ppxscal/embedding_network huggingface dataset:
Discovering expressive process models from noised log data
Authors: Francesco Folino, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
Venue: Proceedings of the 2009 International Database Engineering & Applications Symposium (2009)

Process-oriented systems have been increasingly attracting data mining researchers, mainly due to the advantages that the application of inductive process mining techniques to log data could open to both the analysis of complex processes and the design of new process models. However, the actual impact of process mining in the industry is endangered by some simplifying assumptions these techniques relies on. In fact, current approaches have still problems to mine models over languages that allow for complex constructs, e.g., duplicate tasks, hidden tasks, non-free-choice constructs, and/or when noise is admitted in the log. In this paper, some advances to facing these problems are made, by proposing an algorithm which can deal with duplicate and hidden tasks, as well as with the presence of noise and non-free choice relationships among process activities. Importantly, due to the local nature of the search strategy exploited by the algorithm, the proposed approach seems suited to scale in real-world application scenarios.
Improved DCCP Congestion Control for Wireless Sensor Networks
Authors: Liu Yong-Min, Jiang Xin-Hua, Nian Xiao-Hong, Lu Wu-Yi
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

TCP is primarily designed for wired networks and became very efficient and robust with years of enhancements. However, experiments and research showed that TCP’s congestion control algorithm performs very poorly over Wireless Sensor Networks with degraded throughputs. This paper studies TCP’s throughput issues in Wireless Sensor Networks, and designs an improved congestion control algorithm based on the characteristics of the Wireless Sensor Networks. The protocol is designed as improvement to DCCP(Datagram Congestion Control Protocol) with a new congestion control component. We also implemented this congestion control algorithm in NS2. Our simulation results demonstrate that the improved DCCP techniques are highly throughput in dealing with data transfer process.
Top down fabrication of long silicon nanowire devices by means of lateral oxidation
Authors: Giovanni Pennelli
Venue: Microelectronic Engineering (2009)

The process for the fabrication of devices based on a single silicon nanowire with a triangular section is presented and discussed. The top down fabrication process exploits the properties of silicon anisotropic etching for the realization of very regular trapezoidal structures, that can be uniformly reduced in controlled way by means of lateral oxidation. This allows the reproducible realization of nanowires smaller than 20nm, and with a length of several micrometers, starting from relatively big structures that, even if electron beam lithography has been used in the present work, could be realized also by other (as optical) lithographic techniques. Nanowires are already placed between silicon contacts for electrical transport characterization. The process, compatible with the actual MOS technology, is suitable for a massive, large-scale production of silicon nanowire based devices and it allows a flexible platform for multigate and more complex structures and devices. The nanowire triangular section is a step toward the integration of three-dimensional devices. Electrical characteristics of silicon nanowire FETs, both p- and n-doped, will be reported and discussed.
One-dimensional modeling of TE devices considering temperature-dependent parameters using SPICE
Authors: Daniel Mitrani, Jordi Salazar, Antoni Turó, Miguel J. García, Juan A. Chávez
Venue: Microelectronics Journal (2009)

Based on simplified one-dimensional steady-state analysis of thermoelectric phenomena and on analogies between thermal and electrical domains, we propose both lumped and distributed parameter electrical models for thermoelectric devices. A couple of important advantages of the presented models are that the temperature dependence of material properties is considered and that they can be easily simulated using an electronic simulation tool such as SPICE. For a single free-standing pellet, comparisons are made between SPICE simulations using the proposed models and with numerical simulations carried out with Mathematica software. Results illustrate accuracy of the distributed parameter models and show how inappropriate it is to assume, in some cases, constant material parameters for an entire thermoelectric element.
Interactions in the air: adding further depth to interactive tabletops
Authors: Otmar Hilliges, Shahram Izadi, Andrew D. Wilson, Steve Hodges, Armando Garcia-Mendoza, Andreas Butz
Venue: Proceedings of the 22nd annual ACM symposium on User interface software and technology (2009)

