ppxscal/embedding_network huggingface dataset:
Demonstration of a WSN Application in Relic Protection and an Optimized System Deployment Tool
Authors: Dong Li, Wei Liu, Ze Zhao, Li Cui
Venue: Proceedings of the 7th international conference on Information processing in sensor networks (2008)

This paper presents an overview of our demonstration of a real application of a WSN system for relic protection applied in the Forbidden City of China. We briefly introduce the EasiNet hardware platform we have developed and the corresponding mesh-architecture of the system constructed. We present a sensor deployment optimization tool based on ant colony optimization technology (DT-ACO) to meet the requirements of network connectivity, sensing coverage and a minimized overall cost of the system. We describe a novel power-aware cross-layer scheme (PACS) to facilitate adjustable system lifetime and surveillance accuracy. We also show some detailed results of the application case.
The 1st international workshop on computational social choice
Authors: Ulle Endriss
Venue: The Knowledge Engineering Review (2008)

Computational social choice is a new discipline currently emerging at the interface of social choice theory and computer science. It is concerned with the application of computational techniques to the study of social choice mechanisms, and with the integration of social choice paradigms into computing. The first international workshop specifically dedicated to this topic took place in December 2006 in Amsterdam, attracting a mix of computer scientists, people working in artificial intelligence and multiagent systems, economists, game and social choice theorists, logicians, mathematicians, philosophers, and psychologists as participants.
An Image Encryption System by Cellular Automata with Memory
Authors: Farhad Maleki, Ali Mohades, S. Mehdi Hashemi, Mohammad Ebrahim Shiri
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

In this paper, an Image Encryption System by special kind of cellular automata (cellular automata with memory) and also an appropriate transition function for the cryptosystem have been proposed. Also a lossy idea is used to present a secure cryptosystem. The use of lossy method provides a secure method and it is shown that the result is resistant to cryptanalysis attacks, especially known plaintext and chosen plaintext. When the original image is compared with the decrypted image by human visual system, it is not recognizable which one is decrypted and which one is the original image.
Data-Intensive Computing in the 21st Century
Authors: Ian Gorton, Paul Greenfield, Alex Szalay, Roy Williams
Venue: Computer (2008)

The deluge of data that future applications must process—in domains ranging from science to business informatics—creates a compelling argument for substantially increased R&D targeted at discovering scalable hardware and software solutions for data-intensive problems.
Automatic Test Pattern Generation for Interconnect Open Defects
Authors: Stefan Spinner, Ilia Polian, Piet Engelke, Bernd Becker, Martin Keim, Wu-Tung Cheng
Venue: Proceedings of the 26th IEEE VLSI Test Symposium (2008)

We present a fully automated flow to generate test patterns for interconnect open defects. Both inter-layer opens (open-via defects) and arbitrary intra-layer opens can be targeted. An aggressor-victim model used in industry is employed to describe the electrical behavior of the open defect. The flow is implemented using standard commercial tools for parameter extraction (PEX) and test generation (ATPG). A highly optimized branch-and bound algorithm to determine the values to be assigned to the aggressor lines is used to reduce both the ATPG efforts and the number of aborts. The resulting test sets are smaller and achieve a higher defect coverage than stuck-at n-detection test sets, and are robust against process variations.
On the inverse problem of identifying Lamé coefficients in linear elasticity
Authors: B. Jadamba, A. A. Khan, F. Raciti
Venue: Computers Mathematics with Applications (2008)

An output least-squares type functional is employed to identify the Lame parameters in linear elasticity. To be able to identify even the discontinuous Lame parameters the regularization is performed by the BV-seminorm. Finite element discretization is used and convergence analysis is given. Numerical examples are given to show the feasibility of the approach.
Trust in E-services: Technologies, Practices and Challenges
Authors: Ronggong Song, Larry Korba, George Yee
Venue:  (2007)

