WorldWideScience

Sample records for sustainability information network

  1. Sustainable wireless networks

    CERN Document Server

    Zheng, Zhongming; Xuemin

    2013-01-01

    This brief focuses on network planning and resource allocation by jointly considering cost and energy sustainability in wireless networks with sustainable energy. The characteristics of green energy and investigating existing energy-efficient green approaches for wireless networks with sustainable energy is covered in the first part of this brief. The book then addresses the random availability and capacity of the energy supply. The authors explore how to maximize the energy sustainability of the network and minimize the failure probability that the mesh access points (APs) could deplete their

  2. Microsensing networks for sustainable cities

    CERN Document Server

    Lambrechts, Johannes

    2016-01-01

    This book explores the microsensing technologies and systems now available to monitor the quality of air and water within the urban environment and examines their role in the creation of sustainable cities against the background of the challenges posed by rapid urbanization. The opening section addresses the theoretical and conceptual background of microsensing networks. The coverage includes detailed description of microsensors, supported by design-specific equations, and clear explanation of the ways in which devices that harvest energy from ambient sources can detect and quantify pollution. The practical application of such systems in addressing environmental impacts within cities and in sustainable urban planning is then discussed with the aid of case studies in developing countries. The book will be of interest to all who wish to understand the benefits of microsensing networks in promoting sustainable cities through better delivery of information on health hazards and improved provision of data to envir...

  3. An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network

    Energy Technology Data Exchange (ETDEWEB)

    Dong, Bing; Lam, Khee Poh; Zhang, Rui; Chiou, Yun-Shang [Center for Building Performance and Diagnostics, Carnegie Mellon University, Pittsburgh, PA 15213 (United States); Andrews, Burton; Hoeynck, Michael; Benitez, Diego [Research and Technology Center, Robert BOSCH LLC, Pittsburgh, PA 15212 (United States)

    2010-07-15

    This paper describes a large-scale wireless and wired environmental sensor network test-bed and its application to occupancy detection in an open-plan office building. Detection of occupant presence has been used extensively in built environments for applications such as demand-controlled ventilation and security; however, the ability to discern the actual number of people in a room is beyond the scope of current sensing techniques. To address this problem, a complex sensor network is deployed in the Robert L. Preger Intelligent Workplace comprising a wireless ambient-sensing system, a wired carbon dioxide sensing system, and a wired indoor air quality sensing system. A wired camera network is implemented as well for establishing true occupancy levels to be used as ground truth information for deriving algorithmic relationships with the environment conditions. To our knowledge, this extensive and diverse ambient-sensing infrastructure of the ITEST setup as well as the continuous data-collection capability is unprecedented. Final results indicate that there are significant correlations between measured environmental conditions and occupancy status. An average of 73% accuracy on the occupancy number detection was achieved by Hidden Markov Models during testing periods. This paper serves as an exploration to the research of ITEST for occupancy detection in offices. In addition, its utility extends to a wide variety of other building technology research areas such as human-centered environmental control, security, energy efficient and sustainable green buildings. (author)

  4. Mobile Virtual Network Operator Information Systems for Increased Sustainability in Utilities

    DEFF Research Database (Denmark)

    Joensen, Hallur Leivsgard; Tambo, Torben

    2011-01-01

    In today’s research on creating a more sustainable energy utilisation in society, much effort is directed towards producing or consuming energy. This focus tends to overlook the fact that energy needs to be sold and distributed to the consumers in increasingly open marketplaces where the marketin...

  5. The influence of the chain and network information and communication structure on sustainable business development

    NARCIS (Netherlands)

    Bremmers, H.J.; Haverkamp, D.J.; Omta, S.W.F.

    2005-01-01

    This article links the public-private information and communication structure (IC-structure) and Ajzen¿s model of planned behaviour to explain the development of environmental management systems (EMSs). The structure of the IC-system, especially the public-private information exchange, can influence

  6. Managing Sustainable Information Systems Development

    DEFF Research Database (Denmark)

    Kautz, Karlheinz

    2013-01-01

    Sustainable information systems development (ISD) in the context of this paper is not about products that support sustainability at large with its environmental, economic and social dimensions and little about the development of sustainable products, which are both without doubt important topics....... This paper is about a prerequisite for such products, namely, a sustainable ISD process, a process which exhibits reasonable and responsible stewardship and utilisation of the existing resources for ISD—people and information in the context of scope, time/schedule, budget/cost, quality and risk....

  7. Overlay networks toward information networking

    CERN Document Server

    Tarkoma, Sasu

    2010-01-01

    With their ability to solve problems in massive information distribution and processing, while keeping scaling costs low, overlay systems represent a rapidly growing area of R&D with important implications for the evolution of Internet architecture. Inspired by the author's articles on content based routing, Overlay Networks: Toward Information Networking provides a complete introduction to overlay networks. Examining what they are and what kind of structures they require, the text covers the key structures, protocols, and algorithms used in overlay networks. It reviews the current state of th

  8. Sustainability of scholarly information

    CERN Document Server

    Chowdhury, G G

    2015-01-01

    Professor Gobinda Chowdhury BSc Hons, MSc, PhD, FCLIP is Professor in Information Science at iSchool@northumbria, and Head of the Department of Mathematics and Information Sciences at Northumbria University. Before joining Northumbria University he was a Professor and Director of the Centre for Information and Knowledge Management at the University of Technology Sydney, Australia. For over 25 years he has worked as an academic and researcher in information science in different parts of the world including Asia, Africa, Europe and Australia. For the past few years he has been actively involved

  9. Congenital Heart Information Network

    Science.gov (United States)

    ... heart defects. Important Notice The Congenital Heart Information Network website is temporarily out of service. Please join ... and Uwe Baemayr for The Congenital Heart Information Network Exempt organization under Section 501(c)3. Copyright © ...

  10. Information network architectures

    Science.gov (United States)

    Murray, N. D.

    1985-01-01

    Graphs, charts, diagrams and outlines of information relative to information network architectures for advanced aerospace missions, such as the Space Station, are presented. Local area information networks are considered a likely technology solution. The principle needs for the network are listed.

  11. Green networking and communications ICT for sustainability

    CERN Document Server

    Khan, Shafiullah

    2013-01-01

    Although the information and communication technology (ICT) industry accounted for only 2 percent of global greenhouse gas emissions in 2007, the explosive increase in data traffic brought about by a rapidly growing user base of more than a billion wireless subscribers is expected to nearly double that number by 2020. It is clear that now is the time to rethink how we design and build our networks.Green Networking and Communications: ICT for Sustainability brings together leading academic and industrial researchers from around the world to discuss emerging developments in energy-efficient netw

  12. Information technology for sustainable development

    DEFF Research Database (Denmark)

    Holgaard, Jette Egelund; Guerra, Aida; Knoche, Hendrik

    2013-01-01

    In this paper we present different strategies to integrate concerns about sustainability into Information and Communication Technology (ITC) projects by use of problem based learning (PBL) methodology. In alignment with PBL we introduce two different models for problem analysis where students move...... implications of the different approaches to integrate sustainability. We conclude that students indeed chose divers strategies to integrate sustainability into their projects and those diverse strategies are indeed needed to obtain student engagement. Furthermore, the introduction of an open-ended thematic...

  13. Networks as Tools for Sustainable Urban Development

    DEFF Research Database (Denmark)

    Jensen, Jesper Ole; Tollin, Nicola

    Due to the increasing number of networks related to sustainable development (SUD) the paper focuses on understanding in which way networks can be considered useful tools for sustainable urban development, taking particularly into consideration the networks potential of spreading innovative policies......, strategies and actions. There has been little theoretically development on the subject. In practice networks for sustainable development can be seen as combining different theoretical approaches to networks, including governance, urban competition and innovation. To give a picture of the variety...... of sustainable networks, we present different examples of networks, operating at different geographical scales, from global to local, with different missions (organizational, political, technical), fields (lobbying, learning, branding) and its size. The potentials and challenges related to sustainable networks...

  14. Networks as Tools for Urban Sustainability

    DEFF Research Database (Denmark)

    Jensen, Jesper Ole; Tollin, Nicola

    2004-01-01

    Due to the increasing number of networks related to sustainable development (SUD) the paper focuses on understanding in which way networks can be considered useful tools for sustainable urban development, taking particularly into consideration the networks potential of spreading innovative policies......, strategies and actions. There has been little theoretically development on the subject. In practice networks for sustainable development can be seen as combining different theoretical approaches to networks, including governance, urban competition and innovation. To give a picture of the variety...... of sustainable networks, we present different examples of networks, operating at different geographical scales, from global to local, with different missions (organizational, political, technical), fields (lobbying, learning, branding) and its size. The potentials and challenges related to sustainable networks...

  15. 2007 Information and Communication Network Among Natural ...

    African Journals Online (AJOL)

    ezra

    Introduction. Generally, scientist need information about current research and developmental activities and their socioeconomic implications in their fields of ... network in science. The establishment of sustainable information network opens up the horizon of information sharing wider. Garvey (1980) observed that a.

  16. Adaptive Networks: the Governance for Sustainable Development

    NARCIS (Netherlands)

    S.G. Nooteboom (Sibout)

    2006-01-01

    textabstractIn this book, I reconstruct how policy makers, working together in what I term adaptive networks, have enabled a breakthrough in thinking about sustainable mobility in certain policy circles. I define the conduct of leading actors in these adaptive networks as sustainable change

  17. International Symposium on Computing and Network Sustainability

    CERN Document Server

    Akashe, Shyam

    2017-01-01

    The book is compilation of technical papers presented at International Research Symposium on Computing and Network Sustainability (IRSCNS 2016) held in Goa, India on 1st and 2nd July 2016. The areas covered in the book are sustainable computing and security, sustainable systems and technologies, sustainable methodologies and applications, sustainable networks applications and solutions, user-centered services and systems and mobile data management. The novel and recent technologies presented in the book are going to be helpful for researchers and industries in their advanced works.

  18. Information Theory of Networks

    Directory of Open Access Journals (Sweden)

    Matthias Dehmer

    2011-11-01

    Full Text Available The paper puts the emphasis on surveying information-theoretic network measures for analyzing the structure of networks. In order to apply the quantities interdisciplinarily, we also discuss some of their properties such as their structural interpretation and uniqueness.

  19. NIDDK Information Network (DKnet)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The NIDDK Information Network serves the needs of basic and clinical investigators by providing seamless access to large pools of data relevant to the mission of...

  20. Network management and sustainable safety.

    NARCIS (Netherlands)

    2007-01-01

    There is a trend at the regional level to no longer concentrate traffic on motorways only, but to divert some of it to the secondary road network. This trend is known as Network Management. Because the secondary road network is less safe than the main road network, this strategy will inevitably

  1. Governance innovation networks for sustainable tuna

    NARCIS (Netherlands)

    Miller, A.M.M.

    2014-01-01

    Governance Innovation Networks for Sustainable Tuna Alice M.M. Miller Tuna fisheries are among the most highly capitalised and valuable fisheries in the world and their exploitation will continue for the foreseeable future. This means the sustainability of tuna stocks is a pressing

  2. Incorporating the dimensions of sustainability into information ...

    African Journals Online (AJOL)

    Although research has been done on sustainability in project management, little or no research has been conducted on sustainability within the domain of information system (IS) projects. This article reports on whether IS projects are executed sustainably and whether they contribute to organisational sustainability.

  3. Sensor networks for sustainable development

    CERN Document Server

    Ilyas, Mohammad; Alwakeel, Mohammed M; Aggoune, el-Hadi M

    2014-01-01

    ContentsPreface AcknowledgmentsEditorsContributorsAgricultureA Review of Applications of Sensor Networks in Smart AgricultureAhsan AbdullahWireless Sensor Networks with Dynamic Nodes for Water and Crop Health Managementel-Hadi M. Aggoune, Sami S. Alwakeel, Mohammed M. Alwakeel, and Mohammad Ammad-UddinEnvironmentScaling Smart EnvironmentsDiane J. CookLocalization of a Wireless Sensor Network for Environment Monitoring using Maximum Likelihood Estimation with Negative

  4. Finding Sustainability Indicators for Information System Assessment

    OpenAIRE

    Nyström, Tobias; Mustaquim, Moyen

    2015-01-01

    Nowadays, the importance of sustainability is persuading novel shifts in everyday life. This diversity makes it significant and challenging for sustainability to be quantified and measured. While the existence of perfect sustainability indicators is relatively unreasonable, they have important pragmatic roles in quantification and measurement by bridging sustainability's three pillars. Information system (IS) and sustainability are popular research areas, which clearly reflect the divergent a...

  5. Eco-sustainable routing in optical networks

    DEFF Research Database (Denmark)

    Ricciardi, Sergio; Wang, Jiayuan; Palmieri, Francesco

    2013-01-01

    infrastructures are now widely recognized to play a fundamental role in the emission of green-house gases (GHG) in the at- mosphere, signicantly aecting the environmental sustainability of new evolutions in network architectures as well as technological developments in communication devices. In this paper......It is quite easy to foresee that in the next years, the future generation ultra-high speed network infrastructures and equipments will be no longer constrained only by their pure transport capacity, but also by their energy consumption costs and environmental eects. In particular, large network...

  6. Scholarly Information Network

    Science.gov (United States)

    Ginsparg, Paul

    I review the background and some recent trends of a particular scholarly information network, arXiv.org, and discuss some of its implications for new scholarly publication models. If we were to start from scratch today to design a quality-controlled archive and distribution system for scientific and technical information, it could take a very different form from what has evolved in the past decade from pre-existing print infrastructure. Near-term advances in automated classification systems, authoring tools, and document formats will facilitate efficient datamining and long-term archival stability, and I discuss how these could provide not only more efficient means of accessing and navigating the information, but also more cost-effective means of authentication and quality control. Finally, I illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its network of practitioners.

  7. Agricultural informational flow in informal communication networks ...

    African Journals Online (AJOL)

    Despite the rapid growth in the use of modern communication media to improve access to agricultural information, local information networks remain an important means of communication among rural folk. This study examined informal communication networks of rural farmers in the Ahafo Ano south district of Ghana to ...

  8. The Ethical Role of Information in Sustainable Communities.

    Science.gov (United States)

    Lockway, Larry

    1995-01-01

    Discussion of sustainable communities, or sustainable development, focuses on the ethical role of information in fostering sustainable environmental development. Topics include background information, developments in information technology, permaculture in the area of horticulture and information ethics, information ethics models, hardware…

  9. Networks for Innovation for Sustainable Tourism

    DEFF Research Database (Denmark)

    Liburd, Janne J.; Carlsen, Jack; Edwards, Deborah

    the transformation toward sustainability through innovation. Networks for Innovation in Sustainable Tourism assembles ten case studies of large and small enterprises and destinations in developed and developing nations that are pursuing innovative practices that will enhance the sustainability of their operations......Innovation is key to responding to the future challenges that confront all sectors of society and the economy. Within tourism, there are numerous corporations and destinations around the world that are responding to the challenges posed by ecological, social, cultural and economic forces and making....... The cases have been prepared for use in research and teaching of innovation, and the analysis and case notes are designed to facilitate discussion and further investigation of innovation, not only in tourism, but in other economic sectors as well....

  10. Information propagation on modular networks

    Science.gov (United States)

    Huang, Liang; Park, Kwangho; Lai, Ying-Cheng

    2006-03-01

    Networks with a community (or modular) structure underlie many social and biological phenomena. In such a network individuals tend to form sparsely linked local communities, each having dense internal connections. We investigate the dynamics of information propagation on modular networks by using a three-state epidemic model with a unit spreading rate (i.e., the probability for a susceptible individual to be “infected” with the information is one). We find a surprising, resonancelike phenomenon: the information lifetime on the network can be maximized by the number of modules. The result can be useful for optimizing or controlling information spread on social or biological networks.

  11. Extracting information from multiplex networks.

    Science.gov (United States)

    Iacovacci, Jacopo; Bianconi, Ginestra

    2016-06-01

    Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well. Extending our ability to analyze complex networks to multiplex network structures increases greatly the level of information that is possible to extract from big data. For these reasons, characterizing the centrality of nodes in multiplex networks and finding new ways to solve challenging inference problems defined on multiplex networks are fundamental questions of network science. In this paper, we discuss the relevance of the Multiplex PageRank algorithm for measuring the centrality of nodes in multilayer networks and we characterize the utility of the recently introduced indicator function Θ̃(S) for describing their mesoscale organization and community structure. As working examples for studying these measures, we consider three multiplex network datasets coming for social science.

  12. Community Health Global Network and Sustainable Development

    Directory of Open Access Journals (Sweden)

    Rebekah Young

    2016-01-01

    Full Text Available With the achievements, failures and passing of the Millennium Development Goals (MDG, the world has turned its eyes to the Sustainable Development Goals (SDG, designed to foster sustainable social, economic and environmental development over the next 15 years.(1 Community-led initiatives are increasingly being recognised as playing a key role in realising sustainable community development and in the aspirations of universal healthcare.(2 In many parts of the world, faith-based organisations are some of the main players in community-led development and health care.(3 Community Health Global Network (CHGN creates links between organisations, with the purpose being to encourage communities to recognise their assets and abilities, identify shared concerns and discover solutions together, in order to define and lead their futures in sustainable ways.(4 CHGN has facilitated the development of collaborative groups of health and development initiatives called ‘Clusters’ in several countries including India, Bangladesh, Kenya, Tanzania, Zambia and Myanmar. In March 2016 these Clusters met together in an International Forum, to share learnings, experiences, challenges, achievements and to encourage one another. Discussions held throughout the forum suggest that the CHGN model is helping to promote effective, sustainable development and health care provision on both a local and a global scale.

  13. Strategic Networks for Sustainable Tourism Development

    Directory of Open Access Journals (Sweden)

    Ivelyna Krasteva Yoveva

    2014-12-01

    Full Text Available This paper proposes an innovative approach towards introduction of an up-to-date sustainable development philosophy founded on the principles of combination and balance of common and individual interests on multilateral perspective, i.e. individuals vs. organizations, public groups vs. governmental authorities, industry vs. macroeconomic development, nation states vs. international regional development etc. The optimal implementation of such an approach is imminently dependent on an authentic self-awareness of own identity, values, purposes and motivation for positive contribution to the common well-being. The author’s arguments are based on the conviction that when more individuals and organizations harness deeper understanding of the mutual benefits within their operations area and undertake collaborative efforts to solve common problem their steadfast long-term development may be secured even in times of social-economic-political-eco-etc. crises and within a dynamically changing environment.Main purpose of current article is the concentration of the research on looking for and applying the principles of consistency, exchange of good collaborative practices and consequently strategic and operational utilization of the synergy effect, systems thinking and the holistic approach. Collaborative efforts would lead to greater effectiveness and optimization that satisfies individual and common interests in multiple environmental dimensions. The study aims to analyze the potential of a new network paradigm for provision of effectively applied strategies within the contemporary sustainable development context.Some good practices within the area of joint development of sustainable strategic networks in tourism industry in Bulgaria are presented. A case study of a culinary and hospitality cluster recently established in the Dobrudzha region is about to demonstrates the strategic network viability and sustainability in a contemporary agricultural

  14. Measuring information networks

    Indian Academy of Sciences (India)

    of governance (CEO) defined by company executives in the USA where two CEOs are connected by a link if they are members of the same board [9]. One sees that IS > IS(random) for most networks, except for the fly network. Thus most networks have a topology that tends to hide nodes. In fact this can be quantified.

  15. Information ethics on social networks

    OpenAIRE

    Harňaková, Soňa

    2014-01-01

    This thesis highlights the benefits and risks arising from using of social networks and assess if social networks are following ethical principles. The first part of the thesis deals with information, ethics and information ethics, which arises from the needs to apply ethical principles in the field of information processing. The second chapter of this thesis outlines the basic aspects of social networks and their impact on society, describes the key advantages and disadvantages associated wi...

  16. Information network and the right to information

    Directory of Open Access Journals (Sweden)

    Juliana Fachin

    2015-09-01

    Full Text Available This reflection presents the question of the right to information on social networks, based on interdisciplinary authors in the fields of sociology, communication, administration and information. Points the public sphere and their actions, as well as social representation and access to information available on social networks. Reflects on the right to public opinion in the mobilization for alternative ways to access the information. The discussion permeates government action, the social demands with regard to the informational access and market influence in decision made by government public actions.

  17. Information networks and links

    Science.gov (United States)

    Davydov, G. B.

    The basic operating principles of a telecommunications network are described. The technical characteristics of three types of telecommunications network are discussed, including voice-based (telephone) systems; television networks; and data (digital) communications. Among the specific transmission and channeling systems described are: satellite relays; microwae relays; ground based microwave relays; and pulse code modulation; (PCM). The integration of world wide systems for coordinating voice data, and video communications is also discussed.

