ppxscal/embedding_network huggingface dataset:
The Complex Dynamics of Sponsored Search Markets
Authors: Valentin Robu, Han Poutré, Sander Bohte
Venue: Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers (2009)

This paper provides a comprehensive study of the structure and dynamics of online advertising markets, mostly based on techniques from the emergent discipline of complex systems analysis. First, we look at how the display rank of a URL link influences its click frequency, for both sponsored search and organic search. Second, we study the market structure that emerges from these queries, especially the market share distribution of different advertisers. We show that the sponsored search market is highly concentrated, with less than 5% of all advertisers receiving over 2/3 of the clicks in the market. Furthermore, we show that both the number of ad impressions and the number of clicks follow power law distributions of approximately the same coefficient. However, we find this result does not hold when studying the same distribution of clicks per rank position, which shows considerable variance, most likely due to the way advertisers divide their budget on different keywords. Finally, we turn our attention to how such sponsored search data could be used to provide decision support tools for bidding for combinations of keywords. We provide a method to visualize keywords of interest in graphical form, as well as a method to partition these graphs to obtain desirable subsets of search terms.
Rectangular wave excitation in wideband bioimpedance spectroscopy
Authors: Mart Min, Toivo Paavle, Paul Annus, Raul Land
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

Method of time domain impedance spectroscopy using of rectangular wave chirp excitation is presented in the paper. Effectiveness of the excitation is high - more than 85% of the generated energy lies in the useful excitation bandwidth, which can cover several decades of frequency. Fast measurement and joint time-frequency analysis of dynamic impedances is envisaged. Implementations in impedance spectroscopy for cell detection and characterizing in different lab-on-a-chip type high-throughput microfluidic devices can be one recommended area for the proposed method. This method offers important diagnostic information about the dynamic and structural properties of biological cells, organs like beating heart, and the whole cardiovascular system.
A Compressed Enhanced Suffix Array Supporting Fast String Matching
Authors: Enno Ohlebusch, Simon Gog
Venue: Proceedings of the 16th International Symposium on String Processing and Information Retrieval (2009)

Index structures like the suffix tree or the suffix array are of utmost importance in stringology, most notably in exact string matching. In the last decade, research on compressed index structures has flourished because the main problem in many applications is the space consumption of the index. It is possible to simulate the matching of a pattern against a suffix tree on an enhanced suffix array by using range minimum queries or the so-called child table. In this paper, we show that the Super-Cartesian tree of the LCP-array (with which the suffix array is enhanced) very naturally explains the child table. More important, however, is the fact that the balanced parentheses representation of this tree constitutes a very natural compressed form of the child table which admits to locate all occ occurrences of pattern P of length m in O(m log|Σ| + occ) time, where Σ is the underlying alphabet. Our compressed child table uses less space than previous solutions to the problem. An implementation is available.
Comparison between tagged corpora for the named entity task
Authors: Chikashi Nobata, Nigel Collier, Jun'ichi Tsujii
Venue: Proceedings of the Workshop on Comparing Corpora (2000)

We present two measures for comparing corpora based on information theory statistics such as gain ratio as well as simple term-class frequency counts. We tested the predictions made by these measures about corpus difficulty in two domains --- news and molecular biology --- using the result of two well-used paradigms for NE, decision trees and HMMs and found that gain ratio was the more reliable predictor.
Compatible and Usable Mandatory Access Control for Good-enough OS Security
Authors: Zhiyong Shan
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

OS compromise is one of the most serious computer security problems today, but still not being resolved. Although people proposed different kinds of methods, they could not be accepted by most users who are non-expert due to the lack of compatibility and usability. In this paper, we introduce a kind of new mandatory access control model, named CUMAC, that aims to achieve good-enough security, high compatibility and usability. It has two novel features. One is access control based on tracing potential intrusion that can reduce false negatives and facilitate security configuration, in order to improve both compatibility and usability; the other is automatically figuring out all of the compatibility exceptions that usually incurs incompatible problems. The experiments performed on the prototype show that CUMAC can defense attacks from network, mobile disk and local untrustable users while keeping good compatibility and usability.
Transport Layer Multipath on Wireless Sensor Network Backhaul Links
Authors: Nikolas Stephan, Socrates Varakliotis, Peter Kirstein
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

