WorldWideScience

Sample records for network-based social platform

  1. Dynamic social networks based on movement

    Science.gov (United States)

    Scharf, Henry; Hooten, Mevin B.; Fosdick, Bailey K.; Johnson, Devin S.; London, Joshua M.; Durban, John W.

    2016-01-01

    Network modeling techniques provide a means for quantifying social structure in populations of individuals. Data used to define social connectivity are often expensive to collect and based on case-specific, ad hoc criteria. Moreover, in applications involving animal social networks, collection of these data is often opportunistic and can be invasive. Frequently, the social network of interest for a given population is closely related to the way individuals move. Thus, telemetry data, which are minimally invasive and relatively inexpensive to collect, present an alternative source of information. We develop a framework for using telemetry data to infer social relationships among animals. To achieve this, we propose a Bayesian hierarchical model with an underlying dynamic social network controlling movement of individuals via two mechanisms: an attractive effect and an aligning effect. We demonstrate the model and its ability to accurately identify complex social behavior in simulation, and apply our model to telemetry data arising from killer whales. Using auxiliary information about the study population, we investigate model validity and find the inferred dynamic social network is consistent with killer whale ecology and expert knowledge.

  2. Identifying node role in social network based on multiple indicators.

    Directory of Open Access Journals (Sweden)

    Shaobin Huang

    Full Text Available It is a classic topic of social network analysis to evaluate the importance of nodes and identify the node that takes on the role of core or bridge in a network. Because a single indicator is not sufficient to analyze multiple characteristics of a node, it is a natural solution to apply multiple indicators that should be selected carefully. An intuitive idea is to select some indicators with weak correlations to efficiently assess different characteristics of a node. However, this paper shows that it is much better to select the indicators with strong correlations. Because indicator correlation is based on the statistical analysis of a large number of nodes, the particularity of an important node will be outlined if its indicator relationship doesn't comply with the statistical correlation. Therefore, the paper selects the multiple indicators including degree, ego-betweenness centrality and eigenvector centrality to evaluate the importance and the role of a node. The importance of a node is equal to the normalized sum of its three indicators. A candidate for core or bridge is selected from the great degree nodes or the nodes with great ego-betweenness centrality respectively. Then, the role of a candidate is determined according to the difference between its indicators' relationship with the statistical correlation of the overall network. Based on 18 real networks and 3 kinds of model networks, the experimental results show that the proposed methods perform quite well in evaluating the importance of nodes and in identifying the node role.

  3. Enhancing Lifelong Competence Development and Management Systems with Social Network-based Concepts and Tools

    NARCIS (Netherlands)

    Cheak, Alicia; Angehrn, Albert; Sloep, Peter

    2006-01-01

    This paper addresses the challenge of enhancing the social dimension of lifelong Competence Development and Management Systems with social network-based concepts and tools. Our premise is that through a combination of social network visualization tools, simulations, stimulus agents and management

  4. Moodle vs. Social Media Platforms

    DEFF Research Database (Denmark)

    Gulieva, Valeria

    Given the competition coming from various social media platforms, it is explored in this paper how students could be encouraged to use Moodle more proactively during their studies. Moodle is a course management system for online learning. It is designed to be a flexible template-based system, which......, known and widely used social platforms. It might be also due to the fact that students do not see the benefits in investing time and efforts in learning the new system. Another reason might be the mandatory nature of Moodle, i.e., it is imposed on students, rather than a free choice – and this might...

  5. Friend suggestion in social network based on user log

    Science.gov (United States)

    Kaviya, R.; Vanitha, M.; Sumaiya Thaseen, I.; Mangaiyarkarasi, R.

    2017-11-01

    Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form high-performance social friend recommendation. Suggestion of friends is followed. No tags of character were followed. In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works. A new friend recommendation method, based on network correlation, by considering the effect of different social roles. To model the correlation between different networks, we develop a method that aligns these networks through important feature selection. We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation.

  6. Social network based dynamic transit service through the OMITS system.

    Science.gov (United States)

    2014-02-01

    The Open Mode Integrated Transportation System (OMITS) forms a sustainable information infrastructure for communication within and between the mobile/Internet network, the roadway : network, and the users social network. It manipulates the speed g...

  7. A neural network based approach to social touch classification

    NARCIS (Netherlands)

    van Wingerden, Siewart; Uebbing, Tobias J.; Jung, Merel Madeleine; Poel, Mannes

    2014-01-01

    Touch is an important interaction modality in social interaction, for instance touch can communicate emotions and can intensify emotions communicated by other modalities. In this paper we explore the use of Neural Networks for the classification of touch. The exploration and assessment of Neural

  8. Analysing the Correlation between Social Network Analysis Measures and Performance of Students in Social Network-Based Engineering Education

    Science.gov (United States)

    Putnik, Goran; Costa, Eric; Alves, Cátia; Castro, Hélio; Varela, Leonilde; Shah, Vaibhav

    2016-01-01

    Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

  9. Discrete opinion dynamics on networks based on social influence

    Energy Technology Data Exchange (ETDEWEB)

    Hu Haibo; Wang Xiaofan [Complex Networks and Control Lab, Shanghai Jiao Tong University, Shanghai 200240 (China)

    2009-06-05

    A model of opinion dynamics based on social influence on networks was studied. The opinion of each agent can have integer values i = 1, 2, ..., I and opinion exchanges are restricted to connected agents. It was found that for any I {>=} 2 and self-confidence parameter 0 {<=} u < 1, when u is a degree-independent constant, the weighted proportion (q{sub i}) of the population that hold a given opinion i is a martingale, and the fraction q{sub i} of opinion i will gradually converge to (q{sub i}). The tendency can slow down with the increase of degree assortativity of networks. When u is degree dependent, (q{sub i}) does not possess the martingale property, however q{sub i} still converges to it. In both cases for a finite network the states of all agents will finally reach consensus. Further if there exist stubborn persons in the population whose opinions do not change over time, it was found that for degree-independent constant u, both q{sub i} and (q{sub i}) will converge to fixed proportions which only depend on the distribution of initial obstinate persons, and naturally the final equilibrium state will be the coexistence of diverse opinions held by the stubborn people. The analytical results were verified by numerical simulations on Barabasi-Albert (BA) networks. The model highlights the influence of high-degree agents on the final consensus or coexistence state and captures some realistic features of the diffusion of opinions in social networks.

  10. A social network-based organizational model for improving knowledge management in supply chains

    OpenAIRE

    Capó-Vicedo, Josep; Mula, Josefa; Capó i Vicedo, Jordi

    2011-01-01

    Purpose: This paper aims to provide a social network-based model for improving knowledge management in multi-level supply chains formed by small and medium-sized enterprises (SMEs). Design/methodology/approach: This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Also, an empirical experience from an exploratory case study in the construction sector is presented. Findings: This proposal improves the establishment of inter-organi...

  11. Tensions between Individual Use and Network Adoption of Social Media Platforms

    DEFF Research Database (Denmark)

    Srinivasan, Nikhil; Damsgaard, Jan

    2013-01-01

    by interviewing individuals within a university context. An analysis of the vignettes and individual use behaviors highlights the tension between network-based adoption of social media platforms and the constraints that the network places on individual use of the platform.......Social media have diffused into the everyday lives of many but still pose challenges to individuals regarding use of these platforms. This paper explores the multiple manners in which social media platforms gets employed by individuals based on an examination of 4 vignettes generated...

  12. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  13. Architecture Design and Experimental Platform Demonstration of Optical Network based on OpenFlow Protocol

    Science.gov (United States)

    Xing, Fangyuan; Wang, Honghuan; Yin, Hongxi; Li, Ming; Luo, Shenzi; Wu, Chenguang

    2016-02-01

    With the extensive application of cloud computing and data centres, as well as the constantly emerging services, the big data with the burst characteristic has brought huge challenges to optical networks. Consequently, the software defined optical network (SDON) that combines optical networks with software defined network (SDN), has attracted much attention. In this paper, an OpenFlow-enabled optical node employed in optical cross-connect (OXC) and reconfigurable optical add/drop multiplexer (ROADM), is proposed. An open source OpenFlow controller is extended on routing strategies. In addition, the experiment platform based on OpenFlow protocol for software defined optical network, is designed. The feasibility and availability of the OpenFlow-enabled optical nodes and the extended OpenFlow controller are validated by the connectivity test, protection switching and load balancing experiments in this test platform.

  14. Gesture Recognition Using Neural Networks Based on HW/SW Cosimulation Platform

    Directory of Open Access Journals (Sweden)

    Priyanka Mekala

    2013-01-01

    Full Text Available Hardware/software (HW/SW cosimulation integrates software simulation and hardware simulation simultaneously. Usually, HW/SW co-simulation platform is used to ease debugging and verification for very large-scale integration (VLSI design. To accelerate the computation of the gesture recognition technique, an HW/SW implementation using field programmable gate array (FPGA technology is presented in this paper. The major contributions of this work are: (1 a novel design of memory controller in the Verilog Hardware Description Language (Verilog HDL to reduce memory consumption and load on the processor. (2 The testing part of the neural network algorithm is being hardwired to improve the speed and performance. The American Sign Language gesture recognition is chosen to verify the performance of the approach. Several experiments were carried out on four databases of the gestures (alphabet signs A to Z. (3 The major benefit of this design is that it takes only few milliseconds to recognize the hand gesture which makes it computationally more efficient.

  15. Network-based modeling and intelligent data mining of social media for improving care.

    Science.gov (United States)

    Akay, Altug; Dragomir, Andrei; Erlandsson, Bjorn-Erik

    2015-01-01

    Intelligently extracting knowledge from social media has recently attracted great interest from the Biomedical and Health Informatics community to simultaneously improve healthcare outcomes and reduce costs using consumer-generated opinion. We propose a two-step analysis framework that focuses on positive and negative sentiment, as well as the side effects of treatment, in users' forum posts, and identifies user communities (modules) and influential users for the purpose of ascertaining user opinion of cancer treatment. We used a self-organizing map to analyze word frequency data derived from users' forum posts. We then introduced a novel network-based approach for modeling users' forum interactions and employed a network partitioning method based on optimizing a stability quality measure. This allowed us to determine consumer opinion and identify influential users within the retrieved modules using information derived from both word-frequency data and network-based properties. Our approach can expand research into intelligently mining social media data for consumer opinion of various treatments to provide rapid, up-to-date information for the pharmaceutical industry, hospitals, and medical staff, on the effectiveness (or ineffectiveness) of future treatments.

  16. Using smart mobile devices in social-network-based health education practice: a learning behavior analysis.

    Science.gov (United States)

    Wu, Ting-Ting

    2014-06-01

    Virtual communities provide numerous resources, immediate feedback, and information sharing, enabling people to rapidly acquire information and knowledge and supporting diverse applications that facilitate interpersonal interactions, communication, and sharing. Moreover, incorporating highly mobile and convenient devices into practice-based courses can be advantageous in learning situations. Therefore, in this study, a tablet PC and Google+ were introduced to a health education practice course to elucidate satisfaction of learning module and conditions and analyze the sequence and frequency of learning behaviors during the social-network-based learning process. According to the analytical results, social networks can improve interaction among peers and between educators and students, particularly when these networks are used to search for data, post articles, engage in discussions, and communicate. In addition, most nursing students and nursing educators expressed a positive attitude and satisfaction toward these innovative teaching methods, and looked forward to continuing the use of this learning approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Detecting Sarcasm in Multimodal Social Platforms

    OpenAIRE

    Schifanella, R.; de Juan, P.; Tetreault, J; Cao, L.

    2016-01-01

    Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been applied in the past mainly to textual utterances where lexical indicators (such as interjections and intensifiers), linguistic markers, and contextual information (such as user profiles, or past conversations) were used to detect the sarcastic tone. However, modern social media platforms allow to create multimodal messa...

  18. Development of the Social Network-Based Intervention "Powerful Together with Diabetes" Using Intervention Mapping.

    Science.gov (United States)

    Vissenberg, Charlotte; Nierkens, Vera; Uitewaal, Paul J M; Middelkoop, Barend J C; Nijpels, Giel; Stronks, Karien

    2017-01-01

    This article describes the development of the social network-based intervention Powerful Together with Diabetes which aims to improve diabetes self-management (DSM) among patients with type 2 diabetes living in socioeconomically deprived neighborhoods by stimulating social support for DSM and diminishing social influences hindering DSM (e.g., peer pressure and social norms). The intervention was specifically developed for patients with Dutch, Turkish, Moroccan, and Surinamese backgrounds. The intervention was developed according to Intervention Mapping. This article describes the first four steps of Intervention Mapping: (1) the needs assessment; (2) development of performance and change objectives; (3) selection of theory-based methods and strategies; and (4) the translation of these into an organized program. These four steps resulted in Powerful Together with Diabetes, a 10-month group-based intervention consisting of 24 meetings, 6 meetings for significant others, and 2 meetings for participants and their spouses. The IM method resulted in a tailored approach with a specific focus on the social networks of its participants. This article concludes that the IM method helped our planning team to tailor the intervention to the needs of our target population and facilitated our evaluation design. However, in hindsight, the intervention could have been improved by investing more in participatory planning and community involvement.

  19. A Social Networking-based Advertising to Enhance Customer Reach Target

    OpenAIRE

    Ahmad Najmi Amer Haider Nuar; Hairulnizam Mahdin; Noryusliza Abdullah; Rozanawati Darman; Masitah Ahmad

    2017-01-01

    A traditional advertising is a method to deliver commercial messages to mass audiences through newspaper, outdoors billboards, radio and television. This method is quite expensive for small and medium company. The new concept of advertising such as social media, website and application provide an inexpensive way to promote businesses. The proposed idea is to create a new platform of advertising and promotional tools which is called Tagme. This system is developed based on web environment on W...

  20. The socializing role of expatriate online platforms

    DEFF Research Database (Denmark)

    Emontspool, Julie

    2015-01-01

    between market orientation and socialization practices online. It shows how processes of market simplification, market guidance and market manipulation co-exist both in expatriates’ orientation and socialization in the new consumption context. The findings of this study firstly provide insights...... into the consequences of those online interactions for nationalism, where digital tools may in fact reduce expatriates’ cosmopolitanism. Secondly, the study shows collaborative knowledge construction on those platforms creates new forms of market adaptation....

  1. The web as platform: Data flows in social media

    NARCIS (Netherlands)

    Helmond, A.

    2015-01-01

    This dissertation looks into the history of Web 2.0 as "the web as platform" (O’Reilly 2004) and traces the transition of social network sites into social media platforms to examine how social media has transformed the web. In order to understand this process from an infrastructural perspective, I

  2. The analysis of split graphs in social networks based on the K-Cardinality assignment problem

    OpenAIRE

    Belik, Ivan

    2014-01-01

    In terms of social networks, split graphs correspond to the variety of interpersonal and intergroup relations. In this paper we analyse the interaction between the cliques (socially strong and trusty groups) and the independent sets (fragmented and non-connected groups of people) as the basic components of any split graph. Based on the Semi-Lagrangean relaxation for the k-cardinality assignment problem, we show the way of minimizing the socially risky interactions between the cliques and the ...

  3. The analysis of split graphs in social networks based on the K-Cardinality assignment problem

    OpenAIRE

    Belik, Ivan

    2014-01-01

    In terms of social networks, split graphs correspond to the variety of interpersonal and intergroup relations. In this paper we analyse the interaction between the cliques (socially strong and trusty groups) and the independent sets (fragmented and non-connected groups of people) as the basic components of any split graph. Based on the Semi-Lagrangean relaxation for the kcardinality assignment problem, we show the way of minimizing the socially risky interactions between the cl...

  4. Development of the Social Network-Based Intervention “Powerful Together with Diabetes” Using Intervention Mapping

    Directory of Open Access Journals (Sweden)

    Charlotte Vissenberg

    2017-12-01

    Full Text Available This article describes the development of the social network-based intervention Powerful Together with Diabetes which aims to improve diabetes self-management (DSM among patients with type 2 diabetes living in socioeconomically deprived neighborhoods by stimulating social support for DSM and diminishing social influences hindering DSM (e.g., peer pressure and social norms. The intervention was specifically developed for patients with Dutch, Turkish, Moroccan, and Surinamese backgrounds. The intervention was developed according to Intervention Mapping. This article describes the first four steps of Intervention Mapping: (1 the needs assessment; (2 development of performance and change objectives; (3 selection of theory-based methods and strategies; and (4 the translation of these into an organized program. These four steps resulted in Powerful Together with Diabetes, a 10-month group-based intervention consisting of 24 meetings, 6 meetings for significant others, and 2 meetings for participants and their spouses. The IM method resulted in a tailored approach with a specific focus on the social networks of its participants. This article concludes that the IM method helped our planning team to tailor the intervention to the needs of our target population and facilitated our evaluation design. However, in hindsight, the intervention could have been improved by investing more in participatory planning and community involvement.

  5. Social networking-based personal home telehealth system: A pilot study

    Directory of Open Access Journals (Sweden)

    Yu-Chen Huang

    2014-12-01

    Conclusion: CDF presented in this paper extends the value of a home telehealth system from the provision of health care to enhancing older adults' interpersonal communication and social participation.

  6. PGTandMe: social networking-based genetic testing and the evolving research model.

    Science.gov (United States)

    Koch, Valerie Gutmann

    2012-01-01

    The opportunity to use extensive genetic data, personal information, and family medical history for research purposes may be naturally appealing to the personal genetic testing (PGT) industry, which is already coupling direct-to-consumer (DTC) products with social networking technologies, as well as to potential industry or institutional partners. This article evaluates the transformation in research that the hybrid of PGT and social networking will bring about, and--highlighting the challenges associated with a new paradigm of "patient-driven" genomic research--focuses on the consequences of shifting the structure, locus, timing, and scope of research through genetic crowd-sourcing. This article also explores potential ethical, legal, and regulatory issues that arise from the hybrid between personal genomic research and online social networking, particularly regarding informed consent, institutional review board (IRB) oversight, and ownership/intellectual property (IP) considerations.

  7. Link prediction in social network based on local information and attributes of nodes

    Science.gov (United States)

    Liang, Yingying; Huang, Lan; Wang, Zhe

    2017-08-01

    Link prediction is essential to both research areas and practical applications. In order to make full use of information of the network, we proposed a new method to predict links in the social network. Firstly, we extracted topological information and attributes of nodes in the social network. Secondly, we integrated them into feature vectors. Finally, we used XGB classifier to predict links using feature vectors. Through expanding information source, experiments on a co-authorship network suggest that our method can improve the accuracy of link prediction significantly.

  8. Knowledge Sharing via Social Networking Platforms in Organizations

    Science.gov (United States)

    Kettles, Degan

    2012-01-01

    Knowledge Management Systems have been actively promoted for decades within organizations but have frequently failed to be used. Recently, deployments of enterprise social networking platforms used for knowledge management have become commonplace. These platforms help harness the knowledge of workers by serving as repositories of knowledge as well…

  9. The SNAP Platform: Social Networking for Academic Purposes

    Science.gov (United States)

    Kirkwood, Keith

    2010-01-01

    Purpose: This paper aims to introduce an enterprise-wide Web 2.0 learning support platform--SNAP, developed at Victoria University in Melbourne, Australia. Design/methodology/approach: Pointing to the evolution of the social web, the paper discusses the potential for the development of e-learning platforms that employ constructivist, connectivist,…

  10. Development and Efficacy Testing of a Social Network-Based Competitive Application for Weight Loss.

    Science.gov (United States)

    Lee, Jisan; Kim, Jeongeun

    2016-05-01

    Although a lot of people continuously try to lose weight, the obesity rate has remained high: 36.9% of males and 38.0% of females worldwide in 2013. This suggests the need for a new intervention. In this study, we designed a smartphone application, With U, to aid weight loss by using an offline social network of friends and an online social network, Facebook. To determine the effects of With U, this study was designed as a one-group pretest-posttest design. Overweight, obese, and severely obese adults 20-40 years old, along with their friends, participated in this study. A total of 10 pairs attempted to lose weight for 4 weeks. We used a questionnaire to measure general characteristics, motivation, and intent to continue to use With U, and the Inbody720 (Biospace, Seoul, Republic of Korea) body composition analyzer was used to measure physical characteristics. In addition, we briefly interviewed the participants about their experience. We observed statistically significant effects in terms of motivation to lose weight and the amount of weight loss. Changes in physical characteristics beyond weight loss also showed positive trends. Also, we discovered some interesting facts during the interviews. The weight loss effect was greater when the team members met more and the relationship between the challengers was more direct and intimate. The application With U, designed and developed to allow friends to challenge each other to lose weight, affected both motivation to lose weight and the amount of weight loss. In the future, effects of smartphone applications for health management with social networks need to be studied further.

  11. Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks

    DEFF Research Database (Denmark)

    Jiang, Jiuchuan; Jaeger, Manfred

    2014-01-01

    . In this paper we propose to use relational Bayesian networks for the specification of probabilistic network models, and develop inference techniques that solve the community detection problem based on these models. The use of relational Bayesian networks as a flexible high-level modeling framework enables us......Many techniques have been proposed for community detection in social networks. Most of these techniques are only designed for networks defined by a single relation. However, many real networks are multiplex networks that contain multiple types of relations and different attributes on the nodes...

  12. The investigation of social networks based on multi-component random graphs

    Science.gov (United States)

    Zadorozhnyi, V. N.; Yudin, E. B.

    2018-01-01

    The methods of non-homogeneous random graphs calibration are developed for social networks simulation. The graphs are calibrated by the degree distributions of the vertices and the edges. The mathematical foundation of the methods is formed by the theory of random graphs with the nonlinear preferential attachment rule and the theory of Erdôs-Rényi random graphs. In fact, well-calibrated network graph models and computer experiments with these models would help developers (owners) of the networks to predict their development correctly and to choose effective strategies for controlling network projects.

  13. Social media tools and platforms in learning environments

    CERN Document Server

    2011-01-01

    This volume covers original research work on the use of social computing and related technologies in education, including the emerging applications of Web 2.0 as an educational platform, and examines the associated privacy, risk, security, and policy issues.

  14. How do emergency managers use social media platforms?

    Science.gov (United States)

    Bennett, DeeDee M

    2014-01-01

    Social media platforms are increasingly becoming a useful tool for victims, humanitarians, volunteers, and the general public to communicate during disasters. Research has shown that there are multiple advantages to using social media and the applicability of these platforms crosses several different types of disasters (human-caused, natural, and terrorist) here in the United States and abroad. However, some emergency management agencies have been reluctant to use social media as one of their many communications tools. In this study, the usefulness of social media for emergency management was examined over a 30-day period following a series of tornadoes. Using an observational approach, the public posts disseminated from an emergency management agency were analyzed to determine how two social media platforms were used. The findings show how emergency management agencies could leverage the connectedness of social media to reach victims and make unlikely partnerships.

  15. A social network-based intervention stimulating peer influence on children's self-reported water consumption: A randomized control trial.

    Science.gov (United States)

    Smit, Crystal R; de Leeuw, Rebecca N H; Bevelander, Kirsten E; Burk, William J; Buijzen, Moniek

    2016-08-01

    The current pilot study examined the effectiveness of a social network-based intervention using peer influence on self-reported water consumption. A total of 210 children (52% girls; M age = 10.75 ± SD = 0.80) were randomly assigned to either the intervention (n = 106; 52% girls) or control condition (n = 104; 52% girls). In the intervention condition, the most influential children in each classroom were trained to promote water consumption among their peers for eight weeks. The schools in the control condition did not receive any intervention. Water consumption, sugar-sweetened beverage (SSB) consumption, and intentions to drink more water in the near future were assessed by self-report measures before and immediately after the intervention. A repeated measure MANCOVA showed a significant multivariate interaction effect between condition and time (V = 0.07, F(3, 204) = 5.18, p = 0.002, pη(2) = 0.07) on the dependent variables. Further examination revealed significant univariate interaction effects between condition and time on water (p = 0.021) and SSB consumption (p = 0.015) as well as water drinking intentions (p = 0.049). Posthoc analyses showed that children in the intervention condition reported a significant increase in their water consumption (p = 0.018) and a decrease in their SSB consumption (p  0.05). The children who were exposed to the intervention did not report a change in their water drinking intentions over time (p = 0.576) whereas the nonexposed children decreased their intentions (p = 0.026). These findings show promise for a social network-based intervention using peer influence to positively alter consumption behaviors. This RCT was registered in the Australian New Zealand Clinical Trials Registry (ACTRN12614001179628). Study procedures were approved by the Ethics Committee of the Faculty of Social Sciences at Radboud University (ECSW2014-1003-203). Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Uncovering the community structure in signed social networks based on greedy optimization

    Science.gov (United States)

    Chen, Yan; Yan, Jiaqi; Yang, Yu; Chen, Junhua

    2017-05-01

    The formality of signed relationships has been recently adopted in a lot of complicated systems. The relations among these entities are complicated and multifarious. We cannot indicate these relationships only by positive links, and signed networks have been becoming more and more universal in the study of social networks when community is being significant. In this paper, to identify communities in signed networks, we exploit a new greedy algorithm, taking signs and the density of these links into account. The main idea of the algorithm is the initial procedure of signed modularity and the corresponding update rules. Specially, we employ the “Asymmetric and Constrained Belief Evolution” procedure to evaluate the optimal number of communities. According to the experimental results, the algorithm is proved to be able to run well. More specifically, the proposed algorithm is very efficient for these networks with medium size, both dense and sparse.

  17. Creative elements: network-based predictions of active centres in proteins, cellular and social networks

    CERN Document Server

    Csermely, Peter

    2008-01-01

    Active centres and hot spots of proteins have a paramount importance in enzyme action, protein complex formation and drug design. Recently a number of publications successfully applied the analysis of residue networks to predict active centres in proteins. Most real-world networks show a number of properties, such as small-worldness or scale-free degree distribution, which are rather general features of networks from molecules to the society. Based on extensive analogies I propose that the existing findings and methodology enable us to detect active centres in cells, social networks and ecosystems. Members of these active centres are creative elements of the respective networks, which may help them to survive unprecedented, novel challenges, and play a key role in the development, survival and evolvability of complex systems.

  18. The impact of a social network based intervention on self-management behaviours among patients with type 2 diabetes living in socioeconomically deprived neighbourhoods: a mixed methods approach

    NARCIS (Netherlands)

    Vissenberg, Charlotte; Nierkens, Vera; van Valkengoed, Irene; Nijpels, Giel; Uitewaal, Paul; Middelkoop, Barend; Stronks, Karien

    2017-01-01

    Aims: This paper aims to explore the effect of the social network based intervention Powerful Together with Diabetes on diabetes self-management among socioeconomically deprived patients. This 10-month group intervention targeting patients and significant others aimed to improve self-management by

  19. Using Natural Language Policies for Privacy Control in Social Platforms

    NARCIS (Netherlands)

    De Coi, Juri; Kärger, Philipp; Olmedilla, Daniel; Zerr, Sergej

    2009-01-01

    De Coi, J. L., Kärger, P., Olmedilla, D., & Zerr, S. (2009). Using Natural Language Policies for Privacy Control in Social Platforms. In M. Hausenblas, P. Kärger, D. Olmedilla, A. Passant & A. Polleres (Eds.), Proceedings of the First Workshop on Trust and Privacy on the Social and Semantic Web

  20. Social Media Platforms and Heart Failure.

    Science.gov (United States)

    Widmer, R Jay; Arce, Makala K; Aase, Lee A; Timimi, Farris K

    2017-11-01

    With the pervasive use of the internet and social media, the potential applicability toward patients with heart failure (HF) remains understudied. Here, we outline the general use of social media and some early work with the use of social media as well as data from our own Mayo Clinic Center for Social Media experience. Both enterprise-wide social media data as well as those specific to HF-related pages and posts appear to support the preferential use of Facebook and Youtube for potential benefit in patients with HF. Large-scale prospective studies are needed to confirm these anecdotal results, and to ensure we can optimally, yet safely, engage our patients with HF to improve their care. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies

    DEFF Research Database (Denmark)

    Hall, Margeret; Mazarakis, Athanasios; Peters, Isabella

    2016-01-01

    invest in cross-platform analyses. This is a major oversight as 42% of Online Social Media users have multiple social media accounts. Missing are the models and tools necessary to undertake analysis at scale across multiple platforms. Especially promising in support of cross-platform analysis...... challenges and opportunities of cross-platform, mixed method analysis in social media ecosystems....

  2. LibGuide som social platform

    DEFF Research Database (Denmark)

    Nielsen, Susanne; Volder Kjær, Berit; Andersen, Bente Thorup

    2011-01-01

    undervisningsforløb. Det er formålet herved at højne både kvaliteten af undervisningen og udviklingen af elevernes informationskompetence. LibGuide er planlagt til at skulle understøtte en kommunikativ forståelse og samarbejdet mellem eleverne og bibliotekar/lærer, dvs. der er fokus på det sociale aspekt. Artiklen...... viser at de nævnte mål indebærer et eksplorativt udviklingsforløb. Udviklingen af et værktøj, der skal indfri de nævnte samarbejdsmæssige aspekter, forudsætter en evalueringsproces, hvor der gives tid til erhvervelsen af mange erfaringer og refleksioner. Artiklen gør rede for de ideer, der ligger bag...

  3. SOCIAL MEDIA PLATFORMS AND ROMANIAN SMEs. AN INNOVATION PERSPECTIVE.

    Directory of Open Access Journals (Sweden)

    ARIANA TAL

    2017-06-01

    Full Text Available Innovation can take a lot of forms in firms. Large companies are more willing to innovate due to a higher potential than SMEs. In social media, SMEs have equal chances to make a difference. In this paper I aim to present a social media overview, emphasizing the benefits and characteristics of these platforms and the way they can represent a huge innovation for SMEs and in the second part to discuss the case of Romania in relation with social media from the perspective of innovation.

  4. A remote care platform for the social support program CASSAUDEC

    Directory of Open Access Journals (Sweden)

    Andrés Felipe Ardila Rodríguez

    2016-06-01

    Full Text Available The training strategies developed for the social support program bring deficits in accessibility to the chronic ill patients (EC and the CASSA-UDEC’s caretaker (CASSA-UDEC: Centre for Social Health Care at Universidad de Cundinamarca they do not have time to commute, hindering their legal relationship established by the contract. For this reason, a remote care platform (PTD was developed to support users at CASSA-UDEC improving aspects related to coverage, cost, quality, access and appropriation of information from caregivers and chronic ill patients. The design was based on gerontological constructs identifying features such as modularity, object size, usability, ergonomics, and some others, providing a friendly platform for the user with dynamic, modular and high usability content. The Platform provides a space for interaction and aid, which works as a dynamic entity in the job done by CASSA-UDEC giving support in the development of activities, expanding its coverage, access; all thanks to the benefits offered in a virtual mode.

  5. Using Social Media as a Managerial Platform for an Educational Development Project : Cofimvaba

    CSIR Research Space (South Africa)

    Van der Vyver, AG

    2015-12-01

    Full Text Available of the project use Whatsapp, a popular social media platform to engage in managerial communication. The researchers found that this unconventional platform proved to be an excellent anchor for managerial communication on the project....

  6. Development and Analyses of Privacy Management Models in Online Social Networks Based on Communication Privacy Management Theory

    Science.gov (United States)

    Lee, Ki Jung

    2013-01-01

    Online social networks (OSNs), while serving as an emerging means of communication, promote various issues of privacy. Users of OSNs encounter diverse occasions that lead to invasion of their privacy, e.g., published conversation, public revelation of their personally identifiable information, and open boundary of distinct social groups within…

  7. A nontraditional faculty development initiative using a social media platform.

    Science.gov (United States)

    Penick Brock, Tina; Assemi, Mitra; Corelli, Robin L; El-Ibiary, Shareen Y; Kavookjian, Jan; Martin, Beth A; Suchanek Hudmon, Karen

    2014-06-17

    To assess the outcomes from an 11-year nontraditional professional development activity implemented by female faculty members at several colleges and schools of pharmacy. Within the context of an online fantasy football league, faculty members practiced community-based faculty development strategies, including peer mentoring, skills development, constructive feedback and other supportive behaviors. Data were extracted from curriculum vitae to characterize the academic progress of participants and to quantify scholarly work collaborations among league members. Analyses were limited to members who had participated in the league for 10 or more consecutive years. Seventy-one collaborative scholarly works occurred among team managers, including presentation of 20 posters and 2 oral presentations at national or international meetings, publication of 29 peer-reviewed articles and 15 book chapters, and funding of 5 research projects. Social media platforms can foster nontraditional faculty development and mentoring by enhancing connectivity between pharmacy educators who share similar interests.

  8. ProofBook: An Online Social Network Based on Proof-of-Work and Friend-Propagation

    NARCIS (Netherlands)

    Biedermann, Sebastian; Karvelas, Nikolaos P.; Katzenbeisser, Stefan; Strufe, Thorsten; Peter, Andreas

    2014-01-01

    Online Social Networks (OSNs) enjoy high popularity, but their centralized architectures lead to intransparency and mistrust in the providers who can be the single point of failure. A solution is to adapt the OSN functionality to an underlying and fully distributed peer-to-peer (P2P) substrate.

  9. Recruitment and retention in a 10-month social network-based intervention promoting diabetes self-management in socioeconomically deprived patients: a qualitative process evaluation

    Science.gov (United States)

    Vissenberg, Charlotte; Nierkens, Vera; Uitewaal, Paul J M; Middelkoop, Barend J C; Stronks, Karien

    2017-01-01

    Objectives Socioeconomically deprived patients with type 2 diabetes often face challenges with self-management, resulting in more diabetes-related complications. However, these groups are often under-represented in self-management interventions. Evidence on effective recruitment and retention strategies is growing, but lacking for intensive self-management interventions. This study aims to explore recruitment, retention and effective intervention strategies in a 10-month group-based intervention among Dutch, Moroccan, Turkish and Surinamese patients from socioeconomically deprived neighbourhoods. Methods Participants were recruited through general practitioners (GPs) and participated in a 10-month social network-based intervention (10 groups, n=69): Powerful Together with Diabetes. This intervention also targeted the significant others of participants and aimed to increase social support for self-management and to decrease social influences hindering self-management. A qualitative process evaluation was conducted. Retention was measured using log books kept by group leaders. Further, we conducted 17 in-depth interviews with participants (multiethnic sample) and 18 with group leaders. Interviews were transcribed, coded and analysed using framework analyses. Results The GP's letter and reminder calls, an informational meeting and the intervention's informal nature facilitated recruitment. During the first months, positive group atmosphere, the intervention's perceived usefulness, opportunities to socialise and a reduction in practical barriers facilitated retention. After the first months, conflicting responsibilities and changes in the intervention's nature and planning hindered retention. Calls from group leaders and the prospect of a diploma helped participants overcome these barriers. Conclusion To promote retention in lengthy self-management interventions, it seems important that patients feel they are going on an outing to a social gathering that is enjoyable

  10. Network-Based Effectiveness

    National Research Council Canada - National Science Library

    Friman, Henrik

    2006-01-01

    ... (extended from Leavitt, 1965). This text identifies aspects of network-based effectiveness that can benefit from a better understanding of leadership and management development of people, procedures, technology, and organizations...

  11. Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

    Science.gov (United States)

    Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

    2017-01-01

    The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

  12. The impact of a social network based intervention on self-management behaviours among patients with type 2 diabetes living in socioeconomically deprived neighbourhoods: a mixed methods approach.

    Science.gov (United States)

    Vissenberg, Charlotte; Nierkens, Vera; van Valkengoed, Irene; Nijpels, Giel; Uitewaal, Paul; Middelkoop, Barend; Stronks, Karien

    2017-08-01

    This paper aims to explore the effect of the social network based intervention Powerful Together with Diabetes on diabetes self-management among socioeconomically deprived patients. This 10-month group intervention targeting patients and significant others aimed to improve self-management by stimulating social support and diminishing social influences that hinder self-management. This intervention was evaluated in a quasi-experimental study using a mixed methods approach. Of 131 socioeconomically deprived patients with suboptimal glycaemic control, 69 were assigned to the intervention group and 62 to the control group (standard diabetes education). 27 qualitative in-depth interviews with the participants and 24 with their group leaders were held to study the subjective impact of the intervention. Further, self-management behaviours (medication adherence, diet and physical activity) were assessed at baseline, 10 and 16 months. Data were analysed using framework analyses and a linear mixture model. Qualitative data showed that the intervention group had a better understanding of the way self-management influences diabetes. The intervention group showed more complex self-management behaviours, such as planning ahead, seeking adequate food and physical activity alternatives, and consistently taking their diabetes into consideration when making choices. In participants with complete follow-up data, we found a significant increase in physical activity in the intervention group (3.78 vs. 4.83 days) and no changes in medication adherence and diet. This study indicates that an intensive support group and simultaneously involving significant others might improve diabetes self-management behaviours among socioeconomically deprived patients. More studies are needed to justify further implementation of the intervention. This study is registered in the Dutch Trial Register NTR1886. http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1886.

  13. A DESIGN OF SOCIAL MEDIA ANALYSIS SYSTEM BASED ON MOBILE PLATFORMS

    OpenAIRE

    ALAYBEYOGLU, Aysegul; Yavuz, Levent

    2017-01-01

    Alongwith the developing technology, social media technologies have becomewidespread and the number of internet users has increased rapidly. In addition,social media platforms have become very popular and the number of active socialmedia users has increased considerably. As a result of the increased use ofsocial media, there has been a trend towards mobile platforms. In this paper, adesign of a social media analysis system is developed using mobile platformsbased on Android. By this way, impo...

  14. Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERN's Social Media Platforms

    Science.gov (United States)

    Baram-Tsabari, Ayelet

    2016-01-01

    Although the scientific community increasingly recognizes that its communication with the public may shape civic engagement with science, few studies have characterized how this communication occurs online. Social media plays a growing role in this engagement, yet it is not known if or how different platforms support different types of engagement. This study sets out to explore how users engage with science communication items on different platforms of social media, and what are the characteristics of the items that tend to attract large numbers of user interactions. Here, user interactions with almost identical items on five of CERN's social media platforms were quantitatively compared over an eight-week period, including likes, comments, shares, click-throughs, and time spent on CERN's site. The most popular items were qualitatively analyzed for content features. Findings indicate that as audience size of a social media platform grows, the total rate of engagement with content tends to grow as well. However, per user, engagement tends to decline with audience size. Across all platforms, similar topics tend to consistently receive high engagement. In particular, awe-inspiring imagery tends to frequently attract high engagement across platforms, independent of newsworthiness. To our knowledge, this study provides the first cross-platform characterization of public engagement with science on social media. Findings, although focused on particle physics, have a multidisciplinary nature; they may serve to benchmark social media analytics for assessing science communication activities in various domains. Evidence-based suggestions for practitioners are also offered. PMID:27232498

  15. Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERN's Social Media Platforms.

    Science.gov (United States)

    Kahle, Kate; Sharon, Aviv J; Baram-Tsabari, Ayelet

    2016-01-01

    Although the scientific community increasingly recognizes that its communication with the public may shape civic engagement with science, few studies have characterized how this communication occurs online. Social media plays a growing role in this engagement, yet it is not known if or how different platforms support different types of engagement. This study sets out to explore how users engage with science communication items on different platforms of social media, and what are the characteristics of the items that tend to attract large numbers of user interactions. Here, user interactions with almost identical items on five of CERN's social media platforms were quantitatively compared over an eight-week period, including likes, comments, shares, click-throughs, and time spent on CERN's site. The most popular items were qualitatively analyzed for content features. Findings indicate that as audience size of a social media platform grows, the total rate of engagement with content tends to grow as well. However, per user, engagement tends to decline with audience size. Across all platforms, similar topics tend to consistently receive high engagement. In particular, awe-inspiring imagery tends to frequently attract high engagement across platforms, independent of newsworthiness. To our knowledge, this study provides the first cross-platform characterization of public engagement with science on social media. Findings, although focused on particle physics, have a multidisciplinary nature; they may serve to benchmark social media analytics for assessing science communication activities in various domains. Evidence-based suggestions for practitioners are also offered.

  16. Twitter 101 and beyond: introduction to social media platforms available to practicing hematologist/oncologists.

    Science.gov (United States)

    Thompson, Michael A; Ahlstrom, Jenny; Dizon, Don S; Gad, Yash; Matthews, Greg; Luks, Howard J; Schorr, Andrew

    2017-10-01

    Social media utilizes specific media platforms to allow increased interactivity between participants. These platforms serve diverse groups and purposes including participation from patients, family caregivers, research scientists, physicians, and pharmaceutical companies. Utilization of these information outlets has increased with integration at conferences and between conferences with the use of hashtags and "chats". In the realm of the "e-Patient" it is key to not underestimate your audience. Highly technical information is just as useful as a basic post. With growing use, social media analytics help track the volume and impact of content. Additionally, platforms are leveraging each other for uses, including Twitter, blogs, web radio, and recorded video and images. We explore information on social media resources and applications from varying perspectives. While these platforms will evolve over time, or disappear with new platforms taking their place, it is apparent they are now a part of the everyday experience of oncology communication. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERN's Social Media Platforms

    CERN Document Server

    Kahle, Kate; Baram-Tsabari, Ayelet

    2016-01-01

    Although the scientific community increasingly recognizes that its communication with the public may shape civic engagement with science, few studies have characterized how this communication occurs online. Social media plays a growing role in this engagement, yet it is not known if or how different platforms support different types of engagement. This study sets out to explore how users engage with science communication items on different platforms of social media, and what are the characteristics of the items that tend to attract large numbers of user interactions. Here, user interactions with almost identical items on five of CERN's social media platforms were quantitatively compared over an eight-week period, including likes, comments, shares, click-throughs, and time spent on CERN's site. The most popular items were qualitatively analyzed for content features. Findings indicate that as audience size of a social media platform grows, the total rate of engagement with content tends to grow as well. However...

  18. Promoting social skills of mexican high school students through virtual activities in the Moodle platform

    National Research Council Canada - National Science Library

    Laura Yolanda RODRÍGUEZ MATAMOROS; María Luz CACHEIRO GONZÁLEZ; Juan Antonio GIL PASCUAL

    2014-01-01

    With the intention of promoting social skills of Mexican high school students based on the graduate profile of this level, virtual activities were implemented in the Moodle platform to 169 students...

  19. Disentangling the Effects of Collaborative Social Platforms on Organizational Knowledge Practices and Innovation

    DEFF Research Database (Denmark)

    Razmerita, Liana; Tan, Chee-Wee

    Social media has given birth to a novel paradigm of knowledge management that entails both formal and informal communication to bring about collaboration via diverse applications. Through online conversations and virtual interactions, the advent of social media is accompanied by unprecedented means...... of sharing, externalizing and retaining knowledge. In doing so, social media allows the articulation of personal and collective knowledge for innovation and value co-creation (Razmerita et al. 2014). Emerging social-collaborative platforms in the likes of Podio, Jive, Trello, Yammer, and Slack promote...... communication, collaboration, and project work. These platforms incorporate social media and networking functionalities for realizing both synchronous and asynchronous cooperative efforts. This study hence takes a critical view of the adoption and deployment of collaborative social platforms in a knowledge...

  20. Investigation on Requirements of Robotic Platforms to Teach Social Skills to Individuals with Autism

    Science.gov (United States)

    Nikolopoulos, Chris; Kuester, Deitra; Sheehan, Mark; Dhanya, Sneha

    This paper reports on some of the robotic platforms used in the project AUROSO which investigates the use of robots as educationally useful interventions to improve social interactions for individuals with Autism Spectrum Disorders (ASD). Our approach to treatment uses an educational intervention based on Socially Assistive Robotics (SAR), the DIR/Floortime intervention model and social script/stories. Requirements are established and a variety of robotic models/platforms were investigated as to the feasibility of an economical, practical and efficient means of helping teach social skills to individuals with ASD for use by teachers, families, service providers and other community organizations.

  1. Promoting social skills of mexican high school students through virtual activities in the Moodle platform

    OpenAIRE

    Laura Yolanda RODRÍGUEZ MATAMOROS; Cacheiro González, María Luz; Gil Pascual, Juan Antonio

    2014-01-01

    With the intention of promoting social skills of Mexican high school students based on the graduate profile of this level, virtual activities were implemented in the Moodle platform to 169 students of second year, adopting the proposed Goldstein social skills. In order to establish the impact of these activities to a pretest-postest a one group design was used. The results show that the activities had a positive and significant impact in beginning social skills, advanced social skills, skills...

  2. How does Snapchat as a social media marketing platform influence consumer behaviour?

    OpenAIRE

    Engelke, Fabienne

    2017-01-01

    2017 dissertation for MSc. International Business Management. Selected by academic staff as a good example of a masters level dissertation. While the use of social media has rapidly emerged during the past few years,\\ud more and more organisations noticed the potential of marketing on social\\ud media platforms and started integrating social media into their marketing\\ud communication strategies. Several researchers argue that social media has\\ud become one of the biggest influence in consumer...

  3. Social Investment after Neoliberalism: Policy Paradigms and Political Platforms.

    Science.gov (United States)

    Deeming, Christopher; Smyth, Paul

    2015-04-01

    The concept of the 'social investment state' refocuses attention on the productive function of social policy eclipsed for some time by the emphasis on its social protection or compensation roles. Here we distinguish between different social investment strategies, the Nordic 'heavy' and the Liberal 'light', with particular reference to the inclusive growth approach adopted in Australia. In 2007, social democrats in Australia returned to government with a clear mandate to reject the labour market deregulation and other neoliberal policies of its predecessor, and to tackle entrenched social and economic disadvantage in Australian society. For the last five years, social investment and inclusive growth has been at the centre of the Australian social policy agenda. Against this background, the article examines and critically assesses the (re)turn to 'social investment' thinking in Australia during Labor's term in office (2007-13). Analysis focuses not just on what was actually achieved, but also on the constraining role of prevailing economic and political circumstances and on the processes that were used to drive social investment reform. In many ways, the article goes some way to exposing ongoing tensions surrounding the distinctiveness of 'social investment' strategies pursued by leftist parties within the (neo)liberal state.

  4. Developing a Web Platform to Strategically evolve corporate social responsibility

    OpenAIRE

    Bhatnagar, Saumya

    2016-01-01

    Corporate Social Responsibility (CSR) has become an integral component of many companies especially technology companies. A huge percentage of technology companies want to engage their employees through corporate social responsibility as well; leading to the evolution of a new kind term- “Employee Community Engagement”. With 80% job seekers preferring to work for companies that are socially responsible and employee engagement reducing the staff turnover, CSR and employee engagement has become...

  5. Social media as a platform for science and health engagement: challenges and opportunities

    OpenAIRE

    Dixon, Graham

    2016-01-01

    Social media has become a major platform for debates on science and health. This commentary argues that while social media can present challenges to communicating important health matters, it can also provide health experts a unique opportunity to engage with and build trust among members of the public.

  6. Social media as a platform for science and health engagement: challenges and opportunities.

    Science.gov (United States)

    Dixon, Graham

    2016-01-01

    Social media has become a major platform for debates on science and health. This commentary argues that while social media can present challenges to communicating important health matters, it can also provide health experts a unique opportunity to engage with and build trust among members of the public.

  7. AxeCorp's "Team Challenge": Teaching Teamwork via 3D Social Networking Platforms

    Science.gov (United States)

    Carmichael, Kendra

    2011-01-01

    To prepare business communication undergraduates for a changing work world and to engage today's tech-savvy students, many instructors have embraced social media by incorporating its use in the classroom. This article describes AxeCorp, a fictional company headquartered on the immersive social networking platform, Second Life, and one particular…

  8. Promoting social skills of mexican high school students through virtual activities in the Moodle platform

    Directory of Open Access Journals (Sweden)

    Laura Yolanda RODRÍGUEZ MATAMOROS

    2014-11-01

    Full Text Available With the intention of promoting social skills of Mexican high school students based on the graduate profile of this level, virtual activities were implemented in the Moodle platform to 169 students of second year, adopting the proposed Goldstein social skills. In order to establish the impact of these activities to a pretest-postest a one group design was used. The results show that the activities had a positive and significant impact in beginning social skills, advanced social skills, skills for dealing with feeling, social alternatives skills of the participants according to the results obtained by skills scale social Goldstein.

  9. A cloud collaborative medical image platform oriented by social network

    Science.gov (United States)

    Muniz, Frederico B.; Araújo, Luciano V.; Nunes, Fátima L. S.

    2017-03-01

    Computer-aided diagnosis systems using medical images and three-dimensional models as input data have greatly expanded and developed, but in terms of building suitable image databases to assess them, the challenge remains. Although there are some image databases available for this purpose, they are generally limited to certain types of exams or contain a limited number of medical cases. The objective of this work is to present the concepts and the development of a collaborative platform for sharing medical images and three-dimensional models, providing a resource to share and increase the number of images available for researchers. The collaborative cloud platform, called CATALYZER, aims to increase the availability and sharing of graphic objects, including 3D images, and their reports that are essential for research related to medical images. A survey conducted with researchers and health professionals indicated that this could be an innovative approach in the creation of medical image databases, providing a wider variety of cases together with a considerable amount of shared information among its users.

  10. Platformation: Cloud Computing Tools at the Service of Social Change

    Directory of Open Access Journals (Sweden)

    Anil Patel

    2012-07-01

    Full Text Available The following article establishes some context and definitions for what is termed the “sharing imperative” – a movement or tendency towards sharing information online and in real time that has rapidly transformed several industries. As internet-enabled devices proliferate to all corners of the globe, ways of working and accessing information have changed. Users now expect to be able to access the products, services, and information that they want from anywhere, at any time, on any device. This article addresses how the nonprofit sector might respond to those demands by embracing the sharing imperative. It suggests that how well an organization shares has become one of the most pressing governance questions a nonprofit organization must tackle. Finally, the article introduces Platformation, a project whereby tools that enable better inter and intra-organizational sharing are tested for scalability, affordability, interoperability, and security, all with a non-profit lens.

  11. Mobile Technology: Binding Social and Cloud into a New Enterprise Applications Platform

    Directory of Open Access Journals (Sweden)

    Luminita HURBEAN

    2013-01-01

    Full Text Available Nowadays, the IT industry is revolving around the build-out and adoption of a new platform, characterized by mobility, cloud-based application and service delivery, and value-generating overlays of social business and pervasive analytics. The paper explores the convergence of mobile, cloud, and social, as well as the effects for the enterprise and the emergence of the new enterprise application platforms. In the beginning we set the stage, while showing the ex-pansion of the mobile, cloud, and social in the business information system, as they were found in the literature. We then look over the IT trends, especially the consumerization of IT, as reasons and basis for the information systems embracing of mobile. Afterwards, we present a mobility roadmap for the enterprise and illustrate the reconfiguration of the enterprise ap-plication platform.

  12. Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers

    Directory of Open Access Journals (Sweden)

    Rena Bivens

    2016-10-01

    Full Text Available In recent years, several popular social media platforms have launched freeform custom gender fields. This decision reconstitutes gender categories beyond an oppressive binary only permitting “males” and “females.” In this work, we uncover many different user-facing gender category design strategies within the social media ecosystem, ranging from custom gender options (on Facebook, Google+, and Pinterest to the absence of gender fields entirely (on Twitter and LinkedIn. To explore how gender is baked into platform design, this article investigates the 10 most popular English-speaking social media platforms by performing recorded walkthroughs from two different subject positions: (1 a new user registering an account, and (2 a new advertiser creating an ad. We explore several different spaces in social media software where designers commonly program gender—sign-up pages, profile pages, and advertising portals—to consider (1 how gender is made durable through social media design, and (2 the shifting composition of the category of gender within the social media ecosystem more broadly. Through this investigation, we question how these categorizations attribute meaning to gender as they materialize in different software spaces, along with the recursive implications for society. Ultimately, our analysis reveals how social media platforms act as intermediaries within the larger ecosystem of advertising and web analytics companies. We argue that this intermediary role entrusts social media platforms with a considerable degree of control over the generation of broader categorization systems, which can be wielded to shape the perceived needs and desires of both users and advertising clients.

  13. How Social-Media Enhanced Learning Platforms Support Students in Taking Responsibility for Their Own Learning

    DEFF Research Database (Denmark)

    Pals Svendsen, Lisbet; Mondahl, Margrethe

    2013-01-01

    -Portfolios and other Social Networking Services and on the authors’ research on ICT and social media enhanced learning in the foreign language/intercultural learning high school and university environment. Design/methodology/approach – The paper discusses learning in general and didactic practices in the two sectors......Purpose – The paper is based on the chapter “How Social Media Enhanced Learning Platforms Challenge and Motivate Students to Take Charge of Their Own Learning Processes – A Few Examples” from the publication Increasing Student Engagement and Retention using Social Technologies: Facebook, e...... and how social media enhanced learning platforms challenge and motivate students in their learning processes. Findings – The paper provides examples from didactic experiments carried out at the Copenhagen Business School and in Danish high schools. The authors focus on the changing role of teachers from...

