ppxscal/embedding_network huggingface dataset:
A Parallel Hierarchical Aggregation Algorithm in High Dimensional Data Warehouse
Authors: Kongfa Hu, Jiajia Liu, Ling Chen, Qingli Da
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03 (2007)

OLAP(on-line analytical processing) queries tend to be complex and ad hoc, often requiring computationally expensive operations such as multi-table joins and aggregation. In the high dimensional data warehouse(DW), we full materialized the data cube impossibly. In this paper, we propose a novel aggregation algorithm, PDHEPA(parallel pre-grouping aggregation based on the dimension hierarchical encoding), to vertically partition a high dimensional dataset into a set of disjoint low dimensional datasets called fragment mini- cubes. PDHEPA uses the small dimension hierarchical encoding and their prefix, so that it can drastically reduce the multi-table join operations. As a result, the method we proposed in this paper can greatly reduce the disk I/Os and highly improve the efficiency of OLAP queries.The analytical and experimental results show that the PDHEPA is more efficient than other existed ones.
Safety Assessment in Power Supply Enterprise Based on Rough Set and Support Vector Machine
Authors: Wei Sun, Xing Zhang
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 01 (2007)

Considering safety assessment indexes of power supply enterprise are considerable, an hybrid model based on rough sets (RS) and support vector machine(SVM) is proposed: Rough sets, as a anterior preprocessor of SVM, can find out the kernel factors influencing the safety of power supply enterprise by means of attribute reduction algorithm, and then, using them as the input vectors of SVM, the safety assessment is conducted. Experiment results compared with traditional SVM model show that the training rapidity and accuracy of the RS-SVM model are both evidently improved .
SVG+Ajax+R: a new framework for WebGIS
Authors: Tomokazu Fujino
Venue: Computational Statistics (2007)

This paper first proposes a method of establishing a Web-based system that can visualize statistical data that are accompanied by geographical information and analyze it interactively using dynamic graphics. In terms of the graphics format, our proposed system uses XML-based 2D vector graphics, known as Scalable Vector Graphics (SVG). To install an enhanced interactive function, we adopted a technique of server---client asynchronous communication using JavaScript, called Asynchronous JavaScript and XML (Ajax) and R, which perform statistical analysis on the server side. This enables Web developers to construct a lightweight system including statistical computing rapidly. Furthermore, many users get possible to utilize such data effectively and efficiently anywhere anytime. The latter half of this paper introduces the WebGIS realized by this framework. We then discuss the possibility and advantages of applying this new method to the dynamic graphics proposed previously.
STEP-NC enabled on-line inspection in support of closed-loop machining
Authors: Fiona Zhao, Xun Xu, Shane Xie
Venue: Robotics and Computer-Integrated Manufacturing (2008)

The object-oriented STEP-NC data model provides a seamless and integrated programming interface for on-machine (or also known as on-line or in-line) inspections as well as interoperable manufacturing. This paper proposes a STEP-NC data model for on-line inspections. A framework of STEP-NC enabled closed-loop machining is also presented. The aim is to achieve a fully closed computer-aided design, process planning, machining and inspection chain. A new version of STEP-NC Interpreter has been developed to implement the proposed framework. A case study is included to demonstrate the implementation.
Understanding information related fields: A conceptual framework
Authors: Ping Zhang, Robert I. Benjamin
Venue: Journal of the American Society for Information Science and Technology (2007)

Many scientific fields share common interests for research and education. Yet, very often, these fields do not communicate to each other and are unaware of the work in other fields. Understanding the commonalities and differences among related fields can broaden our understanding of the interested phenomena from various perspectives, better utilize resources, enhance collaboration, and eventually move the related fields forward together. In this article, we present a conceptual framework, namely the Information-Model or I-model, to describe various aspects of information related fields. We consider this a timely effort in light of the evolutions of several information related fields and a set of questions related to the identities of these fields. It is especially timely in defining the newly formed Information Field from a community of twenty some information schools. We posit that the information related fields are built on a number of other fields but with their own unique foci and concerns. That is, core components from other fundamental fields interact and integrate with each other to form dynamic and interesting information related fields that all have to do with information, technology, people, and organization&sol;society. The conceptual framework can have a number of uses. Besides providing a unified view of these related fields, it can be used to examine old case studies, recent research projects, educational programs and curricula concerns, as well as to illustrate the commonalities and differences with the information related fields. &copy; 2007 Wiley Periodicals, Inc.
A unified framework for scene illuminant estimation
Authors: Wei Zhou, Chandra Kambhamettu
Venue: Image and Vision Computing (2008)

