ppxscal/embedding_network huggingface dataset:
On the design of heterogeneous sensor networks based on small world concepts
Authors: Daniel L. Guidoni, Raquel A.F Mini, Antonio A.F. Loureiro
Venue: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems (2008)

Data communication may have a strong impact on the design of a wireless sensor network (WSN) since the energy cost related to the data transmission is typically much higher than the energy cost to perform data processing. Typically, data communication in a WSN tends to be different from other "traditional" data networks such as the Internet. In a WSN, there is a special node called sink that is either the origin or the destination of a message whereas, in the other networks, data communication happens between arbitrary communicating entities. In this scenario, the latency and the energy consumption during communication between the sink node and the other nodes can be optimized using Heterogeneous Sensor Networks (HSNs) created by applying the small world concepts. In order to generate a network with small world features, one should add a small number of long-range links, called shortcuts, whose endpoints are equipped with more powerful hardware, mainly the energy resources. In this work, we propose and evaluate two small world models that can be used in the design of HSNs. In particular, the directed angulation toward the sink node model exhibits the most interesting tradeoff between energy consumption and latency and the sink node as source/destination model presents the best results related to energy consumption and latency in the nodes near to the sink.
Clinically driven semi-supervised class discovery in gene expression data
Authors: Israel Steinfeld, Roy Navon, Diego Ardigò, Ivana Zavaroni, Zohar Yakhini
Venue: Bioinformatics (2008)

Motivation: Unsupervised class discovery in gene expression data relies on the statistical signals in the data to exclusively drive the results. It is often the case, however, that one is interested in constraining the search space to respect certain biological prior knowledge while still allowing a flexible search within these boundaries. Results: We develop an approach to semi-supervised class discovery. One component of our approach uses clinical sample information to constrain the search space and guide the class discovery process to yield biologically relevant partitions. A second component consists of using known biological annotation of genes to drive the search, seeking partitions that manifest strong differential expression in specific sets of genes. We develop efficient algorithmics for these tasks, implementing both approaches and combinations thereof. We show that our method is robust enough to detect known clinical parameters in accordance with expected clinical values. We also use our method to elucidate cardiovascular disease (CVD) putative risk factors. Availability: MonoClaD (Monotone Class Discovery). See http://bioinfo.cs.technion.ac.il/people/zohar/MonoClad/ Supplementary information: Supplementary data is available at http://bioinfo.cs.technion.ac.il/people/zohar/MonoClad/software.html Contact: zohar_yakhini@agilent.com
An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions: the SUDMED Programme
Authors: A. Chehbouni, R. Escadafal, B. Duchemin, G. Boulet, V. Simonneaux, G. Dedieu, B. Mougenot, S. Khabba, H. Kharrou, P. Maisongrande, O. Merlin, A. Chaponniere, J. Ezzahar, S. Er-Raki, J. Hoedjes, R. Hadria, A. Abourida, A. Cheggour, F. Raibi, A. Boudhar, I. Benhadj, L. Hanich, A. Benkaddour, N. Guemouria, A. H. Chehbouni, A. Lahrouni, A. Olioso, F. Jacob, D. G. Williams, J. A. Sobrino
Venue: International Journal of Remote Sensing (2008)