  14. Model, Framework, and Platform of Health Persuasive Social Network

    Science.gov (United States)

    Al Ayubi, Soleh Udin

    2013-01-01

    Persuasive technology (PT) has the potential to support individuals to perform self-management and social support as a part of health behavior change. This has led a few researchers in the intersection of the areas of health behavior change and software engineering to apply behavior change and persuasion theories to software development practices,…

  15. Multi-donor Research Platform on Social Protection, Financial ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    . Having little or no savings can be devastating for poor ... Plateforme de recherche sur la protection sociale, l'inclusion financière et les TIC financée par plusieurs bailleurs de fonds. Le fait de ne pas avoir d'économies ou de ne presque pas ...

  16. Health care and social media platforms in hospitals.

    Science.gov (United States)

    McCarroll, Michele L; Armbruster, Shannon D; Chung, Jae Eun; Kim, Junghyun; McKenzie, Alissa; von Gruenigen, Vivian E

    2014-01-01

    The objective of this article is to illustrate user characteristics of a hospital's social media structure using analytics and user surveys. A 1-year retrospective analysis was conducted along with an Internet survey of users of the hospital's Facebook, Twitter, and blog. Of the survey respondents (n = 163), 95.7% are female and 4.3% are male; most are ages 50-59 years (31.5%) and 40-49 years (27.8%); and 93.2% are Caucasian. However, the hospital system database revealed 55% female and 37% minority population, respectively. Of the survey respondents, 61.4% reported having a bachelor's degree or higher, whereas only 11.7% reported having a high school degree/equivalent or lower. However, within the hospital patient databases, 93% of patients have a high school degree/equivalent or lower and only 3% have a bachelor's degree or higher in our women's services population. Social media were used to seek personal health information 68.7% (n = 112), to learn about hospital programming 27.6% (n = 45), and to seek family health information 25.2% (n = 41). Respondents younger than 49 years of age were more likely to seek personal health information using social media compared to those 50 years of age and older (p = .02). Respondents with a bachelor's degree or higher education were statistically less likely to search for physician information compared to those less educated individuals (p = .04). We conclude that social media may play an important role in personal health information, especially for young female respondents; however, the survey provides strong evidence that further research is needed to ensure that social network sites provided by hospitals are reaching the full spectrum of health system patients.

  17. UrbanWeb: a Platform for Mobile Context-aware Social Computing

    DEFF Research Database (Denmark)

    Hansen, Frank Allan; Grønbæk, Kaj

    2010-01-01

    UrbanWeb is a novel Web-based context-aware hypermedia plat- form. It provides essential mechanisms for mobile social comput- ing applications: the framework implements context as an exten- sion to Web 2.0 tagging and provides developers with an easy to use platform for mobile context-aware appli......UrbanWeb is a novel Web-based context-aware hypermedia plat- form. It provides essential mechanisms for mobile social comput- ing applications: the framework implements context as an exten- sion to Web 2.0 tagging and provides developers with an easy to use platform for mobile context...

  18. Effects of Social Network Exposure on Nutritional Learning: Development of an Online Educational Platform.

    Science.gov (United States)

    Dagan, Noa; Beskin, Daniel; Brezis, Mayer; Reis, Ben Y

    2015-10-05

    Social networking sites (SNSs) such as Facebook have the potential to enhance online public health interventions, in part, as they provide social exposure and reinforcement. The objective of the study was to evaluate whether social exposure provided by SNSs enhances the effects of online public health interventions. As a sample intervention, we developed Food Hero, an online platform for nutritional education in which players feed a virtual character according to their own nutritional needs and complete a set of virtual sport challenges. The platform was developed in 2 versions: a "private version" in which a user can see only his or her own score, and a "social version" in which a user can see other players' scores, including preexisting Facebook friends. We assessed changes in participants' nutritional knowledge using 4 quiz scores and 3 menu-assembly scores. Monitoring feeding and exercising attempts assessed engagement with the platform. The 2 versions of the platform were randomly assigned between a study group (30 members receiving the social version) and a control group (33 members, private version). The study group's performance on the quizzes gradually increased over time, relative to that of the control group, becoming significantly higher by the fourth quiz (P=.02). Furthermore, the study group's menu-assembly scores improved over time compared to the first score, whereas the control group's performance deteriorated. Study group members spent an average of 3:40 minutes assembling each menu compared to 2:50 minutes in the control group, and performed an average of 1.58 daily sport challenges, compared to 1.21 in the control group (P=.03). This work focused on isolating the SNSs' social effects in order to help guide future online interventions. Our results indicate that the social exposure provided by SNSs is associated with increased engagement and learning in an online nutritional educational platform.

  19. Social Media as a Platform for Surgical Learning: Use and Engagement Patterns Among Robotic Surgeons.

    Science.gov (United States)

    Myers, Christopher G; Kudsi, Omar Yusef; Ghaferi, Amir A

    2018-02-01

    : In response to technological advances and growing dispersion of surgical practice around the globe, social media platforms have emerged in recent years as channels for surgeons to share experiences, ask questions, and learn from one another. To better understand surgeons' engagement with these platforms, we analyzed data from a closed-membership Facebook group for robotic surgeons. Our analysis revealed that surgeons posted more frequently on midweek days, and further that text posts received significantly more comments, and significantly fewer "likes," than posts containing links, photos, or videos. We discuss the implications of these use and engagement patterns for the viability of social media platforms as tools for surgeons to learn vicariously from their peers' experiences and expertise.

  20. Attitudes to social media use as a platform for Continuing Professional Development (CPD) within occupational therapy

    OpenAIRE

    Murray, Kelly; Ward, Kath

    2017-01-01

    Introduction: This study explored what influences the use of social media platforms within the CPD of occupational therapy students and qualified occupational therapists. It also considered perceived barriers to its use and whether age in line with generation theory, in particular digital natives vs digital immigrants impacted on willingness to utilise social media within CPD.\\ud \\ud Method: A mixed method survey design was utilised to collect qualitative and quantitative data through an onli...

  1. Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers

    OpenAIRE

    Rena Bivens; Oliver L Haimson

    2016-01-01

    In recent years, several popular social media platforms have launched freeform custom gender fields. This decision reconstitutes gender categories beyond an oppressive binary only permitting “males” and “females.” In this work, we uncover many different user-facing gender category design strategies within the social media ecosystem, ranging from custom gender options (on Facebook, Google+, and Pinterest) to the absence of gender fields entirely (on Twitter and LinkedIn). To explore how gender...

  2. From Noxious to Public? Tracing Ethical Dynamics of Social Media Platform Conversions

    Directory of Open Access Journals (Sweden)

    Mike Ananny

    2015-04-01

    Full Text Available Sometimes, some social media marketplaces turn from noxious to public. Why do such conversions happen, what do they reveal about a platform’s definition of “public,” and when should they happen? Drawing on contemporary examples, this article examines some of the empirical and normative dimensions of platform conversions.

  3. Wersync: A WEB-BASED PLATFORM FOR DISTRIBUTED MEDIA SYNCHRONIZATION AND SOCIAL INTERACTION

    NARCIS (Netherlands)

    J. Belda (Jordi); M.A. Montagud Climent (Mario); F. Boronat (Fernando); M. Martinez; J. Pastor (Javier)

    2015-01-01

    htmlabstractThis paper presents Wersync, which is an adaptive and accurate web-based platform that enables distributed media synchronization and social interaction across remote users. By using Wersync, users can create or join on-going sessions for concurrently consuming the same media content

  4. Assistive/Socially Assistive Robotic Platform for Therapy and Recovery: Patient Perspectives

    Directory of Open Access Journals (Sweden)

    Matthew White

    2013-01-01

    Full Text Available Improving adherence to therapy is a critical component of advancing outcomes and reducing the cost of rehabilitation. A robotic platform was previously developed to explore how robotics could be applied to the social dimension of rehabilitation to improve adherence. This paper aims to report on feedback given by end users of the robotic platform as well as the practical applications that socially assistive robotics could have in the daily life activities of a patient. A group of 10 former and current patients interacted with the developed robotic platform during a simulated exercise session before taking an experience-based survey. A portion of these participants later provided verbal feedback as part of a focus group on the potential utility of such a platform. Identified applications included assistance with reaching exercise goals, managing to-do lists, and supporting participation in social and recreational activities. The study participants expressed that the personality characteristics of the robotic system should be adapted to individual preferences and that the assistance provided over time should align with the progress of their recovery. The results from this study are encouraging and will be useful for further development of socially assistive robotics.

  5. Promoting Oral Health Using Social Media Platforms: Seeking Arabic Online Oral Health Related Information (OHRI).

    Science.gov (United States)

    Almaiman, Sarah; Bahkali, Salwa; Alabdulatif, Norah; Bahkaly, Ahlam; Al-Surimi, Khaled; Househ, Mowafa

    2016-01-01

    Access to oral health care services around the world is limited by a lack of universal coverage. The internet and social media can be an important source for patients to access supplementary oral health related information (OHRI). Online OHRI presents an opportunity to enhance dental public health education about innumerable oral health issues and promote dental self-care. The aim of this study is to estimate the prevalence of social media users among the Saudi population and identify the preferred social media platform for seeking Arabic OHRI and its impact on seekers' knowledge, attitude, and behavior. A total of 2652 Twitter followers were surveyed, using a web-based self-administered questionnaire to collect data on demographic characteristics and online OHRI seeking behavior More than two thirds, 67.7% (n= 1796), of the participants reported they were seeking Arabic online OHRI, while 41.1% of the participants reported they had no preference for using a specific social media platform. These results emphasize the need and importance of supporting the content of social media with trusted and high quality online OHRI resources to promote a high level of public awareness about oral health and dental health services. Further studies in this regard are highly recommended on a larger scale of nationalities to explore the role of social media platform preference in promoting health promotion and dental public health awareness.

  6. Social Media as Platform for Stimulating Urban Changes

    Directory of Open Access Journals (Sweden)

    Evija Zača

    2016-09-01

    Full Text Available Images have always been an important part of city planning – current images of place, images with planned improvements, maps and sketches. Some time ago all that was a private property of stakeholders like planner and client. But nowadays this confidentiality rather much has vanished – no copyrights or competition is noteworthy. Plans do not have their privacy anymore. They are exposed even before they got implemented. This article will display why city planners share the images of their ideas, of their dreams in public (mostly in blogs and social networks – why it is important for them and what kind of feedback they are waiting for. This article is based on case study where 12 respondents (urban planners, architects, lecturers were interviewed. They explained their own experience and how this type of communication with a wider public inspires some new initiatives and even realisation of some plans. This article is an insight of nowadays communication between planners and society that can result in some practical outcomes.

  7. Exploring the Role of Syntactic Information on User Behavior in Online Social Platforms

    DEFF Research Database (Denmark)

    Sjöklint, Mimmi

    2013-01-01

    The proliferation of information technologies, applications and online services has changed the way users access information. In particular, an increasing amount of users engage with online social platforms on a daily basis where they are exposed to a continuous stream of information. A great deal...... information. Nevertheless, it became clear that public syntactic information was still unconsciously processed and applied as a measure or benchmark on the online social content....... of this information is available through numbers and numbers as self-representative visualisations such as likes, views, shares, endorsements and diggs, which sparked an interest in its role in influencing users. This study thus explores the role of syntactic information on user behaviour in online social platforms...

  8. Exploring Affordances of Facebook as a Social Media Platform in Political Campaigning

    DEFF Research Database (Denmark)

    Jensen, Tina Blegind; Dyrby, Signe

    2013-01-01

    In recent years we have witnessed political parties adopting social media as part of their election campaign strategy to encourage citizen participation and involvement. The purpose of this paper is to investigate what Facebook as a social media platform is perceived to afford political parties...... to promote political interests and enable dialogue, 2) projection of an image of authenticity through informal media and 3) creating interaction and involvement through dynamic relationships with supporters. A closer look at the parties’ actual use of Facebook shows that the majority of the intended...... engaging in social media activities as part of their campaign strategy....

  9. The legal implications of defamatory statements on social media platforms in South Africa / Leonhard Hugo Homann

    OpenAIRE

    Homann, Leonhard Hugo

    2015-01-01

    With the fast pace that technology is currently developing, technology forms a bigger part of our day to day lives. Technological advancement has an impact on all aspects of life, including how we communicate with one another. This has caused an increase in social media usage. South Africa is in no way an exception to this growing trend. The escalation of the use of social media platforms has brought with it the rise in the wrongful use of social media. The growth in wrongful u...

  10. Interdisciplinary Analysis of Drought Communication Through Social Media Platforms and Risk Communication

    Science.gov (United States)

    Wygant, M.

    2015-12-01

    As droughts continue to impact businesses and communities throughout the United States, there needs to be a greater emphasis on drought communication through interdisciplinary approaches, risk communication, and digital platforms. The purpose of this research is to provide an overview of the current literature on communicating drought and suggests areas for further improvement. Specifically, this research focuses on communicating drought through social media platforms such as Facebook, Twitter, and Instagram. It also focuses on the conglomeration of theoretical frameworks within the realm of risk communication, to provide a strong foundation towards future drought communication. This research proposal provides a critical step to advocate for paradigmatic shifts within natural hazard communication.

  11. Social Media Platforms as a Tool for Sharing Emotions. A Perspective upon the National Security Agencies

    Directory of Open Access Journals (Sweden)

    Ramona-Diana LEON

    2016-05-01

    Full Text Available Emotions importance increases even more in the context of the national security agencies. Since their mission is to protect and defend the citizens against attacks and also to provide leadership and justice services to other agencies and partners, the aim of the information they post on social media should be twofold: on the one hand, it should reflect the attitudes, values and beliefs, supported by the institution, and on the other hand, it should have an impact on citizens feeling of security. But, do they manage to meet these demands? Are they focusing on impressing the audience or they concentrate on sharing specific emotions? Is it a marketing strategy or a knowledge strategy? Starting from these, the purpose of this research is to set a nexus between emotions and the use of social media by the national security organizations. In other words, we aim (i to determine the main types of emotions, (ii to establish whether these are shared within the social media platforms, (iii to identify the purpose for which the national security organizations use social media, (iv to determine whether social media could serve as Ba for the national security organizations. In order to achieve these objectives, we employ an ethic approach and develop a longitudinal study based on quantitative and qualitative content analysis. The results prove that social media platforms may serve as Ba since they appear as a shared space which fosters individual and collective knowledge creation and sharing. The national security agencies  use social media platforms for combining the classical four types of Ba: originating Ba (it shares its emotions, feelings and thoughts through its posts, interacting Ba (through the generated reactions and comments, it ensures the development of shared models and the conversion of tacit knowledge into explicit knowledge, cyber Ba (by fostering the virtual interaction among its followers and exercising Ba (by facilitating the creation of

  12. From Mass Production to Mass Collaboration: Institutionalized Hindrances to Social Platforms in the Workplace

    Directory of Open Access Journals (Sweden)

    Lene Pettersen

    2014-12-01

    Full Text Available This article addresses the importance of institutionalized practices when social media are introduced as collective platforms for the workplace and why the great engagement envisioned for these tools has yet to be realized in organizational settings. Innovation, in this article, points to practices that individuals perceive as new. Innovation thus also concerns social changes: the introduction of new practices to be employed by individuals within social structures. The dynamics in the workplace and in distributed networks (e.g. Wikipedia are compared and found to operate with different social structures, with different practices at play, yet collective and engaging actions are expected from employees with the introduction of social platforms. The nature of our notion of work in the workplace is colored by organization and measurement in time and money derived from a capitalistic paradigm, yet drivers at play in distributed networks are not measured in quantitative terms (time and money, but on quality (good work, strong reputation, high social status, and so forth. The article points to findings from a comprehensive qualitative case study of knowledge workers employed in a knowledge-intensive organization in twenty-three countries in Europe, North Africa, and the Middle East. Twenty-seven in-depth interviews and field studies of professional knowledge-workers in Norway, Denmark, UK and Morocco was conducted during 2011, with follow-up interviews of eight of the participants from Morocco and Norway after one year. Many of the employees in our study explain that the company’s social platform becomes just another thing to track amidst in an already hectic workday where individual drivers triumph over collective priorities.

  13. myCourse: An Educational Content Management Platform with Social Networking Characteristics

    Directory of Open Access Journals (Sweden)

    Ioannis Ignatiadis

    2010-12-01

    Full Text Available We adopt the direction towards new educational and pedagogic paradigms, where learning is a process of emergence and co-evolution of the individual, the social group and the wider society. In this direction, Service-Oriented Architectures are becoming a popular system paradigm for e-learning. In this article, we present our research and development efforts to provide a social networking learning platform for developing services which address the personal learning needs of the users and enable them to create value. We also present the specific characteristics of our community driven service framework and discuss our approach in comparison to other similar approaches and frameworks.

  14. Using Social Media, Online Social Networks, and Internet Search as Platforms for Public Health Interventions: A Pilot Study.

    Science.gov (United States)

    Huesch, Marco D; Galstyan, Aram; Ong, Michael K; Doctor, Jason N

    2016-06-01

    To pilot public health interventions at women potentially interested in maternity care via campaigns on social media (Twitter), social networks (Facebook), and online search engines (Google Search). Primary data from Twitter, Facebook, and Google Search on users of these platforms in Los Angeles between March and July 2014. Observational study measuring the responses of targeted users of Twitter, Facebook, and Google Search exposed to our sponsored messages soliciting them to start an engagement process by clicking through to a study website containing information on maternity care quality information for the Los Angeles market. Campaigns reached a little more than 140,000 consumers each day across the three platforms, with a little more than 400 engagements each day. Facebook and Google search had broader reach, better engagement rates, and lower costs than Twitter. Costs to reach 1,000 targeted users were approximately in the same range as less well-targeted radio and TV advertisements, while initial engagements-a user clicking through an advertisement-cost less than $1 each. Our results suggest that commercially available online advertising platforms in wide use by other industries could play a role in targeted public health interventions. © Health Research and Educational Trust.

  15. Utilization of Social Media Platforms for Educational Purposes among the Faculty of Higher Education with Special Reference to Tamil Nadu

    Science.gov (United States)

    Vivakaran, Mangala Vadivu; Neelamalar, M.

    2018-01-01

    Social media tools are observed to play a vital role in the renovation of the conventional teaching and learning practices across the globe. Though primarily developed for online social communication, social media platforms tend to possess suitable tools that can be used for instructional purposes in order to initiate active learning among…

  16. Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support

    Directory of Open Access Journals (Sweden)

    Kapadia Dharmi

    2011-05-01

    Full Text Available Abstract Background Increasing the effective targeting and promotion of self-care support for long-term conditions requires more of a focus on patient contexts and networks. The aim of this paper is to describe how within a programme of research and implementation, social networks are viewed as being centrally involved in the mobilisation and deployment of resources in the management of a chronic condition. This forms the basis of a novel approach to understanding, designing, and implementing new forms of self-management support. Methods Drawing on evidence syntheses about social networks and capital and the role of information in self-management, we build on four conceptual approaches to inform the design of our research on the implementation of self-care support for people with long-term conditions. Our approach takes into consideration the form and content of social networks, notions of chronic illness work, normalisation process theory (NPT, and the whole systems informing self-management engagement (WISE approach to self-care support. Discussion The translation and implementation of a self-care agenda in contemporary health and social context needs to acknowledge and incorporate the resources and networks operating in patients' domestic and social environments and everyday lives. The latter compliments the focus on healthcare settings for developing and delivering self-care support by viewing communities and networks, as well as people suffering from long-term conditions, as a key means of support for managing long-term conditions. By focusing on patient work and social-network provision, our aim is to open up a second frontier in implementation research, to translate knowledge into better chronic illness management, and to shift the emphasis towards support that takes place outside formal health services.

  17. Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support.

    Science.gov (United States)

    Rogers, Anne; Vassilev, Ivaylo; Sanders, Caroline; Kirk, Susan; Chew-Graham, Carolyn; Kennedy, Anne; Protheroe, Joanne; Bower, Peter; Blickem, Christian; Reeves, David; Kapadia, Dharmi; Brooks, Helen; Fullwood, Catherine; Richardson, Gerry

    2011-05-29

    Increasing the effective targeting and promotion of self-care support for long-term conditions requires more of a focus on patient contexts and networks. The aim of this paper is to describe how within a programme of research and implementation, social networks are viewed as being centrally involved in the mobilisation and deployment of resources in the management of a chronic condition. This forms the basis of a novel approach to understanding, designing, and implementing new forms of self-management support. Drawing on evidence syntheses about social networks and capital and the role of information in self-management, we build on four conceptual approaches to inform the design of our research on the implementation of self-care support for people with long-term conditions. Our approach takes into consideration the form and content of social networks, notions of chronic illness work, normalisation process theory (NPT), and the whole systems informing self-management engagement (WISE) approach to self-care support. The translation and implementation of a self-care agenda in contemporary health and social context needs to acknowledge and incorporate the resources and networks operating in patients' domestic and social environments and everyday lives. The latter compliments the focus on healthcare settings for developing and delivering self-care support by viewing communities and networks, as well as people suffering from long-term conditions, as a key means of support for managing long-term conditions. By focusing on patient work and social-network provision, our aim is to open up a second frontier in implementation research, to translate knowledge into better chronic illness management, and to shift the emphasis towards support that takes place outside formal health services.

  18. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms.

    Science.gov (United States)

    Alyami, Mohsen; Giri, Bachan; Alyami, Hussain; Sundram, Frederick

    2017-08-01

    The aim of this systematic review is twofold: (1) to characterise the purpose and description of available social anxiety apps and (2) to review the evidence on the effectiveness of social anxiety apps. A search was conducted on three major mobile platforms: Apple iTunes, Google Play and Windows Store. Apps were included if they addressed social anxiety and used an English language interface. A systematic review of the literature from MEDLINE, EMBASE, PsycINFO, Cochrane, Scopus and Web of Science to identify evidence-based evaluations of social anxiety apps was also undertaken. Of the 1154 apps identified, 38 apps met the inclusion criteria: iTunes (n=18), Google Play (n=16) and Windows Store (n=4). Over 60% of apps were exclusively focused on social anxiety, while the remainder targeted social anxiety and related conditions. Most developers did not provide information on their organisational affiliations or their content source. Most apps used multimedia while 17 apps used text only. Finally, although the systematic review of the literature identified 94 articles, none of which met inclusion criteria. Social anxiety apps have the potential to overcome barriers to accessing treatment; however, none of the apps identified have had studies on their effectiveness published. As the evidence base is lacking, it is therefore not currently possible to recommend their use. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  19. Naturally-Emerging Technology-Based Leadership Roles in Three Independent Schools: A Social Network-Based Case Study Using Fuzzy Set Qualitative Comparative Analysis

    Science.gov (United States)

    Velastegui, Pamela J.

    2013-01-01

    This hypothesis-generating case study investigates the naturally emerging roles of technology brokers and technology leaders in three independent schools in New York involving 92 school educators. A multiple and mixed method design utilizing Social Network Analysis (SNA) and fuzzy set Qualitative Comparative Analysis (FSQCA) involved gathering…

  20. Impact of a social network-based intervention promoting diabetes self-management in socioeconomically deprived patients: a qualitative evaluation of the intervention strategies.

    Science.gov (United States)

    Vissenberg, C; Stronks, K; Nijpels, G; Uitewaal, P J M; Middelkoop, B J C; Kohinor, M J E; Hartman, M A; Nierkens, V

    2016-04-13

    There is a need for effective interventions that improve diabetes self-management (DSM) among socioeconomically deprived patients with type 2 diabetes. The group-based intervention Powerful Together with Diabetes (PTWD) aimed to increase social support for DSM and decrease social influences hindering DSM (eg, peer pressure, social norms) in patients living in deprived neighbourhoods. Through a qualitative process evaluation, this paper aims to study whether this intervention changed social support and social influences, and which elements of the intervention contributed to this. The intervention group (IG) was compared with a standard group-based educational intervention (control group, CG). 27 qualitative in-depth interviews with participants (multiethnic sample) and 24 interviews with group leaders were conducted. Interviews were coded and analysed using MAXQDA according to framework analysis. Patients in the IG experienced more emotional support from group members and more instrumental and appraisal support from relatives than those in the CG. Also, they were better able to recognise and cope with influences that hinder their DSM, exhibited more positive norms towards DSM and increased their priority regarding DSM and their adherence. Finally, the engagement in DSM by relatives of participants increased. Creating trust between group members, skills training, practising together and actively involving relatives through action plans contributed to these changes. A group-based intervention aimed at creating trust, practising together and involving relatives has the potential to increase social support and diminish social influences hindering DSM in socioeconomically deprived patients with diabetes. Promising elements of the intervention were skills training and providing feedback using role-playing exercises in group sessions with patients, as well as the involvement of patients' significant others in self-management tasks, and actively involving them in making an

  1. PREDOSE: a semantic web platform for drug abuse epidemiology using social media.

    Science.gov (United States)

    Cameron, Delroy; Smith, Gary A; Daniulaityte, Raminta; Sheth, Amit P; Dave, Drashti; Chen, Lu; Anand, Gaurish; Carlson, Robert; Watkins, Kera Z; Falck, Russel

    2013-12-01

    The role of social media in biomedical knowledge mining, including clinical, medical and healthcare informatics, prescription drug abuse epidemiology and drug pharmacology, has become increasingly significant in recent years. Social media offers opportunities for people to share opinions and experiences freely in online communities, which may contribute information beyond the knowledge of domain professionals. This paper describes the development of a novel semantic web platform called PREDOSE (PREscription Drug abuse Online Surveillance and Epidemiology), which is designed to facilitate the epidemiologic study of prescription (and related) drug abuse practices using social media. PREDOSE uses web forum posts and domain knowledge, modeled in a manually created Drug Abuse Ontology (DAO--pronounced dow), to facilitate the extraction of semantic information from User Generated Content (UGC), through combination of lexical, pattern-based and semantics-based techniques. In a previous study, PREDOSE was used to obtain the datasets from which new knowledge in drug abuse research was derived. Here, we report on various platform enhancements, including an updated DAO, new components for relationship and triple extraction, and tools for content analysis, trend detection and emerging patterns exploration, which enhance the capabilities of the PREDOSE platform. Given these enhancements, PREDOSE is now more equipped to impact drug abuse research by alleviating traditional labor-intensive content analysis tasks. Using custom web crawlers that scrape UGC from publicly available web forums, PREDOSE first automates the collection of web-based social media content for subsequent semantic annotation. The annotation scheme is modeled in the DAO, and includes domain specific knowledge such as prescription (and related) drugs, methods of preparation, side effects, and routes of administration. The DAO is also used to help recognize three types of data, namely: (1) entities, (2

  2. Eb&D: A new clustering approach for signed social networks based on both edge-betweenness centrality and density of subgraphs

    Science.gov (United States)

    Qi, Xingqin; Song, Huimin; Wu, Jianliang; Fuller, Edgar; Luo, Rong; Zhang, Cun-Quan

    2017-09-01

    Clustering algorithms for unsigned social networks which have only positive edges have been studied intensively. However, when a network has like/dislike, love/hate, respect/disrespect, or trust/distrust relationships, unsigned social networks with only positive edges are inadequate. Thus we model such kind of networks as signed networks which can have both negative and positive edges. Detecting the cluster structures of signed networks is much harder than for unsigned networks, because it not only requires that positive edges within clusters are as many as possible, but also requires that negative edges between clusters are as many as possible. Currently, we have few clustering algorithms for signed networks, and most of them requires the number of final clusters as an input while it is actually hard to predict beforehand. In this paper, we will propose a novel clustering algorithm called Eb &D for signed networks, where both the betweenness of edges and the density of subgraphs are used to detect cluster structures. A hierarchically nested system will be constructed to illustrate the inclusion relationships of clusters. To show the validity and efficiency of Eb &D, we test it on several classical social networks and also hundreds of synthetic data sets, and all obtain better results compared with other methods. The biggest advantage of Eb &D compared with other methods is that the number of clusters do not need to be known prior.

  3. The social in the platform trap: Why a microscopic system focus limits the prospect of social machines

    OpenAIRE

    Luczak-Roesch, Markus; Tinati, Ramine

    2017-01-01

    “Filter bubble”, “echo chambers”, “information diet” – the metaphors to describe today’s information dynamics on social media platforms are fairly diverse (Tufekci, 2016). People use them to describe the impact of the viral spread of fake, biased or purposeless content online, as witnessed during the recent race for the US presidency or the latest outbreak of the Ebola virus (in the latter case a tasteless racist meme was drowning out any meaningful content). This unravels the potential envis...

  4. Leveraging socially networked mobile ICT platforms for the last-mile delivery problem.

    Science.gov (United States)

    Suh, Kyo; Smith, Timothy; Linhoff, Michelle

    2012-09-04

    Increasing numbers of people are managing their social networks on mobile information and communication technology (ICT) platforms. This study materializes these social relationships by leveraging spatial and networked information for sharing excess capacity to reduce the environmental impacts associated with "last-mile" package delivery systems from online purchases, particularly in low population density settings. Alternative package pickup location systems (PLS), such as a kiosk on a public transit platform or in a grocery store, have been suggested as effective strategies for reducing package travel miles and greenhouse gas emissions, compared to current door-to-door delivery models (CDS). However, our results suggest that a pickup location delivery system operating in a suburban setting may actually increase travel miles and emissions. Only once a social network is employed to assist in package pickup (SPLS) are significant reductions in the last-mile delivery distance and carbon emissions observed across both urban and suburban settings. Implications for logistics management's decades-long focus on improving efficiencies of dedicated distribution systems through specialization, as well as for public policy targeting carbon emissions of the transport sector are discussed.

  5. Systematic review of surveillance by social media platforms for illicit drug use.

    Science.gov (United States)

    Kazemi, Donna M; Borsari, Brian; Levine, Maureen J; Dooley, Beau

    2017-12-01

    The use of social media (SM) as a surveillance tool of global illicit drug use is limited. To address this limitation, a systematic review of literature focused on the ability of SM to better recognize illicit drug use trends was addressed. A search was conducted in databases: PubMed, CINAHL via Ebsco, PsychINFO via Ebsco, Medline via Ebsco, ERIC, Cochrane Library, Science Direct, ABI/INFORM Complete and Communication and Mass Media Complete. Included studies were original research published in peer-reviewed journals between January 2005 and June 2015 that primarily focused on collecting data from SM platforms to track trends in illicit drug use. Excluded were studies focused on purchasing prescription drugs from illicit online pharmacies. Selected studies used a range of SM tools/applications, including message boards, Twitter and blog/forums/platform discussions. Limitations included relevance, a lack of standardized surveillance systems and a lack of efficient algorithms to isolate relevant items. Illicit drug use is a worldwide problem, and the rise of global social networking sites has led to the evolution of a readily accessible surveillance tool. Systematic approaches need to be developed to efficiently extract and analyze illicit drug content from social networks to supplement effective prevention programs.

  6. Work Integration Social Enterprise. WISE som platform for inklusion på arbejdsmarkedet.

    OpenAIRE

    Larsen, Kamilla Terp

    2014-01-01

    The topic of this thesis is Work Integration Social Enterprises in a Danish context. My aim is to define and examine the platform that WISE represents in the Danish labour market. Furthermore, I want to identify current tendencies in the field and look at the potential for WISE to change our way of understanding the labour market. I do this by carrying out an analysis based on Ernesto Laclau and Chantal Mouffe’s discourse theory. I especially find their explanations of the process of arti...

  7. Scalable, Secure Analysis of Social Sciences Data on the Azure Platform

    Energy Technology Data Exchange (ETDEWEB)

    Simmhan, Yogesh; Deng, Litao; Kumbhare, Alok; Redekopp, Mark; Prasanna, Viktor

    2012-05-07

    Human activity and interaction data is beginning to be collected at population scales through the pervasiveness of social media and willingness of people to volunteer information. This can allow social science researchers to understand and model human behavior with better accuracy and prediction power. Political and social scientists are starting to correlate such large scale social media datasets with events that impact society as evidence abound of the virtual and physical public spaces intersecting and influencing each other [1,2]. Managers of Cyber Physical Systems such as Smart Power Grid utilities are investigating the impact of consumer behavior on power consumption, and the possibility of influencing the usage profile [3]. Data collection is also made easier through technology such as mobile apps, social media sites and search engines that directly collect data, and sensors such smart meters and room occupancy sensors that indirectly measure human activity. These technology platforms also provide a convenient framework for “human sensors” to record and broadcast data for behavioral studies, as a form of crowd sourced citizen science. This has the added advantage of engaging the broader public in STEM activities and help influence public policy.

  8. Integrating Remote and Social Sensing Data for a Scenario on Secure Societies in Big Data Platform

    Science.gov (United States)

    Albani, Sergio; Lazzarini, Michele; Koubarakis, Manolis; Taniskidou, Efi Karra; Papadakis, George; Karkaletsis, Vangelis; Giannakopoulos, George

    2016-08-01

    In the framework of the Horizon 2020 project BigDataEurope (Integrating Big Data, Software & Communities for Addressing Europe's Societal Challenges), a pilot for the Secure Societies Societal Challenge was designed considering the requirements coming from relevant stakeholders. The pilot is focusing on the integration in a Big Data platform of data coming from remote and social sensing.The information on land changes coming from the Copernicus Sentinel 1A sensor (Change Detection workflow) is integrated with information coming from selected Twitter and news agencies accounts (Event Detection workflow) in order to provide the user with multiple sources of information.The Change Detection workflow implements a processing chain in a distributed parallel manner, exploiting the Big Data capabilities in place; the Event Detection workflow implements parallel and distributed social media and news agencies monitoring as well as suitable mechanisms to detect and geo-annotate the related events.

  9. NOVEL ECOMMERCE TECHNOLOGIES FOR THE CLOTHING INDUSTRY: FASHIONPHORIA-A SOCIAL FASHION PLATFORM

    Directory of Open Access Journals (Sweden)

    VYNIAS Dionysios

    2016-05-01

    Full Text Available Fashion industry is one of the most vibrant and creative sector in Europe. Having over 5 million people directly employed in the fashion value chain and 850,000 companies established, this industry provides an important contribution to the EU economy with an annual turnover of EUR 525 billion. Despite the global competition, European retailers have managed to be competitive by moving to high- added value products, serving niche markets and investing on technology and novel ecommerce tools. Fashion is in a transition phase where digital brands and eshops try to engage more shoppers, provide unique experiences and increase revenues. However, conversion rates are still low, competition is fierce and novel products and services are required in order to capture the attention of the consumer. More customer behaviors regarding fashion preferences of the users are needed and new advertising techniques have to be implemented in the sector. In this paper, the market trends regarding clothing and eCommerce in Europe are provided. In addition, a market research is presented that reveals the need for a social fashion platform in Greece coupled with the expectations that an shopper has for a fashion aggregator. The basic functionalities of Fashionphoria, a novel social fashion platform are presented and the benefits for the fashionistas and the brands are outlined.

  10. A CRITICAL ASSESSMENT OF THE EUROPEAN COMMISSION’S CIVIL SOCIETY DISCOURSE AND SOCIAL PLATFORM OF EUROPEAN NGOs

    DEFF Research Database (Denmark)

    KUTAY, RIZA ACAR

    2011-01-01

    The dissertation engages in a critical analysis of the involvement of the Brussels- based European NGOs in European governance. It conducts a survey on the European Commission’s relevant initiatives after the 1990s and interrogates the implications of these initiatives on one of the prominent...... European NGO network, the Social Platform of European NGOs. The common understanding conceives of these organizations as conducive to democratization of EU governance within the scope of participatory democracy. However, I endeavour to argue that the Commission has had an aim to make use of the civil...... in Europe. With respect to this goal, it has encouraged the Social Platform to act like its interlocutor vis-à-vis the NGO community organised both at national and European level. Deriving from the Foucaultian concept of governmentality, I inquiry into the effects of this discourse on the Social Platform...

  11. Engaging Students in a Large-Enrollment Physics Class Using an Academically Focused Social Media Platform

    Science.gov (United States)

    Gavrin, Andy; Lindell, Rebecca

    2017-03-01

    There are many reasons for an instructor to consider using social media, particularly in a large introductory course. Improved communications can lessen the sense of isolation some students feel in large classes, and students may be more likely to respond to faculty announce-ments in a form that is familiar and comfortable. Furthermore, many students currently establish social media sites for their classes, without the knowledge or participation of their instructors. Such "shadow" sites can be useful, but they can also become distributors of misinformation, or venues for inappropriate or disruptive discussions. CourseNetworking (CN) is a social media platform designed for the academic environment. It combines many features common among learning management systems (LMS's) with an interface that looks and feels more like Facebook than a typical academic system. We have recently begun using CN as a means to engage students in an introductory calculus-based mechanics class, with enrollments of 150-200 students per semester. This article presents basic features of CN, and details our initial experiences and observations.

  12. Design of a Physiology-Sensitive VR-Based Social Communication Platform for Children With Autism.

    Science.gov (United States)

    Kuriakose, Selvia; Lahiri, Uttama

    2017-08-01

    Individuals with autism are often characterized by impairments in communication, reciprocal social interaction and explicit expression of their affective states. In conventional techniques, a therapist adjusts the intervention paradigm by monitoring the affective state e.g., anxiety of these individuals for effective floor-time-therapy. Conventional techniques, though powerful, are observation-based and face resource limitations. Technology-assisted systems can provide a quantitative, individualized rehabilitation platform. Presently-available systems are designed primarily to chain learning via aspects of one's performance alone restricting individualization. Specifically, these systems are not sensitive to one's anxiety. Our presented work seeks to bridge this gap by developing a novel VR-based interactive system with Anxiety-Sensitive adaptive technology. Specifically, such a system is capable of objectively identifying and quantifying one's anxiety level from real-time biomarkers, along with performance metrics. In turn it can adaptively respond in an individualized manner to foster improved social communication skills. In our present research, we have used Virtual Reality (VR) to design a proof-of-concept application that exposes participants to social tasks of varying challenges. Results of a preliminary usability study indicate the potential of our VR-based Anxiety-Sensitive system to foster improved task performance, thereby serving as a potent complementary tool in the hands of therapist.

  13. A web service for enabling medical image retrieval integrated into a social medical image sharing platform.

    Science.gov (United States)

    Niinimäki, Marko; Zhou, Xin; de la Vega, Enrique; Cabrer, Miguel; Müller, Henning

    2010-01-01

    Content-based visual image access is in the process from a research domain towards real applications. So far, most image retrieval applications have been in one specialized domain such as lung CTs as diagnosis aid or for classification of general images based on anatomic region, modality, and view. This article describes the use of a content-based image retrieval system in connection with the medical image sharing platform MEDTING, so a data set with a very large variety. Similarity retrieval is possible for all cases of the social image sharing platform, so cases can be linked by either visual similarity or similarity in keywords. The visual retrieval search is based on the GIFT (GNU Image Finding Tool). The technology for updating the index with new images added by users employs RSS (Really Simple Syndication) feeds. The ARC (Advanced Resource Connector) middleware is used for the implementation of a web service for similarity retrieval, simplifying the integration of this service. Novelty of this article is the application/integration and image updating strategy. Retrieval methods themselves employ existing techniques that are all open source and can easily be reproduced.

  14. Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms

    Directory of Open Access Journals (Sweden)

    Lirong Qiu

    2017-01-01

    Full Text Available With the development of microblogs, selling and buying appear in online social platforms such as Sina Weibo and Wechat. Besides Mandarin, Tibetan language is also used to describe products and customers’ opinions. In this paper, we are interested in analyzing the emotions of Tibetan microblogs, which are helpful to understand opinions and product reviews for Tibetan customers. It is challenging since existing studies paid little attention to Tibetan language. Our key idea is to express Tibetan microblogs as vectors and then classify them. To express microblogs more fully, we select two kinds of features, which are sequential features and semantic features. In addition, our experimental results on the Sina Weibo dataset clearly demonstrate the effectiveness of feature selection and the efficiency of our classification method.

  15. IPTV inter-destination synchronization: A network-based approach

    NARCIS (Netherlands)

    Stokking, H.M.; Deventer, M.O. van; Niamut, O.A.; Walraven, F.A.; Mekuria, R.N.

    2010-01-01

    This paper introduces a novel network-based approach to inter-destination media synchronization. The approach meets the need for synchronization in advanced TV concepts like social TV and offers high scalability, unlike conventional end-point based approaches. The solution for interdestination media

  16. How we view competitions between the converging Internet social platforms: Does higher user number mean the final victory?

    Science.gov (United States)

    Fu, Tao; Li, Chenguang; Guo, Liping; Wang, Yanni

    2015-12-01

    We propose a special opinion model on Internet users' social platform selections where users only view those converging platforms as tools to maintain their communications with all of their friends or partners and one may use more than one platform at the same time. We construct the time evolution differential equations, seek the fixed points, and study their attractability and repellency by analyzing those equations. Then, we verify the analytical results and observe their accuracy by numerical simulation. The conclusion shows that in any practical system described by our model, one platform will completely eliminate its competitor sooner or later, and when the average degree of the interaction network is relatively low, the laggard may have more chance to turn the tide, but when that average degree is high, that chance is extremely limited.

  17. Comparison of Learning Software Architecture by Developing Social Applications versus Games on the Android Platform

    Directory of Open Access Journals (Sweden)

    Bian Wu

    2012-01-01

    Full Text Available This paper describes an empirical study where the focus was on discovering differences and similarities in students working on development of social applications versus students working on development of games using the same Android development platform. In 2010-2011, students attending the software architecture course at the Norwegian University of Science and Technology (NTNU could choose between four types of projects. Independently of the chosen type of project, all students had to go through the same phases, produce the same documents based on the same templates, and follow exactly the same process. This study focuses on one of projects—Android project, to see how much the application domain affects the course project independently of the chosen technology. Our results revealed some positive effects for the students doing game development compared to social application development to learn software architecture, like motivated to work with games, a better focus on quality attributes such as modifiability and testability during the development, production of software architectures of higher complexity, and more productive coding working for the project. However, we did not find significant differences in awarded grade between students choosing the two different domains.

  18. Social Media as a Platform for Information About Diabetes Foot Care: A Study of Facebook Groups.

    Science.gov (United States)

    Abedin, Tasnima; Al Mamun, Mohammad; Lasker, Mohammad A A; Ahmed, Syed Walid; Shommu, Nusrat; Rumana, Nahid; Turin, Tanvir C

    2017-02-01

    Diabetes is one of the most challenging chronic health conditions in the current era. Diabetes-related foot problems need proper patient education, and social media could a play role to disseminate proper information. A systematic search was performed on Facebook groups using the key words "diabetes foot care", "diabetes foot", "diabetes foot management" and "podiatric care". The search resulted in 57 groups and detailed activity information was collected from those groups. Usefulness of each relevant post was determined. Regression analysis was performed to explore the factors associated with the level of usefulness of diabetes foot care-related Facebook groups. Our search resulted in a total of 16 eligible diabetes foot care-related Facebook groups with a total of 103 eligible posts. The average number of group members for the selected groups were 265.75 with an interquartile range of 3.5-107.75. Of the total 103 timeline posts, 45.6% posts were categorized as useful, while the remaining posts were not useful. Top mentioned diabetes foot care practice was "Checking feet daily". Multivariable logistic regression analysis showed that the level of usefulness of diabetes foot care-related Facebook groups were significantly associated with the type of posts and no association was found with presence of "likes" and presence of comment. Facebook being a widely used social networking system, patient welfare organizations, doctors, nurses and podiatrists could use this platform to provide support to educating diabetes patients and their caregivers by disseminating useful and authentic knowledge and information related to diabetes foot care. Copyright © 2016 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

  19. An Intelligent Web Digital Image Metadata Service Platform for Social Curation Commerce Environment

    Directory of Open Access Journals (Sweden)

    Seong-Yong Hong

    2015-01-01

    Full Text Available Information management includes multimedia data management, knowledge management, collaboration, and agents, all of which are supporting technologies for XML. XML technologies have an impact on multimedia databases as well as collaborative technologies and knowledge management. That is, e-commerce documents are encoded in XML and are gaining much popularity for business-to-business or business-to-consumer transactions. Recently, the internet sites, such as e-commerce sites and shopping mall sites, deal with a lot of image and multimedia information. This paper proposes an intelligent web digital image information retrieval platform, which adopts XML technology for social curation commerce environment. To support object-based content retrieval on product catalog images containing multiple objects, we describe multilevel metadata structures representing the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design an XML-Schema for the proposed metadata. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile device, using XSLT. The proposed scheme can be utilized to enable efficient e-catalog metadata sharing between systems, and it will contribute to the improvement of the retrieval correctness and the user’s satisfaction on semantic-based web digital image information retrieval.

  20. Trust-Based Cooperative Social System Applied to a Carpooling Platform for Smartphones

    Directory of Open Access Journals (Sweden)

    Cándido Caballero-Gil

    2017-01-01

    Full Text Available One of the worst traffic problems today is the existence of huge traffic jams in almost any big city, produced by the large number of commuters using private cars. This problem has led to an increase in research on the optimization of vehicle occupancy in urban areas as this would help to solve the problem that most cars are occupied by single passengers. The solution of sharing the available seats in cars, known as carpooling, is already available in major cities around the world. However, carpooling is still not considered a safe and reliable solution for many users. With the widespread use of mobile technology and social networks, it is possible to create a trust-based platform to promote carpooling through a convenient, fast and secure system. The main objective of this work is the design and implementation of a carpool system that improves some important aspects of previous systems, focusing on trust between users, and on the security of the system. The proposed system guarantees user privacy and measures trust levels through a new reputation algorithm. In addition to this, the proposal has been developed as a mobile application for devices using the Android Open Source Project.

  1. Digital Media Platforms and Education: The Uses of Social Networking in the UAE and China

    Directory of Open Access Journals (Sweden)

    Badreya Aljenaibi

    2015-07-01

    Full Text Available Young people today are growing up in a digitalized environment.  What challenges do they face in navigating this content-rich, symbolic environment? In this article, the researcher reviews university students' perceptions of media literacy by examining the use of social networking platforms (SN in academic settings. The researcher distributed 1200 surveys evenly split between Chinese and UAE students and 998 were returned and analyzed. The findings reveal that while many students believe that media literacy should become a priority in modern curricula, this urgency is not felt by the majority of students.  The researcher reviews current views and methodologies in the literature related to media literacy and its status in current pedagogy.  The study draws from gravitation theory to place the use of SN tools within a broader background of communication.  The Uses and Gratification Theory is also invoked to explain how SN was made attractive to campus activists and protesters in the two countries.

  2. Trust-Based Cooperative Social System Applied to a Carpooling Platform for Smartphones.

    Science.gov (United States)

    Caballero-Gil, Cándido; Caballero-Gil, Pino; Molina-Gil, Jezabel; Martín-Fernández, Francisco; Loia, Vincenzo

    2017-01-27

    One of the worst traffic problems today is the existence of huge traffic jams in almost any big city, produced by the large number of commuters using private cars. This problem has led to an increase in research on the optimization of vehicle occupancy in urban areas as this would help to solve the problem that most cars are occupied by single passengers. The solution of sharing the available seats in cars, known as carpooling, is already available in major cities around the world. However, carpooling is still not considered a safe and reliable solution for many users. With the widespread use of mobile technology and social networks, it is possible to create a trust-based platform to promote carpooling through a convenient, fast and secure system. The main objective of this work is the design and implementation of a carpool system that improves some important aspects of previous systems, focusing on trust between users, and on the security of the system. The proposed system guarantees user privacy and measures trust levels through a new reputation algorithm. In addition to this, the proposal has been developed as a mobile application for devices using the Android Open Source Project.

  3. Social media as a platform for health-related public debates and discussions: the Polio vaccine on Facebook.

    Science.gov (United States)

    Orr, Daniela; Baram-Tsabari, Ayelet; Landsman, Keren

    2016-01-01

    Social media can act as an important platform for debating, discussing, and disseminating information about vaccines. Our objectives were to map and describe the roles played by web-based mainstream media and social media as platforms for vaccination-related public debates and discussions during the Polio crisis in Israel in 2013: where and how did the public debate and discuss the issue, and how can these debates and discussions be characterized? Polio-related coverage was collected from May 28 to October 31, 2013, from seven online Hebrew media platforms and the Facebook groups discussing the Polio vaccination were mapped and described. In addition, 2,289 items from the Facebook group "Parents talk about Polio vaccination" were analyzed for socio-demographic and thematic characteristics. The traditional media mainly echoed formal voices from the Ministry of Health. The comments on the Facebook vaccination opposition groups could be divided into four groups: comments with individualistic perceptions, comments that expressed concerns about the safety of the OPV, comments that expressed distrust in the Ministry of Health, and comments denying Polio as a disease. In the Facebook group "Parents talk about the Polio vaccination", an active group with various participants, 321 commentators submitted 2289 comments, with 64 % of the comments written by women. Most (92 %) people involved were parents. The comments were both personal (referring to specific situations) and general in nature (referring to symptoms or wide implications). A few (13 %) of the commentators were physicians (n = 44), who were responsible for 909 (40 %) of the items in the sample. Half the doctors and 6 % of the non-doctors wrote over 10 items each. This Facebook group formed a unique platform where unmediated debates and discussions between the public and medical experts took place. The comments on the social media, as well as the socio-demographic profiles of the commentators, suggest

  4. Use of Web 2.0 Social Media Platforms to Promote Community-Engaged Research Dialogs: A Preliminary Program Evaluation

    Science.gov (United States)

    Valdez Soto, Miguel; Bishop, Shawn G; Aase, Lee A; Timimi, Farris K; Montori, Victor M; Patten, Christi A

    2016-01-01

    Background Community-engaged research is defined by the Institute of Medicine as the process of working collaboratively with groups of people affiliated by geographic proximity, special interests, or similar situations with respect to issues affecting their well-being. Traditional face-to-face community-engaged research is limited by geographic location, limited in resources, and/or uses one-way communications. Web 2.0 technologies including social media are novel communication channels for community-engaged research because these tools can reach a broader audience while promoting bidirectional dialogs. Objective This paper reports on a preliminary program evaluation of the use of social media platforms for promoting engagement of researchers and community representatives in dialogs about community-engaged research. Methods For this pilot program evaluation, the Clinical and Translational Science Office for Community Engagement in Research partnered with the Social Media Network at our institution to create a WordPress blog and Twitter account. Both social media platforms were facilitated by a social media manager. We used descriptive analytics for measuring engagement with WordPress and Twitter over an 18-month implementation period during 2014-2016. For the blog, we examined type of user (researcher, community representative, other) and used content analysis to generate the major themes from blog postings. For use of Twitter, we examined selected demographics and impressions among followers. Results There were 76 blog postings observed from researchers (48/76, 64%), community representatives (23/76, 32%) and funders (5/76, 8%). The predominant themes of the blog content were research awareness and dissemination of community-engaged research (35/76, 46%) and best practices (23/76, 30%). For Twitter, we obtained 411 followers at the end of the 18-month evaluation period, with an increase of 42% (from 280 to 411) over the final 6 months. Followers reported varied

  5. Use of Web 2.0 Social Media Platforms to Promote Community-Engaged Research Dialogs: A Preliminary Program Evaluation.

    Science.gov (United States)

    Valdez Soto, Miguel; Balls-Berry, Joyce E; Bishop, Shawn G; Aase, Lee A; Timimi, Farris K; Montori, Victor M; Patten, Christi A

    2016-09-09

    Community-engaged research is defined by the Institute of Medicine as the process of working collaboratively with groups of people affiliated by geographic proximity, special interests, or similar situations with respect to issues affecting their well-being. Traditional face-to-face community-engaged research is limited by geographic location, limited in resources, and/or uses one-way communications. Web 2.0 technologies including social media are novel communication channels for community-engaged research because these tools can reach a broader audience while promoting bidirectional dialogs. This paper reports on a preliminary program evaluation of the use of social media platforms for promoting engagement of researchers and community representatives in dialogs about community-engaged research. For this pilot program evaluation, the Clinical and Translational Science Office for Community Engagement in Research partnered with the Social Media Network at our institution to create a WordPress blog and Twitter account. Both social media platforms were facilitated by a social media manager. We used descriptive analytics for measuring engagement with WordPress and Twitter over an 18-month implementation period during 2014-2016. For the blog, we examined type of user (researcher, community representative, other) and used content analysis to generate the major themes from blog postings. For use of Twitter, we examined selected demographics and impressions among followers. There were 76 blog postings observed from researchers (48/76, 64%), community representatives (23/76, 32%) and funders (5/76, 8%). The predominant themes of the blog content were research awareness and dissemination of community-engaged research (35/76, 46%) and best practices (23/76, 30%). For Twitter, we obtained 411 followers at the end of the 18-month evaluation period, with an increase of 42% (from 280 to 411) over the final 6 months. Followers reported varied geographic location (321/411, 78

  6. Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms.