  18. Information transmission on hybrid networks

    Science.gov (United States)

    Chen, Rongbin; Cui, Wei; Pu, Cunlai; Li, Jie; Ji, Bo; Gakis, Konstantinos; Pardalos, Panos M.

    2018-01-01

    Many real-world communication networks often have hybrid nature with both fixed nodes and moving modes, such as the mobile phone networks mainly composed of fixed base stations and mobile phones. In this paper, we discuss the information transmission process on the hybrid networks with both fixed and mobile nodes. The fixed nodes (base stations) are connected as a spatial lattice on the plane forming the information-carrying backbone, while the mobile nodes (users), which are the sources and destinations of information packets, connect to their current nearest fixed nodes respectively to deliver and receive information packets. We observe the phase transition of traffic load in the hybrid network when the packet generation rate goes from below and then above a critical value, which measures the network capacity of packets delivery. We obtain the optimal speed of moving nodes leading to the maximum network capacity. We further improve the network capacity by rewiring the fixed nodes and by considering the current load of fixed nodes during packets transmission. Our purpose is to optimize the network capacity of hybrid networks from the perspective of network science, and provide some insights for the construction of future communication infrastructures.

  19. Information Horizons in Complex Networks

    Science.gov (United States)

    Sneppen, Kim

    2005-03-01

    We investigate how the structure constrain specific communication in social-, man-made and biological networks. We find that human networks of governance and collaboration are predictable on teat-a-teat level, reflecting well defined pathways, but globally inefficient (1). In contrast, the Internet tends to have better overall communication abilities, more alternative pathways, and is therefore more robust. Between these extremes are the molecular network of living organisms. Further, for most real world networks we find that communication ability is favored by topology on small distances, but disfavored at larger distances (2,3,4). We discuss the topological implications in terms of modularity and the positioning of hubs in the networks (5,6). Finally we introduce some simple models which demonstarte how communication may shape the structure of in particular man made networks (7,8). 1) K. Sneppen, A. Trusina, M. Rosvall (2004). Hide and seek on complex networks [cond-mat/0407055] 2) M. Rosvall, A. Trusina, P. Minnhagen and K. Sneppen (2004). Networks and Cities: An Information Perspective [cond-mat/0407054]. In PRL. 3) A. Trusina, M. Rosvall, K. Sneppen (2004). Information Horizons in Networks. [cond-mat/0412064] 4) M. Rosvall, P. Minnhagen, K. Sneppen (2004). Navigating Networks with Limited Information. [cond-mat/0412051] 5) S. Maslov and K. Sneppen (2002). Specificity and stability in topology of protein networks Science 296, 910-913 [cond-mat/0205380]. 6) A. Trusina, S. Maslov, P. Minnhagen, K. Sneppen Hierarchy Measures in Complex Networks. Phys. Rev. Lett. 92, 178702 [cond-mat/0308339]. 7) M. Rosvall and K. Sneppen (2003). Modeling Dynamics of Information Networks. Phys. Rev. Lett. 91, 178701 [cond-mat/0308399]. 8) B-J. Kim, A. Trusina, P. Minnhagen, K. Sneppen (2003). Self Organized Scale-Free Networks from Merging and Regeneration. nlin.AO/0403006. In European Journal of Physics.

  20. Measuring sustainable accessibility potential using the mobility infrastructure's network configuration

    NARCIS (Netherlands)

    Gil, J.; Read, S.

    2012-01-01

    This paper is an exploration into the analysis of public transport networks using space syntax approaches combined with concepts of sustainable accessibility. Present urban development policy aims to achieve sustainable mobility patterns, shifting mobility to soft transportation modes such as

  1. Delivering Sustainability Through Supply Chain Distribution Network Redesign

    OpenAIRE

    Denise Ravet

    2013-01-01

    Purpose - Companies could gain (cost, service, green/sustainable) competitive advantage through the supply chain network. The goal of this article is to study how to deliver sustainability through the supply chain distribution network redesign.Design/methodology/approach - A literature review is conducted to examine research relating to sustainable supply chain strategies and supply chain distribution network redesign.Findings - A study of the supply chain literature reveals the importance to...

  2. Information Systems Solutions for Environmental Sustainability

    DEFF Research Database (Denmark)

    Gholami, Roya; Watson, Richard T.; Hasan, Helen

    2016-01-01

    themselves in creating solutions for environmental problems. Moreover, information is a perquisite for assessing the state of the environment and making appropriate decisions to ameliorate identified problems. Indeed, the IS scholarly community needs to help create a sustainable society. While......We contend that too few information systems (IS) academics engage in impactful research that offers solutions to global warming despite the fact that climate change is one of the most critical challenges facing this generation. Climate change is a major threat to global sustainability in the 21st...... century. Unfortunately, from submissions of our call for papers presenting IS solutions for environmental sustainability, we found only one paper worthy of publication. Given that IS have been the major force for productivity increases in the last half-century, we suggest that IS scholars should immerse...

  3. Delivering Sustainability Through Supply Chain Distribution Network Redesign

    Directory of Open Access Journals (Sweden)

    Denise Ravet

    2013-09-01

    Full Text Available Purpose - Companies could gain (cost, service, green/sustainable competitive advantage through the supply chain network. The goal of this article is to study how to deliver sustainability through the supply chain distribution network redesign.Design/methodology/approach - A literature review is conducted to examine research relating to sustainable supply chain strategies and supply chain distribution network redesign.Findings - A study of the supply chain literature reveals the importance to rethink the supply chain distribution network design and to treat sustainability as integral to operations.

  4. Sustainable information systems: a knowledge perspective

    NARCIS (Netherlands)

    Maruster, L.; Faber, N.R.; Peters, K.

    2008-01-01

    Purpose – The purpose of this paper is to propose a re-orientation of the way the concept of sustainability is dealt with in relation to information systems, positioning human behaviour and the processing of knowledge at the centre of the concept. Design/methodology/approach – The concept of

  5. Dynamic Business Networks: A Headache for Sustainable Systems Interoperability

    Science.gov (United States)

    Agostinho, Carlos; Jardim-Goncalves, Ricardo

    Collaborative networked environments emerged with the spread of the internet, contributing to overcome past communication barriers, and identifying interoperability as an essential property. When achieved seamlessly, efficiency is increased in the entire product life cycle. Nowadays, most organizations try to attain interoperability by establishing peer-to-peer mappings with the different partners, or in optimized networks, by using international standard models as the core for information exchange. In current industrial practice, mappings are only defined once, and the morphisms that represent them, are hardcoded in the enterprise systems. This solution has been effective for static environments, where enterprise and product models are valid for decades. However, with an increasingly complex and dynamic global market, models change frequently to answer new customer requirements. This paper draws concepts from the complex systems science and proposes a framework for sustainable systems interoperability in dynamic networks, enabling different organizations to evolve at their own rate.

  6. Network Information Management Subsystem

    Science.gov (United States)

    Chatburn, C. C.

    1985-01-01

    The Deep Space Network is implementing a distributed data base management system in which the data are shared among several applications and the host machines are not totally dedicated to a particular application. Since the data and resources are to be shared, the equipment must be operated carefully so that the resources are shared equitably. The current status of the project is discussed and policies, roles, and guidelines are recommended for the organizations involved in the project.

  7. The Global Network of Biofuel Sustainability Standards-setters

    DEFF Research Database (Denmark)

    Henriksen, Lasse Folke

    2015-01-01

    The role of network structure in shaping the regulatory scope and content of sustainability standards for biofuels is examined. A critical review of the literature on hybrid governance networks suggests the need to bring in network theory. Through a specific network analysis of the standards...

  8. Transnational organizing: Issue professionals in environmental sustainability networks.

    Science.gov (United States)

    Henriksen, Lasse Folke; Seabrooke, Leonard

    2016-09-01

    An ongoing question for institutional theory is how organizing occurs transnationally, where institution building occurs in a highly ambiguous environment. This article suggests that at the core of transnational organizing is competition and coordination within professional and organizational networks over who controls issues. Transnational issues are commonly organized through professional battles over how issues are treated and what tasks are involved. These professional struggles are often more important than what organization has a formal mandate over an issue. We highlight how 'issue professionals' operate in two-level professional and organizational networks to control issues. This two-level network provides the context for action in which professionals do their institutional work. The two-level network carries information about professional incentives and also norms about how issues should be treated and governed by organizations. Using network and career sequences methods, we provide a case of transnational organizing through professionals who attempt issue control and network management on transnational environmental sustainability certification. The article questions how transnational organizing happens, and how we can best identify attempts at issue control.

  9. Sustainable facilities management through building information modelling

    OpenAIRE

    Carbonari, Giulia; Jones, Keith G.

    2014-01-01

    Building Information Modelling (BIM) is an approach to improving the efficiency of the building process and potentially providing the key data set needed by facilities managers to operate buildings in a more sustainable manner. Whilst the design/construction phase of BIM is well advanced, the facilities management phase is not. Although attempts to develop similar facilities management models have been tried before, they have failed because of the complexity of data analysis and the inadequac...

  10. Information communication on complex networks

    Science.gov (United States)

    Igarashi, Akito; Kawamoto, Hiroki; Maruyama, Takahiro; Morioka, Atsushi; Naganuma, Yuki

    2013-02-01

    Since communication networks such as the Internet, which is regarded as a complex network, have recently become a huge scale and a lot of data pass through them, the improvement of packet routing strategies for transport is one of the most significant themes in the study of computer networks. It is especially important to find routing strategies which can bear as many traffic as possible without congestion in complex networks. First, using neural networks, we introduce a strategy for packet routing on complex networks, where path lengths and queue lengths in nodes are taken into account within a framework of statistical physics. Secondly, instead of using shortest paths, we propose efficient paths which avoid hubs, nodes with a great many degrees, on scale-free networks with a weight of each node. We improve the heuristic algorithm proposed by Danila et. al. which optimizes step by step routing properties on congestion by using the information of betweenness, the probability of paths passing through a node in all optimal paths which are defined according to a rule, and mitigates the congestion. We confirm the new heuristic algorithm which balances traffic on networks by achieving minimization of the maximum betweenness in much smaller number of iteration steps. Finally, We model virus spreading and data transfer on peer-to-peer (P2P) networks. Using mean-field approximation, we obtain an analytical formulation and emulate virus spreading on the network and compare the results with those of simulation. Moreover, we investigate the mitigation of information traffic congestion in the P2P networks.

  11. Information and control in networks

    CERN Document Server

    Bernhardsson, Bo; Rantzer, Anders

    2014-01-01

    Information and Control in Networks demonstrates the way in which system dynamics and information flows intertwine as they evolve, and the central role played by information in the control of complex networked systems. It is a milestone on the road to that convergence from traditionally independent development of control theory and information theory which has emerged strongly in the last fifteen years, and is now a very active research field. In addition to efforts in control and information theory, the text is witness to strong research in such diverse fields as computer science, mathematics, and statistics. Aspects that are given specialist treatment include: ·                 data-rate theorems; ·                 computation and control over communication networks; ·                 decentralized stochastic control; ·                 Gaussian networks and Gaussian–Markov random fields; and ·                 routability ...

  12. College Students' Nutrition Information Networks.

    Science.gov (United States)

    Hertzler, Ann A.; Frary, Robert B.

    1995-01-01

    Use of nutrition information networks (consumer market, media, authority, family, and high school classes), food choices, fat practices, and nutrient intake were rated by 179 male and 300 female undergraduates. Family was an important influence; media and consumer market influenced fat practices, especially for women. No source was used very…

  13. Sustainable and Resilient Supply Chain Network Design under Disruption Risks

    Directory of Open Access Journals (Sweden)

    Sonia Irshad Mari

    2014-09-01

    Full Text Available Sustainable supply chain network design is a rich area for academic research that is still in its infancy and has potential to affect supply chain performance. Increasing regulations for carbon and waste management are forcing firms to consider their supply chains from ecological and social objectives, but in reality, however, facilities and the links connecting them are disrupted from time to time, due to poor weather, natural or manmade disasters or a combination of any other factors. Supply chain systems drop their sustainability objectives while coping with these unexpected disruptions. Hence, the new challenges for supply chain managers are to design an efficient and effective supply chain network that will be resilient enough to bounce back from any disruption and that also should have sufficient vigilance to offer same sustainability under a disruption state. This paper focuses on ecological sustainability, because an environmental focus in a supply chain system is more important and also links with other pillars of sustainability, as the products need to be produced, packed and transported in an ethical way, which should not harm social balance and the environment. Owing to importance of the considered issue, this paper attempts to introduce a network optimization model for a sustainable and resilient supply chain network by incorporating (1 sustainability via carbon emissions and embodied carbon footprints and (2 resilience by incorporating location-specific risks. The proposed goal programming (GP model optimizes the total cost, while considering the resilience and sustainability of the supply chain network.

  14. Big Social Network Data and Sustainable Economic Development

    Directory of Open Access Journals (Sweden)

    Umit Can

    2017-11-01

    Full Text Available New information technologies have led to the rapid and effective growth of social networks. The amount of data produced by social networks has increased the value of the big data concept, which is one of the popular current phenomena. The immediate or unpredictable effects of a wide array of economic activities on large masses and the reactions to them can be measured by using social media platforms and big data methods. Thus, it would be extremely beneficial to analyze the harmful environmental and social impacts that are caused by unsustainable business applications. As social networks and big data are popular realms currently, their efficient use would be an important factor in sustainable economic development. Accurate analysis of people’s consumption habits and economic tendencies would provide significant advantages to companies. Moreover, unknown consumption factors that affect the economic preferences of individuals can be discovered and economic efficiency can be increased. This study shows that the numerous solution opportunities that are provided by social networks and big data have become significant tools in dynamic policy creation by companies and states, in solving problems related to women’s rights, the environment, and health.

  15. Information systems outsourcing towards sustainable business value

    CERN Document Server

    Hirschheim, Rudy; Dibbern, Jens

    2014-01-01

    This book attempts to synthesize research that contributes to a better understanding of how to reach sustainable business value through information systems (IS) outsourcing. Important topics in this realm are how IS outsourcing can contribute to innovation, how it can be dynamically governed, how to cope with its increasing complexity through multi-vendor arrangements, how service quality standards can be met, how corporate social responsibility can be upheld and how to cope with increasing demands of internationalization and new sourcing models, such as crowdsourcing and platform-based cooperation. These issues are viewed from either the client or vendor perspective, or both. The book should be of interest to all academics and students in the fields of Information Systems, Management and Organization as well as corporate executives and professionals who seek a more profound analysis and understanding of the underlying factors and mechanisms of outsourcing.

  16. Sustainable Performance in Energy Harvesting - Wireless Sensor Networks

    DEFF Research Database (Denmark)

    Fafoutis, Xenofon; Di Mauro, Alessio; Dragoni, Nicola

    2013-01-01

    In this practical demo we illustrate the concept of "sustainable performance" in Energy-Harvesting Wireless Sensor Networks (EH-WSNs). In particular, for different classes of applications and under several energy harvesting scenarios, we show how it is possible to have sustainable performance when...

  17. Ecological Citizenship and Sustainable Consumption: Examining Local Organic Food Networks

    Science.gov (United States)

    Seyfang, Gill

    2006-01-01

    Sustainable consumption is gaining in currency as a new environmental policy objective. This paper presents new research findings from a mixed-method empirical study of a local organic food network to interrogate the theories of both sustainable consumption and ecological citizenship. It describes a mainstream policy model of sustainable…

  18. Information recovery in behavioral networks.

    Directory of Open Access Journals (Sweden)

    Tiziano Squartini

    Full Text Available In the context of agent based modeling and network theory, we focus on the problem of recovering behavior-related choice information from origin-destination type data, a topic also known under the name of network tomography. As a basis for predicting agents' choices we emphasize the connection between adaptive intelligent behavior, causal entropy maximization, and self-organized behavior in an open dynamic system. We cast this problem in the form of binary and weighted networks and suggest information theoretic entropy-driven methods to recover estimates of the unknown behavioral flow parameters. Our objective is to recover the unknown behavioral values across the ensemble analytically, without explicitly sampling the configuration space. In order to do so, we consider the Cressie-Read family of entropic functionals, enlarging the set of estimators commonly employed to make optimal use of the available information. More specifically, we explicitly work out two cases of particular interest: Shannon functional and the likelihood functional. We then employ them for the analysis of both univariate and bivariate data sets, comparing their accuracy in reproducing the observed trends.

  19. International Green Purchasing Network - Sustainable Purchasing Profile

    Science.gov (United States)

    To help you find the resource that is right for your organization, EPA conducted a scan of the landscape and developed summary profiles of some of the leading sources of sustainable purchasing guidance around the globe.

  20. Responsible Purchasing Network - Sustainable Purchasing Guidance Profile

    Science.gov (United States)

    To help you find the resource that is right for your organization, EPA conducted a scan of the landscape and developed summary profiles of some of the leading sources of sustainable purchasing guidance around the globe.

  1. Lifelong learning networks for sustainable regional development

    NARCIS (Netherlands)

    De Kraker, Joop; Cörvers, Ron; Ruelle, Christine; Valkering, Pieter

    2010-01-01

    Sustainable regional development is a participatory, multi-actor process, involving a diversity of societal stakeholders, administrators, policy makers, practitioners and scientific experts. In this process, mutual and collective learning plays a major role as participants have to exchange and

  2. Structural dimensions of knowledge-action networks for sustainability

    Science.gov (United States)

    Tischa A. Munoz; B.B. Cutts

    2016-01-01

    Research on the influence of social network structure over flows of knowledge in support of sustainability governance and action has recently flourished. These studies highlight three challenges to evaluating knowledge-action networks: first, defining boundaries; second, characterizing power distributions; and third, identifying obstacles to knowledge sharing and...

  3. Incorporating the dimensions of sustainability into information ...

    African Journals Online (AJOL)

    kirstam

    IS project management as a business process can contribute to the sustainability of an organisation by incorporating sustainability in the project management processes. (Garies, Huemann, & Martinuzzi 2013). Various authors have emphasised the importance of sustainability as a managerial issue in the past few years ...

  4. Optimization of emergy sustainability index for biodiesel supply network design

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Tan, Shiyu; Yang, Le

    2015-01-01

    sustainable design. In the proposed model, the emergy sustainability index of the whole biodiesel supply networks in a life cycle perspective is employed as the measure of the sustainability, and multiple feedstocks, multiple transport modes, multiple regions for biodiesel production and multiple distribution......Sustainability is an important and difficult consideration for the stakeholders/decision-makers when planning a biofuel supply network. In this paper, a Mixed-Integer Non-linear Programming (MINLP) model was developed with the aim to help the stakeholders/decision-maker to select the most...... centers can be considered. After describing the process and mathematic framework of the model, an illustrative case was studied and demonstrated that the proposed methodology is feasible for finding the most sustainable design and planning of biodiesel supply chains....

  5. Designing and Evaluating Sustainable Logistics Networks

    NARCIS (Netherlands)

    J. Quariguasi Frota Neto (João); J.M. Bloemhof-Ruwaard (Jacqueline); J.A.E.E. van Nunen (Jo); H.W.G.M. van Heck (Eric)

    2006-01-01

    textabstractThe objective in this paper is to shed light into the design of logistic networks balancing profit and the environment. More specifically we intend to i) determine the main factors influencing environmental performance and costs in logistic networks ii) present a comprehensive framework

  6. Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network.

    Science.gov (United States)

    Steiner, John F; Paolino, Andrea R; Thompson, Ella E; Larson, Eric B

    2014-01-01

    As multi-institutional research networks assume a central role in clinical research, they must address the challenge of sustainability. Despite its importance, the concept of network sustainability has received little attention in the literature, and the sustainability strategies of durable scientific networks have not been described. The Health Maintenance Organization Research Network (HMORN) is a consortium of 18 research departments in integrated health care delivery systems with over 15 million members in the United States and Israel. The HMORN has coordinated federally funded scientific networks and studies since 1994. This case study describes the HMORN approach to sustainability, proposes an operational definition of network sustainability, and identifies 10 essential elements that can enhance sustainability. The sustainability framework proposed here is drawn from prior publications on organizational issues by HMORN investigators and from the experience of recent HMORN leaders and senior staff. Network sustainability can be defined as (1) the development and enhancement of shared research assets to facilitate a sequence of research studies in a specific content area or multiple areas, and (2) a community of researchers and other stakeholders who reuse and develop those assets. Essential elements needed to develop the shared assets of a network include: network governance; trustworthy data and processes for sharing data; shared knowledge about research tools; administrative efficiency; physical infrastructure; and infrastructure funding. The community of researchers within a network is enhanced by: a clearly defined mission, vision and values; protection of human subjects; a culture of collaboration; and strong relationships with host organizations. While the importance of these elements varies based on the membership and goals of a network, this framework for sustainability can enhance strategic planning within the network and can guide relationships with

  7. Networks: Innovation, Growth and Sustainable Development

    Directory of Open Access Journals (Sweden)

    Peter Johnston

    2013-05-01

    Full Text Available The emergence of the Internet as a measureable manifestation of our social and economic relationships changed the domination of networks in our lives. From about 2000, the internet has allowed us to study and understand the type of networks in which we live, and to model their behaviour. The Internet has fundamentally changed the distribution of wealth. The rich became richer simply because of the larger scale of the trading network and stretched national wealth distributions. Network effects are therefore likely to be responsible for much of the perceived increases in inequalities in the last 20-30 years, and policies to tackle poverty must therefore address the extent to which the poor can engage with society's networks of wealth creation. The greatest challenge to continued growth and prosperity, and therefore to peace and justice, is climate change. The potential cost of inaction on climate change could be as high. Our self-organising social networks have structured our societies and economies, and are now reflected in our technology networks. We can now replicate their evolution in computer simulations and can therefore better assess how to deal with the greatest challenges facing us in the next few decades.