With the increasing popularity of wireless sensor networks in hostile environments it would be desirable to have more reliable ways of delivering collected information to its destination. With a common scenario involving nodes in a sensor network relaying data back to a gateway or router device, which is connected to a backhaul network, the question arises whether this single point of failure could not be improved, especially in those cases where mobile networks are involved (e.g. Personal or Vehicle Area Networks). This paper demonstrates how this single point of failure can be improved upon in regards to network failures. The suggested novel approach consists of bundling multiple connections at the transport layer on the gateway to improve the reliability by employing redundancy. It also has a number of further advantages such as helping to reduce the delay in sensor network mobility scenarios by cutting back on handover delays and offering alternate paths for retransmissions. In the past, multipath research in wireless sensor networks has largely focused on the data link, or network layer. We endeavour to show that there are also reasons to employ it at the transport layer in certain situations.
Lattice parsing to integrate speech recognition and rule-based machine translation
Authors: Selçuk Köprü, Adnan Yazici
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, we present a novel approach to integrate speech recognition and rule-based machine translation by lattice parsing. The presented approach is hybrid in two senses. First, it combines structural and statistical methods for language modeling task. Second, it employs a chart parser which utilizes manually created syntax rules in addition to scores obtained after statistical processing during speech recognition. The employed chart parser is a unification-based active chart parser. It can parse word graphs by using a mixed strategy instead of being bottom-up or top-down only. The results are reported based on word error rate on the NIST HUB-1 word-lattices. The presented approach is implemented and compared with other syntactic language modeling techniques.
Using a neural network for predicting the average grain size in friction stir welding processes
Authors: Livan Fratini, Gianluca Buffa, Dina Palmeri
Venue: Computers and Structures (2009)

In the paper the microstructural phenomena in terms of average grain size occurring in friction stir welding (FSW) processes are focused. A neural network was linked to a finite element model (FEM) of the process to predict the average grain size values. The utilized net was trained starting from experimental data and numerical results of butt joints and then tested on further butt, lap and T-joints. The obtained results show the capability of the AI technique in conjunction with the FE tool to predict the final microstructure in the FSW joints.
Virtual redlining for civil engineering in real environments
Authors: Gerhard Schall, Erick Mendez, Dieter Schmalstieg
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Field workers of utility companies are regularly engaged in outdoor tasks such as network planning and inspection of underground infrastructure. Redlining is the term used for manually annotating either printed paper maps or a 2D geographic information system on a notebook computer taken to the field. Either of these approaches requires finding the physical location to be annotated on the physical or digital map. In this paper, we describe a mobile Augmented Reality (AR) system capable of supporting virtual redlining. The AR visualization delivered by the system is constructed from data directly extracted from a GIS used in day-to-day production by utility companies. We also report on encouraging trials and interviews performed with professional field workers from the utility sector.
The Working Operation Problem on Triple-stranded DNA Structure Model
Authors: Jing Yang, Zhi-xiang Yin, Kai-feng Huang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

After Adleman’s paper published in 1994, a few of scholars solved some noted NP-complete problems on DNA computing. And all these methods of DNA computing are based on conventional Watson-Crick hydrogen bond of double-helical DNA molecule. Here we show that triple-stranded DNA structure mediated by RecA protein can be used for solving working operation problem. During the computation,sequence-specific recognition of double-stranded DNA by homologous deoxyoligonucleotides was fulfilled in the presence of. Triple-stranded DNA were separated and the desirable double-stranded DNA strands were retained and extracted, after adsorbed by the magnetic particles coated with streptavidin. It is suggested that the methods used may decrease the errors in DNA computation and be adopted to solve several problems in graph and combinatorial optimization.
Incremental algorithms for approximate compilation
Authors: Alberto Venturini, Gregory Provan
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

Compilation is an important approach to a range of inference problems, since it enables linear-time inference in the size S of the compiled representation. However, the main drawback is that S can be exponentially larger than the size of the original function. To address this issue, we propose an incremental, approximate compilation technique that guarantees a sound and space-bounded compilation for weighted boolean functions, at the expense of query completeness. In particular, our approach selectively compiles all solutions exceeding a particular threshold, given a range of weighting functions, without having to perform inference over the full solution-space. We describe incremental, approximate algorithms for the prime implicant and DNNF compilation languages, and provide empirical evidence that these algorithms enable space reductions of several orders-of-magnitude over the full compilation, while losing relatively little query completeness.
Multi-Carrier Systems & Solutions 2009: Proceedings from the 7th International Workshop on Multi-Carrier Systems & Solutions, May 2009, Herrsching, Germany, 1st edition
Authors: Simon Plass, Simon Plass, Armin Dammann, Stefan Kaiser, Khaled Fazel
Venue:  (2009)