Recent efforts have been concentrated in the development of models to understand and predict the impact of environmental changes on hydrological cycle and water resources in arid and semi-arid regions. In this context, remote sensing data have been widely used to initialize, to force, or to control the simulations of these models. However, for several reasons, including the difficulty in establishing relationships between observational and model variables, the potential offered by satellite data has not been fully used. As a matter of fact, a few hydrological studies that use remote sensing data emanating from different sources (sensors, platforms) have been performed. In this context, the SUDMED programme has been designed in 2002 to address the issue of improving our understanding about the hydrological functioning of the Tensift basin, which is a semi-arid basin situated in central Morocco. The first goal is model development and/or refinement, for investigating the hydrological responses to future scenario about climate change and human pressure. The second aim is the effective use of remote sensing observations in conjunction with process models, to provide operational prognostics for improving water-resource management. The objective of this paper is to present the SUDMED programme, its objectives, and its thrust areas, and to provide an overview of the results obtained in the first phase of the programme (2002-2006). Finally, the lessons learned, future objectives, and unsolved issues are presented.
Microstructure and electrical characteristics of Ba0.65Sr0.35TiO3 thin films etched in CF4/Ar/O2 plasma
Authors: Zuci Quan, Sheng Xu, Hao Hu, Wei Liu, Huiming Huang, Bobby Sebo, Guojia Fang, Meiya Li, Xingzhong Zhao
Venue: Microelectronic Engineering (2008)

Radio frequency magnetron sputtered Ba"0"."6"5Sr"0"."3"5TiO"3 (BST) thin films were etched in CF"4/Ar/O"2 plasma by magnetically enhanced reactive ion etching technique. The etching characteristics of BST films were characterized in terms of microstructure and electrical properties. Atomic force microscopy and X-ray diffraction results indicate that the microstructure of the etched BST film is degraded because of the rugged surface and lowered intensities of BST (100), (110), (111) and (200) peaks compared to the unetched counterparts. Dielectric constant and dielectric dissipation of the unetched, etched and postannealed-after-etched BST film capacitors are 419, 346, 371, 0.018, 0.039 and 0.031 at 100kHz, respectively. The corresponding dielectric tunability, figure of merit and remnant polarization are 19.57%, 11.56%, 17.25%, 10.87, 2.96, 5.56, 3.62@mC/cm^2, 2.32 and 2.81@mC/cm^2 at 25V, respectively. The leakage current density of 1.75x10^-^4 A/cm^2 at 15V for the etched BST capacitor is over two orders of magnitude higher than 1.28x10^-^6 A/cm^2 for the unetched capacitor, while leakage current density of the postannealed-after-etched capacitor decreases slightly. It means that the electrical properties of the etched BST film are deteriorated due to the CF"4/Ar/O"2 plasma-induced damage. Furthermore, the damage is alleviated, and the degraded microstructure and electrical properties are partially recovered after the etched BST film is postannealed at 923K for 20min under a flowing O"2 ambience.
PathFinder: A Visualization eMathTeacher for Actively Learning Dijkstra's Algorithm
Authors: M. G. Sánchez-Torrubia, C. Torres-Blanc, M. A. López-Martínez
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

PathFinder is a new eMathTeacher for actively learning Dijkstra's algorithm. In [Sanchez-Torrubia, M. G., C. Torres-Blanc and J. B. Castellanos, Defining eMathTeacher tools and comparing them with e&bLearning web based tools, in: Proceedings of the International Conference on Engineering and Mathematics (ENMA), 2007] the concept of eMathTeacher was defined and the minimum as well as some additional requirements were described. The tool presented here is an enhanced paradigm of this new concept on Computer Aided Instruction (CAI) resources: an application designed following the eMathTeacher philosophy for active eLearning. The highlighting new feature provided by this application is an animated algorithm visualization panel showing, on the code, the current step the student is executing and/or where there is a user's mistake within the algorithm running. PathFinder also includes another two interesting new features: an active framework area for the algorithm data and the capability of saving/retrieving the created graph.
VoiceLabel: using speech to label mobile sensor data
Authors: Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay, Jacob O. Wobbrock
Venue: Proceedings of the 10th international conference on Multimodal interfaces (2008)