    Science.gov (United States)

    Zhan, Yongcheng; Liu, Ruoran; Li, Qiudan; Leischow, Scott James; Zeng, Daniel Dajun

    2017-01-20

    Electronic cigarette (e-cigarette) is an emerging product with a rapid-growth market in recent years. Social media has become an important platform for information seeking and sharing. We aim to mine hidden topics from e-cigarette datasets collected from different social media platforms. This paper aims to gain a systematic understanding of the characteristics of various types of social media, which will provide deep insights into how consumers and policy makers effectively use social media to track e-cigarette-related content and adjust their decisions and policies. We collected data from Reddit (27,638 e-cigarette flavor-related posts from January 1, 2011, to June 30, 2015), JuiceDB (14,433 e-juice reviews from June 26, 2013 to November 12, 2015), and Twitter (13,356 "e-cig ban"-related tweets from January, 1, 2010 to June 30, 2015). Latent Dirichlet Allocation, a generative model for topic modeling, was used to analyze the topics from these data. We found four types of topics across the platforms: (1) promotions, (2) flavor discussions, (3) experience sharing, and (4) regulation debates. Promotions included sales from vendors to users, as well as trades among users. A total of 10.72% (2,962/27,638) of the posts from Reddit were related to trading. Promotion links were found between social media platforms. Most of the links (87.30%) in JuiceDB were related to Reddit posts. JuiceDB and Reddit identified consistent flavor categories. E-cigarette vaping methods and features such as steeping, throat hit, and vapor production were broadly discussed both on Reddit and on JuiceDB. Reddit provided space for policy discussions and majority of the posts (60.7%) holding a negative attitude toward regulations, whereas Twitter was used to launch campaigns using certain hashtags. Our findings are based on data across different platforms. The topic distribution between Reddit and JuiceDB was significantly different (Pstudy examined Reddit, JuiceDB, and Twitter as social media

  7. Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms

    Science.gov (United States)

    Zhan, Yongcheng; Liu, Ruoran; Li, Qiudan; Leischow, Scott James

    2017-01-01

    Background Electronic cigarette (e-cigarette) is an emerging product with a rapid-growth market in recent years. Social media has become an important platform for information seeking and sharing. We aim to mine hidden topics from e-cigarette datasets collected from different social media platforms. Objective This paper aims to gain a systematic understanding of the characteristics of various types of social media, which will provide deep insights into how consumers and policy makers effectively use social media to track e-cigarette-related content and adjust their decisions and policies. Methods We collected data from Reddit (27,638 e-cigarette flavor-related posts from January 1, 2011, to June 30, 2015), JuiceDB (14,433 e-juice reviews from June 26, 2013 to November 12, 2015), and Twitter (13,356 “e-cig ban”-related tweets from January, 1, 2010 to June 30, 2015). Latent Dirichlet Allocation, a generative model for topic modeling, was used to analyze the topics from these data. Results We found four types of topics across the platforms: (1) promotions, (2) flavor discussions, (3) experience sharing, and (4) regulation debates. Promotions included sales from vendors to users, as well as trades among users. A total of 10.72% (2,962/27,638) of the posts from Reddit were related to trading. Promotion links were found between social media platforms. Most of the links (87.30%) in JuiceDB were related to Reddit posts. JuiceDB and Reddit identified consistent flavor categories. E-cigarette vaping methods and features such as steeping, throat hit, and vapor production were broadly discussed both on Reddit and on JuiceDB. Reddit provided space for policy discussions and majority of the posts (60.7%) holding a negative attitude toward regulations, whereas Twitter was used to launch campaigns using certain hashtags. Our findings are based on data across different platforms. The topic distribution between Reddit and JuiceDB was significantly different (PReddit, JuiceDB, and

  8. Designing next-generation platforms for evaluating scientific output: What scientists can learn from the social web

    Directory of Open Access Journals (Sweden)

    Tal eYarkoni

    2012-10-01

    Full Text Available Traditional pre-publication peer review of scientific output is a slow, inefficient, and unreliable process. Efforts to replace or supplement traditional evaluation models with open evaluation platforms that leverage advances in information technology are slowly gaining traction, but remain in the early stages of design and implementation. Here I discuss a number of considerations relevant to the development of such platforms. I focus particular attention on three core elements that next-generation evaluation platforms should strive to emphasize, including (a open and transparent access to accumulated evaluation data, (b personalized and highly customizable performance metrics, and (c appropriate short-term incentivization of the userbase. Because all of these elements have already been successfully implemented on a large scale in hundreds of existing social web applications, I argue that development of new scientific evaluation platforms should proceed largely by adapting existing techniques rather than engineering entirely new evaluation mechanisms. Successful implementation of open evaluation platforms has the potential to substantially advance both the pace and the quality of scientific publication and evaluation, and the scientific community has a vested interest in shifting towards such models as soon as possible.

  9. Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.

    Science.gov (United States)

    Yarkoni, Tal

    2012-01-01

    Traditional pre-publication peer review of scientific output is a slow, inefficient, and unreliable process. Efforts to replace or supplement traditional evaluation models with open evaluation platforms that leverage advances in information technology are slowly gaining traction, but remain in the early stages of design and implementation. Here I discuss a number of considerations relevant to the development of such platforms. I focus particular attention on three core elements that next-generation evaluation platforms should strive to emphasize, including (1) open and transparent access to accumulated evaluation data, (2) personalized and highly customizable performance metrics, and (3) appropriate short-term incentivization of the userbase. Because all of these elements have already been successfully implemented on a large scale in hundreds of existing social web applications, I argue that development of new scientific evaluation platforms should proceed largely by adapting existing techniques rather than engineering entirely new evaluation mechanisms. Successful implementation of open evaluation platforms has the potential to substantially advance both the pace and the quality of scientific publication and evaluation, and the scientific community has a vested interest in shifting toward such models as soon as possible.

  10. Migration of a sharing platform from Copenhagen to Aarhus: a live exploration of how social innovations may travel

    DEFF Research Database (Denmark)

    Messeter, Jörn; Gronvall, Erik; Malmborg, Lone

    2016-01-01

    innovations developed in a local community can successfully 'travel' to other settings. In this full-day workshop, we take a hands-on approach in exploring how social innovations can 'travel' between different settings through a concrete design case. A digital platform co-designed with stakeholders...... to the local setting of Aarhus. Participants will leave with concrete experiences from an exploration of how a particular social innovation can 'travel'; involving real stakeholders in co-design of solutions to the challenges at hand....

  11. What Are the Stakes in Doing Critical Research on Social Media Platforms?

    OpenAIRE

    Ganaele Langlois

    2015-01-01

    One of the key challenges facing social media studies is the capacity to undertake independent, critical research. As the field of social media is massively dominated by corporate players with a vested interest in both privatizing social data and developing proprietary social analytical tools, it is now crucial to advocate for a politics of public social media research.

  12. Comparison of Learning Software Architecture by Developing Social Applications versus Games on the Android Platform

    National Research Council Canada - National Science Library

    Wu, Bian; Wang, Alf Inge

    2012-01-01

    ... on development of games using the same Android development platform. In 2010-2011, students attending the software architecture course at the Norwegian University of Science and Technology (NTNU...

  13. Building technology platform aimed to develop service robot with embedded personality and enhanced communication with social environment

    Directory of Open Access Journals (Sweden)

    Aleksandar Rodić

    2015-04-01

    Full Text Available The paper is addressed to prototyping of technology platform aimed to develop of ambient-aware human-centric indoor service robot with attributes of emotional intelligence to enhance interaction with social environment. The robot consists of a wheel-based mobile platform with spinal (segmented torso, bi-manual manipulation system with multi-finger robot hands and robot head. Robot prototype was designed to see, hear, speak and use its multimodal interface for enhanced communication with humans. Robot is capable of demonstrating its affective and social behavior by using audio and video interface as well as body gestures. Robot is equipped with advanced perceptive system based on heterogeneous sensorial system, including laser range finder, ultrasonic distance sensors and proximity detectors, 3-axis inertial sensor (accelerometer and gyroscope, stereo vision system, 2 wide-range microphones, and 2 loudspeakers. The device is foreseen to operate autonomously but it may be also operated remotely from a host computer through wireless communication link as well as by use of a smart-phone based on advanced client-server architecture. Robot prototype has embedded attributes of artificial intelligence and utilizes advanced cognitive capabilities such as spatial reasoning, obstacle and collision avoidance, simultaneous localization and mapping, etc. Robot is designed in a manner to enable uploading of new or changing existing algorithms of emotional intelligence that should provide to robot human-like affective and social behavior. The key objective of the project presented in the paper regards to building advanced technology platform for research and development of personal robots aimed to use for different purpose, e.g. robot-entertainer, battler, robot for medical care, security robot, etc. In a word, the designed technology platform is expected to help in development human-centered service robots to be used at home, in the office, public institutions

  14. THE AGE OF SOCIAL MEDIA: A QUALITATIVE STUDY INTO THE ATTITUDES AND PERCEPTION OF YOUNG ADULTS TOWARDS PREVALENCE OF SOCIAL MEDIA PLATFORMS

    OpenAIRE

    Agarwal, Shruti

    2012-01-01

    Technological advances in the past decade have lead to the emergence of online platforms like social-networking sites, blogging sites, discussion forums which are extensively used by consumers to articulate their opinions and share their experiences. These developments have equipped consumers with vast knowledge and tools and hence, consumers actively participate in all stages of the marketing exchange process. Thus, the traditional channels of marketing communications are not sufficient to k...

  15. Understanding buyers' loyalty to a C2C platform : The roles of social capital, satisfaction and perceived effectiveness of E-commerce institutional mechanisms

    NARCIS (Netherlands)

    Huang, Q.; Chen, X.Y.; Ou, Carol; Davison, R.M.; Hua, Z.S.

    Drawing upon social capital theory, this study aims to investigate how different dimensions of social capital affect online buyers' satisfaction and ultimately boost their loyalty to a Consumer-to-Consumer (C2C) platform. Specifically, we propose that three dimensions of social capital (i.e.,

  16. The use of social networking platforms for sexual health promotion: identifying key strategies for successful user engagement.

    Science.gov (United States)

    Veale, Hilary J; Sacks-Davis, Rachel; Weaver, Emma Rn; Pedrana, Alisa E; Stoové, Mark A; Hellard, Margaret E

    2015-02-06

    Online social networking platforms such as Facebook and Twitter have grown rapidly in popularity, with opportunities for interaction enhancing their health promotion potential. Such platforms are being used for sexual health promotion but with varying success in reaching and engaging users. We aimed to identify Facebook and Twitter profiles that were able to engage large numbers of users, and to identify strategies used to successfully attract and engage users in sexual health promotion on these platforms. We identified active Facebook (n = 60) and Twitter (n = 40) profiles undertaking sexual health promotion through a previous systematic review, and assessed profile activity over a one-month period. Quantitative measures of numbers of friends and followers (reach) and social media interactions were assessed, and composite scores used to give profiles an 'engagement success' ranking. Associations between host activity, reach and interaction metrics were explored. Content of the top ten ranked Facebook and Twitter profiles was analysed using a thematic framework and compared with five poorly performing profiles to identify strategies for successful user engagement. Profiles that were able to successfully engage large numbers of users were more active and had higher levels of interaction per user than lower-ranked profiles. Strategies used by the top ten ranked profiles included: making regular posts/tweets (median 46 posts or 124 tweets/month for top-ranked profiles versus six posts or six tweets for poorly-performing profiles); individualised interaction with users (85% of top-ranked profiles versus 0% for poorly-performing profiles); and encouraging interaction and conversation by posing questions (100% versus 40%). Uploading multimedia material (80% versus 30%) and highlighting celebrity involvement (70% versus 10%) were also key strategies. Successful online engagement on social networking platforms can be measured through quantitative (user numbers and

  17. Migration of a sharing platform from Copenhagen to Aarhus: a live exploration of how social innovations may travel

    DEFF Research Database (Denmark)

    Messeter, Jörn; Gronvall, Erik; Malmborg, Lone

    2016-01-01

    innovations developed in a local community can successfully 'travel' to other settings. In this full-day workshop, we take a hands-on approach in exploring how social innovations can 'travel' between different settings through a concrete design case. A digital platform co-designed with stakeholders......Later developments in community-based PD have put a focus on how societal challenges and technological possibilities call for new forms of participation and civic engagement. In particular, lack of resources promotes public engagement in social innovation, and highlights questions of how...... in a municipality in Copenhagen and in two neighbourhood groups in Vienna is brought to the workshop. Representatives from the city of Aarhus will participate as local stakeholders to engage with workshop participants in a one-day 'designathon' to explore the challenges of appropriating this social innovation...

  18. Building a Network Based Laboratory Environment

    Directory of Open Access Journals (Sweden)

    Sea Shuan Luo

    2009-12-01

    Full Text Available This paper presents a comparative study about the development of a network based laboratory environment in the “Unix introduction” course for the undergraduate students. The study results and the response from the students from 2005 to 2006 will be used to better understand what kind of method is more suitable for students. We also use the data collected to adjust our teaching strategy and try to build up a network based laboratory environment.

  19. The Politics of Real-time: A Device Perspective on Social Media Platforms and Search Engines

    NARCIS (Netherlands)

    Weltevrede, E.; Helmond, A.; Gerlitz, C.

    2014-01-01

    This paper enquires into the politics of real-time in online media. It suggests that real-time cannot be accounted for as a universal temporal frame in which events happen, but explores the making of real-time from a device perspective focusing on the temporalities of platforms. Based on an

  20. Social network site use among Dutch students: Effects of time and platform

    NARCIS (Netherlands)

    Utz, S.; Comunello, F.

    2011-01-01

    This chapter compares the SNS use of Dutch students across time and platforms. Between 2009 (n = 194) and 2010 (n = 212), many users migrated from Hyves, the hitherto largest Dutch SNS, to Facebook. Comparisons between the two years showed that SNS use remained relatively stable over time; only

  1. A Social Environmental Sensor Network Integrated within a Web GIS Platform

    Directory of Open Access Journals (Sweden)

    Yorghos Voutos

    2017-11-01

    Full Text Available We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side. Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.

  2. Disentangling the Effects of Collaborative Social Platforms on Organizational Knowledge Practices and Innovation

    OpenAIRE

    Razmerita, Liana; Tan, Chee-Wee

    2017-01-01

    Social media has given birth to a novel paradigm of knowledge management that entails both formal and informal communication to bring about collaboration via diverse applications. Through online conversations and virtual interactions, the advent of social media is accompanied by unprecedented means of sharing, externalizing and retaining knowledge. In doing so, social media allows the articulation of personal and collective knowledge for innovation and value co-creation (Razmer...

  3. The Platformization of the Web: Making Web Data Platform Ready

    NARCIS (Netherlands)

    Helmond, A.

    2015-01-01

    In this article, I inquire into Facebook’s development as a platform by situating it within the transformation of social network sites into social media platforms. I explore this shift with a historical perspective on, what I refer to as, platformization, or the rise of the platform as the dominant

  4. Network Medicine: A Network-based Approach to Human Diseases

    Science.gov (United States)

    Ghiassian, Susan Dina

    With the availability of large-scale data, it is now possible to systematically study the underlying interaction maps of many complex systems in multiple disciplines. Statistical physics has a long and successful history in modeling and characterizing systems with a large number of interacting individuals. Indeed, numerous approaches that were first developed in the context of statistical physics, such as the notion of random walks and diffusion processes, have been applied successfully to study and characterize complex systems in the context of network science. Based on these tools, network science has made important contributions to our understanding of many real-world, self-organizing systems, for example in computer science, sociology and economics. Biological systems are no exception. Indeed, recent studies reflect the necessity of applying statistical and network-based approaches in order to understand complex biological systems, such as cells. In these approaches, a cell is viewed as a complex network consisting of interactions among cellular components, such as genes and proteins. Given the cellular network as a platform, machinery, functionality and failure of a cell can be studied with network-based approaches, a field known as systems biology. Here, we apply network-based approaches to explore human diseases and their associated genes within the cellular network. This dissertation is divided in three parts: (i) A systematic analysis of the connectivity patterns among disease proteins within the cellular network. The quantification of these patterns inspires the design of an algorithm which predicts a disease-specific subnetwork containing yet unknown disease associated proteins. (ii) We apply the introduced algorithm to explore the common underlying mechanism of many complex diseases. We detect a subnetwork from which inflammatory processes initiate and result in many autoimmune diseases. (iii) The last chapter of this dissertation describes the

  5. Social Media Platforms as a Tool for Sharing Emotions. A Perspective upon the National Security Agencies

    National Research Council Canada - National Science Library

    Ramona-Diana Leon; Liana Maria Marcu

    2016-01-01

    ... on social media should be twofold: on the one hand, it should reflect the attitudes, values and beliefs, supported by the institution, and on the other hand, it should have an impact on citizens feeling of security...

  6. Enhanced Worldwide Dermatology-Pathology Interaction via Facebook, Twitter, and Other Social Media Platforms.

    Science.gov (United States)

    Madke, Bhushan; Gardner, Jerad M

    2017-08-03

    The practice of dermatopathology requires close interaction between dermatologists and dermatopathologists. Yet, in many areas of the developing world, dermatologists lack easy access to pathologists with expertise in skin disease. Twitter, Facebook, and other social media provide free powerful tools that enhance interaction between dermatology and pathology regardless of geographic barriers. Although there are some limitations, the immense potential benefits that social media unlocks for patient care, education, research, and networking cannot be overstated.

  7. Analog neural network-based helicopter gearbox health monitoring system.

    Science.gov (United States)

    Monsen, P T; Dzwonczyk, M; Manolakos, E S

    1995-12-01

    The development of a reliable helicopter gearbox health monitoring system (HMS) has been the subject of considerable research over the past 15 years. The deployment of such a system could lead to a significant saving in lives and vehicles as well as dramatically reduce the cost of helicopter maintenance. Recent research results indicate that a neural network-based system could provide a viable solution to the problem. This paper presents two neural network-based realizations of an HMS system. A hybrid (digital/analog) neural system is proposed as an extremely accurate off-line monitoring tool used to reduce helicopter gearbox maintenance costs. In addition, an all analog neural network is proposed as a real-time helicopter gearbox fault monitor that can exploit the ability of an analog neural network to directly compute the discrete Fourier transform (DFT) as a sum of weighted samples. Hardware performance results are obtained using the Integrated Neural Computing Architecture (INCA/1) analog neural network platform that was designed and developed at The Charles Stark Draper Laboratory. The results indicate that it is possible to achieve a 100% fault detection rate with 0% false alarm rate by performing a DFT directly on the first layer of INCA/1 followed by a small-size two-layer feed-forward neural network and a simple post-processing majority voting stage.

  8. The Potential Role of Social Media Platforms in Community Awareness of Antibiotic Use in the Gulf Cooperation Council States: Luxury or Necessity?

    Science.gov (United States)

    Zowawi, Hosam Mamoon; Abedalthagafi, Malak; Mar, Florie A; Almalki, Turki; Kutbi, Abdullah H; Harris-Brown, Tiffany; Harbarth, Stephan; Balkhy, Hanan H; Paterson, David L; Hasanain, Rihab Abdalazez

    2015-10-15

    The increasing emergence and spread of antimicrobial resistance (AMR) is a serious public health issue. Increasing the awareness of the general public about appropriate antibiotic use is a key factor for combating this issue. Several public media campaigns worldwide have been launched; however, such campaigns can be costly and the outcomes are variable and difficult to assess. Social media platforms, including Twitter, Facebook, and YouTube, are now frequently utilized to address health-related issues. In many geographical locations, such as the countries of the Gulf Cooperation Council (GCC) States (Saudi Arabia, United Arab Emirates, Kuwait, Oman, Qatar, and Bahrain), these platforms are becoming increasingly popular. The socioeconomic status of the GCC states and their reliable communication and networking infrastructure has allowed the penetration and scalability of these platforms in the region. This might explain why the Saudi Ministry of Health is using social media platforms alongside various other media platforms in a large-scale public awareness campaign to educate at-risk communities about the recently emerged Middle East respiratory syndrome coronavirus (MERS-CoV). This paper discusses the potential for using social media tools as cost-efficient and mass education platforms to raise awareness of appropriate antibiotic use in the general public and in the medical communities of the Arabian Peninsula.

  9. Using Twitter and other social media platforms to provide situational awareness during an incident.

    Science.gov (United States)

    Tobias, Ed

    2011-10-01

    The recent use of social media by protesters in Iran, Egypt, Yemen and elsewhere has focused new attention on this communications medium. Government agencies and businesses, as well, are using social media to push information to their stakeholders. Those who are on the front lines of this information revolution, however, realise that social media is most effective when the communication is two-way. Unlike other media, social media allows information sharing. This, in turn, provides emergency managers with new situational-awareness resources when trying to mitigate an incident. As Federal Emergency Management Agency (FEMA) Administrator Craig Fugate told Information Week on January 19th, 2011: 'We can adjust much quicker if we can figure out how to have (a) two-way conversation and if we can look at the public as a resource. The public is putting out better situational awareness than many of our own agencies can.' This paper provides examples of how social media can be used as a situational-awareness resource and specific 'tools' that can be used to assist with this task.

  10. Negotiating the Political Self on Social Media Platforms An In-Depth Study of Image-Management in an Election-Campaign in a Multi-Party Democracy

    Directory of Open Access Journals (Sweden)

    Jakob Svensson

    2012-12-01

    Full Text Available The elections 2010 were the first in Sweden where social media platforms were used to a large extent by politicians and parties in their campaigns. In this paper we follow the liberal parliamentarian Nina Larsson, who in tandem with traditional election campaigning used social media platforms with the guidance of a local communication agency, Hello Clarice. The paper is theoretically grounded in an understanding of our time as late modern, of social media use as expressive and web campaigning as to large extent revolving around image-management. The research question that will be attended to in this paper is how Nina Larsson used social media platforms in her campaign negotiate the image of herself. The methods used for empirical data-gathering are inspired by (nethnography, with both participant observation online and offline, interviews as well as content analyses of Nina's social media postings. Results indicate that she used social media platforms to control her political image, to amplify selected text - texts that often originated in offline/broadcast media – and to negotiate a position within the Liberal Party rather than to deliberate with potential voters.

  11. A systematic review of social networking sites: innovative platforms for health research targeting adolescents and young adults.

    Science.gov (United States)

    Park, Bu Kyung; Calamaro, Christina

    2013-09-01

    To review the evidence to determine if social networking sites (SNS) are effective tools for health research in the adolescent and young adult populations. Systematic review of published research articles focused on use of SNS for youth health research. Seventeen articles were selected that met the following criteria: used SNS at any stage of study, participants between 13 and 25 years of age, English language, and both international and national studies. Reviewers categorized selected studies based on the way SNS were used. Utilization of SNS for effectively implementing research with adolescents and young adults include (a) recruitment, (b) intervention, and (c) measurement. Four findings about advantages of using SNS apparent in this review are (a) ease of access to youth, (b) cost effectiveness in recruitment, (c) ease of intervention, and (d) reliable screening venue of mental status and high-risk behaviors. Although this literature review showed relatively minimal research to date on the use of SNS for research targeting adolescents and young adults, the impact of using SNS for health research is of considerable importance for researchers as well as participants. With careful focus, SNS can become a valuable platform to access, recruit, and deliver health interventions in a cost-effective manner to youth populations as well as hard-to-reach minority or underserved populations. The evidence demonstrates the usefulness of SNS as innovative platforms for health promotion among adolescents and young adults. © 2013 Sigma Theta Tau International.

  12. Engaging Students in a Large-Enrollment Physics Class Using an Academically Focused Social Media Platform

    Science.gov (United States)

    Gavrin, Andy; Lindell, Rebecca

    2017-01-01

    There are many reasons for an instructor to consider using social media, particularly in a large introductory course. Improved communications can lessen the sense of isolation some students feel in large classes, and students may be more likely to respond to faculty announcements in a form that is familiar and comfortable. Furthermore, many…

  13. Education Scholars' Evolving Uses of Twitter as a Conference Backchannel and Social Commentary Platform

    Science.gov (United States)

    Kimmons, Royce; Veletsianos, George

    2016-01-01

    The scholarly community faces a lack of large-scale research examining how students and professors use social media in authentic contexts and how such use changes over time. This study uses data mining methods to better understand academic Twitter use during, around, and between the 2014 and 2015 American Educational Research Association annual…

  14. Use of social media platforms for improving academic performance at Further Education and Training colleges

    National Research Council Canada - National Science Library

    Dzvapatsva, Godwin P; Mitrovic, Zoran; Dietrich, Anthony D

    2014-01-01

    ... by lecturers and (2) social media to increase contact time with FET college students in an attempt to improve their academic performance. Method: The NC(V) level 3 student test scores for 2011 were compared to those of 2012. In addition to the test scores, students also received a questionnaire so as to determine their perceptions on soci...

  15. Using Social Networking Sites as a Platform for Second Language Instruction

    Science.gov (United States)

    Prichard, Caleb

    2013-01-01

    Social networking sites (SNSs) are increasingly used to communicate and to maintain relationships with people around the globe, and their usage has certainly led to incidental language gains for second language (L2) users. Language instructors are just beginning to utilize SNS sites to manage their courses or to have students practice language…

  16. From friendfunding to crowdfunding: Relevance of relationships, social media, and platform activities to crowdfunding performance

    NARCIS (Netherlands)

    Borst, W.A.M.; Moser, C.; Ferguson, J.E.

    2017-01-01

    Crowdfunding involves raising small amounts of money from a large number of people, typically via the Internet and social networks, to fund a project. Crowdfunding projects are mainly funded by the project creator’s relatively small network of family and friends. We argue that mobilizing funders

  17. Zika virus pandemic-analysis of Facebook as a social media health information platform.

    Science.gov (United States)

    Sharma, Megha; Yadav, Kapil; Yadav, Nitika; Ferdinand, Keith C

    2017-03-01

    The arrival of Zika virus in the United States has generated a lot of activity on social media focusing on the algorithmic increase in the spread of the disease and its concerning complications. Accurate and credible dissemination of correct information about the arbovirus could help in decreasing the pandemic spread and associated apprehension in the population. Our study examined the effective use of the social media site Facebook (Facebook Inc, Menlo Park, CA) as an information source for the Zika virus pandemic. We found that the misleading posts were far more popular than the posts dispersing accurate, relevant public health information about the disease. Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

  18. Feasibility of a Friendship Network-Based Pediatric Obesity Intervention.

    Science.gov (United States)

    Giannini, Courtney M; Irby, Megan B; Skelton, Joseph A; Gesell, Sabina B

    2017-02-01

    There is growing evidence supporting social network-based interventions for adolescents with obesity. This study's aim was to determine the feasibility of a social network-based intervention by assessing adolescents' friendship networks, willingness to involve friends in treatment, and how these factors influence enjoyment. Adolescents (N = 42) were recruited from a tertiary care obesity clinic. Participants gave a list of closest friends, friendship characteristics, and which of their friends they would involve in treatment. A subset (N = 14) participated in group treatment, were encouraged to bring friends, and invited to a second interview. Participants nominated a mean of 4.0 (standard deviation [SD] = 1.6) friends and were more likely to nominate closer friends (p = 0.003). Friends who attended group sessions were more likely to have multiple friendships in common with the participant's own network (p = 0.04). Involving friends in treatment is feasible and desired by adolescents and may be a novel approach for augmenting obesity treatment outcomes.

  19. Use of social media platforms for improving academic performance at Further Education and Training colleges

    Directory of Open Access Journals (Sweden)

    Godwin P. Dzvapatsva

    2014-03-01

    Full Text Available Background: The National Certificate Vocational (NC[V] curriculum offered by Further Education and Training (FET colleges was introduced in 2007 to address the skills shortage in South Africa. Information Technology (IT lecturers encountered a number of challenges in delivering lessons throughout the course, which affected the academic performance of learners. The biggest challenges identified were the lack of adequate contact hours for the course and inconsistency in the way in which final examination papers were set.Objectives: The aim of the project was to investigate the use of: (1 a knowledge portal for verifying the quality of assessments by lecturers and (2 social media to increase contact time with FET college students in an attempt to improve their academic performance.Method: The NC(V level 3 student test scores for 2011 were compared to those of 2012. In addition to the test scores, students also received a questionnaire so as to determine their perceptions on social media usage. Lecturers also received a questionnaire on their perception of the knowledge portal.Results: The data collected from seven lecturers and 38 students indicated a 35% (from 30% – 65% improvement in academic performance after the introduction of the interventions, that is social media and a knowledge portal; an indication of the importance of electronic media in enhancing learning.Conclusion: The research offered FET lecturers an additional method for learning and teaching in that they could use the knowledge portal to set up quality assessments for the students and social media to increase contact learning time.

  20. datorium: Sharing Platform for Social Science Data - Deposit and Publish Research Data for Better Visibility

    OpenAIRE

    Wira Alam, Andias; Müller, Stefan; Schumann, Natascha

    2015-01-01

    A great number of research articles in scientific publications – particularly in, but not limited to, the social science disciplines – present and analyze results based on data collected from empirical research. However, publishing the research data at the same time requires effort. To name but a few, scientific publishers do not strictly request the supporting materials, e.g. research data, to be published together with the articles. Therefore, despite the importance of pub...

  1. Service Design and Web Development for Implementing a Social Discovery Platform

    OpenAIRE

    Larsson, carl

    2013-01-01

    This thesis revolves  around the implementation and design of a social discovery web service called Go&Grow whose beta version was launched in september 2012. The aim of this study was to conduct a theoretical analysis of service design, putting it in comparison to other design disciplines, and finding key points in designing this web service. Another purpose was to start the implementation of the service using the web framework Django and further to evaluate different web techniques used...

  2. Social simulations of human behavior in virtual agents for sustainability management platforms

    OpenAIRE

    Felgueiras, Gilberto Martins

    2013-01-01

    Dissertação de mestrado em Engenharia Informática impacto negativo que o ser humano tem provocado no meio ambiente precisa de ser contrariado, assim, são necessárias soluções para atuar nesse sentido, soluções estas que precisam de assegurar a sustentabilidade entre questões ambientais, económicas, e sociais. Esta dissertação aborda este tópico no contexto de sistemas de informação, mais concretamente, na interacção social de uma pessoa com o meio em que está inserida. A ideia ...

  3. The influence of the discourse on social change in the media agenda. The case of the Platform of People Affected by Mortgages

    Directory of Open Access Journals (Sweden)

    Laura Alonso-Muñoz

    2016-07-01

    Full Text Available Social movements are one of the driving forces of social change. Organisations such as the Platform of People Affected by Mortgages (PAH denounce situations of injustice and question the construction of the social meanings through discourse. They promote self-mediation strategies, especially through social networks, to influence the media agenda and public debate. So, through a critical analysis of the qualitative discourse, our aim is to know if the PAH introduce their topics and frames in the media agenda. Results show that this activist movement achieves to condition what is spoken and also how is spoken, getting a favourable coverage.

  4. Cities as Platforms for Co-creating Experience-based Business and Social Innovations

    DEFF Research Database (Denmark)

    Pogner, Karl-Heinz; Tsakarestou, Betty

    communities. This paper presents the outcomes of the Athens Co-Creation Workshop 2012) a collaborative initiative of two universities: the Panteion University; Athens and the Copenhagen Business School / Co-Creation of Experienced-Based Innovation Consortium (CCEBI); Copenhagen. Our main question is: How can......-to-face meetings involving a handful of people to web-enabled, large-scale social interactions involving many thousands (Leavy 2011, Ramaswamy & Gouillart 2010). We are interested in expanding these concepts to all parts of society (e.g. the triangle market, (welfare) state, and civil society). Finding solutions...... the city of Athens. Creating a human ecosystem reflecting all powers and involved stakeholders in such an endeavor, the workshop organizers and participants, following a co-creation and design thinking methodology, formed “ad-hoc” networks of reflective practitioners and researchers, experimenting...

  5. theCN.com: An Academic-cum-Social Networking Online Platform

    Directory of Open Access Journals (Sweden)

    Mandar Lakshmikant Bhanushe

    2013-09-01

    Full Text Available This article is a review of theCN, an online virtual learning environment. CN is more than a learning management system, as it not only focuses on course content delivery and management, but takes it a step further by introducing the networking of courses and their content. In comparison with existing LMS’s, which are housed in closed walls with limited access to learners and instructors within institutions, used to merely manage courses online, CN is an open, free, academic and social networking framework scalable to massive numbers of learners from any place in the world within a single environment. CN is free for all to use across the globe. With some minor improvements, CN, as an LMS is surely one of very useful and helpful virtual learning technology tool available to distance learners and institutions to make learning entertaining and fruitful in achieving its learning objectives.

  6. OpenPlanetaryMap: Building the first Open Planetary Mapping and Social platform for researchers, educators, storytellers, and the general public

    Science.gov (United States)

    Manaud, N.; Nass, A.; Lewando, M.; van Gasselt, S.; Rossi, A. P.; Hare, T.; Carter, J.; Hargitai, H.

    2017-09-01

    We will present at this conference the first public version and lessons learnt from OpenPlanetaryMap, a new collaborative project to build an Open Planetary Mapping and Social platform for researchers, educators, storytellers, and the general public. We hope to engage with and collect feedback from the scientific and outreach community.

  7. Twitter, YouTube, and Flickr as platforms of alternative journalism: the social media account of the 2010 Toronto G20 protests

    NARCIS (Netherlands)

    Poell, T.; Borra, E.

    2012-01-01

    This article examines the appropriation of social media as platforms of alternative journalism by the protestors of the 2010 G20 summit in Toronto, Canada. The Toronto Community Mobilization Network, the network that coordinated the protests, urged participants to broadcast news using Twitter,

  8. Development of Highly Interactive Service Platform for Social Learning via Ubiquitous Media

    Directory of Open Access Journals (Sweden)

    Gangman Yi

    2014-01-01

    Full Text Available Several emerging issues concerning the development of interactive learning environment were left unsolved although e-learning has been applied for years. With several studies indicate that more interaction between students and systems increases students’ level of interest and allows them to focus on learning support. Due to the way current interactive learning tools are designed, users have to wear or operate actual tools in order to carry out the required learning procedures. The use of tools for long durations of time results in user fatigue. Hence, this study incorporates the Microsoft Kinect as interactive tool for detecting gestures in the e-learning process. This study also uses the interaction method that we had developed on Facebook to interact with the proposed learning system. The experiments in this study are divided into five parts: system performance of the 3D web engine, gesture accuracy, system and gesture usability, system and gesture satisfaction, and learning satisfaction of the learner. Also, the gesture design was accepted by learners when they interacted with the learning system. Our research shows that our concept as well as the features of our system can fully support social learning and enhance interaction between users in learning environments.

  9. Social network analysis of multi-stakeholder platforms in agricultural research for development: Opportunities and constraints for innovation and scaling

    Science.gov (United States)

    Hermans, Frans; Sartas, Murat; van Schagen, Boudy; van Asten, Piet

    2017-01-01

    Multi-stakeholder platforms (MSPs) are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their ‘capacity to innovate’ and contribute to the ‘scaling of innovations’. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC). In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM) to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors) are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts. PMID:28166226

  10. Social network analysis of multi-stakeholder platforms in agricultural research for development: Opportunities and constraints for innovation and scaling.

    Science.gov (United States)

    Hermans, Frans; Sartas, Murat; van Schagen, Boudy; van Asten, Piet; Schut, Marc

    2017-01-01

    Multi-stakeholder platforms (MSPs) are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their 'capacity to innovate' and contribute to the 'scaling of innovations'. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC). In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM) to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors) are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts.

  11. Social network analysis of multi-stakeholder platforms in agricultural research for development: Opportunities and constraints for innovation and scaling.

    Directory of Open Access Journals (Sweden)

    Frans Hermans

    Full Text Available Multi-stakeholder platforms (MSPs are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their 'capacity to innovate' and contribute to the 'scaling of innovations'. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC. In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts.

  12. Network-based integration of molecular and physiological data elucidates regulatory mechanisms underlying adaptation to high-fat diet

    NARCIS (Netherlands)

    Derous, D.; Kelder, T.; Schothorst, E.M. van; Erk, M. van; Voigt, A.; Klaus, S.; Keijer, J.; Radonjic, M.

    2015-01-01

    Health is influenced by interplay of molecular, physiological and environmental factors. To effectively maintain health and prevent disease, health-relevant relations need to be understood at multiple levels of biological complexity. Network-based methods provide a powerful platform for integration

  13. A network-based dynamical ranking system

    CERN Document Server

    Motegi, Shun

    2012-01-01

    Ranking players or teams in sports is of practical interests. From the viewpoint of networks, a ranking system is equivalent a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score (i.e., strength) of a player, for example, depends on time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. Our ranking system, also interpreted as a centrality measure for directed temporal networks, has two parameters. One parameter represents the exponential decay rate of the past score, and the other parameter controls the effect of indirect wins on the score. We derive a set of linear online update equ...

  14. Network-based recommendation algorithms: A review

    Science.gov (United States)

    Yu, Fei; Zeng, An; Gillard, Sébastien; Medo, Matúš

    2016-06-01

    Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on users' past preferences to choose new items that might be appreciated by a given individual user. While many approaches to recommendation exist, the approach based on a network representation of the input data has gained considerable attention in the past. We review here a broad range of network-based recommendation algorithms and for the first time compare their performance on three distinct real datasets. We present recommendation topics that go beyond the mere question of which algorithm to use-such as the possible influence of recommendation on the evolution of systems that use it-and finally discuss open research directions and challenges.

  15. Designing Network-based Business Model Ontology

    DEFF Research Database (Denmark)

    Hashemi Nekoo, Ali Reza; Ashourizadeh, Shayegheh; Zarei, Behrouz

    2015-01-01

    Survival on dynamic environment is not achieved without a map. Scanning and monitoring of the market show business models as a fruitful tool. But scholars believe that old-fashioned business models are dead; as they are not included the effect of internet and network in themselves. This paper...... is going to propose e-business model ontology from the network point of view and its application in real world. The suggested ontology for network-based businesses is composed of individuals` characteristics and what kind of resources they own. also, their connections and pre-conceptions of connections...... such as shared-mental model and trust. However, it mostly covers previous business model elements. To confirm the applicability of this ontology, it has been implemented in business angel network and showed how it works....

  16. Network Based High Speed Product Innovation

    DEFF Research Database (Denmark)

    Lindgren, Peter

    In the first decade of the 21st century, New Product Development has undergone major changes in the way NPD is managed and organised. This is due to changes in technology, market demands, and in the competencies of companies. As a result NPD organised in different forms of networks is predicted...... to be of ever-increasing importance to many different kinds of companies. This happens at the same times as the share of new products of total turnover and earnings is increasing at unprecedented speed in many firms and industries. The latter results in the need for very fast innovation and product development...... - a need that can almost only be resolved by organising NPD in some form of network configuration. The work of Peter Lindgren is on several aspects of network based high speed product innovation and contributes to a descriptive understanding of this phenomenon as well as with normative theory on how NPD...

  17. Network-Based and Binless Frequency Analyses.

    Directory of Open Access Journals (Sweden)

    Sybil Derrible

    Full Text Available We introduce and develop a new network-based and binless methodology to perform frequency analyses and produce histograms. In contrast with traditional frequency analysis techniques that use fixed intervals to bin values, we place a range ±ζ around each individual value in a data set and count the number of values within that range, which allows us to compare every single value of a data set with one another. In essence, the methodology is identical to the construction of a network, where two values are connected if they lie within a given a range (±ζ. The value with the highest degree (i.e., most connections is therefore assimilated to the mode of the distribution. To select an optimal range, we look at the stability of the proportion of nodes in the largest cluster. The methodology is validated by sampling 12 typical distributions, and it is applied to a number of real-world data sets with both spatial and temporal components. The methodology can be applied to any data set and provides a robust means to uncover meaningful patterns and trends. A free python script and a tutorial are also made available to facilitate the application of the method.

  18. Network-based analysis of proteomic profiles

    KAUST Repository

    Wong, Limsoon

    2016-01-26

    Mass spectrometry (MS)-based proteomics is a widely used and powerful tool for profiling systems-wide protein expression changes. It can be applied for various purposes, e.g. biomarker discovery in diseases and study of drug responses. Although RNA-based high-throughput methods have been useful in providing glimpses into the underlying molecular processes, the evidences they provide are indirect. Furthermore, RNA and corresponding protein levels have been known to have poor correlation. On the other hand, MS-based proteomics tend to have consistency issues (poor reproducibility and inter-sample agreement) and coverage issues (inability to detect the entire proteome) that need to be urgently addressed. In this talk, I will discuss how these issues can be addressed by proteomic profile analysis techniques that use biological networks (especially protein complexes) as the biological context. In particular, I will describe several techniques that we have been developing for network-based analysis of proteomics profile. And I will present evidence that these techniques are useful in identifying proteomics-profile analysis results that are more consistent, more reproducible, and more biologically coherent, and that these techniques allow expansion of the detected proteome to uncover and/or discover novel proteins.

  19. Wireless Sensor Network Based Smart Parking System

    Directory of Open Access Journals (Sweden)

    Jeffrey JOSEPH

    2014-01-01

    Full Text Available Ambient Intelligence is a vision in which various devices come together and process information from multiple sources in order to exert control on the physical environment. In addition to computation and control, communication plays a crucial role in the overall functionality of such a system. Wireless Sensor Networks are one such class of networks, which meet these criteria. These networks consist of spatially distributed sensor motes which work in a co-operative manner to sense and control the environment. In this work, an implementation of an energy-efficient and cost-effective, wireless sensor networks based vehicle parking system for a multi-floor indoor parking facility has been introduced. The system monitors the availability of free parking slots and guides the vehicle to the nearest free slot. The amount of time the vehicle has been parked is monitored for billing purposes. The status of the motes (dead/alive is also recorded. Information like slot allocated, directions to the slot and billing data is sent as a message to customer’s mobile phones. This paper extends our previous work 1 with the development of a low cost sensor mote, about one tenth the cost of a commercially available mote, keeping in mind the price sensitive markets of the developing countries.

  20. Acceptability and use of a virtual support group for HIV-positive youth in Khayelitsha, Cape Town using the MXit social networking platform.

    Science.gov (United States)

    Henwood, Ruth; Patten, Gabriela; Barnett, Whitney; Hwang, Bella; Metcalf, Carol; Hacking, Damian; Wilkinson, Lynne

    2016-07-01

    Médecins Sans Frontières supports human immunodeficiency virus (HIV)-infected youth, aged 12-25 years, at a clinic in Khayelitsha, South Africa. Patients are enrolled in youth clubs, and provided with a virtual chat room, using the cell-phone-based social networking platform, MXit, to support members between monthly/bimonthly club meetings. The acceptability and uptake of MXit was assessed. MXit was facilitated by lay counsellors, was password protected, and participants could enter and leave at will. Club members were asked to complete self-administered questionnaires and participate in two focus-group discussions. In total, 60 club members completed the questionnaire, and 12 participated in the focus groups. Fifty-eight percentage were aged 23-25 years, 63% were female and 83% had a cell phone. Sixty percentage had used MXit before, with 38% having used it in the past month. Sixty-five percentage were aware of the chat-room and 39% knew how to access it. Thirty-four percentage used the chat-room at least once, 20% had visited the chat-room in the past month, and 29% had used MXit to have private conversations with other club members. Fifty-seven percentage used the chat-room to get advice, and 84% of all respondents felt that offering a service outside the youth club meetings was important and would like to see one to continue. The cost of using social media platforms was an issue with some, as well as the need for anonymity. Preference for other platforms, logistical obstacles, or loss of interest contributed to non-use. Reported usage of the MXit chat-room was low, but participants indicated acceptance of the programme and their desire to interact with their peers through social media. Suggestions to improve the platform included accessible chat histories, using more popular platforms such as Facebook or WhatsApp, and to have topical discussions where pertinent information for youth is provided.

  1. Optimizing the Presentation of Mental Health Information in Social Media: The Effects of Health Testimonials and Platform on Source Perceptions, Message Processing, and Health Outcomes.

    Science.gov (United States)

    Quintero Johnson, Jessie M; Yilmaz, Gamze; Najarian, Kristy

    2017-09-01

    Using social media for the purpose of disseminating mental health information is a critical area of scientific inquiry for health communication professionals. The purpose of this study was to investigate whether the presence of a first-person testimonial in educational mental health information placed in Facebook and Twitter messages influenced college students' (N = 257) source perceptions, information processing, cognitive elaboration, health information recall, beliefs, and behavioral intentions. Results show that exposure to social media messages that featured mental health information embedded with a testimonial predicted less source homophily and more critical thoughts about the social media source, less systematic message processing, and less cognitive elaboration. Health information recall was significantly impacted by both the social media platform and message content such that participants in the testimonial condition on Facebook were more likely to recall the health facts in those messages whereas participants who viewed the testimonial in Twitter were less likely to recall the facts in those tweets. Compared to those who read Facebook messages, participants who read Twitter messages reported higher levels of systematic message processing. These findings suggest that the integration of health testimonials into social media messages might inadvertently provoke psychological resistance to mental health information, thereby reducing the persuasive impact of those messages.

  2. Platform Constellations

    DEFF Research Database (Denmark)

    Staykova, Kalina Stefanova; Damsgaard, Jan

    2016-01-01

    This research paper presents an initial attempt to introduce and explain the emergence of new phenomenon, which we refer to as platform constellations. Functioning as highly modular systems, the platform constellations are collections of highly connected platforms which co-exist in parallel...

  3. Network-based in silico drug efficacy screening

    National Research Council Canada - National Science Library

    Guney, Emre; Menche, Jörg; Vidal, Marc; Barábasi, Albert-László

    2016-01-01

    .... Here, we take advantage of our increasing understanding of the network-based origins of diseases to introduce a drug-disease proximity measure that quantifies the interplay between drugs targets and diseases...

  4. Identifying behaviors that generate positive interactions between museums and people on a social media platform: An analysis of 27 science museums on Twitter

    Science.gov (United States)

    Baker, Stacy Christine

    The aim of this study was to provide a detailed examination of how science museums use Twitter and suggest changes these museums should make to improve their current approach on this social media platform. Previous studies have identified the types of content museums are creating on social media, but none have quantitatively investigated the specific types of content most likely to generate interaction and engagement with a social media audience. A total of 5,278 tweets from 27 science museums were analyzed to determine what type of tweet yields the greatest impact measured in retweets and favorites. 1,453 of those tweets were selected for additional qualitative analysis. The results indicate that tweets with educational content, links, and hashtags lead to the greatest number of retweets and favorites. The results also indicate that the majority of tweets posted by museums do not generate interaction and engagement with a social media audience. A model for existing museums to improve their use of Twitter was created using the results of this study.

  5. Modeling acquaintance networks based on balance theory

    Directory of Open Access Journals (Sweden)

    Vukašinović Vida

    2014-09-01

    Full Text Available An acquaintance network is a social structure made up of a set of actors and the ties between them. These ties change dynamically as a consequence of incessant interactions between the actors. In this paper we introduce a social network model called the Interaction-Based (IB model that involves well-known sociological principles. The connections between the actors and the strength of the connections are influenced by the continuous positive and negative interactions between the actors and, vice versa, the future interactions are more likely to happen between the actors that are connected with stronger ties. The model is also inspired by the social behavior of animal species, particularly that of ants in their colony. A model evaluation showed that the IB model turned out to be sparse. The model has a small diameter and an average path length that grows in proportion to the logarithm of the number of vertices. The clustering coefficient is relatively high, and its value stabilizes in larger networks. The degree distributions are slightly right-skewed. In the mature phase of the IB model, i.e., when the number of edges does not change significantly, most of the network properties do not change significantly either. The IB model was found to be the best of all the compared models in simulating the e-mail URV (University Rovira i Virgili of Tarragona network because the properties of the IB model more closely matched those of the e-mail URV network than the other models

  6. FPGA platform for prototyping and evaluation of neural network automotive applications

    Science.gov (United States)

    Aranki, N.; Tawel, R.

    2002-01-01

    In this paper we present an FPGA based reconfigurable computing platform for prototyping and evaluation of advanced neural network based applications for control and diagnostics in an automotive sub-systems.

  7. Social Media and Peer Feedback: What Do Students Really Think about Using Wiki and Facebook as Platforms for Peer Feedback?

    Science.gov (United States)

    Demirbilek, Muhammet

    2015-01-01

    Web 2.0 tools are becoming increasingly pervasive in higher education, and as a result, there is increasing interest in the use of online feedback activities. This study investigated students' actual experiences and perceptions using social media, Wiki and Facebook, tools to provide peer feedback on students' instructional material projects and to…

  8. Complementary Platforms

    NARCIS (Netherlands)

    van Cayseele, P.; Reynaerts, J.

    2007-01-01

    We introduce an analytical framework close to the canonical model of platform competition investigated by Rochet and Tirole (2006) to study pricing decisions in two-sided markets when two or more platforms are needed simultaneously for the successful completion of a transaction. The model developed

  9. Exploring young adult perspectives on the use of gamification and social media in a smartphone platform for improving vegetable intake.

    Science.gov (United States)

    Nour, Monica Marina; Rouf, Anika Saiyara; Allman-Farinelli, Margaret

    2018-01-01

    Young adults are the poorest consumers of vegetables. Social media and smartphones are frequently used by this demographic and could serve as an engaging medium for nutrition promotion. Five focus groups were conducted to capture participants' perceptions of a theory-based gamified self-monitoring app for improving vegetable intake of young adults. Ranking activities were used to gather feedback on preferences for social media posts. Data arising from group discussion were analysed using NVivo software using a deductive approach to group common ideas into themes. Thirty two participants (14 males) attended (mean age 23.1 (SD 2.7) years). Qualitative analyses of open discussion revealed two major themes regarding preferred features for a smartphone app; (1) the use of visual guides for estimating quantities of vegetables and tracking progress, and (2) a simple interface. Gamification strategies such as earning badges were viewed more positively than the use of a self-reward framework. Social media posts which presented food pictures and recipes were ranked most motivating, while awareness-raising posts received lower scores. Participants indicated a preference for viewing but reluctance to post information onto social media. "Just in time" situational cues were ranked highly and the use of an "authoritative" tone was preferred and associated with credibility. Young adults also ranked messages containing "Gen Y" language highly, with a preference for those which were personally relevant. The proposed use of social media and mobile-gaming was seen as an acceptable approach for improving vegetable intake. Materials should be visually appealing, simply designed, credible, and personally relevant to appeal to this population. This feedback may inform future mobile-phone based interventions targeting improved nutrition in young adults. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Public discourse and news consumption on online social media: A quantitative, cross-platform analysis of the Italian Referendum

    OpenAIRE

    Del Vicario, Michela; Gaito, Sabrina; Quattrociocchi, Walter; Zignani, Matteo; Zollo, Fabiana

    2017-01-01

    The rising attention to the spreading of fake news and unsubstantiated rumors on online social media and the pivotal role played by confirmation bias led researchers to investigate different aspects of the phenomenon. Experimental evidence showed that confirmatory information gets accepted even if containing deliberately false claims while dissenting information is mainly ignored or might even increase group polarization. It seems reasonable that, to address misinformation problem properly, w...

  11. CFD Optimization on Network-Based Parallel Computer System

    Science.gov (United States)

    Cheung, Samson H.; VanDalsem, William (Technical Monitor)

    1994-01-01

    Combining multiple engineering workstations into a network-based heterogeneous parallel computer allows application of aerodynamic optimization with advance computational fluid dynamics codes, which is computationally expensive in mainframe supercomputer. This paper introduces a nonlinear quasi-Newton optimizer designed for this network-based heterogeneous parallel computer on a software called Parallel Virtual Machine. This paper will introduce the methodology behind coupling a Parabolized Navier-Stokes flow solver to the nonlinear optimizer. This parallel optimization package has been applied to reduce the wave drag of a body of revolution and a wing/body configuration with results of 5% to 6% drag reduction.

  12. C-HUB: a communication and network platform targeting the Generation Plus and their social and care networks

    DEFF Research Database (Denmark)

    Asboe, Mark; Fernandes, Joao; Grönvall, Erik

    2010-01-01

    This paper presents an ongoing project that focuses on improving the quality of life for senior citizens by developing IT support for independent living in their homes. We introduce a concept that explores and supports coordination within a social and care community targeting elderly people....... The paper reports on early project findings such as how elderly perceive a touch screen based interface and why a touch screen based interface might be favorable for this category of users in respect to a standard PC. Furthermore, This paper contributes to the societal debate on how IT may support ageing...

  13. THE NEED FOR A MORE EFFICIENT USER NOTIFICATION SYSTEM IN USING SOCIAL NETWORKS AS UBIQUITOUS LEARNING PLATFORMS

    Directory of Open Access Journals (Sweden)

    Can MIHCI

    2017-01-01

    Full Text Available While carrying out formative assessment activities over social network services (SNS, it has been noted that personalized notifications have a high chance of “the important post getting lost” in the notification feed. In order to highlight this problem, this paper compares within a posttest only quasi-experiment, a total of 104 first year undergraduate students, all of which are prospective ICT teachers, in two groups. A formative assessment system in the ubiquitous learning context is delivered over an SNS in both groups. In the first group, the SNS has been used for the entire assessment task. In the second group, the questions have been delivered and responses were received over mobile phone “SMS” messages, while the SNS was used solely for providing feedback. The cases were compared in terms of voluntary participation rates and academic success. Both response rates and academic success have been significantly higher in the SMS group. When asked their reasons for not responding to questions; the SNS-only group frequently reported “not noticing the questions being sent”. This may indicate a flaw in message design for using social networks as LMS's. Sensible use of push-messages is advised.

