ppxscal/embedding_network huggingface dataset:
Research on Warning Mechanism of Link Quality for Event-driven Wireless Sensor Network
Authors: Linlan Liu, Jun Li, Zhenghua Wu, Jian Shu
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

There are two states in Event-driven Wireless Sensor Network, one is non-event state, and the other is event state. In non-event state, the network traffic is very small and the requirement for real-time performance of network is not strict. However, in event state the traffic is large, the critical information would be lost once the link quality goes bad without responding timely. This paper does research on warning mechanism of link quality in event state. And in Event-driven Wireless Sensor Network, there are two cases of packet loss, one is successive packet loss and the other is random packet loss. For the successive packet loss of link, this paper proposes a warning mechanism named SPLWM (successive packet loss warning mechanism). The key issue what SPLWM settle is finding out the warning threshold of successive packet loss. If the number of successive packet loss exceeds threshold, we consider there are some problems in the link, and warning messages should be reported. For random packet loss, this paper proposes a warning mechanism named RPLWM (random packet loss warning mechanism) which makes some improvements on conventional method. The key issue what RPLWM settle is doing warning to the case that the sum of packet loss in sample cycle exceeds the min tolerance threshold, it reacts more quickly than conventional method. With these Warning mechanisms, we can do warning to the link in bad state. And with the captured warning messages, the upper-layer protocol can make analysis and estimation of link and then make some adjustments to link. With the mechanism mentioned above, the real-time performance and reliability of network will be improved.
P300 Based Brain Computer Interfaces: A Progress Report
Authors: Emanuel Donchin, Yael Arbel
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Brain-Computer Interfaces (BCI) are the only means of communication available to patients who are locked-in, that is for patients who are completely paralyzed yet are fully conscious. We focus on the status of the P300-BCI first described by Farwell and Donchin (1988). This system has now been tested with several dozen ALS patients and some have been using this approach for communication at a very extensive level. More recently, we have adapted this BCI (in collaboration with the laboratory of Dr. Rajiv Dubey) to the control of a robotic arm. In this presentation we will discuss the special problems of human computer interaction that occur within the context of such a BCI. The special needs of the users forced the development of variants of this system, each with advantages and disadvantages. The general principles that can be derived from the experience we have had with this BCI will be reviewed.
Learning phoneme mappings for transliteration without parallel data
Authors: Sujith Ravi, Kevin Knight
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

We present a method for performing machine transliteration without any parallel resources. We frame the transliteration task as a decipherment problem and show that it is possible to learn cross-language phoneme mapping tables using only monolingual resources. We compare various methods and evaluate their accuracies on a standard name transliteration task.
SenseRelate targetword: a generalized framework for word sense disambiguation
Authors: Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 4 (2005)

Many words in natural language have different meanings when used in different contexts. Sense Relate: Target Word is a Perl package that disambiguates a target word in context by finding the sense that is most related to its neighbors according to a WordNet: Similarity measure of relatedness.
MiTAP for SARS detection
Authors: Laurie E. Damianos, Samuel Bayer, Michael A. Chisholm, John Henderson, Lynette Hirschman, William Morgan, Marc Ubaldino, Guido Zarrella, James M. Wilson, Marat G. Polyak
Venue: Demonstration Papers at HLT-NAACL 2004 on XX (2004)

The MiTAP prototype for SARS detection uses human language technology for detecting, monitoring, and analyzing potential indicators of infectious disease outbreaks and reasoning for issuing warnings and alerts. MiTAP focuses on providing timely, multilingual information access to analysts, domain experts, and decision-makers worldwide. Data sources are captured, filtered, translated, summarized, and categorized by content. Critical information is automatically extracted and tagged to facilitate browsing, searching, and scanning, and to provide key terms at a glance. The processed articles are made available through an easy-to-use news server and cross-language information retrieval system for access and analysis anywhere, any time. Specialized newsgroups and customizable filters or searches on incoming stories allow users to create their own view into the data while a variety of tools summarize, indicate trends, and provide alerts to potentially relevant spikes of activity.
A New Resource Constrained Project Scheduling Problem
Authors: Xiaoxiang Liu, Weigang Jiang, Jianwen Xie, Yitian Jia
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The optimal scheduling of resource and program has became the key to the success of enterprise development projects. The conventional resource constrained project scheduling problem seeks a solution which satisfies the time and resource constraints on purpose of a minimal construction period. With the development of the society, the realistic problems trend to be more and more complicated, and the RCPSP model is thereupon complex. This paper proposes a new project scheduling model with success rate and it is suitable for large-scale project scheduling problems, then, an improved particle swarm optimization called CPSO based on PSO and GA is used to solve the problems. The application of solving examples with CPSO demonstrates that this algorithm is effective.
Biting, Whirling, Crawling - Children's Embodied Interaction with Walk-through Displays
Authors: Satu Jumisko-Pyykkö, Mandy Weitzel, Ismo Rakkolainen
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Understanding of embodied interaction in the context of walk-through displays and designing for it is very limited. This study examined children's intuitive embodied interaction with a large, semi-visible, projective walk-through display and space around it using observation. We identified several interaction patterns for passing, staying and moving inside the screen, using whole body and its parts for manipulating surface and content on the screen, and ways of expanding the actual interaction environment outside of the projected screen. We summarize the interaction patterns in the form of palette for rich embodied interaction with projected walk-through displays.
A Provably Secure and Efficient Countermeasure against Timing Attacks
Authors: Boris Köpf, Markus Dürmuth
Venue: Proceedings of the 2009 22nd IEEE Computer Security Foundations Symposium (2009)