Although interactive surfaces have many unique and compelling qualities, the interactions they support are by their very nature bound to the display surface. In this paper we present a technique for users to seamlessly switch between interacting on the tabletop surface to above it. Our aim is to leverage the space above the surface in combination with the regular tabletop display to allow more intuitive manipulation of digital content in three-dimensions. Our goal is to design a technique that closely resembles the ways we manipulate physical objects in the real-world; conceptually, allowing virtual objects to be 'picked up' off the tabletop surface in order to manipulate their three dimensional position or orientation. We chart the evolution of this technique, implemented on two rear projection-vision tabletops. Both use special projection screen materials to allow sensing at significant depths beyond the display. Existing and new computer vision techniques are used to sense hand gestures and postures above the tabletop, which can be used alongside more familiar multi-touch interactions. Interacting above the surface in this way opens up many interesting challenges. In particular it breaks the direct interaction metaphor that most tabletops afford. We present a novel shadow-based technique to help alleviate this issue. We discuss the strengths and limitations of our technique based on our own observations and initial user feedback, and provide various insights from comparing, and contrasting, our tabletop implementations
Hybrid Hard/Soft Decode-and-Forward Relaying Protocol with Distributed Turbo Code
Authors: Taekhoon Kim, Dong In Kim
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

This paper proposes a hybrid hard/soft decode-and-forward (DF) relaying protocol with distributed turbo code (DTC), based on error detection in cooperative communications. In order to improve the performance in outage case of the channel between source and relay in uplink transmission, the relay decides whether to hard or soft decode the received signal based on the error detection before forwarding to the destination. Our simulation results show that the proposed hybrid hard/soft DF relaying outperforms conventional relaying protocols, in terms of the bit-error rate (BER) performance, in uplink cooperative communications with DTC. This is because the proposed scheme does not amplify the noise and propagate error to the destination by decoding adaptively with the help of error detection code or the use of known threshold in signal-to-noise ratio (SNR).
Beginning Ubuntu Linux, Fourth Edition, 4th edition
Authors: Keir Thomas, Andy Channelle, Jaime Sicam
Venue:  (2009)

Beginning Ubuntu Linux, Fourth Edition is the update to the bestselling book on Ubuntu, todays hottest Linux distribution. Targeting newcomers to Linux and to the Ubuntu distribution alike, readers are presented with an introduction to the world of Linux and open source community, followed by a detailed overview of Ubuntus installation and configuration process. From there readers learn how to wield total control over their newly installed operating system, and are guided through common tasks such as writing documents, listening to audio CDs and MP3s, watching movies, using VOIP and chat, and of course general system maintenance matters. Additionally, theres a series of comprehensive tutorials on Linux internals and the commandline promptessential for any Linux userand the book includes special sections on optimization, security, and system maintenance. The book comes with a DVD containing the complete Ubuntu Linux distribution. All you need to do is insert the DVD and follow the instructions in the book to install this distribution. The ultimate guide to Ubuntu, the hottest Linux distribution on the planet. Forgoes introductions to esoteric Linux topics so commonly found in other books and instead focuses on everyday tasks for everyday users: printer and file sharing configuration, office document management, and listening to MP3s and watching movies among them. What youll learn Use Ubuntu as a daily desktop replacement. Complete all manner of office tasks, such as creating Microsoft Officecompatible documents and spreadsheets, using email, and managing contacts. Listen to MP3s and CDs, and watch movies using a userfriendly Linux desktop. Configure Ubuntus printer and filesharing features to share resources seamlessly with other computers on your network. Become a proficient user of the Linux command line. Who is this book for? Beginning Linux users seeking to explore the popular Ubuntu distribution About the Apress Beginning Series The Beginning series from Apress is the right choice to get the information you need to land that crucial entrylevel job. These books will teach you a standard and important technology from the ground up because they are explicitly designed to take you from novice to professional. Youll start your journey by seeing what you need to knowbut without needless theory and filler. Youll build your skill set by learning how to put together realworld projects step by step. So whether your goal is your next career challenge or a new learning opportunity, the Beginning series from Apress will take you thereit is your trusted guide through unfamiliar territory!
Combining knowledge acquisition and machine learning to control dynamic systems
Authors: G. M. Shiraz, C. Sammut
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is to build the controller by acquiring the knowledge of an operator skilled at that task. This method has been demonstrated for the skill of learning to fill an aircraft in a flight simulator. The simulator has been augmented to interact with a knowledge acquisition program for creating rules and logging the pilot's actions along with flight information. We have developed a method called Dynamic Ripple Down Rules for knowledge acquisition and Learning Dynamic Ripple Down Rules for automatically generating rules from the logged data. The rules were tested by running the flight simulator in autopilot mode where the autopilot code is implemented by the rules.
Minimal Ventilation Velocity to Control Smoke in Subway Fire
Authors: Wen-Zhong Wu, Shi-Jun You
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Smoke-control of subway fire is always in a developing stage. In Airpak model of a subway platform, 30MW fire is reconstructed, then along with 2 m3/(min•m2) extraction level, 1.0~4.0 m/s longitudinal ventilation is activated to control its smoke back-layer. When ventilation velocity is not less than 2.0 m/s, temperature, mass rate of smoke and air quality stratify upstream fire source, and they level off after the velocity surpasses 2.5 m/s, which implies minimal ventilation velocity to control smoke back-layer exists and it comes out as 2.5 m/s in this case. Compared to critical ventilation velocity in many other studies, minimal ventilation velocity guarantees not only little burn, but also good visibility and low toxicity to evacuee and fire-fighter, a better index of smoke-control effectiveness in subway fire.
Exploiting User Navigation to Improve Focused Retrieval
Authors: M. S. Ali, Mariano P. Consens, Bassam Helou, Shahan Khatchadourian
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)