  14. ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives

    Directory of Open Access Journals (Sweden)

    Muhammad Fahim

    2014-05-01

    Full Text Available Technology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active lifestyle. We are conducting a project, ATHENA(activity-awareness for human-engaged wellness applications to design and integrate the relationship between these basic health primitives to approximate the human lifestyle and real-time recommendations for wellbeing services. Our goal is to develop a system to promote an active lifestyle for individuals and to recommend to them valuable interventions by making comparisons to their past habits. The proposed system processes sensory data through our developed machine learning algorithms inside smart devices and utilizes cloud infrastructure to reduce the cost. We exploit big data infrastructure for massive sensory data storage and fast retrieval for recommendations. Our contributions include the development of a prototype system to promote an active lifestyle and a visual design capable of engaging users in the goal of increasing self-motivation. We believe that our study will impact the design of future ubiquitous wellness applications.

  15. ATHENA: a personalized platform to promote an active lifestyle and wellbeing based on physical, mental and social health primitives.

    Science.gov (United States)

    Fahim, Muhammad; Idris, Muhammad; Ali, Rahman; Nugent, Christopher; Kang, Byeong; Huh, Eui-Nam; Lee, Sungyoung

    2014-05-23

    Technology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active lifestyle. We are conducting a project, ATHENA(activity-awareness for human-engaged wellness applications) to design and integrate the relationship between these basic health primitives to approximate the human lifestyle and real-time recommendations for wellbeing services. Our goal is to develop a system to promote an active lifestyle for individuals and to recommend to them valuable interventions by making comparisons to their past habits. The proposed system processes sensory data through our developed machine learning algorithms inside smart devices and utilizes cloud infrastructure to reduce the cost. We exploit big data infrastructure for massive sensory data storage and fast retrieval for recommendations. Our contributions include the development of a prototype system to promote an active lifestyle and a visual design capable of engaging users in the goal of increasing self-motivation. We believe that our study will impact the design of future ubiquitous wellness applications.

  16. Artificial Neural Network Based State Estimators Integrated into Kalmtool

    DEFF Research Database (Denmark)

    Bayramoglu, Enis; Ravn, Ole; Poulsen, Niels Kjølstad

    2012-01-01

    In this paper we present a toolbox enabling easy evaluation and comparison of dierent ltering algorithms. The toolbox is called Kalmtool and is a set of MATLAB tools for state estimation of nonlinear systems. The toolbox now contains functions for Articial Neural Network Based State Estimation...

  17. Real-Time Social Data Collection in Rural Bangladesh via a ‘Microtasks for Micropayments’ Platform on Android Smartphones

    Science.gov (United States)

    Ward, Patrick S.; Killilea, Mary E.; Tamal, Md. Ehsanul Haque

    2016-01-01

    The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a ‘microtasks for micropayments’ model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations. PMID:27832116

  18. Real-Time Social Data Collection in Rural Bangladesh via a 'Microtasks for Micropayments' Platform on Android Smartphones.

    Directory of Open Access Journals (Sweden)

    Andrew Reid Bell

    Full Text Available The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a 'microtasks for micropayments' model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations.

  19. Distance learning strategies for weight management utilizing social media: A comparison of phone conference call versus social media platform. Rationale and design for a randomized study.

    Science.gov (United States)

    Willis, Erik A; Szabo-Reed, Amanda N; Ptomey, Lauren T; Steger, Felicia L; Honas, Jeffery J; Al-Hihi, Eyad M; Lee, Robert; Vansaghi, Lisa; Washburn, Richard A; Donnelly, Joseph E

    2016-03-01

    Management of obesity in the context of the primary care physician visit is of limited efficacy in part because of limited ability to engage participants in sustained behavior change between physician visits. Therefore, healthcare systems must find methods to address obesity that reach beyond the walls of clinics and hospitals and address the issues of lifestyle modification in a cost-conscious way. The dramatic increase in technology and online social networks may present healthcare providers with innovative ways to deliver weight management programs that could have an impact on health care at the population level. A randomized study will be conducted on 70 obese adults (BMI 30.0-45.0 kg/m(2)) to determine if weight loss (6 months) is equivalent between weight management interventions utilizing behavioral strategies by either a conference call or social media approach. The primary outcome, body weight, will be assessed at baseline and 6 months. Secondary outcomes including waist circumference, energy and macronutrient intake, and physical activity will be assessed on the same schedule. In addition, a cost analysis and process evaluation will be completed. Copyright © 2016 Elsevier Inc. All rights reserved.

  20. Space platforms

    Science.gov (United States)

    1983-04-01

    The expanded scientific capabilities available by interfacing an orbital, free-flying experiments platform with Shuttle tending are outlined. The platform would be lifted to orbit by the Shuttle, and modularly increased in size on subsequent flights. Science packages could be left on the 26,000 lb space platform for up to six months. Component sections would include electrical and thermal control systems, berthing ports for payloads and an Orbiter, and an attitude control, communications, and data handling subsection. A 12 kW solar array would furnish power, and interconnect with Spacelab would further enhance the operations range. All berthed science packages would have individual pointing ability and grapples for the Orbiter RMS. Eventual evolution to include facilities for a human crew and a 25 kW solar array is projected.

  1. Building Nationally-Focussed, Globally Federated, High Performance Earth Science Platforms to Solve Next Generation Social and Economic Issues.

    Science.gov (United States)

    Wyborn, Lesley; Evans, Ben; Foster, Clinton; Pugh, Timothy; Uhlherr, Alfred

    2015-04-01

    Digital geoscience data and information are integral to informing decisions on the social, economic and environmental management of natural resources. Traditionally, such decisions were focused on regional or national viewpoints only, but it is increasingly being recognised that global perspectives are required to meet new challenges such as predicting impacts of climate change; sustainably exploiting scarce water, mineral and energy resources; and protecting our communities through better prediction of the behaviour of natural hazards. In recent years, technical advances in scientific instruments have resulted in a surge in data volumes, with data now being collected at unprecedented rates and at ever increasing resolutions. The size of many earth science data sets now exceed the computational capacity of many government and academic organisations to locally store and dynamically access the data sets; to internally process and analyse them to high resolutions; and then to deliver them online to clients, partners and stakeholders. Fortunately, at the same time, computational capacities have commensurately increased (both cloud and HPC): these can now provide the capability to effectively access the ever-growing data assets within realistic time frames. However, to achieve this, data and computing need to be co-located: bandwidth limits the capacity to move the large data sets; the data transfers are too slow; and latencies to access them are too high. These scenarios are driving the move towards more centralised High Performance (HP) Infrastructures. The rapidly increasing scale of data, the growing complexity of software and hardware environments, combined with the energy costs of running such infrastructures is creating a compelling economic argument for just having one or two major national (or continental) HP facilities that can be federated internationally to enable earth and environmental issues to be tackled at global scales. But at the same time, if

  2. Bayesian-network-based fault diagnosis methodology of subsea jumper

    Science.gov (United States)

    Cai, Baoping; Liu, Yonghong; Huang, Lei; Hu, Song; Xue, Haitao; Wang, Jiaxing

    2017-10-01

    The paper proposes a Bayesian-network-based real-time fault diagnosis methodology of M-shaped subsea jumper. Finite element models of a typical M-shaped subsea jumper system are built to get the data for diagnosis. Netica is Bayesian-network -based software and is used to construct diagnosis models of the jumper in two main loading conditions which are falling objects and seabed moving. The results show that the accuracy of falling objects diagnosis model with four faults is 100%, and the accuracy of seabed moving diagnosis model with two faults is also 100%. Combine the two models into one and the accuracy of combined model is 96.59%. The effectiveness of the proposed method is validated.

  3. A network-based dynamical ranking system for competitive sports

    Science.gov (United States)

    Motegi, Shun; Masuda, Naoki

    2012-12-01

    From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score of a player (or team) fluctuates over time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. We derive a set of linear online update equations for the score of each player. The proposed ranking system predicts the outcome of the future games with a higher accuracy than the static counterparts.

  4. A network-based dynamical ranking system for competitive sports.

    Science.gov (United States)

    Motegi, Shun; Masuda, Naoki

    2012-01-01

    From the viewpoint of networks, a ranking system for players or teams in sports is equivalent to a centrality measure for sports networks, whereby a directed link represents the result of a single game. Previously proposed network-based ranking systems are derived from static networks, i.e., aggregation of the results of games over time. However, the score of a player (or team) fluctuates over time. Defeating a renowned player in the peak performance is intuitively more rewarding than defeating the same player in other periods. To account for this factor, we propose a dynamic variant of such a network-based ranking system and apply it to professional men's tennis data. We derive a set of linear online update equations for the score of each player. The proposed ranking system predicts the outcome of the future games with a higher accuracy than the static counterparts.

  5. Performance evaluation of cellular phone network based portable ECG device.

    Science.gov (United States)

    Hong, Joo-Hyun; Cha, Eun-Jong; Lee, Tae-Soo

    2008-01-01

    In this study, cellular phone network based portable ECG device was developed and three experiments were performed to evaluate the accuracy, reliability and operability, applicability during daily life of the developed device. First, ECG signals were measured using the developed device and Biopac device (reference device) during sitting and marking time and compared to verify the accuracy of R-R intervals. Second, the reliable data transmission to remote server was verified on two types of simulated emergency event using patient simulator. Third, during daily life with five types of motion, accuracy of data transmission to remote server was verified on two types of event occurring. By acquiring and comparing subject's biomedical signal and motion signal, the accuracy, reliability and operability, applicability during daily life of the developed device were verified. Therefore, cellular phone network based portable ECG device can monitor patient with inobtrusive manner.

  6. Platform computing

    CERN Multimedia

    2002-01-01

    "Platform Computing releases first grid-enabled workload management solution for IBM eServer Intel and UNIX high performance computing clusters. This Out-of-the-box solution maximizes the performance and capability of applications on IBM HPC clusters" (1/2 page) .

  7. Payment Platform

    DEFF Research Database (Denmark)

    Hjelholt, Morten; Damsgaard, Jan

    2012-01-01

    Payment transactions through the use of physical coins, bank notes or credit cards have for centuries been the standard formats of exchanging money. Recently online and mobile digital payment platforms has entered the stage as contenders to this position and possibly could penetrate societies...

  8. A Neural Network-Based Interval Pattern Matcher

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2015-07-01

    Full Text Available One of the most important roles in the machine learning area is to classify, and neural networks are very important classifiers. However, traditional neural networks cannot identify intervals, let alone classify them. To improve their identification ability, we propose a neural network-based interval matcher in our paper. After summarizing the theoretical construction of the model, we take a simple and a practical weather forecasting experiment, which show that the recognizer accuracy reaches 100% and that is promising.

  9. Wireless Sensor Network Based Subsurface Contaminant Plume Monitoring

    Science.gov (United States)

    2012-04-16

    conventional WSN . VSN enabled closed loop system consumes more energy than the VSN only system, because of the commands that are send to the nodes. Energy ...predict future plume behavior. This proof-of-concept research aimed at demonstrating the use of an intelligent Wireless Sensor Network ( WSN ) to...Network ( WSN ) to monitor contaminant plume movement in naturally heterogeneous subsurface formations to advance the sensor networking based monitoring

  10. Bibliometrics for Social Validation

    National Research Council Canada - National Science Library

    Hicks, Daniel J

    2016-01-01

      This paper introduces a bibliometric, citation network-based method for assessing the social validation of novel research, and applies this method to the development of high-throughput toxicology...

  11. An Evaluation and Demonstration of a Network Based Aircraft Telemetry System

    Science.gov (United States)

    Waldersen, Matt; Schnarr, Otto, III

    2017-01-01

    The primary topics of this presentation describe the testing of network based telemetry and RF modulation techniques. The overall intend is to aid the aerospace industry in transitioning to a network based telemetry system.

  12. Optical-Correlator Neural Network Based On Neocognitron

    Science.gov (United States)

    Chao, Tien-Hsin; Stoner, William W.

    1994-01-01

    Multichannel optical correlator implements shift-invariant, high-discrimination pattern-recognizing neural network based on paradigm of neocognitron. Selected as basic building block of this neural network because invariance under shifts is inherent advantage of Fourier optics included in optical correlators in general. Neocognitron is conceptual electronic neural-network model for recognition of visual patterns. Multilayer processing achieved by iteratively feeding back output of feature correlator to input spatial light modulator and updating Fourier filters. Neural network trained by use of characteristic features extracted from target images. Multichannel implementation enables parallel processing of large number of selected features.

  13. A reconsideration of negative ratings for network-based recommendation

    Science.gov (United States)

    Hu, Liang; Ren, Liang; Lin, Wenbin

    2018-01-01

    Recommendation algorithms based on bipartite networks have become increasingly popular, thanks to their accuracy and flexibility. Currently, many of these methods ignore users' negative ratings. In this work, we propose a method to exploit negative ratings for the network-based inference algorithm. We find that negative ratings play a positive role regardless of sparsity of data sets. Furthermore, we improve the efficiency of our method and compare it with the state-of-the-art algorithms. Experimental results show that the present method outperforms the existing algorithms.

  14. The competitive dynamics of network-based businesses.

    Science.gov (United States)

    Coyne, K P; Dye, R

    1998-01-01

    Telecommunications carriers, transportation companies, and banks are among the many network-based businesses--companies that move people, goods, or information from various points to various other points. Managers have long assumed that customers valued all links in these networks equally. It was thought that banking customers, for example, sought access to all of the branches throughout the network or that shipping customers wanted to be able to send packages everywhere. Intuitively, managers thought that many of their customers' needs were, in reality, narrower, but they had no way of knowing which links were most important. New computing power and robust mapping software now make it possible to understand network customers better. In applying this technology, the authors, both consultants from McKinsey & Company, have uncovered three distinct usage patterns: one in which all links are, indeed, valued equally; another in which customers concentrate their use in particular zones; and a third in which customers value only individual links. Each of these patterns requires a different strategy to direct executives in making the decisions fundamental to managing any network-based business: whether to open or close outlets, whether to connect their network to others, and how to organize business units so that they reflect the network's structure. Those who don't spot the patterns or understand their strategic implications will find themselves on the losing end of the network battle.

  15. Determinants of user acceptance of a specific social platform for older adults: An empirical examination of user interface characteristics and behavioral intention

    National Research Council Canada - National Science Library

    Tsai-Hsuan Tsai; Hsien-Tsung Chang; Yan-Jiun Chen; Yung-Sheng Chang

    2017-01-01

    The use of the Internet and social applications has many benefits for the elderly, but numerous investigations have shown that the elderly do not perceive online social networks as a friendly social environment...

  16. Neural network based feed-forward high density associative memory

    Science.gov (United States)

    Daud, T.; Moopenn, A.; Lamb, J. L.; Ramesham, R.; Thakoor, A. P.

    1987-01-01

    A novel thin film approach to neural-network-based high-density associative memory is described. The information is stored locally in a memory matrix of passive, nonvolatile, binary connection elements with a potential to achieve a storage density of 10 to the 9th bits/sq cm. Microswitches based on memory switching in thin film hydrogenated amorphous silicon, and alternatively in manganese oxide, have been used as programmable read-only memory elements. Low-energy switching has been ascertained in both these materials. Fabrication and testing of memory matrix is described. High-speed associative recall approaching 10 to the 7th bits/sec and high storage capacity in such a connection matrix memory system is also described.

  17. Semisupervised Clustering for Networks Based on Fast Affinity Propagation

    Directory of Open Access Journals (Sweden)

    Mu Zhu

    2013-01-01

    Full Text Available Most of the existing clustering algorithms for networks are unsupervised, which cannot help improve the clustering quality by utilizing a small number of prior knowledge. We propose a semisupervised clustering algorithm for networks based on fast affinity propagation (SCAN-FAP, which is essentially a kind of similarity metric learning method. Firstly, we define a new constraint similarity measure integrating the structural information and the pairwise constraints, which reflects the effective similarities between nodes in networks. Then, taking the constraint similarities as input, we propose a fast affinity propagation algorithm which keeps the advantages of the original affinity propagation algorithm while increasing the time efficiency by passing only the messages between certain nodes. Finally, by extensive experimental studies, we demonstrate that the proposed algorithm can take fully advantage of the prior knowledge and improve the clustering quality significantly. Furthermore, our algorithm has a superior performance to some of the state-of-art approaches.

  18. Acceleration of spiking neural network based pattern recognition on NVIDIA graphics processors.

    Science.gov (United States)

    Han, Bing; Taha, Tarek M

    2010-04-01

    There is currently a strong push in the research community to develop biological scale implementations of neuron based vision models. Systems at this scale are computationally demanding and generally utilize more accurate neuron models, such as the Izhikevich and the Hodgkin-Huxley models, in favor of the more popular integrate and fire model. We examine the feasibility of using graphics processing units (GPUs) to accelerate a spiking neural network based character recognition network to enable such large scale systems. Two versions of the network utilizing the Izhikevich and Hodgkin-Huxley models are implemented. Three NVIDIA general-purpose (GP) GPU platforms are examined, including the GeForce 9800 GX2, the Tesla C1060, and the Tesla S1070. Our results show that the GPGPUs can provide significant speedup over conventional processors. In particular, the fastest GPGPU utilized, the Tesla S1070, provided a speedup of 5.6 and 84.4 over highly optimized implementations on the fastest central processing unit (CPU) tested, a quadcore 2.67 GHz Xeon processor, for the Izhikevich and the Hodgkin-Huxley models, respectively. The CPU implementation utilized all four cores and the vector data parallelism offered by the processor. The results indicate that GPUs are well suited for this application domain.

  19. Cooperative spectrum sensing using USRP platforms

    Science.gov (United States)

    Kaszuba-Checińska, A.; Checiński, R.; Łopatka, J.

    2017-04-01

    This paper describes a cooperative sensing method implemented on software defined radio platforms USRP (Universal Software Radio Peripheral). Each node of the radio network realizes spectrum sensing with a multichannel energy detector. A WOLA (Weighted Overlap-Add) filterbank is used to split input wideband signal into set of subchannels, with energy detections performed afterwards. Sensing data from each node are sent to master node (Cluster Head) via commercial network. Based on received data, CH creates a matrix of channels occupancy and list of backup channels potentially available for own transmission.

  20. Evaluation of the strengths and weaknesses of Text Mining and Netnography as methods of understanding consumer conversations around luxury brands on social media platforms.

    OpenAIRE

    SAINI, CHITRA; ,

    2015-01-01

    The advent of social media has led to Luxury brands increasingly turning to social media sites to build brand value. Understanding the discussions that happen on social media is therefore a key for the marketing managers of luxury brands. There are two prominent methodologies which have been used widely in the literature to study consumer conversations on social media, these two methodologies are Text Mining and Netnography. In this study I will compare and contrast both these methodologies t...

  1. Environmental complexity influences association network structure and network-based diffusion of foraging information in fish shoals.

    Science.gov (United States)

    Webster, Mike M; Atton, Nicola; Hoppitt, William J E; Laland, Kevin N

    2013-02-01

    Socially transmitted information can significantly affect the ways in which animals interact with their environments. We used network-based diffusion analysis, a novel and powerful tool for exploring information transmission, to model the rate at which sticklebacks (Gasterosteus aculeatus) discovered prey patches, comparing shoals foraging in open and structured environments. We found that for groups in the open environment, individuals tended to recruit to both the prey patch and empty comparison patches at similar times, suggesting that patch discovery was not greatly affected by direct social transmission. In contrast, in structured environments we found strong evidence that information about prey patch location was socially transmitted and moreover that the pathway of information transmission followed the shoals' association network structures. Our findings highlight the importance of considering habitat structure when investigating the diffusion of information through populations and imply that association networks take on greater ecological significance in structured than open environments.

  2. Determinants of user acceptance of a specific social platform for older adults: An empirical examination of user interface characteristics and behavioral intention

    Science.gov (United States)

    Chang, Hsien-Tsung; Chen, Yan-Jiun; Chang, Yung-Sheng

    2017-01-01

    The use of the Internet and social applications has many benefits for the elderly, but numerous investigations have shown that the elderly do not perceive online social networks as a friendly social environment. Therefore, TreeIt, a social application specifically designed for the elderly, was developed for this study. In the TreeIt application, seven mechanisms promoting social interaction were designed to allow older adults to use social networking sites (SNSs) to increase social connection, maintain the intensity of social connections and strengthen social experience. This study’s main objective was to investigate how user interface design affects older people’s intention and attitude related to using SNSs. Fourteen user interface evaluation heuristics proposed by Zhang et al. were adopted as the criteria to assess user interface usability and further grouped into three categories: system support, user interface design and navigation. The technology acceptance model was adopted to assess older people’s intention and attitude related to using SNSs. One hundred and one elderly persons were enrolled in this study as subjects, and the results showed that all of the hypotheses proposed in this study were valid: system support and perceived usefulness had a significant effect on behavioral intention; user interface design and perceived ease of use were positively correlated with perceived usefulness; and navigation exerted an influence on perceived ease of use. The results of this study are valuable for the future development of social applications for the elderly. PMID:28837566

  3. Determinants of user acceptance of a specific social platform for older adults: An empirical examination of user interface characteristics and behavioral intention.

    Science.gov (United States)

    Tsai, Tsai-Hsuan; Chang, Hsien-Tsung; Chen, Yan-Jiun; Chang, Yung-Sheng

    2017-01-01

    The use of the Internet and social applications has many benefits for the elderly, but numerous investigations have shown that the elderly do not perceive online social networks as a friendly social environment. Therefore, TreeIt, a social application specifically designed for the elderly, was developed for this study. In the TreeIt application, seven mechanisms promoting social interaction were designed to allow older adults to use social networking sites (SNSs) to increase social connection, maintain the intensity of social connections and strengthen social experience. This study's main objective was to investigate how user interface design affects older people's intention and attitude related to using SNSs. Fourteen user interface evaluation heuristics proposed by Zhang et al. were adopted as the criteria to assess user interface usability and further grouped into three categories: system support, user interface design and navigation. The technology acceptance model was adopted to assess older people's intention and attitude related to using SNSs. One hundred and one elderly persons were enrolled in this study as subjects, and the results showed that all of the hypotheses proposed in this study were valid: system support and perceived usefulness had a significant effect on behavioral intention; user interface design and perceived ease of use were positively correlated with perceived usefulness; and navigation exerted an influence on perceived ease of use. The results of this study are valuable for the future development of social applications for the elderly.

  4. Determinants of user acceptance of a specific social platform for older adults: An empirical examination of user interface characteristics and behavioral intention.

    Directory of Open Access Journals (Sweden)

    Tsai-Hsuan Tsai

    Full Text Available The use of the Internet and social applications has many benefits for the elderly, but numerous investigations have shown that the elderly do not perceive online social networks as a friendly social environment. Therefore, TreeIt, a social application specifically designed for the elderly, was developed for this study. In the TreeIt application, seven mechanisms promoting social interaction were designed to allow older adults to use social networking sites (SNSs to increase social connection, maintain the intensity of social connections and strengthen social experience. This study's main objective was to investigate how user interface design affects older people's intention and attitude related to using SNSs. Fourteen user interface evaluation heuristics proposed by Zhang et al. were adopted as the criteria to assess user interface usability and further grouped into three categories: system support, user interface design and navigation. The technology acceptance model was adopted to assess older people's intention and attitude related to using SNSs. One hundred and one elderly persons were enrolled in this study as subjects, and the results showed that all of the hypotheses proposed in this study were valid: system support and perceived usefulness had a significant effect on behavioral intention; user interface design and perceived ease of use were positively correlated with perceived usefulness; and navigation exerted an influence on perceived ease of use. The results of this study are valuable for the future development of social applications for the elderly.

  5. A Quantum Cryptography Communication Network Based on Software Defined Network

    Directory of Open Access Journals (Sweden)

    Zhang Hongliang

    2018-01-01

    Full Text Available With the development of the Internet, information security has attracted great attention in today’s society, and quantum cryptography communication network based on quantum key distribution (QKD is a very important part of this field, since the quantum key distribution combined with one-time-pad encryption scheme can guarantee the unconditional security of the information. The secret key generated by quantum key distribution protocols is a very valuable resource, so making full use of key resources is particularly important. Software definition network (SDN is a new type of network architecture, and it separates the control plane and the data plane of network devices through OpenFlow technology, thus it realizes the flexible control of the network resources. In this paper, a quantum cryptography communication network model based on SDN is proposed to realize the flexible control of quantum key resources in the whole cryptography communication network. Moreover, we propose a routing algorithm which takes into account both the hops and the end-to-end availible keys, so that the secret key generated by QKD can be used effectively. We also simulate this quantum cryptography communication network, and the result shows that based on SDN and the proposed routing algorithm the performance of this network is improved since the effective use of the quantum key resources.

  6. Neural Network Based Intrusion Detection System for Critical Infrastructures

    Energy Technology Data Exchange (ETDEWEB)

    Todd Vollmer; Ondrej Linda; Milos Manic

    2009-07-01

    Resiliency and security in control systems such as SCADA and Nuclear plant’s in today’s world of hackers and malware are a relevant concern. Computer systems used within critical infrastructures to control physical functions are not immune to the threat of cyber attacks and may be potentially vulnerable. Tailoring an intrusion detection system to the specifics of critical infrastructures can significantly improve the security of such systems. The IDS-NNM – Intrusion Detection System using Neural Network based Modeling, is presented in this paper. The main contributions of this work are: 1) the use and analyses of real network data (data recorded from an existing critical infrastructure); 2) the development of a specific window based feature extraction technique; 3) the construction of training dataset using randomly generated intrusion vectors; 4) the use of a combination of two neural network learning algorithms – the Error-Back Propagation and Levenberg-Marquardt, for normal behavior modeling. The presented algorithm was evaluated on previously unseen network data. The IDS-NNM algorithm proved to be capable of capturing all intrusion attempts presented in the network communication while not generating any false alerts.

  7. An efficient neural network based method for medical image segmentation.

    Science.gov (United States)

    Torbati, Nima; Ayatollahi, Ahmad; Kermani, Ali

    2014-01-01

    The aim of this research is to propose a new neural network based method for medical image segmentation. Firstly, a modified self-organizing map (SOM) network, named moving average SOM (MA-SOM), is utilized to segment medical images. After the initial segmentation stage, a merging process is designed to connect the objects of a joint cluster together. A two-dimensional (2D) discrete wavelet transform (DWT) is used to build the input feature space of the network. The experimental results show that MA-SOM is robust to noise and it determines the input image pattern properly. The segmentation results of breast ultrasound images (BUS) demonstrate that there is a significant correlation between the tumor region selected by a physician and the tumor region segmented by our proposed method. In addition, the proposed method segments X-ray computerized tomography (CT) and magnetic resonance (MR) head images much better than the incremental supervised neural network (ISNN) and SOM-based methods. © 2013 Published by Elsevier Ltd.

  8. Deep Network Based on Stacked Orthogonal Convex Incremental ELM Autoencoders

    Directory of Open Access Journals (Sweden)

    Chao Wang

    2016-01-01

    Full Text Available Extreme learning machine (ELM as an emerging technology has recently attracted many researchers’ interest due to its fast learning speed and state-of-the-art generalization ability in the implementation. Meanwhile, the incremental extreme learning machine (I-ELM based on incremental learning algorithm was proposed which outperforms many popular learning algorithms. However, the incremental algorithms with ELM do not recalculate the output weights of all the existing nodes when a new node is added and cannot obtain the least-squares solution of output weight vectors. In this paper, we propose orthogonal convex incremental learning machine (OCI-ELM with Gram-Schmidt orthogonalization method and Barron’s convex optimization learning method to solve the nonconvex optimization problem and least-squares solution problem, and then we give the rigorous proofs in theory. Moreover, in this paper, we propose a deep architecture based on stacked OCI-ELM autoencoders according to stacked generalization philosophy for solving large and complex data problems. The experimental results verified with both UCI datasets and large datasets demonstrate that the deep network based on stacked OCI-ELM autoencoders (DOC-IELM-AEs outperforms the other methods mentioned in the paper with better performance on regression and classification problems.

  9. Network-based analysis of software change propagation.

    Science.gov (United States)

    Wang, Rongcun; Huang, Rubing; Qu, Binbin

    2014-01-01

    The object-oriented software systems frequently evolve to meet new change requirements. Understanding the characteristics of changes aids testers and system designers to improve the quality of softwares. Identifying important modules becomes a key issue in the process of evolution. In this context, a novel network-based approach is proposed to comprehensively investigate change distributions and the correlation between centrality measures and the scope of change propagation. First, software dependency networks are constructed at class level. And then, the number of times of cochanges among classes is minded from software repositories. According to the dependency relationships and the number of times of cochanges among classes, the scope of change propagation is calculated. Using Spearman rank correlation analyzes the correlation between centrality measures and the scope of change propagation. Three case studies on java open source software projects Findbugs, Hibernate, and Spring are conducted to research the characteristics of change propagation. Experimental results show that (i) change distribution is very uneven; (ii) PageRank, Degree, and CIRank are significantly correlated to the scope of change propagation. Particularly, CIRank shows higher correlation coefficient, which suggests it can be a more useful indicator for measuring the scope of change propagation of classes in object-oriented software system.

  10. Visualization of Complex Networks Based on Dyadic Curvelet Transform

    Directory of Open Access Journals (Sweden)

    Kaoru Hirota

    2006-07-01

    Full Text Available A visualization method is proposed for understanding the structure of complex networks based on an extended Curvelet transform named Dyadic Curvelet Transform (DClet. The proposed visualization method comes to answer specific questions about structures of complex networks by mapping data into orthogonal localized events with a directional component via the Cartesian sampling sets of detail coefficients. It behaves in the same matter as human visual system, seeing in terms of segments and distinguishing them by scale and orientation. Compressing the network is another fact. The performance of the proposed method is evaluated by two different networks with structural properties of small world networks with N = 16 vertices, and a globally coupled network with size N = 1024 and 523 776 edges. As the most large scale real networks are not fully connected, it is tested on the telecommunication network of Iran as a real extremely complex network with 92 intercity switching vertices, 706 350 E1 traffic channels and 315 525 transmission channels. It is shown that the proposed method performs as a simulation tool for successfully design of network and establishing the necessary group sizes. It can clue the network designer in on all structural properties that network has.

  11. Network-based reading system for lung cancer screening CT

    Science.gov (United States)

    Fujino, Yuichi; Fujimura, Kaori; Nomura, Shin-ichiro; Kawashima, Harumi; Tsuchikawa, Megumu; Matsumoto, Toru; Nagao, Kei-ichi; Uruma, Takahiro; Yamamoto, Shinji; Takizawa, Hotaka; Kuroda, Chikazumi; Nakayama, Tomio

    2006-03-01

    This research aims to support chest computed tomography (CT) medical checkups to decrease the death rate by lung cancer. We have developed a remote cooperative reading system for lung cancer screening over the Internet, a secure transmission function, and a cooperative reading environment. It is called the Network-based Reading System. A telemedicine system involves many issues, such as network costs and data security if we use it over the Internet, which is an open network. In Japan, broadband access is widespread and its cost is the lowest in the world. We developed our system considering human machine interface and security. It consists of data entry terminals, a database server, a computer aided diagnosis (CAD) system, and some reading terminals. It uses a secure Digital Imaging and Communication in Medicine (DICOM) encrypting method and Public Key Infrastructure (PKI) based secure DICOM image data distribution. We carried out an experimental trial over the Japan Gigabit Network (JGN), which is the testbed for the Japanese next-generation network, and conducted verification experiments of secure screening image distribution, some kinds of data addition, and remote cooperative reading. We found that network bandwidth of about 1.5 Mbps enabled distribution of screening images and cooperative reading and that the encryption and image distribution methods we proposed were applicable to the encryption and distribution of general DICOM images via the Internet.

  12. A practice scaffolding interactive platform

    DEFF Research Database (Denmark)

    Bundsgaard, Jeppe

    2009-01-01

    A Practice Scaffolding Interactive Platform (PracSIP) is a social learning platform which supports students in collaborative project based learning by simulating a professional practice. A PracSIP puts the core tools of the simulated practice at the students' disposal, it organizes collaboration......, structures the students' activity, and interactively supports subject learning. A PracSIP facilitates students' development of complex competencies, and at the same time it supports the students' development of skills defined in the curriculum. The paper introduces the concept, presents the theoretical...... foundations, and gives an example of a PracSIP....

  13. Multi-loop social learning for sustainable land and water governance: Towards a research agenda on the potential of virtual learning platforms

    NARCIS (Netherlands)

    Medema, W.J.; Wals, A.E.J.; Adamowski, J.

    2014-01-01

    Managing social-ecological systems and human well being in a sustainable way requires knowledge of these systems in their full complexity. Multi-loop social learning is recognized as a crucial element to sustainable decision-making for land and water resources management involving a process of

  14. Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines

    Science.gov (United States)

    Sidelnikov, O. S.; Redyuk, A. A.; Sygletos, S.

    2017-12-01

    We consider neural network-based schemes of digital signal processing. It is shown that the use of a dynamic neural network-based scheme of signal processing ensures an increase in the optical signal transmission quality in comparison with that provided by other methods for nonlinear distortion compensation.

  15. Combining Host-based and network-based intrusion detection system

    African Journals Online (AJOL)

    These attacks were simulated using hping. The proposed system is implemented in Java. The results show that the proposed system is able to detect attacks both from within (host-based) and outside sources (network-based). Key Words: Intrusion Detection System (IDS), Host-based, Network-based, Signature, Security log.

  16. Envisioning a social-health information exchange as a platform to support a patient-centered medical neighborhood: a feasibility study.

    Science.gov (United States)

    Nguyen, Oanh Kieu; Chan, Connie V; Makam, Anil; Stieglitz, Heather; Amarasingham, Ruben

    2015-01-01

    Social determinants directly contribute to poorer health, and coordination between healthcare and community-based resources is pivotal to addressing these needs. However, our healthcare system remains poorly equipped to address social determinants of health. The potential of health information technology to bridge this gap across the delivery of healthcare and social services remains unrealized. We conducted in-depth, in-person interviews with 50 healthcare and social service providers to determine the feasibility of a social-health information exchange (S-HIE) in an urban safety-net setting in Dallas County, Texas. After completion of interviews, we conducted a town hall meeting to identify desired functionalities for a S-HIE. We conducted thematic analysis of interview responses using the constant comparative method to explore perceptions about current communication and coordination across sectors, and barriers and enablers to S-HIE implementation. We sought participant confirmation of findings and conducted a forced-rank vote during the town hall to prioritize potential S-HIE functionalities. We found that healthcare and social service providers perceived a need for improved information sharing, communication, and care coordination across sectors and were enthusiastic about the potential of a S-HIE, but shared many technical, legal, and ethical concerns around cross-sector information sharing. Desired technical S-HIE functionalities encompassed fairly simple transactional operations such as the ability to view basic demographic information, visit and referral data, and medical history from both healthcare and social service settings. A S-HIE is an innovative and feasible approach to enabling better linkages between healthcare and social service providers. However, to develop S-HIEs in communities across the country, policy interventions are needed to standardize regulatory requirements, to foster increased IT capability and uptake among social service agencies

  17. Dynamic network-based epistasis analysis: Boolean examples

    Directory of Open Access Journals (Sweden)

    Eugenio eAzpeitia

    2011-12-01

    Full Text Available In this review we focus on how the hierarchical and single-path assumptions of epistasis analysis can bias the topologies of gene interactions infered. This has been acknowledged in several previous papers and reviews, but here we emphasize the critical importance of dynamic analyses, and specifically illustrate the use of Boolean network models. Epistasis in a broad sense refers to gene interactions, however, as originally proposed by Bateson (herein, classical epistasis, defined as the blocking of a particular allelic effect due to the effect of another allele at a different locus. Classical epistasis analysis has proven powerful and useful, allowing researchers to infer and assign directionality to gene interactions. As larger data sets are becoming available, the analysis of classical epistasis is being complemented with computer science tools and system biology approaches. We show that when the hierarchical and single-path assumptions are not met in classical epistasis analysis, the access to relevant information and the correct gene interaction topologies are hindered, and it becomes necessary to consider the temporal dynamics of gene interactions. The use of dynamical networks can overcome these limitations. We particularly focus on the use of Boolean networks that, like classical epistasis analysis, relies on logical formalisms, and hence can complement classical epistasis analysis and relax its assumptions. We develop a couple of theoretical examples and analyze them from a dynamic Boolean network model perspective. Boolean networks could help to guide additional experiments and discern among alternative regulatory schemes that would be impossible or difficult to infer without the elimination of these assumption from the classical epistasis analysis. We also use examples from the literature to show how a Boolean network-based approach has resolved ambiguities and guided epistasis analysis. Our review complements previous accounts, not

  18. Network-Based Substrate of Cognitive Reserve in Alzheimer's Disease.

    Science.gov (United States)

    Serra, Laura; Mancini, Matteo; Cercignani, Mara; Di Domenico, Carlotta; Spanò, Barbara; Giulietti, Giovanni; Koch, Giacomo; Marra, Camillo; Bozzali, Marco

    2017-01-01

    Cognitive reserve (CR) is known to modulate the clinical features of Alzheimer's disease (AD). This concept may be critical for the development of non-pharmacological interventions able to slow down patients' cognitive decline in the absence of disease-modifying treatments. We aimed at identifying the neurobiological substrates of CR (i.e., neural reserve) over the transition between normal aging and AD, by assessing the underlying brain networks and their topological properties. A cohort of 154 participants (n = 68 with AD, n = 61 with amnestic mild cognitive impairment (aMCI), and 25 healthy subjects) underwent resting-state functional MRI and neuropsychological testing. Within each group, participants were classified as having high or low CR, and functional connectivity measures were compared, within group, between high and low CR individuals. Network-based statistics and topological network properties derived from graph theory were explored. Connectivity differences between high and low CR were evident only for aMCI patients, with participants with high CR showing a significant increase of connectivity in a network involving mainly fronto-parietal nodes. Conversely, they showed significantly decreased connectivity in a network involving fronto-temporo-cerebellar nodes. Consistently, changes to topological measures were observed in either direction, and were associated with measures of global cognitive function. These findings support the hypothesis that CR impacts on neurodegenerative process in the early phase of AD only. In addition, they fit with the existence of a "neural reserve", characterized by specific neural networks and their efficiency. It remains to be demonstrated whether interventions later in life can modulate this "neural reserve".

  19. Does a Social Network Based Model of Journal Metrics Improve Ranking? A review of: Bollen, Johan, Herbert Van de Sompel, Joan A. Smith and Rick Luce. “Toward Alternative Metrics of Journal Impact: A Comparison of Download and Citation Data.” Information Processing and Management 41.6 (2005:1419‐40.

    Directory of Open Access Journals (Sweden)

    Carol Perryman

    2007-06-01

    Full Text Available Objective – To test a new model formeasuring journal impact by using principles of social networking. Research questions are as follows: 1. Can valid networks of journal relationships be derived from reader article download patterns registered in a digital library’s server logs? 2. Can social network metrics of journal impact validly be calculated from the structure of such networks? 3. If so, how do the resulting journal impact rankings relate to the ISI impact factor (IF?Design – Bibliometric, social network centrality analysisSetting – Los Alamos National Laboratory (LANL, New Mexico Subjects – 40,847 full‐text articles downloaded from a large digital library by 1,858 unique users over a 6 month period.Methods – Full‐text article downloads from a large digital library for a six‐month period were examined using social networking analysis methods. ISSNs for journals in which the retrieved articles were published were paired based upon the proximity of use by the same user, based on the supposition that proximal downloads are related in some way. Reader‐Generated Networks (RGNs were then tested for small‐world characteristics. The resulting RGN data were then compared with Author‐Generated Networks (AGNs for the same journals indexed in the Institute of Scientific Information (ISI annual impact factor (IF rankings, in the Journal Citation Reports (JCR database. Next, a sample of the AGN‐derived pairings was examined by a team of 22 scientists, who were asked to rate the strength of relationships between journals on a five‐point scale. Centrality ratings were calculated for the AGN and RGN sets of journals, as well as for the ISI IF.Main results – Closeness and centrality rankings for the ISI IF and the AGN metrics were low, but significant, suggesting that centrality metrics are an acceptable impact metric. Comparison between the RGN and ISI IF data found marked differences, with RGN mirroring local population needs

  20. ICS logging solution for network-based attacks using Gumistix technology

    Science.gov (United States)

    Otis, Jeremy R.; Berman, Dustin; Butts, Jonathan; Lopez, Juan

    2013-05-01

    Industrial Control Systems (ICS) monitor and control operations associated with the national critical infrastructure (e.g., electric power grid, oil and gas pipelines and water treatment facilities). These systems rely on technologies and architectures that were designed for system reliability and availability. Security associated with ICS was never an inherent concern, primarily due to the protections afforded by network isolation. However, a trend in ICS operations is to migrate to commercial networks via TCP/IP in order to leverage commodity benefits and cost savings. As a result, system vulnerabilities are now exposed to the online community. Indeed, recent research has demonstrated that many exposed ICS devices are being discovered using readily available applications (e.g., ShodanHQ search engine and Google-esque queries). Due to the lack of security and logging capabilities for ICS, most knowledge about attacks are derived from real world incidents after an attack has already been carried out and the damage has been done. This research provides a method for introducing sensors into the ICS environment that collect information about network-based attacks. The sensors are developed using an inexpensive Gumstix platform that can be deployed and incorporated with production systems. Data obtained from the sensors provide insight into attack tactics (e.g., port scans, Nessus scans, Metasploit modules, and zero-day exploits) and characteristics (e.g., attack origin, frequency, and level of persistence). Findings enable security professionals to draw an accurate, real-time awareness of the threats against ICS devices and help shift the security posture from reactionary to preventative.

  1. Energy Tracking Software Platform

    Energy Technology Data Exchange (ETDEWEB)

    Ryan Davis; Nathan Bird; Rebecca Birx; Hal Knowles

    2011-04-04

    Acceleration has created an interactive energy tracking and visualization platform that supports decreasing electric, water, and gas usage. Homeowners have access to tools that allow them to gauge their use and track progress toward a smaller energy footprint. Real estate agents have access to consumption data, allowing for sharing a comparison with potential home buyers. Home builders have the opportunity to compare their neighborhood's energy efficiency with competitors. Home energy raters have a tool for gauging the progress of their clients after efficiency changes. And, social groups are able to help encourage members to reduce their energy bills and help their environment. EnergyIT.com is the business umbrella for all energy tracking solutions and is designed to provide information about our energy tracking software and promote sales. CompareAndConserve.com (Gainesville-Green.com) helps homeowners conserve energy through education and competition. ToolsForTenants.com helps renters factor energy usage into their housing decisions.

  2. Neural network based adaptive output feedback control: Applications and improvements

    Science.gov (United States)

    Kutay, Ali Turker

    Application of recently developed neural network based adaptive output feedback controllers to a diverse range of problems both in simulations and experiments is investigated in this thesis. The purpose is to evaluate the theory behind the development of these controllers numerically and experimentally, identify the needs for further development in practical applications, and to conduct further research in directions that are identified to ultimately enhance applicability of adaptive controllers to real world problems. We mainly focus our attention on adaptive controllers that augment existing fixed gain controllers. A recently developed approach holds great potential for successful implementations on real world applications due to its applicability to systems with minimal information concerning the plant model and the existing controller. In this thesis the formulation is extended to the multi-input multi-output case for distributed control of interconnected systems and successfully tested on a formation flight wind tunnel experiment. The command hedging method is formulated for the approach to further broaden the class of systems it can address by including systems with input nonlinearities. Also a formulation is adopted that allows the approach to be applied to non-minimum phase systems for which non-minimum phase characteristics are modeled with sufficient accuracy and treated properly in the design of the existing controller. It is shown that the approach can also be applied to augment nonlinear controllers under certain conditions and an example is presented where the nonlinear guidance law of a spinning projectile is augmented. Simulation results on a high fidelity 6 degrees-of-freedom nonlinear simulation code are presented. The thesis also presents a preliminary adaptive controller design for closed loop flight control with active flow actuators. Behavior of such actuators in dynamic flight conditions is not known. To test the adaptive controller design in

  3. A Set of Free Cross-Platform Authoring Programs for Flexible Web-Based CALL Exercises

    Science.gov (United States)

    O'Brien, Myles

    2012-01-01

    The Mango Suite is a set of three freely downloadable cross-platform authoring programs for flexible network-based CALL exercises. They are Adobe Air applications, so they can be used on Windows, Macintosh, or Linux computers, provided the freely-available Adobe Air has been installed on the computer. The exercises which the programs generate are…

  4. Network Medicine: A Network-based Approach to Human Disease

    Science.gov (United States)

    Barabási, Albert-László; Gulbahce, Natali; Loscalzo, Joseph

    2011-01-01

    Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular network. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships between apparently distinct (patho)phenotypes. Advances in this direction are essential to identify new diseases genes, to uncover the biological significance of disease-associated mutations identified by genome-wide association studies and full genome sequencing, and to identify drug targets and biomarkers for complex diseases. PMID:21164525

  5. Sensor network based vehicle classification and license plate identification system

    Energy Technology Data Exchange (ETDEWEB)

    Frigo, Janette Rose [Los Alamos National Laboratory; Brennan, Sean M [Los Alamos National Laboratory; Rosten, Edward J [Los Alamos National Laboratory; Raby, Eric Y [Los Alamos National Laboratory; Kulathumani, Vinod K [WEST VIRGINIA UNIV.

    2009-01-01

    Typically, for energy efficiency and scalability purposes, sensor networks have been used in the context of environmental and traffic monitoring applications in which operations at the sensor level are not computationally intensive. But increasingly, sensor network applications require data and compute intensive sensors such video cameras and microphones. In this paper, we describe the design and implementation of two such systems: a vehicle classifier based on acoustic signals and a license plate identification system using a camera. The systems are implemented in an energy-efficient manner to the extent possible using commercially available hardware, the Mica motes and the Stargate platform. Our experience in designing these systems leads us to consider an alternate more flexible, modular, low-power mote architecture that uses a combination of FPGAs, specialized embedded processing units and sensor data acquisition systems.

  6. Variations in recruitment yield, costs, speed and participant diversity across Internet platforms in a global study examining the efficacy of an HIV/AIDS and HIV testing animated and live-action video among English- or Spanish-speaking Internet or social media users

    Directory of Open Access Journals (Sweden)

    Winnie Shao

    2015-04-01

    Full Text Available For a world-wide, Internet-based study on HIV/AIDS and HIV testing knowledge, we compared the yields, speed and costs of recruitment and participant diversity across free postings on 13 Internet or social media platforms, paid advertising or postings on 3 platforms, and separate free postings and paid advertisements on Facebook. Platforms were compared by study completions (yield, time to completion, completion to enrollment ratios (CERs, and costs/completion; and by participants’ demographic characteristics, HIV testing history, and health literacy levels. Of the 482 English-speaking participants, Amazon Mechanical Turk yielded the most participants, recruited participants at the fastest rate and had the highest CER (0.78 and lowest costs/completion. Of the 335 Spanish-speaking participants, Facebook yielded the most participants and recruited participants at the fastest rate, although Amazon Mechanical Turk had the highest CER (0.72 and lowest costs/completion. Across platforms participants differed substantially according to their demographic characteristics, HIV testing history and health literacy skills. The study results highlight the need for researchers to strongly consider choice of Internet or social media platforms when conducting Internet-based research. Because of the sample specifications and cost restraints of studies, specific Internet/social media or participant selection platforms will be much more effective or appropriate than others.

  7. Drive to miniaturization: integrated optical networks on mobile platforms

    Science.gov (United States)

    Salour, Michael M.; Batayneh, Marwan; Figueroa, Luis

    2011-11-01

    With rapid growth of the Internet, bandwidth demand for data traffic is continuing to explode. In addition, emerging and future applications are becoming more and more network centric. With the proliferation of data communication platforms and data-intensive applications (e.g. cloud computing), high-bandwidth materials such as video clips dominating the Internet, and social networking tools, a networking technology is very desirable which can scale the Internet's capability (particularly its bandwidth) by two to three orders of magnitude. As the limits of Moore's law are approached, optical mesh networks based on wavelength-division multiplexing (WDM) have the ability to satisfy the large- and scalable-bandwidth requirements of our future backbone telecommunication networks. In addition, this trend is also affecting other special-purpose systems in applications such as mobile platforms, automobiles, aircraft, ships, tanks, and micro unmanned air vehicles (UAVs) which are becoming independent systems roaming the sky while sensing data, processing, making decisions, and even communicating and networking with other heterogeneous systems. Recently, WDM optical technologies have seen advances in its transmission speeds, switching technologies, routing protocols, and control systems. Such advances have made WDM optical technology an appealing choice for the design of future Internet architectures. Along these lines, scientists across the entire spectrum of the network architectures from physical layer to applications have been working on developing devices and communication protocols which can take full advantage of the rapid advances in WDM technology. Nevertheless, the focus has always been on large-scale telecommunication networks that span hundreds and even thousands of miles. Given these advances, we investigate the vision and applicability of integrating the traditionally large-scale WDM optical networks into miniaturized mobile platforms such as UAVs. We explain

  8. Designing a dynamic network based approach for asset management activities

    NARCIS (Netherlands)

    Volker, L.; Scharpff, J.; De Weerdt, M.M.; Herder, P.M.

    2012-01-01

    Transportation networks are important public infrastructures because they enable economic and social activity. Trends in contracting the maintenance of such assets have caused a shift in governance from a public body to market-like arrangements and changed the roles and responsibilities among asset

  9. Segway robotic mobility platform

    Science.gov (United States)

    Nguyen, Hoa G.; Morrell, John; Mullens, Katherine D.; Burmeister, Aaron B.; Miles, Susan; Farrington, Nathan; Thomas, Kari M.; Gage, Douglas W.

    2004-12-01

    The Segway Robotic Mobility Platform (RMP) is a new mobile robotic platform based on the self-balancing Segway Human Transporter (HT). The Segway RMP is faster, cheaper, and more agile than existing comparable platforms. It is also rugged, has a small footprint, a zero turning radius, and yet can carry a greater payload. The new geometry of the platform presents researchers with an opportunity to examine novel topics, including people-height sensing and actuation modalities. This paper describes the history and development of the platform, its characteristics, and a summary of current research projects involving the platform at various institutions across the United States.

  10. Venus Aerial Platform Study

    Science.gov (United States)

    Cutts, J. A.

    2017-11-01

    A Venus Aerial Platform Study, which was underway in early 2017, is assessing the science and technologies for exploring Venus with aerial vehicles in order to develop a Venus Aerial Platform Roadmap for the future exploration of the planet.

  11. Coupling Mechanism of the Tourism Industrial Network Based on Circular Economy

    OpenAIRE

    Han, Xinming; Zheng, Xiangjiang

    2009-01-01

    This paper summarizes the research situation of circular economy and tourism industrial network at home and abroad, introduces the concept and characteristics of tourism industrial network, and analyzes the coupling mechanism of tourism industrial network based on circular economy.

  12. Novel Supramolecular Polymer Networks Based on Melamine- and Imide-Containing Oligomers

    NARCIS (Netherlands)

    Loontjens, Ton; Put, Jos; Coussens, Betty; Palmen, Jo; Sleijpen, Ton; Plum, Bart

    2001-01-01

    Reversible, supramolecular polymer networks based on commercially available bulk chemicals, and prepared using an industrially attractive route are described. The difunctional, low molecular weight polytetramethyleneoxide is functionalized with trimellitic imide, and reversibly crosslinked with the

  13. Mobile platform security

    CERN Document Server

    Asokan, N; Dmitrienko, Alexandra

    2013-01-01

    Recently, mobile security has garnered considerable interest in both the research community and industry due to the popularity of smartphones. The current smartphone platforms are open systems that allow application development, also for malicious parties. To protect the mobile device, its user, and other mobile ecosystem stakeholders such as network operators, application execution is controlled by a platform security architecture. This book explores how such mobile platform security architectures work. We present a generic model for mobile platform security architectures: the model illustrat

  14. Costs and benefits of network based instruction at the Naval Postgraduate School

    OpenAIRE

    Sorenson, Brian K.

    1998-01-01

    Approved for public release; distribution is unlimited The Naval Postgraduate School's (NPS) Strategic Plan for 1998 addresses the significance of distant education in NPS's future. Network Based Instruction (NBI) utilizes new technology and the Internet to provide education at a distance. This thesis provides a framework which identifies the costs and benefits associated with converting, administering and maintaining a traditionally taught course using Network Based Instruction. Conversio...

  15. ITS Platform North Denmark

    DEFF Research Database (Denmark)

    Lahrmann, Harry; Agerholm, Niels; Juhl, Jens

    2012-01-01

    This paper presents the project entitled “ITS Platform North Denmark” which is used as a test platform for Intelligent Transportation System (ITS) solutions. The platform consists of a newly developed GNSS/GPRS On Board Unit (OBU) to be installed in 500 cars, a backend server and a specially...

  16. Continuous Platform Development

    DEFF Research Database (Denmark)

    Nielsen, Ole Fiil

    low risks and investments but also with relatively fuzzy results. When looking for new platform projects, it is important to make sure that the company and market is ready for the introduction of platforms, and to make sure that people from marketing and sales, product development, and downstream...... departments are all consulted. Platform ideas originate primarily from experienced workers, managers, or platform thinkers. Platform projects are presented regularly for future users and decision makers in structured presentations consisting of both quantitative estimates of costs and benefits and qualitative...

  17. Patient Understanding of the Risks and Benefits of Biologic Therapies in Inflammatory Bowel Disease: Insights from a Large-scale Analysis of Social Media Platforms.