We show that the amount of information about the key that anunknown-message attacker can extract from a deterministicside-channel is bounded from above by |O| log (n+1) bits, wheren is the number of side-channel measurements and O is the set ofpossible observations.We use this bound to derive a novelcountermeasure against timing attacks, where the strength of thesecurity guarantee can be freely traded for the resultingperformance penalty. We give algorithms that efficiently andoptimally adjust this trade-off for given constraints on theside-channel leakage or on the efficiency of thecryptosystem. Finally, we perform a case-study that shows thatapplying our countermeasure leads to implementations with minorperformance overhead and formal security guarantees.
Paravirtualization effect on single- and multi-threaded memory-intensive linear algebra software
Authors: Lamia Youseff, Keith Seymour, Haihang You, Dmitrii Zagorodnov, Jack Dongarra, Rich Wolski
Venue: Cluster Computing (2009)

Previous studies have revealed that paravirtualization imposes minimal performance overhead on High Performance Computing (HPC) workloads, while exposing numerous benefits for this field. In this study, we are investigating the impact of paravirtualization on the performance of automatically-tuned software systems. We compare peak performance, performance degradation in constrained memory situations, performance degradation in multi-threaded applications, and inter-VM shared memory performance. For comparison purposes, we examine the proficiency of ATLAS, a quintessential example of an autotuning software system, in tuning the BLAS library routines for paravirtualized systems. Our results show that the combination of ATLAS and Xen paravirtualization delivers native execution performance and nearly identical memory hierarchy performance profiles in both single and multi-threaded scenarios. Furthermore, we show that it is possible to achieve memory sharing among OS instances at native speeds. These results expose new benefits to memory-intensive applications arising from the ability to slim down the guest OS without influencing the system performance. In addition, our findings support a novel and very attractive deployment scenario for computational science and engineering codes on virtual clusters and computational clouds.
Preparation and Performance Study on Lignite Briquette Coke
Authors: Wang Na, Zhu Shu-quan, Chu Mo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In order to promote the energy utilization efficiency and reduce the environmental pollution in the process of lignite direct utilization, lignite briquette and its coke were prepared. The effects of pyrolysis temperature and holding time on the briquette coke were investigated through the pyrolysis experiments of lignite briquette. The results showed that the changes of yield, volatile, ash, fixed carbon, elemental composition and oxygen functional groups content of briquette coke were dependent on increasing pyrolysis temperature and holding time. The mechanical properties of the briquette coke were assessed by means of their cold strength, compressive strength, thermal strength, immersion strength, falling strength, and so on. The fine quality briquette coke prepared from lignite briquette with high strength, heat stability more than 96%, low calorific value on dry basis higher than 6600Cal/g, and its volatile content could reach no more than 3%.
Structural Parameter Identification for Articulated Arm Coordinate Measuring Machines
Authors: Guanbin Gao, Wen Wang, Keng Lin, Zichen Chen
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Errors of structural parameters are the most important factors causing uncertainty of articulated arm coordinate measuring machines (AACMMs). Therefore these parameters must be identified to insure the accuracy of AACMMs. The kinematic model of six degree of freedom (6-DOF) AACMMs was established, and the structural parameters influencing the accuracy of AACMMs were achieved through analysis. A method to acquire data for identification with a cone-shape hole was presented. With single-point repeatability as the objective function, a modified simulated annealing algorithm (MSAA) was presented to identify structural parameters. A 6-DOF AACMM was used to carry out experimental tests in order to evaluate the efficiency of the MSAA, showing that after identification the repeatability and length measuring accuracy are improved greatly.
The Effect of Clearance in Total Hip Endoprosthesis
Authors: Florin Munteanu, Paul Sirbu, Constantin Barbarosie, Anca Munteanu, Paul Botez
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

