ppxscal/embedding_network huggingface dataset:
Dynamic anonymization: accurate statistical analysis with privacy preservation
Authors: Xiaokui Xiao, Yufei Tao
Venue: Proceedings of the 2008 ACM SIGMOD international conference on Management of data (2008)

A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can (i) accurately answer an infinite number of counting queries, and (ii) effectively protect privacy against an adversary that may have acquired all the previous query results. The core of our solutions is a novel technique called dynamic anonymization. Specifically, given a query, we on the fly compute a tailor-made anonymized version of the microdata, which maximizes the precision of the query result. Privacy preservation is achieved by ensuring that the combination of all the versions deployed to process the past queries does not allow accurate inference of sensitive information. Extensive experiments with real data confirm that our technique enables highly effective data analysis, while offering strong privacy guarantees.
Using Hybrid Algorithm for Automatic Recommendation Service
Authors: Yanwen Wu, Zhen Huang, Zhiqiang Gong
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

A Hybrid algorithm based on decision tree and BP network is presented in the paper, which is applied to Automatic Recommendation service. We apply decision tree to mine the behavior pattern of initial learning capability of students as well as get learning state of users based on BP neural network to. Then the personalized study pattern will be formed according to the status of students. Finally, for users which course will be studied is shown automatically.
Fabrication of complex 3D structures using Step and Flash Imprint Lithography (S-FIL)
Authors: J. Kettle, R. T. Hoyle, S. Dimov, R. M. Perks
Venue: Microelectronic Engineering (2008)

In this paper, the use of Focused Ion Beam (FIB) milling as an alternative technology to electron-beam lithography in production of complex 3-D-structures such as ''Motheye'' lenses for Step and Flash Imprint Lithography (S-FIL) templates is discussed. Alterations introduced to conventional template fabrication techniques and the advantages and disadvantages of the proposed template fabrication method over conventional routes are discussed. Comparing the template and replication, we show that the surface topographies are almost identical, and thus FIB milled structures can be consistently replicated employing the S-FIL technology.
An experimental group for researching and developing software
Authors: Ghassan Alkadi, Theresa Beaubouef
Venue: Journal of Computing Sciences in Colleges (2008)

This paper proposes the creation of a Software Engineering Group tasked with the leadership and supervision of important duties that have a propensity to be unnoticed or else inadequately communicated to students. It discusses the current issues facing faculty and students involved in software engineering projects and outlines plans for establishing the group, defines its responsibilities, and proposes ways to assess its effectiveness. It is thought that this group will provide vast knowledge and expertise in designing and developing code for small, medium, large, and complex software systems, and enhance technological, scientific, and managerial facets of the software engineering process.
Oases: From samarkand to chang'an to... now
Authors: Dominique Richard
Venue: Organised Sound (2008)

With the development of modern high-speed communication our sense of local and global are blurred to the point that these two topological extremes are often conflated as ‘glocal’. This paper examines the significance of this change and assesses its effects on the productivity and creativity of electroacoustic musicians. More profoundly, it also considers whether this shift in social geography had any bearing on the constitution of an explicit electroacoustic community. To specifically carry out this analysis we consider how an understanding of the system of social relations as a non-random network changes our perception of proximity and distance. We then derive a typology for the contemporary critiques of new technologies and highlight the opportunities it offers to interpret social relations anew. This analysis helps firm up the notion of virtuality that we use to explore our understanding of electroacoustic musical creation with respect to the benefits it can derive from a ‘glocal’ environment. It also establishes the premise of a collective subject emerging from ‘glocal’ communications that may serve as a seed to a renewed electroacoustic community.
Critical reflection in a digital media artwork. playas: homeland mirage
Authors: Carol Lafayette, Andruid Kerne
Venue:  (2007)