    Science.gov (United States)

    Martinez, Bibiana; Dailey, Francis; Almario, Christopher V; Keller, Michelle S; Desai, Mansee; Dupuy, Taylor; Mosadeghi, Sasan; Whitman, Cynthia; Lasch, Karen; Ursos, Lyann; Spiegel, Brennan M R

    2017-07-01

    Few studies have examined inflammatory bowel disease (IBD) patients' knowledge and understanding of biologic therapies outside traditional surveys. Here, we used social media data to examine IBD patients' understanding of the risks and benefits associated with biologic therapies and how this affects decision-making. We collected posts from Twitter and e-forum discussions from >3000 social media sites posted between June 27, 2012 and June 27, 2015. Guided by natural language processing, we identified posts with specific IBD keywords that discussed the risks and/or benefits of biologics. We then manually coded the resulting posts and performed qualitative analysis using ATLAS.ti software. A hierarchical coding structure was developed based on the keyword list and relevant themes were identified through manual coding. We examined 1598 IBD-related posts, of which 452 (28.3%) centered on the risks and/or benefits of biologics. There were 5 main themes: negative experiences and concerns with biologics (n = 247; 54.6%), decision-making surrounding biologic use (n = 169; 37.4%), positive experiences with biologics (n = 168; 37.2%), information seeking from peers (n = 125; 27.7%), and cost (n = 38; 8.4%). Posts describing negative experiences primarily commented on side effects from biologics, concerns about potential side effects and increased cancer risk, and pregnancy safety concerns. Posts on decision-making focused on nonbiologic treatment options, hesitation to initiate biologics, and concerns about changing or discontinuing regimens. Social media reveals a wide range of themes governing patients' experience and choice with IBD biologics. The complexity of navigating their risk-benefit profiles suggests merit in creating online tailored decision tools to support IBD patients' decision-making with biologic therapies.

  18. Bibliometrics for Social Validation

    OpenAIRE

    Hicks, Daniel J.

    2016-01-01

    This paper introduces a bibliometric, citation network-based method for assessing the social validation of novel research, and applies this method to the development of high-throughput toxicology research at the US Environmental Protection Agency. Social validation refers to the acceptance of novel research methods by a relevant scientific community; it is formally independent of the technical validation of methods, and is frequently studied in history, philosophy, and social studies of scien...

  19. Cross-Platform Technologies

    Directory of Open Access Journals (Sweden)

    Maria Cristina ENACHE

    2017-04-01

    Full Text Available Cross-platform - a concept becoming increasingly used in recent years especially in the development of mobile apps, but this consistently over time and in the development of conventional desktop applications. The notion of cross-platform software (multi-platform or platform-independent refers to a software application that can run on more than one operating system or computing architecture. Thus, a cross-platform application can operate independent of software or hardware platform on which it is execute. As a generic definition presents a wide range of meanings for purposes of this paper we individualize this definition as follows: we will reduce the horizon of meaning and we use functionally following definition: a cross-platform application is a software application that can run on more than one operating system (desktop or mobile identical or in a similar way.

  20. Product Platform Modeling

    DEFF Research Database (Denmark)

    Pedersen, Rasmus

    as important assets in a product platform, yet activities, working patterns, processes and knowledge can also be reused in a platform approach. Encapsulation is seen as a process in which the different elements of a platform are grouped into well defined and self-contained units which are decoupled from each......This PhD thesis has the title Product Platform Modelling. The thesis is about product platforms and visual product platform modelling. Product platforms have gained an increasing attention in industry and academia in the past decade. The reasons are many, yet the increasing globalisation...... and the change in the global economy seem to be major factors. Manufacturing companies have experienced an intensifying competition and many companies face increasing demands for reductions in costs and lead times in development and production. At the same time many customers have raised their demands...

  1. Concurrency Control in the Problem of Automatic Substitution of the Dataflow Network Agent on Smart-M3 Platform and in the Internet of Things

    Directory of Open Access Journals (Sweden)

    S. I. Balandin

    2012-01-01

    Full Text Available The paper describes implementation of dataflow networks based on Smart-M3 platform for use cases related to the Internet of Things. The mechanism for automatic substitution of computational agents created on top of Smart-M3 platform is described. The paper reviews concurrency issues of the developed solution regarding Smart-M3 platform, as well as in the broader context of the Internet of Things.

  2. Taxi pooling in New York City: a network-based approach to social sharing problems

    CERN Document Server

    Santi, Paolo; Szell, Michael; Sobolevsky, Stanislav; Strogatz, Steven; Ratti, Carlo

    2013-01-01

    Taxi services are a vital part of urban transportation, and a major contributor to traffic congestion and air pollution causing substantial adverse effects on human health. Sharing taxi trips is a possible way of reducing the negative impact of taxi services on cities, but this comes at the expense of passenger discomfort in terms of a longer travel time. Due to computational challenges, taxi sharing has traditionally been approached on small scales, such as within airport perimeters, or with dynamical ad-hoc heuristics. However, a mathematical framework for the systematic understanding of the tradeoff between collective benefits of sharing and individual passenger discomfort is lacking. Here we introduce the notion of shareability network which allows us to model the collective benefits of sharing as a function of passenger inconvenience, and to efficiently compute optimal sharing strategies on massive datasets. We apply this framework to a dataset of millions of taxi trips taken in New York City, showing th...

  3. Bio-Inspired Dynamic Radio Access in Cognitive Networks based on Social Foraging Swarms

    OpenAIRE

    di Lorenzo, Paolo

    2012-01-01

    There is strong trend, in current research on communication and sensor networks, to study selforganizing, self-healing systems. This poses great challenges to the research on decentralized systems, but at the same offers great potentials for future developments, especially in view of the current trend towards miniaturized systems. Even if the development of self-organizing systems is probably at the beginning, biological systems offers many examples of self-organization and ...

  4. Hybrid attacks on model-based social recommender systems

    Science.gov (United States)

    Yu, Junliang; Gao, Min; Rong, Wenge; Li, Wentao; Xiong, Qingyu; Wen, Junhao

    2017-10-01

    With the growing popularity of the online social platform, the social network based approaches to recommendation emerged. However, because of the open nature of rating systems and social networks, the social recommender systems are susceptible to malicious attacks. In this paper, we present a certain novel attack, which inherits characteristics of the rating attack and the relation attack, and term it hybrid attack. Furtherly, we explore the impact of the hybrid attack on model-based social recommender systems in multiple aspects. The experimental results show that, the hybrid attack is more destructive than the rating attack in most cases. In addition, users and items with fewer ratings will be influenced more when attacked. Last but not the least, the findings suggest that spammers do not depend on the feedback links from normal users to become more powerful, the unilateral links can make the hybrid attack effective enough. Since unilateral links are much cheaper, the hybrid attack will be a great threat to model-based social recommender systems.

  5. Analysis and application of intelligence network based on FTTH

    Science.gov (United States)

    Feng, Xiancheng; Yun, Xiang

    2008-12-01

    With the continued rapid growth of Internet, new network service emerges in endless stream, especially the increase of network game, meeting TV, video on demand, etc. The bandwidth requirement increase continuously. Network technique, optical device technical development is swift and violent. FTTH supports all present and future service with enormous bandwidth, including traditional telecommunication service, traditional data service and traditional TV service, and the future digital TV and VOD. With huge bandwidth of FTTH, it wins the final solution of broadband network, becomes the final goal of development of optical access network. Firstly, it introduces the main service which FTTH supports, main analysis key technology such as FTTH system composition way, topological structure, multiplexing, optical cable and device. It focus two kinds of realization methods - PON, P2P technology. Then it proposed that the solution of FTTH can support comprehensive access (service such as broadband data, voice, video and narrowband private line). Finally, it shows the engineering application for FTTH in the district and building. It brings enormous economic benefits and social benefit.

  6. Platform switching and bone platform switching.

    Science.gov (United States)

    Carinci, Francesco; Brunelli, Giorgio; Danza, Matteo

    2009-01-01

    Bone platform switching involves an inward bone ring in the coronal part of the implant that is in continuity with the alveolar bone crest. Bone platform switching is obtained by using a dental fixture with a reverse conical neck. A retrospective study was performed to evaluate the effectiveness of conventional vs reverse conical neck implants. In the period between May 2004 and November 2007, 86 patients (55 females and 31 males; median age, 53 years) were operated and 234 implants were inserted: 40 and 194 were conventional vs reverse conical neck implants, respectively. Kaplan-Meier algorithm and Cox regression were used to detect those variables associated with the clinical outcome. No differences in survival and success rates were detected between conventional vs reverse conical neck implants alone or in combination with any of the studied variables. Although bone platform switching leads to several advantages, no statistical difference in alveolar crest resorption is detected in comparison with reverse conical neck implants. We suppose that the proximity of the implant abutment junction to the alveolar crestal bone gives no protection against the microflora contained in the micrograph. Additional studies on larger series and a combination of platform switching and bone platform switching could lead to improved clinical outcomes.

  7. Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.

    Science.gov (United States)

    Xia, Youshen; Wang, Jun

    2015-07-01

    This paper proposes a new recurrent neural network-based Kalman filter for speech enhancement, based on a noise-constrained least squares estimate. The parameters of speech signal modeled as autoregressive process are first estimated by using the proposed recurrent neural network and the speech signal is then recovered from Kalman filtering. The proposed recurrent neural network is globally asymptomatically stable to the noise-constrained estimate. Because the noise-constrained estimate has a robust performance against non-Gaussian noise, the proposed recurrent neural network-based speech enhancement algorithm can minimize the estimation error of Kalman filter parameters in non-Gaussian noise. Furthermore, having a low-dimensional model feature, the proposed neural network-based speech enhancement algorithm has a much faster speed than two existing recurrent neural networks-based speech enhancement algorithms. Simulation results show that the proposed recurrent neural network-based speech enhancement algorithm can produce a good performance with fast computation and noise reduction. Copyright © 2015 Elsevier Ltd. All rights reserved.

  8. ADMS Evaluation Platform

    Energy Technology Data Exchange (ETDEWEB)

    2018-01-23

    Deploying an ADMS or looking to optimize its value? NREL offers a low-cost, low-risk evaluation platform for assessing ADMS performance. The National Renewable Energy Laboratory (NREL) has developed a vendor-neutral advanced distribution management system (ADMS) evaluation platform and is expanding its capabilities. The platform uses actual grid-scale hardware, large-scale distribution system models, and advanced visualization to simulate realworld conditions for the most accurate ADMS evaluation and experimentation.

  9. Geotube: a network based framework for Goescience dissemination

    Science.gov (United States)

    Grieco, Giovanni; Porta, Marina; Merlini, Anna Elisabetta; Caironi, Valeria; Reggiori, Donatella

    2016-04-01

    selected for their geodiversity: Val d'Ossola and Varese District, both in the Southern Alps geological region. Then a group of five BS students from University of Milan have been involved in the production of guidebooks and geologic educational itineraries in the two areas. Some of these outputs have been tested within the SOLE (Social Open Learning Environment) Erasmus+ project. Then some of the selected itineraries have been used for excursions with students. Partial tests have so far showed the high educational potential of the Geotube project allowing the creation of a network of institution collaborating for its success in the final complete form.

  10. Social Media in IS Literature

    DEFF Research Database (Denmark)

    Dyrby, Signe

    2013-01-01

    The phenomenon of ‘digital living’ is to a high extent influenced by the introduction of new media into society. Especially, social media are affecting the digital world of today and are setting the agenda for social connectedness in private, public and commercial networks. Based in an initial...

  11. WAVELET-NETWORK BASED ON L1-NORM MINIMISATION FOR LEARNING CHAOTIC TIME SERIES

    Directory of Open Access Journals (Sweden)

    J. Rodriguez-Asomoza

    2005-12-01

    Full Text Available This paper presents a wavelet-neural network based on the L1-norm minimisation for learning chaotic time series.The proposed approach, which is based on multi-resolution analysis, uses wavelets as activation functions in thehidden layer of the wavelet-network. We propose using the L1-norm, as opposed to the L2-norm, due to the wellknownfact that the L1-norm is superior to the L2-norm criterion when the signal has heavy tailed distributions oroutliers. A comparison of the proposed approach with previous reported schemes using a time series benchmark ispresented. Simulation results show that the proposed wavelet-network based on the L1-norm performs better thanthe standard back-propagation network and the wavelet-network based on the traditional L2-norm when applied tosynthetic data.

  12. VARIATIONS IN RECRUITMENT YIELD, COSTS, SPEED AND PARTICIPANT DIVERSITY ACROSS INTERNET PLATFORMS IN A GLOBAL STUDY EXAMINING THE EFFICACY OF AN HIV/AIDS AND HIV TESTING ANIMATED AND LIVE-ACTION VIDEO AMONG ENGLISH- OR SPANISH-SPEAKING INTERNET OR SOCIAL MEDIA USERS.

    Science.gov (United States)

    Shao, Winnie; Guan, Wentao; Clark, Melissa A; Liu, Tao; Santelices, Claudia; Cortés, Dharma E; Merchant, Roland C

    For a world-wide, Internet-based study on HIV/AIDS and HIV testing knowledge, we compared the yields, speed and costs of recruitment and participant diversity across free postings on 13 Internet or social media platforms, paid advertising or postings on 3 platforms, and separate free postings and paid advertisements on Facebook. Platforms were compared by study completions (yield), time to completion, completion to enrollment ratios (CERs), and costs/ completion; and by participants' demographic characteristics, HIV testing history, and health literacy levels. Of the 482 English-speaking participants, Amazon Mechanical Turk yielded the most participants, recruited participants at the fastest rate and had the highest CER (0.78) and lowest costs / completion. Of the 335 Spanish-speaking participants, Facebook yielded the most participants and recruited participants at the fastest rate, although Amazon Mechanical Turk had the highest CER (0.72) and lowest costs/completion. Across platforms participants differed substantially according to their demographic characteristics, HIV testing history and health literay skills. The study results highlight the need for researchers to strongly consider choice of Internet or social media plaforms when conducting Internet-based research. Because of the sample specifications and cost restraints of studies, specific Internet/ social media or participant selection plaforms will be much more effective or appropriate than others.

  13. Modulation of grasping force in prosthetic hands using neural network-based predictive control.

    Science.gov (United States)

    Pasluosta, Cristian F; Chiu, Alan W L

    2015-01-01

    This chapter describes the implementation of a neural network-based predictive control system for driving a prosthetic hand. Nonlinearities associated with the electromechanical aspects of prosthetic devices present great challenges for precise control of this type of device. Model-based controllers may overcome this issue. Moreover, given the complexity of these kinds of electromechanical systems, neural network-based modeling arises as a good fit for modeling the fingers' dynamics. The results of simulations mimicking potential situations encountered during activities of daily living demonstrate the feasibility of this technique.

  14. Platform development supportedby gaming

    DEFF Research Database (Denmark)

    Mikkola, Juliana Hsuan; Hansen, Poul H. Kyvsgård

    2007-01-01

    , possibly increasing the strategic risks for the firm. This paper reports preliminary findings on platform management process at LEGO, a Danish toy company.  Specifically, we report the process of applying games combined with simulations and workshops in the platform development. We also propose a framework...

  15. Understanding social media logic

    NARCIS (Netherlands)

    van Dijck, J.; Poell, T.

    2013-01-01

    Over the past decade, social media platforms have penetrated deeply into the mech­anics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines. Far from being neutral platforms for everyone, social media have changed the conditions

  16. A simple force platform.

    Science.gov (United States)

    Bonde-Petersen, F

    1975-01-01

    The force platform consists of a sandwhich of steel, Rockwool and concrete plates about 900 X 700 mm in surface. Four steel rings were bolted to the under side of the steel plate in each corner. Each steel ring was furnished with only one strain gauge, two of which were placed on the outer- respectively on the inner side of each ring. The four strain gauges were connected to a measuring bridge. Before mounting the rings on the steel plate, the sensitivity to pressure of each ring was adjusted in such a way that they were all similar. Because of this the platform responded with a signal which was independent of where a pressure was applied within the surface of the platform. The platform showed a rectilinear response for static forces up to 500 kp with a stable zero value. In response to dynamic forces the platform showed a resononance frequency of about 50 Hz, with a damping factor of 0.15. Calibration of dynamic forces was carried out by calculation of the forces during a vertical jump compared with what would be expected from the time of flight also registered by the platform-measuring-bridge-ink-writer-set-up. The time of flight was significantly higher (11%) than exected from the time-force relations beforetake-off. This was esplained partly by the relatively low damping factor in the system, partly by the subjects not extending their knees at landing on the platform.

  17. Neural network based data-driven predictor: Case study on clinker ...

    African Journals Online (AJOL)

    Soft sensors are key solutions in process industries. Important parameters which are difficult or cost a lot to measure can be predicted using soft sensors. In this paper neural network based clinker quality predictor is developed. The predictor genuinely estimates LSF, SM, AM and C3S values. There is a time delay while ...

  18. Neural Network Based Model of an Industrial Oil-Fired Boiler System ...

    African Journals Online (AJOL)

    In this study, an oil-fired boiler system is modeled as a multivariable plant with two inputs (feed water rate and oil-fired flow rate) and two outputs (steam temperature and pressure). The plant parameters are modeled using artificial neural network, based on experimental data collected directly from the physical plant.

  19. Learning Styles and Student Attitudes toward Various Aspects of Network-based Instruction.

    Science.gov (United States)

    Federico, Pat-Anthony

    2000-01-01

    Describes a study conducted at the Naval Postgraduate School to determine student attitudes toward various aspects of network-based instruction. Discusses Internet technology; Web-based education; online learning; learning styles; and results from Kolb's Learning Style Inventory, the Hidden Figures Test, and a number of multivariate procedures.…

  20. QuakeUp: An advanced tool for a network-based Earthquake Early Warning system

    Science.gov (United States)

    Zollo, Aldo; Colombelli, Simona; Caruso, Alessandro; Elia, Luca; Brondi, Piero; Emolo, Antonio; Festa, Gaetano; Martino, Claudio; Picozzi, Matteo

    2017-04-01

    The currently developed and operational Earthquake Early warning, regional systems ground on the assumption of a point-like earthquake source model and 1-D ground motion prediction equations to estimate the earthquake impact. Here we propose a new network-based method which allows for issuing an alert based upon the real-time mapping of the Potential Damage Zone (PDZ), e.g. the epicentral area where the peak ground velocity is expected to exceed the damaging or strong shaking levels with no assumption about the earthquake rupture extent and spatial variability of ground motion. The platform includes the most advanced techniques for a refined estimation of the main source parameters (earthquake location and magnitude) and for an accurate prediction of the expected ground shaking level. The new software platform (QuakeUp) is under development at the Seismological Laboratory (RISSC-Lab) of the Department of Physics at the University of Naples Federico II, in collaboration with the academic spin-off company RISS s.r.l., recently gemmated by the research group. The system processes the 3-component, real-time ground acceleration and velocity data streams at each station. The signal quality is preliminary assessed by checking the signal-to-noise ratio both in acceleration, velocity and displacement and through dedicated filtering algorithms. For stations providing high quality data, the characteristic P-wave period (τ_c) and the P-wave displacement, velocity and acceleration amplitudes (P_d, Pv and P_a) are jointly measured on a progressively expanded P-wave time window. The evolutionary measurements of the early P-wave amplitude and characteristic period at stations around the source allow to predict the geometry and extent of PDZ, but also of the lower shaking intensity regions at larger epicentral distances. This is done by correlating the measured P-wave amplitude with the Peak Ground Velocity (PGV) and Instrumental Intensity (I_MM) and by mapping the measured and

  1. The vacuum platform

    Science.gov (United States)

    McNab, A.

    2017-10-01

    This paper describes GridPP’s Vacuum Platform for managing virtual machines (VMs), which has been used to run production workloads for WLCG and other HEP experiments. The platform provides a uniform interface between VMs and the sites they run at, whether the site is organised as an Infrastructure-as-a-Service cloud system such as OpenStack, or an Infrastructure-as-a-Client system such as Vac. The paper describes our experience in using this platform, in developing and operating VM lifecycle managers Vac and Vcycle, and in interacting with VMs provided by LHCb, ATLAS, ALICE, CMS, and the GridPP DIRAC service to run production workloads.

  2. Product Platform Replacements

    DEFF Research Database (Denmark)

    Sköld, Martin; Karlsson, Christer

    2012-01-01

    Purpose – It is argued in this article that too little is known about product platforms and how to deal with them from a manager's point of view. Specifically, little information exists regarding when old established platforms are replaced by new generations in R&D and production environments...... to challenge their existing knowledge about platform architectures. Issues on technologies, architectures, components and processes as well as on segments, applications and functions are identified. Practical implications – Practical implications are summarized and discussed in relation to a framework...

  3. Ladder attachment platform

    Science.gov (United States)

    Swygert,; Richard, W [Springfield, SC

    2012-08-28

    A ladder attachment platform is provided that includes a base for attachment to a ladder that has first and second side rails and a plurality of rungs that extend between in a lateral direction. Also included is a user platform for having a user stand thereon that is carried by the base. The user platform may be positioned with respect to the ladder so that it is not located between a first plane that extends through the first side rail and is perpendicular to the lateral direction and a second plane that extends through the second side rail and is perpendicular to the lateral direction.

  4. Tackling online inequality: Making digital platforms work for inclusive ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    As they become an essential part of the digital experience, online platforms such as Facebook, Amazon, Uber, AirBnB, and Twitter are having a direct bearing on social inclusion and opportunity in many spheres of life for people around the world. At their best, platforms can encourage information sharing, trading, and ...

  5. USA Hire Testing Platform

    Data.gov (United States)

    Office of Personnel Management — The USA Hire Testing Platform delivers tests used in hiring for positions in the Federal Government. To safeguard the integrity of the hiring processes and ensure...

  6. Product Platform Performance

    DEFF Research Database (Denmark)

    Munk, Lone

    , and the subject has gained increased attention in industry and academia the past decade. Literature on platform-based product development is often based on single case studies and it is sparsely verified if expected effects are achieved. This makes it difficult to put forward realistic expectations for companies...... experienced representatives from the different life systems phase systems of the platform products. The effects are estimated and modeled within different scenarios, taking into account financial and real option aspects. The model illustrates and supports estimation and quantification of internal platform...... effects. The model empirically verifies findings in literature and received moderate support from industry in the validation study. The research findings document that product platforms achieve significant internal effects in terms of • reduced development time (often around 25 %), • reduced number...

  7. Platform-based production development

    DEFF Research Database (Denmark)

    Bossen, Jacob; Brunoe, Thomas Ditlev; Nielsen, Kjeld

    2015-01-01

    Platforms as a means for applying modular thinking in product development is relatively well studied, but platforms in the production system has until now not been given much attention. With the emerging concept of platform-based co-development the importance of production platforms is though ind...... indisputable. This paper presents state-of-the-art literature on platform research related to production platforms and investigates gaps in the literature. The paper concludes on findings by proposing future research directions....

  8. OWLS as platform technology in OPTOS satellite

    Science.gov (United States)

    Rivas Abalo, J.; Martínez Oter, J.; Arruego Rodríguez, I.; Martín-Ortega Rico, A.; de Mingo Martín, J. R.; Jiménez Martín, J. J.; Martín Vodopivec, B.; Rodríguez Bustabad, S.; Guerrero Padrón, H.

    2017-12-01

    The aim of this work is to show the Optical Wireless Link to intraSpacecraft Communications (OWLS) technology as a platform technology for space missions, and more specifically its use within the On-Board Communication system of OPTOS satellite. OWLS technology was proposed by Instituto Nacional de Técnica Aeroespacial (INTA) at the end of the 1990s and developed along 10 years through a number of ground demonstrations, technological developments and in-orbit experiments. Its main benefits are: mass reduction, flexibility, and simplification of the Assembly, Integration and Tests phases. The final step was to go from an experimental technology to a platform one. This step was carried out in the OPTOS satellite, which makes use of optical wireless links in a distributed network based on an OLWS implementation of the CAN bus. OPTOS is the first fully wireless satellite. It is based on the triple configuration (3U) of the popular Cubesat standard, and was completely built at INTA. It was conceived to procure a fast development, low cost, and yet reliable platform to the Spanish scientific community, acting as a test bed for space born science and technology. OPTOS presents a distributed OBDH architecture in which all satellite's subsystems and payloads incorporate a small Distributed On-Board Computer (OBC) Terminal (DOT). All DOTs (7 in total) communicate between them by means of the OWLS-CAN that enables full data sharing capabilities. This collaboration allows them to perform all tasks that would normally be carried out by a centralized On-Board Computer.

  9. OWLS as platform technology in OPTOS satellite

    Science.gov (United States)

    Rivas Abalo, J.; Martínez Oter, J.; Arruego Rodríguez, I.; Martín-Ortega Rico, A.; de Mingo Martín, J. R.; Jiménez Martín, J. J.; Martín Vodopivec, B.; Rodríguez Bustabad, S.; Guerrero Padrón, H.

    2017-11-01

    The aim of this work is to show the Optical Wireless Link to intraSpacecraft Communications (OWLS) technology as a platform technology for space missions, and more specifically its use within the On-Board Communication system of OPTOS satellite. OWLS technology was proposed by Instituto Nacional de Técnica Aeroespacial (INTA) at the end of the 1990s and developed along 10 years through a number of ground demonstrations, technological developments and in-orbit experiments. Its main benefits are: mass reduction, flexibility, and simplification of the Assembly, Integration and Tests phases. The final step was to go from an experimental technology to a platform one. This step was carried out in the OPTOS satellite, which makes use of optical wireless links in a distributed network based on an OLWS implementation of the CAN bus. OPTOS is the first fully wireless satellite. It is based on the triple configuration (3U) of the popular Cubesat standard, and was completely built at INTA. It was conceived to procure a fast development, low cost, and yet reliable platform to the Spanish scientific community, acting as a test bed for space born science and technology. OPTOS presents a distributed OBDH architecture in which all satellite's subsystems and payloads incorporate a small Distributed On-Board Computer (OBC) Terminal (DOT). All DOTs (7 in total) communicate between them by means of the OWLS-CAN that enables full data sharing capabilities. This collaboration allows them to perform all tasks that would normally be carried out by a centralized On-Board Computer.

  10. ARM for Platform Application

    Science.gov (United States)

    Patte, Mathieu; Poupat, Jean-Luc; Le Meur, Patrick

    2015-09-01

    The activities described in this paper are part of the CNES R&T “Study of a Cortex-R ARM based architecture” performed by Airbus DS Space System & Electronics in 2014. With the support of CNES, Airbus DS has performed the porting of a representative space application software on an ARM based demonstration platform. This paper presents the platform itself, the activities performed at software level and the first results on this evaluation study.

  11. Floating Ocean Platform

    Science.gov (United States)

    2003-08-15

    STRUCTURAL ENGINEERING-ASCE, 382-390 J. Struct. Eng.-ASCE, 1998 Bisht, RS Jain, AK, Wind and wave induced behaviour of offshore guyed tower ... PRESTRESSED CONCRETE OFFSHORE PLATFORMS, HOUILLE BLANCHE-REVUE INTERNATIONALE DE L EAU, 63-68 Houille Blanche-Rev. Int., 1995 MAURER, WC, RECENT ADVANCES... WIND LOADING OF TOWERS AND OFFSHORE PLATFORMS - DISCUSSION, JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 369-372 J. Wind Eng. Ind. Aerodyn

  12. National Community Solar Platform

    Energy Technology Data Exchange (ETDEWEB)

    Rupert, Bart [Clean Energy Collective, Louisville, CO (United States)

    2016-06-30

    This project was created to provide a National Community Solar Platform (NCSP) portal known as Community Solar Hub, that is available to any entity or individual who wants to develop community solar. This has been done by providing a comprehensive portal to make CEC’s solutions, and other proven community solar solutions, externally available for everyone to access – making the process easy through proven platforms to protect subscribers, developers and utilities. The successful completion of this project provides these tools via a web platform and integration APIs, a wide spectrum of community solar projects included in the platform, multiple groups of customers (utilities, EPCs, and advocates) using the platform to develop community solar, and open access to anyone interested in community solar. CEC’s Incubator project includes web-based informational resources, integrated systems for project information and billing systems, and engagement with customers and users by community solar experts. The combined effort externalizes much of Clean Energy Collective’s industry-leading expertise, allowing third parties to develop community solar without duplicating expensive start-up efforts. The availability of this platform creates community solar projects that are cheaper to build and cheaper to participate in, furthering the goals of DOE’s SunShot Initiative. Final SF 425 Final SF 428 Final DOE F 2050.11 Final Report Narrative

  13. Exploratory community sensing in social networks

    Science.gov (United States)

    Khrabrov, Alexy; Stocco, Gabriel; Cybenko, George

    2010-04-01

    Social networks generally provide an implementation of some kind of groups or communities which users can voluntarily join. Twitter does not have this functionality, and there is no notion of a formal group or community. We propose a method for identification of communities and assignment of semantic meaning to the discussion topics of the resulting communities. Using this analysis method and a sample of roughly a month's worth of Tweets from Twitter's "gardenhose" feed, we demonstrate the discovery of meaningful user communities on Twitter. We examine Twitter data streaming in real time and treat it as a sensor. Twitter is a social network which pioneered microblogging with the messages fitting an SMS, and a variety of clients, browsers, smart phones and PDAs are used for status updates by individuals, businesses, media outlets and even devices all over the world. Often an aggregate trend of such statuses may represent an important development in the world, which has been demonstrated with the Iran and Moldova elections and the anniversary of the Tiananmen in China. We propose using Twitter as a sensor, tracking individuals and communities of interest, and characterizing individual roles and dynamics of their communications. We developed a novel algorithm of community identification in social networks based on direct communication, as opposed to linking. We show ways to find communities of interest and then browse their neighborhoods by either similarity or diversity of individuals and groups adjacent to the one of interest. We use frequent collocations and statistically improbable phrases to summarize the focus of the community, giving a quick overview of its main topics. Our methods provide insight into the largest social sensor network in the world and constitute a platform for social sensing.

  14. Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach.

    Directory of Open Access Journals (Sweden)

    Vincent A Emanuele

    Full Text Available SELDI-TOF mass spectrometer's compact size and automated, high throughput design have been attractive to clinical researchers, and the platform has seen steady-use in biomarker studies. Despite new algorithms and preprocessing pipelines that have been developed to address reproducibility issues, visual inspection of the results of SELDI spectra preprocessing by the best algorithms still shows miscalled peaks and systematic sources of error. This suggests that there continues to be problems with SELDI preprocessing. In this work, we study the preprocessing of SELDI in detail and introduce improvements. While many algorithms, including the vendor supplied software, can identify peak clusters of specific mass (or m/z in groups of spectra with high specificity and low false discover rate (FDR, the algorithms tend to underperform estimating the exact prevalence and intensity of peaks in those clusters. Thus group differences that at first appear very strong are shown, after careful and laborious hand inspection of the spectra, to be less than significant. Here we introduce a wavelet/neural network based algorithm which mimics what a team of expert, human users would call for peaks in each of several hundred spectra in a typical SELDI clinical study. The wavelet denoising part of the algorithm optimally smoothes the signal in each spectrum according to an improved suite of signal processing algorithms previously reported (the LibSELDI toolbox under development. The neural network part of the algorithm combines those results with the raw signal and a training dataset of expertly called peaks, to call peaks in a test set of spectra with approximately 95% accuracy. The new method was applied to data collected from a study of cervical mucus for the early detection of cervical cancer in HPV infected women. The method shows promise in addressing the ongoing SELDI reproducibility issues.

  15. Influence of social media on Ghanaian youths: Implications for ...

    African Journals Online (AJOL)

    Social media platforms have become essential tools for the promotion of social interactions among youths. Platforms such as facebook, Whatsapp, 2go, and Twitter have several benefits but misuse of the platforms could be a source of danger. This paper therefore, highlights the nature of social media, uses of social media ...

  16. City-as-a-Platform: The Rise of Participatory Innovation Platforms in Finnish Cities

    Directory of Open Access Journals (Sweden)

    Ari-Veikko Anttiroiko

    2016-09-01

    Full Text Available This article discusses the idea of city as a platform. The analysis focuses on the forms and implications of citizen involvement in publicly-supported participatory innovation platforms that facilitate urban economic development in the welfare society context. The discussion opens with a review of the smart city discourse, which in the context of economic development policy translates into cities’ need to support innovativeness by creating smart environments. Participatory innovation platform is a prime example of such an environment. The empirical section discusses three cases, those of the Finnish cities of Helsinki, Tampere, and Oulu. The analysis shows that platformization in the first half of the 2010s became a strategic focal area supported by national and EU programs. Platforms are used to support both urban revitalization and economic development, of which the former is based on representative and the latter on instrumental modes of participation. Platforms are well integrated with city governments, even though they vary greatly in terms of organizational forms and scopes. Democratic culture, welfarism, and redistributive policy provide contextual support for platformization by strengthening social inclusion, taming the growth machine, and easing the tensions between pro-growth and anti-growth coalitions.

  17. Transactional Network Platform: Applications

    Energy Technology Data Exchange (ETDEWEB)

    Katipamula, Srinivas; Lutes, Robert G.; Ngo, Hung; Underhill, Ronald M.

    2013-10-31

    In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energy’s (DOE’s) Building Technologies Office (BTO) designed, prototyped and tested a transactional network platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). Initially, in FY13, the concept demonstrated transactions between packaged rooftop air conditioners and heat pump units (RTUs) and the electric grid using applications or "agents" that reside on the platform, on the equipment, on a local building controller or in the Cloud. The transactional network project is a multi-lab effort with Oakridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory (LBNL) also contributing to the effort. PNNL coordinated the project and also was responsible for the development of the transactional network (TN) platform and three different applications associated with RTUs. This document describes two applications or "agents" in details, and also summarizes the platform. The TN platform details are described in another companion document.

  18. Neural-networks-based feedback linearization versus model predictive control of continuous alcoholic fermentation process

    Energy Technology Data Exchange (ETDEWEB)

    Mjalli, F.S.; Al-Asheh, S. [Chemical Engineering Department, Qatar University, Doha (Qatar)

    2005-10-01

    In this work advanced nonlinear neural networks based control system design algorithms are adopted to control a mechanistic model for an ethanol fermentation process. The process model equations for such systems are highly nonlinear. A neural network strategy has been implemented in this work for capturing the dynamics of the mechanistic model for the fermentation process. The neural network achieved has been validated against the mechanistic model. Two neural network based nonlinear control strategies have also been adopted using the model identified. The performance of the feedback linearization technique was compared to neural network model predictive control in terms of stability and set point tracking capabilities. Under servo conditions, the feedback linearization algorithm gave comparable tracking and stability. The feedback linearization controller achieved the control target faster than the model predictive one but with vigorous and sudden controller moves. (Abstract Copyright [2005], Wiley Periodicals, Inc.)

  19. Design of Artificial Neural Network-Based pH Estimator

    Directory of Open Access Journals (Sweden)

    Shebel A. Alsabbah

    2010-10-01

    Full Text Available Taking into consideration the cost, size and drawbacks might be found with real hardware instrument for measuring pH values such that the complications of the wiring, installing, calibrating and troubleshooting the system, would make a person look for a cheaper, accurate, and alternative choice to perform the measuring operation, Where’s hereby, a feedforward artificial neural network-based pH estimator has to be proposed. The proposed estimator has been designed with multi- layer perceptrons. One input which is a measured base stream and two outputs represent pH values at strong base and strong/weak acids for a titration process. The created data base has been obtained with consideration of temperature variation. The final numerical results ensure the effectiveness and robustness of the design neural network-based pH estimator.

  20. MEDUSA - An overset grid flow solver for network-based parallel computer systems

    Science.gov (United States)

    Smith, Merritt H.; Pallis, Jani M.

    1993-01-01

    Continuing improvement in processing speed has made it feasible to solve the Reynolds-Averaged Navier-Stokes equations for simple three-dimensional flows on advanced workstations. Combining multiple workstations into a network-based heterogeneous parallel computer allows the application of programming principles learned on MIMD (Multiple Instruction Multiple Data) distributed memory parallel computers to the solution of larger problems. An overset-grid flow solution code has been developed which uses a cluster of workstations as a network-based parallel computer. Inter-process communication is provided by the Parallel Virtual Machine (PVM) software. Solution speed equivalent to one-third of a Cray-YMP processor has been achieved from a cluster of nine commonly used engineering workstation processors. Load imbalance and communication overhead are the principal impediments to parallel efficiency in this application.

  1. Radial Basis Function Neural Network-based PID model for functional electrical stimulation system control.

    Science.gov (United States)

    Cheng, Longlong; Zhang, Guangju; Wan, Baikun; Hao, Linlin; Qi, Hongzhi; Ming, Dong

    2009-01-01

    Functional electrical stimulation (FES) has been widely used in the area of neural engineering. It utilizes electrical current to activate nerves innervating extremities affected by paralysis. An effective combination of a traditional PID controller and a neural network, being capable of nonlinear expression and adaptive learning property, supply a more reliable approach to construct FES controller that help the paraplegia complete the action they want. A FES system tuned by Radial Basis Function (RBF) Neural Network-based Proportional-Integral-Derivative (PID) model was designed to control the knee joint according to the desired trajectory through stimulation of lower limbs muscles in this paper. Experiment result shows that the FES system with RBF Neural Network-based PID model get a better performance when tracking the preset trajectory of knee angle comparing with the system adjusted by Ziegler- Nichols tuning PID model.

  2. An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application

    Directory of Open Access Journals (Sweden)

    Peilin Zhang

    2015-01-01

    Full Text Available We present an algorithm of quantum restricted Boltzmann machine network based on quantum gates. The algorithm is used to initialize the procedure that adjusts the qubit and weights. After adjusting, the network forms an unsupervised generative model that gives better classification performance than other discriminative models. In addition, we show how the algorithm can be constructed with quantum circuit for quantum computer.

  3. Medium Access Control for Wireless Sensor Networks based on Impulse Radio Ultra Wideband

    OpenAIRE

    Berthe, Abdoulaye; Lecointre, Aubin; Dragomirescu, Daniela; Plana, Robert

    2010-01-01

    This paper describes a detailed performance evaluation of distributed Medium Access Control (MAC) protocols for Wireless Sensor Networks based on Impulse Radio Ultra Wideband (IR-UWB) Physical layer (PHY). Two main classes of Medium Access Control protocol have been considered: Slotted and UnSlotted with reliability. The reliability is based on Automatic Repeat ReQuest (ARQ). The performance evaluation is performed using a complete Wireless Sensor Networks (WSN) simulator built on the Global ...

  4. Network-based support vector machine for classification of microarray samples.

    Science.gov (United States)

    Zhu, Yanni; Shen, Xiaotong; Pan, Wei

    2009-01-30

    The importance of network-based approach to identifying biological markers for diagnostic classification and prognostic assessment in the context of microarray data has been increasingly recognized. To our knowledge, there have been few, if any, statistical tools that explicitly incorporate the prior information of gene networks into classifier building. The main idea of this paper is to take full advantage of the biological observation that neighboring genes in a network tend to function together in biological processes and to embed this information into a formal statistical framework. We propose a network-based support vector machine for binary classification problems by constructing a penalty term from the Finfinity-norm being applied to pairwise gene neighbors with the hope to improve predictive performance and gene selection. Simulation studies in both low- and high-dimensional data settings as well as two real microarray applications indicate that the proposed method is able to identify more clinically relevant genes while maintaining a sparse model with either similar or higher prediction accuracy compared with the standard and the L1 penalized support vector machines. The proposed network-based support vector machine has the potential to be a practically useful classification tool for microarrays and other high-dimensional data.

  5. Windows Azure Platform

    CERN Document Server

    Redkar, Tejaswi

    2010-01-01

    The Azure Services Platform is a brand-new cloud-computing technology from Microsoft. It is composed of four core components-Windows Azure, .NET Services, SQL Services, and Live Services-each with a unique role in the functioning of your cloud service. It is the goal of this book to show you how to use these components, both separately and together, to build flawless cloud services. At its heart Windows Azure Platform is a down-to-earth, code-centric book. This book aims to show you precisely how the components are employed and to demonstrate the techniques and best practices you need to know

  6. Planetary Web Resource Platform

    Science.gov (United States)

    Xing, Z.

    2016-12-01

    In this presentation, we would like to discuss our recent work ona web-based data platform, that can simplify the use of planetarymission products and unify the operation of key applications.This platform is extensible and flexible. Products and applicationscan be added to or removed from it in a distributed fashion.It is built on top of known and proven information technologiesfor data exposure and discovery. Live examples of the end-to-endweb services and in-browser clients for current planetary missionswill be demonstrated.

  7. Wireless sensor platform

    Energy Technology Data Exchange (ETDEWEB)

    Joshi, Pooran C.; Killough, Stephen M.; Kuruganti, Phani Teja

    2017-08-08

    A wireless sensor platform and methods of manufacture are provided. The platform involves providing a plurality of wireless sensors, where each of the sensors is fabricated on flexible substrates using printing techniques and low temperature curing. Each of the sensors can include planar sensor elements and planar antennas defined using the printing and curing. Further, each of the sensors can include a communications system configured to encode the data from the sensors into a spread spectrum code sequence that is transmitted to a central computer(s) for use in monitoring an area associated with the sensors.

  8. Windows Azure Platform

    CERN Document Server

    Redkar, Tejaswi

    2011-01-01

    The Windows Azure Platform has rapidly established itself as one of the most sophisticated cloud computing platforms available. With Microsoft working to continually update their product and keep it at the cutting edge, the future looks bright - if you have the skills to harness it. In particular, new features such as remote desktop access, dynamic content caching and secure content delivery using SSL make the latest version of Azure a more powerful solution than ever before. It's widely agreed that cloud computing has produced a paradigm shift in traditional architectural concepts by providin

  9. A next-generation social media-based relapse prevention intervention for youth depression: Qualitative data on user experience outcomes for social networking, safety, and clinical benefit

    Directory of Open Access Journals (Sweden)

    Olga Santesteban-Echarri

    2017-09-01

    Full Text Available Major depressive disorder (MDD has a high prevalence and relapse rate among young people. For many individuals depression exhibits a severe course, and it is therefore critical to invest in innovative online interventions for depression that are cost-effective, acceptable and feasible. At present, there is a scarcity of research reporting on qualitative data regarding the subjective user experience of young people using social networking-based interventions for depression. This study provides in-depth qualitative insights generated from 38 semi-structured interviews, and a follow-up focus group, with young people (15–25 years after the implementation of a moderated online social therapy intervention for depression relapse prevention (“Rebound”. Exploratory analysis identified patterns of content from interview data related to three main themes: 1 preferred content compared to perceived helpfulness of the online platform, 2 interest in social networking, and 3 protective environment. Two clear groups emerged; those who perceived the social networking component of the intervention as the most helpful component; and those who preferred to engage in therapy content, receiving individualized content suggested by moderators. The Rebound intervention was shown to be acceptable for young people with major depression. Integration of social networking features appears to enhance intervention engagement for some young people recovering from depression.

  10. Platform Performance and Challenges - using Platforms in Lego Company

    DEFF Research Database (Denmark)

    Munk, Lone; Mortensen, Niels Henrik

    2009-01-01

    This article studies the performance and challenges of using nine implemented product platforms in LEGO Company. Most of these do produce results, but do not meet their goals due to challenges in their usage in the daily product. The main challenges are that the platforms are not being used...... by the product defining users (product developers) and platform erosion. When the platforms are not used it is due to: unsuitable calculation models, lack of goals, rewards or benefits from management, unattractive tradeoffs and difficulties in understanding the platform. This indicates that platform design...

  11. Creative Platform Learning (CPL)

    DEFF Research Database (Denmark)

    Christensen, Jonna Langeland; Hansen, Søren

    Creative Platform Learning (CPL) er en pædagogisk metode, der skaber foretagsomme og innovative elever, der kan anvende deres kreativitet til at lære nyt. Ifølge den nye skolereform skal Innovation og entreprenørskab tydeliggøres i alle fag. I CPL er det en integreret del af undervisningen...

  12. Games and Platform Decisions

    DEFF Research Database (Denmark)

    Hansen, Poul H. Kyvsgård; Mikkola, Juliana Hsuan

    2007-01-01

    is the application of on-line games in order to provide training for decision makers and in order to generate overview over the implications of platform decisions. However, games have to be placed in a context with other methods and we argue that a mixture of games, workshops, and simulations can provide improved...

  13. Education Platforms for America

    Science.gov (United States)

    District Administration, 2012

    2012-01-01

    What is at stake for K12 education in next month's presidential election? Both President Barack Obama (Democratic Party) and Gov. Mitt Romney (Republican Party) say improving education will be a top priority in their administrations, but their policies and initiatives would likely be quite different. While political platforms rarely offer detailed…

  14. Postgraduate programmes as platform

    NARCIS (Netherlands)

    drs Ben Smit; Prof.Dr. Petra Ponte; dr Jacqueline van Swet

    2007-01-01

    Typical of postgraduate courses for experienced teachers is the wealth of professional experience that the studetns bring with them. Such students can examine their own practice, for which they are fully responsible. Authors from diverse backgrounds address important aspects of the platform, such as

  15. CERN Neutrino Platform Hardware

    CERN Document Server

    Nelson, Kevin

    2017-01-01

    My summer research was broadly in CERN's neutrino platform hardware efforts. This project had two main components: detector assembly and data analysis work for ICARUS. Specifically, I worked on assembly for the ProtoDUNE project and monitored the safety of ICARUS as it was transported to Fermilab by analyzing the accelerometer data from its move.

  16. The Creative Platform

    DEFF Research Database (Denmark)

    Byrge, Christian; Hansen, Søren

    whether you consider thirdgrade teaching, human-resource development, or radical new thinking in product development in a company. The Creative Platform was developed at Aalborg University through a series of research-and-development activities in collaboration with educational institutions and private...

  17. Digital Social Norm Enforcement: Online Firestorms in Social Media

    National Research Council Canada - National Science Library

    Rost, Katja; Stahel, Lea; Frey, Bruno S

    2016-01-01

    ... factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions...

  18. Mobile Platforms and Development Environments

    CERN Document Server

    Helal, Sumi; Li, Wengdong

    2012-01-01

    Mobile platform development has lately become a technological war zone with extremely dynamic and fluid movement, especially in the smart phone and tablet market space. This Synthesis lecture is a guide to the latest developments of the key mobile platforms that are shaping the mobile platform industry. The book covers the three currently dominant native platforms -- iOS, Android and Windows Phone -- along with the device-agnostic HTML5 mobile web platform. The lecture also covers location-based services (LBS) which can be considered as a platform in its own right. The lecture utilizes a sampl

  19. Network-based Parallel Retrieval Onboard Computing Environment for Sensor Systems Deployed on NASA Unmanned Aircraft Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Remote Sensing Solutions proposes to develop the Network-based Parallel Retrieval Onboard Computing Environment for Sensor Systems (nPROCESS) for deployment on...

  20. Social Entrepreneurship

    DEFF Research Database (Denmark)

    Andersen, Linda Lundgaard; Hulgård, Lars

    2016-01-01

    The most striking slogans that characterize the ‘new’ discourse of social entrepreneurship have come to Denmark from the international scene, but we can nevertheless trace a significant historical equivalent in Denmark connecting the tradition for social economy to the co-operative movement...... and to decades of welfare modernisation incorporating people’s participation through cultural, political and economic objectives. In this chapter, we first give a brief introduction to social entrepreneurship and position it in relation to social enterprise. We then demonstrate its present relevance in Denmark...... through five current platforms for social entrepreneurship, showing how these are influenced both by international trends and the roots of the Danish experimental tradition. We conclude with a discussion of how social entrepreneurship appeals to fundamentally different strategies for the future of modern...

  1. Fast inline inspection by Neural Network Based Filtered Backprojection: Application to apple inspection

    Directory of Open Access Journals (Sweden)

    Eline Janssens

    2016-11-01

    Full Text Available Speed is an important parameter of an inspection system. Inline computed tomography systems exist but are generally expensive. Moreover, their throughput is limited by the speed of the reconstruction algorithm. In this work, we propose a Neural Network-based Hilbert transform Filtered Backprojection (NN-hFBP method to reconstruct objects in an inline scanning environment in a fast and accurate way. Experiments based on apple X-ray scans show that the NN-hFBP method allows to reconstruct images with a substantially better tradeoff between image quality and reconstruction time.

  2. An Efficient Neural Network Based Modeling Method for Automotive EMC Simulation

    Science.gov (United States)

    Frank, Florian; Weigel, Robert

    2011-09-01

    This paper presents a newly developed methodology for VHDL-AMS model integration into SPICE-based EMC simulations. To this end the VHDL-AMS model, which is available in a compiled version only, is characterized under typical loading conditions, and afterwards a neural network based technique is applied to convert characteristic voltage and current data into an equivalent circuit in SPICE syntax. After the explanation of the whole method and the presentation of a newly developed switched state space dynamic neural network model, the entire analysis process is demonstrated using a typical application from automotive industry.

  3. Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

    DEFF Research Database (Denmark)

    Weber, Felix; Bhowmik, Subrata; Høgsberg, Jan Becker

    2014-01-01

    This paper validates numerically and experimentally a new neural network-based real-time force tracking scheme for magnetorheological (MR) dampers on a five-storey shear frame with MR damper. The inverse model is trained with absolute values of measured velocity and force because the targeted...... current is a positive quantity. The validation shows accurate results except of small current spikes when the desired force is in the vicinity of the residual MR damper force. In the closed-loop, higher frequency components in the current are triggered by the transition of the actual MR damper force from...

  4. Neural substrates of motor and cognitive dysfunctions in SCA2 patients: A network based statistics analysis

    Directory of Open Access Journals (Sweden)

    G. Olivito

    2017-01-01

    In the present study, the network-based statistics (NBS approach was used to assess differences in functional connectivity between specific cerebellar and cerebral “nodes” in SCA2 patients. Altered inter-nodal connectivity was found between more posterior regions in the cerebellum and regions in the cerebral cortex clearly related to cognition and emotion. Furthermore, more anterior cerebellar lobules showed altered inter-nodal connectivity with motor and somatosensory cerebral regions. The present data suggest that in SCA2 a cerebellar dysfunction affects long-distance cerebral regions and that the clinical symptoms may be specifically related with connectivity changes between motor and non-motor cerebello-cortical nodes.

  5. Network-Based Coordination of Civil-Service Training: Lessons from the Case of Estonia

    Directory of Open Access Journals (Sweden)

    Metsma Merilin

    2017-06-01

    Full Text Available The focus of this article is on the coordination of civil-service training in a decentralized civil-service system. The Estonian case is studied. The article investigates network-based coordination, analyzes the power sources of the central coordinator and discusses the opportunities and limitations of creating coherence through network-type cooperation. The article concludes that the key power sources for the central coordinator are financial, human and technical resources paired with knowledge, leadership and commitment. The case study shows that, in a decentralized civil service system, a common understanding on training and development can be fostered by intense collaboration through networks.

  6. A novel wavelet neural network based pathological stage detection technique for an oral precancerous condition

    Science.gov (United States)

    Paul, R R; Mukherjee, A; Dutta, P K; Banerjee, S; Pal, M; Chatterjee, J; Chaudhuri, K; Mukkerjee, K

    2005-01-01

    Aim: To describe a novel neural network based oral precancer (oral submucous fibrosis; OSF) stage detection method. Method: The wavelet coefficients of transmission electron microscopy images of collagen fibres from normal oral submucosa and OSF tissues were used to choose the feature vector which, in turn, was used to train the artificial neural network. Results: The trained network was able to classify normal and oral precancer stages (less advanced and advanced) after obtaining the image as an input. Conclusions: The results obtained from this proposed technique were promising and suggest that with further optimisation this method could be used to detect and stage OSF, and could be adapted for other conditions. PMID:16126873

  7. Adaptive Critic Neural Network-Based Terminal Area Energy Management and Approach and Landing Guidance

    Science.gov (United States)

    Grantham, Katie

    2003-01-01

    Reusable Launch Vehicles (RLVs) have different mission requirements than the Space Shuttle, which is used for benchmark guidance design. Therefore, alternative Terminal Area Energy Management (TAEM) and Approach and Landing (A/L) Guidance schemes can be examined in the interest of cost reduction. A neural network based solution for a finite horizon trajectory optimization problem is presented in this paper. In this approach the optimal trajectory of the vehicle is produced by adaptive critic based neural networks, which were trained off-line to maintain a gradual glideslope.

  8. Common tester platform concept.

    Energy Technology Data Exchange (ETDEWEB)

    Hurst, Michael James

    2008-05-01

    This report summarizes the results of a case study on the doctrine of a common tester platform, a concept of a standardized platform that can be applicable across the broad spectrum of testing requirements throughout the various stages of a weapons program, as well as across the various weapons programs. The common tester concept strives to define an affordable, next-generation design that will meet testing requirements with the flexibility to grow and expand; supporting the initial development stages of a weapons program through to the final production and surveillance stages. This report discusses a concept investing key leveraging technologies and operational concepts combined with prototype tester-development experiences and practical lessons learned gleaned from past weapons programs.

