ppxscal/embedding_network huggingface dataset:
The Synthesizing Write-Back Caches Based on Metamorphic Methodologies
Authors: Qi Jun-qiao, Cui Hanlong
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

If there is no the evaluation for I/O automata, the construction of red-black trees might never have occurred, it would be agreed by many hackers worldwide. In order to establish the red-black trees, significant research into scatter/gather I/O was established, which we confirmed the refinement of Boolean logic. Through an ambimorphic tool for visualizing IPv4 (JUG) was described, a novel method for the investigation of B-trees (JUG) was proposed, which we used to verify that superblocks can be made omniscient, Bayesian, and pseudorandom. Lastly, we showed that virtual machines can be made authenticated, collaborative, and distributed.
Making automation work
Authors: Samuel Greengard
Venue: Communications of the ACM (2009)

Today's automated systems provide enormous safety and convenience. However, when glitches, problems, or breakdowns occur, the results can be catastrophic.
A New Time-domain Detection Approach with Blind Separation Based on Neural Network
Authors: Guan Nan Li, Feng Zheng, Li Yang, Ning Zhang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

In this paper a new technique is proposed for time-domain detection in energy detection. The proposed scheme is based on a independent-component analysis (ICA): blind separation of unknown source signals. This method not only improves the nicety of time-domain detection for narrow band signal and the sinusoidal signal but also reduces the power of the whole detection system.
A Probabilistic Approach for Constrained Clustering with Topological Map
Authors: Khalid Benabdeslem, Jihene Snoussi
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

This paper describes a new topological map dedicated to clustering under probabilistic constraints. In general, traditional clustering is used in an unsupervised manner. However, in some cases, background information about the problem domain is available or imposed in the form of constraints in addition to data instances. In this context, we modify the popular GTM algorithm to take these "soft" constraints into account during the construction of the topology. We present experiments on synthetic known databases with artificial generated constraints for comparison with both GTM and another constrained clustering methods.
Definition of Valid Proteomic Biomarkers: A Bayesian Solution
Authors: Keith Harris, Mark Girolami, Harald Mischak
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

Clinical proteomics is suffering from high hopes generated by reports on apparent biomarkers, most of which could not be later substantiated via validation. This has brought into focus the need for improved methods of finding a panel of clearly defined biomarkers. To examine this problem, urinary proteome data was collected from healthy adult males and females, and analysed to find biomarkers that differentiated between genders. We believe that models that incorporate sparsity in terms of variables are desirable for biomarker selection, as proteomics data typically contains a huge number of variables (peptides) and few samples making the selection process potentially unstable. This suggests the application of a two-level hierarchical Bayesian probit regression model for variable selection which assumes a prior that favours sparseness. The classification performance of this method is shown to improve that of the Probabilistic K-Nearest Neighbour model.
Utilizing the Structure and Content Information for XML Document Clustering
Authors: Tien Tran, Sangeetha Kutty, Richi Nayak
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

This paper reports on the experiments and results of a clustering approach used in the INEX 2008 document mining challenge. The clustering approach utilizes both the structure and content information of the Wikipedia XML document collection. A latent semantic kernel (LSK) is used to measure the semantic similarity between XML documents based on their content features. The construction of a latent semantic kernel involves the computing of singular vector decomposition (SVD). On a large feature space matrix, the computation of SVD is very expensive in terms of time and memory requirements. Thus in this clustering approach, the dimension of the document space of a term-document matrix is reduced before performing SVD. The document space reduction is based on the common structural information of the Wikipedia XML document collection. The proposed clustering approach has shown to be effective on the Wikipedia collection in the INEX 2008 document mining challenge.
Improving the recommendation of mobile services by interpreting the user's icon arrangement
Authors: Matthias Böhmer, Gernot Bauer
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such systems. In this paper, we present work in progress on a new approach for improving the personalization of recommender systems for pervasive services. Mobile utilization is extended from services inherent in devices to pervasive services. We describe a new concept for collaborative and content-based filtering based on the users' service rankings given by arrangement of menu icons and discuss different models for interaction with a varying icon menu.
Publish-subscribe services for urgent and emergency response
Authors: Joann J. Ordille, Patrick Tendick, Qian Yang
Venue: Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE (2009)

