ppxscal/embedding_network huggingface dataset:
Node Throughput Analysis of Decentralized Wireless Networks Using Multibeam Antennas in Multipath Environments
Authors: Xin Li, Yimin Zhang, Moeness G. Amin
Venue: Wireless Personal Communications: An International Journal (2009)

The use of multibeam antennas (MBAs) in decentralized wireless networks significantly increases the throughput by improving spatial reuse and extending coverage compared with single-beam antennas. The throughput performance may, however, degrade in multipath environments due to the fact that multipath propagation increases the probability of collision among different users. Based on the probability of collision, accurate analytical expressions are derived for the node throughput gain (NTG) of a wireless network using MBAs in quasi-stationary multipath environments. The results show that a higher number of propagation paths cause more frequent collisions and thus yield lower node throughput.
A Mobile Communication System Designed for the Hearing-Impaired
Authors: Ji-Won Song, Sung-Ho Yang
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

This is a case study of the design of a communication system and its interfaces aimed at addressing the communication needs of the hearing-impaired. The design work is based on an in-depth investigation of the problems pertaining to mobile phone usage and general conversation difficulties of Korean deaf people. It was determined from this investigation that the technology-related issues of the hearing impaired are not limited to usability or accessibility, but arise from hindered executive actions and differing executive behaviors for achieving communication goals at varying levels of ability. Therefore the design study has developed a new approach to the unique communication needs of the hearing-impaired, as well as their behavioral patterns, and presents possible overall improvements in face-to-face and distance communication through mobile technology.
Diagnosing faults in electrical power systems of spacecraft and aircraft
Authors: Ole J. Mengshoel, Adnan Darwiche, Keith Cascio, Mark Chavira, Scott Poll, Serdar Uckun
Venue: Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3 (2008)

Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system testbed, ADAPT, using prohabilistic techniques. In the context of ADAPT, we present two challenges, regarding modelling and real-time performance, often encountered in real-world diagnostic applications. To meet the modelling challenge, we discuss our novel high-level specification language which supports autogeneration of Bayesian networks. To meet the real-time challenge, we compile Bayesian networks into arithmetic circuits. Arithmetic circuits typically have small footprints and are optimized for the real-time avionics systems found in spacecraft and aircraft. Using our approach, we present how Bayesian networks with over 400 nodes are auto-generated and then compiled into arithmetic circuits. Using real-world data from ADAPT as well as simulated data, we obtain average inference times smaller than one millisecond when computing diagnostic queries using arithmetic circuits that model our real-world electrical power system.
Genetic Diversity and Differentiation of Fenneropenaeus Penicillatus Populations by Allozyme Analyses
Authors: Guiling Zhang, Yuanyu Cao, Zhongbao Li, Jin Chen, Binli Zhao, Guanggao Lei, Zhanlin Wang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Genetic diversity was investigated using assay of vertical slab ployacrylamide gel electrophoresis for the nine populations of Fenneropenaeus penicillatus. The results showed high levels of genetic diversity in each of the nine F. penicillatus populations. The mean number of alleles per locus ranged from 1.3333 to 1.6667, with a average of 1.4148. And the mean effective number of alleles per locus ranged from 1.1447 to 1.2094, with a average of 1.1664. The average of percentage of polymorphic loci was 26.67%, ranging from 13.33% to 40.00%. The average of observed heterozygosity was 0.1380, ranging from 0.1311 to 0.1511, and the average of expected heterozygositywas 0.0866, ranging from 0.0720 to 0.1023. The coefficient of gene differentiation among populations is low, indicating that only 2.09% of the total genetic diversity comes from inter-population, while the remaining 97.91% comes from intra-population differences. The genetic distance among populations is 0.0002～0.0049 and gene flow among the populations is large. The results suggest that genetic structure is very similar among the nine F. penicillatus populations studied.
Do You Trust Your Phone?
Authors: Aniello Castiglione, Roberto Prisco, Alfredo Santis
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

Despite the promising start, Electronic Commerce has not taken off mostly because of security issues with the communication infrastructures that are popping up threateningly undermining the perceived trustworthiness in Electronic Commerce.Some Internet security issues, like malware, phishing, pharming are well known to the Internet community. Such issues are being, however, transferred to the telephone networks thanks to the symbiotic relation between the two worlds. Such an interconnection is becoming so pervasive that we can really start thinking about a unique network, which, in this paper, we refer to as the Interphonet.The main goal of this paper is to analyze some of the Internet security issues that are being transferred to the Interphonet and also to identify new security issues of the Interphonet. In particular we will discuss about mobile phones malware and identity theft, phishing with SMS, telephone pharming, untraceability of phone calls that use VoIP and Caller ID spoofing. We will also briefly discuss about countermeasures.
Design Patterns for User Interfaces on Mobile Equipment
Authors: Erik G. Nilsson
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