The tremendous growth of the Internet is successfully making a variety of e-services a part of citizens everyday life. E-services such as: Web-banking, Web shopping, e-learning, e-healthcare, and e-government, are available in most countries around the world. Trust in E-Services: Technologies, Practices and Challenges provides an overview of e-service trust issues, including: definitions, constructs, and relationships with other research topics such as security, privacy, reputation, and risk. Trust in E-Services: Technologies, Practices and Challenges introduces and discusses the existing trust platforms and management tools such as trust evaluation, reasoning approaches, and mechanisms for e-services. This book also offers contributions from researchers and practitioners with real-life experience and practice on how to build a trust environment for e-government services.
Effective and efficient user interaction for long queries
Authors: Giridhar Kumaran, James Allan
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

Handling long queries can involve either pruning the query to retain only the important terms (reduction), or expanding the query to include related concepts (expansion). While automatic techniques to do so exist, roughly 25% performance improvements in terms of MAP have been realized in past work through interactive variants. We show that selectively reducing or expanding a query leads to an average improvement of 51% in MAP over the baseline for standard TREC test collections. We demonstrate how user interaction can be used to achieve this improvement. Most interaction techniques present users with a fixed number of options for all queries. We achieve improvements by interacting less with the user, i.e., we present techniques to identify the optimal number of options to present to users, resulting in an interface with an average of 70% fewer options to consider. Previous algorithms supporting interactive reduction and expansion are exponential in nature. To extend their utility to operational environments, we present techniques to make the complexity of the algorithms polynomial. We finally present an analysis of long queries that continue to exhibit poor performance in spite of our new techniques.
Poster abstract: scalable and collaborative internet access for opportunistic people networks
Authors: Ling-Jyh Chen, Ting-Kai Huang, Che-Liang Chiou
Venue: Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing (2008)

We propose a Scalable and Collaborative Internet Access approach, called SCIA, for mobile web surfing. Unlike traditional approaches, the proposed scheme implements a Collaborative Forwarding algorithm that takes advantage of opportunistic wireless connections, and thus improves network capacity by exploiting the diversity of network mobility. Moreover, using the Layered Multiple Description Coding (LMDC) algorithm, the SCIA scheme allows the end user to 'preview' the web content, even before the data has been completely transferred. Using simulations as well as realistic opportunistic people network scenarios, we demonstrate that the SCIA scheme provides a better web surfing service than traditional schemes, and thus facilitates more effective web surfing on the go.
From the Archives: Polish Interwar MFA's Cipher Compromised?
Authors: Jan Bury
Venue: Cryptologia (2007)

A 1940 report suggests that the cryptosystem used by the interbellum Polish Ministry of Foreign Affairs had been compromised, enabling the Germans to read the encrypted diplomatic traffic of the Poles and learn about their plans in advance.
Possibilistic clustering criterion for the segmentation of magnetic resonance images
Authors: Hector Vargas, Vittorio Zanella
Venue: Proceedings of the 4th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision (2004)

Combining the possibilistic methodology with topological concepts, we present a new clustering criterion for segmenting magnetic resonance images. The clustering criterion generates a covering of the image, thereby permitting the perception of intersections of different brain tissues, which gives the specialist another way of representing data in order to refine his/her perception in said structures. Furthermore, an analysis is carried out regarding the validation of the clusters generated by the algorithm, such as the grade of compactification of the objects in each class, as well as the separability of classes.
Brief paper: Structural analysis for the sensor location problem in fault detection and isolation
Authors: Christian Commault, Jean-Michel Dion, Sameh Yacoub Agha
Venue: Automatica (Journal of IFAC) (2008)