In urgent and emergency response situations, publish-subscribe services need to go beyond information dissemination to facilitate response collection, and even collaboration, among the recipients. We introduce flexible delivery, role-based subscription guidance, and historical event matching to address the requirements of urgent response applications. Flexible delivery allows publishers to choose the most appropriate communication technique for the urgent situation. Role-based guidance provides an interface for subscribing to events from the user's perspective. Historical event matching allows subscribers to join ongoing collaborations for events that occurred in the past. Together theses techniques allow the creation and support of ad hoc communities of interest to address urgent situations. We report our experience with these techniques during 3 years of production use for escalating product repair issues for our company. Forum provides the first production use cases that require historical matching of persistent events in publish-subscribe services.
Runner sizing in multiple cavity injection mould by non-dominated sorting genetic algorithm
Authors: M. Zhai, Y. C. Lam, C. K. Au
Venue: Engineering with Computers (2009)

Runner system is important in the plastic injection moulding as it affects the part quality and the material costs. The layout of the runners for a multiple non-identical cavity mould is geometrically imbalance. Even for a multiple identical cavity mould, the layout can be imbalance due to various reasons. This paper presents an approach to balance the flow by adjusting the runner sizes. Runner size determination is a multiobjective optimisation problem. The non-dominated sorting genetic algorithm is adopted for determining the runner sizes. Multiple objective functions including runner balancing, part quality in terms of warpage and runner volume are incorporated into the algorithm. The moulding conditions affecting the mould cavity filling are also determined due to their sensitivity to runner sizes. This runner sizing approach is suitable for the geometric imbalance mouldings and family mouldings.
Enabling System of Systems Analysis of Critical Infrastructure Behaviors
Authors: William J. Tolone, E. Wray Johnson, Seok-Won Lee, Wei-Ning Xiang, Lydia Marsh, Cody Yeager, Josh Blackwell
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

Critical infrastructures are highly complex collections of people, processes, technologies, and information; they are also highly interdependent where disruptions to one infrastructure commonly cascade in scope and escalate in impact across other infrastructures. While it is unlikely that disruptions can be prevented with certainty, an effective practice of critical infrastructure analysis can reduce their frequency and/or lessen their impact. We contend that proper critical infrastructure analysis necessitates a system of systems approach. In this paper, we identify requirements for integrated modeling and simulation of critical infrastructures. We also present our integrated modeling and simulation framework based on a service-oriented architecture that enables system of systems analysis of such infrastructures.
The Need for Multidisciplinary Approach in the Treatment of Eating Behaviour Disorders of the Young Population
Authors: Celina Stafie, Maria Manuela Apostol
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

Eating behavior disorders represent deviations from the normal eating quantity and rhythm of an individual, which lead to hydro-electrolytic disorders, metabolic illnesses, psychic disorders or even exitus, as it is the case of anorexia nervosa, unless measures are taken in view of a prompt correction of eating disorders. Eating behavior disorders (EBD) are represented by anorexia nervosa and bulimia. The former may lead to exitus within several months if the food privation is non-selective and includes vitamin drinks (juices) – in this case, family has a decisive role in timely noticing and intervening for hospitalization, providing specialized psycho-emotional assistance; bulimia generates serious hydro-electrolytic disorders and severe devitaminization, with possible occurrence of metabolic illnesses, depressive psychosis and even of suicide. We should underline the fact that both EBD illnesses are triggered by a distress, considered to belong to the “mourning period”: parents’ divorce, separation from a lover, death of a family member. The study is a prospective, non-randomized, open one. The DSM-IV questionnaire proposes the following research criteria: more than two recurrent episodes of eating frenzy (bulimic crises) per week, during a six-month period. The cognitive-behavioral evaluation has three stages: • Behavioral restructuring • Cognitive restructuring• Organizing the patients in stress-management and self-esteem groups.
The Modified Clonal Selection Algorithm Applied to the Remote Sensing Image Information Extracting
Authors: Ling Cheng-xing, Zhang Huai-qing, Lin-Hui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Clonal Selection Algorithm is one of the important artificial intelligence algorithms, which used as a powerful information processing and problem-solving paradigm in both the scientific and engineering fields. However, few studies concern application of CLONALG method in information extracting of satellite image. In this paper, we suggest modified Clonal Selection Algorithm (M-CLONALG) improved by niche technology’s sharing function and memory calculator technique applying to remote sensing (RS) image information extracting. In order to testify the correctness that M-CLONALG improves the stability of searching results, accuracy of the global optimization, we compare with Maximum Likelihood method, Minimum Distance method and normal CLONALG method . Experimental results confirm that M-CLONALG has self-organizing, self-learning ability, and no limitation to the distribution of training samples from the global data, with complete convergence, can quickly search the best center of classification clustering at high accuracy. Therefore, our method M-CLONALG is superior to other three algorithms in remote sensing image information extracting, and its overall accuracy and Kappa statistic reach 91.7% and 0.89 respectively.
User Evaluation of Age-Centred Web Design Guidelines
Authors: Panayiotis Zaphiris, Ulrike Pfeil, Dorian Xhixho
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