  8. Integrated Reporting and Assurance of Sustainability Information: An Experimental Study on Professional Investors’ Information Processing

    NARCIS (Netherlands)

    Reimsbach, D.; Hahn, R.; Gürtürk, A.

    2017-01-01

    Sustainability-related non-financial information is increasingly deemed value relevant. Against this background, two recent trends in non-financial reporting are frequently discussed: integrated reporting and assurance of sustainability information. Using an established framework of information

  9. Social network analysis of sustainable transportation organizations.

    Science.gov (United States)

    2012-07-15

    Studying how organizations communicate with each other can provide important insights into the influence, and policy success of different types of organizations. This study examines the communication networks of 121 organizations promoting sustainabl...

  10. Virtual learning networks for sustainable development

    NARCIS (Netherlands)

    De Kraker, Joop; Cörvers, Ron

    2010-01-01

    Sustainable development is a participatory, multi-actor process. In this process, learning plays a major role as participants have to exchange and integrate a diversity of perspectives and types of knowledge and expertise in order to arrive at innovative, jointly supported solutions. Virtual

  11. Information Product Quality in Network Centric Operations

    National Research Council Canada - National Science Library

    Driscoll, Patrick J; Tortorella, Michael; Pohl, Edward

    2005-01-01

    This study introduces a pragmatic methodology for examining the effectiveness of decision support information systems for Network Centric Operations based on the concept of manufacturing information products...

  12. Sustained activity in hierarchical modular neural networks: self-organized criticality and oscillations

    Directory of Open Access Journals (Sweden)

    Sheng-Jun Wang

    2011-06-01

    Full Text Available Cerebral cortical brain networks possess a number of conspicuous features of structure and dynamics. First, these networks have an intricate, non-random organization. They are structured in a hierarchical modular fashion, from large-scale regions of the whole brain, via cortical areas and area subcompartments organized as structural and functional maps to cortical columns, and finally circuits made up of individual neurons. Second, the networks display self-organized sustained activity, which is persistent in the absence of external stimuli. At the systems level, such activity is characterized by complex rhythmical oscillations over a broadband background, while at the cellular level, neuronal discharges have been observed to display avalanches, indicating that cortical networks are at the state of self-organized criticality. We explored the relationship between hierarchical neural network organization and sustained dynamics using large-scale network modeling. It was shown that sparse random networks with balanced excitation and inhibition can sustain neural activity without external stimulation. We find that a hierarchical modular architecture can generate sustained activity better than random networks. Moreover, the system can simultaneously support rhythmical oscillations and self-organized criticality, which are not present in the respective random networks. The underlying mechanism is that each dense module cannot sustain activity on its own, but displays self-organized criticality in the presence of weak perturbations. The hierarchical modular networks provide the coupling among subsystems with self-organized criticality. These results imply that the hierarchical modular architecture of cortical networks plays an important role in shaping the ongoing spontaneous activity of the brain, potentially allowing the system to take advantage of both the sensitivityof critical state and predictability and timing of oscillations for efficient

  13. Sustainable coastal sensor networks: technologies and challenges

    Science.gov (United States)

    Carapezza, Edward M.; Butman, Jerry; Babb, Ivar; Bucklin, Ann

    2008-04-01

    This paper describes a distributed sensor network for a coastal maritime security system. This concept incorporates a network of small passive and active multi-phenomenological unattended sensors and shore based optical sensors to detect, classify, and track submerged threat objects approaching high value coastal assets, such as ports, harbors, residential, commercial, and military facilities and areas. The network of unattended, in-water sensors perform the initial detection, classification, and coarse tracking and then queues shore based optical laser radar sensors. These shore-based sensors perform a queued sector search to develop a refined track on the submerged threat objects that were initially detected by the unattended sensor network. Potential threat objects include swimmers, small unmanned underwater vehicles (UUV's), small submarines, and submerged barges. All of these threats have the potential to transport threat objects such as explosives, chemical, biological, radiological, and nuclear materials. Reliable systems with low false alarm rates (FAR) are proposed. Tens to hundreds of low cost passive sensors are proposed to be deployed conjunctively with several active acoustic and optical sensors in threat and facility dependant patterns to maximize the detection, tracking and classification of submerged threat objects. The integrated command and control system and novel microbial fuel cells to power these sensor networks are also described.

  14. A Step towards Developing a Sustainability Performance Measure within Industrial Networks

    Directory of Open Access Journals (Sweden)

    Samaneh Shokravi

    2014-04-01

    Full Text Available Despite the plethora of literature in sustainability and supply chain management in the recent years, a quantitative tool that measures the sustainability performance of an industrial supply network, considering the uncertainties of existing data, is hard to find. This conceptual paper is aimed at establishing a quantitative measure for the sustainability performance of industrial supply networks that considers aleatory and epistemic uncertainties in its environmental performance evaluation. The measure is built upon economic, environmental and social performance evaluation models. These models address a number of shortcomings in the literature, such as incomplete and inaccurate calculation of environmental impacts, as well as the disregard for aleatory and epistemic uncertainties in the input data and, more importantly, the scarce number of quantitative social sustainability measures. Dyadic interactions are chosen for the network, while the network members have a revenue-sharing relationship. This relationship promotes sharing of the required information for the use of the proposed model. This measure provides an approach to quantify the environmental, social and economic sustainability performances of a supply network. Moreover, as this measure is not specifically designed for an industrial sector, it can be employed over an evolving and diverse industrial network.

  15. A Security Architecture for Health Information Networks

    OpenAIRE

    Kailar, Rajashekar

    2007-01-01

    Health information network security needs to balance exacting security controls with practicality, and ease of implementation in today’s healthcare enterprise. Recent work on ‘nationwide health information network’ architectures has sought to share highly confidential data over insecure networks such as the Internet. Using basic patterns of health network data flow and trust models to support secure communication between network nodes, we abstract network security requirements to a core set t...

  16. Building Trust-Based Sustainable Networks

    Science.gov (United States)

    2013-06-05

    influence relationships among entities? ■ What behaviors affect trust and sustainability (e.g., altruism , reciprocation, cooperation)? Based on these...addition, altruistic behavior can trigger the reciprocal altruistic relationship, the so called “reciprocal altruism .” In this rela- tionship, some... Prosocial Behavior , r. A. Hinde and J. Groebel, Eds. Cambridge univ. Press, 1991, pp. 27–48. [4] C. Castelfranchi and r. Falcone, TrustThe- ory: A

  17. Sustainable Process Networks for CO2 Conversion

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Kongpanna, P.; Pavarajam, V.

    that are thermodynamically feasible, including the co-reactants, catalysts, operating conditions and reactions. Research has revealed that there are a variety of reactions that fulfill the aforementioned criteria. The products that are formed fall into categories: fuels, bulk chemicals and specialty chemicals. While fuels...... the emissions is the conversion of CO2 into useful products, such as methanol [3]. In this work, through a computer-aided framework for process network synthesis-design, a network of feasible conversion processes that all use emitted CO2 is investigated. CO2 is emitted into the environment from various sources......, such as methanol (MeOH) have the largest market, this network will include a variety of thermodynamically feasible conversion paths [4]. From reviews of work previously done, there are ranges of possible products that are formed from CO2 and another co-reactant directly. Methanol, dimethyl ether, dimethyl...

  18. Value networks in manufacturing sustainability and performance excellence

    CERN Document Server

    Uusitalo, Teuvo

    2017-01-01

    This book highlights innovative solutions together with various techniques and methods that can help support the manufacturing sector to excel in economic, social, and environmental terms in networked business environments. The book also furthers understanding of sustainable manufacturing from the perspective of value creation in manufacturing networks, by capitalizing on the outcomes of the European ‘Sustainable Value Creation in Manufacturing Networks’ project. New dynamics and uncertainties in modern markets call for innovative solutions in the global manufacturing sector. While the manufacturing sector is traditionally driven by technology, it also requires other managerial and organizational solutions in terms of network governance, business models, sustainable solution development for products and services, performance management portals, etc., which can provide major competitive advantages for companies. At the same time, the manufacturing industry is subject to a change process, where business net...

  19. Learning in Networks for Sustainable Development

    NARCIS (Netherlands)

    Lansu, Angelique; Boon, Jo; Sloep, Peter; Van Dam-Mieras, Rietje

    2010-01-01

    The didactic model of remote internships described in this study provides the flexibility needed to support networked learners, i.e. to facilitate the development and subsequent assessment of their competences. The heterogeneity of the participants (students, employers, tutors) in the learning

  20. Incorporating existing network information into gene network inference.

    Directory of Open Access Journals (Sweden)

    Scott Christley

    2009-08-01

    Full Text Available One methodology that has met success to infer gene networks from gene expression data is based upon ordinary differential equations (ODE. However new types of data continue to be produced, so it is worthwhile to investigate how to integrate these new data types into the inference procedure. One such data is physical interactions between transcription factors and the genes they regulate as measured by ChIP-chip or ChIP-seq experiments. These interactions can be incorporated into the gene network inference procedure as a priori network information. In this article, we extend the ODE methodology into a general optimization framework that incorporates existing network information in combination with regularization parameters that encourage network sparsity. We provide theoretical results proving convergence of the estimator for our method and show the corresponding probabilistic interpretation also converges. We demonstrate our method on simulated network data and show that existing network information improves performance, overcomes the lack of observations, and performs well even when some of the existing network information is incorrect. We further apply our method to the core regulatory network of embryonic stem cells utilizing predicted interactions from two studies as existing network information. We show that including the prior network information constructs a more closely representative regulatory network versus when no information is provided.

  1. Information Propagation in Clustered Multilayer Networks

    CERN Document Server

    Zhuang, Yong

    2015-01-01

    In today's world, individuals interact with each other in more complicated patterns than ever. Some individuals engage through online social networks (e.g., Facebook, Twitter), while some communicate only through conventional ways (e.g., face-to-face). Therefore, understanding the dynamics of information propagation among humans calls for a multi-layer network model where an online social network is conjoined with a physical network. In this work, we initiate a study of information diffusion in a clustered multi-layer network model, where all constituent layers are random networks with high clustering. We assume that information propagates according to the SIR model and with different information transmissibility across the networks. We give results for the conditions, probability, and size of information epidemics, i.e., cases where information starts from a single individual and reaches a positive fraction of the population. We show that increasing the level of clustering in either one of the layers increas...

  2. Dynamic information routing in complex networks

    Science.gov (United States)

    Kirst, Christoph; Timme, Marc; Battaglia, Demian

    2016-04-01

    Flexible information routing fundamentally underlies the function of many biological and artificial networks. Yet, how such systems may specifically communicate and dynamically route information is not well understood. Here we identify a generic mechanism to route information on top of collective dynamical reference states in complex networks. Switching between collective dynamics induces flexible reorganization of information sharing and routing patterns, as quantified by delayed mutual information and transfer entropy measures between activities of a network's units. We demonstrate the power of this mechanism specifically for oscillatory dynamics and analyse how individual unit properties, the network topology and external inputs co-act to systematically organize information routing. For multi-scale, modular architectures, we resolve routing patterns at all levels. Interestingly, local interventions within one sub-network may remotely determine nonlocal network-wide communication. These results help understanding and designing information routing patterns across systems where collective dynamics co-occurs with a communication function.

  3. Characterizing the sustainable forestry issue network in thc United States

    Science.gov (United States)

    Steverson O. Moffat; Frederick W. Cubbage; Thomas P. Holmes; Elizabethann O' Sullivan

    2001-01-01

    Issue network analysis techniques were applied to the issue sustainable forestry in the United States to identify potential public and private outcomes for the issue. A quantitative approach based on work by Laumann and Knoke [(The Organizational State (1987)] was utilized in conjunction with the Delphi method. Results suggest that the parity in the distribution of...

  4. Protecting information on local area networks

    CERN Document Server

    Schweitzer, James A

    1988-01-01

    Protecting Information on Local Area Networks presents the various types of networks and explains why they are being expanded at such a rapid pace. This book considers how management can gain control of the valuable network-services information resources generally available.Organized into three parts encompassing seven chapters, this book begins with an overview of the various networks and their operations. This text then discusses the appropriate management actions to ensure some control over the use of networks and the business information resource. Other chapters consider the management rat

  5. Mixed Transportation Network Design under a Sustainable Development Perspective

    Science.gov (United States)

    Qin, Jin; Ni, Ling-lin; Shi, Feng

    2013-01-01

    A mixed transportation network design problem considering sustainable development was studied in this paper. Based on the discretization of continuous link-grade decision variables, a bilevel programming model was proposed to describe the problem, in which sustainability factors, including vehicle exhaust emissions, land-use scale, link load, and financial budget, are considered. The objective of the model is to minimize the total amount of resources exploited under the premise of meeting all the construction goals. A heuristic algorithm, which combined the simulated annealing and path-based gradient projection algorithm, was developed to solve the model. The numerical example shows that the transportation network optimized with the method above not only significantly alleviates the congestion on the link, but also reduces vehicle exhaust emissions within the network by up to 41.56%. PMID:23476142

  6. Mixed Transportation Network Design under a Sustainable Development Perspective

    Directory of Open Access Journals (Sweden)

    Jin Qin

    2013-01-01

    Full Text Available A mixed transportation network design problem considering sustainable development was studied in this paper. Based on the discretization of continuous link-grade decision variables, a bilevel programming model was proposed to describe the problem, in which sustainability factors, including vehicle exhaust emissions, land-use scale, link load, and financial budget, are considered. The objective of the model is to minimize the total amount of resources exploited under the premise of meeting all the construction goals. A heuristic algorithm, which combined the simulated annealing and path-based gradient projection algorithm, was developed to solve the model. The numerical example shows that the transportation network optimized with the method above not only significantly alleviates the congestion on the link, but also reduces vehicle exhaust emissions within the network by up to 41.56%.

  7. Information and Communication Network Among Natural Scientists ...

    African Journals Online (AJOL)

    This study tries to find out the extent of information and communication networks among natural scientists in Ahmadu Bello University, Zaria. Their ways of information sharing, and the extent of their participation in information networking were investigated. Using two (2) research questions, data was collected from 299 pure ...

  8. Effective information spreading based on local information in correlated networks

    CERN Document Server

    Gao, Lei; Pan, Liming; Tang, Ming; Zhang, Hai-Feng

    2016-01-01

    Using network-based information to facilitate information spreading is an essential task for spreading dynamics in complex networks, which will benefit the promotion of technical innovations, healthy behaviors, new products, etc. Focusing on degree correlated networks, we propose a preferential contact strategy based on the local network structure and local informed density to promote the information spreading. During the spreading process, an informed node will preferentially select a contact target among its neighbors, basing on their degrees or local informed densities. By extensively implementing numerical simulations in synthetic and empirical networks, we find that when only consider the local structure information, the convergence time of information spreading will be remarkably reduced if low-degree neighbors are favored as contact targets. Meanwhile, the minimum convergence time depends non-monotonically on degree-degree correlation, and moderate correlation coefficients result in most efficient info...

  9. A security architecture for health information networks.

    Science.gov (United States)

    Kailar, Rajashekar; Muralidhar, Vinod

    2007-10-11

    Health information network security needs to balance exacting security controls with practicality, and ease of implementation in today's healthcare enterprise. Recent work on 'nationwide health information network' architectures has sought to share highly confidential data over insecure networks such as the Internet. Using basic patterns of health network data flow and trust models to support secure communication between network nodes, we abstract network security requirements to a core set to enable secure inter-network data sharing. We propose a minimum set of security controls that can be implemented without needing major new technologies, but yet realize network security and privacy goals of confidentiality, integrity and availability. This framework combines a set of technology mechanisms with environmental controls, and is shown to be sufficient to counter commonly encountered network security threats adequately.

  10. Econometric Information Recovery in Behavioral Networks

    Directory of Open Access Journals (Sweden)

    George Judge

    2016-09-01

    Full Text Available In this paper, we suggest an approach to recovering behavior-related, preference-choice network information from observational data. We model the process as a self-organized behavior based random exponential network-graph system. To address the unknown nature of the sampling model in recovering behavior related network information, we use the Cressie-Read (CR family of divergence measures and the corresponding information theoretic entropy basis, for estimation, inference, model evaluation, and prediction. Examples are included to clarify how entropy based information theoretic methods are directly applicable to recovering the behavioral network probabilities in this fundamentally underdetermined ill posed inverse recovery problem.

  11. Exploring network operations for data and information networks

    Science.gov (United States)

    Yao, Bing; Su, Jing; Ma, Fei; Wang, Xiaomin; Zhao, Xiyang; Yao, Ming

    2017-01-01

    Barabási and Albert, in 1999, formulated scale-free models based on some real networks: World-Wide Web, Internet, metabolic and protein networks, language or sexual networks. Scale-free networks not only appear around us, but also have high qualities in the world. As known, high quality information networks can transfer feasibly and efficiently data, clearly, their topological structures are very important for data safety. We build up network operations for constructing large scale of dynamic networks from smaller scale of network models having good property and high quality. We focus on the simplest operators to formulate complex operations, and are interesting on the closeness of operations to desired network properties.

  12. Sustained tobramycin release from polyphosphate double network hydrogels.

    Science.gov (United States)

    Lane, Dwight D; Fessler, Amber K; Goo, Seungah; Williams, Dustin L; Stewart, Russell J

    2017-03-01

    Sustained local delivery of antibiotics from a drug reservoir to treat or prevent bacterial infections can avoid many of the drawbacks of systemic administration of antibiotics. Prolonged local release of high concentrations of antibiotics may also be more effective at treating bacteria in established biofilm populations that are resistant to systemic antibiotics. A double network hydrogel comprising an organic polyphosphate pre-polymer network polymerized within a polyacrylamide network de-swelled to about 50% of its initial volume when the polyphosphate network was crosslinked with polycationic tobramycin, an aminoglycoside antibiotic. The antibiotic-loaded hydrogels contained approximately 200mg/ml of tobramycin. The hydrogels continuously released daily amounts of tobramycin above the Pseudomonas aeruginosa minimal bactericidal concentration for greater than 50days, over the pH range 6.0-8.0, and completely eradicated established P. aeruginosa biofilms within 72h in a flow cell bioreactor. The presence of physiological concentrations of Mg2+ and Ca2+ ions doubled the cumulative release over 60days. The polyphosphate hydrogels show promise as materials for sustained localized tobramycin delivery to prevent post-operative P. aeruginosa infections including infections established in biofilms. Polyphosphate hydrogels were loaded with high concentrations of tobramycin. The hydrogels provided sustained release of bactericidal concentrations of tobramycin for 50days, and were capable of completely eradicating P. aeruginosa in established biofilms. The hydrogels have potential for localized prevention or treatment of P. aeruginosa infections. Copyright © 2016 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

  13. Business models and information systems for sustainable development

    NARCIS (Netherlands)

    van Sinderen, Marten J.; Shishkov, Boris; Shishkov, B.B.

    Businesses are expected to explore market opportunities in the area of sustainable development, thus contributing to finding solutions aiming at sustainable quality of life. This will require adaptation and innovation of business models and information systems, with challenges of particular interest

  14. Sustainable Logistics Network Modeling for Enterprise Supply Chain

    Directory of Open Access Journals (Sweden)

    Lan Zhu

    2017-01-01

    Full Text Available With the expansion of the study about green logistics, sustainable supply chain management (SSCM has appeared as a new concept in current economic circumstance. This paper studies the sustainability optimization of enterprise logistics network from a strategic perspective and proposes a multiobjective sustainable logistics optimization model considering three dimensions of sustainability: economy, environment, and society. In this model, the environment factor was measured with a Life Cycle Assessment (LCA method based on Chinese Life Cycle Database (CLCD, while for social factors, Sustainability Reporting Guidelines (GRI are utilized to quantify the social performance. Moreover, the model was solved with an adapted version of the ε-constraint method named augment constraint algorithm (AUGMENCON through GAMS software. The numerical experiment results of a computer manufacturer supply chain show that the proposed model is able to integrate all dimensions of sustainability and simultaneously prove the capability of AUGMENCON in providing a set of trade-off solutions for the decision makers to make different decisions under different environment and social requirements.

