a number of potential uses which are discussed in this paper. The paper also presents further details about an organization of the mammography archive that was achieved by means of the SONNET self-organizing neural network. Preliminary results on the possible use of the mammography taxonomy to detect cancerous lesions via asymmetry identification are presented. A SONNET hierarchy capable of classifying parenchyma sub-types which combines with evolutionary computation is proposed which may overcome the challenging problem of the search for multiscale features over a diverse set of mammograms.
Pro ASP.NET 3.5 Server Controls and AJAX Components (Pro)
Authors: Rob Cameron, Dale Michalk
Venue:  (2008)

Pro ASP.NET 3.5 Server Controls and AJAX Components is a reference for the serious ASP.NET developer who understands the benefits of objectoriented development and wants to apply those principles to ASP.NET 3.5, ASP.NET AJAX, and server control development. This book also covers SharePoint and targets the latest version of Visual Studio (2008) and the .NET Framework (3.5). Highlights include the following: Covers the new features in ASP.NET 3.5 and ASP.NET AJAX technology Describes the ASP.NET server control architecture in Visual Studio 2008/ASP.NET 3.5 covering state management, events, rendering, cross-platform support, control life cycle, localization, and deployment. Demonstrates how to integrate clientside development technologies such as DHTML and JavaScript with server control technology to create powerful interactive controls What youll learn Create a powerful suite of interactive controls using ASP.NET 3.5 and ASP.NET AJAX. Enrich the designtime experience when building custom server controls. Integrate clientside development technologies such as DHTML and JavaScript with server control technology. Develop SharePoint server controls. Learn the background on user controls as compared to server controls. Work with the new mobile controls in ASP.NET 3.5. Who is this book for? The serious ASP.NET developer who understands the benefits of object7ndash;oriented development and wants to apply those principles to ASP.NET 3.5 and server control development. About the Apress Pro Series Apress Pro series are practical, professional tutorials to keep you on and moving up the professional ladder.You have gotten the job, you need to go hone your skills in these tough competitive times. The Apress Pro Series expands your skills and expertise in exactly the areas you need. Master the content of a Pro book and you will always be able to get the job done in a professional development project. Written by experts in their field, Pro Series books from Apress give you the hardwon solutions to problems you will face in your professional programming career. Related Titles Foundations of ASP.NET AJAX Pro Ajax and the .NET 2.0 Platform Pro ASP.NET 3.5 in C# 2008, Second Edition Pro LINQ: Language Integrated Query in C# 2008 Ajax Patterns and Best Practices Ajax and REST Recipes: A Problem-Solution Approach
Pro SQL Server Disaster Recovery (Pro)
Authors: James Luetkehoelter
Venue:  (2008)

Many would argue that the single, most important job of a SQL Server database administrator is to be able to recover your database in the event of loss or damage. Pro SQL Server Disaster Recovery helps you meet that goal by showing you how to think about and plan for potential problems. Youll learn to anticipate and reduce the likelihood of a disaster, and to mitigate the effects of a disaster when one does occur. Perhaps most importantly, youll learn how to prepare so that you can return a system to its normal state quickly, ensuring system availability and the continued success and operation of your business. Many SQL Server features and technologies are, or can be put to good use in disaster recovery planning. In this book, youll learn about powerful tools and features such as Database Snapshots and Mirroring for data backup and disaster recovery that are present in SQL Server 2005, and that are enhanced in SQL Server 2008. Also covered are common issues to expect when using these features. This book explores your options by examining the technical details of disaster recovery features and then applying that knowledge to practical scenarios. Theres a human side to disaster recovery planning as well. Like few other activities, disaster recovery planning requires that you work closely with a wide variety of people from all across your organization. People skills are as critical to disaster recovery planning as technical skills, and perhaps more so. This book does not leave you in the dark, but provides sound advice on how to keep disaster recovery planning projects on track, how to avoid dangerous scope creep, and how to work effectively with the variety of personality types that you will encounter. Disaster recovery planning is really about sleep. When you get the call at 3:00 am that your database is lost, dont wake up with that icy feeling in your veins. Instead wake up with confidence that you have a plan in place, a plan that youve practiced, that management has bought into, a plan that you can execute even while halfasleep to get your database, your company, and your job back on track. What youll learn This book shows you how to implement an effective disaster recovery strategy for SQL Server 2005 databases. It covers: Realworld examples of data loss and what might have been done to prevent it A systematic, problembased approach to designing a disaster recovery plan Pitfalls one might encounter, and how to deal with them Team dynamics, and the softside of disaster planning New technology in SQL Server 2005 and 2008 that takes disaster recovery beyond the simple backup/recovery plan When and why to use disaster recovery features, as opposed to just describing how they work Who is this book for? SQL Server database administrators