We report an evaluation of a set of age-centred web design guidelines (SilverWeb guidelines) with older web users. We invited 24 older web users and used a cooperative evaluation to validate the guidelines and collect any additional problems. As a result of the experiment, 36 out of the original 37 guidelines were accepted, 1 guideline was disagreed with, and 5 new issues that were not covered by the guidelines were identified by users. Our findings show that input from users is a valuable contribution to the development process of web design guidelines and is essential in order to ensure a user-centred design approach.
Forensic Tracking Watermarking against In-theater Piracy
Authors: Min-Jeong Lee, Kyung-Su Kim, Heung-Kyu Lee
Venue: Information Hiding: 11th International Workshop, IH 2009, Darmstadt, Germany, June 8-10, 2009, Revised Selected Papers (2009)

Many illegal copies of digital movies by camcorder capture are found on the Internet or on the black market before their official release. Due to the angle of the camcorder relative to the screen, the copied movies are captured with perspective distortion. In this paper, we present a watermarking scheme for tracking the pirate using local auto-correlation function (LACF) to estimate geometric distortion. The goals of watermarking are to find the suspected position of the camcorder in the theater and to extract the embedded forensic marking data which specifies theater information and time stamp. Therefore, our watermarking system provides conclusive evidence to take the pirate to the court. Experimental results demonstrate robustness of the LACF and accuracy of the proposed modeling.
Opportunistic Adaptation Knowledge Discovery
Authors: Fadi Badra, Amélie Cordier, Jean Lieber
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Adaptation has long been considered as the Achilles' heel of case-based reasoning since it requires some domain-specific knowledge that is difficult to acquire. In this paper, two strategies are combined in order to reduce the knowledge engineering cost induced by the adaptation knowledge (AK) acquisition task: AK is learned from the case base by the means of knowledge discovery techniques, and the AK acquisition sessions are opportunistically triggered, i.e., at problem-solving time.
The Application and Realization of Map Search Engine in WEBGIS
Authors: Luo XianGang, Luo Jin, Peng Jing, Wang XiaoPing
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

With the development of internet, especially the widespread of network electronic map, the spatial information on internet is increasing amazingly. Then how to search the wanted information from the massive spatial information fast and accurately is needed to resolve. At this background, spatial search engine based on internet grows up quickly. At the same time, how to display map data in client by the map search engine is important in the research. In this paper, I will mainly introduce the current condition and key techniques of map search engine and design the system structure based on it. In addition, I will realize the work flow and give the prototype of map search engine in WEBGIS application.
Error control in wireless sensor networks: a cross layer analysis
Authors: Mehmet C. Vuran, Ian F. Akyildiz
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

Error control is of significant importance for Wireless Sensor Networks (WSNs) because of their severe energy constraints and the low power communication requirements. In this paper, a cross-layer methodology for the analysis of error control schemes in WSNs is presented such that the effects of multi-hop routing and the broadcast nature of the wireless channel are investigated. More specifically, the cross-layer effects of routing, medium access, and physical layers are considered. This analysis enables a comprehensive comparison of forward error correction (FEC) codes, automatic repeat request (ARQ), and hybrid ARQ schemes in WSNs. The validation results show that the developed framework closely follows simulation results. Hybrid ARQ and FEC schemes improve the error resiliency of communication compared to ARQ. In a multi-hop network, this improvement can be exploited by constructing longer hops (hop length extension), which can be achieved through channel-aware routing protocols, or by reducing the transmit power (transmit power control). The results of our analysis reveal that for hybrid ARQ schemes and certain FEC codes, the hop length extension decreases both the energy consumption and the end-to-end latency subject to a target packet error rate (PER) compared to ARQ. This decrease in end-to-end latency is crucial for delay sensitive, real-time applications, where both hybrid ARQ and FEC codes are strong candidates. We also show that the advantages of FEC codes are even more pronounced as the network density increases. On the other hand, transmit power control results in significant savings in energy consumption at the cost of increased latency for certain FEC codes. The results of our analysis also indicate the cases where ARQ outperforms FEC codes for various end-to-end distance and target PER values.
LETO - A Lustre-Based Test Oracle for Airbus Critical Systems
Authors: Guy Durrieu, Hélène Waeselynck, Virginie Wiels
Venue: Formal Methods for Industrial Critical Systems: 13th International Workshop, FMICS 2008, L'Aquila, Italy, September 15-16, 2008, Revised Selected Papers (2009)

