ppxscal/embedding_network huggingface dataset:
Effects of Hydrogen Peroxide on the Germination Characteristics of Cucumber Seeds
Authors: Yongdong Sun, Chuanlai Zhang, Anguo Qi, Weirong Luo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

There is increasing interest in the role of hydrogen peroxide (H2O2) in regulating growth and death in plants. This research aimed to reveal the effect of H2O2 on the germination characteristics of cucumber seeds. H2O2 concentrations(0, 0.01, 0.1 and 1 mmol•L-1) were set up to study the effect of different treatments on such indexes as the germination rate, the germination potential, germination index, growing vigor index, the length and width of taproot and hypocotyledonary axis of cucumber. The results showed that low concentration H2O2 (0-0.01 mmol•L-1) increased the germination potential, germination index, the length of taproot and the length of hypocotyledonary axis, but decreased the growing vigor index, number of fist later root and fresh weight. Under the high concentrations(0.01-1 mmol•L-1), all those germination indexes decreased with the increasing of H2O2 concentrations. The result of subordination function showed that 0.01 mmol•L-1 H2O2 concentration had promoted the seed germination and growth of cucumber and was the better treatment concentration.
Influence of User Experience on Affectiveness
Authors: Ryoko Fukuda
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Affectiveness is frequently discussed based on the first impression to the appearance of a product. However, experience in use of that product can also influence affectiveness. In order to clarify the influence of user experience on affectiveness, user perception of products should be investigated in several phases of using a product. In this paper, two experiments were presented, which compared user perception between before and after using products and investigated user perception during repeated use of products. The results suggested that user experience can affect affectiveness in several forms.
An Enhanced Lenient Merging Scheme for H.264 Variable Block Size Selection
Authors: Ihab Amer, Rana Hamed, Wael Badawy, Graham Jullien, James W. Haslett
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

The H.264 video coding standard supports the usage of Variable Block Size (VBS) Motion Estimation/ Compensation and Mode Decision (ME/MD). This tool clearly enhances the rate-distortion (R-D) capabilities of the encoder. However, it dramatically increases its computational requirements. This paper represents an extension to a recently proposed scheme for efficient block size mode selection [1]. The proposed scheme enhances the R-D performance of [1] at the expense of minor computational overhead. A dynamic version of the proposed scheme that requires reconfiguration of the encoder according to the target bitrate is also introduced. The dynamic solution exhibits better RD-performance than the static counterparts throughout the wide range of target bitrates.
Are very large context-free grammars tractable?
Authors: Pierre Boullier, Benoît Sagot
Venue: Proceedings of the 10th International Conference on Parsing Technologies (2007)

In this paper, we present a method which, in practice, allows to use parsers for languages defined by very large context-free grammars (over a million symbol occurrences). The idea is to split the parsing process in two passes. A first pass computes a sub-grammar which is a specialized part of the large grammar selected by the input text and various filtering strategies. The second pass is a traditional parser which works with the sub-grammar and the input text. This approach is validated by practical experiments performed on a Earley-like parser running on a test set with two large context-free grammars.
A Novel Data Fusion Algorithm Based on Wavelet Packet Analysis
Authors: Li Hong-lian, Zhang Wei-li, Yuan Hui-jian, Zhang Jun, Zhou Le-tao, Jiang Qiang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

It is difficult to establish a precise mathematical model in Extended Kalman Filter (EKF) data fusion algorithm for GPS/DR integrated vehicle navigation system, a novel data fusion algorithm is put forward, which based on wavelet packet analysis. Firstly, the algorithm chooses best wavelet packet group for GPS, odometer and gyroscope signals with least cost principle, and does dynamic pre-filtering for the signals by high frequency coefficients de-noising threshold method based on Stein's Unbiased Risk Estimation（SURE）. Finally, the algorithm provides precise positioning information for the GPS/DR integrated vehicle navigation system through doing EKF data fusion. The simulation results show that the algorithm is better than EKF data fusion algorithm, and improve data fusion effect for the GPS/DR integrated vehicle navigation system.
Intelligent distributed and supervised flow control methodology for production systems
Authors: Karim Tamani, Reda Boukezzoula, Georges Habchi
Venue: Engineering Applications of Artificial Intelligence (2009)