Most existing illuminant estimation algorithms work with assumptions of specific source types (e.g. directional light source or point light source). The assumptions bring up two main limitations which significantly restrict their applicabilities: first, the prior knowledge about source types is needed; second, it can not handle complex scenes where multiple source types co-exist. In this paper, we develop a general light source model which is designed to model arbitrary light sources. With the general source model, we are able to estimate multiple illuminants of different types within a single unified framework. We use a plastic sphere to probe both diffuse and specular reflections of a scene. With specular reflections, we estimate geometric parameters of the illuminants by a novel ray tracing and matching algorithm. The diffuse reflections are used to estimate photometric parameters of the illuminants. We also notice that common source types are degenerate cases of the general source model under certain conditions. Therefore, we can approximate light sources with common source types by checking the conditions. The approximations serve as type determinations of light sources, which makes our framework extremely useful for lighting related algorithms which need prior knowledge about light sources. Experiment results on a variety of real images demonstrate the efficiency and accuracy of our algorithm.
Performance Comparison of Contention-Based Channel Access Mechanism of IEEE 802.11 and 802.11e
Authors: Mayank Kanthali, Apurva Gaiwak, P. D. Vyavahare
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

Wireless Local Area Nerworks (WLANs) are increasingly finding applications that include real time traffic like Voice over IP (VoIP). Medium access coordination function for WLANs in IEEE 802.11 basically implements Medium Access Control (MAC) by employing Distributed Coordination Function (DCF). IEEE 802.11 WLANs provide limited support for Quality of Service (QoS). A new standard, namely IEEE 802.11e, defines MAC procedure to support QoS requirements of applications. IEEE 802.11e introduces the Hybrid Coordination Function (HCF), which specifies distributed contention-based access scheme, called as Enhanced Distributed Channel Access (EDCA), to access the shared wireless media [1]. This paper is focused on the performance evaluations of EDCA for various Access Categories (ACs) [1] on mobile ad-hoc and infrastructure based wireless networks. It has been shown through simulation studies that performance of wireless network is improved in IEEE 802.11e, as compared to that in IEEE 802.11, in terms of high average throughout, lower mean delay and reduced probability of packet loss. Index Terms: 802.11, 802.11e, EDCA, QoS, HCF.
Efficient VCO phase macromodel generation considering statistical parametric variations
Authors: Wei Dong, Zhuo Feng, Peng Li
Venue: Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design (2007)

With the growing concern of process variability, parameterized circuit models are becoming increasingly important for circuit design and verification. Although techniques exist to extract compact VCO phase macromodels, a direct parametrization of VCO macromodels over a large set of parametric variations not only results in highly complex models, but also leads to significantly high computational cost. In this paper, an efficient parameterized VCO phase model generation technique is presented to capture the impacts of statistical parametric variations. The model extraction cost of our approach is significantly reduced by exploiting circuit-specific parameter dimension reduction, which effectively reduces the parameter space dimension over which the phase model needs to be extracted. The application of parameter reduction is facilitated by a novel and fast time-domain sampling technique that provides the essential statistical correlation data. Our numerical experiments have shown that the proposed model generation approach is more efficient than brute-force parametric modeling while producing accurate parameterized phase models that can capture large range parametric variations.
Ultrasound Image Enhancement using Dynamic Filtering
Authors: Xiaoying Li, Dong C. Liu
Venue: Proceedings of the Fourth International Conference on Image and Graphics (2007)

This paper presents an adaptive image enhancement method through selected dynamic filtering based on speckle detection for ultrasound images. The main idea is to enhance the tissue structure and also smooth the speckle regions adaptively from pre-defined filters with certain filter characteristics. The criterion of speckle region is defined from a similarity value obtained from histogram matching between the histogram in the processing window and a reference one derived from a speckle area. Big similarity values means speckle pixels needed smoothing from lowpass filtering, and small values correspond to structure pixels which will be enhanced by highpass filters. All these filters can be implemented as dynamic filtering whose index is the similarity value for adaptively smoothing speckle for contrast enhancement or enhancing structure for better edge/boundary detection. Test images show that our new method can enhance tissue structure and also reduce speckle for better image quality.
A formal foundation for XrML
Authors: Joseph Y. Halpern, Vicky Weissman
Venue: Journal of the ACM (JACM) (2008)

