ppxscal/embedding_network huggingface dataset:
Diffusion of mobile telephony: An empirical study in Taiwan
Authors: Wen-Lin Chu, Feng-Shang Wu, Kai-Sheng Kao, David C. Yen
Venue: Telecommunications Policy (2009)

Mobile telephony penetration is a major indicator of mobile telephony diffusion. Taiwan had a mobile telephony penetration of 108% in 2002, ranking first in the world. This study analyzes this accelerated diffusion in terms of growth model and determinants of the diffusion rate. To eliminate the inherent uncertainty associated with choosing the optimal growth model, this study compares the performance of three conventional models, namely Gompertz, Logistic and Bass, to identify the most appropriate model, and to distinguish the forces driving the diffusion rate. Empirical results indicate that the most appropriate model is the Logistic model. Network externalities, which this study shows to be the same as the imitation effect in the Bass model, explain the superiority of the Logistic model. Moreover, market competition, which markedly reduces service prices, is identified as a primary driver of the diffusion rate of mobile telephony in Taiwan. Economic conditions, technological innovation and number of operators are insignificant factors. Finally, mobile telephony is a substitute for fixed-line telephony in Taiwan.
Agricultural Monitoring Based on Wireless Sensor Network Technology: Real Long Life Deployments for Physiology and Pathogens Control
Authors: Luca Bencini, Francesco Chiti, Giovanni Collodi, Davide Di Palma, Romano Fantacci, Antonio Manes, Gianfranco Manes
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

Today Wireless Sensor Network are used into an increasing number of commercial solutions, aimed at implementing distributed monitoring and control system in a great number of different application area. In particular the agricultural scenario seems to be one of the most promising application area for WSN due to the necessity of proving the agricultural production chain in terms of precision and quality. This involves a careful system design, since requirements are very strict: battery life-time maximization,robustness, recovery strategies, network flexibility and reconfigurability. This paper shows and describes a practical case study, starting from a real problem and reaching the best architectural solution, with particular focus on the hardware implementation and communication protocol design. A real end-to-end solution has been implemented: several wireless nodes send environmental data every 15 minutes to a master node connected to a GPRS gateway board that forwards data to a remote server using TCP-IP standard protocol. The encouraging and unprecedented results achieved by this approach are supported by several pilot sites into different vineyard in Italy and in France, within which a great amount of environmental data have been collected and analyzed since two years and half.
Non-intrusive Human Behavior Monitoring Sensor for Health Care System
Authors: Noriyuki Kushiro, Makoto Katsukura, Masanori Nakata, Yoshiaki Ito
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

This paper presents a non-intrusive human behavior-monitoring sensor for health care system, especially for elderly person. The sensor detects operation of appliances with thorn like peak of electrical current generated by their working, and identifies patterns of daily residents' behavior based on the correlation of operating appliances. The sensor reduces the system cost by avoiding installation of massive sensors and keeps residents' privacy without intrusion of their private space. The human behavior-monitoring sensor is implemented by utilizing an algorithm with a wavelet transform method and is installed in five real residences for a couple of weeks. Accuracy of detecting operations of appliances and identifying life patterns are estimated through the field test.
Design and Evaluation of a Distributed Clustering Algorithm for Mobile ad hoc Networks
Authors: Daniel Lacks, Mainak Chatterjee, Taskin Kocak
Venue: The Computer Journal (2009)