Many mobile machine learning applications require collecting and labeling data, and a traditional GUI on a mobile device may not be an appropriate or viable method for this task. This paper presents an alternative approach to mobile labeling of sensor data called VoiceLabel. VoiceLabel consists of two components: (1) a speech-based data collection tool for mobile devices, and (2) a desktop tool for offline segmentation of recorded data and recognition of spoken labels. The desktop tool automatically analyzes the audio stream to find and recognize spoken labels, and then presents a multimodal interface for reviewing and correcting data labels using a combination of the audio stream, the system's analysis of that audio, and the corresponding mobile sensor data. A study with ten participants showed that VoiceLabel is a viable method for labeling mobile sensor data. VoiceLabel also illustrates several key features that inform the design of other data labeling tools.
An Ontology-Based Framework for Knowledge Retrieval
Authors: Xiaohui Tao, Yuefeng Li, Ning Zhong, Richi Nayak
Venue: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 (2008)

Retrieving accurate information from the Web is a great challenge to users. The existing information retrieval systems are mostly term-based and thus need to be enhanced toward knowledge-based. User information needs need to be better captured in order to deliver personalized search results. In this paper, an ontology-based framework is proposed for capturing user information needs using a world knowledge base and the user's local instance repository. The framework aims to discover a user's background knowledge for knowledge retrieval. The evaluation result is encouraging, in which the proposed model achieved the same performance as a manual user model.
Viewcharts: Syntax and Semantics
Authors: Ayaz Isazadeh, Jaber Karimpour
Venue: Informatica (2008)

In this paper, we present a method for describing the syntax and semantics of viewcharts. Viewcharts is a visual formalism for describing the dynamic behavior of system components. We define the syntax of viewcharts as attributed graphs and, based on this graph, describe dynamic semantics of viewcharts by object mapping automata. This approach covers many important constructs of viewcharts, including hierarchy of views, ownership of elements, scope, and composition of views in SEPARATE, OR and AND ways. It also covers completion and interlevel transitions as well as history transitions without violating the independence of views. Viewcharts was originally based on statecharts; in this paper we also change the basis of viewcharts to an extended version of Finite State Machine (EFSM).
Dynamic modality weighting for multi-stream hmms inaudio-visual speech recognition
Authors: Mihai Gurban, Jean-Philippe Thiran, Thomas Drugman, Thierry Dutoit
Venue: Proceedings of the 10th international conference on Multimodal interfaces (2008)

Merging decisions from different modalities is a crucial problem in Audio-Visual Speech Recognition. To solve this, state synchronous multi-stream HMMs have been proposed for their important advantage of incorporating stream reliability in their fusion scheme. This paper focuses on stream weight adaptation based on modality confidence estimators. We assume different and time-varying environment noise, as can be encountered in realistic applications, and, for this, adaptive methods are best suited. Stream reliability is assessed directly through classifier outputs since they are not specific to either noise type or level. The influence of constraining the weights to sum to one is also discussed.
A pragmatic approach to dimensional analysis for mobile robotic programming
Authors: Geoffrey Biggs, Bruce A. Macdonald
Venue: Autonomous Robots (2008)

An application-specific approach to the design of a robot programming language may allow for a language better suited to the unique challenges found when programming in this domain. One area of robotics programming that can be supported by an application-specific approach is dimensioned data. Robot programs typically manage a substantial amount of dimensioned data. However, existing robot programming tools do not directly support the description and manipulation of dimensioned quantities. A new system is presented for managing dimensioned data in robot software. The design provides a new primitive data type to support dimensioned data. Its unique syntax improves program readability and writability. Dimensional consistency is automatically checked by the system and any errors are reported, significantly easing the debugging of dimensioned data and improving the reliability of robot software. The data type is evaluated by common criteria for evaluating programming languages and a small user study, and is found to be an improvement.
Improved Image Based Visual Servoing with Parallel Robot
Authors: Zhen Qi, John E. Mcinroy
Venue: Journal of Intelligent and Robotic Systems (2008)