  9. Available: motorised platform

    CERN Multimedia

    The COMPASS collaboration

    2014-01-01

    The COMPASS collaboration would like to offer to a new owner the following useful and fully operational piece of equipment, which is due to be replaced with better adapted equipment.   Please contact Erwin Bielert (erwin.bielert@cern.ch or 160539) for further information.  Motorized platform (FOR FREE):   Fabricated by ACL (Alfredo Cardoso & Cia Ltd) in Portugal. The model number is MeXs 5-­‐30.  Specifications: 5 m wide, 1 m deep, adjustable height (1.5 m if folded). Maximum working floor height: 4 m. conforms to CERN regulations, number LV158. Type LD500, capacity 500 kg and weight 2000 kg.  If no interested party is found before December 2014, the platform will be thrown away.

  10. Social networks

    CERN Document Server

    Etaner-Uyar, A Sima

    2014-01-01

    The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many

  11. Cloud Robotics Platforms

    Directory of Open Access Journals (Sweden)

    Busra Koken

    2015-01-01

    Full Text Available Cloud robotics is a rapidly evolving field that allows robots to offload computation-intensive and storage-intensive jobs into the cloud. Robots are limited in terms of computational capacity, memory and storage. Cloud provides unlimited computation power, memory, storage and especially collaboration opportunity. Cloud-enabled robots are divided into two categories as standalone and networked robots. This article surveys cloud robotic platforms, standalone and networked robotic works such as grasping, simultaneous localization and mapping (SLAM and monitoring.

  12. HPC - Platforms Penta Chart

    Energy Technology Data Exchange (ETDEWEB)

    Trujillo, Angelina Michelle [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-10-08

    Strategy, Planning, Acquiring- very large scale computing platforms come and go and planning for immensely scalable machines often precedes actual procurement by 3 years. Procurement can be another year or more. Integration- After Acquisition, machines must be integrated into the computing environments at LANL. Connection to scalable storage via large scale storage networking, assuring correct and secure operations. Management and Utilization – Ongoing operations, maintenance, and trouble shooting of the hardware and systems software at massive scale is required.

  13. "Platform switching": serendipity.

    Science.gov (United States)

    Kalavathy, N; Sridevi, J; Gehlot, Roshni; Kumar, Santosh

    2014-01-01

    Implant dentistry is the latest developing field in terms of clinical techniques, research, material science and oral rehabilitation. Extensive work is being done to improve the designing of implants in order to achieve better esthetics and function. The main drawback with respect to implant restoration is achieving good osseointegration along with satisfactory stress distribution, which in turn will improve the prognosis of implant prosthesis by reducing the crestal bone loss. Many concepts have been developed with reference to surface coating of implants, surgical techniques for implant placement, immediate and delayed loading, platform switching concept, etc. This article has made an attempt to review the concept of platform switching was in fact revealed accidentally due to the nonavailability of the abutment appropriate to the size of the implant placed. A few aspect of platform switching, an upcoming idea to reduce crestal bone loss have been covered. The various methods used for locating and preparing the data were done through textbooks, Google search and related articles.

  14. "Platform switching": Serendipity

    Directory of Open Access Journals (Sweden)

    N Kalavathy

    2014-01-01

    Full Text Available Implant dentistry is the latest developing field in terms of clinical techniques, research, material science and oral rehabilitation. Extensive work is being done to improve the designing of implants in order to achieve better esthetics and function. The main drawback with respect to implant restoration is achieving good osseointegration along with satisfactory stress distribution, which in turn will improve the prognosis of implant prosthesis by reducing the crestal bone loss. Many concepts have been developed with reference to surface coating of implants, surgical techniques for implant placement, immediate and delayed loading, platform switching concept, etc. This article has made an attempt to review the concept of platform switching was in fact revealed accidentally due to the nonavailability of the abutment appropriate to the size of the implant placed. A few aspect of platform switching, an upcoming idea to reduce crestal bone loss have been covered. The various methods used for locating and preparing the data were done through textbooks, Google search and related articles.

  15. Platform computing powers enterprise grid

    CERN Multimedia

    2002-01-01

    Platform Computing, today announced that the Stanford Linear Accelerator Center is using Platform LSF 5, to carry out groundbreaking research into the origins of the universe. Platform LSF 5 will deliver the mammoth computing power that SLAC's Linear Accelerator needs to process the data associated with intense high-energy physics research (1 page).

  16. Product Platform Screening at LEGO

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Steen Jensen, Thomas; Nielsen, Ole Fiil

    2012-01-01

    Product platforms offer great benefits to companies developing new products in highly competitive markets. Literature describes how a single platform can be designed from a technical point of view, but rarely mentions how the process begins. How do companies identify possible platform candidates...

  17. Contemporary Internet of Things platforms

    OpenAIRE

    Mineraud, Julien; Mazhelis, Oleksiy; Su, Xiang; Tarkoma, Sasu

    2015-01-01

    This document regroups a representative, but non-exhaustive, list of contemporary IoT platforms. The platforms are ordered alphabetically. The aim of this document is to provide the a quick review of current IoT platforms, as well as relevant information.

  18. A Network Based Approach to Data Access, Visualization, Interactive Analysis and Distribution

    Science.gov (United States)

    Elson, L.; Allen, M.; Goldsmith, J.; Orton, M.; Weibel, W.

    1999-01-01

    In today's heterogeneous computing environment of proliferating platforms and operating systems, the Internet, through the World Wide Web (WWW), is becoming the preferred interface to much of the world's archive of digital data.

  19. Understanding social media logic

    National Research Council Canada - National Science Library

    van Dijck, J; Poell, T

    2013-01-01

    Over the past decade, social media platforms have penetrated deeply into the mech­anics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines...

  20. Is Congenital Amusia a Disconnection Syndrome? A Study Combining Tract- and Network-Based Analysis.

    Science.gov (United States)

    Wang, Jieqiong; Zhang, Caicai; Wan, Shibiao; Peng, Gang

    2017-01-01

    Previous studies on congenital amusia mainly focused on the impaired fronto-temporal pathway. It is possible that neural pathways of amusia patients on a larger scale are affected. In this study, we investigated changes in structural connections by applying both tract-based and network-based analysis to DTI data of 12 subjects with congenital amusia and 20 demographic-matched normal controls. TBSS (tract-based spatial statistics) was used to detect microstructural changes. The results showed that amusics had higher diffusivity indices in the corpus callosum, the right inferior/superior longitudinal fasciculus, and the right inferior frontal-occipital fasciculus (IFOF). The axial diffusivity values of the right IFOF were negatively correlated with musical scores in the amusia group. Network-based analysis showed that the efficiency of the brain network was reduced in amusics. The impairments of WM tracts were also found to be correlated with reduced network efficiency in amusics. This suggests that impaired WM tracts may lead to the reduced network efficiency seen in amusics. Our findings suggest that congenital amusia is a disconnection syndrome.

  1. Is Congenital Amusia a Disconnection Syndrome? A Study Combining Tract- and Network-Based Analysis

    Directory of Open Access Journals (Sweden)

    Jieqiong Wang

    2017-09-01

    Full Text Available Previous studies on congenital amusia mainly focused on the impaired fronto-temporal pathway. It is possible that neural pathways of amusia patients on a larger scale are affected. In this study, we investigated changes in structural connections by applying both tract-based and network-based analysis to DTI data of 12 subjects with congenital amusia and 20 demographic-matched normal controls. TBSS (tract-based spatial statistics was used to detect microstructural changes. The results showed that amusics had higher diffusivity indices in the corpus callosum, the right inferior/superior longitudinal fasciculus, and the right inferior frontal-occipital fasciculus (IFOF. The axial diffusivity values of the right IFOF were negatively correlated with musical scores in the amusia group. Network-based analysis showed that the efficiency of the brain network was reduced in amusics. The impairments of WM tracts were also found to be correlated with reduced network efficiency in amusics. This suggests that impaired WM tracts may lead to the reduced network efficiency seen in amusics. Our findings suggest that congenital amusia is a disconnection syndrome.

  2. Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues.

    Science.gov (United States)

    Chen, Lei; Pan, Hongying; Zhang, Yu-Hang; Feng, Kaiyan; Kong, XiangYin; Huang, Tao; Cai, Yu-Dong

    2017-10-02

    Bone and dental diseases are serious public health problems. Most current clinical treatments for these diseases can produce side effects. Regeneration is a promising therapy for bone and dental diseases, yielding natural tissue recovery with few side effects. Because soft tissues inside the bone and dentin are densely populated with nerves and vessels, the study of bone and dentin regeneration should also consider the co-regeneration of nerves and vessels. In this study, a network-based method to identify co-regeneration genes for bone, dentin, nerve and vessel was constructed based on an extensive network of protein-protein interactions. Three procedures were applied in the network-based method. The first procedure, searching, sought the shortest paths connecting regeneration genes of one tissue type with regeneration genes of other tissues, thereby extracting possible co-regeneration genes. The second procedure, testing, employed a permutation test to evaluate whether possible genes were false discoveries; these genes were excluded by the testing procedure. The last procedure, screening, employed two rules, the betweenness ratio rule and interaction score rule, to select the most essential genes. A total of seventeen genes were inferred by the method, which were deemed to contribute to co-regeneration of at least two tissues. All these seventeen genes were extensively discussed to validate the utility of the method.

  3. Robust Analysis of Network-Based Real-Time Kinematic for GNSS-Derived Heights.

    Science.gov (United States)

    Bae, Tae-Suk; Grejner-Brzezinska, Dorota; Mader, Gerald; Dennis, Michael

    2015-10-26

    New guidelines and procedures for real-time (RT) network-based solutions are required in order to support Global Navigation Satellite System (GNSS) derived heights. Two kinds of experiments were carried out to analyze the performance of the network-based real-time kinematic (RTK) solutions. New test marks were installed in different surrounding environments, and the existing GPS benchmarks were used for analyzing the effect of different factors, such as baseline lengths, antenna types, on the final accuracy and reliability of the height estimation. The RT solutions are categorized into three groups: single-base RTK, multiple-epoch network RTK (mRTN), and single-epoch network RTK (sRTN). The RTK solution can be biased up to 9 mm depending on the surrounding environment, but there was no notable bias for a longer reference base station (about 30 km) In addition, the occupation time for the network RTK was investigated in various cases. There is no explicit bias in the solution for different durations, but smoother results were obtained for longer durations. Further investigation is needed into the effect of changing the occupation time between solutions and into the possibility of using single-epoch solutions in precise determination of heights by GNSS.

  4. Neural network-based sliding mode control for atmospheric-actuated spacecraft formation using switching strategy

    Science.gov (United States)

    Sun, Ran; Wang, Jihe; Zhang, Dexin; Shao, Xiaowei

    2018-02-01

    This paper presents an adaptive neural networks-based control method for spacecraft formation with coupled translational and rotational dynamics using only aerodynamic forces. It is assumed that each spacecraft is equipped with several large flat plates. A coupled orbit-attitude dynamic model is considered based on the specific configuration of atmospheric-based actuators. For this model, a neural network-based adaptive sliding mode controller is implemented, accounting for system uncertainties and external perturbations. To avoid invalidation of the neural networks destroying stability of the system, a switching control strategy is proposed which combines an adaptive neural networks controller dominating in its active region and an adaptive sliding mode controller outside the neural active region. An optimal process is developed to determine the control commands for the plates system. The stability of the closed-loop system is proved by a Lyapunov-based method. Comparative results through numerical simulations illustrate the effectiveness of executing attitude control while maintaining the relative motion, and higher control accuracy can be achieved by using the proposed neural-based switching control scheme than using only adaptive sliding mode controller.

  5. A comparative performance evaluation of neural network based approach for sentiment classification of online reviews

    Directory of Open Access Journals (Sweden)

    G. Vinodhini

    2016-01-01

    Full Text Available The aim of sentiment classification is to efficiently identify the emotions expressed in the form of text messages. Machine learning methods for sentiment classification have been extensively studied, due to their predominant classification performance. Recent studies suggest that ensemble based machine learning methods provide better performance in classification. Artificial neural networks (ANNs are rarely being investigated in the literature of sentiment classification. This paper compares neural network based sentiment classification methods (back propagation neural network (BPN, probabilistic neural network (PNN & homogeneous ensemble of PNN (HEN using varying levels of word granularity as features for feature level sentiment classification. They are validated using a dataset of product reviews collected from the Amazon reviews website. An empirical analysis is done to compare results of ANN based methods with two statistical individual methods. The methods are evaluated using five different quality measures and results show that the homogeneous ensemble of the neural network method provides better performance. Among the two neural network approaches used, probabilistic neural networks (PNNs outperform in classifying the sentiment of the product reviews. The integration of neural network based sentiment classification methods with principal component analysis (PCA as a feature reduction technique provides superior performance in terms of training time also.

  6. Surface and thermomechanical characterization of polyurethane networks based on poly(dimethylsiloxane and hyperbranched polyester

    Directory of Open Access Journals (Sweden)

    M. V. Pergal

    2013-10-01

    Full Text Available Two series of polyurethane (PU networks based on Boltorn® hyperbranched polyester (HBP and hydroxyethoxy propyl terminated poly(dimethylsiloxane (EO-PDMS or hydroxy propyl terminated poly(dimethylsiloxane (HPPDMS, were synthesized. The effect of the type of soft PDMS segment on the properties of PUs was investigated by Fourier transform infrared spectroscopy (FTIR, contact angle measurements, surface free energy determination, X-ray photoelectron spectroscopy (XPS, scanning electron microscopy (SEM, atomic force microscopy (AFM, dynamic mechanical thermal analysis (DMTA and differential scanning calorimetry (DSC. The surface characterization of PUs showed existence of slightly amphiphilic character and it revealed that PUs based on HP-PDMS have lower surface free energy, more hydrophobic surface and better waterproof performances than PUs based on EO-PDMS. PUs based on HPPDMS had higher crosslinking density than PUs based on EO-PDMS. DSC and DMTA results revealed that these newlysynthesized PUs exhibit the glass transition temperatures of the soft and hard segments. DMTA, SEM and AFM results confirmed existence of microphase separated morphology. The results obtained in this work indicate that PU networks based on HBP and PDMS have improved surface and thermomechanical properties.

  7. Design and evaluation of a wireless sensor network based aircraft strength testing system.

    Science.gov (United States)

    Wu, Jian; Yuan, Shenfang; Zhou, Genyuan; Ji, Sai; Wang, Zilong; Wang, Yang

    2009-01-01

    The verification of aerospace structures, including full-scale fatigue and static test programs, is essential for structure strength design and evaluation. However, the current overall ground strength testing systems employ a large number of wires for communication among sensors and data acquisition facilities. The centralized data processing makes test programs lack efficiency and intelligence. Wireless sensor network (WSN) technology might be expected to address the limitations of cable-based aeronautical ground testing systems. This paper presents a wireless sensor network based aircraft strength testing (AST) system design and its evaluation on a real aircraft specimen. In this paper, a miniature, high-precision, and shock-proof wireless sensor node is designed for multi-channel strain gauge signal conditioning and monitoring. A cluster-star network topology protocol and application layer interface are designed in detail. To verify the functionality of the designed wireless sensor network for strength testing capability, a multi-point WSN based AST system is developed for static testing of a real aircraft undercarriage. Based on the designed wireless sensor nodes, the wireless sensor network is deployed to gather, process, and transmit strain gauge signals and monitor results under different static test loads. This paper shows the efficiency of the wireless sensor network based AST system, compared to a conventional AST system.

  8. Design and Evaluation of a Wireless Sensor Network Based Aircraft Strength Testing System

    Directory of Open Access Journals (Sweden)

    Yang Wang

    2009-06-01

    Full Text Available The verification of aerospace structures, including full-scale fatigue and static test programs, is essential for structure strength design and evaluation. However, the current overall ground strength testing systems employ a large number of wires for communication among sensors and data acquisition facilities. The centralized data processing makes test programs lack efficiency and intelligence. Wireless sensor network (WSN technology might be expected to address the limitations of cable-based aeronautical ground testing systems. This paper presents a wireless sensor network based aircraft strength testing (AST system design and its evaluation on a real aircraft specimen. In this paper, a miniature, high-precision, and shock-proof wireless sensor node is designed for multi-channel strain gauge signal conditioning and monitoring. A cluster-star network topology protocol and application layer interface are designed in detail. To verify the functionality of the designed wireless sensor network for strength testing capability, a multi-point WSN based AST system is developed for static testing of a real aircraft undercarriage. Based on the designed wireless sensor nodes, the wireless sensor network is deployed to gather, process, and transmit strain gauge signals and monitor results under different static test loads. This paper shows the efficiency of the wireless sensor network based AST system, compared to a conventional AST system.

  9. A virtual reality platform for modeling cognitive development

    OpenAIRE

    Jasso, Hector; Triesch, Jochen

    2005-01-01

    We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its visual environment, and of other virtual characters that interact with the learning agent. It allows us to systematically study the role of the visual and social environment for the development of particular cognitive skills in a controlled fashion. We describe how it is currently being used for constructing an embodie...

  10. The Geohazards Exploitation Platform

    Science.gov (United States)

    Laur, Henri; Casu, Francesco; Bally, Philippe; Caumont, Hervé; Pinto, Salvatore

    2016-04-01

    The Geohazards Exploitation Platform, or Geohazards TEP (GEP), is an ESA originated R&D activity of the EO ground segment to demonstrate the benefit of new technologies for large scale processing of EO data. This encompasses on-demand processing for specific user needs, systematic processing to address common information needs of the geohazards community, and integration of newly developed processors for scientists and other expert users. The platform supports the geohazards community's objectives as defined in the context of the International Forum on Satellite EO and Geohazards organised by ESA and GEO in Santorini in 2012. The GEP is a follow on to the Supersites Exploitation Platform (SSEP) an ESA initiative to support the Geohazards Supersites & Natural Laboratories initiative (GSNL). Today the GEP allows to exploit 70+ Terabyte of ERS and ENVISAT archive and the Copernicus Sentinel-1 data available on line. The platform has already engaged 22 European early adopters in a validation activity initiated in March 2015. Since September, this validation has reached 29 single user projects. Each project is concerned with either integrating an application, running on demand processing or systematically generating a product collection using an application available in the platform. The users primarily include 15 geoscience centres and universities based in Europe: British Geological Survey (UK), University of Leeds (UK), University College London (UK), ETH University of Zurich (CH), INGV (IT), CNR-IREA and CNR-IRPI (IT), University of L'Aquila (IT), NOA (GR), Univ. Blaise Pascal & CNRS (FR), Ecole Normale Supérieure (FR), ISTERRE / University of Grenoble-Alpes (FR). In addition, there are users from Africa and North America with the University of Rabat (MA) and the University of Miami (US). Furthermore two space agencies and four private companies are involved: the German Space Research Centre DLR (DE), the European Space Agency (ESA), Altamira Information (ES

  11. RemoteLabs Platform

    OpenAIRE

    Nils Crabeel; Betina Campos Neves; Benedita Malheiro

    2012-01-01

    This paper reports on a first step towards the implementation of a framework for remote experimentation of electric machines – the RemoteLabs platform. This project was focused on the development of two main modules: the user Web-based and the electric machines interfaces. The Web application provides the user with a front-end and interacts with the back-end – the user and experiment persistent data. The electric machines interface is implemented as a distributed client server application...

  12. Measuring geographic access to health care: raster and network-based methods

    Directory of Open Access Journals (Sweden)

    Delamater Paul L

    2012-05-01

    Full Text Available Abstract Background Inequalities in geographic access to health care result from the configuration of facilities, population distribution, and the transportation infrastructure. In recent accessibility studies, the traditional distance measure (Euclidean has been replaced with more plausible measures such as travel distance or time. Both network and raster-based methods are often utilized for estimating travel time in a Geographic Information System. Therefore, exploring the differences in the underlying data models and associated methods and their impact on geographic accessibility estimates is warranted. Methods We examine the assumptions present in population-based travel time models. Conceptual and practical differences between raster and network data models are reviewed, along with methodological implications for service area estimates. Our case study investigates Limited Access Areas defined by Michigan’s Certificate of Need (CON Program. Geographic accessibility is calculated by identifying the number of people residing more than 30 minutes from an acute care hospital. Both network and raster-based methods are implemented and their results are compared. We also examine sensitivity to changes in travel speed settings and population assignment. Results In both methods, the areas identified as having limited accessibility were similar in their location, configuration, and shape. However, the number of people identified as having limited accessibility varied substantially between methods. Over all permutations, the raster-based method identified more area and people with limited accessibility. The raster-based method was more sensitive to travel speed settings, while the network-based method was more sensitive to the specific population assignment method employed in Michigan. Conclusions Differences between the underlying data models help to explain the variation in results between raster and network-based methods. Considering that the

  13. Advanced neural network-based computational schemes for robust fault diagnosis

    CERN Document Server

    Mrugalski, Marcin

    2014-01-01

    The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practica...

  14. Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment

    Directory of Open Access Journals (Sweden)

    Ahmad Khan Adnan

    2010-01-01

    Full Text Available Abstract This paper describes the validity-guided fuzzy clustering evaluation for optimal training of localized neural networks (LNNs used for reassigning time-frequency representations (TFRs. Our experiments show that the validity-guided fuzzy approach ameliorates the difficulty of choosing correct number of clusters and in conjunction with neural network-based processing technique utilizing a hybrid approach can effectively reduce the blur in the spectrograms. In the course of every partitioning problem the number of subsets must be given before the calculation, but it is rarely known apriori, in this case it must be searched also with using validity measures. Experimental results demonstrate the effectiveness of the approach.

  15. Optimization on a Network-based Parallel Computer System for Supersonic Laminar Wing Design

    Science.gov (United States)

    Garcia, Joseph A.; Cheung, Samson; Holst, Terry L. (Technical Monitor)

    1995-01-01

    A set of Computational Fluid Dynamics (CFD) routines and flow transition prediction tools are integrated into a network based parallel numerical optimization routine. Through this optimization routine, the design of a 2-D airfoil and an infinitely swept wing will be studied in order to advance the design cycle capability of supersonic laminar flow wings. The goal of advancing supersonic laminar flow wing design is achieved by wisely choosing the design variables used in the optimization routine. The design variables are represented by the theory of Fourier series and potential theory. These theories, combined with the parallel CFD flow routines and flow transition prediction tools, provide a design space for a global optimal point to be searched. Finally, the parallel optimization routine enables gradient evaluations to be performed in a fast and parallel fashion.

  16. Determination of Optimal Opening Scheme for Electromagnetic Loop Networks Based on Fuzzy Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Yang Li

    2016-01-01

    Full Text Available Studying optimization and decision for opening electromagnetic loop networks plays an important role in planning and operation of power grids. First, the basic principle of fuzzy analytic hierarchy process (FAHP is introduced, and then an improved FAHP-based scheme evaluation method is proposed for decoupling electromagnetic loop networks based on a set of indicators reflecting the performance of the candidate schemes. The proposed method combines the advantages of analytic hierarchy process (AHP and fuzzy comprehensive evaluation. On the one hand, AHP effectively combines qualitative and quantitative analysis to ensure the rationality of the evaluation model; on the other hand, the judgment matrix and qualitative indicators are expressed with trapezoidal fuzzy numbers to make decision-making more realistic. The effectiveness of the proposed method is validated by the application results on the real power system of Liaoning province of China.

  17. Heterogeneity Involved Network-based Algorithm Leads to Accurate and Personalized Recommendations

    CERN Document Server

    Qiu, Tian; Zhang, Zi-Ke; Zhong, Li-Xin; Chen, Guang

    2013-01-01

    Heterogeneity of both the source and target objects is taken into account in a network-based algorithm for the directional resource transformation between objects. Based on a biased heat conduction recommendation method (BHC) which considers the heterogeneity of the target object, we propose a heterogeneous heat conduction algorithm (HHC), by further taking the source object degree as the weight of diffusion. Tested on three real datasets, the Netflix, RYM and MovieLens, the HHC algorithm is found to present a better recommendation in both the accuracy and personalization than two excellent algorithms, i.e., the original BHC and a hybrid algorithm of heat conduction and mass diffusion (HHM), while not requiring any other accessorial information or parameter. Moreover, the HHC even elevates the recommendation accuracy on cold objects, referring to the so-called cold start problem, for effectively relieving the recommendation bias on objects with different level of popularity.

  18. Artificial neural Network-Based modeling and monitoring of photovoltaic generator

    Directory of Open Access Journals (Sweden)

    H. MEKKI

    2015-03-01

    Full Text Available In this paper, an artificial neural network based-model (ANNBM is introduced for partial shading detection losses in photovoltaic (PV panel. A Multilayer Perceptron (MLP is used to estimate the electrical outputs (current and voltage of the photovoltaic module using the external meteorological data: solar irradiation G (W/m2 and the module temperature T (°C. Firstly, a database of the BP150SX photovoltaic module operating without any defect has been used to train the considered MLP. Subsequently, in the first case of this study, the developed model is used to estimate the output current and voltage of the PV module considering the partial shading effect. Results confirm the good ability of the ANNBM to detect the partial shading effect in the photovoltaic module with logical accuracy. The proposed strategy could also be used for the online monitoring and supervision of PV modules.

  19. A robust neural network-based approach for microseismic event detection

    KAUST Repository

    Akram, Jubran

    2017-08-17

    We present an artificial neural network based approach for robust event detection from low S/N waveforms. We use a feed-forward network with a single hidden layer that is tuned on a training dataset and later applied on the entire example dataset for event detection. The input features used include the average of absolute amplitudes, variance, energy-ratio and polarization rectilinearity. These features are calculated in a moving-window of same length for the entire waveform. The output is set as a user-specified relative probability curve, which provides a robust way of distinguishing between weak and strong events. An optimal network is selected by studying the weight-based saliency and effect of number of neurons on the predicted results. Using synthetic data examples, we demonstrate that this approach is effective in detecting weaker events and reduces the number of false positives.

  20. Y-source impedance-network-based isolated boost DC/DC converter

    DEFF Research Database (Denmark)

    Siwakoti, Yam P.; Town, Graham; Loh, Poh Chiang

    2014-01-01

    A dc-dc converter with very high voltage gain is proposed in this paper for any medium-power application requiring a high voltage boost with galvanic isolation. The proposed converter topology can be realized using only two switches. With this topology a very high voltage boost can be achieved even...... with a relatively low duty cycle of the switches, and the gain obtainable is presently not matched by any existing impedance network based converter operated at the same duty ratio. The proposed converter has a Y-source impedance network to boost the voltage at the intermediate dc-link side and a push......-pull transformer for square-wave AC inversion and isolation. The voltage-doubler rectifier provides a constant dc voltage at the output stage. A theoretical analysis of the converter is presented, supported by simulation and experimental results. A 250 W down-scaled prototype was implemented in the laboratory...

  1. Spectral network based on component cells under the SOPHIA European project

    Energy Technology Data Exchange (ETDEWEB)

    Núñez, Rubén, E-mail: ruben.nunez@ies-def.upm.es; Antón, Ignacio; Askins, Steve; Sala, Gabriel [Instituto de Energía Solar - Universidad Politécnica de Madrid, Ciudad Universitaria, 28040 Madrid (Spain); Domínguez, César; Voarino, Philippe [CEA-INES, 50 avenue du Lac Léman, 73375 Le Bourget-du-Lac (France); Steiner, Marc; Siefer, Gerald [Fraunhofer ISE, Heidenhofstr. 2, 79110 Freiburg (Germany); Fucci, Rafaelle; Roca, Franco [ENEA, P.le E.Fermi 1, Località Granatello, 80055 Portici (Italy); Minuto, Alessandro; Morabito, Paolo [RSE, Via Rubattino 54, 20134 Milan (Italy)

    2015-09-28

    In the frame of the European project SOPHIA, a spectral network based on component (also called isotypes) cells has been created. Among the members of this project, several spectral sensors based on component cells and collimating tubes, so-called spectroheliometers, were installed in the last years, allowing the collection of minute-resolution spectral data useful for CPV systems characterization across Europe. The use of spectroheliometers has been proved useful to establish the necessary spectral conditions to perform power rating of CPV modules and systems. If enough data in a given period of time is collected, ideally a year, it is possible to characterize spectrally the place where measurements are taken, in the same way that hours of annual irradiation can be estimated using a pyrheliometer.

  2. Simulation and stability analysis of neural network based control scheme for switched linear systems.

    Science.gov (United States)

    Singh, H P; Sukavanam, N

    2012-01-01

    This paper proposes a new adaptive neural network based control scheme for switched linear systems with parametric uncertainty and external disturbance. A key feature of this scheme is that the prior information of the possible upper bound of the uncertainty is not required. A feedforward neural network is employed to learn this upper bound. The adaptive learning algorithm is derived from Lyapunov stability analysis so that the system response under arbitrary switching laws is guaranteed uniformly ultimately bounded. A comparative simulation study with robust controller given in [Zhang L, Lu Y, Chen Y, Mastorakis NE. Robust uniformly ultimate boundedness control for uncertain switched linear systems. Computers and Mathematics with Applications 2008; 56: 1709-14] is presented. Copyright © 2011 ISA. Published by Elsevier Ltd. All rights reserved.

  3. Neural network based semi-active control strategy for structural vibration mitigation with magnetorheological damper

    DEFF Research Database (Denmark)

    Bhowmik, Subrata

    2011-01-01

    This paper presents a neural network based semi-active control method for a rotary type magnetorheological (MR) damper. The characteristics of the MR damper are described by the classic Bouc-Wen model, and the performance of the proposed control method is evaluated in terms of a base exited shear...... frame structure. As demonstrated in the literature effective damping of flexible structures is obtained by a suitable combination of pure friction and negative damper stiffness. This damper model is rate-independent and fully described by the desired shape of the hysteresis loops or force...... mode of the structure. The neural network control is then developed to reproduce the desired force based on damper displacement and velocity as network input, and it is therefore referred to as an amplitude dependent model reference control method. An inverse model of the MR damper is needed...

  4. Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots

    Directory of Open Access Journals (Sweden)

    Altaisky Mikhail V.

    2016-01-01

    Full Text Available We present the results of the simulation of a quantum neural network based on quantum dots using numerical method of path integral calculation. In the proposed implementation of the quantum neural network using an array of single-electron quantum dots with dipole-dipole interaction, the coherence is shown to survive up to 0.1 nanosecond in time and up to the liquid nitrogen temperature of 77K.We study the quantum correlations between the quantum dots by means of calculation of the entanglement of formation in a pair of quantum dots on the GaAs based substrate with dot size of 100 ÷ 101 nanometer and interdot distance of 101 ÷ 102 nanometers order.

  5. Wireless sensor network-based greenhouse environment monitoring and automatic control system for dew condensation prevention.

    Science.gov (United States)

    Park, Dae-Heon; Park, Jang-Woo

    2011-01-01

    Dew condensation on the leaf surface of greenhouse crops can promote diseases caused by fungus and bacteria, affecting the growth of the crops. In this paper, we present a WSN (Wireless Sensor Network)-based automatic monitoring system to prevent dew condensation in a greenhouse environment. The system is composed of sensor nodes for collecting data, base nodes for processing collected data, relay nodes for driving devices for adjusting the environment inside greenhouse and an environment server for data storage and processing. Using the Barenbrug formula for calculating the dew point on the leaves, this system is realized to prevent dew condensation phenomena on the crop's surface acting as an important element for prevention of diseases infections. We also constructed a physical model resembling the typical greenhouse in order to verify the performance of our system with regard to dew condensation control.

  6. Analysis of Video Signal Transmission Through DWDM Network Based on a Quality Check Algorithm

    Directory of Open Access Journals (Sweden)

    A. Markovic

    2013-04-01

    Full Text Available This paper provides an analysis of the multiplexed video signal transmission through the Dense Wavelength Division Multiplexing (DWDM network based on a quality check algorithm, which determines where the interruption of the transmission quality starts. On the basis of this algorithm, simulations of transmission for specific values of fiber parameters ​​ are executed. The analysis of the results shows how the BER and Q-factor change depends on the length of the fiber, i.e. on the number of amplifiers, and what kind of an effect the number of multiplexed channels and the flow rate per channel have on a transmited signals. Analysis of DWDM systems is performed in the software package OptiSystem 7.0, which is designed for systems with flow rates of 2.5 Gb/s and 10 Gb/s per channel.

  7. Nitrate leaching from a potato field using adaptive network-based fuzzy inference system

    DEFF Research Database (Denmark)

    Shekofteh, Hosein; Afyuni, Majid M; Hajabbasi, Mohammad-Ali

    2013-01-01

    The conventional methods of application of nitrogen fertilizers might be responsible for the increased nitrate concentration in groundwater of areas dominated by irrigated agriculture. Appropriate water and nutrient management strategies are required to minimize groundwater pollution...... of nitrate (NO3) leaching from a potato field under a drip fertigation system. In the first part of the study, a two-dimensional solute transport model was used to simulate nitrate leaching from a sandy soil with varying emitter discharge rates and fertilizer doses. The results from the modeling were used...... to train and validate an adaptive network-based fuzzy inference system (ANFIS) in order to estimate nitrate leaching. Two performance functions, namely mean absolute percentage error (MAPE) and correlation coefficient (R), were used to evaluate the adequacy of the ANFIS. Results showed that ANFIS can...

  8. Optimization of wireless sensor networks based on chicken swarm optimization algorithm

    Science.gov (United States)

    Wang, Qingxi; Zhu, Lihua

    2017-05-01

    In order to reduce the energy consumption of wireless sensor network and improve the survival time of network, the clustering routing protocol of wireless sensor networks based on chicken swarm optimization algorithm was proposed. On the basis of LEACH agreement, it was improved and perfected that the points on the cluster and the selection of cluster head using the chicken group optimization algorithm, and update the location of chicken which fall into the local optimum by Levy flight, enhance population diversity, ensure the global search capability of the algorithm. The new protocol avoided the die of partial node of intensive using by making balanced use of the network nodes, improved the survival time of wireless sensor network. The simulation experiments proved that the protocol is better than LEACH protocol on energy consumption, also is better than that of clustering routing protocol based on particle swarm optimization algorithm.

  9. A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook

    Directory of Open Access Journals (Sweden)

    Ji Yae Shin

    2016-01-01

    Full Text Available Reliable drought forecasting is necessary to develop mitigation plans to cope with severe drought. This study developed a probabilistic scheme for drought forecasting and outlook combined with quantification of the prediction uncertainties. The Bayesian network was mainly employed as a statistical scheme for probabilistic forecasting that can represent the cause-effect relationships between the variables. The structure of the Bayesian network-based drought forecasting (BNDF model was designed using the past, current, and forecasted drought condition. In this study, the drought conditions were represented by the standardized precipitation index (SPI. The accuracy of forecasted SPIs was assessed by comparing the observed SPIs and confidence intervals (CIs, exhibiting the associated uncertainty. Then, this study suggested the drought outlook framework based on probabilistic drought forecasting results. The overall results provided sufficient agreement between the observed and forecasted drought conditions in the outlook framework.

  10. Multi-index algorithm of identifying important nodes in complex networks based on linear discriminant analysis

    Science.gov (United States)

    Hu, Fang; Liu, Yuhua

    2015-02-01

    The evaluation of node importance has great significance to complex network, so it is important to seek and protect important nodes to ensure the security and stability of the entire network. At present, most evaluation algorithms of node importance adopt the single-index methods, which are incomplete and limited, and cannot fully reflect the complex situation of network. In this paper, after synthesizing multi-index factors of node importance, including eigenvector centrality, betweenness centrality, closeness centrality, degree centrality, mutual-information, etc., the authors are proposing a new multi-index evaluation algorithm of identifying important nodes in complex networks based on linear discriminant analysis (LDA). In order to verify the validity of this algorithm, a series of simulation experiments have been done. Through comprehensive analysis, the simulation results show that the new algorithm is more rational, effective, integral and accurate.

  11. Visual evoked potential estimation by adaptive noise cancellation with neural-network-based fuzzy inference system.

    Science.gov (United States)

    Zeng, Y; Zhang, J; Yin, H; Pan, Y

    2007-01-01

    Visual evoked potentials (VEPs) are time-varying signals typically buried in relatively large background noise known as the electroencephalogram (EEG). In this paper, an adaptive noise cancellation with neural network-based fuzzy inference system (NNFIS) was used and the NNFIS was carefully designed to model the VEP signal. It is assumed that VEP responses can be modelled by NNFIS with the centres of its membership functions evenly distributed over time. The weights of NNFIS are adaptively determined by minimizing the variance of the error signal using the least mean squares (LMS) algorithm. As the NNFIS is dynamic to any change of VEP, the non-stationary characteristics of VEP can be tracked. Thus, this method should be able to track the VEP. Four sets of simulated data indicate that the proposed method is appropriate to estimate VEP. A total of 150 trials are processed to demonstrate the superior performance of the proposed method.

  12. A Predictive Neural Network-Based Cascade Control for pH Reactors

    Directory of Open Access Journals (Sweden)

    Mujahed AlDhaifallah

    2016-01-01

    Full Text Available This paper is concerned with the development of predictive neural network-based cascade control for pH reactors. The cascade structure consists of a master control loop (fuzzy proportional-integral and a slave one (predictive neural network. The master loop is chosen to be more accurate but slower than the slave one. The strong features found in cascade structure have been added to the inherent features in model predictive neural network. The neural network is used to alleviate modeling difficulties found with pH reactor and to predict its behavior. The parameters of predictive algorithm are determined using an optimization algorithm. The effectiveness and feasibility of the proposed design have been demonstrated using MatLab.

  13. Estimation of tool wear during CNC milling using neural network-based sensor fusion

    Science.gov (United States)

    Ghosh, N.; Ravi, Y. B.; Patra, A.; Mukhopadhyay, S.; Paul, S.; Mohanty, A. R.; Chattopadhyay, A. B.

    2007-01-01

    Cutting tool wear degrades the product quality in manufacturing processes. Monitoring tool wear value online is therefore needed to prevent degradation in machining quality. Unfortunately there is no direct way of measuring the tool wear online. Therefore one has to adopt an indirect method wherein the tool wear is estimated from several sensors measuring related process variables. In this work, a neural network-based sensor fusion model has been developed for tool condition monitoring (TCM). Features extracted from a number of machining zone signals, namely cutting forces, spindle vibration, spindle current, and sound pressure level have been fused to estimate the average flank wear of the main cutting edge. Novel strategies such as, signal level segmentation for temporal registration, feature space filtering, outlier removal, and estimation space filtering have been proposed. The proposed approach has been validated by both laboratory and industrial implementations.

  14. A Low Energy Algorithm of Wireless Sensor Networks Based on Fractal Dimension

    Directory of Open Access Journals (Sweden)

    Ting Dong

    2014-05-01

    Full Text Available For the energy limitation of nodes and imbalance energy consuming among nodes, this paper proposes an optimization algorithm --Low Energy Algorithm-- of wireless sensor networks based on fractal dimension algorithm for the purpose of reduction of the energy consumption. The nodes in WSN cannot be located evenly, and cannot move with the monitoring environment changed once be located. Considering the characteristics of WSN, the paper designs an optimized clustering method accompany with dimension by calculating the dimension of each cluster to determine the cluster which needs to be adjusted dynamically. If the cluster with high value of dimension, increasing more nodes in this cluster. If the cluster with low value of dimension, reducing more nodes in the cluster. The simulation results show that the LEA algorithm improves energy efficiency, prolongs the network lifetime, and balances energy consumption in the sensor network.

  15. Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer

    Directory of Open Access Journals (Sweden)

    Youtao Gao

    2017-01-01

    Full Text Available In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10 m. The perturbation can be estimated by the neural network.

  16. Spectral network based on component cells under the SOPHIA European project

    Science.gov (United States)

    Núñez, Rubén; Antón, Ignacio; Askins, Steve; Sala, Gabriel; Domínguez, César; Voarino, Philippe; Steiner, Marc; Siefer, Gerald; Fucci, Rafaelle; Roca, Franco; Minuto, Alessandro; Morabito, Paolo

    2015-09-01

    In the frame of the European project SOPHIA, a spectral network based on component (also called isotypes) cells has been created. Among the members of this project, several spectral sensors based on component cells and collimating tubes, so-called spectroheliometers, were installed in the last years, allowing the collection of minute-resolution spectral data useful for CPV systems characterization across Europe. The use of spectroheliometers has been proved useful to establish the necessary spectral conditions to perform power rating of CPV modules and systems. If enough data in a given period of time is collected, ideally a year, it is possible to characterize spectrally the place where measurements are taken, in the same way that hours of annual irradiation can be estimated using a pyrheliometer.

  17. REMOTE, a Wireless Sensor Network Based System to Monitor Rowing Performance

    Directory of Open Access Journals (Sweden)

    Jordi Llosa

    2009-09-01

    Full Text Available In this paper, we take a hard look at the performance of REMOTE, a sensor network based application that provides a detailed picture of a boat movement, individual rower performance, or his/her performance compared with other crew members. The application analyzes data gathered with a WSN strategically deployed over a boat to obtain information on the boat and oar movements. Functionalities of REMOTE are compared to those of RowX [1] outdoor instrument, a commercial wired sensor instrument designed for similar purposes. This study demonstrates that with smart geometrical configuration of the sensors, rotation and translation of the oars and boat can be obtained. Three different tests are performed: laboratory calibration allows us to become familiar with the accelerometer readings and validate the theory, ergometer tests which help us to set the acquisition parameters, and on boat tests shows the application potential of this technologies in sports.

  18. Bibliometrics for Social Validation.

    Science.gov (United States)

    Hicks, Daniel J

    2016-01-01

    This paper introduces a bibliometric, citation network-based method for assessing the social validation of novel research, and applies this method to the development of high-throughput toxicology research at the US Environmental Protection Agency. Social validation refers to the acceptance of novel research methods by a relevant scientific community; it is formally independent of the technical validation of methods, and is frequently studied in history, philosophy, and social studies of science using qualitative methods. The quantitative methods introduced here find that high-throughput toxicology methods are spread throughout a large and well-connected research community, which suggests high social validation. Further assessment of social validation involving mixed qualitative and quantitative methods are discussed in the conclusion.

  19. Bibliometrics for Social Validation.

    Directory of Open Access Journals (Sweden)

    Daniel J Hicks

    Full Text Available This paper introduces a bibliometric, citation network-based method for assessing the social validation of novel research, and applies this method to the development of high-throughput toxicology research at the US Environmental Protection Agency. Social validation refers to the acceptance of novel research methods by a relevant scientific community; it is formally independent of the technical validation of methods, and is frequently studied in history, philosophy, and social studies of science using qualitative methods. The quantitative methods introduced here find that high-throughput toxicology methods are spread throughout a large and well-connected research community, which suggests high social validation. Further assessment of social validation involving mixed qualitative and quantitative methods are discussed in the conclusion.

  20. Cross-brain neurofeedback: scientific concept and experimental platform.

    Directory of Open Access Journals (Sweden)

    Lian Duan

    Full Text Available The present study described a new type of multi-person neurofeedback with the neural synchronization between two participants as the direct regulating target, termed as "cross-brain neurofeedback." As a first step to implement this concept, an experimental platform was built on the basis of functional near-infrared spectroscopy, and was validated with a two-person neurofeedback experiment. This novel concept as well as the experimental platform established a framework for investigation of the relationship between multiple participants' cross-brain neural synchronization and their social behaviors, which could provide new insight into the neural substrate of human social interactions.

  1. Cross-brain neurofeedback: scientific concept and experimental platform.

    Science.gov (United States)

    Duan, Lian; Liu, Wei-Jie; Dai, Rui-Na; Li, Rui; Lu, Chun-Ming; Huang, Yu-Xia; Zhu, Chao-Zhe

    2013-01-01

    The present study described a new type of multi-person neurofeedback with the neural synchronization between two participants as the direct regulating target, termed as "cross-brain neurofeedback." As a first step to implement this concept, an experimental platform was built on the basis of functional near-infrared spectroscopy, and was validated with a two-person neurofeedback experiment. This novel concept as well as the experimental platform established a framework for investigation of the relationship between multiple participants' cross-brain neural synchronization and their social behaviors, which could provide new insight into the neural substrate of human social interactions.

  2. Potential parasite transmission in multi-host networks based on parasite sharing.

    Directory of Open Access Journals (Sweden)

    Shai Pilosof

    Full Text Available Epidemiological networks are commonly used to explore dynamics of parasite transmission among individuals in a population of a given host species. However, many parasites infect multiple host species, and thus multi-host networks may offer a better framework for investigating parasite dynamics. We investigated the factors that influence parasite sharing--and thus potential transmission pathways--among rodent hosts in Southeast Asia. We focused on differences between networks of a single host species and networks that involve multiple host species. In host-parasite networks, modularity (the extent to which the network is divided into subgroups of rodents that interact with similar parasites was higher in the multi-species than in the single-species networks. This suggests that phylogeny affects patterns of parasite sharing, which was confirmed in analyses showing that it predicted affiliation of individuals to modules. We then constructed "potential transmission networks" based on the host-parasite networks, in which edges depict the similarity between a pair of individuals in the parasites they share. The centrality of individuals in these networks differed between multi- and single-species networks, with species identity and individual characteristics influencing their position in the networks. Simulations further revealed that parasite dynamics differed between multi- and single-species networks. We conclude that multi-host networks based on parasite sharing can provide new insights into the potential for transmission among hosts in an ecological community. In addition, the factors that determine the nature of parasite sharing (i.e. structure of the host-parasite network may impact transmission patterns.

  3. Network-based landscape of research strengths of universities in Mainland China

    Science.gov (United States)

    Liu, Zihua; Xiao, Qin; Zhan, Qian; Gu, Changgui; Yang, Huijie

    2017-07-01

    A landscape of a complex system presents a quantitative measure of its global state. The profile of research strength in Mainland China is investigated in detail, by which we illustrate a complex network based framework to extract a landscape from detailed records. First, a measure analogous to the Jaccard similarity is proposed to calculate from the presided funds similarities between the top-ranked universities. The neighbor threshold method is employed to reconstruct the similarity network of the universities. Second, the network is divided into communities. In each community the node with the largest degree and the smallest average shortest path length is taken as the representative of the community, called central node. The node bridging each pair of communities is defined to be a boundary. The central nodes and boundaries cooperatively give us a picture of the research strength landscape. Third, the evolutionary behavior is monitored by the fission and fusion probability matrices, elements of which are the percentage of a community at present time that joins into every community at the next time, and the percentage of a community at next time that comes from every present community, respectively. The landscapes in three successive 4-year durations are identified. It was found that some types of universities, such as the medicine&pharmacy and the finance&economy, conserve in single communities in the more than ten years, respectively. The agriculture&forest universities tend to cluster into one community. Meanwhile the engineering type distributes in different communities and tends to mix with the comprehension type. This framework can be used straightforwardly to analyze temporal networks. It provides also a new network-based method for multivariate time series analysis.

  4. Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

    Science.gov (United States)

    Norman, Helmi; Nordin, Norazah; Din, Rosseni; Ally, Mohamad; Dogan, Huseyin

    2015-01-01

    Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance -- making it a ubiquitous tool for social interaction. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the…

  5. Artificial Neural Networks-Based Software for Measuring Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters.

    Science.gov (United States)

    Liu, Zhijian; Liu, Kejun; Li, Hao; Zhang, Xinyu; Jin, Guangya; Cheng, Kewei

    2015-01-01

    Measurements of heat collection rate and heat loss coefficient are crucial for the evaluation of in service water-in-glass evacuated tube solar water heaters. However, conventional measurement requires expensive detection devices and undergoes a series of complicated procedures. To simplify the measurement and reduce the cost, software based on artificial neural networks for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters was developed. Using multilayer feed-forward neural networks with back-propagation algorithm, we developed and tested our program on the basis of 915 measured samples of water-in-glass evacuated tube solar water heaters. This artificial neural networks-based software program automatically obtained accurate heat collection rate and heat loss coefficient using simply "portable test instruments" acquired parameters, including tube length, number of tubes, tube center distance, heat water mass in tank, collector area, angle between tubes and ground and final temperature. Our results show that this software (on both personal computer and Android platforms) is efficient and convenient to predict the heat collection rate and heat loss coefficient due to it slow root mean square errors in prediction. The software now can be downloaded from http://t.cn/RLPKF08.

  6. Leveraging Social Foci for Information Seeking in Social Media

    OpenAIRE

    Ranganath, Suhas; Tang, Jiliang; Hu, Xia; Sundaram, Hari; Liu, Huan

    2015-01-01

    The rise of social media provides a great opportunity for people to reach out to their social connections to satisfy their information needs. However, generic social media platforms are not explicitly designed to assist information seeking of users. In this paper, we propose a novel framework to identify the social connections of a user able to satisfy his information needs. The information need of a social media user is subjective and personal, and we investigate the utility of his social co...

  7. Web Platform Application

    Energy Technology Data Exchange (ETDEWEB)

    Paulsworth, Ashley [Sunvestment Group, Frederick, MD (United States); Kurtz, Jim [Sunvestment Group, Frederick, MD (United States); Brun de Pontet, Stephanie [Sunvestment Group, Frederick, MD (United States)

    2016-06-15

    Sunvestment Energy Group (previously called Sunvestment Group) was established to create a web application that brings together site hosts, those who will obtain the energy from the solar array, with project developers and funders, including affinity investors. Sunvestment Energy Group (SEG) uses a community-based model that engages with investors who have some affinity with the site host organization. In addition to a financial return, these investors receive non-financial value from their investments and are therefore willing to offer lower cost capital. This enables the site host to enjoy more savings from solar through these less expensive Community Power Purchase Agreements (CPPAs). The purpose of this award was to develop an online platform to bring site hosts and investors together virtually.

  8. The evolution of network-based business models illustrated through the case study of an entrepreneurship project

    DEFF Research Database (Denmark)

    Lund, Morten; Nielsen, Christian

    2014-01-01

    -based business model that generates additional value for the core business model and for both the partners and the customers. Research limitations/implications: The results should be taken with caution as they are based on the case study of a single network-based business model. Practical implications: Managers......Purpose: Existing frameworks for understanding and analyzing the value configuration and structuring of partnerships in relation such network-based business models are found to be inferior. The purpose of this paper is therefore to broaden our understanding of how business models may change over......: This paper illustrates how a network-based business model arises and evolves and how the forces of a network structure impact the development of its partner relationships. The contribution of this article is to understanding how partners positioned around a business model can be organized into a network...

  9. Power Quality Indices Estimation Platform

    Directory of Open Access Journals (Sweden)

    Eliana I. Arango-Zuluaga

    2013-11-01

    Full Text Available An interactive platform for estimating the quality indices in single phase electric power systems is presented. It meets the IEEE 1459-2010 standard recommendations. The platform was developed in order to support teaching and research activities in electric power quality. The platform estimates the power quality indices from voltage and current signals using three different algorithms based on fast Fourier transform (FFT, wavelet packet transform (WPT and least squares method. The results show that the algorithms implemented are efficient for estimating the quality indices of the power and the platform can be used according to the objectives established. 

  10. Flexible experimental FPGA based platform

    DEFF Research Database (Denmark)

    Andersen, Karsten Holm; Nymand, Morten

    2016-01-01

    This paper presents an experimental flexible Field Programmable Gate Array (FPGA) based platform for testing and verifying digital controlled dc-dc converters. The platform supports different types of control strategies, dc-dc converter topologies and switching frequencies. The controller platform...... interface supporting configuration and reading of setup parameters, controller status and the acquisition memory in a simple way. The FPGA based platform, provides an easy way within education or research to use different digital control strategies and different converter topologies controlled by an FPGA...

  11. Data portability among online platforms

    Directory of Open Access Journals (Sweden)

    Barbara Engels

    2016-06-01

    Full Text Available This paper examines the competition effects of data portability among online platforms, providing policy recommendations for the preservation of innovative, undistorted competitive markets. Based on a platform-data model, it is illustrated how users, data and the products of a platform are related. Platform markets which entail an especially high risk of market power abuse are determined. It is concluded that the right to data portability as in the EU’s General Data Protection Regulation has to be interpreted in a nuanced fashion in order to avoid adverse effects on competition and innovation.

  12. Anticipating, complete and lag synchronizations in RC phase-shift network based coupled Chua's circuits without delay.

    Science.gov (United States)

    Srinivasan, K; Senthilkumar, D V; Raja Mohamed, I; Murali, K; Lakshmanan, M; Kurths, J

    2012-06-01

    We construct a new RC phase shift network based Chua's circuit, which exhibits a period-doubling bifurcation route to chaos. Using coupled versions of such a phase-shift network based Chua's oscillators, we describe a new method for achieving complete synchronization (CS), approximate lag synchronization (LS), and approximate anticipating synchronization (AS) without delay or parameter mismatch. Employing the Pecora and Carroll approach, chaos synchronization is achieved in coupled chaotic oscillators, where the drive system variables control the response system. As a result, AS or LS or CS is demonstrated without using a variable delay line both experimentally and numerically.

  13. Getting Started: A Social Media Primer.

    Science.gov (United States)

    Ferguson, Dalya M; Kao, Lillian S

    2017-09-01

    Social media use has increased both in the general public and in the surgical profession. A variety of social media platforms have been used, with Twitter being one of the most common and interactive platforms. Common uses by surgeons and scientists for social media include dissemination of information, information exchange, education, research recruitment, community consultation for clinical trials, and hospital or surgeon ratings. As social media use increases, a new language as well as metrics has been developed to track impact and reach of research incorporating social media platforms. All surgeons should be encouraged to familiarize themselves with social media, regardless of whether or not they choose to actively engage in it.