In this paper we tackle the sensor location problem for fault detection and isolation based on structural analysis for linear systems with faults. We deal with this problem when the system under consideration is structured, that is, the entries of the system matrices are either fixed zeros or free parameters. With such structured systems one can associate a graph. A dedicated residual set is designed using a bank of observers for solving the FDI problem. A major tool in this analysis is the notion of input separator in the associated graph, these separators form a lattice structure. The main contribution of this paper is the formulation of necessary and sufficient solvability conditions for the FDI problem in terms of number of additional sensors measuring variables between faults and input separators in the associated graph.
Towards security requirements management for software product lines: A security domain requirements engineering process
Authors: Daniel Mellado, Eduardo Fernández-Medina, Mario Piattini
Venue: Computer Standards Interfaces (2008)

Security and requirements engineering are one of the most important factors of success in the development of a software product line due to the complexity and extensive nature of them, given that a weakness in security can cause problems throughout the products of a product line. The main contribution of this work is that of providing a security standard-based process for software product line development, which is an add-in of activities in the domain engineering. This process deals with security requirements from the early stages of the product line lifecycle in a systematic and intuitive way especially adapted for product line based development. It is based on the use of the latest security requirements techniques, together with the integration of the Common Criteria (ISO/IEC 15408) and the ISO/IEC 17799 controls into the product line lifecycle. Additionally, it deals with security artefacts variability and traceability, providing us with a Security Core Assets Repository. Moreover, it facilitates the conformance to the most relevant security standards with regard to the management of security requirements, such as ISO/IEC 27001 and ISO/IEC 17799. Finally, we will illustrate our proposed process by describing part of a real case study, as a preliminary validation of it.
GlycoBase and autoGU
Authors: Matthew P. Campbell, Louise Royle, Catherine M. Radcliffe, Raymond A. Dwek, Pauline M. Rudd
Venue: Bioinformatics (2008)

Summary: The development of robust high-performance liquid chromatography (HPLC) technologies continues to improve the detailed analysis and sequencing of glycan structures released from glycoproteins. Here, we present a database (GlycoBase) and analytical tool (autoGU) to assist the interpretation and assignment of HPLC-glycan profiles. GlycoBase is a relational database which contains the HPLC elution positions for over 350 2-AB labelled N-glycan structures together with predicted products of exoglycosidase digestions. AutoGU assigns provisional structures to each integrated HPLC peak and, when used in combination with exoglycosidase digestions, progressively assigns each structure automatically based on the footprint data. These tools are potentially very promising and facilitate basic research as well as the quantitative high-throughput analysis of low concentrations of glycans released from glycoproteins. Availability: http://glycobase.ucd.ie Contact: matthew.campbell@nibrt.ie
Semantic Mining for Language Text Analysis
Authors: Natalie Eve Akam, David Al-Dabass
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

Recent work into knowledge-mining algorithms has found that second order models can be used to approximate the inputs to systems by first calculating their time trajectories, and then obtaining the causal parameters of these trajectories. In this paper a new method of text analysis is proposed, and the application of knowledge-mining algorithms to text analysis is investigated. Mathcad is used to model relevant knowledge mining algorithms and test their performance with signals derived from ASCII codes of text excerpts. For the first time, time-varying signals relating to a series of input values have been analysed with knowledge mining algorithms. The Mathcad program which does this has been embedded into a user interface in MS Access to allow ease of text selection by users and automatic calculation of ASCII values for analysis.
Monitoring Sahelian floodplains using Fourier analysis of MODIS time-series data and artificial neural networks
Authors: T. Westra, R. R. De Wulf
Venue: International Journal of Remote Sensing (2007)

Fourier analysis of Moderate Resolution Image Spectrometer (MODIS) time-series data was applied to monitor the flooding extent of the Waza-Logone floodplain, located in the north of Cameroon. Fourier transform (FT) enabled quantification of the temporal distribution of the MIR band and three different indices: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI), and the Enhanced Vegetation Index (EVI). The resulting amplitude, phase, and amplitude variance images for harmonics 0 to 3 were used as inputs for an artificial neural network (ANN) to differentiate between the different land cover/land use classes: flooded land, dry land, and irrigated rice cultivation. Different combinations of input variables were evaluated by calculating the Kappa Index of Agreement (KIA) of the resulting classification maps. The combinations MIR/NDVI and MIR/EVI resulted in the highest KIA values. When the ANN was trained on pixels from different years, a more robust classifier was obtained, which could consistently separate flooded land from dry land for each year.
A multiple criteria decision for trading capacity between two semiconductor fabs
Authors: Muh-Cherng Wu, Wen-Jen Chang
Venue: Expert Systems with Applications: An International Journal (2008)