This paper proposes a new clustering algorithm for global positioning system (GPS)-based mobile ad hoc networks that takes into consideration the direction of the overall traffic flow in the network. The proposed cluster leader logic algorithm is motivated by the GPS quorum hybrid routing algorithm, where clusterheads are positioned on the terrain upon a conceptual cellular grid. The proposed distributed clustering algorithm chooses the clusterheads based on the traffic flow patterns, i.e. the nodes best suited to forward and route network traffic are selected. Our approach allows a clusterhead which is overwhelmed with sending packets to identify an additional clusterhead from nodes available in its cell to share its load. Likewise, clusterheads with low load will try to relinquish their role as a clusterhead. We propose a new concept called cell fanning that allows collocated clusterheads in one cell to share routing responsibilities by declaring which cells they are responsible for routing packets to. We conducted extensive simulation experiments with enforced directional traffic patterns. Two important results are presented: power consumption per clusterhead and average queuing delay for each clusterhead. Results in terms of message overheads, number of clusterheads, power consumption, and queuing delay reveal that system performance is enhanced when clusterheads are chosen considering the direction of the traffic flow.
Capturing and Building Expertise in Virtual Worlds
Authors: Jared Freeman, Webb Stacy, Jean Macmillan, Georgiy Levchuk
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Model-driven simulation can make the design and delivery of instruction more efficient and effective. We describe two computational models that support both the design and delivery of instruction. BEST (the Benchmarked Experiential System for Training) can guide experts through the space of domain problems during the knowledge engineering phase of instructional design; it can guide trainees through the space of training objectives during instruction. PRESTO (Pedagogically Relevant Engineering of Scenarios for Training Objectives) builds scenarios on the fly to elicit the knowledge of experts during instructional design, and to satisfy the instructional objectives of trainees.
The Analysis and Assessment of Adjustment of Selected Web Sites and Web Browsers to the Needs of People with Disabilities
Authors: Aleksandra Polak-Sopińska, Zbigniew Wiśniewski
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

In the 21st century internet is becoming an indispensable element of every person's life. Frequently internet is the basic source of information. Moreover it enables communication, making financial transactions, shopping, etc. Unfortunately in many cases internet applications and sites are not adjusted to psychomotor and perception abilities of the disabled, the number of which is continuously increasing in Poland and all over the world. Very often the sites and applications are illegible and not user-friendly.The article presents results of the analysis on adjustment of selected Web site and Web browser graphic interfaces to the needs of disabled people.
The law of choice and the decision not to decide
Authors: David C. Wilson, Suzanne Leland, Kenneth Godwin, Andrew Baxter, Ashley Levy, Jamie Smart, Nadia Najjar, Jayakrishnan Andaparambil
Venue: Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3 (2008)

Public school choice at the primary and secondary levels is one of the key elements of the U.S. No Child Left Behind Act of 2001 (NCLB). If a school does not meet assessment goals for two consecutive years, by law the district must offer students the opportunity to transfer to a school that is meeting its goals. Making a choice with such potential impact on a child's future is clearly monumental, yet astonishingly few parents take advantage of the opportunity. Our research has shown that a significant part of the problem arises from issues in information access and information overload, particularly for low socioeconomic status families. We have developed an online application, called SmartChoice, to provide parents with school recommendations for individual students based on parents' preferences and students' needs, interests, abilities, and talents. The application employs content-based recommender systems techniques to generate a personalized list of schools that have a demonstrated track record with children who share a child's interests, skills, and needs. The first version of the application is deployed and live for focus group participants who have been using it for the January and March/April 2008 Charlotte-Mecklenburg school choice periods.
Active Optimistic Message Logging for Reliable Execution of MPI Applications
Authors: Thomas Ropars, Christine Morin
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

To execute MPI applications reliably, fault tolerance mechanisms are needed. Message logging is a well known solution to provide fault tolerance for MPI applications. It as been proved that it can tolerate higher failure rate than coordinated checkpointing. However pessimistic and causal message logging can induce high overhead on failure free execution. In this paper, we present O2P, a new optimistic message logging protocol, based on active optimistic message logging. Contrary to existing optimistic message logging protocols that saves dependency information on reliable storage periodically, O2P logs dependency information as soon as possible to reduce the amount of data piggybacked on application messages. Thus it reduces the overhead of the protocol on failure free execution, making it more scalable and simplifying recovery. O2P is implemented as a module of the Open MPI library. Experiments show that active message logging is promising to improve scalability and performance of optimistic message logging.
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
Authors: Allan Tucker, Peter A.C. 't Hoen, Veronica Vinciotti, Xiaohui Liu
Venue: Intelligent Data Analysis (2006)

The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a new architecture of Bayesian classifier that can be used to understand how biological mechanisms differ with respect to time. We show that this classifier improves the classification of microarray data and at the same time ensures that the models can easily be analysed by biologists by incorporating time transparently. In this paper we focus on data that has been generated to explore different types of muscular dystrophy.
Construction of Büchi Automata for LTL Model Checking Verified in Isabelle/HOL
Authors: Alexander Schimpf, Stephan Merz, Jan-Georg Smaus
Venue: Proceedings of the 22nd International Conference on Theorem Proving in Higher Order Logics (2009)