XrML is becoming a popular language in industry for writing software licenses. The semantics for XrML is implicitly given by an algorithm that determines if a permission follows from a set of licenses. We focus on a fragment of the language and use it to highlight some problematic aspects of the algorithm. We then correct the problems, introduce formal semantics, and show that our semantics captures the (corrected) algorithm. Next, we consider the complexity of determining if a permission is implied by a set of XrML licenses. We prove that the general problem is undecidable, but it is polynomial-time computable for an expressive fragment of the language. We extend XrML to capture a wider range of licenses by adding negation to the language. Finally, we discuss the key differences between XrML and MPEG-21, an international standard based on XrML.
A Half Face Recognition Scheme
Authors: Shidu Dong, Bo He, Qun Jiang, Huaqiu Wang, Tongyuan Huang
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01 (2007)

A half face recognition scheme is proposed to reduce effect of variable lighting on face recognition. The scheme includes 3 stages. 1) The face images in training set are divided into the left face images and the right half face images firstly, and then they train the left feature extractor and the right feature extractor after illumination compensation respectively. 2) One half of a probe face image is chosen by entropy and its features are extracted by the corresponding feature extractor after illumination compensation. 3) The face is classified by the features of the chosen half face image. Experiment results show that, under variable lighting, the scheme not only gains the higher recognition ratio than the whole face, but also gains the higher speed.
Architecture for dynamic management of QoS policies for heterogeneous Internet environments
Authors: Ilka Miloucheva, David Wagner, Pedro A. Aranda Gutierrez
Venue: Proceedings of the The 2007 International Conference on Next Generation Mobile Applications, Services and Technologies (2007)

InheterogeneousInternetaccessnetworkenvironments (UMTS, WLAN, WIMAX, WLAN DVB-T,DVB-H),thereisachallengeforautomatedconfigurationandadaptationofpoliciesaimedatmanagementofQualityofService(QoS)guaranteesandresourceusage. Thepaperisfocussedona QoSpolicymanagementarchitecture,whichallowsinteraction and adaptation of QoS policies of differentactors(networkoperator,serviceprovideranduser)usingascalablepolicyrepository.Designissuesofsuchanarchitecturearediscussed,emphasisingonpolicyinformationmodelsfordynamicresource,transportandmeasurementadaptationinheterogeneousnetworkenvironments,modularandextendable ontology driven policy repository design, aswellasflexiblemanagementinterfacesforpolicyspecification.
Gaze-communicative behavior of stuffed-toy robot with joint attention and eye contact based on ambient gaze-tracking
Authors: Tomoko Yonezawa, Hirotake Yamazoe, Akira Utsumi, Shinji Abe
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

This paper proposes a gaze-communicative stuffed-toy robot system with joint attention and eye-contact reactions based on ambient gaze-tracking. For free and natural interaction, we adopted our remote gaze-tracking method. Corresponding to the user's gaze, the gaze-reactive stuffed-toy robot is designed to gradually establish 1) joint attention using the direction of the robot's head and 2) eye-contact reactions from several sets of motion. From both subjective evaluations and observations of the user's gaze in the demonstration experiments, we found that i) joint attention draws the user's interest along with the user-guessed interest of the robot, ii) "eye contact" brings the user a favorable feeling for the robot, and iii) this feeling is enhanced when "eye contact" is used in combination with "joint attention." These results support the approach of our embodied gaze-communication model.
Self-correcting queries for xml
Authors: Tali Brodianskiy, Sara Cohen
Venue: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (2007)

It has been observed that queries over XML data sources are often unsatisfiable. Unsatisfiability may stem from several different sources, e.g., the user may be insufficiently familiar with the labels appearing the documents, or may not be intimately aware of the hierarchical structure of the documents. This difficulty may be compounded by the fact that errors in query formulation lead to an empty answer, and not to some sort of compilation error. To deal with query and document mismatches, previous research has considered returning answers that maximally satisfy (in some sense) the query, instead of only returning strictly satisfying answers. However, this breaks the golden database rule that only strictly satisfying answers are returned when querying. Indeed, the relationship between the query and answers is no longer clear, when unsatisfying answers are returned. To revive the golden database rule, this paper proposes a framework for deriving self-correcting queries over XML. This framework generates similar satisfiable queries, when the user query is unsatisfiable. The user can then choose a satisfiable query of interest, and receive exactly satisfying answers to this query.
Outage Performance of OSTBC in MIMO Channels with Shadowing
Authors: Liang Yang
Venue: Wireless Personal Communications: An International Journal (2007)