This paper presents an approach and an associated tool that have been proposed to automate the test oracle procedure of critical systems developed at Airbus. The target tests concern the early validation of the SCADE design and are performed in a simulated environment. The proposed approach and tool have been successfully applied to several Airbus examples.
Fraser Health Uses Mathematical Programming to Plan Its Inpatient Hospital Network
Venue: Interfaces (2009)

Fraser Health (FH), a British Columbia health authority that serves more than 1.5 million people, must increase its acute care capacity significantly over the next 15 years because of anticipated population growth and aging. The distribution of the projected capacity over each of FH's 12 hospitals depends on the mix of clinical services to be provided at each site, a decision guided by population needs and clinical practices. We present a multiperiod mathematical programming model that we developed to provide options for configuring the system, specifically the location of clinical services and allocation of bed capacity across the hospitals. The decisions in the model are based on population access, critical mass standards, and clinical adjacencies. We describe its application in a long-term planning initiative that FH undertook. Extensive scenario analyses allowed administrators, clinicians, and planners to test multiple system configurations, gain a robust understanding of the trade-offs between these configurations, and formalize the planning process for acute care services.
Lookahead in deterministic left-corner parsing
Authors: James Henderson
Venue: Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (2004)

To support incremental interpretation, any model of human sentence processing must not only process the sentence incrementally, it must to some degree restrict the number of analyses which it produces for any sentence prefix. Deterministic parsing takes the extreme position that there can only be one analysis for any sentence prefix. Experiments with an incremental statistical parser show that performance is severely degraded when the search for the most probable parse is pruned to only the most probable analysis after each prefix. One method which has been extensively used to address the difficulty of deterministic parsing is lookahead, where information about a bounded number of subsequent words is used to decide which analyses to pursue. We simulate the effects of lookahead by summing probabilities over possible parses for the lookahead words and using this sum to choose which parse to pursue. We find that a large improvement is achieved with one word lookahead, but that more lookahead results in relatively small additional improvements. This suggests that one word lookahead is sufficient, but that other modifications to our left-corner parsing model could make deterministic parsing more effective.
Extended Symmetric Sampling Strategy for Unscented Kalman Filter
Authors: Fuming Sun, Yonghong Ma, Jingli Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

This paper concerns the unscented Kalman filter (UKF) for the nonlinear dynamic systems. The sampling principle of UKF is firstly addressed, which is based on moment matching method. Then we designed an extended symmetric sampling strategy, given an n-dimensional state, which defines 4n+1 symmetric points that lie on axes to fully represent the mean and covariance of the state. The performance of the two UKFs, namely, the UKF and the extended symmetric UKF (EUKF), is compared by using the mean of the root of mean square error. The simulation results showed that EUKF outperforms the UKF in the presence of strong noise and the scalar k is a key factor involved in both UKFs.
Capturing Social Networking Privacy Preferences
Authors: Ramprasad Ravichandran, Michael Benisch, Patrick Gage Kelley, Norman M. Sadeh
Venue: Proceedings of the 9th International Symposium on Privacy Enhancing Technologies (2009)

Social networking sites such as Facebook and MySpace thrive on the exchange of personal content such as pictures and activities. These sites are discovering that people's privacy preferences are very rich and diverse. In theory, providing users with more expressive settings to specify their privacy policies would not only enable them to better articulate their preferences, but could also lead to greater user burden. In this article, we evaluate to what extent providing users with default policies can help alleviate some of this burden. Our research is conducted in the context of location-sharing applications, where users are expected to specify conditions under which they are willing to let others see their locations. We define canonical policies that attempt to abstract away user-specific elements such as a user's default schedule, or canonical places, such as "work" and "home." We learn a set of default policies from this data using decision-tree and clustering algorithms. We examine trade-offs between the complexity / understandability of default policies made available to users, and the accuracy with which they capture the ground truth preferences of our user population. Specifically, we present results obtained using data collected from 30 users of location-enabled phones over a period of one week. They suggest that providing users with a small number of canonical default policies to choose from can help reduce user burden when it comes to customizing the rich privacy settings they seem to require.