The objective of this tutorial is to enhance the participants' skills in designing user interfaces for mobile equipment, including adaptive and context sensitive user interfaces and multimodal interaction. Through a combination of lectures and practical exercises, a collection of patterns addressing issues regarding designing user interfaces on mobile devices is presented. The patterns address typical challenges and opportunities when designing user interfaces that are to run on PDAs and SmartPhones --- both challenges connected to characteristics of the equipment and connected to tasks to which designing suitable user interfaces is challenging. The tutorial is intended for user interface designer, systems developers, and project leaders that work with or plan to work on development of applications on mobile devices. The tutorial requires basic knowledge of user interface design in general, and basic understanding of challenges connected to designing user interfaces on mobile devices.
A numerical approach for a semilinear parabolic equation with a nonlocal boundary condition
Authors: Marián Slodička, Sofiane Dehilis
Venue: Journal of Computational and Applied Mathematics (2009)

A semilinear reaction-diffusion problem with a nonlocal boundary condition is studied. This paper presents a new and very easy implementable numerical algorithm for computations. This is based on a suitable linearization in time and on the principle of linear superposition. Any method for the space discretization (FEM was taken in this analysis) can be chosen. The derived algorithm is implicit and it does not need any iteration scheme to get a solution with the nonlocal boundary condition. Stability analysis has been performed and the optimal error estimates have been derived. Numerical results have been compared with other known techniques.
A Novel Gaussian Kernel Function for Minimax Probability Machine
Authors: Xiangyang Mu, Yatong Zhou
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

In recent years there is a growing interest around minimax probability machine (MPM) whose performance depends on its kernel function. Considering that the Euclidean distance has a natural generalization in form of the Minkovsky’s distance, we replace the Euclidean distance in the Gaussian kernel with a more generalized Minkovsky’s distance. This paper presents an empirical study for MPM prediction on Minkovsky’s norm. The performance of this method is evaluated with the prediction of network traffic data for MPEG4, at the same timescale. Experimental results demonstrate that the best prediction accuracy is provided by kernels with Minkovsky’s distance and.the MPM using Gaussian kernels with Minkovsky’s distance can achieve better prediction accuracy than the Euclidean distance.
GNetIc --- Using Bayesian Decision Networks for Iconic Gesture Generation
Authors: Kirsten Bergmann, Stefan Kopp
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

Expressing spatial information with iconic gestures is abundant in human communication and requires to transform a referent representation into resembling gestural form. This task is challenging as the mapping is determined by the visuo-spatial features of the referent, the overall discourse context as well as concomitant speech, and its outcome varies considerably across different speakers. We present a framework, GNetIc, that combines data-driven with model-based techniques to model the generation of iconic gestures with Bayesian decision networks. Drawing on extensive empirical data, we discuss how this method allows for simulating speaker-specific vs. speaker-independent gesture production. Modeling results from a prototype implementation are presented and evaluated.
The Robot Scientist Adam
Authors: Ross D. King, Jem Rowland, Wayne Aubrey, Maria Liakata, Magdalena Markham, Larisa N. Soldatova, Ken E. Whelan, Amanda Clare, Mike Young, Andrew Sparkes, Stephen G. Oliver, Pinar Pir
Venue: Computer (2009)

Despite science's great intellectual prestige, developing robot scientists will probably be simpler than developing general AI systems because there is no essential need to take into account the social milieu.
Context-aware service engineering: A survey
Authors: Georgia M. Kapitsaki, George N. Prezerakos, Nikolaos D. Tselikas, Iakovos S. Venieris
Venue: Journal of Systems and Software (2009)

Context constitutes an essential part of service behaviour, especially when interaction with end-users is involved. As observed from the literature, context handling in service engineering has been during recent years a field of intense research, which has produced several interesting approaches. In this paper, we present research efforts that attempt mainly to decouple context handling from the service logic. We enumerate all context management categories, but focus on the most appropriate for service engineering, namely source code level, model-driven and message interception, taking also into account the fact that these have not been dealt with in detail in other surveys. A representative example is used to illustrate more precisely how these approaches can be used. Finally, all three categories are compared based on a number of criteria.
How Do Place and Objects Combine? "What-Where" Memory for Human-Like Agents
Authors: Cyril Brom, Tomáš Korenko, Jiří Lukavský
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