This paper deals with the development of an intelligent distributed and supervised control approach for high-volume production systems, in which the flow of parts can be approximated by a continuous (fluid) model. The proposed approach is based on the decomposition of the production system into elementary modules in order to reduce the control design computational complexity. In this context, a two levels control structure is proposed. At the local level, a surplus-based principle is adopted to regulate the production flow for each module according to the distributed structure. The proposed control methodology decides how to adjust the production rate in order to avoid system overloading and eliminate machine starvation or blocking. In this context, the local control law is synthesized by using the Takagi-Sugeno fuzzy systems. At the high level, a supervisory controller is designed to improve the overall system performances. A supervisor provides an additive component for each local controller when the overall system performances deviate from their acceptable domains (degraded mode). This is done by combining both local and global information into a unified formalism by using aggregation operators and according to fuzzy interval representation of the desired objectives. Finally, the feasibility of the proposed methodology is validated with simulation examples.
Accelerated Fatigue Bench Test of Driving Axle Housing Based on FEA
Authors: Nan Cong, Jianzhong Shang, Xun Chen, Zheng Yang, Keshan Liang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

By conducting static strength analysis, fatigue life prediction, strain history acquisition and time correlated damage analysis under the FE simulation circumstance, the deducted load spectrum for accelerated fatigue bench test of a special construction vehicle driving axle housing was acquired. The result of bench test shows that the deducted load spectrum can significantly reduce the test period when accurately preserve damage that the part suffering.
Query-Driven Indexing in Large-Scale Distributed Systems: Efficient query processing with distributed indexes
Authors: Gleb Skobeltsyn
Venue:  (2009)

Efficient and effective search in large-scale data repositories requires complex indexing solutions deployed on a large number of servers. Commercial Web search engines already rely upon complex systems to be able to return relevant query results and keep processing times within the comfortable sub-second limit. Nevertheless, the exponential growth of the amount of content on the Web poses serious challenges with respect to scalability. Coping with these challenges requires novel indexing solutions that not only remain scalable but also preserve the search accuracy. In this work we introduce and explore the concept of query-driven indexing - an index construction strategy that uses caching techniques to adapt to the querying patterns expressed by users. We suggest to abandon the strict difference between indexing and caching, and to build a distributed indexing structure, or a distributed cache, such that it is optimized for the current query load. Our experimental and theoretical analysis shows that employing query-driven indexing is especially beneficial when the content is (geographically) distributed in a Peer-to-Peer network. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Topic identification using Wikipedia graph centrality
Authors: Kino Coursey, Rada Mihalcea
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
Neural Networks for State Evaluation in General Game Playing
Authors: Daniel Michulke, Michael Thielscher
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown game, the agent is supposed to play well without human intervention. For this purpose, agent systems that use deterministic game tree search need to automatically construct a state value function to guide search. Successful systems of this type use evaluation functions derived solely from the game rules, thus neglecting further improvements by experience. In addition, these functions are fixed in their form and do not necessarily capture the game's real state value function. In this work we present an approach for obtaining evaluation functions on the basis of neural networks that overcomes the aforementioned problems. A network initialization extracted from the game rules ensures reasonable behavior without the need for prior training. Later training, however, can lead to significant improvements in evaluation quality, as our results indicate.
Reconstruction of Sewer Shaft Profiles from Fisheye-Lens Camera Images
Authors: Sandro Esquivel, Reinhard Koch, Heino Rehse
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

In this paper we propose a robust image and sensor based approach for automatic 3d model acquisition of sewer shafts from survey videos captured by a downward-looking fisheye-lens camera while lowering it into the shaft. Our approach is based on Structure from Motion adjusted to the constrained motion and scene, and involves shape recognition in order to obtain the geometry of the scene appropriately. The approach has been implemented and applied successfully to the practical stage as part of a commercial software.
Implications of Electronics Technology Trends for Algorithm Design1
Authors: Daniel Greenfield, Simon Moore
Venue: The Computer Journal (2009)

Scaling of electronics technology has brought us to a pivotal point in the design of computational devices. Technology scaling favours transistors over wires which has led us into an era where communication takes more time and consumes more power than the computation itself. This technology driver inevitably pushes us toward a communication-centric approach to algorithm design. To assess the efficiency of an algorithm we will need to be able to predict data movement both in time and space. We demonstrate that algorithms exhibit fractal like communication behaviour which is likely to help with such an analysis. Moreover, successfully exploiting these fractal properties will allow us to reduce communication, thereby increasing performance and power efficiency.
iTV and changing social interactions
Authors: Virpi Oksman, Antti Tammela, Tiina Mäkelä
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