We present the implementation in Isabelle/HOL of a translation of LTL formulae into Büchi automata. In automaton-based model checking, systems are modelled as transition systems, and correctness properties stated as formulae of temporal logic are translated into corresponding automata. An LTL formula is represented by a (generalised) Büchi automaton that accepts precisely those behaviours allowed by the formula. The model checking problem is then reduced to checking language inclusion between the two automata. The automaton construction is thus an essential component of an LTL model checking algorithm. We implemented a standard translation algorithm due to Gerth et al. The correctness and termination of our implementation are proven in Isabelle/HOL, and executable code is generated using the Isabelle/HOL code generator.
Doing It Right: Combining Edutainment Format Development and Research
Authors: Simon Staffans, Annika Wiklund-Engblom, Marc Hassenzahl, Susanne Sperring
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

In this paper, we elaborate on the synergy achieved from combining cross media content development and research. We describe the cross media edutainment format "The Space Trainees" (TST), its development, and how we involve research as a tool for assisting the design process. This is the first and foremost aim of the research attempts, in which targets are both usability of the format and user experience (UX). Another aim of involving research is to gain more understanding of the edutainment value this cross media format delivers; i.e. both the value of entertainment and learning. The third aim is to fine-tune research instruments to better target children's UX, with regard to their attitudes, emotions, actions, and reactions.
Towards Consistency of Policy States in Decentralized Autonomic Network Management
Authors: Jéferson Campos Nobre, Lisandro Zambenedetti Granville
Venue: Proceedings of the 2009 IEEE International Symposium on Policies for Distributed Systems and Networks (2009)

Autonomic network management is a vision that brings autonomic computing principles to network management. In this vision, the use of policies is a key aspect. Besides, it is necessary some level of decentralization to enable broad autonomic capabilities. However, the consistency of policy states among autonomic management elements is an important challenge. In this paper we introduce multi-agent truth maintenance features in decentralized autonomic network management as a mechanism to bring consistency maintenance of policy states. We developed a model of a decentralized autonomic network management system on Peersim to perform simulation experiments. Besides, the utilization of policies in P2P-based autonomic network management systems is presented as case study.
Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels
Authors: Zlatka Avramova, Danny Vleeschauwer, Kathleen Spaey, Sabine Wittevrongel, Herwig Bruneel, Chris Blondia
Venue: Traffic Management and Traffic Engineering for the Future Internet: First Euro-NF Workshop, FITraMEn 2008, Porto, Portugal, December 11-12, Revised Selected Papers (2009)

Mobile TV is growing beyond the stage of experimentation and evaluation and is (about) to become part of our daily lives. Additionally, it is being delivered through heterogeneous networks and to a variety of receiving devices, which implies different versions of one and the same video content must be transported. We propose two (approximate) analytic methods for capacity demand estimation in a (mobile) TV broadcast system. In particular, the methods estimate the required transport capacity for a bouquet of channels offered on request and in different versions (video formats or in different quality) over a multicast-enabled network, encoded in non-constant bit rate targeting constant quality. We compare a transport strategy where the different versions (of one channel) are simulcast to a scalable video encoding (SVC) transport strategy, where all resolutions (of one channel) are embedded in one flow. In addition, we validate the proposed analytic methods with simulations. A realistic mobile TV example is considered with two transported resolutions of the channels: QVGA and VGA. We demonstrate that not always capacity gain is achieved with SVC as compared to simulcast since the former comes with some penalty rate and the gain depends on the system parameters. 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
Study of Passive Q-switch Mode-Locked Characteristic of Pulse LD Pump Nd: YVO4/Cr4+:YAG
Authors: Hui-lan Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Mode-locked characteristic in different cavity length and pump power has been compared in experiments and the main factors which affect the mode-locking have been discussed. By analysing the experimental results, the author gets the following conclusion: we can realize the Q-switch mode-locked laser output by using pulse LD pump Nd:YVO4/Cr4+:YAG. When the cavity length is shorter, we can only realize the Q-switch laser output, as cavity length and power density increase, we realize the Q-switch mode-locked laser output. The best mode-locked state reaches when cavity length is 170mm. As Cavity length is 190mm, due to thermal effects, mode-locking becomes unstable.
PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes
Authors: Jan Beutel, Stephan Gruber, Andreas Hasler, Roman Lim, Andreas Meier, Christian Plessl, Igor Talzi, Lothar Thiele, Christian Tschudin, Matthias Woehrle, Mustafa Yuecel
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-mountain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the precision, reliability and durability requirements of scientists utilizing the data for model validation. We present a custom sensor interface board including specialized sensors and redundancy features for end-to-end data validation. Aspects of high-quality data acquisition, design for reliability by strict separation of operating phases and analysis of energy efficiency are discussed. The system integration using the Dozer protocol scheme achieves a best-in-class average power consumption of 148µA considerably exceeding the lifetime requirement.
The Dynamics of Actor Loyalty to Groups in Affiliation Networks
Authors: Hossam Sharara, Lisa Singh, Lise Getoor, Janet Mann
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