The wireless standards 3GPP Long Term Evolution (LTE), WiMAX, IEEE 802.11a/n, and DxB have in common that they apply the spectrally efficient multi-carrier modulation in order to achieve very high rate data transmission. This trend is expected to continue in the future with the development of the next generation of mobile wireless communications under the IMT-Advanced standardization activities. Additional measures like advanced coding, spreading, and MIMO are combined with multi-carrier transmission to further enhance the efficiency of future systems. The aim of Multi-Carrier Systems & Solutions 2009 is to edit the ensemble of the newest contributions and research results in this field that have been presented during the 7th International Workshop on Multi-Carrier Systems & Solutions (MC-SS 2009), held in Herrsching, Germany.
HPRP: Hierarchical Probabilistic Routing Protocol for Wireless Mesh Network
Authors: Rui Zhang
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Because of the instability of link quality, traditional network routing protocols, which are mainly based on the condition of "Best Path", can not work very well over wireless mesh networks. Forwarding packets along the "Best Path" may also induce load imbalance among nodes. This paper presents a novel routing protocol named HPRP (Hierarchical Probabilistic Routing Protocol) for wireless mesh networks, which introduces the concept of probabilistic routing for the first time. HPRP doesn’t choose a fixed path, but probabilistically selects next hop for a single packet according to the wireless link loss at that instant. The forwarding probability which is periodically updated makes links with lower loss rates have more chance to be selected. In this way, HPRP can efficiently mitigate the impact of high loss rates, balance the load of nodes and improve the throughput of the network. Simulation results show that HPRP has lower packet delay than the Hyacinth routing protocol, while achieving higher delivery ratio under the circumstances of various services.
Multi-Tier Security Feature Modeling for Service-Oriented Application Integration
Authors: Fengyu Zhao, Xin Peng, Wenyun Zhao
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

In Service oriented architecture (SOA) environment, the communication and infrastructure security is crucial. The most important specification addressing web services security is WS-Security, which collaborates with the SOAP message specifications, providing integrity, confidentiality and authentication for web services. However, WS-Security focuses SOAP message security between trusted partners. In SOA applications, there are other vulnerabilities which can be exploited to attack by anonymous customer or even trusted partners, and these vulnerabilities do not gain enough attention as WS-Security. Among them, Denial-of-Service (DoS) is one attack cluster, which exhausts computer and network resources and reduces the availability of web services. Another one is sensitive data leakage in a specific application domain. In this paper, the security of SOA applications is viewed as the security domain and a three-tier domain was divided based on security domain analysis. For each security sub-domain, security requirement scenario and requirements are presented. The security domain models were given which can be used to build up security services for sub-domain. Based on security model and security service assets, which can evolve along with understanding on security domain, the developers can establish the security implementation for SOA application integration.
Novel Stretchable Textile-Based Transmission Bands: Electrical Performance and Appearance after Abrasion/Laundering, and Wearability
Authors: Yoonjung Yang, Gilsoo Cho
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

In this paper, we (1) compare the electrical performances and appearance changes of two textile-based transmission bands after repeated abrasion and laundering, and (2) evaluate their wearability with MP3 player jackets. The bands were made with non-stretchable Teflon-coated stainless steel yarns, or stretchable silicon-coated stainless steel yarns and spandex. The electrical resistance of the bands after repeated abrasion and laundering was measured with a RCL (resistance capacitance inductance) meter. The appearance changes were observed using a digital microscope. For wear tests, five subjects evaluated the degree of convenience while doing specific actions and other wear sensations using questionnaires with a 7-point Likert-type scale. Both non-stretchable and stretchable transmission bands were evaluated as excellent on electrical performances. Appearance changes after abrasion were tolerable, and there were neither exposure nor disconnection of stainless steel yarns. Convenience and other wear sensations for the MP3 player jacket using stretchable silicon-coated bands were evaluated as better than non-stretchable Teflon-coated bands.
Analysis & Design of Control Systems using MATLAB
Authors: R. V. Dukkipati
Venue:  (2009)