In this paper, we present findings from empirical studies on end users' attitudes towards peer-to-peer (P2P) networked television. This paper sheds light on the changing trends of consumers' media usage and television watching. We aim to understand the meanings people associate with TV in their everyday lives and to discuss further how interactive TV (iTV) might change the social situations in which TV is being viewed.
Presence in the age of social networks: augmenting mediated environments with feedback on group activity
Authors: Francesco Martino, Roberto Ba&#x00f9;, Anna Spagnolli, Luciano Gamberini
Venue: Virtual Reality (2009)

The present study aimed at increasing behavioral engagement in groups of networked people by providing feedback on the group activity. Each participant logged into an on-line virtual environment for four subsequent treasure-hunting sessions along with other nine players. During the game, all players communicated dyadically through textual chats, and searched for the treasures in the virtual environment. In two conditions, the participants received a visual feedback depicting the communication activity with the group based on social network analysis indices (i.e. &#x2018;centrality&#x2019; or &#x2018;reciprocity&#x2019;). Feedback was not provided in the third condition. The underlying assumption was that if the group activity becomes more visible to the individual user through the feedback, then the behavioral engagement with the group increases. The resulting behavioral engagement was measured with two techniques, one based on the amount of messages exchanged and one based on self-reported measures. The results show that feedback improved the exchange of messages with respect to the control condition and that this effect was only partially captured by self-reported measures.
Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
Venue: ACL Workshops (2009)

NLP researchers are now building educational applications across a number of areas, including automated evaluation of student writing and speaking, rich grammatical error detection with an increasing focus on English language learning, tools to support student reading, and intelligent tutoring. This workshop is the fourth in a series, specifically related to "Building NLP Applications for Education", that began at NAACL/HLT (2003), and continued at ACL 2005 (Ann Arbor), ACL-HLT 2008 (Columbus), and now, at NAACL-HLT 2009 (Boulder). Research in this area continues to grow, and there is ever-increasing interest which was evidenced this year by the fact that we had the largest number of submissions. For this workshop, we received 25 submissions and accepted 12 papers. All of these papers are published in these proceedings. Each paper was reviewed by at least two members of the Program Committee.
Cryptanalysis of the ISDB Scrambling Algorithm (MULTI2)
Authors: Jean-Philippe Aumasson, Jorge Nakahara,  Jr., Pouyan Sepehrdad
Venue: Fast Software Encryption: 16th International Workshop, FSE 2009 Leuven, Belgium, February 22-25, 2009 Revised Selected Papers (2009)

MULTI2 is the block cipher used in the ISDB standard for scrambling digital multimedia content. MULTI2 is used in Japan to secure multimedia broadcasting, including recent applications like HDTV and mobile TV. It is the only cipher specified in the 2007 Japanese ARIB standard for conditional access systems. This paper presents a theoretical break of MULTI2 (not relevant in practice), with shortcut key recovery attacks for any number of rounds. We also describe equivalent keys and linear attacks on reduced versions with up 20 rounds (out of 32), improving on the previous 12-round attack by Matsui and Yamagishi. Practical attacks are presented on up to 16 rounds.
Estimation of place of articulation during stop closures of vowel-consonant-vowel utterances
Authors: Prem C. Pandey, Milind S. Shah
Venue: IEEE Transactions on Audio, Speech, and Language Processing (2009)

Production of vowel-oral stop consonant-vowel utterances involves movement of articulators from the articulatory position of the initial vowel towards that of the oral stop closure, and then to that of the final vowel. As the closure segments have zero or low signal energy, linear predictive coding (LPC)-based estimation of vocal tract shape fails during stop closure. This paper reports a technique for estimation of place of articulation during stop closures by performing bivariate polynomial modeling on vocal tract area values during transition segments preceding and following the closure. The technique with second-degree polynomial modeling was found to be suitable for estimating the place of maximum constriction during stop closure segments of vowel-consonant-vowel utterances with bilabial, alveolar, and velar stops. The estimated places compared well with the actual constriction locations observed from the articulatory data. The technique may be useful for improving effectiveness of speech-training aids for production of stop consonants by providing visual feedback of the estimated place of articulation.
Experience with an extensible workspace for analysis of low-level usage data
Authors: Richard C. Thomas, Amela Karahasanović
Venue: Software&mdash;Practice Experience (2009)