A common approach for developing XML element retrieval systems is to adapt text retrieval systems to retrieve elements from documents. Two key challenges in this approach are to effectively score structural queries and to control overlap in the output across different search tasks. In this paper, we continue our research into the use of navigation models for element scoring as a way to represent the user's preferences for the structure of retrieved elements. Our goal is to improve search systems using structural scoring by boosting the score of desirable elements and to post-process results to control XML overlap. This year we participated in the Ad-hoc Focused, Efficiency, and Entity Ranking Tracks, where we focused our attention primarily on the effectiveness of small navigation models. Our experiments involved three modifications to our previous work; (i) using separate summaries for boosting and post-processing, (ii) introducing summaries that are generated from user study data, and (iii) confining our results to using small models. Our results suggest that smaller models can be effective but more work needs to be done to understand the cases where different navigation models may be appropriate.
Class noise detection using frequent itemsets
Authors: Jason Van Hulse, Taghi M. Khoshgoftaar
Venue: Intelligent Data Analysis (2006)

The presence of a substantial number of noisy instances in a given dataset may adversely affect the hypothesis learnt from that data. Removing noisy instances prior to the construction of a classifier has been shown to improve the classification ability of a learner on new data. This paper introduces a novel technique for identifying observations with class noise in a dataset using frequent itemsets. For the given dataset, each instance is assigned a NoiseFactor, indicating a relative likelihood that it contains class noise. A frequent itemset is a set of instances with common attribute values which contains at least as many instances as a user-defined minimum support threshold. Consequently, the set of frequent itemsets contains information related to the structure and dependence between the attributes. Each frequent itemset is assigned a class, based on the proportion of instances within the itemset from each class. Instances that are contained in itemsets that have a large proportion of instances from the other class are identified as noisy. The technique proposed in this paper is analyzed in numerous case studies using real-world software measurement datasets with either inherent or injected noise. A comparison is provided with two well-known techniques for the identification of class noise: Classification Filter and Ensemble Filter. The results demonstrate that this new algorithm is very effective at identifying instances with class noise.
Adaptive Kernels for Multi-fiber Reconstruction
Authors: Angelos Barmpoutis, Bing Jian, Baba C. Vemuri
Venue: Proceedings of the 21st International Conference on Information Processing in Medical Imaging (2009)

In this paper we present a novel method for multi-fiber reconstruction given a diffusion-weighted MRI dataset. There are several existing methods that employ various spherical deconvolution kernels for achieving this task. However the kernels in all of the existing methods rely on certain assumptions regarding the properties of the underlying fibers, which introduce inaccuracies and unnatural limitations in them. Our model is a non trivial generalization of the spherical deconvolution model, which unlike the existing methods does not make use of a fix-shaped kernel. Instead, the shape of the kernel is estimated simultaneously with the rest of the unknown parameters by employing a general adaptive model that can theoretically approximate any spherical deconvolution kernel. The performance of our model is demonstrated using simulated and real diffusion-weighed MR datasets and compared quantitatively with several existing techniques in literature. The results obtained indicate that our model has superior performance that is close to the theoretic limit of the best possible achievable result.
The Physiological User's Response as a Clue to Assess Visual Variables Effectiveness
Authors: Mickaël Causse, Christophe Hurter
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

The paper deals with the introduction of Bertin's visual variables in an ATC context. The ranking of the efficiency of these variables has been experimentally verified by Cleveland, however, no studies highlight the physiological correlates of this ranking. We analyzed behavioral, physiological and subjective data recorded on 7 healthy subjects facing a visual comparison task witch involve 5 selected visual characterizations (angle, text, surface, framed rectangles and luminosity). Results showed that the observed accuracy was coherent with Mackinlay ranking of visual variables. Psychophysiological and subjective measurements are also discussed.
Locally Testable Codes Require Redundant Testers
Authors: Eli Ben-Sasson, Venkatesan Guruswami, Tali Kaufman, Madhu Sudan, Michael Viderman
Venue: Proceedings of the 2009 24th Annual IEEE Conference on Computational Complexity (2009)