  14. The Cybermobile: A Gateway for Public Access to Network-Based Information.

    Science.gov (United States)

    Drumm, John E.; Groom, Frank M.

    1997-01-01

    Though the bookmobile has fallen on hard times, the cybermobile, a technology platform combining personal computing, CD-ROMs, fiber network, and wireless access to the Internet, may be the next step in mobile library services. Discusses standard vehicle, computer hardware, software, wireless access, and alliances with users, vendors, and community…

  15. Social Interactions and Games

    Science.gov (United States)

    Uz, Cigdem; Cagiltay, Kursat

    2015-01-01

    Digital games have become popular due to great technological improvements in recent years. They have been increasingly transformed from co-located experiences into multi-played, socially oriented platforms (Herodotou, 2009). Multi-User Online Games provide the opportunity to create a social environment for friendships and strengthen the…

  16. Next Generation Social Networks

    DEFF Research Database (Denmark)

    Sørensen, Lene Tolstrup; Skouby, Knud Erik

    2008-01-01

    When it comes to discussing the future of electronic communication, social networking is the buzzword. The Internet has become a platform where new social networks emerge and the Internet it itself support the more traditional computer supported communication. The way users build and verifies...

  17. Neural network based load and price forecasting and confidence interval estimation in deregulated power markets

    Science.gov (United States)

    Zhang, Li

    With the deregulation of the electric power market in New England, an independent system operator (ISO) has been separated from the New England Power Pool (NEPOOL). The ISO provides a regional spot market, with bids on various electricity-related products and services submitted by utilities and independent power producers. A utility can bid on the spot market and buy or sell electricity via bilateral transactions. Good estimation of market clearing prices (MCP) will help utilities and independent power producers determine bidding and transaction strategies with low risks, and this is crucial for utilities to compete in the deregulated environment. MCP prediction, however, is difficult since bidding strategies used by participants are complicated and MCP is a non-stationary process. The main objective of this research is to provide efficient short-term load and MCP forecasting and corresponding confidence interval estimation methodologies. In this research, the complexity of load and MCP with other factors is investigated, and neural networks are used to model the complex relationship between input and output. With improved learning algorithm and on-line update features for load forecasting, a neural network based load forecaster was developed, and has been in daily industry use since summer 1998 with good performance. MCP is volatile because of the complexity of market behaviors. In practice, neural network based MCP predictors usually have a cascaded structure, as several key input factors need to be estimated first. In this research, the uncertainties involved in a cascaded neural network structure for MCP prediction are analyzed, and prediction distribution under the Bayesian framework is developed. A fast algorithm to evaluate the confidence intervals by using the memoryless Quasi-Newton method is also developed. The traditional back-propagation algorithm for neural network learning needs to be improved since MCP is a non-stationary process. The extended Kalman

  18. Utilizing platforms in industrialized construction

    DEFF Research Database (Denmark)

    Bonev, Martin; Wörösch, Michael; Hvam, Lars

    2015-01-01

    platform strategies, this researchhighlights key aspects of adapting platform-based developed theory to industrialised construction.Building projects use different layers of product, process and logistics platforms to form the right cost– value ratio for the target market application, while modelling......Purpose – The purpose of this paper is to explore the development of a platform-based projectexecution in the industrialised construction sector, with a focus on systematically balancing cost andvalue. Offering custom-tailored buildings at reasonable costs has been a growing concern...... for manyconstruction companies. A promising approach adapted by operations management and design theoryregards individual building projects as the adjustment and recombination of components and processesfrom a set of predefined platforms, while configuration systems assure feasible buildingsolutions. Design...

  19. Paper based electronics platform

    KAUST Repository

    Nassar, Joanna Mohammad

    2017-07-20

    A flexible and non-functionalized low cost paper-based electronic system platform fabricated from common paper, such as paper based sensors, and methods of producing paper based sensors, and methods of sensing using the paper based sensors are provided. A method of producing a paper based sensor can include the steps of: a) providing a conventional paper product to serve as a substrate for the sensor or as an active material for the sensor or both, the paper product not further treated or functionalized; and b) applying a sensing element to the paper substrate, the sensing element selected from the group consisting of a conductive material, the conductive material providing contacts and interconnects, sensitive material film that exhibits sensitivity to pH levels, a compressible and/or porous material disposed between a pair of opposed conductive elements, or a combination of two of more said sensing elements. The method of sensing can further include measuring, using the sensing element, a change in resistance, a change in voltage, a change in current, a change in capacitance, or a combination of any two or more thereof.

  20. Undergraduates' Use of Social Media as Information Sources

    Science.gov (United States)

    Kim, Kyung-Sun; Sin, Sei-Ching Joanna; Yoo-Lee, Eun Young

    2014-01-01

    Social media have become increasingly popular among different user groups. Although used for social purposes, some social media platforms (such as Wikipedia) have been emerging as important information sources. Focusing on undergraduate students, a survey was conducted to investigate the following: (1) which social media platforms are used as…

  1. Implementation of Network-Based Higher Education for the Chinese Deaf People under the Background of the Internet

    Science.gov (United States)

    Wang, Ai-guo

    2009-01-01

    Now there are 17.7 million deaf people in China, but only four universities can provide them with higher education, which is far from enough. The implementation of network-based higher education for the deaf under the background of the Internet is an effective mean and objective needs for China's to carry out of the special higher education. This…

  2. How network-based incubation helps start-up performance : a systematic review against the background of management theories

    NARCIS (Netherlands)

    Eveleens, Chris P.; van Rijnsoever, Frank J.; Niesten, Eva M M I

    2017-01-01

    The literature on how network-based incubation influences the performance of technology-based start-ups has recently grown considerably and provided valuable insights. However, at the same time this literature has become quite fragmented, inconsistently conceptualised, and theoretically

  3. A Process Perspective on Regulation: A Grounded Theory Study into Regulatory Practice in Newly Liberalized Network-Based Markets

    NARCIS (Netherlands)

    Ubacht, J.

    The transition from a former monopolistic towards a more competitive market in
    newly liberalized network-based markets raises regulatory issues. National Regulatory Authorities (NRA) face the challenge to deal with these issues in order to guide the transition process. Although this transition

  4. Learning in the "Platform Society": Disassembling an Educational Data Assemblage

    Science.gov (United States)

    Williamson, Ben

    2017-01-01

    Schools are increasingly involved in diverse forms of student data collection. This article provides a sociotechnical survey of a data assemblage used in education. ClassDojo is a commercial platform for tracking students' behaviour data in classrooms and a social media network for connecting teachers, students, and parents. The hybridization of…

  5. The much anticipated GrowInclusive Platform now under construction

    International Development Research Centre (IDRC) Digital Library (Canada)

    2018-01-04

    Jan 4, 2018 ... With the launch planned for April 2018, the platform will serve as a virtual and interactive space for government, business, and civil society leaders to ... encompass economic, social, environmental, and governance practices and solutions from 33 countries — with several cases having a global reach.

  6. Virtual science hub: an open source platform to enrich science teaching

    OpenAIRE

    Barra Arias, Enrique; Gordillo Méndez, Aldo; Quemada Vives, Juan

    2014-01-01

    This paper presents the Virtual Science Hub platform. It is an open source platform that combines a social network, an e-learning authoring tool, a videoconference service and a learning object repository for science teaching enrichment. These four main functionalities fit very well together. The platform was released in April 2012 and since then it has not stopped growing. Finally we present the results of the surveys conducted and the statistics gathered to validate this approach.

  7. Vicus: Exploiting local structures to improve network-based analysis of biological data.

    Science.gov (United States)

    Wang, Bo; Huang, Lin; Zhu, Yuke; Kundaje, Anshul; Batzoglou, Serafim; Goldenberg, Anna

    2017-10-01

    Biological networks entail important topological features and patterns critical to understanding interactions within complicated biological systems. Despite a great progress in understanding their structure, much more can be done to improve our inference and network analysis. Spectral methods play a key role in many network-based applications. Fundamental to spectral methods is the Laplacian, a matrix that captures the global structure of the network. Unfortunately, the Laplacian does not take into account intricacies of the network's local structure and is sensitive to noise in the network. These two properties are fundamental to biological networks and cannot be ignored. We propose an alternative matrix Vicus. The Vicus matrix captures the local neighborhood structure of the network and thus is more effective at modeling biological interactions. We demonstrate the advantages of Vicus in the context of spectral methods by extensive empirical benchmarking on tasks such as single cell dimensionality reduction, protein module discovery and ranking genes for cancer subtyping. Our experiments show that using Vicus, spectral methods result in more accurate and robust performance in all of these tasks.

  8. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

    Science.gov (United States)

    Jiang, Jing; Lu, Weiqiang; Li, Weihua; Liu, Guixia; Zhou, Weixing; Huang, Jin; Tang, Yun

    2012-01-01

    Drug-target interaction (DTI) is the basis of drug discovery and design. It is time consuming and costly to determine DTI experimentally. Hence, it is necessary to develop computational methods for the prediction of potential DTI. Based on complex network theory, three supervised inference methods were developed here to predict DTI and used for drug repositioning, namely drug-based similarity inference (DBSI), target-based similarity inference (TBSI) and network-based inference (NBI). Among them, NBI performed best on four benchmark data sets. Then a drug-target network was created with NBI based on 12,483 FDA-approved and experimental drug-target binary links, and some new DTIs were further predicted. In vitro assays confirmed that five old drugs, namely montelukast, diclofenac, simvastatin, ketoconazole, and itraconazole, showed polypharmacological features on estrogen receptors or dipeptidyl peptidase-IV with half maximal inhibitory or effective concentration ranged from 0.2 to 10 µM. Moreover, simvastatin and ketoconazole showed potent antiproliferative activities on human MDA-MB-231 breast cancer cell line in MTT assays. The results indicated that these methods could be powerful tools in prediction of DTIs and drug repositioning. PMID:22589709

  9. Understanding structure of urban traffic network based on spatial-temporal correlation analysis

    Science.gov (United States)

    Yang, Yanfang; Jia, Limin; Qin, Yong; Han, Shixiu; Dong, Honghui

    2017-08-01

    Understanding the structural characteristics of urban traffic network comprehensively can provide references for improving road utilization rate and alleviating traffic congestion. This paper focuses on the spatial-temporal correlations between different pairs of traffic series and proposes a complex network-based method of constructing the urban traffic network. In the network, the nodes represent road segments, and an edge between a pair of nodes is added depending on the result of significance test for the corresponding spatial-temporal correlation. Further, a modified PageRank algorithm, named the geographical weight-based PageRank algorithm (GWPA), is proposed to analyze the spatial distribution of important segments in the road network. Finally, experiments are conducted by using three kinds of traffic series collected from the urban road network in Beijing. Experimental results show that the urban traffic networks constructed by three traffic variables all indicate both small-world and scale-free characteristics. Compared with the results of PageRank algorithm, GWPA is proved to be valid in evaluating the importance of segments and identifying the important segments with small degree.

  10. Network-based auto-probit modeling for protein function prediction.

    Science.gov (United States)

    Jiang, Xiaoyu; Gold, David; Kolaczyk, Eric D

    2011-09-01

    Predicting the functional roles of proteins based on various genome-wide data, such as protein-protein association networks, has become a canonical problem in computational biology. Approaching this task as a binary classification problem, we develop a network-based extension of the spatial auto-probit model. In particular, we develop a hierarchical Bayesian probit-based framework for modeling binary network-indexed processes, with a latent multivariate conditional autoregressive Gaussian process. The latter allows for the easy incorporation of protein-protein association network topologies-either binary or weighted-in modeling protein functional similarity. We use this framework to predict protein functions, for functions defined as terms in the Gene Ontology (GO) database, a popular rigorous vocabulary for biological functionality. Furthermore, we show how a natural extension of this framework can be used to model and correct for the high percentage of false negative labels in training data derived from GO, a serious shortcoming endemic to biological databases of this type. Our method performance is evaluated and compared with standard algorithms on weighted yeast protein-protein association networks, extracted from a recently developed integrative database called Search Tool for the Retrieval of INteracting Genes/proteins (STRING). Results show that our basic method is competitive with these other methods, and that the extended method-incorporating the uncertainty in negative labels among the training data-can yield nontrivial improvements in predictive accuracy. © 2010, The International Biometric Society.

  11. A neural network-based exploratory learning and motor planning system for co-robots

    Directory of Open Access Journals (Sweden)

    Byron V Galbraith

    2015-07-01

    Full Text Available Collaborative robots, or co-robots, are semi-autonomous robotic agents designed to work alongside humans in shared workspaces. To be effective, co-robots require the ability to respond and adapt to dynamic scenarios encountered in natural environments. One way to achieve this is through exploratory learning, or learning by doing, an unsupervised method in which co-robots are able to build an internal model for motor planning and coordination based on real-time sensory inputs. In this paper, we present an adaptive neural network-based system for co-robot control that employs exploratory learning to achieve the coordinated motor planning needed to navigate toward, reach for, and grasp distant objects. To validate this system we used the 11-degrees-of-freedom RoPro Calliope mobile robot. Through motor babbling of its wheels and arm, the Calliope learned how to relate visual and proprioceptive information to achieve hand-eye-body coordination. By continually evaluating sensory inputs and externally provided goal directives, the Calliope was then able to autonomously select the appropriate wheel and joint velocities needed to perform its assigned task, such as following a moving target or retrieving an indicated object.

  12. A neural network-based exploratory learning and motor planning system for co-robots.

    Science.gov (United States)

    Galbraith, Byron V; Guenther, Frank H; Versace, Massimiliano

    2015-01-01

    Collaborative robots, or co-robots, are semi-autonomous robotic agents designed to work alongside humans in shared workspaces. To be effective, co-robots require the ability to respond and adapt to dynamic scenarios encountered in natural environments. One way to achieve this is through exploratory learning, or "learning by doing," an unsupervised method in which co-robots are able to build an internal model for motor planning and coordination based on real-time sensory inputs. In this paper, we present an adaptive neural network-based system for co-robot control that employs exploratory learning to achieve the coordinated motor planning needed to navigate toward, reach for, and grasp distant objects. To validate this system we used the 11-degrees-of-freedom RoPro Calliope mobile robot. Through motor babbling of its wheels and arm, the Calliope learned how to relate visual and proprioceptive information to achieve hand-eye-body coordination. By continually evaluating sensory inputs and externally provided goal directives, the Calliope was then able to autonomously select the appropriate wheel and joint velocities needed to perform its assigned task, such as following a moving target or retrieving an indicated object.

  13. Computing network-based features from physiological time series: application to sepsis detection.

    Science.gov (United States)

    Santaniello, Sabato; Granite, Stephen J; Sarma, Sridevi V; Winslow, Raimond L

    2014-01-01

    Sepsis is a systemic deleterious host response to infection. It is a major healthcare problem that affects millions of patients every year in the intensive care units (ICUs) worldwide. Despite the fact that ICU patients are heavily instrumented with physiological sensors, early sepsis detection remains challenging, perhaps because clinicians identify sepsis by using static scores derived from bed-side measurements individually, i.e., without systematically accounting for potential interactions between these signals and their dynamics. In this study, we apply network-based data analysis to take into account interactions between bed-side physiological time series (PTS) data collected in ICU patients, and we investigate features to distinguish between sepsis and non-sepsis conditions. We treated each PTS source as a node on a graph and we retrieved the graph connectivity matrix over time by tracking the correlation between each pair of sources' signals over consecutive time windows. Then, for each connectivity matrix, we computed the eigenvalue decomposition. We found that, even though raw PTS measurements may have indistinguishable distributions in non-sepsis and early sepsis states, the median /I of the eigenvalues computed from the same data is statistically different (p sepsis detection.

  14. A novel neural network-based technique for smart gas sensors operating in a dynamic environment.

    Science.gov (United States)

    Baha, Hakim; Dibi, Zohir

    2009-01-01

    Thanks to their high sensitivity and low-cost, metal oxide gas sensors (MOX) are widely used in gas detection, although they present well-known problems (lack of selectivity and environmental effects…). We present in this paper a novel neural network- based technique to remedy these problems. The idea is to create intelligent models; the first one, called corrector, can automatically linearize a sensor's response characteristics and eliminate its dependency on the environmental parameters. The corrector's responses are processed with the second intelligent model which has the role of discriminating exactly the detected gas (nature and concentration). The gas sensors used are industrial resistive kind (TGS8xx, by Figaro Engineering). The MATLAB environment is used during the design phase and optimization. The sensor models, the corrector, and the selective model were implemented and tested in the PSPICE simulator. The sensor model accurately expresses the nonlinear character of the response and the dependence on temperature and relative humidity in addition to their gas nature dependency. The corrector linearizes and compensates the sensor's responses. The method discriminates qualitatively and quantitatively between seven gases. The advantage of the method is that it uses a small representative database so we can easily implement the model in an electrical simulator. This method can be extended to other sensors.

  15. Assigning Passenger Flows on a Metro Network Based on Automatic Fare Collection Data and Timetable

    Directory of Open Access Journals (Sweden)

    Ling Hong

    2017-01-01

    Full Text Available Assigning passenger flows on a metro network plays an important role in passenger flow analysis that is the foundation of metro operation. Traditional transit assignment models are becoming increasingly complex and inefficient. These models may even not be valid in case of sudden changes in the timetable or disruptions in the metro system. We propose a methodology for assigning passenger flows on a metro network based on automatic fare collection (AFC data and realized timetable. We find that the routes connecting a given origin and destination (O-D pair are related to their observed travel times (OTTs especially their pure travel times (PTTs abstracted from AFC data combined with the realized timetable. A novel clustering algorithm is used to cluster trips between a given O-D pair based on PTTs/OTTs and complete the assignment. An initial application to categorical O-D pairs on the Shanghai metro system, which is one of the largest systems in the world, shows that the proposed methodology works well. Accompanying the initial application, an interesting approach is also provided for determining the theoretical maximum accuracy of the new assignment model.

  16. A non-planar data model for road networks based on GIS-T

    Science.gov (United States)

    Xiao, Kehui; Chen, Jianhong; Xiao, Deqin; Ye, Shengtao

    2008-10-01

    Previous data models of road networks include planar and non-planar models. In planar models, intersections of road networks are transformed into arcs, sections into nodes, and sequential pairs are used to represent arcs between nodes, which can simulate traffic direction of sections and turning limitation at intersections well, but fail to define the granularity of lane and the node height difference. Non-planar data models provide the data of node height difference, which avoid impossible turning in three-dimensional road networks, but shortages as lack of detailed information of road intersections and node height difference and the curtly defined granularity of lanes lead to the low efficiency of analysis of road networks. This paper proposes an NA+ model of road networks based on non-planar structure and combined node height difference with direction lane to describe non-planar structure of road networks. Node height difference is denoted as Arabic numerals, the granularity of lane is specified as direction lane. In GIS-T database, the intersection table and the direction lane table are used to describe node height difference and direction respectively. The model consists with the circumstance of road networks; it is proved to be applicable and feasible to the applications of GIS-T.

  17. A multiple-responsive self-healing supramolecular polymer gel network based on multiple orthogonal interactions.

    Science.gov (United States)

    Zhan, Jiayi; Zhang, Mingming; Zhou, Mi; Liu, Bin; Chen, Dong; Liu, Yuanyuan; Chen, Qianqian; Qiu, Huayu; Yin, Shouchun

    2014-08-01

    Supramolecular polymer networks have attracted considerable attention not only due to their topological importance but also because they can show some fantastic properties such as stimuli-responsiveness and self-healing. Although various supramolecular networks are constructed by supramolecular chemists based on different non-covalent interactions, supramolecular polymer networks based on multiple orthogonal interactions are still rare. Here, a supramolecular polymer network is presented on the basis of the host-guest interactions between dibenzo-24-crown-8 (DB24C8) and dibenzylammonium salts (DBAS), the metal-ligand coordination interactions between terpyridine and Zn(OTf)2 , and between 1,2,3-triazole and PdCl2 (PhCN)2 . The topology of the networks can be easily tuned from monomer to main-chain supramolecular polymer and then to the supramolecular networks. This process is well studied by various characterization methods such as (1) H NMR, UV-vis, DOSY, viscosity, and rheological measurements. More importantly, a supramolecular gel is obtained at high concentrations of the supramolecular networks, which demonstrates both stimuli-responsiveness and self-healing properties. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  18. Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches

    Directory of Open Access Journals (Sweden)

    Manjunath Patel Gowdru Chandrashekarappa

    2014-01-01

    Full Text Available The present research work is focussed to develop an intelligent system to establish the input-output relationship utilizing forward and reverse mappings of artificial neural networks. Forward mapping aims at predicting the density and secondary dendrite arm spacing (SDAS from the known set of squeeze cast process parameters such as time delay, pressure duration, squeezes pressure, pouring temperature, and die temperature. An attempt is also made to meet the industrial requirements of developing the reverse model to predict the recommended squeeze cast parameters for the desired density and SDAS. Two different neural network based approaches have been proposed to carry out the said task, namely, back propagation neural network (BPNN and genetic algorithm neural network (GA-NN. The batch mode of training is employed for both supervised learning networks and requires huge training data. The requirement of huge training data is generated artificially at random using regression equation derived through real experiments carried out earlier by the same authors. The performances of BPNN and GA-NN models are compared among themselves with those of regression for ten test cases. The results show that both models are capable of making better predictions and the models can be effectively used in shop floor in selection of most influential parameters for the desired outputs.

  19. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks

    Directory of Open Access Journals (Sweden)

    Shibo Luo

    2015-12-01

    Full Text Available Software-Defined Networking-based Mobile Networks (SDN-MNs are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  20. A network-based method for the identification of putative genes related to infertility.

    Science.gov (United States)

    Wang, ShaoPeng; Huang, GuoHua; Hu, Qinghua; Zou, Quan

    2016-11-01

    Infertility has become one of the major health problems worldwide, with its incidence having risen markedly in recent decades. There is an urgent need to investigate the pathological mechanisms behind infertility and to design effective treatments. However, this is made difficult by the fact that various biological factors have been identified to be related to infertility, including genetic factors. A network-based method was established to identify new genes potentially related to infertility. A network constructed using human protein-protein interactions based on previously validated infertility-related genes enabled the identification of some novel candidate genes. These genes were then filtered by a permutation test and their functional and structural associations with infertility-related genes. Our method identified 23 novel genes, which have strong functional and structural associations with previously validated infertility-related genes. Substantial evidence indicates that the identified genes are strongly related to dysfunction of the four main biological processes of fertility: reproductive development and physiology, gametogenesis, meiosis and recombination, and hormone regulation. The newly discovered genes may provide new directions for investigating infertility. This article is part of a Special Issue entitled "System Genetics" Guest Editor: Dr. Yudong Cai and Dr. Tao Huang. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. Pathway and network-based strategies to translate genetic discoveries into effective therapies.

    Science.gov (United States)

    Greene, Casey S; Voight, Benjamin F

    2016-10-01

    One way to design a drug is to attempt to phenocopy a genetic variant that is known to have the desired effect. In general, drugs that are supported by genetic associations progress further in the development pipeline. However, the number of associations that are candidates for development into drugs is limited because many associations are in non-coding regions or difficult to target genes. Approaches that overlay information from pathway databases or biological networks can expand the potential target list. In cases where the initial variant is not targetable or there is no variant with the desired effect, this may reveal new means to target a disease. In this review, we discuss recent examples in the domain of pathway and network-based drug repositioning from genetic associations. We highlight important caveats and challenges for the field, and we discuss opportunities for further development. © The Author (2016). Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  2. Prediction of drug-target interactions and drug repositioning via network-based inference.

    Directory of Open Access Journals (Sweden)

    Feixiong Cheng

    Full Text Available Drug-target interaction (DTI is the basis of drug discovery and design. It is time consuming and costly to determine DTI experimentally. Hence, it is necessary to develop computational methods for the prediction of potential DTI. Based on complex network theory, three supervised inference methods were developed here to predict DTI and used for drug repositioning, namely drug-based similarity inference (DBSI, target-based similarity inference (TBSI and network-based inference (NBI. Among them, NBI performed best on four benchmark data sets. Then a drug-target network was created with NBI based on 12,483 FDA-approved and experimental drug-target binary links, and some new DTIs were further predicted. In vitro assays confirmed that five old drugs, namely montelukast, diclofenac, simvastatin, ketoconazole, and itraconazole, showed polypharmacological features on estrogen receptors or dipeptidyl peptidase-IV with half maximal inhibitory or effective concentration ranged from 0.2 to 10 µM. Moreover, simvastatin and ketoconazole showed potent antiproliferative activities on human MDA-MB-231 breast cancer cell line in MTT assays. The results indicated that these methods could be powerful tools in prediction of DTIs and drug repositioning.

  3. Authorship attribution of source code by using back propagation neural network based on particle swarm optimization.

    Science.gov (United States)

    Yang, Xinyu; Xu, Guoai; Li, Qi; Guo, Yanhui; Zhang, Miao

    2017-01-01

    Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to identify source code programmers. Authorship attribution of source code is required in diverse applications, ranging from malicious code tracking to solving authorship dispute or software plagiarism detection. This paper aims to propose a new method to identify the programmer of Java source code samples with a higher accuracy. To this end, it first introduces back propagation (BP) neural network based on particle swarm optimization (PSO) into authorship attribution of source code. It begins by computing a set of defined feature metrics, including lexical and layout metrics, structure and syntax metrics, totally 19 dimensions. Then these metrics are input to neural network for supervised learning, the weights of which are output by PSO and BP hybrid algorithm. The effectiveness of the proposed method is evaluated on a collected dataset with 3,022 Java files belong to 40 authors. Experiment results show that the proposed method achieves 91.060% accuracy. And a comparison with previous work on authorship attribution of source code for Java language illustrates that this proposed method outperforms others overall, also with an acceptable overhead.

  4. Neural networks-based damage detection for bridges considering errors in baseline finite element models

    Science.gov (United States)

    Lee, Jong Jae; Lee, Jong Won; Yi, Jin Hak; Yun, Chung Bang; Jung, Hie Young

    2005-02-01

    Structural health monitoring has become an important research topic in conjunction with damage assessment and safety evaluation of structures. The use of system identification approaches for damage detection has been expanded in recent years owing to the advancements in signal analysis and information processing techniques. Soft computing techniques such as neural networks and genetic algorithm have been utilized increasingly for this end due to their excellent pattern recognition capability. In this study, a neural networks-based damage detection method using the modal properties is presented, which can effectively consider the modelling errors in the baseline finite element model from which the training patterns are to be generated. The differences or the ratios of the mode shape components between before and after damage are used as the input to the neural networks in this method, since they are found to be less sensitive to the modelling errors than the mode shapes themselves. Two numerical example analyses on a simple beam and a multi-girder bridge are presented to demonstrate the effectiveness of the proposed method. Results of laboratory test on a simply supported bridge model and field test on a bridge with multiple girders confirm the applicability of the present method.

  5. Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions.

    Science.gov (United States)

    Takemoto, Kazuhiro; Aie, Kazuki

    2017-05-25

    Host-pathogen interactions are important in a wide range of research fields. Given the importance of metabolic crosstalk between hosts and pathogens, a metabolic network-based reverse ecology method was proposed to infer these interactions. However, the validity of this method remains unclear because of the various explanations presented and the influence of potentially confounding factors that have thus far been neglected. We re-evaluated the importance of the reverse ecology method for evaluating host-pathogen interactions while statistically controlling for confounding effects using oxygen requirement, genome, metabolic network, and phylogeny data. Our data analyses showed that host-pathogen interactions were more strongly influenced by genome size, primary network parameters (e.g., number of edges), oxygen requirement, and phylogeny than the reserve ecology-based measures. These results indicate the limitations of the reverse ecology method; however, they do not discount the importance of adopting reverse ecology approaches altogether. Rather, we highlight the need for developing more suitable methods for inferring host-pathogen interactions and conducting more careful examinations of the relationships between metabolic networks and host-pathogen interactions.

  6. Sensor Network-Based and User-Friendly User Location Discovery for Future Smart Homes.

    Science.gov (United States)

    Ahvar, Ehsan; Lee, Gyu Myoung; Han, Son N; Crespi, Noel; Khan, Imran

    2016-06-27

    User location is crucial context information for future smart homes where many location based services will be proposed. This location necessarily means that User Location Discovery (ULD) will play an important role in future smart homes. Concerns about privacy and the need to carry a mobile or a tag device within a smart home currently make conventional ULD systems uncomfortable for users. Future smart homes will need a ULD system to consider these challenges. This paper addresses the design of such a ULD system for context-aware services in future smart homes stressing the following challenges: (i) users' privacy; (ii) device-/tag-free; and (iii) fault tolerance and accuracy. On the other hand, emerging new technologies, such as the Internet of Things, embedded systems, intelligent devices and machine-to-machine communication, are penetrating into our daily life with more and more sensors available for use in our homes. Considering this opportunity, we propose a ULD system that is capitalizing on the prevalence of sensors for the home while satisfying the aforementioned challenges. The proposed sensor network-based and user-friendly ULD system relies on different types of inexpensive sensors, as well as a context broker with a fuzzy-based decision-maker. The context broker receives context information from different types of sensors and evaluates that data using the fuzzy set theory. We demonstrate the performance of the proposed system by illustrating a use case, utilizing both an analytical model and simulation.

  7. A Security Assessment Mechanism for Software-Defined Networking-Based Mobile Networks.

    Science.gov (United States)

    Luo, Shibo; Dong, Mianxiong; Ota, Kaoru; Wu, Jun; Li, Jianhua

    2015-12-17

    Software-Defined Networking-based Mobile Networks (SDN-MNs) are considered the future of 5G mobile network architecture. With the evolving cyber-attack threat, security assessments need to be performed in the network management. Due to the distinctive features of SDN-MNs, such as their dynamic nature and complexity, traditional network security assessment methodologies cannot be applied directly to SDN-MNs, and a novel security assessment methodology is needed. In this paper, an effective security assessment mechanism based on attack graphs and an Analytic Hierarchy Process (AHP) is proposed for SDN-MNs. Firstly, this paper discusses the security assessment problem of SDN-MNs and proposes a methodology using attack graphs and AHP. Secondly, to address the diversity and complexity of SDN-MNs, a novel attack graph definition and attack graph generation algorithm are proposed. In order to quantify security levels, the Node Minimal Effort (NME) is defined to quantify attack cost and derive system security levels based on NME. Thirdly, to calculate the NME of an attack graph that takes the dynamic factors of SDN-MN into consideration, we use AHP integrated with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) as the methodology. Finally, we offer a case study to validate the proposed methodology. The case study and evaluation show the advantages of the proposed security assessment mechanism.

  8. Cross-layer restoration with software defined networking based on IP over optical transport networks

    Science.gov (United States)

    Yang, Hui; Cheng, Lei; Deng, Junni; Zhao, Yongli; Zhang, Jie; Lee, Young

    2015-10-01

    The IP over optical transport network is a very promising networking architecture applied to the interconnection of geographically distributed data centers due to the performance guarantee of low delay, huge bandwidth and high reliability at a low cost. It can enable efficient resource utilization and support heterogeneous bandwidth demands in highly-available, cost-effective and energy-effective manner. In case of cross-layer link failure, to ensure a high-level quality of service (QoS) for user request after the failure becomes a research focus. In this paper, we propose a novel cross-layer restoration scheme for data center services with software defined networking based on IP over optical network. The cross-layer restoration scheme can enable joint optimization of IP network and optical network resources, and enhance the data center service restoration responsiveness to the dynamic end-to-end service demands. We quantitatively evaluate the feasibility and performances through the simulation under heavy traffic load scenario in terms of path blocking probability and path restoration latency. Numeric results show that the cross-layer restoration scheme improves the recovery success rate and minimizes the overall recovery time.

  9. Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.

    Science.gov (United States)

    Quan, Hao; Srinivasan, Dipti; Khosravi, Abbas

    2015-09-01

    Penetration of renewable energy resources, such as wind and solar power, into power systems significantly increases the uncertainties on system operation, stability, and reliability in smart grids. In this paper, the nonparametric neural network-based prediction intervals (PIs) are implemented for forecast uncertainty quantification. Instead of a single level PI, wind power forecast uncertainties are represented in a list of PIs. These PIs are then decomposed into quantiles of wind power. A new scenario generation method is proposed to handle wind power forecast uncertainties. For each hour, an empirical cumulative distribution function (ECDF) is fitted to these quantile points. The Monte Carlo simulation method is used to generate scenarios from the ECDF. Then the wind power scenarios are incorporated into a stochastic security-constrained unit commitment (SCUC) model. The heuristic genetic algorithm is utilized to solve the stochastic SCUC problem. Five deterministic and four stochastic case studies incorporated with interval forecasts of wind power are implemented. The results of these cases are presented and discussed together. Generation costs, and the scheduled and real-time economic dispatch reserves of different unit commitment strategies are compared. The experimental results show that the stochastic model is more robust than deterministic ones and, thus, decreases the risk in system operations of smart grids.

  10. Adaptive-network-based fuzzy inference system (ANFIS modelbased prediction of the surface ozone concentration

    Directory of Open Access Journals (Sweden)

    Savić Marija

    2014-01-01

    Full Text Available This paper presents the results of the tropospheric ozone concentration modeling as the dependence on volatile organic compounds - VOCs (Benzene, Toluene, m,p-Xylene, o-Xylene, Ethylbenzene; nonorganic compounds - NOx (NO, NO2, NOx, CO, H2S, SO2 and PM10 in the ambient air in parallel with the meteorological parameters: temperature, solar radiation, relative humidity, wind speed and direction. Modeling is based on measured results obtained during the year 2009. The measurements were performed at the measuring station located within an agricultural area, in vicinity of city of Zrenjanin (Serbian Banat, Serbia. Statistical analysis of obtained data, based on bivariate correlation analysis indicated that accurate modeling cannot be performed using linear statistics approach. Also, considering that almost all input variables have wide range of relative change (ratio of variance compared to range, nonlinear statistic analysis method based on only one rule describing the behavior of input variable, most certainly wouldn’t present accurate enough results. From that reason, modeling approach was based on Adaptive-Network-Based Fuzzy Inference System (ANFIS. Model obtained using ANFIS methodology resulted with high accuracy, with prediction potential of above 80%, considering that obtained determination coefficient for the final model was R2=0.802.

  11. Network-Based Inference Framework for Identifying Cancer Genes from Gene Expression Data

    Directory of Open Access Journals (Sweden)

    Bo Yang

    2013-01-01

    Full Text Available Great efforts have been devoted to alleviate uncertainty of detected cancer genes as accurate identification of oncogenes is of tremendous significance and helps unravel the biological behavior of tumors. In this paper, we present a differential network-based framework to detect biologically meaningful cancer-related genes. Firstly, a gene regulatory network construction algorithm is proposed, in which a boosting regression based on likelihood score and informative prior is employed for improving accuracy of identification. Secondly, with the algorithm, two gene regulatory networks are constructed from case and control samples independently. Thirdly, by subtracting the two networks, a differential-network model is obtained and then used to rank differentially expressed hub genes for identification of cancer biomarkers. Compared with two existing gene-based methods (t-test and lasso, the method has a significant improvement in accuracy both on synthetic datasets and two real breast cancer datasets. Furthermore, identified six genes (TSPYL5, CD55, CCNE2, DCK, BBC3, and MUC1 susceptible to breast cancer were verified through the literature mining, GO analysis, and pathway functional enrichment analysis. Among these oncogenes, TSPYL5 and CCNE2 have been already known as prognostic biomarkers in breast cancer, CD55 has been suspected of playing an important role in breast cancer prognosis from literature evidence, and other three genes are newly discovered breast cancer biomarkers. More generally, the differential-network schema can be extended to other complex diseases for detection of disease associated-genes.

  12. Structural design principles of complex bird songs: a network-based approach.

    Directory of Open Access Journals (Sweden)

    Kazutoshi Sasahara

    Full Text Available Bird songs are acoustic communication signals primarily used in male-male aggression and in male-female attraction. These are often monotonous patterns composed of a few phrases, yet some birds have extremely complex songs with a large phrase repertoire, organized in non-random fashion with discernible patterns. Since structure is typically associated with function, the structures of complex bird songs provide important clues to the evolution of animal communication systems. Here we propose an efficient network-based approach to explore structural design principles of complex bird songs, in which the song networks--transition relationships among different phrases and the related structural measures--are employed. We demonstrate how this approach works with an example using California Thrasher songs, which are sequences of highly varied phrases delivered in succession over several minutes. These songs display two distinct features: a large phrase repertoire with a 'small-world' architecture, in which subsets of phrases are highly grouped and linked with a short average path length; and a balanced transition diversity amongst phrases, in which deterministic and non-deterministic transition patterns are moderately mixed. We explore the robustness of this approach with variations in sample size and the amount of noise. Our approach enables a more quantitative study of global and local structural properties of complex bird songs than has been possible to date.

  13. Network-based analysis reveals functional connectivity related to internet addiction tendency

    Directory of Open Access Journals (Sweden)

    Tanya eWen

    2016-02-01

    Full Text Available IntroductionPreoccupation and compulsive use of the internet can have negative psychological effects, such that it is increasingly being recognized as a mental disorder. The present study employed network-based statistics to explore how whole-brain functional connections at rest is related to the extent of individual’s level of internet addiction, indexed by a self-rated questionnaire. We identified two topologically significant networks, one with connections that are positively correlated with internet addiction tendency, and one with connections negatively correlated with internet addiction tendency. The two networks are interconnected mostly at frontal regions, which might reflect alterations in the frontal region for different aspects of cognitive control (i.e., for control of internet usage and gaming skills. Next, we categorized the brain into several large regional subgroupings, and found that the majority of proportions of connections in the two networks correspond to the cerebellar model of addiction which encompasses the four-circuit model. Lastly, we observed that the brain regions with the most inter-regional connections associated with internet addiction tendency replicate those often seen in addiction literature, and is corroborated by our meta-analysis of internet addiction studies. This research provides a better understanding of large-scale networks involved in internet addiction tendency and shows that pre-clinical levels of internet addiction are associated with similar regions and connections as clinical cases of addiction.

  14. Neural-Network-Based Fuzzy Logic Navigation Control for Intelligent Vehicles

    Directory of Open Access Journals (Sweden)

    Ahcene Farah

    2002-06-01

    Full Text Available This paper proposes a Neural-Network-Based Fuzzy logic system for navigation control of intelligent vehicles. First, the use of Neural Networks and Fuzzy Logic to provide intelligent vehicles  with more autonomy and intelligence is discussed. Second, the system  for the obstacle avoidance behavior is developed. Fuzzy Logic improves Neural Networks (NN obstacle avoidance approach by handling imprecision and rule-based approximate reasoning. This system must make the vehicle able, after supervised learning, to achieve two tasks: 1- to make one’s way towards its target by a NN, and 2- to avoid static or dynamic obstacles by a Fuzzy NN capturing the behavior of a human expert. Afterwards, two association phases between each task and the appropriate actions are carried out by Trial and Error learning and their coordination allows to decide the appropriate action. Finally, the simulation results display the generalization and adaptation abilities of the system by testing it in new unexplored environments.

  15. Resilient Disaster Network Based on Software Defined Cognitive Wireless Network Technology

    Directory of Open Access Journals (Sweden)

    Goshi Sato

    2015-01-01

    Full Text Available In order to temporally recover the information network infrastructure in disaster areas from the Great East Japan Earthquake in 2011, various wireless network technologies such as satellite IP network, 3G, and Wi-Fi were effectively used. However, since those wireless networks are individually introduced and installed but not totally integrated, some of networks were congested due to the sudden network traffic generation and unbalanced traffic distribution, and eventually the total network could not effectively function. In this paper, we propose a disaster resilient network which integrates various wireless networks into a cognitive wireless network that users can use as an access network to the Internet at the serious disaster occurrence. We designed and developed the disaster resilient network based on software defined network (SDN technology to automatically select the best network link and route among the possible access networks to the Internet by periodically monitoring their network states and evaluate those using extended AHP method. In order to verify the usefulness of our proposed system, a prototype system is constructed and its performance is evaluated.

  16. Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

    Directory of Open Access Journals (Sweden)

    Erik Marchi

    2017-01-01

    Full Text Available In the emerging field of acoustic novelty detection, most research efforts are devoted to probabilistic approaches such as mixture models or state-space models. Only recent studies introduced (pseudo-generative models for acoustic novelty detection with recurrent neural networks in the form of an autoencoder. In these approaches, auditory spectral features of the next short term frame are predicted from the previous frames by means of Long-Short Term Memory recurrent denoising autoencoders. The reconstruction error between the input and the output of the autoencoder is used as activation signal to detect novel events. There is no evidence of studies focused on comparing previous efforts to automatically recognize novel events from audio signals and giving a broad and in depth evaluation of recurrent neural network-based autoencoders. The present contribution aims to consistently evaluate our recent novel approaches to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases: A3Novelty, PASCAL CHiME, and PROMETHEUS. Besides providing an extensive analysis of novel and state-of-the-art methods, the article shows how RNN-based autoencoders outperform statistical approaches up to an absolute improvement of 16.4% average F-measure over the three databases.

  17. Network Based Integrated Analysis of Phenotype-Genotype Data for Prioritization of Candidate Symptom Genes

    Directory of Open Access Journals (Sweden)

    Xing Li

    2014-01-01

    Full Text Available Background. Symptoms and signs (symptoms in brief are the essential clinical manifestations for individualized diagnosis and treatment in traditional Chinese medicine (TCM. To gain insights into the molecular mechanism of symptoms, we develop a computational approach to identify the candidate genes of symptoms. Methods. This paper presents a network-based approach for the integrated analysis of multiple phenotype-genotype data sources and the prediction of the prioritizing genes for the associated symptoms. The method first calculates the similarities between symptoms and diseases based on the symptom-disease relationships retrieved from the PubMed bibliographic database. Then the disease-gene associations and protein-protein interactions are utilized to construct a phenotype-genotype network. The PRINCE algorithm is finally used to rank the potential genes for the associated symptoms. Results. The proposed method gets reliable gene rank list with AUC (area under curve 0.616 in classification. Some novel genes like CALCA, ESR1, and MTHFR were predicted to be associated with headache symptoms, which are not recorded in the benchmark data set, but have been reported in recent published literatures. Conclusions. Our study demonstrated that by integrating phenotype-genotype relationships into a complex network framework it provides an effective approach to identify candidate genes of symptoms.

  18. An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals

    Directory of Open Access Journals (Sweden)

    Marsel Mano

    2013-04-01

    Full Text Available Brain machine interface (BMI has been proposed as a novel technique to control prosthetic devices aimed at restoring motor functions in paralyzed patients. In this paper, we propose a neural network based controller that maps rat’s brain signals and transforms them into robot movement. First, the rat is trained to move the robot by pressing the right and left lever in order to get food. Next, we collect brain signals with four implanted electrodes, two in the motor cortex and two in the somatosensory cortex area. The collected data are used to train and evaluate different artificial neural controllers. Trained neural controllers are employed online to map brain signals and transform them into robot motion. Offline and online classification results of rat’s brain signals show that the Radial Basis Function Neural Networks (RBFNN outperforms other neural networks. In addition, online robot control results show that even with a limited number of electrodes, the robot motion generated by RBFNN matched the motion generated by the left and right lever position.

  19. A Network-Based Algorithm for Clustering Multivariate Repeated Measures Data

    Science.gov (United States)

    Koslovsky, Matthew; Arellano, John; Schaefer, Caroline; Feiveson, Alan; Young, Millennia; Lee, Stuart

    2017-01-01

    The National Aeronautics and Space Administration (NASA) Astronaut Corps is a unique occupational cohort for which vast amounts of measures data have been collected repeatedly in research or operational studies pre-, in-, and post-flight, as well as during multiple clinical care visits. In exploratory analyses aimed at generating hypotheses regarding physiological changes associated with spaceflight exposure, such as impaired vision, it is of interest to identify anomalies and trends across these expansive datasets. Multivariate clustering algorithms for repeated measures data may help parse the data to identify homogeneous groups of astronauts that have higher risks for a particular physiological change. However, available clustering methods may not be able to accommodate the complex data structures found in NASA data, since the methods often rely on strict model assumptions, require equally-spaced and balanced assessment times, cannot accommodate missing data or differing time scales across variables, and cannot process continuous and discrete data simultaneously. To fill this gap, we propose a network-based, multivariate clustering algorithm for repeated measures data that can be tailored to fit various research settings. Using simulated data, we demonstrate how our method can be used to identify patterns in complex data structures found in practice.

  20. Selected Flight Test Results for Online Learning Neural Network-Based Flight Control System

    Science.gov (United States)

    Williams-Hayes, Peggy S.

    2004-01-01

    The NASA F-15 Intelligent Flight Control System project team developed a series of flight control concepts designed to demonstrate neural network-based adaptive controller benefits, with the objective to develop and flight-test control systems using neural network technology to optimize aircraft performance under nominal conditions and stabilize the aircraft under failure conditions. This report presents flight-test results for an adaptive controller using stability and control derivative values from an online learning neural network. A dynamic cell structure neural network is used in conjunction with a real-time parameter identification algorithm to estimate aerodynamic stability and control derivative increments to baseline aerodynamic derivatives in flight. This open-loop flight test set was performed in preparation for a future phase in which the learning neural network and parameter identification algorithm output would provide the flight controller with aerodynamic stability and control derivative updates in near real time. Two flight maneuvers are analyzed - pitch frequency sweep and automated flight-test maneuver designed to optimally excite the parameter identification algorithm in all axes. Frequency responses generated from flight data are compared to those obtained from nonlinear simulation runs. Flight data examination shows that addition of flight-identified aerodynamic derivative increments into the simulation improved aircraft pitch handling qualities.

  1. A Novel Neural Network-Based Technique for Smart Gas Sensors Operating in a Dynamic Environment

    Directory of Open Access Journals (Sweden)

    Zohir Dibi

    2009-11-01

    Full Text Available Thanks to their high sensitivity and low-cost, metal oxide gas sensors (MOX are widely used in gas detection, although they present well-known problems (lack of selectivity and environmental effects…. We present in this paper a novel neural network- based technique to remedy these problems. The idea is to create intelligent models; the first one, called corrector, can automatically linearize a sensor’s response characteristics and eliminate its dependency on the environmental parameters. The corrector’s responses are processed with the second intelligent model which has the role of discriminating exactly the detected gas (nature and concentration. The gas sensors used are industrial resistive kind (TGS8xx, by Figaro Engineering. The MATLAB environment is used during the design phase and optimization. The sensor models, the corrector, and the selective model were implemented and tested in the PSPICE simulator. The sensor model accurately expresses the nonlinear character of the response and the dependence on temperature and relative humidity in addition to their gas nature dependency. The corrector linearizes and compensates the sensor’s responses. The method discriminates qualitatively and quantitatively between seven gases. The advantage of the method is that it uses a small representative database so we can easily implement the model in an electrical simulator. This method can be extended to other sensors.

  2. NaviCell Web Service for network-based data visualization.

    Science.gov (United States)

    Bonnet, Eric; Viara, Eric; Kuperstein, Inna; Calzone, Laurence; Cohen, David P A; Barillot, Emmanuel; Zinovyev, Andrei

    2015-07-01

    Data visualization is an essential element of biological research, required for obtaining insights and formulating new hypotheses on mechanisms of health and disease. NaviCell Web Service is a tool for network-based visualization of 'omics' data which implements several data visual representation methods and utilities for combining them together. NaviCell Web Service uses Google Maps and semantic zooming to browse large biological network maps, represented in various formats, together with different types of the molecular data mapped on top of them. For achieving this, the tool provides standard heatmaps, barplots and glyphs as well as the novel map staining technique for grasping large-scale trends in numerical values (such as whole transcriptome) projected onto a pathway map. The web service provides a server mode, which allows automating visualization tasks and retrieving data from maps via RESTful (standard HTTP) calls. Bindings to different programming languages are provided (Python and R). We illustrate the purpose of the tool with several case studies using pathway maps created by different research groups, in which data visualization provides new insights into molecular mechanisms involved in systemic diseases such as cancer and neurodegenerative diseases. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  3. A web of possibilities: network-based discovery of protein interaction codes.

    Science.gov (United States)

    Winter, Daniel L; Erce, Melissa A; Wilkins, Marc R

    2014-12-05

    Many proteins, including p53, the FoxO transcription factors, RNA polymerase II, pRb, and the chaperones, have extensive post-translational modifications (PTMs). Many of these modifications modulate protein-protein interactions, controlling interaction presence/absence and specificity. Here we propose the notion of the interaction code, a widespread means by which modifications are used to control interactions in the proteome. Minimal interaction codes are likely to exist on proteins that have two modifications and two or more interaction partners. By contrast, complex interaction codes are likely to be found on "date hub" proteins that have many interactions, many PTMs, or are targeted by many modifying and demodifying enzymes. Proteins with new interaction codes should be discoverable by examining protein interaction networks, annotated with PTMs and protein-modifying enzyme-substrate links. Multiple instances or combinations of phosphorylation, acetylation, methylation, O-GlcNAc, or ubiquitination will likely form interaction codes, especially when colocated on a protein's single interaction interface. A network-based example of code discovery is given, predicting the yeast protein Npl3p to have a methylation/phosphorylation-dependent interaction code.

  4. Measuring the wisdom of the crowds in network-based gene function inference.

    Science.gov (United States)

    Verleyen, W; Ballouz, S; Gillis, J

    2015-03-01

    Network-based gene function inference methods have proliferated in recent years, but measurable progress remains elusive. We wished to better explore performance trends by controlling data and algorithm implementation, with a particular focus on the performance of aggregate predictions. Hypothesizing that popular methods would perform well without hand-tuning, we used well-characterized algorithms to produce verifiably 'untweaked' results. We find that most state-of-the-art machine learning methods obtain 'gold standard' performance as measured in critical assessments in defined tasks. Across a broad range of tests, we see close alignment in algorithm performances after controlling for the underlying data being used. We find that algorithm aggregation provides only modest benefits, with a 17% increase in area under the ROC (AUROC) above the mean AUROC. In contrast, data aggregation gains are enormous with an 88% improvement in mean AUROC. Altogether, we find substantial evidence to support the view that additional algorithm development has little to offer for gene function prediction. The supplementary information contains a description of the algorithms, the network data parsed from different biological data resources and a guide to the source code (available at: http://gillislab.cshl.edu/supplements/). © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  5. Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data

    Directory of Open Access Journals (Sweden)

    Ai-Di Zhang

    2013-01-01

    Full Text Available With the advent of the high-throughput data production, recent studies of tissue-specific metabolic networks have largely advanced our understanding of the metabolic basis of various physiological and pathological processes. However, for kidney, which plays an essential role in the body, the available kidney-specific model remains incomplete. This paper reports the reconstruction and characterization of the human kidney metabolic network based on transcriptome and proteome data. In silico simulations revealed that house-keeping genes were more essential than kidney-specific genes in maintaining kidney metabolism. Importantly, a total of 267 potential metabolic biomarkers for kidney-related diseases were successfully explored using this model. Furthermore, we found that the discrepancies in metabolic processes of different tissues are directly corresponding to tissue's functions. Finally, the phenotypes of the differentially expressed genes in diabetic kidney disease were characterized, suggesting that these genes may affect disease development through altering kidney metabolism. Thus, the human kidney-specific model constructed in this study may provide valuable information for the metabolism of kidney and offer excellent insights into complex kidney diseases.

  6. Sensor Network-Based and User-Friendly User Location Discovery for Future Smart Homes

    Directory of Open Access Journals (Sweden)

    Ehsan Ahvar

    2016-06-01

    Full Text Available User location is crucial context information for future smart homes where many location based services will be proposed. This location necessarily means that User Location Discovery (ULD will play an important role in future smart homes. Concerns about privacy and the need to carry a mobile or a tag device within a smart home currently make conventional ULD systems uncomfortable for users. Future smart homes will need a ULD system to consider these challenges. This paper addresses the design of such a ULD system for context-aware services in future smart homes stressing the following challenges: (i users’ privacy; (ii device-/tag-free; and (iii fault tolerance and accuracy. On the other hand, emerging new technologies, such as the Internet of Things, embedded systems, intelligent devices and machine-to-machine communication, are penetrating into our daily life with more and more sensors available for use in our homes. Considering this opportunity, we propose a ULD system that is capitalizing on the prevalence of sensors for the home while satisfying the aforementioned challenges. The proposed sensor network-based and user-friendly ULD system relies on different types of inexpensive sensors, as well as a context broker with a fuzzy-based decision-maker. The context broker receives context information from different types of sensors and evaluates that data using the fuzzy set theory. We demonstrate the performance of the proposed system by illustrating a use case, utilizing both an analytical model and simulation.

  7. A Typology of Multi-sided Platforms

    DEFF Research Database (Denmark)

    Staykova, Kalina Stefanova; Damsgaard, Jan

    2015-01-01

    In this paper we address how the composition of a platform impacts the platform’s business model. By platform’s business model we mean platform features, platform architecture and platform governance. To this end, we construct the Platform Business Model Framework. We apply the framework to three...