The introduction of digital media into the working practice of artists has produced challenges previously unknown to the field of art. This inquiry follows an atypical model of artist-driven research derived from disciplines such as social science and education. Here, an artwork functions as a model that is self-reflective, integrating methodologies in a form that benefits art and science. Using Naturalistic Inquiry, including semi-structured interviews of fifteen participants, the work illustrates a process of creation, analysis and evaluation that places the values of the artist on equal footing with the needs of science.Recently, artists have begun using video game engines as a tool to produce 3D navigable spaces. Using the hybrid video game/installation Playas: Homeland Mirage as a case study, this research examines the impact of technology on the artwork and identifies a number of key issues related to the function of critical reflection in this environment. Rules-of-play were a fundamental pre-requisite to the stimulation of critically reflective experience. The human interface with software and hardware was also a primary factor in reflective experience. Based on participant evaluation and observation, the interface was altered in response to its effect on critical reflection, illustrating how choices in this area impact aesthetic experience. Those with experience in visual art were more likely to engage the work in a critically reflective manner than seasoned video game players who tended to be more interested in scoring and winning. These findings and others inform our understanding of the stimulation of critical reflection in immersive environments and show how we can sensitively integrate technology with meaningful evaluative methods. By repurposing a video game in this manner, we learn about the nature of the video game and the nature of art. This research enables artists to gain a better understanding of the medium to more fully integrate technology within a meaningful practice. Conversely, other fields will benefit from a better understanding of the stimulation of meaning in immersive spaces and gain a comprehensive view of a work that strives to contribute to our culture on a deeper level than as simple entertainment. Ultimately, more fully understanding critical reflection in virtual environments will enable us to create enriched experiences that transcend space to create &ldquo;real&rdquo; or &ldquo;virtual&rdquo; place.
A sequential multi-category classifier using radial basis function networks
Authors: S. Suresh, N. Sundararajan, P. Saratchandran
Venue: Neurocomputing (2008)

This paper presents a new sequential multi-category classifier using radial basis function (SMC-RBF) network for real-world classification problems. The classification algorithm processes the training data one by one and builds the RBF network starting with zero hidden neuron. The growth criterion uses the misclassification error, the approximation error to the true decision boundary and a distance measure between the current sample and the nearest neuron belonging to the same class. SMC-RBF uses the hinge loss function (instead of the mean square loss function) for a more accurate estimate of the posterior probability. For network parameter updates, a decoupled extended Kalman filter is used to reduce the computational overhead. Performance of the proposed algorithm is evaluated using three benchmark problems, viz., image segmentation, vehicle and glass from the UCI machine learning repository. In addition, performance comparison has also been done on two real-world problems in the areas of remote sensing and bio-informatics. The performance of the proposed SMC-RBF classifier is also compared with the other RBF sequential learning algorithms like MRAN, GAP-RBFN, OS-ELM and the well-known batch classification algorithm SVM. The results indicate that SMC-RBF produces a higher classification accuracy with a more compact network. Also, the study indicates that using a function approximation algorithm for classification problems may not work well when the classes are not well separated and the training data is not uniformly distributed among the classes.
Effects of Improper Spectral Delay on Speech Recognition with Cochlear Implants: A Simulation Study
Authors: Tamás Harczos, András Kátai, Frank Klefenz, Izet Baljic
Venue: Proceedings of the 2008 International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies (2008)

Actual pulse rate in common cochlear implant systems is an essential parameter in terms of recognition performance and preference of patients. Finding the ideal pulse rate seems to be an evergreen topic independently of the used encoding strategy and architecture of the electrode array. At the same time, implantees react sensitively to rate changes, which makes the design of such trials difficult. We give a simplified model of spectral delays caused by a given total pulse rate, and compare these delays to natural cochlear delays. The comparison is carried out by feeding a hidden Markov model based speech recognizer with an adequately preprocessed speech corpus. Simulation outcomes give an insight why both too low and too high total pulse rates manifest in poor performance, and give a prediction on the recognition capabilities of each phone at various pulse rates. The experiments included in this study emphasize the importance of biotic cochlear delays and urge their application in future cochlear implant speech processing strategies.
Graph based test case generation for TLM functional verification
Authors: Mohammad Reza Kakoee, M. H. Neishaburi, Siamak Mohammadi
Venue: Microprocessors Microsystems (2008)

Describing complex systems at a high level of abstraction provides designers with the possibility of exploring multiple SoC design architectures before committing to the low level-details of a complete implementation. Transaction level modeling understandably expedites the design simulation and verification. During the verification process, generating good test cases plays a significant role in determining the quality of the design. Inadequate test cases may cause bugs to remain. In this paper, first, in order to generate test cases for a TL model, we present a Control-Transaction Graph (CTG) which describes the behavior of a TL Model. A Control Graph is a control flow graph of a module in the design and transactions represent the interactions such as synchronization between modules. Second, we define dependent paths (DePaths) on the CTG as test cases for a transaction level model, which can find communication errors in simulation. We also give coverage metrics for a TL model to measure the quality of the generated test cases. Finally, we apply our method on the SystemC model of AMBA-AHB bus and JPEG encoder and generate test cases based on the CTG of these models.
Embedding and similarity search for point sets under translation
Authors: Minkyoung Cho, David M. Mount
Venue: Proceedings of the twenty-fourth annual symposium on Computational geometry (2008)