In this paper, we introduce a method for analyzing the temporal dynamics of affiliation networks. We define affiliation groups which describe temporally related subsets of actors and describe an approach for exploring changing memberships in these affiliation groups over time. To model the dynamic behavior in these networks, we consider the concept of loyalty and introduce a measure that captures an actor’s loyalty to an affiliation group as the degree of ‘commitment’ an actor shows to the group over time. We evaluate our measure using two real world affiliation networks: a senate bill cosponsorship network and a dolphin network. The results show how the behavior of actors in different affiliation groups change dynamically over time, reinforcing the utility of our measure for understanding the loyalty of actors to time-varying affiliation groups.
Comparing Wikipedia and German wordnet by evaluating semantic relatedness on multiple datasets
Authors: Torsten Zesch, Iryna Gurevych, Max Mühlhäuser
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

We evaluate semantic relatedness measures on different German datasets showing that their performance depends on: (i) the definition of relatedness that was underlying the construction of the evaluation dataset, and (ii) the knowledge source used for computing semantic relatedness. We analyze how the underlying knowledge source influences the performance of a measure. Finally, we investigate the combination of wordnets and Wikipedia to improve the performance of semantic relatedness measures.
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed
Authors: André L. Rossi, Carlos Soares, André C. Carvalho
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The values selected for the free parameters of Artificial Neural Networks usually have a high impact on their performance. As a result, several works investigate the use of optimization techniques, mainly metaheuristics, for the selection of values related to the network architecture, like number of hidden neurons, number of hidden layers, activation function, and to the learning algorithm, like learning rate, momentum coefficient, etc. A large number of these works use Genetic Algorithms for parameter optimization. Lately, other bioinspired optimization techniques, like Ant Colony optimization, Particle Swarm Optimization, among others, have been successfully used. Although bioinspired optimization techniques have been successfully adopted to tune neural networks parameter values, little is known about the relation between the quality of the estimates of the fitness of a solution used during the search process and the quality of the solution obtained by the optimization method. In this paper, we describe an empirical study on this issue. To focus our analysis, we restricted the datasets to the domain of gene expression analysis. Our results indicate that, although the computational power saved by using simpler estimation methods can be used to increase the number of solutions tested in the search process, the use of accurate estimates to guide that search is the most important factor to obtain good solutions.
Near-Regular Texture Synthesis
Authors: Michal Haindl, Martin Hatka
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textures cannot be successfully modelled using neither simple tiling nor using purely stochastic models. However these textures are often required for realistic appearance visualisation of many man-made environments and for some natural scenes as well. The principle of our near-regular texture synthesis and editing method is to automatically recognise and separate periodic and random components of the corresponding texture. Each of these components is subsequently modelled using its optimal method. The regular texture part is modelled using our roller method, while the random part is synthesised from its estimated exceptionally efficient Markov random field based representation. Both independently enlarged texture components from the original measured texture are combined in the resulting synthetic near-regular texture. In the editing application both enlarged texture components can be from two different textures. The presented texture synthesis method allows large texture compression and it is simultaneously extremely fast due to complete separation of the analytical step of the algorithm from the texture synthesis part. The method is universal and easily viable in a graphical hardware for purpose of real-time rendering of any type of near-regular static textures. 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