The aim of this paper is to establish a theoretical -experimental method which would emphasize the importance of radial clearance between the cotyloid cup and the femoral head in total hip endoprostheses. Three UHMWPE acetabular cups of different diameters, with the same diameter of the femoral head (CoCrMo), were tested on equipment that determines the tribologic parameters of the biomaterials used in total hip endprostheses. The results showed minimum wear for a 0.1-0.15mm radial clearance and maximum wear at clearance values close to 0, or higher than 0.5mm.
Business Collaborations in Grids: The BREIN Architectural Principals and VO Model
Authors: Steve Taylor, Mike Surridge, Giuseppe Laria, Pierluigi Ritrovato, Lutz Schubert
Venue: Proceedings of the 6th International Workshop on Grid Economics and Business Models (2009)

We describe the business-oriented architectural principles of the EC FP7 project "BREIN" for service-based computing. The architecture is founded on principles of how real businesses interact to mutual benefit, and we show how these can be applied to SOA and Grid computing. We present building blocks that can be composed in many ways to produce different value systems and supply chains for the provision of computing services over the Internet. We also introduce the complementary BREIN VO concept, which is centric to, and managed by, a main contractor who bears the responsibility for the whole VO. The BREIN VO has an execution lifecycle for the creation and operation of the VO, and we have related this to an application-focused workflow involving steps that provide real end-user value. We show how this can be applied to an engineering simulation application and how the workflow can be adapted should the need arise.
On finding a solution in temporal constraint satisfaction problems
Authors: Alfonso Gerevini, Matteo Cristani
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

Computing a consistent interpretation of the variables involved in a set of temporal constraints is an important task for many areas of AI requiring temporal reasoning. We focus on the important classes of the qualitative relations in Nebel and Biirckert's ORD-Horn algebra, and of the metric constraints forming a STP, possibly augmented w i th inequations. For these tractable classes we present three new algorithms for solving the problem of finding a solution, and an efficient algorithm for determining the consistency of a STP augmented with in equations.
Impact of Gaze Analysis on the Design of a Caption Production Software
Authors: Claude Chapdelaine, Samuel Foucher, Langis Gagnon
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Producing caption for the deaf and hearing impaired is a labor intensive task. We implemented a software tool, named SmartCaption, for assisting the caption production process using automatic visual detection techniques aimed at reducing the production workload. This paper presents the results of an eye-tracking analysis made on facial regions of interest to understand the nature of the task, not only to measure of the quantity of data but also to assess its importance to the end-user; the viewer. We also report on two interaction design approaches that were implemented and tested to cope with the inevitable outcomes of automatic detection such as false recognitions and false alarms. These approaches were compared with a Keystoke-Level Model (KLM) showing that the adopted approach allowed a gain of 43% in efficiency.
Qualitative temporal reasoning with points and durations
Authors: Isabel Navarrete, Roque Marin
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

We present here a qualitative temporal reasoning system that takes both points and durations as primitive objects and allows relative and indefinite information. We formaly define a point duration network, as a structure formed by two point algebra (PA) networks separately but not independently, since ternary constraints are introduced for relating point and duration information. We adapt some of the concepts and reasoning techniques developed for the point algebra networks, such as consistency and minimality. We prove that the problem of determining consistency in a point duration network is NP-complete. A simpler and polynomial-time decision problem is introduced for a restricted kind of point duration networks. Finally we suggest how to determine consistency and find minimal point duration network in the general case.
Study on Detection Method for Harmonic and Reactive Current in Single-Phase Circuit
Authors: Xiao Lei, Chunlin Guo, Yonghai Xu, Qiang Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The instantaneous reactive power theory is widely used in the detection of harmonic and reactive current in three-phase circuit, and can also be used in single-phase circuit detection. This paper deducts the detection method in single-phase circuit by constructing two-phase system based on the instantaneous reactive power theory. An improved algorithm to obtain the key circuit components is presented to avoid the shortages of existing documents. Many simulations have been achieved and the result illustrates the effectiveness and performance of the proposed method.
Performance Analysis of Binary Negative-Exponential Backoff Algorithm in IEEE 802.11a WLAN under Erroneous Channel Condition
Authors: Bum-Gon Choi, Sueng Jae Bae, Tae-Jin Lee, Min Young Chung
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