KEY FEATURES:-Step by step explanations guide through the complex material involving a diverse variety of concepts. -Proper allocation and extensive use and application of MATLAB. -Detailed illustrations of solution methods save a lot of time and effort in understanding problems and theoretical concepts. ABOUT THE BOOK: The book Analysis and Design of Control Systems using MATLAB, is designed as a supplement to an introductory course in feedback control systems for undergraduate or graduate engineering students of all disciplines. Feedback control systems engineering is a multidisciplinary subject and presents a control engineering methodology based on mathematical fundamentals and stresses physical system modeling. This book includes the coverage of classical methods of control systems engineering: introduction to control systems, matrix analysis, Laplace transforms, mathematical modeling of dynamic systems, control system representation, performance and stability of feedback systems, analysis and design of feedback control systems, state space analysis and design, MATLAB basics and MATLAB tutorial. The numerous worked examples offer detailed explanations, and guide the students through each set of problems to enable them to save a great deal of time and effort in arriving at an understanding of problems in this subject. Extensive references to guide the students to further sources of information on control systems and MATLAB is provided. In addition to students, practising engineers will also find this book immensely useful. ABOUT THE AUTHOR(S): Dr Rao V Dukkipati Ph.D., PE is Professor, Chair and Graduate Program Director of the Mechanical Engineering Department at Fairfield University, Connecticut, USA. He also serves as an adjunct professor in the Mechanical Engineering Department at Concordia University, Montreal, Canada. He took his Doctorate degree from Oklahoma State University, Stillwater, USA in 1973. His specialized areas of teaching and research include mechanical design, mechanics, vibrations, control systems, economy and reliability, quality control improvement and management, vehicle dynamics and accident reconstruction. He has to his credit over 300 technical papers and 38 books. He is fellow member of ASME and CSME and holds professional membership of seven national and international associations. 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
Interdependency Analysis in Electric Power Systems
Authors: Silvano Chiaradonna, Felicita Giandomenico, Paolo Lollini
Venue: Critical Information Infrastructure Security: Third International Workshop, CRITIS 2008, Rome, Italy, October13-15, 2008. Revised Papers (2009)

Electric Power Systems (EPS) are composed by two interdependent infrastructures: Electric Infrastructure (EI) and its Information-Technology based Control System (ITCS), which controls and manages EI. In this paper we address the interdependency analysis in EPS focusing on the cyber interdependencies between ITCS and EI, aiming to evaluate their impact on blackouts-related indicators. The obtained results contribute to better understand the EPS vulnerabilities, and are expected to provide useful guidelines towards enhanced design choices for EPS protection at architectural level.
Short-Term Traffic Flow Prediction Based on Parallel Quasi-Newton Neural Network
Authors: Guozhen Tan, Huimin Shi, Fan Wang, Chao Deng
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Identifying and predicting the situation of traffic flow play an important role in traveler information broadcast and real-time traffic control. In this paper, a short-term traffic flow prediction model based on the parallel self-scaling quasi-Newton (SSPQN) neural network is presented. In this method, a set of parallel search directions are generated at the beginning of each iteration. Each of these directions is selectively chosen from a representative class of quasi-Newton (QN) methods. Inexact line searches are then carried out to estimate the minimum point along each search direction. Experimental and analytical results demonstrate the feasibility of applying SSPQN to traffic flow prediction and prove that it can better satisfy real-time demand of traffic flow prediction.
Analogical learning of visual/conceptual relationships in sketches
Authors: Kenneth D. Forbus, Jeffrey Usher, Emmett Tomai
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

This paper explores the use of analogy to learn about properties of sketches. Sketches often convey conceptual relationships between entities via the visual relationships between their depictions in the sketch. Understanding these conventions is an important part of adapting to a user. This paper describes how learning by accumulating examples can be used to make suggestions about such relationships in new sketches. We describe how sketches are being used in Companion Cognitive Systems to illustrate one context in which this problem arises. We describe how existing cognitive simulations of analogical matching and retrieval are used to generate suggestions for new sketches based on analogies with prior sketches. Two experiments provide evidence as to the accuracy and coverage of this technique.
Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections
Authors: Elpiniki I. Papageorgiou, Nikolaos Papandrianos, Georgia Karagianni, G. Kyriazopoulos, D. Sfyras
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

The decision making problem of predicting infectious diseases is a complex process, because of the numerous elements/parameters (such as symptoms, signs, physical examination, laboratory tests, cultures, chest x-rays, e.t.c.) involved in its operation, and a permanent attention is demanded. The knowledge of physicians according to the physical examination and clinical measurements is the main point to succeed a diagnosis and monitor patient status. In this paper, the Fuzzy Cognitive Mapping approach is investigating to handle with the problem of pulmonary infections during the patient admission into the hospital or in Intensive Care Unit (ICU). This is the first step in the development of a decision support system for the process of infectious diseases prediction.