In this letter, taking into account realistic propagation environments in the presence of log- normal shadowing, we analyze the outage performance of orthogonal space-time block coding (OSTBC) for an arbitrary finite number of transmit and receive antennas. An approximate expression for the outage probability of OSTBC over Rayleigh-fading multiple-input multiple-output (MIMO) channels with shadowing is presented. Finally we give some numerical results to verify our analysis.
Designing audio and tactile crossmodal icons for mobile devices
Authors: Eve Hoggan, Stephen Brewster
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

This paper reports an experiment into the design of crossmodal icons which can provide an alternative form of output for mobile devices using audio and tactile modalities to communicate information. A complete set of crossmodal icons was created by encoding three dimensions of information in three crossmodal auditory/tactile parameters. Earcons were used for the audio and Tactons for the tactile crossmodal icons. The experiment investigated absolute identification of audio and tactile crossmodal icons when a user is trained in one modality and tested in the other (and given no training in the other modality) to see if knowledge could be transferred between modalities. We also compared performance when users were static and mobile to see any effects that mobility might have on recognition of the cues. The results showed that if participants were trained in sound with Earcons and then tested with the same messages presented via Tactons they could recognize 85% of messages when stationary and 76% when mobile. When trained with Tactons and tested with Earcons participants could accurately recognize 76.5% of messages when stationary and 71% of messages when mobile. These results suggest that participants can recognize and understand a message in a different modality very effectively. These results will aid designers of mobile displays in creating effective crossmodal cues which require minimal training for users and can provide alternative presentation modalities through which information may be presented if the context requires.
Communications Support for Disaster Recovery Operations using Hybrid Mobile Ad-Hoc Networks
Authors: Weiquan Lu, Winston K. G. Seah, Edwin W. C. Peh, Yu Ge
Venue: Proceedings of the 32nd IEEE Conference on Local Computer Networks (2007)

During times of calamity, such as an earthquake or tsunami, rescue and recovery efforts are usually hampered by communications failure as the incumbent communications infrastructure has most likely been damaged or destroyed during the disaster. An ad-hoc communications infrastructure, with support for multimedia traffic such as Voice over IP and videostreaming, must be quickly put in place to support the command, control and communication needs of the rescue and recovery operations. Such applications require relatively fast and robust communications links, and broadband wireless technologies appear to be a viable solution. This paper examines two hierarchical network solutions which allow the delivery of such mission-critical multimedia data between rescue teams and their headquarters over extremely long distances using a combination of wireless network technologies (namely, WiFi, WiMax and GEO Satellite) and multimedia software applications (in particular, Voice-over-IP) to meet the requirements of disaster rescue communication scenarios. The proposed system has been validated experimentally in the field as well as using simulations to demonstrate the scalability of the design.
Evaluating the Usefulness and Ease of Use of a Groupware Tool for the Software Architecture Evaluation Process
Authors: Muhammad Ali Babar, Dietmar Winkler, Stefan Biffl
Venue: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement (2007)

We have developed a framework for groupware tool support for the software architecture evaluation process in the context of global software development. We have empirically assessed the effectiveness of the groupwaresupported software architecture evaluation process in a set of controlled experiments. While we found that groupware-supported distributed meetings can be very effective, we saw the need to investigate users' acceptance of the tool used in these empirical studies. In this paper we report on the "perceived usefulness" and "ease of use" of the groupware tool based on the adapted Davis' Technology Acceptance Model (TAM), a widely used general-purpose instrument for measuring users' attitude towards a particular technology. Main results from analyzing the TAM data are: a majority of the participants found the tool quite useful and easy to use for supporting collaborative tasks like architecture evaluation; a majority of the respondents was also very positive about the regular use of the tool for collaborative tasks in the future. However, there was considerably less support for preferring a distributed tool-based meeting to a face-to-face meeting.
A Trust Based Methodology for Web Service Selection
Authors: Stefania Galizia, Alessio Gugliotta, John Domingue
Venue: Proceedings of the International Conference on Semantic Computing (2007)

In this paper, we propose a methodology for addressing trust in Semantic Web Services (SWS) - based applications. The aim is to enhance the capability-driven selection provided by current SWS frameworks with the introduction of trust-based selection criteria. We present an ontology - Web Services Trust Ontology (WSTO) -- that models the context of a trust-based interaction and enables the participants to describe semantically their trust requirements and guarantees. WSTO makes use of WSMO as reference ontology for representing Web Services and embodies the problem of finding the most "trusted" Web service as a classification problem. To test our methodology, we implemented a specific module within IRS-III -- a WSMO-based SWS broker -- and deployed a prototype application based on a use case scenario.