This paper presents a multiple criteria decision approach for trading weekly tool capacity between two semiconductor fabs. Due to the high-cost characteristics of tools, a semiconductor company with multiple fabs (factories) may weekly trade their tool capacities. That is, a lowly utilized workstation in one fab may sell capacity to its highly utilized counterpart in the other fab. Wu and Chang [Wu, M. C., & Chang, W. J. (2007). A short-term capacity trading method for semiconductor fabs with partnership. Expert Systems with Application, 33(2), 476-483] have proposed a method for making weekly trading decisions between two wafer fabs. Compared with no trading, their method could effectively increase the two fabs' throughput for a longer period such as 8weeks. However, their trading decision-making is based on a single criterion-number of weekly produced operations, which may still leave a space for improving. We therefore proposed a multiple criteria trading decision approach in order to further increase the two fabs' throughput. The three decision criteria are: number of operations, number of layers, and number of wafers. This research developed a method to find an optimal weighting vector for the three criteria. The method firstly used NN+GA (neural network+genetic algorithm) to find an optimal trading decision in each week, and then used DOE+RSM (design of experiment+response surface method) to find an optimal weighting vector for a longer period, say 10weeks. Experiments indicated that the multiple criteria approach indeed outperformed the previous method in terms the fabs' long-term throughput.
Knowledge Discovery from Tumor Respiratory Motion Data
Authors: Huanmei Wu, Qingya Zhao, Li Zhao
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

Image-guided radiation treatment (IGRT) is a recent advancement in the treatment of cancer patients with tumors in the abdomen or lungs. However, the efficacy of radiation treatment in these locations is often degraded by tumor respiratory motion. Therefore, the characterization and prediction of tumor motion are critical for precise cancer radiation treatment. This paper describes an approach for knowledge discovery from respiratory motion according to different motion properties. A hierarchical data model is proposed for tumor motion data representation. Various statistical analysis and correlation discovery over complex tumor respiratory motion data are designed based on a data cube to characterize different tumor motion properties. The outcomes will provide quantitative information for tumor motion prediction and real-time treatment delivery, which results better care for cancer patients.
Topological criterion for selection of quintic Pythagorean-hodograph Hermite interpolants
Authors: Hyeong In Choi, Rida T. Farouki, Song-Hwa Kwon, Hwan Pyo Moon
Venue: Computer Aided Geometric Design (2008)

A topological approach to identifying the ''good'' interpolant among the four distinct solutions to the first-order Hermite interpolation problem for planar quintic Pythagorean-hodograph curves is presented. An existence theorem is proved, together with a complete analysis of uniqueness/non-uniqueness properties. A simple formula for finding the ''good'' solution, without appealing to curve fairness or energy integrals, is also presented.
Strategic Management of Technological Innovation xxxxxxxxxxxxxxxxxxx, 2nd Revised edition
Authors: Melissa Schilling
Venue:  (2007)

Strategic Management of Technological Innovation follows a step-by-step process to explore how to guide a company from its strategic dynamics through formulation to implementation. Numerous high-profile examples reveal ways in which state-of-the-art strategies have been successfully applied to real companies and products from Sony to Segway.
VFAST TCP: An improvement of FAST TCP
Authors: Salem Belhaj, Moncef Tagina
Venue: Proceedings of the Tenth International Conference on Computer Modeling and Simulation (2008)