The position regulation problem of an eye-in-hand type of parallel robot based pointing systems (PRBPS) is considered in this paper. A fuzzy logic system is first designed to compensate for the uncertainties of the parallel robot and the uncertainty of the image Jacobian, then a hybrid controller (HC) including the image-based nonlinear controller and the adaptive supervisory fuzzy logic controller (ASFLC) is derived by using the Lyapunov direct method to realize the position regulation (PR). The stability of the closed-loop system in the Lyapunov sense is proven theoretically. The fuzzy scaling matrix is combined with the HC to improve the performance of the control system. The simulation results demonstrate that the PRBPS realizes PR with very good robustness to the parameter uncertainties, and the control input torques and settling time are reduce greatly in the case of large initial feature errors.
On quadratic approximations in block ciphers
Authors: N. N. Tokareva
Venue: Problems of Information Transmission (2008)

We consider quadratic approximations (of Boolean functions) of a special form and their potential applications in block cipher cryptanalysis. We show that the use of k-bent functions as ciphering functions extremely increases the resistance of ciphers to such approximations. We consider examples of 4-bit permutations recommended for use in S-boxes of the algorithms GOST 28147-89, DES, and s 3DES; we show that in almost all cases there exist more probable (than linear) quadratic relations of a special form on input and output bits of these permutations.
Network Formation Under Cumulative Advantage: Evidence from The Cambridge High-Tech Cluster
Authors: Hinnerk Gnutzmann
Venue: Computational Economics (2008)

When joining a social network, the already well-connected often make for especially attractive partners because they can facilitate links to other network members. However, the effect is potentially weakened by increasing redundancy of contacts with network size. We consider the trade-off between these two factors in a dataset of the Cambridge High-Tech Cluster and compare results with the county of Cambridgeshire as a whole. As expected, network effects are stronger in the former, but in both datasets, redundancy does not offset the benefits of reach in attracting new partners.
Improving position-specific predictions of protein functional sites using phylogenetic motifs
Authors: K. C. Dukka Bahadur, Dennis R. Livesay
Venue: Bioinformatics (2008)

Motivation: Accurate computational prediction of protein functional sites is critical to maximizing the utility of recent high-throughput sequencing efforts. Among the available approaches, position-specific conservation scores remain among the most popular due to their accuracy and ease of computation. Unfortunately, high false positive rates remain a limiting factor. Using phylogenetic motifs (PMs), we have developed two combined (conservation + PMs) prediction schemes that significantly improve prediction accuracy. Results: Our first approach, called position-specific MINER (psMINER), rank orders alignment columns by conservation. Subsequently, positions that are also not identified as PMs are excluded from the prediction set. This approach improves prediction accuracy, in a statistically significant way, compared to the underlying conservation scores. Increased accuracy is a general result, meaning improvement is observed over several different conservation scores that span a continuum of complexity. In addition, a hybrid MINER (hMINER) that quantitatively considers both scoring regimes provides further improvement. More importantly, it provides critical insight into the relative importance of phylogeny versus alignment conservation. Both methods outperform other common prediction algorithms that also utilize phylogenetic concepts. Finally, we demonstrate that the presented results are critically sensitive to functional site definition, thus highlighting the need for more complete benchmarks within the prediction community. Availability: Our benchmark datasets are available for download at http://www.cs.uncc.edu/~drlivesa/dataset.html. Contact: drlivesa@uncc.edu Supplementary information:Supplementary data is available at Bioinformatics online.
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Venue: International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems (2008)

