Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustering Based Localization for Wireless Sensor Networks Iv Clustering Based Localization for Wireless Sensor Networks Abstract Table of Contents

by Roger Antoniussen Slaaen, M.S. Washington State University May 2006 Chair: Murali Medidi Localization is an important challenge in wireless sensor networks (WSN). Localization usually refers to the process of dynamically determining the position(s) of one or more node(s) in a larger network. The challenge lies in efficiently providing acceptable accuracy while conforming to the many constraints of WSNs and at the same time handling scalability. Scalability is one of the majors concerns than must be addressed, both in terms of very dense and very large networks. We propose a Cluster-based Partial Localization (CPL) to provide efficient localization, where the focus is on providing scalable partial localization suitable to a large and highly-dense network. By partial we mean that CPL will provide localization for subsets of a network in different stages. CPL utilizes both a computationally-intensive localization technique (non-metric MDS) and a less intensive trilateration to achieve balance between complexity and performance. Both trilateration and MDS are well known mathematical techniques. Trilateration, similar to triangulation, has previously been used for localization and similar applications, while variations of MDS have been used in a variety of fields. MDS is a set of data analysis techniques that display the structure of distance-like data as a geometrical picture. Clustering is utilized to select a subset of nodes to perform the non-metric MDS localization and then extend it to the rest of the network. We show, with simulation results and analysis, that CPL will provide a considerable reduction in both computation and communication, while still yielding acceptable accuracy.
Autonomy and Cooperation as Factors of Dependability in Wireless Sensor Network

In the paper we explore relationships between autonomy, cooperation and dependability in wireless sensors network (WSN). We consider WSN as a set of sensors deployed insome area. These sensors must act autonomously and cooperatively to achieve both their particular self-interested and global goals. In proposed approach we determine cooperation and autonomy abstractions and consider them in the context of three basic relations (sub-ordination, tolerance, collision). In such way we expand 2D space (autonomy, cooperation) onto 3D partially or totally ordered relational space. Proposed conceptual framework provides a powerful paradigm to conceive, model, support and manage dynamically organising complex systems.
Adaptive pressure-controlled cellular structures for shape morphing I: design and analysis

This work investigates adaptive bio-inspired pressure cellular structures for shape morphing. Optimum designs for cellular structures with void and pressure cells are proposed and then structural analyses are conducted. In the present design, a unit cell is comprised of straight and curved walls. When compressed air is pumped into a pressure cell, the curved walls deform in bending due to the pressure difference in two adjacent cells that leads to overall structural deformation in extension. One-dimensional actuation strain up to 35% can be theoretically achieved. In part I, we present basic design concepts and cellular mechanics. Unlike conventional structural analysis for cellular structures, a statically indeterminate unit cell is considered and novel analytical formulations are derived for the present pressurized cellular structures in linear and nonlinear analyses. In part II, we will present experimental testing and finite element analysis to demonstrate the feasibility of the present pressurized cellular actuators for morphing wings and to validate the present cellular mechanics formulations.
Food Insecurity and the Risks of Depression and Anxiety in Mothers and Behavior Problems in their Preschool-Aged Children

OBJECTIVES. We sought to determine if the prevalence of depression and anxiety in mothers and the prevalence of behavior problems in preschool-aged children are more common when mothers report being food insecure. METHODS. A cross-sectional survey of 2870 mothers of 3-year-old children was conducted in 2001–2003 in 18 large US cities. On the basis of the adult food-security scale calculated from the US Household Food Security Survey Module, mothers were categorized into 3 levels: fully food secure, marginally food secure, and food insecure. The 12-month prevalence in mothers of a major depressive episode and generalized anxiety disorder was assessed by the Composite International Diagnostic Interview-Short Form. A child behavior problem in ≥1 of 3 domains (aggressive, anxious/depressed, or inattention/hyperactivity) was based on the Child Behavior Checklist. RESULTS. Seventy-one percent of the respondents were fully food secure, 17% were marginally food secure, and 12% were food insecure. After adjustment for sociodemographic factors plus maternal physical health, alcohol use, drug use, prenatal smoking, and prenatal physical domestic violence, the percentage of mothers with either major depressive episode or generalized anxiety disorder increased with increasing food insecurity: 16.9%, 21.0%, and 30.3% across the 3 levels. Among children, after further adjustment for maternal major depressive episode and generalized anxiety disorder, the percentage with a behavior problem also increased with increasing food insecurity: 22.7%, 31.1%, and 36.7%. CONCLUSIONS. Mental health problems in mothers and children are more common when mothers are food insecure, a stressor that can potentially be addressed by social policy.
H∞ filtering of a constant time delay neural networks with quantized output