  15. Spinal Cord Injury Model System Information Network

    Science.gov (United States)

    ... the UAB-SCIMS Contact the UAB-SCIMS UAB Spinal Cord Injury Model System Newly Injured Health Daily Living Consumer ... Information Network The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network ...

  16. Information Dissemination Through Networking In Nigeria: Problems ...

    African Journals Online (AJOL)

    Information dissemination is an important element in teaching and research around the world. Dissemination of information through electronic networking has transformed the conduct of research and teaching in institutions and organizations. Electronic networks are offering researchers a wide range of opportunities in ...

  17. Sustainable Value Generation through Collaborative Symbiotic Networks Planning

    OpenAIRE

    Araujo, Juliano; Pintão, Raphael; Rosa, Cyntia,

    2011-01-01

    Part 19: Sustainability Issues; International audience; Industrial Symbiosis is an important component of Industrial Ecology which studies the collaboration and coexistence of companies to achieve mutual benefits. Its concepts have traditionally focused on eco-efficiency and its direct benefits such as costs reduction, resources optimization and environmental impacts reduction. The paper introduces the use of externalities and collaborative networks as tools to amplify the spectrum of opportu...

  18. A Network Analysis Model for Selecting Sustainable Technology

    Directory of Open Access Journals (Sweden)

    Sangsung Park

    2015-09-01

    Full Text Available Most companies develop technologies to improve their competitiveness in the marketplace. Typically, they then patent these technologies around the world in order to protect their intellectual property. Other companies may use patented technologies to develop new products, but must pay royalties to the patent holders or owners. Should they fail to do so, this can result in legal disputes in the form of patent infringement actions between companies. To avoid such situations, companies attempt to research and develop necessary technologies before their competitors do so. An important part of this process is analyzing existing patent documents in order to identify emerging technologies. In such analyses, extracting sustainable technology from patent data is important, because sustainable technology drives technological competition among companies and, thus, the development of new technologies. In addition, selecting sustainable technologies makes it possible to plan their R&D (research and development efficiently. In this study, we propose a network model that can be used to select the sustainable technology from patent documents, based on the centrality and degree of a social network analysis. To verify the performance of the proposed model, we carry out a case study using actual patent data from patent databases.

  19. Creating and Using Culturally Sustaining Informational Texts

    Science.gov (United States)

    Watanabe Kganetso, Lynne M.

    2017-01-01

    Current standards and assessments emphasize the importance of a variety of genres in students' literacy diets, which has placed increased attention on informational texts. Unfortunately, young students' current exposure to and experiences with informational texts are often limited by the texts' availability, quality, and relevance to children's…

  20. City Sustainable Development Evaluation Based on Hesitant Multiplicative Fuzzy Information

    Directory of Open Access Journals (Sweden)

    Xiaorong He

    2017-01-01

    Full Text Available Sustainable development evaluation is the basis of city sustainable development research, and effective evaluation is the foundation for guiding the formulation and implementation of sustainable development strategy. In this paper, we provided a new city sustainable development evaluation method called hesitant multiplicative fuzzy TODIM (HMF-TODIM. The main advantage of this method is that it can deal with the subjective preference information of the decision-makers. The comparison study of existing methods and HMF-TODIM is also carried out. Additionally, real case analysis is presented to show the validity and superiority of the proposed method. Research results in this paper can provide useful information for the construction of sustainable cities.

  1. Application of geographic information systems (gis) for sustainable ...

    African Journals Online (AJOL)

    ... recent advances in information technology e.g. geographical information systems (GIS). This paper highlights the need for the integration of geographic information systems with processes of land evaluation, for improved quality of land decisions and sustainable land use and management. Journal of Applied Chemistry ...

  2. Information Flows in Networked Engineering Design Projects

    DEFF Research Database (Denmark)

    Parraguez, Pedro; Maier, Anja

    networks at the project level or in studying the social networks that deliver the “actual information flow”. In this paper we propose and empirically test a model and method that integrates both social and activity networks into one compact representation, allowing to compare actual and required......Complex engineering design projects need to manage simultaneously multiple information flows across design activities associated with different areas of the design process. Previous research on this area has mostly focused on either analysing the “required information flows” through activity...... information flows between design spaces, and to assess the influence that these misalignments could have on the performance of engineering design projects....

  3. Social Network Analysis and informal trade

    DEFF Research Database (Denmark)

    Walther, Olivier

    networks can be applied to better understand informal trade in developing countries, with a particular focus on Africa. The paper starts by discussing some of the fundamental concepts developed by social network analysis. Through a number of case studies, we show how social network analysis can...... illuminate the relevant causes of social patterns, the impact of social ties on economic performance, the diffusion of resources and information, and the exercise of power. The paper then examines some of the methodological challenges of social network analysis and how it can be combined with other...

  4. Completing and sustaining IMS network for the CTBT Verification Regime

    Science.gov (United States)

    Meral Ozel, N.

    2015-12-01

    The CTBT International Monitoring System is to be comprised of 337 facilities located all over the world for the purpose of detecting and locating nuclear test explosions. Major challenges remain, namely the completion of the network where most of the remaining stations have either environmental, logistical and/or political issues to surmont (89% of the stations have already been built) and the sustainment of a reliable and state-of the-art network covering 4 technologies - seismic, infrasound , hydroacoustic and radionuclide. To have a credible and trustworthy verification system ready for entry into force of the Treaty, the CTBTO is protecting and enhancing its investment of its global network of stations and is providing effective data to the International Data Centre (IDC) and Member States. Regarding the protection of the CTBTO's investment and enhanced sustainment of IMS station operations, the IMS Division is enhancing the capabilities of the monitoring system by applying advances in instrumentation and introducing new software applications that are fit for purpose. Some examples are the development of noble gas laboratory systems to process and analyse subsoil samples, development of a mobile noble gas system for onsite inspection purposes, optimization of Beta Gamma detectors for Xenon detection, assessing and improving the efficiency of wind noise reduction systems for infrasound stations, development and testing of infrasound stations with a self-calibrating capability, and research into the use of modular designs for the hydroacoustic network.

  5. Information and knowledge management for sustainable forestry

    Science.gov (United States)

    Alan J. Thomson; Michael Rauscher; Daniel L. Schmoldt; Harald Vacik

    2007-01-01

    Institutional information and knowledge management often involves a range of systems and technologies to aid decisions and produce reports. Construction of a knowledge system organizing hierarchy facilitates exploration of the interrelationships among knowledge management, inventory and monitoring, statistics and modeling, and policy. Two case studies illustrate these...

  6. A Worldwide Population Information Network

    Science.gov (United States)

    Kolbe, Helen K.

    1978-01-01

    Regional population networks identified and discussed include APLIC, POPINFORM, and POPLINE (North America and Europe), DOCPAL (Latin America), ESCAP (Asia), and PIDSA (Africa). Brief discussion of the POPINS proposal which appears to be emerging as a model program is also included. (JPF)

  7. Healthy living champions network: An opportunity for community pharmacy's sustained participation in tackling local health inequalities.

    Science.gov (United States)

    Nazar, Zachariah; Portlock, Jane; Rutter, Paul; Brown, David

    Evaluations recognize healthy living champions (HLCs) as key contributors to the Health Living Pharmacy (HLP) project's success; the project has served to reduce pressure on family doctor services and clients who would have otherwise not sought professional advice have accessed HLP services. To investigate the impact of innovative networking opportunities in supporting HLCs to function within their role and to explore the network's potential in promoting sustained HLP participation. Twenty of Portsmouth's (England) HLCs (n = 33) agreed to participate in focus groups. Transcripts were subjected to interpretative phenomenological analysis guided by grounded theory. The transcripts were read repeatedly; recurrent themes were identified and coded manually and consensus was reached by discussion within the research team. Network meetings provide HLCs with professional development, networking opportunities and continued encouragement. Recommendations to develop and sustain the network included the formation of a group committee and establishing of a communication facility accessible between meetings. The successful Portsmouth HLP project informed the design of UK HLP projects. The current focus is to build a successful strategy to sustain the positive outcomes, building on the recognized enablers. This study contributes further lessons learned to guide health commissioners and service implementers to best support staff development, involvement and motivation through innovative practice. Copyright © 2016 Elsevier Inc. All rights reserved.

  8. Towards an Information Theory of Complex Networks

    CERN Document Server

    Dehmer, Matthias; Mehler, Alexander

    2011-01-01

    For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoreti

  9. Hierarchical social networks and information flow

    Science.gov (United States)

    López, Luis; F. F. Mendes, Jose; Sanjuán, Miguel A. F.

    2002-12-01

    Using a simple model for the information flow on social networks, we show that the traditional hierarchical topologies frequently used by companies and organizations, are poorly designed in terms of efficiency. Moreover, we prove that this type of structures are the result of the individual aim of monopolizing as much information as possible within the network. As the information is an appropriate measurement of centrality, we conclude that this kind of topology is so attractive for leaders, because the global influence each actor has within the network is completely determined by the hierarchical level occupied.

  10. The challenge of sustaining effectiveness over time: the case of the global network to stop tuberculosis

    Science.gov (United States)

    Quissell, Kathryn; Walt, Gill

    2016-01-01

    Where once global health decisions were largely the domain of national governments and the World Health Organization, today networks of international organizations, governments, private philanthropies and other entities are actively shaping public policy. However, there is still limited understanding of how global networks form, how they create institutions, how they promote and sustain collective action, and how they adapt to changes in the policy environment. Understanding these processes is crucial to understanding their effectiveness: whether and how global networks influence policy and public health outcomes. This study seeks to address these gaps through the examination of the global network to stop tuberculosis (TB) and the factors influencing its effectiveness over time. Drawing from ∼200 document sources and 16 interviews with key informants, we trace the development of the Global Partnership to Stop TB and its work over the past decade. We find that having a centralized core group and a strategic brand helped the network to coalesce around a primary intervention strategy, directly observed treatment short course. This strategy was created before the network was formalized, and helped bring in donors, ministries of health and other organizations committed to fighting TB—growing the network. Adaptations to this strategy, the creation of a consensus-based Global Plan, and the creation of a variety of participatory venues for discussion, helped to expand and sustain the network. Presently, however, tensions have become more apparent within the network as it struggles with changing internal political dynamics and the evolution of the disease. While centralization and stability helped to launch and grow the network, the institutionalization of governance and strategy may have constrained adaptation. Institutionalization and centralization may, therefore, facilitate short-term success for networks, but may end up complicating longer-term effectiveness. PMID

  11. Information theory perspective on network robustness

    Energy Technology Data Exchange (ETDEWEB)

    Schieber, Tiago A. [Departmento de Engenharia de Produção, Universidade Federal de Minas Gerais, Belo Horizonte, MG (Brazil); Industrial and Systems Engineering, University of Florida, Gainesville, FL (United States); Carpi, Laura [Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Colom 11, Terrassa, 08222, Barcelona (Spain); Frery, Alejandro C. [Laboratório de Computação Científica e Análise Numérica (LaCCAN), Universidade Federal de Alagoas, Maceió, Alagoas (Brazil); Rosso, Osvaldo A. [Instituto de Física, Universidade Federal de Alagoas, Maceió, Alagoas (Brazil); Instituto Tecnológico de Buenos Aires (ITBA), Ciudad Autónoma de Buenos Aires (Argentina); Pardalos, Panos M. [Industrial and Systems Engineering, University of Florida, Gainesville, FL (United States); Ravetti, Martín G., E-mail: martin.ravetti@dep.ufmg.br [Departmento de Engenharia de Produção, Universidade Federal de Minas Gerais, Belo Horizonte, MG (Brazil); Departament de Física Fonamental, Universitat de Barcelona, Barcelona (Spain)

    2016-01-28

    A crucial challenge in network theory is the study of the robustness of a network when facing a sequence of failures. In this work, we propose a dynamical definition of network robustness based on Information Theory, that considers measurements of the structural changes caused by failures of the network's components. Failures are defined here as a temporal process defined in a sequence. Robustness is then evaluated by measuring dissimilarities between topologies after each time step of the sequence, providing a dynamical information about the topological damage. We thoroughly analyze the efficiency of the method in capturing small perturbations by considering different probability distributions on networks. In particular, we find that distributions based on distances are more consistent in capturing network structural deviations, as better reflect the consequences of the failures. Theoretical examples and real networks are used to study the performance of this methodology. - Highlights: • A novel methodology to measure the robustness of a network to component failure or targeted attacks is proposed. • The use of the network's distance PDF allows a precise analysis. • The method provides a dynamic robustness profile showing the response of the topology to each failure event. • The measure is capable to detect network's critical elements.

  12. Brain network clustering with information flow motifs

    NARCIS (Netherlands)

    Märtens, M.; Meier, J.M.; Hillebrand, Arjan; Tewarie, Prejaas; Van Mieghem, P.F.A.

    2017-01-01

    Recent work has revealed frequency-dependent global patterns of information flow by a network analysis of magnetoencephalography data of the human brain. However, it is unknown which properties on a small subgraph-scale of those functional brain networks are dominant at different frequencies bands.

  13. Informal Networks in Organizations - A Literature Review

    DEFF Research Database (Denmark)

    Waldstrøm, Christian

    2001-01-01

    and assess the existing contributions to the understanding of these informal networks in organizations. The first part of the paper presents the key terms and concepts needed to understand social networks both in general and within the framework of formal organizations in particular. In the second part...

  14. Educational initiatives for a sustainable information society

    Directory of Open Access Journals (Sweden)

    David MIRAUT ANDRÉS

    2011-12-01

    Full Text Available Normal 0 21 false false false ES X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Enrollment in degrees related to Information Technology (Computer Science and Telecommunications has suffered a steady decline in the last decade, especially in the case of women. Industry, Government and Academia are concern. In a near future, we can reach to a point where there will be not enough professionals to cover Information Technology and Communications (ICT positions, if this situation does not change. So, the pace of innovation and competitiveness could not be maintained in Western countries. This paper analyzes some of the reasons why this increasing demand for ICT engineers is not tuned to the present trend of career choices among young people. And it provides an overview of the various innovative initiatives that are being carried out by all agents to show how ICT profession actually is to society in order to counteract this trend.

  15. Synthesis and Design of a Sustainable CO2 Utilization Network

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Gani, Rafiqul

    In response to increasing regulations and concern about the impact of greenhouse gases on the environment, carbon dioxide (CO2) emissions are targeted for reduction. One method is the conversion of CO2 to useful compounds via chemical reactions. However, conversion is still in its infancy...... processing block. CO2 conversion processes show promise as an additional method for the sustainable reduction of CO2 emissions....... a superstructure-based approach a network of utilization alternatives is created linking CO2 and other raw materials with various products using processing blocks. This will then be optimized and verified for sustainability. Detailed design has also been performed for a case study on the methanol synthesis...

  16. Information and influence propagation in social networks

    CERN Document Server

    Chen, Wei; Lakshmanan, Laks V S

    2013-01-01

    Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models

  17. Design and Management of Networked Information Systems

    DEFF Research Database (Denmark)

    Havn, Erling; Bansler, Jørgen P.

    1996-01-01

    -based IS. There are several reasons for this: (a) Networked IS are large and complex systems; (b) in most cases, one has to deal with a number of existing - probably heterogenous - technical hardware and software platforms and link them together in a network; (c) differences in organizational culture, work......In this paper, we present a newly started research project at the Center for Tele-Information at the Technical University of Denmark. The project focuses on the design and management of networked information systems, that is computer-based IS linked by a wide area network and supporting...... communication between geographically dispersed organizational units. Examples include logistics systems, airline booking systems, and CSCW systems. We assume that the design and implementation of networked IS is significantly more difficult and risky than the development of traditional "stand-alone" computer...

  18. Sustainability performance measurement with Analytic Network Process and balanced scorecard: Cuban practical case

    Directory of Open Access Journals (Sweden)

    Frank Medel-González

    2016-01-01

    Full Text Available Abstract The recent years has arisen a global discussion in relation with how to incorporate sustainability at a business level. Corporate sustainability is a multidimensional concept, is the translation of Sustainable Development concept at a business level. Sustainability in organizations must be managed and assessed by decision makers, for that reason a multi-criteria sustainability performance measurement is necessary. The aim of this paper is combine different important tools that helps to make operative corporate sustainability and sustainability performance measurement in Cuban organizations. The combination of Sustainability Balanced Scorecard, multi-criteria decisions models like: Analytic Network Process, and Matrix of Sustainable Strategic Alignment, can help managers in sustainability performance measurement and assessment. The result of this paper focus in a Corporate Sustainability Measurement Network design as a first approach for further sustainability performance measurement systems development emphasizing in multi-criteria analysis.

  19. Weight-Control Information Network

    Science.gov (United States)

    ... provides the general public and health professionals with evidence-based information and resources on obesity, weight management, physical ... Medical Care for Patients with Obesity Weight Loss & Nutrition Myths Talking with Patients about Weight Loss Find ...

  20. Information transfer in community structured multiplex networks

    CERN Document Server

    Solé-Ribalta, Albert; Gómez, Sergio; Arenas, Alex

    2015-01-01

    The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.). The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer ...

  1. Using Information and Knowledge Required In Assessment and Management Applications for Sustainability

    Science.gov (United States)

    Albert Abee

    2006-01-01

    A broader concept of sustainability was introduced. Ted Heintz introduced the concept of sustainability as a life sustaining property of earth’s biosphere. Ted observed that Life in a wide variety of forms, interacting in networks of evolving relationships, has been sustained for nearly 4 billion years. Sustainability is a property of the system as a whole, a result of...

  2. Improving information filtering via network manipulation

    CERN Document Server

    Zhang, Fuguo

    2012-01-01

    Recommender system is a very promising way to address the problem of overabundant information for online users. Though the information filtering for the online commercial systems received much attention recently, almost all of the previous works are dedicated to design new algorithms and consider the user-item bipartite networks as given and constant information. However, many problems for recommender systems such as the cold-start problem (i.e. low recommendation accuracy for the small degree items) are actually due to the limitation of the underlying user-item bipartite networks. In this letter, we propose a strategy to enhance the performance of the already existing recommendation algorithms by directly manipulating the user-item bipartite networks, namely adding some virtual connections to the networks. Numerical analyses on two benchmark data sets, MovieLens and Netflix, show that our method can remarkably improve the recommendation performance. Specifically, it not only improve the recommendations accur...

  3. The data collection/data distribution center: building a sustainable African-American church-based research network.

    Science.gov (United States)

    Goldmon, Moses; Roberson, James T; Carey, Tim; Godley, Paul; Howard, Daniel L; Boyd, Carlton; Ammerman, Alice

    2008-01-01

    This article describes the Carolina-Shaw Partnership for the Elimination of Health Disparities efforts to engage a diverse group of Black churches in a sustainable network. We sought to develop a diverse network of 25 churches to work with the Carolina-Shaw Partnership to develop sustainable health disparities research, education, and intervention initiatives. Churches were selected based on location, pastoral buy-in, and capacity to engage. A purposive sampling technique was applied. (1) Collecting information on the location and characteristics of churches helps to identify and recruit churches that possess the desired qualities and characteristics. (2) The process used to identify, recruit, and select churches is time intensive. (3) The time, energy, and effort required managing an inter-institutional partnership and engage churches in health disparities research and interventions lends itself to sustainability. The development of a sustainable network of churches could lead to successful health disparities initiatives.

  4. 76 FR 67750 - Homeland Security Information Network Advisory Committee

    Science.gov (United States)

    2011-11-02

    ... SECURITY Homeland Security Information Network Advisory Committee AGENCY: Department of Homeland Security... Applicants for Appointment to Homeland Security Information Network Advisory Committee. SUMMARY: The Secretary of Homeland Security has determined that the renewal of the Homeland Security Information Network...

  5. 78 FR 17418 - Rural Health Information Technology Network Development Grant

    Science.gov (United States)

    2013-03-21

    ... award under the Rural Health Information Technology Network Development Grant (RHITND) to Grace... relinquishing its fiduciary responsibilities for the Rural Health Information Technology Network Development... HUMAN SERVICES Health Resources and Services Administration Rural Health Information Technology Network...

  6. Networking and Information Technology Workforce Study: Final Report

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — This report presents the results of a study of the global Networking and Information Technology NIT workforce undertaken for the Networking and Information...