Locally testable codes (LTCs) are error-correcting codes for which membership, in the code, of a given word can be tested by examining it in very few locations. Most known constructions of locally testable codes are linear codes, and give error-correcting codes whose duals have (superlinearly) {\em many} small weight codewords. Examining this feature appears to be one of the promising approaches to proving limitation results for (i.e., upper bounds on the rate of) LTCs. Unfortunately till now it was not even known if LTCs need to be non-trivially redundant, i.e., need to have {\em one} linear dependency among the low-weight codewords in its dual. In this paper we give the first lower bound of this form, by showing that every positive rate constant query strong LTC must have linearly many redundant low-weight codewords in its dual. We actually prove the stronger claim that the {\em actual test itself} must use a linear number of redundant dual codewords (beyond the minimum number of basis elements required to characterize the code); in other words, non-redundant (in fact, low redundancy) local testing is impossible.
Improving Location Identification in Wireless Ad Hoc/Sensor Networks Using GDOP Theory
Authors: Yifan Zhao, Chung-Horng Lung, Ioannis Lambadaris, Nishith Goel
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

This paper presents a practical approach to location identification for Ad Hoc/Sensor networks. The approach adopts the cell based location identification concept and basic realistic assumptions to most types of Ad Hoc/Sensor networks. Some drawbacks of theTDOA system are resolved. Further, the location estimationaccuracy of the proposed system, Hybrid TDOA, is improved in different environments compared with the TDOA method based on simulations. The proposed method also performs well in both nonnoisy and noisy environments.
Context-Aware Cognitive Agent Architecture for Ambient User Interfaces
Authors: Youngho Lee, Choonsung Shin, Woontack Woo
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

An ambient user interface is a set of hidden intelligent interfaces that recognize user's presence and provides services to immediate needs. There are several research activities on user interfaces and interactions which combining VR/AR, ubiquitous computing/ambient interfaces, and artificial intelligence. However, real-time and intelligent responses of user interfaces are still challenging problems. In this paper, we introduce the design of Context-aware Cognitive Agent Architecture (CCAA) for real-time and intelligent responses of ambient user interfaces in ubiquitous virtual reality, and discuss possible scenarios for realizing ambient interfaces. CCAA applies a vertically layered two-pass agent architecture with three layers. The three layers are AR (augmented reality) layer, CA (context-aware) layer, and AI layer. The two passes interconnect the layers as an input or output. One of the passes of each layer is an input path from a lower layer or environmental sensors describing a situation. The other pass is an output path and deliveries a set of appropriated actions based on the understanding of the situation. This architecture enables users interact with ambient smart objects through an ambient user interface in various ways of intelligence by exploiting context and AI techniques. Based on the architecture, several possible scenarios about recognition problems and higher level intelligent services for ambient interaction are suggested.
Anonymous Agent Coordination in Smart Spaces: State-of-the-Art
Authors: Alexander Smirnov, Alexey Kashevnik, Nikolay Shilov, Ian Oliver, Sergey Balandin, Sergey Boldyrev
Venue: Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces (2009)

Development of new technologies brings people new possibilities such as smart spaces. Smart spaces can provide better user experience by allowing a user to connect new devices flexibly and to access all the information in the multi device system from any of the devices. The paper describes work-in-progress performed under a joint project of SPIIRAS and Nokia. The project is aimed at the analysis of existing anonymous agent coordination languages and adaptation of them to coordination of smart space devices.
A Camera Self-calibration Method Based on Hybrid Optimization Algorithm
Authors: Li QiShen, Lin LiCai, Jiang ZeTao
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

A new camera self-calibration approach is presented by combining an improved Genetic Algorithm (GA) with Levenberg-Marquardt (LM) algorithm. Firstly, the simplified Kruppa equation defined by Hartley is translated into the optimized cost function. Secondly, the minimum value of the optimized cost function is calculated by a hybrid optimization algorithm which combines the improved GA with LM algorithm. Finally, the intrinsic parameters of the camera are obtained. Several experiments are implemented to demonstrate the validity and the performance of the presented approach. The results show that it is accurate, and the accuracy of the proposed method is obviously improved compared with the single optimization methods.