It is our great pleasure to welcome you to the 11th ACM/IEEE International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), and to beautiful Vancouver, British Columbia, Canada. Over the years, MSWiM has become a major research venue in the area of performance evaluation of wireless and mobile systems. This year, MSWiM has moved from being a symposium to a conference to signify its continued growth. We thank Azzedine Boukerche, the Steering Committee Chair, and the MSWiM Steering Committee, for their hard work and leadership that has made MSWiM such a successful event. This year, we have a very strong program consisting of an excellent selection of regular and short papers. The program also includes a poster session and a demo/tool session. We are happy to have three keynote addresses, one on each day of the main conference, from outstanding experts. Specifically, we would like to thank Mario Gerla (University of California, Los Angeles, USA), Klara Nahrstedt (University of Illinois, Urbana Champagne, USA), and Victor C. M. Leung (University of British Columbia, Canada) for agreeing to deliver keynote speeches. Albert Zomaya (University of Sydney, Australia) has also kindly agreed to be the keynote speaker for the MobiWac symposium. Along with the main conference program, five successful and competitive full-day workshops will be held, covering several specializations within mobile and wireless systems. The workshops cover the following areas: mobility management and wireless access (MobiWAC), performance evaluation of ad hoc and sensor networks (PE-WASUN), QoS and security of wireless networks (Q2SWinet), wireless multimedia networks (WMuNeP), and measurement of wireless and heterogeneous networks (PM2HW2N). In addition, we are happy to have two tutorials. One will be given by Antonio A. F. Loureiro of the Federal University of Minas Gerais (UFMG), Brazil, on the topic of Energy in Wireless Networks. The other will be given by Prof. Stephan Olariu of Old Dominion University, USA, on the topic of VANET - the Quiet Revolution.
Towards a practical and fair rate allocation for multihop wireless networks based on a simple node model
Authors: Rémi Vannier, Isabelle Guérin Lassous
Venue: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems (2008)

IEEE 802.11 is often considered as the underlying wireless technology of multihop wireless networks. But the use of 802.11 in such networks raises issues, like efficiency and/or fairness issues. In this article, we propose a distributed and dynamic rate allocation solution that is based on a simple radio sharing model. Due to its simplicity, we can derive a network protocol that can be practically used in multihop wireless networks. This protocol provides a fair bandwidth sharing between end-to-end flows, while maintaining an efficient overall throughput in the network. This solution has been implemented in NS2 and evaluated by simulations.1
Consistent and coherent learning with δ-delay
Authors: Yohji Akama, Thomas Zeugmann
Venue: Information and Computation (2008)

A consistent learner is required to correctly and completely reflect in its actual hypothesis all data received so far. Though this demand sounds quite plausible, it may lead to the unsolvability of the learning problem. Therefore, in the present paper several variations of consistent learning are introduced and studied. These variations allow a so-called @d-delay relaxing the consistency demand to all but the last @d data. Additionally, we introduce the notion of coherent learning (again with @d-delay) requiring the learner to correctly reflect only the last datum (only the n-@dth datum) seen. Our results are manyfold. First, we provide characterizations for consistent learning with @d-delay in terms of complexity and computable numberings. Second, we establish strict hierarchies for all consistent learning models with @d-delay in dependence on @d. Finally, it is shown that all models of coherent learning with @d-delay are exactly as powerful as their corresponding consistent learning models with @d-delay.
PathCluster
Authors: Tae-Min Kim, Seon-Hee Yim, Yong-Bok Jeong, Yu-Chae Jung, Yeun-Jun Chung
Venue: Bioinformatics (2008)

Motivation: Gene clustering and gene set-based functional analysis are widely used for the analysis of expression profiles. The development of a comprehensive method jointly combining the two methods would allow for greater biological insights. Results: We developed a software package, PathCluster for gene set-based clustering via an agglomerative hierarchical clustering algorithm. The distances between predefined gene sets are illustrated in a dendrogram in which the relationships between gene sets can be visually assessed. Valuable biological insights can be obtained according to the type of gene sets, e.g. coordinated action of molecular functions (functional gene sets) and putative motif synergy (promoter gene set) in a biological process. The combined use of gene sets further enables the interrogation of different biological themes and their putative relationships, such as function-versus-regulatory motif or drug-versus-function. PathCluster can also be used for knowledge-based sample partitioning or class categorization for clinical purposes. With extended applicability, PathCluster will facilitate the gleaning of meaningful biological insights and testable hypotheses in the contexts of given expression profiles. Availability: PathCluster executable files can be freely downloaded at http://www.systemsbiology.co.kr/PathCluster/. Contact: yejun@catholic.ac.kr