  7. City networks collaboration and planning for health and sustainability

    CERN Document Server

    Migdalas, Athanasios; Rassia, Stamatina; Pardalos, Panos

    2017-01-01

    Sustainable development within urban and rural areas, transportation systems, logistics, supply chain management, urban health, social services, and architectural design are taken into consideration in the cohesive network models provided in this book. The ideas, methods, and models presented consider city landscapes and quality of life conditions based on mathematical network models and optimization. Interdisciplinary Works from prominent researchers in mathematical modeling, optimization, architecture, engineering, and physics are featured in this volume to promote health and well-being through design.   Specific topics include: -          Current technology that form the basis of future living in smart cities -          Interdisciplinary design and networking of large-scale urban systems  -          Network communication and route traffic optimization -          Carbon dioxide emission reduction -          Closed-loop logistics chain management and operation ...

  8. Information dynamics of brain-heart physiological networks during sleep

    Science.gov (United States)

    Faes, L.; Nollo, G.; Jurysta, F.; Marinazzo, D.

    2014-10-01

    This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain-heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the δ, θ, α, σ, and β bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissect this information into a part actively stored in the system and a part transferred to it from the other connected systems. The application of this approach to polysomnographic recordings of ten healthy subjects led us to identify a structured network of sleep brain-brain and brain-heart interactions, with the node described by the β EEG power acting as a hub which conveys the largest amount of information flowing between the heart and brain nodes. This network was found to be sustained mostly by the transitions across different sleep stages, as the information transfer was weaker during specific stages than during the whole night, and vanished progressively when moving from light sleep to deep sleep and to REM sleep.

  9. Pathway to Support the Sustainable National Health Information System

    Science.gov (United States)

    Sahavechaphan, Naiyana; Phengsuwan, Jedsada; U-Ruekolan, Suriya; Aroonrua, Kamron; Ponhan, Jukrapong; Harnsamut, Nattapon; Vannarat, Sornthep

    Heath information across geographically distributed healthcare centers has been recognized as an essential resource that drives an efficient national health-care plan. There is thus a need for the National Health Information System (NHIS) that provides the transparent and secure access to health information from different healthcare centers both on demand and in a time efficient manner. As healthiness is the ultimate goal of people and nation, we believe that the NHIS should be sustainable by taking the healthcare center and information consumer perspectives into account. Several issues in particular must be resolved altogether: (i) the diversity of health information structures among healthcare centers; (ii) the availability of health information sharing from healthcare centers; (iii) the efficient information access to various healthcare centers; and (iv) the privacy and privilege of heath information. To achieve the sustainable NHIS, this paper details our work which is divided into 3 main phases. Essentially, the first phase focuses on the application of metadata standard to enable the interoperability and usability of health information across healthcare centers. The second phase moves forward to make information sharing possible and to provide an efficient information access to a large number of healthcare centers. Finally, in the third phase, the privacy and privilege of health information is promoted with respect to access rights of information consumers.

  10. Organizing for Networked Information Technologies

    DEFF Research Database (Denmark)

    The book provides seven practical examples of how Danish companies implemented new information technology in order to transform their internal and external business processes. The purpose is to share some of the companies' concerns and hopes during this implementation process, with each case...

  11. Fisheries Information Network in Indonesia.

    Science.gov (United States)

    Balachandran, Sarojini

    During the early 1980s the Indonesian government made a policy decision to develop fisheries as an important sector of the national economy. In doing so, it recognized the need for the collection and dissemination of fisheries research information not only for the scientists themselves, but also for the ultimate transfer of technology through…

  12. Dynamics of interacting information waves in networks

    CERN Document Server

    Mirshahvalad, Atieh; Lizana, Ludvig; Rosvall, Martin

    2013-01-01

    To better understand the inner workings of information spreading, network researchers often use simple models to capture the spreading dynamics. But most models only highlight the effect of local interactions on the global spreading of a single information wave, and ignore the effects of interactions between multiple waves. Here we take into account the effect of multiple interacting waves by using an agent-based model in which the interaction between information waves is based on their novelty. We analyzed the global effects of such interactions and found that information that actually reaches nodes reaches them faster. This effect is caused by selection between information waves: slow waves die out and only fast waves survive. As a result, and in contrast to models with non-interacting information dynamics, the access to information decays with the distance from the source. Moreover, when we analyzed the model on various synthetic and real spatial road networks, we found that the decay rate also depends on ...

  13. Information transfer in community structured multiplex networks

    Science.gov (United States)

    Solé Ribalta, Albert; Granell, Clara; Gómez, Sergio; Arenas, Alex

    2015-08-01

    The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.). The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer networks with community structure. The final goal is to understand and quantify, if the existence of well-defined community structure at the level of individual layers, together with the multilayer structure of the whole network, enhances or deteriorates the diffusion of packets of information.

  14. Information transfer in community structured multiplex networks

    Directory of Open Access Journals (Sweden)

    Albert eSolé Ribalta

    2015-08-01

    Full Text Available The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.. The mathematical description of these interacting networks has been coined under the name of multilayer networks, where each layer accounts for a type of interaction. It has been shown that diffusive processes on top of these networks present a phenomenology that cannot be explained by the naive superposition of single layer diffusive phenomena but require the whole structure of interconnected layers. Nevertheless, the description of diffusive phenomena on multilayer networks has obviated the fact that social networks have strong mesoscopic structure represented by different communities of individuals driven by common interests, or any other social aspect. In this work, we study the transfer of information in multilayer networks with community structure. The final goal is to understand and quantify, if the existence of well-defined community structure at the level of individual layers, together with the multilayer structure of the whole network, enhances or deteriorates the diffusion of packets of information.

  15. Boredom, sustained attention and the default mode network.

    Science.gov (United States)

    Danckert, James; Merrifield, Colleen

    2016-03-15

    Boredom is a ubiquitous human experience that can best be described as an inability to engage with one's environment despite the motivation to do so. Boredom is perceived as a negative experience and demonstrates strong associations with other negatively valenced states including depression and aggression. Although boredom has been shown to be elevated in neurological and psychiatric illnesses, little is known about the neural underpinnings of the state. We scanned the brains of healthy participants under four separate conditions: a resting state scan, a sustained attention task and two video-based mood inductions, one known to produce boredom and another we validated to produce a state of interest or engagement. Using independent components analyses, results showed common regions of correlated activation in posterior regions of the so-called default mode network (DMN) of the brain across all four conditions. The sustained attention and boredom induction scans were differentiated from the resting state scan by the presence of anticorrelated activity-i.e. when DMN regions were active, this region was deactivated-in the anterior insula cortex. This same region demonstrated correlated activity with both the DMN and the regions associated with attentional control during the interest mood induction. We interpret these findings to suggest that boredom represents a failure to engage executive control networks when faced with a monotonous task-in other words, when the task demands some level of engagement (watch the movie, search for infrequent targets), but is so mundane that attempts to do so fail.

  16. Information Acquisition and Exchange in Social Networks

    NARCIS (Netherlands)

    Goyal, S.; Rosenkranz, S.|info:eu-repo/dai/nl/157222241; Weitzel, G.U.|info:eu-repo/dai/nl/276323394; Buskens, V.W.|info:eu-repo/dai/nl/181299313

    2017-01-01

    A central feature of social networks is information sharing. The Internet and related computing technologies shape the relative costs of private information acquisition and forming links with others. This paper presents an experiment on the effects of changing costs. We find that a decline in

  17. Protecting Personal Information on Social Networking Sites

    Science.gov (United States)

    Gallant, David T.

    2011-01-01

    Almost everyone uses social networking sites like Facebook, MySpace, and LinkedIn. Since Facebook is the most popular site in the history of the Internet, this article will focus on how one can protect his/her personal information and how that extends to protecting the private information of others.

  18. Sustaining a Global Social Network: a quasi-experimental study.

    Science.gov (United States)

    Benton, D C; Ferguson, S L

    2017-03-01

    To examine the longer term impact on the social network of participating nurses in the Global Nursing Leadership Institute (GNLI2013) through using differing frequencies of follow-up to assess impact on maintenance of network cohesion. Social network analysis is increasingly been used by nurse researchers, however, studies tend to use single point-in-time descriptive methods. This study utilizes a repeated measures, block group, control-intervention, quasi-experimental design. Twenty-eight nurse leaders, competitively selected through a double-blind peer review process, were allocated to five action learning-based learning groups. Network architecture, measures of cohesion and node degree frequency were all used to assess programme impact. The programme initiated and sustained connections between nurse leaders drawn from a geographically dispersed heterogeneous group. Modest inputs of two to three e-mails over a 6-month period seem sufficient to maintain connectivity as indicated by measures of network density, diameter and path length. Due to the teaching methodology used, the study sample was relatively small and the follow-up data collection took place after a relatively short time. Replication and further cohort data collection would be advantageous. In an era where many policy solutions are being debated and initiated at the global level, action learning leadership development that utilizes new technology follow-up appears to show significant impact and is worthy of wider application. The approach warrants further inquiry and testing as to its longer term effects on nursing's influence on policy formulation and implementation. © 2016 International Council of Nurses.

  19. Sustainability of the Health Management Information System in ...

    African Journals Online (AJOL)

    This study examines how Health Management Information Systems (HMIS) can be sustained in the Tanzanian context based on the experiences of Muheza and Kinondoni districts. Data for the study was collected using interviews, questionnares and document reviews. The findings show that the capability of a health facility ...

  20. An Assessment of the Sustainability of Information Technology at the ...

    African Journals Online (AJOL)

    The study recommended setting up an automation committee, with a national information policy, and a strategy to reallocate funds to support hardware and software upgrades. In conclusion, the problem of sustainability of IT is an issue that requires concerted effort by ensuring efficient and effective resource allocation, ...

  1. Sustainable theory of a logistic model - Fisher information approach.

    Science.gov (United States)

    Al-Saffar, Avan; Kim, Eun-Jin

    2017-03-01

    Information theory provides a useful tool to understand the evolution of complex nonlinear systems and their sustainability. In particular, Fisher information has been evoked as a useful measure of sustainability and the variability of dynamical systems including self-organising systems. By utilising Fisher information, we investigate the sustainability of the logistic model for different perturbations in the positive and/or negative feedback. Specifically, we consider different oscillatory modulations in the parameters for positive and negative feedback and investigate their effect on the evolution of the system and Probability Density Functions (PDFs). Depending on the relative time scale of the perturbation to the response time of the system (the linear growth rate), we demonstrate the maintenance of the initial condition for a long time, manifested by a broad bimodal PDF. We present the analysis of Fisher information in different cases and elucidate its implications for the sustainability of population dynamics. We also show that a purely oscillatory growth rate can lead to a finite amplitude solution while self-organisation of these systems can break down with an exponentially growing solution due to the periodic fluctuations in negative feedback. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. Sustaining Engagements for Integrated Heat-Health Information Systems

    Science.gov (United States)

    Trtanj, J.

    2016-12-01

    Extreme heat events are on the rise, evidenced by the record breaking heat in the summer of 2016 in the US, increased heat-related death toll in south Asia, and projections from the Intergovernmental Panel on Climate Change. The impacts, responses and adaptation to extreme heat are inherently local or region in nature and require multisector engagement to manage current and future heat risks. Understanding the character of the information demand, who needs it, when and how it is needed, how it is used, and the remaining research questions, requires sustained engagement of multiple science and decision making communities. The construct of Integrated Information Systems provides the framework that sustains this dialogue, supports the production of useful information, and the translation of knowledge to action. The National Integrated Heat Health Information System (NIHHIS), a multi-agency collaboration, working at state, local and international levels, designed to facilitate an integrated approach to providing a suite of decision support services that reduce heat-related illness and death. NIHHIS sustains engagement across the public health, emergency management, disaster risk reduction, planning, housing, communication, climate, weather and other science communities. This presentation will highlight NIHHS sustained engagements in the Rio Grande Bravo region, other NIHHIS pilots, and international efforts building on the NIHHIS framework. NIHHIS, launched by the National Oceanic and Atmospheric Administration and the Centers for Disease Control and Prevention in 2015, now has over eight Federal partners and a burgeoning mix of pilots, projects and partners at state, local and international levels.

  3. The Sustainable Development Goals and Information and Communication Technologies

    Directory of Open Access Journals (Sweden)

    Peter Jones

    2017-06-01

    Full Text Available The Sustainable Development Goals (SDGs are a wide range of global sustainable development targets for the environment, society and economy and they were launched by the United Nations in 2015. In launching the SDGs, the United Nations called on all member states to embrace what are an ambitious and demanding set of challenges but it also emphasised the vital role that businesses, would have to play if these challenges were to be met. The aim of this preliminary commentary paper is to review a number of the ways the Information Communication and Technology industry believes it can contribute to the achievement of the SDGs. The paper outlines the characteristics of the concept of sustainable development and how ICT relates to sustainable development, reviews a number of the ways two leading ICT companies, namely Ericsson and Microsoft and two industry bodies, namely the GSMA which represents the interests of mobile operators worldwide, and the Global e-Sustainability Initiative, believe they can contribute to the achievement of the SDGs. The paper also examines some of the challenges the industry may face in making such a contribution and offers some reflections on the role of ICT in promoting the transition to a more sustainable future for people and the planet.

  4. Somatic surveillance: corporeal control through information networks

    OpenAIRE

    Monahan, Torin; Wall, Tyler

    2007-01-01

    Somatic surveillance is the increasingly invasive technological monitoring of and intervention into body functions. Within this type of surveillance regime, bodies are recast as nodes on vast information networks, enabling corporeal control through remote network commands, automated responses, or self-management practices. In this paper, we investigate three developments in somatic surveillance: nanotechnology systems for soldiers on the battlefield, commercial body-monitoring systems for hea...

  5. The Collaborative and Sustainable Consumption in the Information Society

    Directory of Open Access Journals (Sweden)

    Lívia Gaigher Bósio Campello

    2016-06-01

    Full Text Available The present paper analyses the evolution of collaborative consumption, that have a direct impact on sustainability issues, in the context of information society. To that end,we start from the pathologies of consumption in modern society, go through the different implications in social, environmental and economic questions, culminating in the study of the possible alternatives viable in the digital age. In conclusion, we found that the Internet rises as a valuable instrument, within collaborative economy standards, for reaching the social, environmental and economic sustainability, driving the development of an equal, fair and solidary society.

  6. Information transfer network of global market indices

    Science.gov (United States)

    Kim, Yup; Kim, Jinho; Yook, Soon-Hyung

    2015-07-01

    We study the topological properties of the information transfer networks (ITN) of the global financial market indices for six different periods. ITN is a directed weighted network, in which the direction and weight are determined by the transfer entropy between market indices. By applying the threshold method, it is found that ITN undergoes a crossover from the complete graph to a small-world (SW) network. SW regime of ITN for a global crisis is found to be much more enhanced than that for ordinary periods. Furthermore, when ITN is in SW regime, the average clustering coefficient is found to be synchronized with average volatility of markets. We also compare the results with the topological properties of correlation networks.

  7. Optimal network modularity for information diffusion.

    Science.gov (United States)

    Nematzadeh, Azadeh; Ferrara, Emilio; Flammini, Alessandro; Ahn, Yong-Yeol

    2014-08-22

    We investigate the impact of community structure on information diffusion with the linear threshold model. Our results demonstrate that modular structure may have counterintuitive effects on information diffusion when social reinforcement is present. We show that strong communities can facilitate global diffusion by enhancing local, intracommunity spreading. Using both analytic approaches and numerical simulations, we demonstrate the existence of an optimal network modularity, where global diffusion requires the minimal number of early adopters.

  8. Networking for Education for Sustainable Development in Austria: The Austrian ECOLOG-Schools Programme

    Science.gov (United States)

    Rauch, Franz

    2016-01-01

    This case describes networking for education for sustainable development within the Austrian ECOLOG-schools network. The article presents theoretical concepts of networks in education in general, and the organization of the ECOLOG-network in particular. Based upon these foundations, the concept and results of a participatory evaluation study are…

  9. Comprehensive information system development and networking in ...

    African Journals Online (AJOL)

    Background/Aim: Hospital Information System(HIS) and Networking development is now the most important technology that must be embraced by all hospitals and clinics these days. Patients sometimes used to face problems in order to have quick and good services in the hospitals, often due to delay in searching for the ...

  10. Agricultural information systems and communication networks: the ...

    African Journals Online (AJOL)

    The study examined the Agricultural Information and communication networks among poultry farmers in three (3) area councils of the Federal Capital Territory Abuja, Nigeria. Snow-ball sampling technique was adopted for the study, a total of One hundred and twenty-two (122) respondents were sampled for the study.

  11. Application of Network Analysis for Development and Promotion of Sustainable Tourism in Public Forests

    Directory of Open Access Journals (Sweden)

    Brach Michał

    2014-06-01

    Full Text Available The issue of sustainable tourism within valuable natural areas has been extensively discussed ever since the emergence of sustainable development philosophy in the 1990s. In view of growing public interest in nature recreation and tourism development, the importance of addressing this subject matter has hitherto increased significantly. The main objective of the present paper was to offer a tool for supporting development and promotion of sustainable tourism in Poland’s forests managed by the State Forests - National Forest Holding. GIS technology, and specific tools for network analysis were used in the project. During task realization, only free and open software sources were used. The work was performed based on the example of the Forest District Żołędowo (Regional Directorate of State Forests in Toruń, Poland with the use of District’s spatial data resources. A web application was created to present information about tourist attractions and infrastructure on an interactive map with tools for route planning. As a result, there has been developed the web mapping application which provides general access to tourism related information and enables planning touristic routes by pre-specified criteria. Implemented routing algorithms can help traffic management and further protection of the areas vulnerable to anthropogenic pressures. The system created not only promotes attractive tourist sites but also, supports targeting tourist traffic, and accordingly - adds to the progress of sustainable tourism

  12. Information diffusion in structured online social networks

    Science.gov (United States)

    Li, Pei; Zhang, Yini; Qiao, Fengcai; Wang, Hui

    2015-05-01

    Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.

  13. The Value of Sustainable Knowledge Transfer Methods for SMEs, Utilizing Socio-Technical Networks and Complex Systems

    Directory of Open Access Journals (Sweden)

    Susu Nousala

    2010-12-01

    Full Text Available This paper will examine the development of sustainable SME methods for tracking tacit (informal knowledge transfer as a series of networks of larger complex system. Understanding sustainable systems begins with valuing tacit knowledge networks and their ability to produce connections on multiple levels. The behaviour of the social or socio aspects of a system in relation to the explicit formal/physical structures need to be understood and actively considered when utilizing methodologies for interacting within complex systems structures. This paper utilizes theory from several previous studies to underpin the key case study discussed. This approach involved examining the behavioural phenomena of an SME knowledge network. The knowledge network elements were highlighted to identify their value within an SME structure. To understand the value of these emergent elements from between tacit and explicit knowledge networks, is to actively, simultaneously and continuous support sustainable development for SME organizations. The simultaneous links within and between groups of organizations is crucial for understanding sustainable networking structures of complex systems.

  14. Sustainability governance of chains and networks: a review and future outlook

    NARCIS (Netherlands)

    Bush, S.R.; Oosterveer, P.J.M.; Bailey, M.L.; Mol, A.P.J.

    2015-01-01

    This paper reviews the extent to which sustainability governance has been integrated into the literature on sustainable chains and networks. The analysis brings together four main approaches to chains and network studies – supply chain management (SCM), global commodity chains (GCC), global value

  15. Improving information filtering via network manipulation

    Science.gov (United States)

    Zhang, Fuguo; Zeng, An

    2012-12-01

    The recommender system is a very promising way to address the problem of overabundant information for online users. Although the information filtering for the online commercial systems has received much attention recently, almost all of the previous works are dedicated to design new algorithms and consider the user-item bipartite networks as given and constant information. However, many problems for recommender systems such as the cold-start problem (i.e., low recommendation accuracy for the small-degree items) are actually due to the limitation of the underlying user-item bipartite networks. In this letter, we propose a strategy to enhance the performance of the already existing recommendation algorithms by directly manipulating the user-item bipartite networks, namely adding some virtual connections to the networks. Numerical analyses on two benchmark data sets, MovieLens and Netflix, show that our method can remarkably improves the recommendation performance. Specifically, it not only improves the recommendations accuracy (especially for the small-degree items), but also helps the recommender systems generate more diverse and novel recommendations.

  16. Social network analysis to cluster sociobibliometric information

    Directory of Open Access Journals (Sweden)

    Jorge Ricardo Vivas

    Full Text Available This paper examines the benefits of using Social Network Analysis in the field of sociobibliometric exploration. There are considered practical and conceptual limits and reaches. The proposal is illustrated through a study about a journals network of behavior modification by Peiró and Carpintero (1981. In this context it is shown the utility of using reticular properties of Density, Centrality, Betweenness, Power and Clusterig as indicators that allow obtaining novel and complementary information to the one extracted by the classic methods of bibliometric exploration.