Believable spatial behaviour is important for intelligent virtual agents acting in human-like environments, such as buildings or cities. Existing models of spatial cognition and memory for these agents are predominantly aimed at issues of navigation and learning of topology of the environment. The issue of representing information about possible objects' locations in a familiar environment, information that can evolve over long periods, has not been sufficiently studied. Here, we present a novel representation for "what-where" information: memory for locations of objects. We investigate how this representation is formed and how it evolves using a simplified model of a virtual character. The behaviour of the model is also compared with behaviour of real humans conducting an analogical task.
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints
Authors: Ian Walsh, Alessandro Vullo, Gianluca Pollastri
Venue: Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (2009)

Accurately predicting the endpoints of chemical compounds is an important step towards drug design and molecular screening in particular.Here we develop a recursive architecture that is capable of mapping Undirected Graphs into individual labels, and apply it to the prediction of a number of different properties of small molecules. The results we obtain are generally state-of-the-art.The final model is completely general and may be applied not only to prediction of molecular properties, but to a vast range of problems in which the input is a graph and the output is either a single property or (with small modifications) a set of properties of the nodes.
Statistical Properties of the Delivery Rate for Single-Sink and Multiple-Sink Sensor Networks
Authors: Marco Zuniga, Manfred Hauswirth, Yang Yang
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

In wireless sensor network applications where each node sends a packet to a sink, the stochastic nature of the link affects the delivery rate (total number of packets delivered at the sink).Based on a simple analytical model, we study the statistical properties of the delivery rate for scenarios without link or transport layer retransmission (best-effort routing). For these best-effort scenarios, we derive bounds for the expectation and variance of the delivery rate for single-sink and multiple-sink architectures. Our analytical findings are further validated through simulations using a realistic link-layer model.
Situational language training for hotel receptionists
Authors: Frédérique Segond, Thibault Parmentier, Roberta Stock, Ran Rosner, Mariola Usteran Muela
Venue: Proceedings of the second workshop on Building Educational Applications Using NLP (2005)

This paper presents the lessons learned in experimenting with Thetis, an EC project focusing on the creation and localization of enhanced on-line pedagogical content for language learning in tourism industry. It is based on a general innovative approach to language learning that allows employees to acquire practical oral and written skills while navigating a relevant professional scenario. The approach is enabled by an underlying platform (EXILLS) that integrates virtual reality with a set of linguistic, technologies to create a new form of dynamic, extensible, goal-directed e-content.
The Spanish resource grammar: pre-processing strategy and lexical acquisition
Authors: Montserrat Marimon, Núria Bel, Sergio Espeja, Natalia Seghezzi
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

This paper describes work on the development of an open-source HPSG grammar for Spanish implemented within the LKB system. Following a brief description of the main features of the grammar, we present our approach for pre-processing and ongoing research on automatic lexical acquisition.
A wide dynamic range CMOS image sensor with pulse-frequency-modulation and in-pixel amplification
Authors: Yong Chen, Fei Yuan, Gul Khan
Venue: Microelectronics Journal (2009)

This paper briefly examines the pros and cons of CMOS pulse-frequency-modulation (PFM) digital pixel sensors. A pulse-frequency-modulation digital pixel sensor with in-pixel amplification is proposed to improve the resolution of the pixel sensor at low illumination. The proposed PFM digital pixel sensor offers the characteristics of a reduced integration time when the level of illumination is low with the fill factor comparable to that of PFM digital pixel sensors without in-pixel amplification. The proposed digital image sensor has been designed in TSMC-0.18@mm 1.8V CMOS technology and validated using Spectre from Cadence Design Systems with BSIM3V3 device models. Simulation results demonstrate that the dynamic range of the proposed PFM digital pixel sensor with in-pixel amplification is 20dB larger as compared with that of PFM digital pixel sensors without in-pixel amplification. The increased dynamic range is obtained in the low illumination condition where PFM digital pixel sensors without in-pixel amplification cease the operation due to the low photo current.
Open questions on unified approach for calibration of oscillometric blood pressure measurement devices
Authors: E. Balestrieri, P. Daponte, S. Rapuano
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