  8. Platform Expansion Design as Strategic Choice

    DEFF Research Database (Denmark)

    Staykova, Kalina S.; Damsgaard, Jan

    2016-01-01

    In this paper, we address how the strategic choice of platform expansion design impacts the subse-quent platform strategy. We identify two distinct approaches to platform expansion – platform bun-dling and platform constellations, which currently co-exist. The purpose of this paper is to outline...

  9. Vertical Relationships within Platform Marketplaces

    Directory of Open Access Journals (Sweden)

    Mark J. Tremblay

    2016-07-01

    Full Text Available In two-sided markets a platform allows consumers and sellers to interact by creating sub-markets within the platform marketplace. For example, Amazon has sub-markets for all of the different product categories available on its site, and smartphones have sub-markets for different types of applications (gaming apps, weather apps, map apps, ridesharing apps, etc.. The network benefits between consumers and sellers depend on the mode of competition within the sub-markets: more competition between sellers lowers product prices, increases the surplus consumers receive from a sub-market, and makes platform membership more desirable for consumers. However, more competition also lowers profits for a seller which makes platform membership less desirable for a seller and reduces seller entry and the number of sub-markets available on the platform marketplace. This dynamic between seller competition within a sub-market and agents’ network benefits leads to platform pricing strategies, participation decisions by consumers and sellers, and welfare results that depend on the mode of competition. Thus, the sub-market structure is important when investigating platform marketplaces.

  10. Social Networking Technologies

    Science.gov (United States)

    2015-01-01

    amount of information, new platforms are created to facilitate and capitalize on it. Social networking technologies have been celebrated for their...some of the privacy we would otherwise have. Further Reading: Reinecke, Leonard; Trepete, Sabine. Privacy Online: Perspectives on Privacy and Self ... Disclosure in the Social Web. New York, NY: Springer Publishing Company, 2011. Silverman, Jacob. Terms of Service: Social Media and the Price of

  11. UNDERSTANDING SOCIAL MEDIA MINDSET OF CONSUMERS: AN INDIAN PERSPECTIVE

    National Research Council Canada - National Science Library

    Sita Mishra; Archana Tyagi

    2015-01-01

      Social media play increasingly important roles as a marketing platform. In today's world, more and more retailers' use social media to target teenagers and young adults as a result importance of bringing social networking sites (SNSs...

  12. Elevated Fixed Platform Test Facility

    Data.gov (United States)

    Federal Laboratory Consortium — The Elevated Fixed Platform (EFP) is a helicopter recovery test facility located at Lakehurst, NJ. It consists of a 60 by 85 foot steel and concrete deck built atop...

  13. Platform attitude data acquisition system

    Digital Repository Service at National Institute of Oceanography (India)

    Afzulpurkar, S.

    A system for automatic acquisition of underwater platform attitude data has been designed, developed and tested in the laboratory. This is a micro controller based system interfacing dual axis inclinometer, high-resolution digital compass...

  14. Platforms for Innovation and Internationalization

    DEFF Research Database (Denmark)

    Rasmussen, Erik Stavnsager; Petersen, Nicolaj Hannesbo

    2017-01-01

    The high-tech global startup has many challenges related to both innovation and internationalization. From a Danish cluster of Welfare Tech firms, eight innovative and international firms were selected and interviewed. Such firms typically have to be agile and operate in virtual networks in almost...... all parts of their value chains. This article contributes to the understanding of how innovation and internationalization to a great extent are interlinked. The firms have developed a core product or service offering, which the firms often describe as “a platform”. Around the platform, they develop...... their products and services for new customers and users in new countries. The firms have to sustain a strong focus on the platform while at the same time developing their platform solution for new products, new customers, and new markets. This pivoting makes it possible to use the platform in a new context...

  15. Locking devise for oil platforms

    Energy Technology Data Exchange (ETDEWEB)

    Thomas, P.-A.; Naudin, J.-C.

    1987-10-20

    A self-raising oil well platform comprises a shell mounted to be movable along legs by means of raising mechanisms comprising output gear pinions cooperative with racks mounted on at least a part of the length of the legs. The locking device for such a platform comprises a toothed member forming a counter-rack mounted on the shell of the platform, means for shifting the toothed member transversely of the direction of the rack with which the device is associated for engaging or disengaging the teeth of the toothed member in the teeth of the rack, clamping plates connected to the toothed member and clamping counter-plates connected to the platform, and means for clamping the plates and counter-plates together so as to lock the toothed member in position in the rack. 4 figs.

  16. Aprendizagem social, desenvolvimento de plataformas de múltiplos atores e governança da água no Brasil Social learning, development of multi-stakeholder platforms and water governance in Brazil Aprendizaje social, desarrollo de plataformas multi-agentes y gobernación del agua en Brasil

    Directory of Open Access Journals (Sweden)

    Pedro Roberto Jacobi

    2010-01-01

    Full Text Available PortuguêsA contribuição dos espaços deliberativos é fundamental para o fortalecimento da governança da água. A ampliação destes espaços de participação cidadã favorece qualitativamente a capacidade de representação dos interesses, entretanto o grande desafio é que esses espaços sejam efetivamente públicos, tanto no seu formato quanto nos resultados. Inserido no processo de Governança da Água, o conceito de Aprendizagem Social abre um estimulante espaço de desenvolver processos de articulação de ações que tem como premissa a noção de “aprender conjuntamente para manejo e decisões conjuntos e mudanças na gestão”. Basicamente, a estratégia de aprendizado é que todos devem conhecer o contexto de criticidade e condições de governança para intervirem juntos em contextos de bacias hidrográficas. A partir do conceito de Aprendizagem Social visa-se responder aos desafios da sustentabilidade e integração das interfaces na governança da água, o que pressupõe a contribuição de diferentes conhecimentos e interdisciplinaridade.EnglishThe contribution of decision-making spaces is fundamental for the strengthening of water governance. The expansion of these spaces of citizen involvement promotes qualitatively the ability of representation of interests. However, the big challenge is that these spaces become effectively public, both in their format and in their results. Inserted in the Water Governance Process, the concept of social learning opens an exciting space to develop processes of action articulation premised on the notion of "learning together for joint handling and decision-making as well as changes in corporate governance". Basically, the learning strategy is that everyone should know the context of criticality and governance conditions in order to intervene together in contexts of river basins. From the concept of social learning, one aims to meet the challenges of sustainability and integration of the

  17. Robotic Platform for Internal Inspection

    OpenAIRE

    Cope, Brian Alexander

    2013-01-01

    This thesis describes the design of a robotic inspection tool which is based on a differential track-drive platform. The robotic inspection tool is a one man-portable UGV that has been developed for the purpose of non-destructive evaluation (NDE) and internal inspection of environments where human penetration may be difficult or hazardous. Various NDE and sensing techniques are described in this paper but the focus is on the mechanical and electrical design of the platform itself. The platfor...

  18. Network-based group variable selection for detecting expression quantitative trait loci (eQTL

    Directory of Open Access Journals (Sweden)

    Zhang Xuegong

    2011-06-01

    Full Text Available Abstract Background Analysis of expression quantitative trait loci (eQTL aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge of gene expression network and linkage disequilibrium (LD structure between loci in high-noise background. Results We propose a network-based group variable selection (NGVS method for QTL detection. Our method simultaneously maps highly correlated expression traits sharing the same biological function to marker sets formed by LD. By grouping markers, complex joint activity of multiple SNPs can be considered and the dimensionality of eQTL problem is reduced dramatically. In order to demonstrate the power and flexibility of our method, we used it to analyze two simulations and a mouse obesity and diabetes dataset. We considered the gene co-expression network, grouped markers into marker sets and treated the additive and dominant effect of each locus as a group: as a consequence, we were able to replicate results previously obtained on the mouse linkage dataset. Furthermore, we observed several possible sex-dependent loci and interactions of multiple SNPs. Conclusions The proposed NGVS method is appropriate for problems with high-dimensional data and high-noise background. On eQTL problem it outperforms the classical Lasso method, which does not consider biological knowledge. Introduction of proper gene expression and loci correlation information makes detecting causal markers more accurate. With reasonable model settings, NGVS can lead to novel biological findings.

  19. A network-based approach to prioritize results from genome-wide association studies.

    Directory of Open Access Journals (Sweden)

    Nirmala Akula

    Full Text Available Genome-wide association studies (GWAS are a valuable approach to understanding the genetic basis of complex traits. One of the challenges of GWAS is the translation of genetic association results into biological hypotheses suitable for further investigation in the laboratory. To address this challenge, we introduce Network Interface Miner for Multigenic Interactions (NIMMI, a network-based method that combines GWAS data with human protein-protein interaction data (PPI. NIMMI builds biological networks weighted by connectivity, which is estimated by use of a modification of the Google PageRank algorithm. These weights are then combined with genetic association p-values derived from GWAS, producing what we call 'trait prioritized sub-networks.' As a proof of principle, NIMMI was tested on three GWAS datasets previously analyzed for height, a classical polygenic trait. Despite differences in sample size and ancestry, NIMMI captured 95% of the known height associated genes within the top 20% of ranked sub-networks, far better than what could be achieved by a single-locus approach. The top 2% of NIMMI height-prioritized sub-networks were significantly enriched for genes involved in transcription, signal transduction, transport, and gene expression, as well as nucleic acid, phosphate, protein, and zinc metabolism. All of these sub-networks were ranked near the top across all three height GWAS datasets we tested. We also tested NIMMI on a categorical phenotype, Crohn's disease. NIMMI prioritized sub-networks involved in B- and T-cell receptor, chemokine, interleukin, and other pathways consistent with the known autoimmune nature of Crohn's disease. NIMMI is a simple, user-friendly, open-source software tool that efficiently combines genetic association data with biological networks, translating GWAS findings into biological hypotheses.

  20. A Network-Based Approach to Prioritize Results from Genome-Wide Association Studies

    Science.gov (United States)

    Akula, Nirmala; Baranova, Ancha; Seto, Donald; Solka, Jeffrey; Nalls, Michael A.; Singleton, Andrew; Ferrucci, Luigi; Tanaka, Toshiko; Bandinelli, Stefania; Cho, Yoon Shin; Kim, Young Jin; Lee, Jong-Young; Han, Bok-Ghee; McMahon, Francis J.

    2011-01-01

    Genome-wide association studies (GWAS) are a valuable approach to understanding the genetic basis of complex traits. One of the challenges of GWAS is the translation of genetic association results into biological hypotheses suitable for further investigation in the laboratory. To address this challenge, we introduce Network Interface Miner for Multigenic Interactions (NIMMI), a network-based method that combines GWAS data with human protein-protein interaction data (PPI). NIMMI builds biological networks weighted by connectivity, which is estimated by use of a modification of the Google PageRank algorithm. These weights are then combined with genetic association p-values derived from GWAS, producing what we call ‘trait prioritized sub-networks.’ As a proof of principle, NIMMI was tested on three GWAS datasets previously analyzed for height, a classical polygenic trait. Despite differences in sample size and ancestry, NIMMI captured 95% of the known height associated genes within the top 20% of ranked sub-networks, far better than what could be achieved by a single-locus approach. The top 2% of NIMMI height-prioritized sub-networks were significantly enriched for genes involved in transcription, signal transduction, transport, and gene expression, as well as nucleic acid, phosphate, protein, and zinc metabolism. All of these sub-networks were ranked near the top across all three height GWAS datasets we tested. We also tested NIMMI on a categorical phenotype, Crohn’s disease. NIMMI prioritized sub-networks involved in B- and T-cell receptor, chemokine, interleukin, and other pathways consistent with the known autoimmune nature of Crohn’s disease. NIMMI is a simple, user-friendly, open-source software tool that efficiently combines genetic association data with biological networks, translating GWAS findings into biological hypotheses. PMID:21915301

  1. Prediction of microRNAs involved in immune system diseases through network based features.

    Science.gov (United States)

    Prabahar, Archana; Natarajan, Jeyakumar

    2017-01-01

    MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of several genes at post-transcriptional level and play a vital role in disease pathogenesis. Recent research shows that a range of miRNAs are involved in the regulation of immunity and its deregulation results in immune mediated diseases such as cancer, inflammation and autoimmune diseases. Computational discovery of these immune miRNAs using a set of specific features is highly desirable. In the current investigation, we present a SVM based classification system which uses a set of novel network based topological and motif features in addition to the baseline sequential and structural features to predict immune specific miRNAs from other non-immune miRNAs. The classifier was trained and tested on a balanced set of equal number of positive and negative examples to show the discriminative power of our network features. Experimental results show that our approach achieves an accuracy of 90.2% and outperforms the classification accuracy of 63.2% reported using the traditional miRNA sequential and structural features. The proposed classifier was further validated with two immune disease sub-class datasets related to multiple sclerosis microarray data and psoriasis RNA-seq data with higher accuracy. These results indicate that our classifier which uses network and motif features along with sequential and structural features will lead to significant improvement in classifying immune miRNAs and hence can be applied to identify other specific classes of miRNAs as an extensible miRNA classification system. Copyright © 2016 Elsevier Inc. All rights reserved.

  2. Semi-interpenetrating networks based on POLY(N-isopropyl acrilamide and POLY(N-vinylpyrrolidone

    Directory of Open Access Journals (Sweden)

    Žugić Dragana

    2007-01-01

    Full Text Available Three series of semi-interpenetrating polymer networks based on cross-linked poly(N-isopropylacrylamide, PNIPA, and 1, 2 and 3 wt% of linear poly(N-vinylpyrrolidone, PVP, were synthesized in order to improve the mechanical properties of PNIPA gels. The effect of the incorporation of the linear PVP polymer into the temperature responsive networks on the phase transition temperature, swelling behavior and mechanical properties was studied. Polymer networks with four different crosslinking densities were prepared with various molar ratios (25/1 to 100/1 of the monomer (N-isopropylacrylamide to the cross linker (N,N'-methylene-bisacrylamide. The hydrogels were characterized by determination of the equilibrium degree of swelling at 25 °C, the dynamic shear modulus and the effective crosslinking density, as well as the ultimate hydrogel properties, such as the tensile strength and elongation at break. Furthermore, the deswelling kinetics of the hydrogels was also studied by measuring their water retention capacity. The inclusion of the linear hydrophilic PVP in the PNIPA networks increased the equilibrium degree of swelling, the highest values of which were obtained for samples with 2 and 3 wt% of PVP and the NIPA/MBA molar ratio of 75/1 and 100/1. The highest reinforcement effect, evaluated from the ratio of G'red(semi-IPN to G'red(PNIPA, was obtained by incorporation of 2 wt% PVP. The tensile strength of the semi-IPNs reinforced with linear PVP was higher than that of the PNIPA networks. The elongation at break of these semi-IPNs varied between 22 and 55%, which are 22^11% larger than those for single PNIPA networks. The tensile measurements confirmed that the presence of 2 wt% of the linear polymer significantly reinforced the PNIPA network.

  3. Improved methods in neural network-based adaptive output feedback control, with applications to flight control

    Science.gov (United States)

    Kim, Nakwan

    Utilizing the universal approximation property of neural networks, we develop several novel approaches to neural network-based adaptive output feedback control of nonlinear systems, and illustrate these approaches for several flight control applications. In particular, we address the problem of non-affine systems and eliminate the fixed point assumption present in earlier work. All of the stability proofs are carried out in a form that eliminates an algebraic loop in the neural network implementation. An approximate input/output feedback linearizing controller is augmented with a neural network using input/output sequences of the uncertain system. These approaches permit adaptation to both parametric uncertainty and unmodeled dynamics. All physical systems also have control position and rate limits, which may either deteriorate performance or cause instability for a sufficiently high control bandwidth. Here we apply a method for protecting an adaptive process from the effects of input saturation and time delays, known as "pseudo control hedging". This method was originally developed for the state feedback case, and we provide a stability analysis that extends its domain of applicability to the case of output feedback. The approach is illustrated by the design of a pitch-attitude flight control system for a linearized model of an R-50 experimental helicopter, and by the design of a pitch-rate control system for a 58-state model of a flexible aircraft consisting of rigid body dynamics coupled with actuator and flexible modes. A new approach to augmentation of an existing linear controller is introduced. It is especially useful when there is limited information concerning the plant model, and the existing controller. The approach is applied to the design of an adaptive autopilot for a guided munition. Design of a neural network adaptive control that ensures asymptotically stable tracking performance is also addressed.

  4. Context-sensitive network-based disease genetics prediction and its implications in drug discovery.

    Science.gov (United States)

    Chen, Yang; Xu, Rong

    2017-04-01

    Disease phenotype networks play an important role in computational approaches to identifying new disease-gene associations. Current disease phenotype networks often model disease relationships based on pairwise similarities, therefore ignore the specific context on how two diseases are connected. In this study, we propose a new strategy to model disease associations using context-sensitive networks (CSNs). We developed a CSN-based phenome-driven approach for disease genetics prediction, and investigated the translational potential of the predicted genes in drug discovery. We constructed CSNs by directly connecting diseases with associated phenotypes. Here, we constructed two CSNs using different data sources; the two networks contain 26 790 and 13 822 nodes respectively. We integrated the CSNs with a genetic functional relationship network and predicted disease genes using a network-based ranking algorithm. For comparison, we built Similarity-Based disease Networks (SBN) using the same disease phenotype data. In a de novo cross validation for 3324 diseases, the CSN-based approach significantly increased the average rank from top 12.6 to top 8.8% for all tested genes comparing with the SBN-based approach ( pdisease using CSNs, and demonstrated that the top-ranked genes are highly relevant to PD pathologenesis. We pin-pointed a top-ranked drug target gene for PD, and found its association with neurodegeneration supported by literature. In summary, CSNs lead to significantly improve the disease genetics prediction comparing with SBNs and provide leads for potential drug targets. nlp.case.edu/public/data/. rxx@case.edu.

  5. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.

    Science.gov (United States)

    Barzegar, Rahim; Fijani, Elham; Asghari Moghaddam, Asghar; Tziritis, Evangelos

    2017-12-01

    Accurate prediction of groundwater level (GWL) fluctuations can play an important role in water resources management. The aims of the research are to evaluate the performance of different hybrid wavelet-group method of data handling (WA-GMDH) and wavelet-extreme learning machine (WA-ELM) models and to combine different wavelet based models for forecasting the GWL for one, two and three months step-ahead in the Maragheh-Bonab plain, NW Iran, as a case study. The research used totally 367 monthly GWLs (m) datasets (Sep 1985-Mar 2016) which were split into two subsets; the first 312 datasets (85% of total) were used for model development (training) and the remaining 55 ones (15% of total) for model evaluation (testing). The stepwise selection was used to select appropriate lag times as the inputs of the proposed models. The performance criteria such as coefficient of determination (R2), root mean square error (RMSE) and Nash-Sutcliffe efficiency coefficient (NSC) were used for assessing the efficiency of the models. The results indicated that the ELM models outperformed GMDH models. To construct the hybrid wavelet based models, the inputs and outputs were decomposed into sub-time series employing different maximal overlap discrete wavelet transform (MODWT) functions, namely Daubechies, Symlet, Haar and Dmeyer of different orders at level two. Subsequently, these sub-time series were served in the GMDH and ELM models as an input dataset to forecast the multi-step-ahead GWL. The wavelet based models improved the performances of GMDH and ELM models for multi-step-ahead GWL forecasting. To combine the advantages of different wavelets, a least squares boosting (LSBoost) algorithm was applied. The use of the boosting multi-WA-neural network models provided the best performances for GWL forecasts in comparison with single WA-neural network-based models. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels

    Directory of Open Access Journals (Sweden)

    Uttam Kumar

    2012-09-01

    Full Text Available Signals acquired by sensors in the real world are non-linear combinations, requiring non-linear mixture models to describe the resultant mixture spectra for the endmember’s (pure pixel’s distribution. This communication discusses inferring class fraction through a novel hybrid mixture model (HMM. HMM is a three-step process, where the endmembers are first derived from the images themselves using the N-FINDR algorithm. These endmembers are used by the linear mixture model (LMM in the second step that provides an abundance estimation in a linear fashion. Finally, the abundance values along with the training samples representing the actual ground proportions are fed into neural network based multi-layer perceptron (MLP architecture as input to train the neurons. The neural output further refines the abundance estimates to account for the non-linear nature of the mixing classes of interest. HMM is first implemented and validated on simulated hyper spectral data of 200 bands and subsequently on real time MODIS data with a spatial resolution of 250 m. The results on computer simulated data show that the method gives acceptable results for unmixing pixels with an overall RMSE of 0.0089 ± 0.0022 with LMM and 0.0030 ± 0.0001 with the HMM when compared to actual class proportions. The unmixed MODIS images showed overall RMSE with HMM as 0.0191 ± 0.022 as compared to the LMM output considered alone that had an overall RMSE of 0.2005 ± 0.41, indicating that individual class abundances obtained from HMM are very close to the real observations.

  7. Network-based association of hypoxia-responsive genes with cardiovascular diseases

    Science.gov (United States)

    Wang, Rui-Sheng; Oldham, William M.; Loscalzo, Joseph

    2014-10-01

    Molecular oxygen is indispensable for cellular viability and function. Hypoxia is a stress condition in which oxygen demand exceeds supply. Low cellular oxygen content induces a number of molecular changes to activate regulatory pathways responsible for increasing the oxygen supply and optimizing cellular metabolism under limited oxygen conditions. Hypoxia plays critical roles in the pathobiology of many diseases, such as cancer, heart failure, myocardial ischemia, stroke, and chronic lung diseases. Although the complicated associations between hypoxia and cardiovascular (and cerebrovascular) diseases (CVD) have been recognized for some time, there are few studies that investigate their biological link from a systems biology perspective. In this study, we integrate hypoxia genes, CVD genes, and the human protein interactome in order to explore the relationship between hypoxia and cardiovascular diseases at a systems level. We show that hypoxia genes are much closer to CVD genes in the human protein interactome than that expected by chance. We also find that hypoxia genes play significant bridging roles in connecting different cardiovascular diseases. We construct a hypoxia-CVD bipartite network and find several interesting hypoxia-CVD modules with significant gene ontology similarity. Finally, we show that hypoxia genes tend to have more CVD interactors in the human interactome than in random networks of matching topology. Based on these observations, we can predict novel genes that may be associated with CVD. This network-based association study gives us a broad view of the relationships between hypoxia and cardiovascular diseases and provides new insights into the role of hypoxia in cardiovascular biology.

  8. Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics

    Science.gov (United States)

    2014-01-01

    Background The demand for novel molecularly targeted drugs will continue to rise as we move forward toward the goal of personalizing cancer treatment to the molecular signature of individual tumors. However, the identification of targets and combinations of targets that can be safely and effectively modulated is one of the greatest challenges facing the drug discovery process. A promising approach is to use biological networks to prioritize targets based on their relative positions to one another, a property that affects their ability to maintain network integrity and propagate information-flow. Here, we introduce influence networks and demonstrate how they can be used to generate influence scores as a network-based metric to rank genes as potential drug targets. Results We use this approach to prioritize genes as drug target candidates in a set of ER + breast tumor samples collected during the course of neoadjuvant treatment with the aromatase inhibitor letrozole. We show that influential genes, those with high influence scores, tend to be essential and include a higher proportion of essential genes than those prioritized based on their position (i.e. hubs or bottlenecks) within the same network. Additionally, we show that influential genes represent novel biologically relevant drug targets for the treatment of ER + breast cancers. Moreover, we demonstrate that gene influence differs between untreated tumors and residual tumors that have adapted to drug treatment. In this way, influence scores capture the context-dependent functions of genes and present the opportunity to design combination treatment strategies that take advantage of the tumor adaptation process. Conclusions Influence networks efficiently find essential genes as promising drug targets and combinations of targets to inform the development of molecularly targeted drugs and their use. PMID:24495353

  9. Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer.

    Directory of Open Access Journals (Sweden)

    Matthew Ruffalo

    2015-12-01

    Full Text Available Development of high-throughput monitoring technologies enables interrogation of cancer samples at various levels of cellular activity. Capitalizing on these developments, various public efforts such as The Cancer Genome Atlas (TCGA generate disparate omic data for large patient cohorts. As demonstrated by recent studies, these heterogeneous data sources provide the opportunity to gain insights into the molecular changes that drive cancer pathogenesis and progression. However, these insights are limited by the vast search space and as a result low statistical power to make new discoveries. In this paper, we propose methods for integrating disparate omic data using molecular interaction networks, with a view to gaining mechanistic insights into the relationship between molecular changes at different levels of cellular activity. Namely, we hypothesize that genes that play a role in cancer development and progression may be implicated by neither frequent mutation nor differential expression, and that network-based integration of mutation and differential expression data can reveal these "silent players". For this purpose, we utilize network-propagation algorithms to simulate the information flow in the cell at a sample-specific resolution. We then use the propagated mutation and expression signals to identify genes that are not necessarily mutated or differentially expressed genes, but have an essential role in tumor development and patient outcome. We test the proposed method on breast cancer and glioblastoma multiforme data obtained from TCGA. Our results show that the proposed method can identify important proteins that are not readily revealed by molecular data, providing insights beyond what can be gleaned by analyzing different types of molecular data in isolation.

  10. Sensor Network-Based Localization for Continuous Tracking Applications: Implementation and Performance Evaluation

    Directory of Open Access Journals (Sweden)

    Franco Davoli

    2008-10-01

    Full Text Available The increasing interest in systems able to provide users with immersive services (e.g., domotics, context-aware applications, and immersive distance learning tools has encouraged the development of cheap and effective platforms aimed at tracking objects and people within a certain space. In this context, wireless sensor networks (WSNs can play a very important role, since specialized sensors can be fruitfully exploited in order to generate/receive signals by means of which the WSN can derive the position of nodes joined to the objects to be tracked. The paper presents an original localization platform that exploits a single-hop WSN, based on a Microchip MCU and a Cypress RF device, to track its moving nodes. Specifically, the nodes of the network are divided into three sets: the first set consists of anchor nodes that, according to the commands from the sink (the central node of the WSN, generate ultrasonic pulses. These pulses are received by the second set of (moving nodes, which estimate the pulse time trip and communicate it to the sink. Finally, the last set is constituted by general purpose nodes that collect any kind of data from the surrounding field. The sink gathers all the data, computes the position of moving nodes, and transfers information to external users on the Internet. The algorithms adopted to manage the network and to localize moving nodes are discussed. A working prototype based upon the hardware platform, software, and protocol described in this paper has been deployed and tested, and some results are shown. Simulation results of the localization system are presented to show system scalability.

  11. Survey of Network-Based Approaches to Research of Cardiovascular Diseases

    Directory of Open Access Journals (Sweden)

    Anida Sarajlić

    2014-01-01

    Full Text Available Cardiovascular diseases (CVDs are the leading health problem worldwide. Investigating causes and mechanisms of CVDs calls for an integrative approach that would take into account its complex etiology. Biological networks generated from available data on biomolecular interactions are an excellent platform for understanding interconnectedness of all processes within a living cell, including processes that underlie diseases. Consequently, topology of biological networks has successfully been used for identifying genes, pathways, and modules that govern molecular actions underlying various complex diseases. Here, we review approaches that explore and use relationships between topological properties of biological networks and mechanisms underlying CVDs.

  12. PINTA: a web server for network-based gene prioritization from expression data

    DEFF Research Database (Denmark)

    Nitsch, Daniela; Tranchevent, Léon-Charles; Goncalves, Joana P.

    2011-01-01

    PINTA (available at http://www.esat.kuleuven.be/ pinta/; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of candidate genes based on the differential expression of their neighborhood in a genome-wide protein–protein interaction...... and is available for five species (human, mouse, rat, worm and yeast). As input data, PINTA only requires disease specific expression data, whereas various platforms (e.g. Affymetrix) are supported. As a result, PINTA computes a gene ranking and presents the results as a table that can easily be browsed...

  13. The COMET Sleep Research Platform.

    Science.gov (United States)

    Nichols, Deborah A; DeSalvo, Steven; Miller, Richard A; Jónsson, Darrell; Griffin, Kara S; Hyde, Pamela R; Walsh, James K; Kushida, Clete A

    2014-01-01

    The Comparative Outcomes Management with Electronic Data Technology (COMET) platform is extensible and designed for facilitating multicenter electronic clinical research. Our research goals were the following: (1) to conduct a comparative effectiveness trial (CET) for two obstructive sleep apnea treatments-positive airway pressure versus oral appliance therapy; and (2) to establish a new electronic network infrastructure that would support this study and other clinical research studies. The COMET platform was created to satisfy the needs of CET with a focus on creating a platform that provides comprehensive toolsets, multisite collaboration, and end-to-end data management. The platform also provides medical researchers the ability to visualize and interpret data using business intelligence (BI) tools. COMET is a research platform that is scalable and extensible, and which, in a future version, can accommodate big data sets and enable efficient and effective research across multiple studies and medical specialties. The COMET platform components were designed for an eventual move to a cloud computing infrastructure that enhances sustainability, overall cost effectiveness, and return on investment.

  14. The Social Media Paradox Explained: Comparing Political Parties’ Facebook Strategy Versus Practice

    National Research Council Canada - National Science Library

    Kalsnes, Bente

    2016-01-01

    .... Political parties and individual politicians can use social media to bypass media and communicate directly with voters through websites and particularly social media platforms such as Facebook...

  15. POKEHEAD: An Open Source Interactive Headphone Based HCI Platform

    DEFF Research Database (Denmark)

    Højlund, Marie; Trento, Stefano; Goudarzi, Visda

    2012-01-01

    This paper introduces a novel interactive, human-computer interface and remote social communication system based on an augmented, hi-fidelity audio headphone platform. Specifically, this system- named Pokehead, currently utilizes the DUL embedded open-source accelerometer platform to gather 3-axis......, open source implementation. Our rapid prototype proved to be robust enough to work in performance for demonstration purposes and serves as a working proof of concept. In this paper we provide a technical description of our prototype, illustrate the context and motivation behind the project, and offer...

  16. The big data processing platform for intelligent agriculture

    Science.gov (United States)

    Huang, Jintao; Zhang, Lichen

    2017-08-01

    Big data technology is another popular technology after the Internet of Things and cloud computing. Big data is widely used in many fields such as social platform, e-commerce, and financial analysis and so on. Intelligent agriculture in the course of the operation will produce large amounts of data of complex structure, fully mining the value of these data for the development of agriculture will be very meaningful. This paper proposes an intelligent data processing platform based on Storm and Cassandra to realize the storage and management of big data of intelligent agriculture.

  17. The Social Network Classroom

    Science.gov (United States)

    Bunus, Peter

    Online social networking is an important part in the everyday life of college students. Despite the increasing popularity of online social networking among students and faculty members, its educational benefits are largely untested. This paper presents our experience in using social networking applications and video content distribution websites as a complement of traditional classroom education. In particular, the solution has been based on effective adaptation, extension and integration of Facebook, Twitter, Blogger YouTube and iTunes services for delivering educational material to students on mobile platforms like iPods and 3 rd generation mobile phones. The goals of the proposed educational platform, described in this paper, are to make the learning experience more engaging, to encourage collaborative work and knowledge sharing among students, and to provide an interactive platform for the educators to reach students and deliver lecture material in a totally new way.

  18. Settlement in modern network-based payment infrastructures – description and prototype of the E-Settlement model

    OpenAIRE

    Leinonen, Harry; Lumiala, Veli-Matti; Sarlin, Riku

    2002-01-01

    Payment systems are undergoing rapid and fundamental changes stimulated largely by technological progress especially distributed network technology and real-time processing. Internet and e-commerce will have a major impact on payment systems in the future. User demands and competition will speed up developments. Payment systems will move from conventions that were originally paper-based to truly network-based solutions. This paper presents a solution – E-Settlement – for improving interbank s...

  19. How network-based incubation helps start-up performance: a systematic review against the background of management theories

    OpenAIRE

    Eveleens, Chris P.; Frank J. van Rijnsoever; Niesten, Eva M M I

    2017-01-01

    The literature on how network-based incubation influences the performance of technology-based start-ups has recently grown considerably and provided valuable insights. However, at the same time this literature has become quite fragmented, inconsistently conceptualised, and theoretically underdeveloped. Therefore, this article uses three management theories to structure the literature, improve the theoretical underpinning and develop an agenda for further research. The management theories are ...

  20. From Offline Social Networks to Online Social Networks: Changes in Entrepreneurship

    Directory of Open Access Journals (Sweden)

    Yang SONG

    2015-01-01

    Full Text Available The paper reviewed studies of entrepreneurship based on the emergency of online social networks. Similar to offline social networks, entrepreneurs’ online social networks have their own unique characteristics. We first reviewed the offline network based research on entrepreneurship. Then we reviewed the studies of entrepreneurship in the context of online social networks including those focusing on topics of network structures and network ties. We highlighted online network communities based on the data collected from LinkedIn, Facebook and Twitter. Our research implies that both researcher and entrepreneurs are facing new opportunities due to the emergence of online social networks.

  1. A network-based detection scheme for the jet stream core

    Science.gov (United States)

    Molnos, Sonja; Mamdouh, Tarek; Petri, Stefan; Nocke, Thomas; Weinkauf, Tino; Coumou, Dim

    2017-02-01

    The polar and subtropical jet streams are strong upper-level winds with a crucial influence on weather throughout the Northern Hemisphere midlatitudes. In particular, the polar jet is located between cold arctic air to the north and warmer subtropical air to the south. Strongly meandering states therefore often lead to extreme surface weather. Some algorithms exist which can detect the 2-D (latitude and longitude) jets' core around the hemisphere, but all of them use a minimal threshold to determine the subtropical and polar jet stream. This is particularly problematic for the polar jet stream, whose wind velocities can change rapidly from very weak to very high values and vice versa. We develop a network-based scheme using Dijkstra's shortest-path algorithm to detect the polar and subtropical jet stream core. This algorithm not only considers the commonly used wind strength for core detection but also takes wind direction and climatological latitudinal position into account. Furthermore, it distinguishes between polar and subtropical jet, and between separate and merged jet states. The parameter values of the detection scheme are optimized using simulated annealing and a skill function that accounts for the zonal-mean jet stream position (Rikus, 2015). After the successful optimization process, we apply our scheme to reanalysis data covering 1979-2015 and calculate seasonal-mean probabilistic maps and trends in wind strength and position of jet streams. We present longitudinally defined probability distributions of the positions for both jets for all on the Northern Hemisphere seasons. This shows that winter is characterized by two well-separated jets over Europe and Asia (ca. 20° W to 140° E). In contrast, summer normally has a single merged jet over the western hemisphere but can have both merged and separated jet states in the eastern hemisphere. With this algorithm it is possible to investigate the position of the jets' cores around the hemisphere and it is

  2. Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.

    Science.gov (United States)

    Moni, Mohammad Ali; Liò, Pietro

    2014-10-24

    Infections are often associated to comorbidity that increases the risk of medical conditions which can lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but the comorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather have HIV than diabetes" as life expectancy among diabetes patients is lower than that of HIV. However, HIV has a comorbidity impact on the diabetes. We present a quantitative framework to compare and explore comorbidity between diseases. By using neighbourhood based benchmark and topological methods, we have built comorbidity relationships network based on the OMIM and our identified significant genes. Then based on the gene expression, PPI and signalling pathways data, we investigate the comorbidity association of these 2 infective pathologies with other 7 diseases (heart failure, kidney disorder, breast cancer, neurodegenerative disorders, bone diseases, Type 1 and Type 2 diabetes). Phenotypic association is measured by calculating both the Relative Risk as the quantified measures of comorbidity tendency of two disease pairs and the ϕ-correlation to measure the robustness of the comorbidity associations. The differential gene expression profiling strongly suggests that the response of SARS affected patients seems to be mainly an innate inflammatory response and statistically dysregulates a large number of genes, pathways and PPIs subnetworks in different pathologies such as chronic heart failure (21 genes), breast cancer (16 genes) and bone diseases (11 genes). HIV-1 induces comorbidities relationship with many other diseases, particularly strong correlation with the neurological, cancer, metabolic and immunological diseases. Similar comorbidities risk is observed from the clinical information. Moreover, SARS and HIV infections dysregulate 4 genes (ANXA3, GNS, HIST1H1C, RASA3) and 3 genes (HBA1, TFRC, GHITM) respectively that affect the ageing process. It is notable

  3. Designing Dietary Recommendations Using System Level Interactomics Analysis and Network-Based Inference

    Directory of Open Access Journals (Sweden)

    Tingting Zheng

    2017-09-01

    diet in disease development. Due to the complexity of analyzing the food composition and eating patterns of individuals our in silico analysis, using large-scale gene expression datasets and network-based topological features, may serve as a proof-of-concept in nutritional systems biology for identifying diet-disease relationships and subsequently designing dietary recommendations.

  4. Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment.

    Directory of Open Access Journals (Sweden)

    Wei Zhang

    Full Text Available Cox regression is commonly used to predict the outcome by the time to an event of interest and in addition, identify relevant features for survival analysis in cancer genomics. Due to the high-dimensionality of high-throughput genomic data, existing Cox models trained on any particular dataset usually generalize poorly to other independent datasets. In this paper, we propose a network-based Cox regression model called Net-Cox and applied Net-Cox for a large-scale survival analysis across multiple ovarian cancer datasets. Net-Cox integrates gene network information into the Cox's proportional hazard model to explore the co-expression or functional relation among high-dimensional gene expression features in the gene network. Net-Cox was applied to analyze three independent gene expression datasets including the TCGA ovarian cancer dataset and two other public ovarian cancer datasets. Net-Cox with the network information from gene co-expression or functional relations identified highly consistent signature genes across the three datasets, and because of the better generalization across the datasets, Net-Cox also consistently improved the accuracy of survival prediction over the Cox models regularized by L(2 or L(1. This study focused on analyzing the death and recurrence outcomes in the treatment of ovarian carcinoma to identify signature genes that can more reliably predict the events. The signature genes comprise dense protein-protein interaction subnetworks, enriched by extracellular matrix receptors and modulators or by nuclear signaling components downstream of extracellular signal-regulated kinases. In the laboratory validation of the signature genes, a tumor array experiment by protein staining on an independent patient cohort from Mayo Clinic showed that the protein expression of the signature gene FBN1 is a biomarker significantly associated with the early recurrence after 12 months of the treatment in the ovarian cancer patients who are

  5. Artificial neural networks-based approach to design ARIs using QSAR for diabetes mellitus.

    Science.gov (United States)

    Patra, Jagdish C; Singh, Onkar

    2009-11-30

    In this article, in the first part, we propose an artificial neural network-based intelligent technique to determine the quantitative structure-activity relationship (QSAR) among known aldose reductase inhibitors (ARIs) for diabetes mellitus using two molecular descriptors, i.e., the electronegativity and molar volume of functional groups present in the main ARI lead structure. We have shown that the multilayer perceptron-based model is capable of determining the QSAR quite satisfactorily, with high R-value. Usually, the design of potent ARIs requires the use of complex computer docking and quantum mechanical (QM) steps involving excessive time and human judgement. In the second part of this article, to reduce the design cycle of potent ARIs, we propose a novel ANN technique to eliminate the computer docking and QM steps, to predict the total score. The MLP-based QSAR models obtained in the first part are used to predict the potent ARIs, using the experimental data reported by Hu et al. (J Mol Graph Mod 2006, 24, 244). The proposed ANN-based model can predict the total score with an R-value of 0.88, which indicates that there exists a close match between the predicted and experimental total scores. Using the ANN model, we obtained 71 potent ARIs out of 6.25 million new ARI compounds created by substituting different functional groups at substituting sites of main lead structure of known ARI. Finally, using high bioactivity relationship and total score values, we determined four potential ARIs out of these 71 compounds. Interestingly, these four ARIs include the two potent ARIs reported by Hu et al. (J Mol Graph Mod 2006, 24, 244) who obtained these through the complex computer docking and QM steps. This fact indicates the effectiveness of our proposed ANN-based technique. We suggest these four compounds to be the most promising candidates for ARIs to prevent the diabetic complications and further recommend for wet bench experiments to find their potential against

  6. It’s the Audience: Differences in Social Support Across Social Media

    National Research Council Canada - National Science Library

    Hayes, Rebecca A; Carr, Caleb T; Wohn, Donghee Yvette

    2016-01-01

    Responding to recent calls to transcend social media platforms when examining media effects, and using the social information processing model to predict and explain results, this multi-method study...

  7. Platforms for Innovation and Internationalization

    Directory of Open Access Journals (Sweden)

    Erik Stavnsager Rasmussen

    2017-05-01

    Full Text Available The high-tech global startup has many challenges related to both innovation and internationalization. From a Danish cluster of Welfare Tech firms, eight innovative and international firms were selected and interviewed. Such firms typically have to be agile and operate in virtual networks in almost all parts of their value chains. This article contributes to the understanding of how innovation and internationalization to a great extent are interlinked. The firms have developed a core product or service offering, which the firms often describe as “a platform”. Around the platform, they develop their products and services for new customers and users in new countries. The firms have to sustain a strong focus on the platform while at the same time developing their platform solution for new products, new customers, and new markets. This pivoting makes it possible to use the platform in a new context but is highly demanding for the firms. They need to be extremely agile and fast-moving but at the same time still to have a focus on the core of the firm: the platform.

  8. New offshore platform in the Mexican Gulf

    Energy Technology Data Exchange (ETDEWEB)

    Beisel, T.

    1982-04-01

    After a construction period of only 10 months, the second steel Offshore platform was recently completed in the Mexican Gulf. The pattern for this structure was the Cognac platform. The erection of the new platform, called the 'Cerveza' platform, is described in the article.

  9. Understanding Social Media Logic

    Directory of Open Access Journals (Sweden)

    José van Dijck

    2013-08-01

    Full Text Available Over the past decade, social media platforms have penetrated deeply into the mech­anics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines. Far from being neutral platforms for everyone, social media have changed the conditions and rules of social interaction. In this article, we examine the intricate dynamic between social media platforms, mass media, users, and social institutions by calling attention to social media logic—the norms, strategies, mechanisms, and economies—underpin­ning its dynamics. This logic will be considered in light of what has been identified as mass me­dia logic, which has helped spread the media's powerful discourse outside its institutional boundaries. Theorizing social media logic, we identify four grounding principles—programmabil­ity, popularity, connectivity, and datafication—and argue that these principles become increas­ingly entangled with mass media logic. The logic of social media, rooted in these grounding principles and strategies, is gradually invading all areas of public life. Besides print news and broadcasting, it also affects law and order, social activism, politics, and so forth. Therefore, its sustaining logic and widespread dissemination deserve to be scrutinized in detail in order to better understand its impact in various domains. Concentrating on the tactics and strategies at work in social media logic, we reassess the constellation of power relationships in which social practices unfold, raising questions such as: How does social media logic modify or enhance ex­isting mass media logic? And how is this new media logic exported beyond the boundaries of (social or mass media proper? The underlying principles, tactics, and strategies may be relat­ively simple to identify, but it is much harder to map the complex connections between plat­forms that distribute this logic: users that employ them, technologies that

  10. Neural network-based survey analysis of risk management practices in new product development

    DEFF Research Database (Denmark)

    Kampianakis, Andreas N.; Oehmen, Josef

    2017-01-01

    The current study investigates the applicability of Artificial Neural Networks (ANNs) to analyse survey data on the effectiveness of risk management practices in product development (PD) projects, and its ability to forecast project outcomes. Moreover, this study presents the relations between risk...... Neural Networks. Dataset used is a filtered survey of 291 product development programs. Answers of this survey are used as training input and target output, in pattern recognition two-layer feed forward networks, using various transfer functions. Using this method, relations among 6 project practices...... and 13 outcome metrics were revealed. Results of this analysis are compared with existent results made through statistical analysis in prior work of one of the authors. Future investigation is needed in order to tackle the lack of data and create an easy to use platform for industrial use....

  11. WiSPH: A Wireless Sensor Network-Based Home Care Monitoring System

    Directory of Open Access Journals (Sweden)

    Pedro Magaña-Espinoza

    2014-04-01

    Full Text Available This paper presents a system based on WSN technology capable of monitoring heart rate and the rate of motion of seniors within their homes. The system is capable of remotely alerting specialists, caretakers or family members via a smartphone of rapid physiological changes due to falls, tachycardia or bradycardia. This work was carried out using our workgroup’s WiSe platform, which we previously developed for use in WSNs. The proposed WSN architecture is flexible, allowing for greater scalability to better allow event-based monitoring. The architecture also provides security mechanisms to assure that the monitored and/or stored data can only be accessed by authorized individuals or devices. The aforementioned characteristics provide the network versatility and solidity required for use in health applications.

  12. Managing Emergencies Optimally Using a Random Neural Network-Based Algorithm

    Directory of Open Access Journals (Sweden)

    Qing Han

    2013-10-01

    Full Text Available Emergency rescues require that first responders provide support to evacuate injured and other civilians who are obstructed by the hazards. In this case, the emergency personnel can take actions strategically in order to rescue people maximally, efficiently and quickly. The paper studies the effectiveness of a random neural network (RNN-based task assignment algorithm involving optimally matching emergency personnel and injured civilians, so that the emergency personnel can aid trapped people to move towards evacuation exits in real-time. The evaluations are run on a decision support evacuation system using the Distributed Building Evacuation Simulator (DBES multi-agent platform in various emergency scenarios. The simulation results indicate that the RNN-based task assignment algorithm provides a near-optimal solution to resource allocation problems, which avoids resource wastage and improves the efficiency of the emergency rescue process.

  13. Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

    Directory of Open Access Journals (Sweden)

    Si-hua Chen

    2014-01-01

    Full Text Available As platform based on users’ relationship to acquire, share, and propagate knowledge, Wechat develops very rapidly and becomes an important channel to spread knowledge. This new way to propagate knowledge is quite different from the traditional media way which enables knowledge to be spread surprisingly in Wechat. Based on complex network theory and the analysis of the factors which influence the knowledge propagation in Wechat, this paper summarizes the behavior preferences of Wechat users in knowledge propagation and establishes a Wechat knowledge propagation model. By the simulation experiment, this paper tests the model established and finds some important thresholds in knowledge propagation in Wechat. The findings are valuable for further studying the knowledge propagation in Wechat and provide theoretical proof for forecasting the scale and influence of knowledge propagation.

  14. When the project becomes method: New perspectives for network-based socio-educational research

    Directory of Open Access Journals (Sweden)

    José Antonio Caride Gómez

    2015-05-01

    Full Text Available This paper centers its arguments in the epistemological shift that the so-called mixed methods have provided the Social and Educational Sciences with. It is not just as a way for widening the expectations they generate in socio-educational action and reflection but also in the change processes and social transformation. Based on these assumptions it is introduced the Network of Research Groups OcioGune and the coordinated project “From Educational to Social Times: the Daily Building of the Young Condition into a Network Society” (RESORTES. A practical realization of the potentialities inherent to collaborative work and the multidisciplinary approach provided by shared knowledge: a way, among others, to extend the frontiers of knowledge and its transfer to society by using mixed research methodologies.

  15. OnCampus: a mobile platform towards a smart campus.

    Science.gov (United States)

    Dong, Xin; Kong, Xiangjie; Zhang, Fulin; Chen, Zhen; Kang, Jialiang

    2016-01-01

    An increasing number of researchers and practitioners are working to develop smart cities. Considerable attention has been paid to the college campus as it is an important component of smart cities. Consequently, the question of how to construct a smart campus has become a topical one. Here, we propose a scheme that can facilitate the construction of a smart and friendly campus. We primarily focus on three aspects of smart campuses. These are: the formation of social circles based on interests mining, the provision of educational guidance based on emotion analysis of information posted on a platform, and development of a secondary trading platform aimed at optimizing the allocation of campus resources. Based on these objectives, we designed and implemented a mobile platform called OnCampus as the first step towards the development of a smart campus that has been introduced in some colleges. We found that OnCampus could successfully accomplish the three above mentioned functions of a smart campus.

  16. Towards a Theory of Socially Shared Consumption

    DEFF Research Database (Denmark)

    Kunst, Katrine; Vatrapu, Ravi

    2014-01-01

    Recent years have seen an increased sharing of consumptive practices, experiences and evaluations on social media platforms. Such socially shared consumption can range from electronic word-of-mouth to formal online reviews as well as automated product mentions facilitated by social media applicat......Recent years have seen an increased sharing of consumptive practices, experiences and evaluations on social media platforms. Such socially shared consumption can range from electronic word-of-mouth to formal online reviews as well as automated product mentions facilitated by social media...... understanding and analysing the growing phenomenon of consumers’ social sharing of consumption on social media platforms The taxonomy consists of five dimensions of socially shared consumption: Phase, Automation, Formality, Expressiveness, and Sentiment. The primary contributions of this research...

  17. Cerveza platforms offer economic options

    Energy Technology Data Exchange (ETDEWEB)

    Leblanc, L.A.

    1982-08-01

    Two single-piece platforms, Cerveze and Cerveza Ligera, were installed by Union Oil Co. in 925-935 ft of water. The technology and equipment used for the two platforms can be used for units to a depth of 1,400 ft in mild climates and to 1,000 ft in more critical weather areas such as the North Sea. The significant improvements in design and procedures in the construction and installation of the Cerveza Ligera platform are: (1) four leg structure, as opposed to eight, requiring less steel; (2) simplified fabrication; and (3) quicker installation. The most significant area of improvement in the Ligera project compared with Cerveza was in communications. Communications between naval architects and onshore launch foremen during loadout, and between surveyors and tug captains during positioning, are cited as examples.

  18. Towards Building a Blog Preservation Platform

    CERN Document Server

    Kasioumis, Nikos; Kalb, Hendrik

    2014-01-01

    Social media content and user participation has increased dramatically since the advent of Web 2.0. Blogs have become relevant to every aspect of business and personal life. Nevertheless, we do not have the right tools to aggregate and preserve blog content correctly, as well as to manage blog archives effectively. Given the rising importance of blogs, it is crucial to build systems to facilitate blog preservation, safeguarding an essential part of our heritage that will prove valuable for current and future generations. In this paper, we present our work in progress towards building a novel blog preservation platform featuring robust digital preservation, management and dissemination facilities for blogs. This work is part of the BlogForever project which is aiming to make an impact to the theory and practice of blog preservation by creating guidelines and software that any individual or organization could use to preserve their blogs.

  19. The Social Commerce System

    Directory of Open Access Journals (Sweden)

    Dubovyk Tetiana V.

    2017-03-01

    Full Text Available The social commerce is a relatively new phenomenon, found in the little researched direction of trade. Research results by the authors have provided to systematize the views on the concept of «social commerce», characterize the social commerce system, propose measures to develop a social commerce strategy. The authors have defined the social commerce as expansion of e-commerce in the social networks on the Internet, in which social factors are significant, and consumers use the right to create content through the media via forums, ratings, reviews, and recommendations on different platforms. Enterprises are advised to use social tools to perform social interaction with consumers in social networks, create a social climate in view of the social support on the Web. The authors have proposed the concept of «social commerce system», structure of which contains the following elements: individuality of consumer, social communications, social communities, e-commerce; defined the multidimensional attributes that are naturally associated with all four elements of the social commerce. They cover the quality of information, system quality, quality of service, convenience and ease-of-use, payment mechanism.

  20. Practice network-based care management for patients with type 2 diabetes and multiple comorbidities (GEDIMAplus): study protocol for a randomized controlled trial.

    Science.gov (United States)

    Bozorgmehr, Kayvan; Szecsenyi, Joachim; Ose, Dominik; Besier, Werner; Mayer, Manfred; Krisam, Johannes; Jacke, Christian O; Salize, Hans-Joachim; Brandner, Ralf; Schmitt, Sandra; Kiel, Marion; Kamradt, Martina; Freund, Tobias

    2014-06-21

    Care management interventions in the German health-care system have been evaluated with promising results, but further research is necessary to explore their full potential in the context of multi-morbidity. Our aim in this trial is to assess the efficacy of a primary care practice network-based care management intervention in improving self-care behaviour among patients with type 2 diabetes mellitus and multiple co-occurring chronic conditions. The study is designed as a prospective, 18-month, multicentre, investigator-blinded, two-arm, open-label, individual-level, randomized parallel-group superiority trial. We will enrol 582 patients with type 2 diabetes mellitus and at least two severe chronic conditions and one informal caregiver per patient. Data will be collected at baseline (T0), at the primary endpoint after 9 months (T1) and at follow-up after 18 months (T2). The primary outcome will be the differences between the intervention and control groups in changes of diabetes-related self-care behaviours from baseline to T1 using a German version of the revised Summary of Diabetes Self-Care Activities (SDSCA-G). The secondary outcomes will be the differences between the intervention and control groups in: changes in scores on the SDSCA-G subscales, glycosylated haemoglobin A level, health-related quality of life, self-efficacy, differences in (severe) symptomatic hypoglycaemia, cost-effectiveness and financial family burden. The intervention will be delivered by trained health-care assistants as an add-on to usual care and will consist of three main elements: (1) three home visits, including structured assessment of medical and social needs; (2) 24 structured telephone monitoring contacts; and (3) self-monitoring of blood glucose levels after T1 in 3-month intervals. The control group will receive usual care. The confirmatory primary analysis will be performed following the intention-to-treat (ITT) principle. The efficacy of the intervention will be quantified