  17. Data Archiving and Networked Services (DANS) promotes sustained access to digital research data

    NARCIS (Netherlands)

    van Berchum, M.; Kraaikamp, Emilie

    2015-01-01

    Data Archiving and Networked Services (DANS) promotes sustained access to digital research data. For this purpose, DANS encourages researchers to archive and reuse data in a sustained form. In the online archiving system EASY research data is stored in a permanent and sustainable manner, according

  18. Information and communication technologies for promoting and sustaining quality of life, health and self-sufficiency in ageing societies--outcomes of the Lower Saxony Research Network Design of Environments for Ageing (GAL).

    Science.gov (United States)

    Haux, Reinhold; Hein, Andreas; Kolb, Gerald; Künemund, Harald; Eichelberg, Marco; Appell, Jens-E; Appelrath, H-Jürgen; Bartsch, Christian; Bauer, Jürgen M; Becker, Marcus; Bente, Petra; Bitzer, Jörg; Boll, Susanne; Büsching, Felix; Dasenbrock, Lena; Deparade, Riana; Depner, Dominic; Elbers, Katharina; Fachinger, Uwe; Felber, Juliane; Feldwieser, Florian; Forberg, Anne; Gietzelt, Matthias; Goetze, Stefan; Gövercin, Mehmet; Helmer, Axel; Herzke, Tobias; Hesselmann, Tobias; Heuten, Wilko; Huber, Rainer; Hülsken-Giesler, Manfred; Jacobs, Gerold; Kalbe, Elke; Kerling, Arno; Klingeberg, Timo; Költzsch, Yvonne; Lammel-Polchau, Christopher; Ludwig, Wolfram; Marschollek, Michael; Martens, Birger; Meis, Markus; Meyer, Eike Michael; Meyer, Jochen; Meyer Zu Schwabedissen, Hubertus; Moritz, Niko; Müller, Heiko; Nebel, Wolfgang; Neyer, Franz J; Okken, Petra-Karin; Rahe, Julia; Remmers, Hartmut; Rölker-Denker, Lars; Schilling, Meinhard; Schöpke, Birte; Schröder, Jens; Schulze, Gisela C; Schulze, Mareike; Siltmann, Sina; Song, Bianying; Spehr, Jens; Steen, Enno-Edzard; Steinhagen-Thiessen, Elisabeth; Tanschus, Nele-Marie; Tegtbur, Uwe; Thiel, Andreas; Thoben, Wilfried; van Hengel, Peter; Wabnik, Stefan; Wegel, Sandra; Wilken, Olaf; Winkelbach, Simon; Wist, Thorben; Wolf, Klaus-Hendrik; Wolf, Lars; Zokoll-van der Laan, Melanie

    2014-01-01

    Many societies across the world are confronted with demographic changes, usually related to increased life expectancy and, often, relatively low birth rates. Information and communication technologies (ICT) may contribute to adequately support senior citizens in aging societies with respect to quality of life and quality and efficiency of health care processes. For investigating and for providing answers on whether new information and communication technologies can contribute to keeping, or even improving quality of life, health and self-sufficiency in ageing societies through new ways of living and new forms of care, the Lower Saxony Research Network Design of Environments for Ageing (GAL) had been established as a five years research project, running from 2008 to 2013. Ambient-assisted living (AAL) technologies in personal and home environments were especially important. In this article we report on the GAL project, and present some of its major outcomes after five years of research. We report on major challenges and lessons learned in running and organizing such a large, inter- and multidisciplinary project and discuss GAL in the context of related research projects. With respect to research outcomes, we have, for example, learned new knowledge about multimodal and speech-based human-machine-interaction mechanisms for persons with functional restrictions, and identified new methods and developed new algorithms for identifying activities of daily life and detecting acute events, particularly falls. A total of 79 apartments of senior citizens had been equipped with specific "GAL technology", providing new insights into the use of sensor data for smart homes. Major challenges we had to face were to deal constructively with GAL's highly inter- and multidisciplinary aspects, with respect to research into GAL's application scenarios, shifting from theory and lab experimentation to field tests, and the complexity of organizing and, in our view, successfully managing

  19. Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty

    Directory of Open Access Journals (Sweden)

    Sonia Irshad Mari

    2016-10-01

    Full Text Available Researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times. On the other hand, the supply chain manager drops sustainability objectives while coping with unexpected natural and man-made disruption risks. Hence, supply chain managers are now trying to develop sustainable supply chains that are simultaneously resilient enough to cope with disruption risks. Owing to the importance of the considered issue, this study proposed a network optimization model for a sustainable and resilient supply chain network by considering sustainability via embodied carbon footprints and carbon emissions and resilience by considering resilience index. In this paper, initially, a possibilistic fuzzy multi-objective sustainable and resilient supply chain network model is developed for the garment industry considering economic, sustainable, and resilience objectives. Secondly, a possibilistic fuzzy linguistic weight-based interactive solution method is proposed. Finally, a numerical case example is presented to show the applicability of the proposed model and solution methodology.

  20. Determining business models for financial sustainability in regional health information organizations (RHIOs): a review.

    Science.gov (United States)

    Maffei, Roxana; Burciago, Daniel; Dunn, Kim

    2009-10-01

    Regional health information organizations (RHIOs) have the potential to alleviate today's health care problems by granting providers access to a supported body of clinical information for all patients in a given region. While the promise of and enthusiasm for RHIOs is immense, the issue of their financial sustainability remains unclear. It has been said that the business model supporting a regional or national health information network is as essential, if not more essential, than the technology that makes it feasible. Currently, there is a clear lack of concrete business models implemented in RHIOs' projects. This article reports the results of a literature review of the current status of the adaptation and implementation of business models by RHIOs for successful financial sustainability. Based on the review, this article also attempts to evaluate the existing financial situation of RHIOs to determine and recommend the best models of economic sustainability. Significant findings include RHIOs' present financial environment, planning, and self-sustainability methods. Future studies will be needed as RHIOs continue to grow and move toward the implementation phase of their development.

  1. An integrated networking approach for a sustainable textile sector in Solapur, India

    Directory of Open Access Journals (Sweden)

    Vishwas N. Khatri

    2012-01-01

    Full Text Available This article addresses the environmental aspects of an unorganised textile sector with large-scale employment through a case study of the city of Solapur in the state of Maharashtra, India. Waste generated from the textile sector is causing serious problems such as changes to land and agricultural patterns, air quality, health and biodiversity. The methodology includes qualitative and quantitative data regarding the possible impact on climate, health, agriculture, biodiversity, water, air and soil. A detailed analysis was carried out through an extensive literature review. A possible solution in the form of a sustainable networking model for mitigating change is suggested. The sustainable model with integration of information and communication technology (ICT will help achieve the desired development goals. The role of ICT is to channelise the supply chain, which can increase the efficiency and competitiveness of the sector.

  2. BOUNDARY DEPTH INFORMATION USING HOPFIELD NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    S. Xu

    2016-06-01

    Full Text Available Depth information is widely used for representation, reconstruction and modeling of 3D scene. Generally two kinds of methods can obtain the depth information. One is to use the distance cues from the depth camera, but the results heavily depend on the device, and the accuracy is degraded greatly when the distance from the object is increased. The other one uses the binocular cues from the matching to obtain the depth information. It is more and more mature and convenient to collect the depth information of different scenes by stereo matching methods. In the objective function, the data term is to ensure that the difference between the matched pixels is small, and the smoothness term is to smooth the neighbors with different disparities. Nonetheless, the smoothness term blurs the boundary depth information of the object which becomes the bottleneck of the stereo matching. This paper proposes a novel energy function for the boundary to keep the discontinuities and uses the Hopfield neural network to solve the optimization. We first extract the region of interest areas which are the boundary pixels in original images. Then, we develop the boundary energy function to calculate the matching cost. At last, we solve the optimization globally by the Hopfield neural network. The Middlebury stereo benchmark is used to test the proposed method, and results show that our boundary depth information is more accurate than other state-of-the-art methods and can be used to optimize the results of other stereo matching methods.

  3. Research on Network Scanning Strategy Based on Information Granularity

    Science.gov (United States)

    Qin, Futong; Shi, Pengfei; Du, Jing; Cheng, Ruosi; Zhou, Yunyan

    2017-10-01

    As the basic mean to obtain the information of the targets network, network scanning is often used to discover the security risks and vulnerabilities existing on the network. However, with the development of network technology, the scale of network is more and more large, and the network scanning efficiency put forward higher requirements. In this paper, the concept of network scanning information granularity is proposed, and the design method of network scanning strategy based on information granularity is proposed. Based on single information granularity and hybrid information granularity, four network scanning strategies were designed and verified experimentally. Experiments show that the network scanning strategies based on hybrid information granularity can improve the efficiency of network scanning.

  4. Mapping information flow in sensorimotor networks.

    Directory of Open Access Journals (Sweden)

    Max Lungarella

    2006-10-01

    Full Text Available Biological organisms continuously select and sample information used by their neural structures for perception and action, and for creating coherent cognitive states guiding their autonomous behavior. Information processing, however, is not solely an internal function of the nervous system. Here we show, instead, how sensorimotor interaction and body morphology can induce statistical regularities and information structure in sensory inputs and within the neural control architecture, and how the flow of information between sensors, neural units, and effectors is actively shaped by the interaction with the environment. We analyze sensory and motor data collected from real and simulated robots and reveal the presence of information structure and directed information flow induced by dynamically coupled sensorimotor activity, including effects of motor outputs on sensory inputs. We find that information structure and information flow in sensorimotor networks (a is spatially and temporally specific; (b can be affected by learning, and (c can be affected by changes in body morphology. Our results suggest a fundamental link between physical embeddedness and information, highlighting the effects of embodied interactions on internal (neural information processing, and illuminating the role of various system components on the generation of behavior.

  5. Sustainable Technology Analysis of Artificial Intelligence Using Bayesian and Social Network Models

    Directory of Open Access Journals (Sweden)

    Juhwan Kim

    2018-01-01

    Full Text Available Recent developments in artificial intelligence (AI have led to a significant increase in the use of AI technologies. Many experts are researching and developing AI technologies in their respective fields, often submitting papers and patent applications as a result. In particular, owing to the characteristics of the patent system that is used to protect the exclusive rights to registered technology, patent documents contain detailed information on the developed technology. Therefore, in this study, we propose a statistical method for analyzing patent data on AI technology to improve our understanding of sustainable technology in the field of AI. We collect patent documents that are related to AI technology, and then analyze the patent data to identify sustainable AI technology. In our analysis, we develop a statistical method that combines social network analysis and Bayesian modeling. Based on the results of the proposed method, we provide a technological structure that can be applied to understand the sustainability of AI technology. To show how the proposed method can be applied to a practical problem, we apply the technological structure to a case study in order to analyze sustainable AI technology.

  6. Maximizing information exchange between complex networks

    Energy Technology Data Exchange (ETDEWEB)

    West, Bruce J. [Mathematical and Information Science, Army Research Office, Research Triangle Park, NC 27708 (United States); Physics Department, Duke University, Durham, NC 27709 (United States)], E-mail: bwest@nc.rr.com; Geneston, Elvis L. [Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, TX 76203-1427 (United States); Physics Department, La Sierra University, 4500 Riverwalk Parkway, Riverside, CA 92515 (United States); Grigolini, Paolo [Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, TX 76203-1427 (United States); Istituto di Processi Chimico Fisici del CNR, Area della Ricerca di Pisa, Via G. Moruzzi, 56124, Pisa (Italy); Dipartimento di Fisica ' E. Fermi' Universita' di Pisa, Largo Pontecorvo 3, 56127 Pisa (Italy)

    2008-10-15

    modern research overarching all of the traditional scientific disciplines. The transportation networks of planes, highways and railroads; the economic networks of global finance and stock markets; the social networks of terrorism, governments, businesses and churches; the physical networks of telephones, the Internet, earthquakes and global warming and the biological networks of gene regulation, the human body, clusters of neurons and food webs, share a number of apparently universal properties as the networks become increasingly complex. Ubiquitous aspects of such complex networks are the appearance of non-stationary and non-ergodic statistical processes and inverse power-law statistical distributions. Herein we review the traditional dynamical and phase-space methods for modeling such networks as their complexity increases and focus on the limitations of these procedures in explaining complex networks. Of course we will not be able to review the entire nascent field of network science, so we limit ourselves to a review of how certain complexity barriers have been surmounted using newly applied theoretical concepts such as aging, renewal, non-ergodic statistics and the fractional calculus. One emphasis of this review is information transport between complex networks, which requires a fundamental change in perception that we express as a transition from the familiar stochastic resonance to the new concept of complexity matching.

  7. Maximizing information exchange between complex networks

    Science.gov (United States)

    West, Bruce J.; Geneston, Elvis L.; Grigolini, Paolo

    2008-10-01

    modern research overarching all of the traditional scientific disciplines. The transportation networks of planes, highways and railroads; the economic networks of global finance and stock markets; the social networks of terrorism, governments, businesses and churches; the physical networks of telephones, the Internet, earthquakes and global warming and the biological networks of gene regulation, the human body, clusters of neurons and food webs, share a number of apparently universal properties as the networks become increasingly complex. Ubiquitous aspects of such complex networks are the appearance of non-stationary and non-ergodic statistical processes and inverse power-law statistical distributions. Herein we review the traditional dynamical and phase-space methods for modeling such networks as their complexity increases and focus on the limitations of these procedures in explaining complex networks. Of course we will not be able to review the entire nascent field of network science, so we limit ourselves to a review of how certain complexity barriers have been surmounted using newly applied theoretical concepts such as aging, renewal, non-ergodic statistics and the fractional calculus. One emphasis of this review is information transport between complex networks, which requires a fundamental change in perception that we express as a transition from the familiar stochastic resonance to the new concept of complexity matching.

  8. Network information improves cancer outcome prediction.

    Science.gov (United States)

    Roy, Janine; Winter, Christof; Isik, Zerrin; Schroeder, Michael

    2014-07-01

    Disease progression in cancer can vary substantially between patients. Yet, patients often receive the same treatment. Recently, there has been much work on predicting disease progression and patient outcome variables from gene expression in order to personalize treatment options. Despite first diagnostic kits in the market, there are open problems such as the choice of random gene signatures or noisy expression data. One approach to deal with these two problems employs protein-protein interaction networks and ranks genes using the random surfer model of Google's PageRank algorithm. In this work, we created a benchmark dataset collection comprising 25 cancer outcome prediction datasets from literature and systematically evaluated the use of networks and a PageRank derivative, NetRank, for signature identification. We show that the NetRank performs significantly better than classical methods such as fold change or t-test. Despite an order of magnitude difference in network size, a regulatory and protein-protein interaction network perform equally well. Experimental evaluation on cancer outcome prediction in all of the 25 underlying datasets suggests that the network-based methodology identifies highly overlapping signatures over all cancer types, in contrast to classical methods that fail to identify highly common gene sets across the same cancer types. Integration of network information into gene expression analysis allows the identification of more reliable and accurate biomarkers and provides a deeper understanding of processes occurring in cancer development and progression. © The Author 2012. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  9. INFORMATION SOCIETY AND FINANCIAL SUSTAINABILITY OF THE ROMANIAN HEALTH SYSTEM

    Directory of Open Access Journals (Sweden)

    TATIANA BOGDAN

    2016-06-01

    Full Text Available The financial sustainability of the health systems often reveals the ability of policy makers to finance healthcare in the face of growing cost pressures, with populations ageing, new technologies and increased patient expectations for healthcare coverage and quality. Thus, the healthcare systems need to reinvent themselves by using innovative financing mechanisms coupled with electronic information and communication systems, while offering greater transparency, flexibility and choice and increasing access to the services available. The paper analyses the healthcare financing models: the national health system, the social insurance or the private insurance model so that the Romanian health care reform should preserve the best elements of its existing system while selectively adapt techniques and processes that seemed to have been successful in other countries. Moreover, the application of information and communication technologies – eHealth offers new possibilities for improving almost every aspect of healthcare, from making medical systems more powerful and responsive to providing better health information to all.

  10. Integrating Information Networks for Collective Planetary Stewardship

    Science.gov (United States)

    Tiwari, A.

    2016-12-01

    Responsible behaviour resulting from climate literacy in global environmental movement is limited to policy and planning institutions in the Global South, while remaining absent for ends-user. Thus, planetary stewardship exists only at earth system boundaries where pressures sink to the local scale while ethics remains afloat. Existing citizen participation is restricted within policy spheres, appearing synonymous to enforcements in social psychology. Much, accounted reason is that existing information mechanisms operate mostly through linear exchanges between institutions and users, therefore reinforcing only hierarchical relationships. This study discloses such relationships that contribute to broad networking gaps through information demand assessment of stakeholders in a dozen development projects based in South Asia. Two parameters widely used for this purpose are: a. Feedback: Ends-user feedback to improve consumption literacy of climate sensitive resources (through consumption displays, billing, advisory services ecolabelling, sensors) and, b. Institutional Policy: Rewarding punishing to enforce desired behaviour (subsidies, taxation). Research answered: 1. Who gets the information (Equity in Information Distribution)? As existing information publishing mechanisms are designed by and for analysts, 2. How information translates to climate action Transparency of Execution)? Findings suggested that climate goals manifested in economic policy, than environmental policy, have potential clear short-term benefits and costs, and coincide with people's economic goals Also grassroots roles for responsible behaviour are empowered with presence of end user information. Barier free climate communication process and decision making is ensured among multiplicity of stakeholders with often conflicting perspectives. Research finds significance where collaboration among information networks can better translate regional policies into local action for climate adaptation and

  11. Informational governance - A systematic literature review of governance for sustainability in the Information Age

    NARCIS (Netherlands)

    Soma, Katrine; Termeer, Katrien; Opdam, Paul

    2016-01-01

    The rapid developments in all kinds of new information technologies, information networks and social media are increasingly affecting societies around the world. The so termed Information Age not only influences social relationships, economy and science, but also governance. Against this

  12. Application of molecular information in sustainable animal breeding

    Directory of Open Access Journals (Sweden)

    Dirk-Jan de Koning

    2008-07-01

    Full Text Available Livestock genomics is aimed at dissecting the genetic control of variation in economically important trait, such as disease resistance and product yield/quality. Unraveling the genetic control of such complex traits remains very challenging but farm animals are now well placed to bridge the gap between human biology and traditional model species. Livestock species share with model species the benefits of controlled breeding, while their biology is often much closer to that of humans. Livestock genetics can exploit the abundant genetic variation between divergent breeds as well as segregating variation within breeds, thus getting the best of both worlds. Large numbers of QTL have been detected for a variety of traits but for only a handful has the functional DNA mutation been discovered. The main challenge is how to exploit this information for sustainable animal breeding. The proposed applications for Marker Assisted Selection (MAS vary from selecting on individual known mutations to using genome-wide SNP data for genome-wide selection. Molecular markers are also important tools to assess genetic variation within and between populations. Sustainable animal breeding should meet the needs of the current generation without compromising the needs of future generations. This contribution will discuss the status of molecular genetics in livestock and how this could support sustainable animal breeding.

  13. Underpinning sustainable vector control through informed insecticide resistance management.

    Science.gov (United States)

    Thomsen, Edward K; Strode, Clare; Hemmings, Kay; Hughes, Angela J; Chanda, Emmanuel; Musapa, Mulenga; Kamuliwo, Mulakwa; Phiri, Faustina N; Muzia, Lucy; Chanda, Javan; Kandyata, Alister; Chirwa, Brian; Poer, Kathleen; Hemingway, Janet; Wondji, Charles S; Ranson, Hilary; Coleman, Michael

    2014-01-01

    There has been rapid scale-up of malaria vector control in the last ten years. Both of the primary control strategies, long-lasting pyrethroid treated nets and indoor residual spraying, rely on the use of a limited number of insecticides. Insecticide resistance, as measured by bioassay, has rapidly increased in prevalence and has come to the forefront as an issue that needs to be addressed to maintain the sustainability of malaria control and the drive to elimination. Zambia's programme reported high levels of resistance to the insecticides it used in 2010, and, as a result, increased its investment in resistance monitoring to support informed resistance management decisions. A country-wide survey on insecticide resistance in Zambian malaria vectors was performed using WHO bioassays to detect resistant phenotypes. Molecular techniques were used to detect target-site mutations and microarray to detect metabolic resistance mechanisms. Anopheles gambiae s.s. was resistant to pyrethroids, DDT and carbamates, with potential organophosphate resistance in one population. The resistant phenotypes were conferred by both target-site and metabolic mechanisms. Anopheles funestus s.s. was largely resistant to pyrethroids and carbamates, with potential resistance to DDT in two locations. The resistant phenotypes were conferred by elevated levels of cytochrome p450s. Currently, the Zambia National Malaria Control Centre is using these results to inform their vector control strategy. The methods employed here can serve as a template to all malaria-endemic countries striving to create a sustainable insecticide resistance management plan.