We describe a delay-based end-to-end congestion control algorithm, called Very FAST TCP (VFAST), which is an extension of FAST TCP. The idea behind this extension is to smoothly estimate the round-trip-time, which eliminates throughput and queue oscillation when round-triptime fluctuates. In this context, we introduce a simulation and an evaluation of the suggested scheme, by comparing our VFAST prototype with FAST in terms of throughput, fairness, stability, RTT and adaptivity to changes in network. The preliminary results are promising.
A Reliability Enhancing Mechanism for a Large Flash Embedded Satellite Storage System
Authors: Soraya Zertal
Venue: Proceedings of the Third International Conference on Systems (2008)

In this paper, we propose an embedded satellite storage architecture based on the MLC NAND FLASH memory chips. We focuse on data reliability and enhance it by adapting the RAID5 mechanism to the Flash technology. This adaptation takes into account both the application and the technology characteristics: the specific access profile determines the striping granularity and the specific Flash technology determines the data placement/management policy. It results an efficient mechanism, simple to implement at the FTL (Flash Translation Layer) level without any use of the garbage collection. Thus, improving reliability using this mechanism leads to improving performance in the particular on-board satellite storage context.
On generalized ln-surfaces in 4-space
Authors: Martin Peternell, Boris Odehnal
Venue: Proceedings of the twenty-first international symposium on Symbolic and algebraic computation (2008)

The present paper investigates a class of two-dimensional rational surfaces φ in R4 whose tangent planes satisfy the following property: For any three-space E in R4 there exists a unique tangent plane T of φ which is parallel to E. The most interesting families of surfaces are constructed explicitly and geometric properties of these surfaces are derived. Quadratically parameterized surfaces in R4 occur as special cases. This construction generalizes the concept of LN-surfaces in R3 to two-dimensional surfaces in R4.
Optimizations of a photoresist coating process for photolithography in wafer manufacture via a radial basis neural network: A case study
Authors: Jie-Ren Shie, Yung-Kuang Yang
Venue: Microelectronic Engineering (2008)

This investigation applied a hybrid method, which combined a trained radial basis network (RBN) [S. Chen, C.F.N. Cowan, P.M. Grant. Orthogonal least squares learning algorithm for radial basis function networks. Neural Networks 2(2) (1991), 302-309] and a sequential quadratic programming (SQP) method [R. Fletcher, Practical Methods of Optimizations, vol. 1, Unconstrained Optimization, and vol. 2, Constrained Optimization, John Wiley and Sons Inc., New York, 1981], to determine an optimal parameter setting for photoresist (PR) coating processes of photolithography in wafer manufacture. Nine experimental runs based on an orthogonal array table were utilized to train the RBN and the SQP method was applied to search for an optimal setting. An orthogonal array table provided an economical and systematic arrangement of experiments to map the relationship between controlled parameters and desired outputs. In this study, a mean thickness and non-uniformity of the thickness of the PR were selected as monitored quality targets for the PR coating process. In addition, the PR temperature, the chamber humidity, the spinning rate, and the dispensation rate were four controlled parameters. The PR temperature and the chamber humidity were found to be the most significant factors in the mean thickness and non-uniformity of the thickness for the PR coating process from the analysis of variance (ANOVA).
A-Brain: a general system for solving data analysis problems
Authors: Mihai Oltean
Venue: Journal of Experimental Theoretical Artificial Intelligence (2007)

An intelligent system should be able to solve a wide range of problems from different domains. In this paper we propose a complex and adaptive system capable of solving various data analysis problems without needing human help for parameter settings. The system, called A-Brain, consists of several interconnected components (a decision-maker, a trainer, and several problem solvers) which provide a base for building complex problem solvers. The parameters of the trainer's algorithm are problem independent. This fact is a requirement for intelligent systems which cannot rely on human intervention while operating. The A-Brain system is used to solve some well-known problems in the field of symbolic regression and classification. Numerical experiments show that the A-Brain system is able to perform very well on the considered test problems.