Most of automatic blood pressure measurement devices on the market implement an oscillometric method. The paper highlights the need for standardized calibration procedures for these devices in order to reduce logistical difficulties, time-consuming processes and high costs involved in clinical validations. A critical overview of researchers' and manufacturers' proposals to answer this need is presented as a contribution to the IEEE P1721 project for a new standard on Objective Measurement of Systemic Arterial Blood Pressure in Humans.
Computing Loops with at Most One External Support Rule for Disjunctive Logic Programs
Authors: Xiaoping Chen, Jianmin Ji, Fangzhen Lin
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

We extend to disjunctive logic programs our previous work on computing loop formulas of loops with at most one external support. We show that for these logic programs, loop formulas of loops with no external support can be computed in polynomial time, and if the given program has no constraints, an iterative procedure based on these formulas, the program completion, and unit propagation computes the least fixed point of a simplification operator used by DLV. We also relate loops with no external supports to the unfounded sets and the well-founded semantics of disjunctive logic programs by Wang and Zhou. However, the problem of computing loop formulas of loops with at most one external support rule is NP-hard for disjunctive logic programs. We thus propose a polynomial algorithm for computing some of these loop formulas, and show experimentally that this polynomial approximation algorithm can be effective in practice.
1V CMOS Gm-C Filters: Design and Applications, 1st edition
Authors: Tien-Yu Lo, Chung-Chih Hung
Venue: Analog Circuits And Signal Processing (2009)

1V CMOS Gm-C Filters: Design and Applications discusses the design aspects of transconductor and Gm-C filter circuits, with a special focus on 1V circuit implementations. The emphasis is on high linearity voltage-to-current blocks for wireless and wireline applications, and the designs cover up to very high speed specifications. 1V CMOS Gm-C Filters: Design and Applications provides a clear introduction of low voltage architectures and yields insight into the influence of circuit non-idealities. The fully CMOS implementation could be useful for wireless and wireline applications. The basic design concepts can be easily constructed through the illustration of this book. This book can be provided for engineers and researchers who are interested in the transconductor and Gm-C filter. It is also a good reference for the course related to analog integrated circuit design.
A Last-Resort Semantic Cache for Web Queries
Authors: Flavio Ferrarotti, Mauricio Marin, Marcelo Mendoza
Venue: Proceedings of the 16th International Symposium on String Processing and Information Retrieval (2009)

We propose a method to evaluate queries using a last-resort semantic cache in a distributed Web search engine. The cache stores a group of frequent queries and for each of these queries it keeps minimal data, that is, the list of machines that produced their answers. The method for evaluating the queries uses the inverse frequency of the terms in the queries stored in the cache (Idf) to determine when the results recovered from the cache are a good approximation to the exact answer set. Experiments show that the method is effective and efficient.
The Boids and the Bees: Guiding Adaptation to Improve our Health, Healthcare, Schools, and Society
Authors: Alonzo H. Jones, Jerry Bozeman
Venue:  (2009)

We are confronted with problems in virtually all of our major systems. Einstein said that "we cannot solve our problems on the same level of thinking we were on when we created them." We believe a fundamental fault underlying all these problems is the way we look at them. Our traditional method has been to analyze the system as if it were a machine to find the faulty elements and to fix them. We have done this with ailing ecosystems long enough to know that it doesn't work well. If it doesn't work here because of the complexity of the system how can we expect it to work on us or other equally, if not more, complex living systems? We are not machines. We can adapt and create in novel ways. In The Boids and the Bees we, and other living systems, are seen as the complex and adaptive systems that we (they) are, which leads to a perceptual revolution: - We are fighting a war with bacteria that we can't win. Seeing bacteria as adapting agents allows us to see how they adapt and opens other doors to end the war; - Patients that are informed and empowered can lead our health care system to focus on prevention and health rather than illness and profits; - Learning has been analyzed in the laboratory. Now we use the results of this analysis to teach our children; they become the lab-rats in the classroom. Seeing them as adaptive agents is the first step in correcting this dehumanizing error. How we adapt today will determine our tomorrows; and they can be optimized.
UCB: system description for SemEval task #4
Authors: Preslav I. Nakov, Marti A. Hearst
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

The UC Berkeley team participated in the SemEval 2007 Task #4, with an approach that leverages the vast size of the Web in order to build lexically-specific features. The idea is to determine which verbs, prepositions, and conjunctions are used in sentences containing a target word pair, and to compare those to features extracted for other word pairs in order to determine which are most similar. By combining these Web features with words from the sentence context, our team was able to achieve the best results for systems of category C and third best for systems of category A.