  14. International Conference on Information and Communication Technology for Sustainable Development

    CERN Document Server

    Joshi, Amit; Modi, Nilesh; Pathak, Nisarg

    2016-01-01

    The two volumes of this book collect high-quality peer-reviewed research papers presented in the International Conference on ICT for Sustainable Development (ICT4SD 2015) held at Ahmedabad, India during 3 – 4 July 2015. The book discusses all areas of Information and Communication Technologies and its applications in field for engineering and management. The main focus of the volumes are on applications of ICT for Infrastructure, e-Governance, and contemporary technologies advancements on Data Mining, Security, Computer Graphics, etc. The objective of this International Conference is to provide an opportunity for the researchers, academicians, industry persons and students to interact and exchange ideas, experience and expertise in the current trend and strategies for Information and Communication Technologies.

  15. Profile: the Philippine Population Information Network.

    Science.gov (United States)

    1991-06-01

    The profile of Philippine Population Information Network (POPIN) is described in this article as having changed management structure from the Population Center Foundation to the Government's Population Commission, Information Management and Research Division (IMRD) in 1989. This restructuring resulted in the transfer in 1990 of the Department of Social Welfare and Development to the Office of the President. POPIN also serves Asia/Pacific POPIN. POPCOM makes policy and coordinates and monitors population activities. POPIN's goal is to improve the flow and utilization of population information nationwide. The National Population Library was moved in 1989 to the POPCOM Central Office Building and became the Philippine Information Center. The collection includes 6000 books, 400 research reports, and 4000 other documents (brochures, reprints, conference materials, and so on); 42 video tapes about the Philippine population program and a cassette player are available. In 1989, 14 regional centers were set up in POPCOM regional offices and designated Regional Population Information Centers. There are also school-based information centers operating as satellite information centers. The Regional and school-based centers serve the purpose of providing technical information through collection development, cataloguing, classification, storage and retrieval, and circulation. The target users are policy makers, government and private research agencies, researchers, and faculty and students. Publications developed and produced by the Center include the 3rd Supplement of the Union Catalogue of Population Literature, the 1987-88 Annotated Bibliography of Philippine Population Literature (PPL), the forthcoming 1989-90 edition of the Annotated Bibliography of PPL, and a biyearly newsletter, POPINEWS. Microcomputers have been acquired for the Regional Centers, with the idea of computerizing POPIN. Computer upgrading is also being done within the IMRD to provide POPLINE CD

  16. Leveraging Educational, Research and Facility Expertise to Improve Global Seismic Monitoring: Preparing a Guide on Sustainable Networks

    Science.gov (United States)

    Nybade, A.; Aster, R.; Beck, S.; Ekstrom, G.; Fischer, K.; Lerner-Lam, A.; Meltzer, A.; Sandvol, E.; Willemann, R. J.

    2008-12-01

    Building a sustainable earthquake monitoring system requires well-informed cooperation between commercial companies that manufacture components or deliver complete systems and the government or other agencies that will be responsible for operating them. Many nations or regions with significant earthquake hazard lack the financial, technical, and human resources to establish and sustain permanent observatory networks required to return the data needed for hazard mitigation. Government agencies may not be well- informed about the short-term and long-term challenges of managing technologically advanced monitoring systems, much less the details of how they are built and operated. On the relatively compressed time scale of disaster recovery efforts, it can be difficult to find a reliable, disinterested source of information, without which government agencies may be dependent on partial information. If system delivery fails to include sufficient development of indigenous expertise, the performance of local and regional networks may decline quickly, and even data collected during an early high-performance period may be degraded or lost. Drawing on unsurpassed educational capabilities of its members working in close cooperation with its facility staff, IRIS is well prepared to contribute to sustainability through a wide variety of training and service activities that further promote standards for network installation, data exchange protocols, and free and open access to data. Members of the Consortium and staff of its Core Programs together could write a guide on decisions about network design, installation and operation. The intended primary audience would be government officials seeking to understand system requirements, the acquisition and installation process, and the expertise needed operate a system. The guide would cover network design, procurement, set-up, data use and archiving. Chapters could include advice on network data processing, archiving data (including

  17. Future Wireless Networks and Information Systems Volume 1

    CERN Document Server

    2012-01-01

    This volume contains revised and extended research articles written by prominent researchers participating in ICFWI 2011 conference. The 2011 International Conference on Future Wireless Networks and Information Systems (ICFWI 2011) has been held on November 30 ~ December 1, 2011, Macao, China. Topics covered include Wireless Information Networks, Wireless Networking Technologies, Mobile Software and Services, intelligent computing, network management, power engineering, control engineering, Signal and Image Processing, Machine Learning, Control Systems and Applications, The book will offer the states of arts of tremendous advances in Wireless Networks and Information Systems and also serve as an excellent reference work for researchers and graduate students working on Wireless Networks and Information Systems.

  18. Participatory evaluation of a community-academic partnership to inform capacity-building and sustainability.

    Science.gov (United States)

    Simmons, Vani Nath; Klasko, Lynne B; Fleming, Khaliah; Koskan, Alexis M; Jackson, Nia T; Noel-Thomas, Shalewa; Luque, John S; Vadaparampil, Susan T; Lee, Ji-Hyun; Quinn, Gwendolyn P; Britt, Lounell; Waddell, Rhondda; Meade, Cathy D; Gwede, Clement K

    2015-10-01

    The Tampa Bay Community Cancer Network (TBCCN) was formed as a partnership comprised of committed community based organizations (grassroots, service, health care organizations) and a National Cancer Institute designated cancer center working together to reduce cancer health disparities. Adhering to principles of community-based participatory research, TBCCN's primary aims are to develop and sustain outreach, training, and research programs that aim to reach medically underserved, multicultural and multilingual populations within the Tampa Bay tri-county area. Using a participatory evaluation approach, we recently evaluated the partnerships' priorities for cancer education and outreach; perspectives on the partnerships' adherence to CBPR principles; and suggestions for sustaining TBCCN and its efforts. The purpose of this paper is to describe implementation and outcomes of this participatory evaluation of a community/academic partnership, and to illustrate the application of evaluation findings for partnership capacity-building and sustainability. Our evaluation provides evidence for partners' perceived benefits and realized expectations of the partnership and illustrates the value of ongoing and continued partnership assessment to directly inform program activities and build community capacity and sustainability. Copyright © 2015 Elsevier Ltd. All rights reserved.

  19. A conceptual framework for analyzing sustainability strategies in industrial supply networks from an innovation perspective.

    NARCIS (Netherlands)

    van Bommel, H.W.M.; van Bommel, Harrie W.M.

    2011-01-01

    This article proposes a new conceptual framework concerning the implementation of sustainability in supply networks from an innovation perspective. Based upon a recent qualitative literature review in environmental, social/ethical and logistics/operations management journals, this article summarizes

  20. Research Award: Information and Networks (I&N) Deadline ...

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

    arashid

    2011-09-12

    Sep 12, 2011 ... What are the limitations of openness models in reducing poverty or achieving networked societies? What role do collaborative technologies (e.g. social media) play in social innovation and change? Which policies and regulations are needed to sustain inclusive and innovative network societies?

  1. Dynamic Group Management Scheme for Sustainable and Secure Information Sensing in IoT

    Directory of Open Access Journals (Sweden)

    Hyungjoo Kim

    2016-10-01

    Full Text Available The services provided to users in the environment associated with the Internet of Things (hereinafter referred to as IoT begin with the information collected from sensors. It is imperative to transmit high-quality sensor data for providing better services. It is also required to collect data only from those authenticated sensors. Moreover, it is imperative to collect high-quality data on a sustainable and continuous basis in order to provide services anytime and anywhere in the IoT environment. Therefore, high-quality, authenticated sensor networks should be constructed. The most prominent routing protocol to enhance the energy consumption efficiency for the sustainable data collection in a sensor network is the LEACH routing protocol. The LEACH routing protocol transmits sensor data by measuring the energy of sensors and allocating sensor groups dynamically. However, these sensor networks have vulnerabilities such as key leakage, eavesdropping, replay attack and relay attack, given the nature of wireless network communication. A large number of security techniques have been studied in order to solve these vulnerabilities. Nonetheless, these studies still cannot support the dynamic sensor group allocation of the LEACH routing protocol. Furthermore, they are not suitable for the sensor nodes whose hardware computing ability and energy resources are limited. Therefore, this paper proposed a group sensor communication protocol that utilizes only the four fundamental arithmetic operations and logical operation for the sensor node authentication and secure data transmission. Through the security analysis, this paper verified that the proposed scheme was secure to the vulnerabilities resulting from the nature of wireless network communication. Moreover, this paper verified through the performance analysis that the proposed scheme could be utilized efficiently.

  2. A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

    Science.gov (United States)

    Science has a critical role to play in guiding more sustainable development trajectories. Here we present the Sustainable Amazon Network (Rede Amazônia Sustentável, RAS): a multi-disciplinary research initiative involving more than 30 partner organisations working to assess both ...

  3. Optimizing online social networks for information propagation.

    Directory of Open Access Journals (Sweden)

    Duan-Bing Chen

    Full Text Available Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.

  4. Optimizing online social networks for information propagation.

    Science.gov (United States)

    Chen, Duan-Bing; Wang, Guan-Nan; Zeng, An; Fu, Yan; Zhang, Yi-Cheng

    2014-01-01

    Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.

  5. Utilization of Live Localized Weather Information for Sustainable Agriculture

    Science.gov (United States)

    Anderson, J.; Usher, J.

    2010-09-01

    Authors: Jim Anderson VP, Global Network and Business Development WeatherBug® Professional Jeremy Usher Managing Director, Europe WeatherBug® Professional Localized, real-time weather information is vital for day-to-day agronomic management of all crops. The challenge for agriculture is twofold in that local and timely weather data is not often available for producers and farmers, and it is not integrated into decision-support tools they require. Many of the traditional sources of weather information are not sufficient for agricultural applications because of the long distances between weather stations, meaning the data is not always applicable for on-farm decision making processes. The second constraint with traditional weather information is the timeliness of the data. Most delivery systems are designed on a one-hour time step, whereas many decisions in agriculture are based on minute-by-minute weather conditions. This is especially true for decisions surrounding chemical and fertilizer application and frost events. This presentation will outline how the creation of an agricultural mesonet (weather network) can enable producers and farmers with live, local weather information from weather stations installed in farm/field locations. The live weather information collected from each weather station is integrated into a web-enabled decision support tool, supporting numerous on-farm agronomic activities such as pest management, or dealing with heavy rainfall and frost events. Agronomic models can be used to assess the potential of disease pressure, enhance the farmer's abilities to time pesticide applications, or assess conditions contributing to yield and quality fluctuations. Farmers and industry stakeholders may also view quality-assured historical weather variables at any location. This serves as a record-management tool for viewing previously uncharted agronomic weather events in graph or table form. This set of weather tools is unique and provides a

  6. Underpinning sustainable vector control through informed insecticide resistance management.

    Directory of Open Access Journals (Sweden)

    Edward K Thomsen

    Full Text Available There has been rapid scale-up of malaria vector control in the last ten years. Both of the primary control strategies, long-lasting pyrethroid treated nets and indoor residual spraying, rely on the use of a limited number of insecticides. Insecticide resistance, as measured by bioassay, has rapidly increased in prevalence and has come to the forefront as an issue that needs to be addressed to maintain the sustainability of malaria control and the drive to elimination. Zambia's programme reported high levels of resistance to the insecticides it used in 2010, and, as a result, increased its investment in resistance monitoring to support informed resistance management decisions.A country-wide survey on insecticide resistance in Zambian malaria vectors was performed using WHO bioassays to detect resistant phenotypes. Molecular techniques were used to detect target-site mutations and microarray to detect metabolic resistance mechanisms. Anopheles gambiae s.s. was resistant to pyrethroids, DDT and carbamates, with potential organophosphate resistance in one population. The resistant phenotypes were conferred by both target-site and metabolic mechanisms. Anopheles funestus s.s. was largely resistant to pyrethroids and carbamates, with potential resistance to DDT in two locations. The resistant phenotypes were conferred by elevated levels of cytochrome p450s.Currently, the Zambia National Malaria Control Centre is using these results to inform their vector control strategy. The methods employed here can serve as a template to all malaria-endemic countries striving to create a sustainable insecticide resistance management plan.

  7. Analytic network process model for sustainable lean and green manufacturing performance indicator

    Science.gov (United States)

    Aminuddin, Adam Shariff Adli; Nawawi, Mohd Kamal Mohd; Mohamed, Nik Mohd Zuki Nik

    2014-09-01

    Sustainable manufacturing is regarded as the most complex manufacturing paradigm to date as it holds the widest scope of requirements. In addition, its three major pillars of economic, environment and society though distinct, have some overlapping among each of its elements. Even though the concept of sustainability is not new, the development of the performance indicator still needs a lot of improvement due to its multifaceted nature, which requires integrated approach to solve the problem. This paper proposed the best combination of criteria en route a robust sustainable manufacturing performance indicator formation via Analytic Network Process (ANP). The integrated lean, green and sustainable ANP model can be used to comprehend the complex decision system of the sustainability assessment. The finding shows that green manufacturing is more sustainable than lean manufacturing. It also illustrates that procurement practice is the most important criteria in the sustainable manufacturing performance indicator.

  8. A fuzzy multi-objective optimization model for sustainable reverse logistics network design

    DEFF Research Database (Denmark)

    Govindan, Kannan; Paam, Parichehr; Abtahi, Amir Reza

    2016-01-01

    Decreasing the environmental impact, increasing the degree of social responsibility, and considering the economic motivations of organizations are three significant features in designing a reverse logistics network under sustainability respects. Developing a model, which can simultaneously consider...... a multi-echelon multi-period multi-objective model for a sustainable reverse logistics network. To reflect all aspects of sustainability, we try to minimize the present value of costs, as well as environmental impacts, and optimize the social responsibility as objective functions of the model. In order...

  9. Understanding Farmers Information Network Implication For Effective Extension Delivery In Akwa Ibom State

    Directory of Open Access Journals (Sweden)

    Odoemelam

    2015-01-01

    Full Text Available ABSTRACT Appropriateness of information is a critical factor needed to stimulate the right knowledge and attitude of farmers towards sustainable transformation of agriculture. The study investigated the information network that exists among rural communities in Akwa-Ibom States and its implication for effective extension delivery. Even though AKADEPAkwa-Ibom State Agricultural Development Programmes are highly involved in the dissemination process it is important to analyze the information networks of the farmers to improve exchange of information with the following specific objectives identify the different wealth groups in the study area ascertain the information networks that exists in the area analyze the different information types and assess the strength and weakness of the information sources. Data were generated through Focus Group Discussion and Participatory Observation employing different methodologies like wealth ranking information diagram and linkage matrix analysis using Likerts scale type. Data generated were analyzed with simple descriptive statistics and means. Major results show that in wealth ranking two groups of respondents were identified the female households with mean score between 1.9 and male headed household with mean score of 2.00 2.99. on information network farmer to farmer with 21 market 14 church 15 were highest source of their information network. On perceived weakness and strength of the information network the information quality frequency of use timeliness of information flow and link up of information were adequate while reliability of information was not adequate. The results show that intra community information flow was suitable and accessible to rich farmers while inaccessible and often irrelevant to poor farmers. Therefore in the face of threat to food insecurity prevalent in the country it is important to put in place a platform that will afford farmers to ask questions and get substantive responses

  10. 76 FR 37139 - Notice of Submission of Proposed Information Collection to OMB Sustainable Communities Regional...

    Science.gov (United States)

    2011-06-24

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT Notice of Submission of Proposed Information Collection to OMB Sustainable Communities... regarding the Sustainable Communities Regional Planning Grant Program NOFA applications to ensure that...

  11. Analysis of Computer Network Information Based on "Big Data"

    Science.gov (United States)

    Li, Tianli

    2017-11-01

    With the development of the current era, computer network and large data gradually become part of the people's life, people use the computer to provide convenience for their own life, but at the same time there are many network information problems has to pay attention. This paper analyzes the information security of computer network based on "big data" analysis, and puts forward some solutions.

  12. VIOLIN: vaccine investigation and online information network.

    Science.gov (United States)

    Xiang, Zuoshuang; Todd, Thomas; Ku, Kim P; Kovacic, Bethany L; Larson, Charles B; Chen, Fang; Hodges, Andrew P; Tian, Yuying; Olenzek, Elizabeth A; Zhao, Boyang; Colby, Lesley A; Rush, Howard G; Gilsdorf, Janet R; Jourdian, George W; He, Yongqun

    2008-01-01

    Vaccines are among the most efficacious and cost-effective tools for reducing morbidity and mortality caused by infectious diseases. The vaccine investigation and online information network (VIOLIN) is a web-based central resource, allowing easy curation, comparison and analysis of vaccine-related research data across various human pathogens (e.g. Haemophilus influenzae, human immunodeficiency virus (HIV) and Plasmodium falciparum) of medical importance and across humans, other natural hosts and laboratory animals. Vaccine-related peer-reviewed literature data have been downloaded into the database from PubMed and are searchable through various literature search programs. Vaccine data are also annotated, edited and submitted to the database through a web-based interactive system that integrates efficient computational literature mining and accurate manual curation. Curated information includes general microbial pathogenesis and host protective immunity, vaccine preparation and characteristics, stimulated host responses after vaccination and protection efficacy after challenge. Vaccine-related pathogen and host genes are also annotated and available for searching through customized BLAST programs. All VIOLIN data are available for download in an eXtensible Markup Language (XML)-based data exchange format. VIOLIN is expected to become a centralized source of vaccine information and to provide investigators in basic and clinical sciences with curated data and bioinformatics tools for vaccine research and development. VIOLIN is publicly available at http://www.violinet.org.

  13. Deep Space Network information system architecture study

    Science.gov (United States)

    Beswick, C. A.; Markley, R. W. (Editor); Atkinson, D. J.; Cooper, L. P.; Tausworthe, R. C.; Masline, R. C.; Jenkins, J. S.; Crowe, R. A.; Thomas, J. L.; Stoloff, M. J.

    1992-01-01

    The purpose of this article is to describe an architecture for the DSN information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990's. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies--i.e., computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control.

  14. Opportunistic Beacon Networks: Information Dissemination via Wireless Network Identifiers

    NARCIS (Netherlands)

    Türkes, Okan; Scholten, Johan; Havinga, Paul J.M.

    2016-01-01

    This paper presents OBN, a universal opportunistic ad hoc networking model particularly intended for smart mobile devices. It enables fast and lightweight data dissemination in wireless community networks through the utilization of universally-available wireless network identifiers. As a ubiquitous

  15. Business information query expansion through semantic network

    Science.gov (United States)

    Gong, Zhiguo; Muyeba, Maybin; Guo, Jingzhi

    2010-02-01

    In this article, we propose a method for business information query expansions. In our approach, hypernym/hyponymy and synonym relations in WordNet are used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest terms in the WordNet hierarchies with hypernym and synonym, the lowest terms with hyponym and synonym and all other terms with only synonym. In this way, the contradictory caused by full expansion can be well controlled. Furthermore, we use collection-related term semantic network to further improve the expansion performance. And our experiment reveals that our solution for query expansion can improve the query performance dramatically.

  16. European network for health technology assessment, EUnetHTA: planning, development, and implementation of a sustainable European network for health technology assessment.

    Science.gov (United States)

    Kristensen, Finn Børlum; Mäkelä, Marjukka; Neikter, Susanna Allgurin; Rehnqvist, Nina; Håheim, Lise Lund; Mørland, Berit; Milne, Ruairidh; Nielsen, Camilla Palmhøj; Busse, Reinhard; Lee-Robin, Sun Hae; Wild, Claudia; Espallargues, Mireia; Chamova, Julia

    2009-12-01

    The European network on Health Technology Assessment (EUnetHTA) aimed to produce tangible and practical results to be used in the various phases of health technology assessment and to establish a framework and processes to support this. This article presents the background, objectives, and organization of EUnetHTA, which involved a total of sixty-four partner organizations. Establishing an effective and sustainable structure for a transnational network involved many managerial, policy, and methodological tools, according to the objective of each task or Work Package. Transparency in organization, financial transactions, and decision making was a key principle in the management of the Project as was the commitment to appropriately involve stakeholders. EUnetHTA activities resulted in a clear management and governance structure, efficient partnership, and transnational cooperation. The Project developed a model for sustainable continuation of the EUnetHTA Collaboration. The EUnetHTA Project achieved its goals by producing a suite of practical tools, a strong network, and plans for continuing the work in a sustainable EUnetHTA Collaboration that facilitates and promotes the use of HTA at national and regional levels. Responsiveness to political developments in Europe should be balanced with maintaining a high level of ambition to promote independent, evidence-based information and well-tested tools for best practice based on a strong network of HTA institutions.