IEEE 802.11 is the most famous protocol for implementation of wireless local area network (WLAN). To access the medium, IEEE 802.11 uses carrier sense multiple access with collision avoidance (CSMA/CA) mechanism, called distributed coordination function (DCF). Although DCF uses binary exponential backoff (BEB) algorithm to avoid frame collisions, wireless resources are wasted due to a lot of collisions under the condition that there are many contending stations. To solve this problem, a binary negative-exponential backoff (BNEB) algorithm has been proposed and its saturation throughput was evaluated under erroneous channel condition. As extention of our previous work, this paper evaluates performance of BNEB algorithm via mathematical analysis and simulations under saturation and erroneous channel condition in terms of the MAC delay and throughput. Also, we compare the performance of DCF with BEB to that with BNEB under normal traffic and erroneous channel condition by intensive simulations. From the results, BNEB yields better performance than BEB in general.
Clustering with Domain Value Dissimilarity for Categorical Data
Authors: Jeonghoon Lee, Yoon-Joon Lee, Minho Park
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

Clustering is a representative grouping process to find out hidden information and understand the characteristics of dataset to get a view of the further analysis. The concept of similarity and dissimilarity of objects is a fundamental decisive factor for clustering and the measure of them dominates the quality of results. When attributes of data are categorical, it is not simple to quantify the dissimilarity of data objects that have unimportant attributes or synonymous values. We suggest a new idea to quantify dissimilarity of objects by using distribution information of data correlated to each categorical value. Our method discovers intrinsic relationship of values and measures dissimilarity of objects effectively. Our approach does not couple with a clustering algorithm tightly and so can be applied various algorithms flexibly. Experiments on both synthetic and real datasets show propriety and effectiveness of this method. When our method is applied only to traditional clustering algorithms, the results are considerably improved than those of previous methods.
Statistical Study on Disease-Related ncRNAs Using Z-curve Method
Authors: Yan-ling Yang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

It has become very important to study non-coding RNAs in the recent years. The Z curve is a very useful method for visualizing and analyzing DNA sequences among the approaches of researching ncRNAs. It is a three-dimensional space curve that constitutes a unique representation of a given DNA sequence, i.e., both the Z-curver and the given DNA sequence can be uniquely reconstructed from the other. Using Z curve method, we select 15 disease related ncRNAs sequences from the NONCODE database, which relate with Alzheimer Disease. The corresponding Z curves of the studied ncRNAs, sequences have been mapped and compared. The statistical features of the Z curves are obtained. These features indicate that the ncRNAs sequences, which play same roles in the celluar process, have almost the same Z-curves. And the base content in these sequences is almost same too, in spite of coming from different organisms.
A Survey of Passive Image Tampering Detection
Authors: Wei Wang, Jing Dong, Tieniu Tan
Venue: Proceedings of the 8th International Workshop on Digital Watermarking (2009)

Digital images can be easily tampered with image editing tools. The detection of tampering operations is of great importance. Passive digital image tampering detection aims at verifying the authenticity of digital images without any a prior knowledge on the original images. There are various methods proposed in this filed in recent years. In this paper, we present an overview of these methods in three levels, that is low level, middle level, and high level in semantic sense. The main ideas of the proposed approaches at each level are described in detail, and some comments are given.
Research on the Influence upon Accuracy of Temperature Measuring in Distance and Correction Method
Authors: Jian Sun, Juan Wu, Yanyan Huang, Ruixiang Liu, Le Chen
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

Based on the formula of image radiation, the influence of distance on the temperature measurement accuracy using IR thermal is analyzed in theory. A algorithm for correction based on neural network is proposed. The error caused from the difference between measuring distance and calibrated distance is reduced by correction when measuring in a short distance.
Polymorphic Fractional Capabilities
Authors: Hirotoshi Yasuoka, Tachio Terauchi
Venue: Proceedings of the 16th International Symposium on Static Analysis (2009)

The capability calculus is a framework for statically reasoning about program resources such as deallocatable memory regions. Fractional capabilities, originally proposed by Boyland for checking the determinism of parallel reads in multi-thread programs, extend the capability calculus by extending the capabilities to range over the rational numbers. Fractional capabilities have since found numerous applications, including race detection, buffer bound inference, security analyses, and separation logic. However, previous work on fractional capability systems either lacked polymorphism or lacked an efficient inference procedure. Automated inference is important for the application of the calculus to static analysis. This paper addresses the issue by presenting a polymorphic fractional capability calculus that allows polynomial-time inference via a reduction to rational linear programming.