Pattern matching in point sets is a well studied problem with numerous applications. We assume that the point sets may contain outliers (missing or spurious points) and are subject to an unknown translation. We define the distance between any two point sets to be the minimum size of their symmetric difference over all translations of one set relative to the other. We consider the problem in the context of similarity search. We assume that a large database of point sets is to be preprocessed so that given any query point set, the closest matches in the database can be computed efficiently. Our approach is based on showing that there is a randomized algorithm that computes a translation-invariant embedding of any point set of size at most n into the L_1 metric, so that with high probability, distances are subject to a distortion that is O(log2 n).
Typed Abstract State Machines for data-intensive applications
Authors: Klaus-Dieter Schewe, Jane Zhao
Venue: Knowledge and Information Systems (2008)

This paper focuses on extensions of Abstract State Machines (ASMs) for the benefit of a refinement calculus in the area of data-intensive applications, in particular data warehouses and on-line analytical processing. The extensions lead to a typed version of ASMs and a more specific notion of strong data refinement, which incorporates the preservation of information content by means of schema dominance. Each typed ASM can be effectively translated into an equivalent ordinary one. Providing typed ASMs helps to exploit the existing logical formalisms used in data-intensive applications to define a ground model. Furthermore, strong data refinement helps to set up a refinement-based development method that uses provably correct standard refinement rules.
Introducing Tool Support for Managing Architectural Knowledge: An Experience Report
Authors: Muhammad Ali Babar, Andrew Northway, Ian Gorton, Paul Heuer, Thong Nguyen
Venue: Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (2008)

Management of software architecture knowledge is vital for improving an organisation’s architectural capabilities. Despite the recognition of the importance of capturing and reusing software architecture knowledge, there is currently no suitable support mechanism available. To address this issue, we have developed a conceptual framework for managing architecture design knowledge. A web-based knowledge management tool, Process-based Architecture Knowledge Management Environment (PAKME), has been developed to support that framework. PAKME is being trialled to help systematise the architecture knowledge management and evaluation process of an industrial collaborator. This paper reports the objectives, logistics and initial findings of this project, Specifically we have deployed and used PAKME in an Australian Defence acquisition environment for evaluating architecture of a aircraft system.
Potential of SSMIS to derive cloud liquid water over sea ice
Authors: H. Laue, S. Andersen, C. Melsheimer, G. Heygster
Venue: International Journal of Remote Sensing (2007)

Passive microwave measurements from satellite sensors like SSM/I deliver valuable information on sea ice and atmospheric conditions in polar regions. In late 2003, the successor of SSM/I, the SSMIS on board the DMSP satellite F16, was launched. It combines the channels of SSM/I, SSM/T and SSM/T2 into a single instrument with a constant incidence angle on the surface of 53.3°. At the time of this writing, SSMIS data are still to be released to the broader scientific user community. However, radiative transfer modelling and comparisons to algorithms for similar sensors like SSM/I can give an idea of how the retrieval of atmospheric parameters become more accurate or be extended to additional surface types once the data are available. This letter discusses the possibilities of retrieving cloud liquid water with this new sensor based on the results of radiative transfer modelling for typical Arctic atmospheres. Moreover, the increase of accuracy for an existing cloud liquid water algorithm, the R-factor method, with additional water vapour information is shown.
ν-support vector machine as conditional value-at-risk minimization
Authors: Akiko Takeda, Masashi Sugiyama
Venue: Proceedings of the 25th international conference on Machine learning (2008)

The &nu;-support vector classification (&nu;-SVC) algorithm was shown to work well and provide intuitive interpretations, e.g., the parameter &nu; roughly specifies the fraction of support vectors. Although &nu; corresponds to a fraction, it cannot take the entire range between 0 and 1 in its original form. This problem was settled by a non-convex extension of &nu;-SVC and the extended method was experimentally shown to generalize better than original &nu;-SVC. However, its good generalization performance and convergence properties of the optimization algorithm have not been studied yet. In this paper, we provide new theoretical insights into these issues and propose a novel &nu;-SVC algorithm that has guaranteed generalization performance and convergence properties.
Making a Difference in the Software Century
Authors: Barry Boehm
Venue: Computer (2008)

In the 21st century, software engineers face the often formidable challenges of simultaneously dealing with rapid change, uncertainty and emergence, dependability, diversity, and interdependence, but they also have opportunities to make significant contributions that will make a difference for the better.
Loss calculation method for distribution network based on measured data
Authors: Wang Yu, Jiang Chuanwen, Wang Chengmin, Song Yufei
Venue: Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation (2005)