This paper considers the H∞ filtering problem of time-delay neural networks with quantized outputs. Firstly, consider a constant time-delay neural network system and establish a criterion for the stability and H∞ performance analysis of the filtering error system using the Lyapunov-Krasovskii functional and some latest inequality techniques. Subsequently, on account of the analysis results and combined with some decoupling methods, a design method for H∞ filters was obtained. Finally, the effectiveness of the H∞ filter design method is demonstrated by a numerical example.
A Catalog of Reusable Design Decisions for Developing UML/MOF-based Domain-specific Modeling Languages

In model-driven development (MDD), domain-specific modeling languages (DSMLs) act as a communication vehicle for aligning the requirements of domain experts with the needs of software engineers. With the rise of the UML as a de facto standard, UML/MOF-based DSMLs are now widely used for MDD. This paper documents design decisions collected from 90 UML/MOF-based DSML projects. These recurring design decisions were gained, on the one hand, by performing a systematic literature review (SLR) on the development of UML/MOF-based DSMLs. Via the SLR, we retrieved 80 related DSML projects for review. On the other hand, we collected decisions from developing ten DSML projects by ourselves. The design decisions are presented in the form of reusable decision records, with each decision record corresponding to a decision point in DSML development processes. Furthermore, we also report on frequently observed (combinations of) decision options as well as on associations between options which may occur within a single decision point or between two decision points. This collection of decision-record documents targets decision makers in DSML development (e.g., DSML engineers, software architects, domain experts). (authors' abstract)
Backtracking and Mixing Rate of Diffusion on Uncorrelated Temporal Networks

We consider the problem of diffusion on temporal networks, where the dynamics of each edge is modelled by an independent renewal process. Despite the apparent simplicity of the model, the trajectories of a random walker exhibit non-trivial properties. Here, we quantify the walker’s tendency to backtrack at each step (return where he/she comes from), as well as the resulting effect on the mixing rate of the process. As we show through empirical data, non-Poisson dynamics may significantly slow down diffusion due to backtracking, by a mechanism intrinsically different from the standard bus paradox and related temporal mechanisms. We conclude by discussing the implications of our work for the interpretation of results generated by null models of temporal networks.
Minimal ovarian stimulation for IVF: appraisal of potential benefits and drawbacks.

1Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands, 2Department of Reproductive Medicine, Dutch speaking Free University Brussels, Brussels, Belgium, 3Department of Reproductive Medicine, Division of Reproductive Endocrinology, University of California, San Diego, CA, USA, 4Center for Reproduction Growth and Development, University of Leeds, Leeds, UK, Reproductive Endocrine Sciences Center at Harvard Medical School and the Mass. General Hospital, Boston, MA, USA, 6Department of Obstetrics and Gynecology, Centre for Reproductive Biology, University of Edinburgh, Edinburgh, UK and 7Service d'Endocrinologie, Hopital St. Antoine, Paris, France
Tidying Up International Nucleotide Sequence Databases: Ecological, Geographical and Sequence Quality Annotation of ITS Sequences of Mycorrhizal Fungi

Sequence analysis of the ribosomal RNA operon, particularly the internal transcribed spacer (ITS) region, provides a powerful tool for identification of mycorrhizal fungi. The sequence data deposited in the International Nucleotide Sequence Databases (INSD) are, however, unfiltered for quality and are often poorly annotated with metadata. To detect chimeric and low-quality sequences and assign the ectomycorrhizal fungi to phylogenetic lineages, fungal ITS sequences were downloaded from INSD, aligned within family-level groups, and examined through phylogenetic analyses and BLAST searches. By combining the fungal sequence database UNITE and the annotation and search tool PlutoF, we also added metadata from the literature to these accessions. Altogether 35,632 sequences belonged to mycorrhizal fungi or originated from ericoid and orchid mycorrhizal roots. Of these sequences, 677 were considered chimeric and 2,174 of low read quality. Information detailing country of collection, geographical coordinates, interacting taxon and isolation source were supplemented to cover 78.0%, 33.0%, 41.7% and 96.4% of the sequences, respectively. These annotated sequences are publicly available via UNITE (http://unite.ut.ee/) for downstream biogeographic, ecological and taxonomic analyses. In European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena/), the annotated sequences have a special link-out to UNITE. We intend to expand the data annotation to additional genes and all taxonomic groups and functional guilds of fungi.
Photopolymer recording materials: Characterisation, recording and applications