Analysis of low-level usage data collected in empirical studies of user interaction is well known as a demanding task. Existing techniques for data collection and analysis are either application specific or data-driven. This paper presents a workspace for data cleaning, transformation and analysis of low-level usage data that we have developed and reports our experience with it. By its five-level architecture, the workspace makes a distinction between more general data that typically can be used in initial data analysis and the data answering a specific research question. The workspace was used in four studies and in total 6.5M user actions were collected from 238 participants. The collected data have been proven to be useful for: (i) validating solution times, (ii) validating process conformances, (iii) exploratory studies on program comprehension for understanding use of classes and documents and (iv) testing hypotheses on keystroke latencies. We have found workspace creation to be demanding in time. Particularly demanding were determining the context of actions and dealing with deficiencies. However, once these processes were understood, it was easy to reuse the workspace for different experiments and to extend it to answer new research questions. Based on our experience, we give a set of guidelines that might help in setting up studies, collecting and preparing data. We recommend that designers of data collection instruments add context to each action. Furthermore, we recommend rapid iterations starting early in the process of data preparation and analysis, and covering both general and specific data. Copyright &copy; 2009 John Wiley & Sons, Ltd.
An Intrusion Detection Algorithm Based on Decision Tree Technology
Authors: Juan Wang, Qiren Yang, Dasen Ren
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Traditional intrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate, high false negative rate and so on. In this paper, C4.5 decision tree classification method is used to build an effective decision tree for intrusion detection, then convert the decision tree into rules and save them into the knowledge base of intrusion detection system. These rules are used to judge whether the new network behavior is normal or abnormal. Experiments show that: the detection accuracy rate of intrusion detection algorithm based on C4.5 decision tree is over 90%, and the process of constructing rules is easy to understand, so it is an effective method for intrusion detection.
Goal-directed site-independent recommendations from passive observations
Authors: Tingshao Zhu, Russ Greiner, Gerald Häubl, Kevin Jewell, Bob Price
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

This paper introduces a novel method to find Web pages that satisfy the user's current information need. The method infers the user's need from the content of the pages the user has visited and the actions the user has applied to these pages. Unlike content-based systems that attempt to learn a user's long-tenn interests, our system learns user-independent patterns of behavior that identify the user's current information need, based on his/her current browsing session, then uses this information to suggest specific pages intended to address this need. Our system learns these behavior patterns from labeled data collected during a five-week user study, involving over one hundred participants working on their day-today tasks. We tested this learned model in a second phase of this same study, and found that this model can effectively identify the information needs of new users as they browse previously unseen pages, and that we can use this information to help them find relevant pages.
A Feature Selection Method for Online Hybrid Data Based on Fuzzy-rough Techniques
Authors: Ye Yuling
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Data reduct based on rough set theory was an effective feature selection method, however, classic rough set theory cannot deal with hybrid data and can’t applied to online systems either. So the rough set model based on fuzzy equation relation was improved to reduct the hybrid systems. The entropy was used to measure the discernibility power of the information and the definition of relative reduct was improved, and the notion of sequential reduct was proposed to deal with real online systems. A complete algorithm was proposed and applied to several UCI data. Experiments show that sequential reduct algorithm is an effective feature selection method for real online systems. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Fine Partitioning of 2-connected Components Using Fiedler Vector
Authors: Jiri Dvorsky, Vaclav Snasel
Venue: Proceedings of the 2009 International Workshop on Social Informatics (2009)

In this paper we propose usage of 2-connected components as coarse granulity partition and spectral partitioning method as a fine partitioning of selected components.
Electric Financial Safety System Construction under the Background of Information Technology Development
Authors: Cuifeng Huo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

The biggest character of Internet is being open, however it happens to contradict the secrecy needed by E-commerce and electric finance activities. Hereby the safety of a transaction is the key point of electric finance activities. Through the establishment of an effective safe transaction system, the safety control requests of information transmission process concerning validity, confidentiality, integrality, being undeniable, etc. The safety protection techniques in electric finance activities mainly comprise firewall technique, various kinds of safety authentication technique, encryption technique as well as safety standard and agreement, etc.