To calculate theory line losses has significant sense for the distribution network programming and operation. The broad application of Terminal Unit gave loss calculation for distribution network a convenience with distribution automation improvement due to richer and richer data collection. The loop current method and current-voltage method are proposed to calculate theory line losses in this paper. The double methods used enough measured data and depended not upon topology analysis or equipment parameters, are unearthly method to calculate Theory line losses for distribution network.
Value creation in information-based industries through convergence: A study of U.S. mergers and acquisitions between 1993 and 2005
Authors: Louis Rhéaume, Harjeet S. Bhabra
Venue: Information and Management (2008)

According to the International Engineering Consortium (IEC), the realignment and consolidations currently underway in information-based industries is likely to result in the five traditional information industries (photography, publishing, computing, telecommunications and entertainment) converging into three new sectors: information content providers, information highways, and information appliances. We investigated the impact of mergers and acquisitions on value creation both within and across these sectors by estimating the stock market's response to acquiring firms around the announcement date of their merger. Using data on 2421 mergers and acquisitions between 1993 and 2005 and employing the well-established event study methodology, we found that most acquirers received a target within the same sector or industry and that the related acquisition strategies brought synergistic gains resulting in positive wealth change for the acquiring firm's shareholders. The few firms that pursued an unrelated diversification strategy that lowered operating risk experienced no significant change in shareholder wealth. Our results contrasted with the zero or negative wealth change found for acquiring firms in general (as reported in the finance literature) but were consistent with the positive wealth change for acquirers in the telecommunications industry found in recent studies.
Aspects of dynamic spectrum management level 3
Authors: Charles Storry, Miroslav Živković, Jan Verlinden, Adriaan J. de Lind van Wijngaarden
Venue: Bell Labs Technical Journal (2008)

Digital subscriber line (DSL) networks are currently enhanced to provide higher transmission rates and reliability in order to support emerging triple-play services, i.e., voice, video, and data. This is typically achieved by installing digital subscriber line access multiplexers (DSLAMs) in street cabinets to signi?cantly reduce the loop length to the subscribers. In addition, such DSLAMs typically employ DSL technologies that can use a wider spectrum for data transmission and thus effectively provide much higher transmission rates for short distances. The DSL performance is typically limited by crosstalk from the other lines in the bundle. Crosstalk can be mitigated by using spectrum coordination or signal coordination techniques, commonly referred to as dynamic spectrum management (DSM). This paper focuses on the concept and potential gains of signal coordination, known as DSM level 3, as well as the standardization efforts and considerations for future development and deployment of DSM level 3. &copy;2008 Alcatel-Lucent
Detection of Changes in Transitive Associations by Shortest-path Analysis of Protein Interaction Networks Integrated with Gene Expression Profiles
Authors: Hong Qin, Li Yang
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

Shortest-path (SP) clustering can detect transitive associations in co-expression networks. In this work, we show that it can detect changes of transitive associations caused by perturbations in a protein interaction network (PIN). Specifically, we compare SPs between genes under perturbation and in a reference state. The PIN under perturbation can be obtained through integration with gene expression profiles, using either marginal or partial correlations. The default reference state of network is the unweighted PIN. The changes in transitive associations caused by perturbation can be detected and ranked by comparing the SP traversal patterns between the weighted and unweighted networks. We have applied this approach to a gene expression time series data set generated by a glucose pulseperturbation in Saccharomyces cerevisiae. Using a list of genes involved in the fermentation, TCA, and glyoxylate pathways, we demonstrate that transitive associations withsignificant ranks are consistent with known responses to glucose perturbations. This network based analysis does not require a cutoff value for correlation coefficient and provides an alternative approach to clustering analysis of gene expression data. In comparison to other network analysis approaches, this approach is unique in its ability to detect perturbation changes through a reference networkstate. Key software is implemented in an open-source package, available at http://bioinformatics.org/bna/.
Automatic extraction of morphological information from botanical collections
Authors: Xiaoya Tang
Venue: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries (2008)

Specific morphological information is often used by users to search botanical collections. However, traditional systems based on statistical models are often not effective for such search. This study automatically extracts morphological information from botanical collections using an adapted and enhanced information extraction system. Experimental results indicate this approach is promising. This study also indicates that this approach is generalizable to similar collections in the same domain and even to different domains with adaptation of the pattern recognition and knowledge base in the new domain.