Photopolymers act as drivers and enabler of fabrication technologies for applications including holographic art, data storage, 3D hybrid optoelectronic circuitry, refractive/diffractive optical elements, and the beam self-focusing studies. The reasons for and need for the development of modeling tools is discussed. Combining the experimental characterization of such materials with these tools provides a powerful analysis technique. Previous results in the area are reviewed and recent results discussed.
Soil fertility in flooded and non-flooded irrigated rice systems

The lowland rice system in Asia makes a major contribution to the global rice supply and is often cited as an example of a sustainable system in which two or three crops of rice are grown in sequence under submerged conditions. However, water shortages are becoming critical in some regions for lowland rice cultivation; and there is high potential in exploring rice cultivation under moisture regimes that save water and also increase productivity. The objective of this article therefore is to analyze the consequences of switching growing of rice from flooded to aerobic conditions on soil fertility and its management. Fertility advantages of submerged rice include amelioration of chemical fertility, preferential accumulation of organic matter and improved availability of major, secondary and selected micronutrients, which contribute to the long-term maintenance of soil fertility and sustainability of the lowland rice system. However, the fertility problems under aerobic rice are better addressed with the crop as a component of a cropping system because continuous growing of aerobic rice in sequence does not seem sustainable due to complex, site-specific chemical and biological constraints.
A Feature Preserved Mesh Subdivision Framework for Biomedical Mesh

As biomedical data in 3D space collected increasingly, there is a pressing need for efficient and accurate applications in the field of bioinformation analysis. For biomedical purpose, mesh subdivision techniques are commonly used to generate adaptive multi-resolution meshes for fast or accurate algorithms. However, current smoothing methods for each subdivision algorithm will moderate edge and vertex features from the original mesh. In this paper, we propose a feature preserved mesh subdivision framework, which generates a visually sensitive and a more precise result compared with commonly used subdivision methods, to preserve edge and vertex geometrical features of biomedical data.
Photoelectric characteristics of PtSi-Si Schottky barrier with heavily boron-doped nanolayer

The photo electric characteristics of Schottky barriers, created by recoil implantation in silicon, are analyzed. Implantation of boron atoms in silicon samples was made by recoil method, inducing Al ion beams bombardment, with current density 4-10 A/cm2 and 30-150keV energy. A SIMS analysis of obtained structures and calculation of their electric parameters show the opportunity of conducting layers formation, with a thickness of 10 nm and carrier concentration higher than 1018 cm-3.
Distinguishing copies from originals in software clones

Cloning is widespread in today's systems where automated assistance is required to locate cloned code. Although the evolution of clones has been studied for many years, no attempt has been made so far to automatically distinguish the original source code leading to cloned copies. This paper presents an approach to classify the clones of a clone pair based on the version information available in version control systems. This automatic classification attempts to distinguish the original from the copy. It allows for the fact that the clones may be modified and thus consist of lines coming from different versions. An evaluation, based on two case studies, shows that when comments are ignored and a small tolerance is accepted, for the majority of clone pairs the proposed approach can automatically distinguish between the original and the copy.
Design patterns for software health monitoring

The benefits of monitoring the internal health of complex systems are recognized in mature engineering disciplines. Such monitoring helps maintain the operational reliability and availability of the system. Recently, research has begun to address the notion of health of complex software systems and its monitoring. This paper outlines a three-layer software health monitoring architecture and presents a collection of design patterns for the bottom two layers of the architecture. The patterns can be implemented with aspect-oriented technologies, which increase system modularity and facilitates retrofitting of monitoring capability onto existing systems. The application of the patterns to a control program of a small telephone exchange is described and the results of its general assessment are summarized.
Asynchronous self-organizing maps

A recently defined energy function which leads to a self-organizing map is used as a foundation for an asynchronous neural-network algorithm. We generalize the existing stochastic gradient approach to an asynchronous parallel stochastic gradient method for generating a topological map on a distributed computer system (MIMD). A convergence proof is presented and simulation results on a set of problems are included. A practical problem using the energy function approach is that a summation over the entire network is required during the computation of updates. Using simulations we demonstrate effective algorithms that use efficient sampling for the approximation of these sums.
Wellness management through Web-based programmes

We established a Web-based programme called the ‘Wellness Online Program’ or WOLP. The programme runs for six weeks. It aims to help individuals manage their own wellness regardless of geographical location. WOLP is based on a holistic approach to health and consists of six wellness dimensions: physical (exercise and diet), emotional, social, intellectual, spiritual and occupational. A total of 150 volunteers from the general public were recruited online for this study and data were collected at three intervals: at the beginning of the programme (week 1), mid-programme (week 3) and at the end of the programme (week 6). Ninety of the participants (60%) completed the six-week programme. Acceptance of WOLP, measured by the frequency of individual usage, increased from the start to the end of the programme. Overall personal wellness management improved after six weeks on the wellness programme (5–10%). The study shows that personal wellness management, which had been demonstrated in the narrower confines of the corporate sector, is also possible in the public domain.
An Improved Stress-based GA for Multi-constrained Topology Optimization

Genetic algorithms (GAs) for structure topology optimization problems (STOPs) have been developed in recently because GAs are flexible and effective to be applied to various complicated engineering problems. A stress-based crossover (SX) operator [1] for continuous STOPs was proposed to suppress the “checkerboard” pattern and disconnection phenomena, which are common for simple GA for STOPs. Here, this SX operator was improved and the details are described. Different generation models were adopted to verify the effectiveness of this operator. For GA to multi-constrained STOPs, how to define fitness function is always an important consideration because the fitness value determines which individuals maybe transmitted to the next generation. The fitness function used in this paper is well defined to compose the objective function and constraints items. These discussions were examined through a number of multi-constrained STOPs. The results demonstrated that improved SX with GA is a global search algorithm with which it is easy to obtain the applicable topology.
Discovery and validation of colonic tumor-associated proteins via metabolic labeling and stable isotopic dilution

The unique biology of a neoplasm is reflected by its distinct molecular profile compared with normal tissue. To understand tumor development better, we have undertaken a quantitative proteomic search for abnormally expressed proteins in colonic tumors from ApcMin/+ (Min) mice. By raising pairs of Min and wild-type mice on diets derived from natural-abundance or 15N-labeled algae, we used metabolic labeling to compare protein levels in colonic tumor versus normal tissue. Because metabolic labeling allows internal control throughout sample preparation and analysis, technical error is minimized as compared with in vitro labeling. Several proteins displayed altered expression, and a subset was validated via stable isotopic dilution using synthetic peptide standards. We also compared gene and protein expression among tumor and nontumor tissue, revealing limited correlation. This divergence was especially pronounced for species showing biological change, highlighting the complementary perspectives provided by transcriptomics and proteomics. Our work demonstrates the power of metabolic labeling combined with stable isotopic dilution as an integrated strategy for the identification and validation of differentially expressed proteins using rodent models of human disease.
HCI and the face

The workshop aims at a general assessment of facial information processing in HCI. We will discuss why certain areas of face-based HCI, such as facial expression recognition and robotic facial display, have lagged others, such as eye gaze tracking, facial identity recognition, and conversational characters. Our goal is to collectively identify research strategies to bring the more slowly developing areas up to speed.
A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies

Background Many eHealth technologies are not successful in realizing sustainable innovations in health care practices. One of the reasons for this is that the current development of eHealth technology often disregards the interdependencies between technology, human characteristics, and the socioeconomic environment, resulting in technology that has a low impact in health care practices. To overcome the hurdles with eHealth design and implementation, a new, holistic approach to the development of eHealth technologies is needed, one that takes into account the complexity of health care and the rituals and habits of patients and other stakeholders. Objective The aim of this viewpoint paper is to improve the uptake and impact of eHealth technologies by advocating a holistic approach toward their development and eventual integration in the health sector. Methods To identify the potential and limitations of current eHealth frameworks (1999–2009), we carried out a literature search in the following electronic databases: PubMed, ScienceDirect, Web of Knowledge, PiCarta, and Google Scholar. Of the 60 papers that were identified, 44 were selected for full review. We excluded those papers that did not describe hands-on guidelines or quality criteria for the design, implementation, and evaluation of eHealth technologies (28 papers). From the results retrieved, we identified 16 eHealth frameworks that matched the inclusion criteria. The outcomes were used to posit strategies and principles for a holistic approach toward the development of eHealth technologies; these principles underpin our holistic eHealth framework. Results A total of 16 frameworks qualified for a final analysis, based on their theoretical backgrounds and visions on eHealth, and the strategies and conditions for the research and development of eHealth technologies. Despite their potential, the relationship between the visions on eHealth, proposed strategies, and research methods is obscure, perhaps due to a rather conceptual approach that focuses on the rationale behind the frameworks rather than on practical guidelines. In addition, the Web 2.0 technologies that call for a more stakeholder-driven approach are beyond the scope of current frameworks. To overcome these limitations, we composed a holistic framework based on a participatory development approach, persuasive design techniques, and business modeling. Conclusions To demonstrate the impact of eHealth technologies more effectively, a fresh way of thinking is required about how technology can be used to innovate health care. It also requires new concepts and instruments to develop and implement technologies in practice. The proposed framework serves as an evidence-based roadmap.