  17. A robust evaluation of sustainability initiatives with analytic network process (ANP

    Directory of Open Access Journals (Sweden)

    Lanndon Ocampo

    2015-07-01

    Full Text Available This paper presents a methodology on evaluating sustainable manufacturing initiatives using analytic network process (ANP as its base.The evaluation method is anchored on the comprehensive sustainable manufacturing framework proposed recently in literature. A numerical example that involves an evaluation of five sustainable manufacturing initiatives is shown in this work. Results show that sustainable manufacturing implies enhancing customer and community well-being by means of addressing environmental issues related to pollution due to toxic substances, greenhouse gas emissions and air emissions. To test the robustness of the results, two approaches are introduced in this work: (1 using Monte Carlo simulation and (2 introducing structural changes on the evaluation model. It suggests that the results are robust to random variations and to marginal changes of the network structure. The contribution of this work lies on presenting a sustainable manufacturing evaluation approach that addresses complexity and robustness in decision-making. 

  18. THE SOCIAL NETWORK SITES AND THE GOVERNANCE OF THE SUSTAINABLE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Cristian Moisoiu

    2013-11-01

    Full Text Available The social network sites are becoming more and more complex communities of social dialogue, involving themselves in the governance processes. The stakeholders in different fields are getting engaged to rebuild the institutional capacity and the consensus process. The present paper tries to analyse few mechanisms that enforce online social network sites to play a role in the sustainable development governance. Is there a possibility for these virtual communities to become useful instruments of sustainable development? Do have the social networks the capacity to command and control the economic activity?

  19. Multimodal network design for sustainable household plastic recycling

    NARCIS (Netherlands)

    Bing Xiaoyun, Xiaoyun; Groot, J.J.; Bloemhof, J.M.; Vorst, van der J.G.A.J.

    2013-01-01

    Purpose – This research studies a plastic recycling system from a reverse logistics angle and investigates the potential benefits of a multimodality strategy to the network design of plastic recycling. This research aims to quantify the impact of multimodality on the network, to provide decision

  20. Modeling the reemergence of information diffusion in social network

    Science.gov (United States)

    Yang, Dingda; Liao, Xiangwen; Shen, Huawei; Cheng, Xueqi; Chen, Guolong

    2018-01-01

    Information diffusion in networks is an important research topic in various fields. Existing studies either focus on modeling the process of information diffusion, e.g., independent cascade model and linear threshold model, or investigate information diffusion in networks with certain structural characteristics such as scale-free networks and small world networks. However, there are still several phenomena that have not been captured by existing information diffusion models. One of the prominent phenomena is the reemergence of information diffusion, i.e., a piece of information reemerges after the completion of its initial diffusion process. In this paper, we propose an optimized information diffusion model by introducing a new informed state into traditional susceptible-infected-removed model. We verify the proposed model via simulations in real-world social networks, and the results indicate that the model can reproduce the reemergence of information during the diffusion process.

  1. Quantum Information Processing with Modular Networks

    Science.gov (United States)

    Crocker, Clayton; Inlek, Ismail V.; Hucul, David; Sosnova, Ksenia; Vittorini, Grahame; Monroe, Chris

    2015-05-01

    Trapped atomic ions are qubit standards for the production of entangled states in quantum information science and metrology applications. Trapped ions can exhibit very long coherence times, external fields can drive strong local interactions via phonons, and remote qubits can be entangled via photons. Transferring quantum information across spatially separated ion trap modules for a scalable quantum network architecture relies on the juxtaposition of both phononic and photonic buses. We report the successful combination of these protocols within and between two ion trap modules on a unit structure of this architecture where the remote entanglement generation rate exceeds the experimentally measured decoherence rate. Additionally, we report an experimental implementation of a technique to maintain phase coherence between spatially and temporally distributed quantum gate operations, a crucial prerequisite for scalability. Finally, we discuss our progress towards addressing the issue of uncontrolled cross-talk between photonic qubits and memory qubits by implementing a second ion species, Barium, to generate the photonic link. This work is supported by the ARO with funding from the IARPA MQCO program, the DARPA Quiness Program, the ARO MURI on Hybrid Quantum Circuits, the AFOSR MURI on Quantum Transduction, and the NSF Physics Frontier Center at JQI.

  2. Information filtering in evolving online networks

    Science.gov (United States)

    Chen, Bo-Lun; Li, Fen-Fen; Zhang, Yong-Jun; Ma, Jia-Lin

    2018-02-01

    Recommender systems use the records of users' activities and profiles of both users and products to predict users' preferences in the future. Considerable works towards recommendation algorithms have been published to solve the problems such as accuracy, diversity, congestion, cold-start, novelty, coverage and so on. However, most of these research did not consider the temporal effects of the information included in the users' historical data. For example, the segmentation of the training set and test set was completely random, which was entirely different from the real scenario in recommender systems. More seriously, all the objects are treated as the same, regardless of the new, the popular or obsoleted products, so do the users. These data processing methods always lose useful information and mislead the understanding of the system's state. In this paper, we detailed analyzed the difference of the network structure between the traditional random division method and the temporal division method on two benchmark data sets, Netflix and MovieLens. Then three classical recommendation algorithms, Global Ranking method, Collaborative Filtering and Mass Diffusion method, were employed. The results show that all these algorithms became worse in all four key indicators, ranking score, precision, popularity and diversity, in the temporal scenario. Finally, we design a new recommendation algorithm based on both users' and objects' first appearance time in the system. Experimental results showed that the new algorithm can greatly improve the accuracy and other metrics.

  3. New scaling relation for information transfer in biological networks

    Science.gov (United States)

    Kim, Hyunju; Davies, Paul; Walker, Sara Imari

    2015-01-01

    We quantify characteristics of the informational architecture of two representative biological networks: the Boolean network model for the cell-cycle regulatory network of the fission yeast Schizosaccharomyces pombe (Davidich et al. 2008 PLoS ONE 3, e1672 (doi:10.1371/journal.pone.0001672)) and that of the budding yeast Saccharomyces cerevisiae (Li et al. 2004 Proc. Natl Acad. Sci. USA 101, 4781–4786 (doi:10.1073/pnas.0305937101)). We compare our results for these biological networks with the same analysis performed on ensembles of two different types of random networks: Erdös–Rényi and scale-free. We show that both biological networks share features in common that are not shared by either random network ensemble. In particular, the biological networks in our study process more information than the random networks on average. Both biological networks also exhibit a scaling relation in information transferred between nodes that distinguishes them from random, where the biological networks stand out as distinct even when compared with random networks that share important topological properties, such as degree distribution, with the biological network. We show that the most biologically distinct regime of this scaling relation is associated with a subset of control nodes that regulate the dynamics and function of each respective biological network. Information processing in biological networks is therefore interpreted as an emergent property of topology (causal structure) and dynamics (function). Our results demonstrate quantitatively how the informational architecture of biologically evolved networks can distinguish them from other classes of network architecture that do not share the same informational properties. PMID:26701883

  4. Organizational Application of Social Networking Information Technologies

    Science.gov (United States)

    Reppert, Jeffrey R.

    2012-01-01

    The focus of this qualitative research study using the Delphi method is to provide a framework for leaders to develop their own social networks. By exploring concerns in four areas, leaders may be able to better plan, implement, and manage social networking systems in organizations. The areas addressed are: (a) social networking using…

  5. An information spreading model based on online social networks

    Science.gov (United States)

    Wang, Tao; He, Juanjuan; Wang, Xiaoxia

    2018-01-01

    Online social platforms are very popular in recent years. In addition to spreading information, users could review or collect information on online social platforms. According to the information spreading rules of online social network, a new information spreading model, namely IRCSS model, is proposed in this paper. It includes sharing mechanism, reviewing mechanism, collecting mechanism and stifling mechanism. Mean-field equations are derived to describe the dynamics of the IRCSS model. Moreover, the steady states of reviewers, collectors and stiflers and the effects of parameters on the peak values of reviewers, collectors and sharers are analyzed. Finally, numerical simulations are performed on different networks. Results show that collecting mechanism and reviewing mechanism, as well as the connectivity of the network, make information travel wider and faster, and compared to WS network and ER network, the speed of reviewing, sharing and collecting information is fastest on BA network.

  6. Workplace rights and sustainability reporting : Is the workforce a well-informed stakeholder?

    NARCIS (Netherlands)

    Cremers, Jan; Vitols, Sigurt

    2015-01-01

    Jan Cremers (UvT en AIAS) has contributed to a third book in a trilogy of Sustainable Company books dedicated to the current debate on the problem of short-termism and the need for long-term sustainable investment. He comes up with a chapter that summarises the results of a study done by a network

  7. Branding the city of Šibenik as a sustainable tourist destination using social networks

    Directory of Open Access Journals (Sweden)

    Dubravko Blaće

    2015-03-01

    Full Text Available Sustainable tourism, as a fast-growing cultural and economic activity, offers great opportunities for steady development of branded regions and cities. Branding is an integral part of marketing, aimed at raising awareness and creating loyalty among customers. Recent trends show the growing impact of social networks in brand creation. Croatia has one of the shortest tourist seasons in Europe, which affects the sustainability of tourism. Therefore, a pilot study of the Dalmatian town of Šibenik has been made in order to examine whether there is room for development of a sustainable tourism model through strengthening its brand with the help of modern technology, predominantly the social networks. The rich tourism potential of Šibenik has not been sufficiently exploited for sustainable tourism through a recognizable tourism brand, and the official development strategies neglected to examine the use of social networks in achieving both goals. Therefore, an online survey has been conducted in order to determine whether Šibenik is recognized as a tourist destination through social networks. The results should help in developing a systematic approach to the branding of Šibenik. It should simultaneously address the issue of its seasonal attractiveness to tourists, thus contributing to the extension of the season and increasing sustainability of tourism activities. In that way, the branding of the city will not turn into a traditional marketing strategy to promote its market, and may contribute to its sustainable development as well as serve as a model to similar cities.

  8. Integrated Network Architecture for Sustained Human and Robotic Exploration

    Science.gov (United States)

    Noreen, Gary; Cesarone, Robert; Deutsch, Leslie; Edwards, Charles; Soloff, Jason; Ely, Todd; Cook, Brian; Morabito, David; Hemmati, Hamid; Piazolla, Sabino; hide

    2005-01-01

    The National Aeronautics and Space Administration (NASA) Exploration Systems Enterprise is planning a series of human and robotic missions to the Earth's moon and to Mars. These missions will require communication and navigation services. This paper1 sets forth presumed requirements for such services and concepts for lunar and Mars telecommunications network architectures to satisfy the presumed requirements. The paper suggests that an inexpensive ground network would suffice for missions to the near-side of the moon. A constellation of three Lunar Telecommunications Orbiters connected to an inexpensive ground network could provide continuous redundant links to a polar lunar base and its vicinity. For human and robotic missions to Mars, a pair of areostationary satellites could provide continuous redundant links between Earth and a mid-latitude Mars base in conjunction with the Deep Space Network augmented by large arrays of 12-m antennas on Earth.

  9. Maximal information transfer and behavior diversity in Random Threshold Networks.

    Science.gov (United States)

    Andrecut, M; Foster, D; Carteret, H; Kauffman, S A

    2009-07-01

    Random Threshold Networks (RTNs) are an idealized model of diluted, non-symmetric spin glasses, neural networks or gene regulatory networks. RTNs also serve as an interesting general example of any coordinated causal system. Here we study the conditions for maximal information transfer and behavior diversity in RTNs. These conditions are likely to play a major role in physical and biological systems, perhaps serving as important selective traits in biological systems. We show that the pairwise mutual information is maximized in dynamically critical networks. Also, we show that the correlated behavior diversity is maximized for slightly chaotic networks, close to the critical region. Importantly, critical networks maximize coordinated, diverse dynamical behavior across the network and across time: the information transmission between source and receiver nodes and the diversity of dynamical behaviors, when measured with a time delay between the source and receiver, are maximized for critical networks.

  10. Classification Method in Integrated Information Network Using Vector Image Comparison

    Directory of Open Access Journals (Sweden)

    Zhou Yuan

    2014-05-01

    Full Text Available Wireless Integrated Information Network (WMN consists of integrated information that can get data from its surrounding, such as image, voice. To transmit information, large resource is required which decreases the service time of the network. In this paper we present a Classification Approach based on Vector Image Comparison (VIC for WMN that improve the service time of the network. The available methods for sub-region selection and conversion are also proposed.

  11. Sensor Network Information Analytical Methods: Analysis of Similarities and Differences

    Directory of Open Access Journals (Sweden)

    Chen Jian

    2014-04-01

    Full Text Available In the Sensor Network information engineering literature, few references focus on the definition and design of Sensor Network information analytical methods. Among those that do are Munson, et al. and the ISO standards on functional size analysis. To avoid inconsistent vocabulary and potentially incorrect interpretation of data, Sensor Network information analytical methods must be better designed, including definitions, analysis principles, analysis rules, and base units. This paper analyzes the similarities and differences across three different views of analytical methods, and uses a process proposed for the design of Sensor Network information analytical methods to analyze two examples of such methods selected from the literature.

  12. Analysis and improvement of vehicle information sharing networks

    Science.gov (United States)

    Gong, Hang; He, Kun; Qu, Yingchun; Wang, Pu

    2016-06-01

    Based on large-scale mobile phone data, mobility demand was estimated and locations of vehicles were inferred in the Boston area. Using the spatial distribution of vehicles, we analyze the vehicle information sharing network generated by the vehicle-to-vehicle (V2V) communications. Although a giant vehicle cluster is observed, the coverage and the efficiency of the information sharing network remain limited. Consequently, we propose a method to extend the information sharing network's coverage by adding long-range connections between targeted vehicle clusters. Furthermore, we employ the optimal design strategy discovered in square lattice to improve the efficiency of the vehicle information sharing network.

  13. Mediatization, Spatial Coherence and Social Sustainability The Role of Digital Media Networks in a Swedish Countryside Community

    Directory of Open Access Journals (Sweden)

    André Jansson

    2010-06-01

    Full Text Available What does the implementation of new communication networks mean for the spa-tial coherence and social sustainability of rural communities? This paper takes its key from Wittel’s discussion of network sociality, understood as the opposite of Gemeinschaft. Wittel’s argument may inform our understanding of how commu-nicative patterns in rural communities are partly re-embedded through ongoing media transitions. But it must also be problematized. Relating Wittel’s discussion to Halfacree’s model of spatial coherence and Urry’s notion of network capital, as well as to findings from an ethnographic study in a Swedish countryside commu-nity, a more complex view is presented. It is argued that global communication networks under rural conditions contribute to the integration and sustainability of the community, as much as to processes of expansion and differentiation. The results show that network sociality and community constitute interdependent con-cepts. Through their capacity of linking people to external realms of interest, while simultaneously reinforcing their sense of belonging in the local community, online media promote ontological security at the individual level, thus operating as a social stabilizer.

  14. Information diversity in structure and dynamics of simulated neuronal networks.

    Science.gov (United States)

    Mäki-Marttunen, Tuomo; Aćimović, Jugoslava; Nykter, Matti; Kesseli, Juha; Ruohonen, Keijo; Yli-Harja, Olli; Linne, Marja-Leena

    2011-01-01

    Neuronal networks exhibit a wide diversity of structures, which contributes to the diversity of the dynamics therein. The presented work applies an information theoretic framework to simultaneously analyze structure and dynamics in neuronal networks. Information diversity within the structure and dynamics of a neuronal network is studied using the normalized compression distance. To describe the structure, a scheme for generating distance-dependent networks with identical in-degree distribution but variable strength of dependence on distance is presented. The resulting network structure classes possess differing path length and clustering coefficient distributions. In parallel, comparable realistic neuronal networks are generated with NETMORPH simulator and similar analysis is done on them. To describe the dynamics, network spike trains are simulated using different network structures and their bursting behaviors are analyzed. For the simulation of the network activity the Izhikevich model of spiking neurons is used together with the Tsodyks model of dynamical synapses. We show that the structure of the simulated neuronal networks affects the spontaneous bursting activity when measured with bursting frequency and a set of intraburst measures: the more locally connected networks produce more and longer bursts than the more random networks. The information diversity of the structure of a network is greatest in the most locally connected networks, smallest in random networks, and somewhere in between in the networks between order and disorder. As for the dynamics, the most locally connected networks and some of the in-between networks produce the most complex intraburst spike trains. The same result also holds for sparser of the two considered network densities in the case of full spike trains.

  15. Information Diversity in Structure and Dynamics of Simulated Neuronal Networks

    Directory of Open Access Journals (Sweden)

    Tuomo eMäki-Marttunen

    2011-06-01

    Full Text Available Neuronal networks exhibit a wide diversity of structures, which contributes to the diversity of the dynamics therein. The presented work applies an information theoretic framework to simultaneously analyze structure and dynamics in neuronal networks. Information diversity within the structure and dynamics of a neuronal network is studied using the normalized compression distance (NCD. To describe the structure, a scheme for generating distance-dependent networks with identical in-degree distribution but variable strength of dependence on distance is presented. The resulting network structure classes possess differing path length and clustering coefficient distributions. In parallel, comparable realistic neuronal networks are generated with NETMORPH simulator and similar analysis is done on them. To describe the dynamics, network spike trains are simulated using different network structures and their bursting behaviours are analyzed. For the simulation of the network activity the Izhikevich model of spiking neurons is used together with the Tsodyks model of dynamical synapses.We show that the structure of the simulated neuronal networks affects the spontaneous bursting activity when measured with bursting frequency and a set of intraburst measures: the more locally connected networks produce more and longer bursts than the more random networks. The information diversity of the structure of a network is greatest in the most locally connected networks, smallest in random networks, and somewhere in between in the networks between order and disorder. As for the dynamics, the most locally connected networks and some of the in-between networks produce the most complex intraburst spike trains. The same result also holds for sparser of the two considered network densities in the case of full spike trains.

  16. Subsidence monitoring network: an Italian example aimed at a sustainable hydrocarbon E&P activity

    Science.gov (United States)

    Dacome, M. C.; Miandro, R.; Vettorel, M.; Roncari, G.

    2015-11-01

    According to the Italian law in order to start-up any new hydrocarbon exploitation activity, an Environmental Impact Assessment study has to be presented, including a monitoring plan, addressed to foresee, measure and analyze in real time any possible impact of the project on the coastal areas and on those ones in the close inland located. The occurrence of subsidence, that could partly be related to hydrocarbon production, both on-shore and off-shore, can generate great concern in those areas where its occurrence may have impacts on the local environment. ENI, following the international scientific community recommendations on the matter, since the beginning of 90's years, implemented a cutting-edge monitoring network, with the aim to prevent, mitigate and control geodynamics phenomena generated in the activity areas, with a particular attention to conservation and protection of environmental and territorial equilibrium, taking care of what is known as "sustainable development". The current ENI implemented monitoring surveys can be divided as: - Shallow monitoring: spirit levelling surveys, continuous GPS surveys in permanent stations, SAR surveys, assestimeter subsurface compaction monitoring, ground water level monitoring, LiDAR surveys, bathymetrical surveys. - Deep monitoring: reservoir deep compaction trough radioactive markers, reservoir static (bottom hole) pressure monitoring. All the information, gathered through the monitoring network, allow: 1. to verify if the produced subsidence is evolving accordingly with the simulated forecast. 2. to provide data to revise and adjust the prediction compaction models 3. to put in place the remedial actions if the impact exceeds the threshold magnitude originally agreed among the involved parties. ENI monitoring plan to measure and monitor the subsidence process, during field production and also after the field closure, is therefore intended to support a sustainable field development and an acceptable exploitation

  17. INTELLIGENT NETWORKS, SMART GRIDS CONCEPT, CRUCIAL TECHNOLOGIES FOR SUSTAINABLE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Constantin RADU

    2011-05-01

    Full Text Available In this article is presented the concept of smart grids, a very important technology for sustainable development. In the context of globalization of the world lives in an increasingly complex security environment, with rapid changes, some obvious, others less obvious implications in the short, medium or long term, international, national, local and up to every citizen. All countries in the globalized world economy is facing energy problems in terms of climate change have intensified in the twentieth century.

  18. Spatial anomaly detection in sensor networks using neighborhood information

    NARCIS (Netherlands)

    Bosman, H.H.W.J.; Iacca, G.; Tejada, A.; Wörtche, H.J.; Liotta, A.

    2016-01-01

    The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capabil- ity, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remaining challenge now is to extract meaningful information from

  19. Social Networking among Library and Information Science Undergraduate Students

    Science.gov (United States)

    Alakpodia, Onome Norah

    2015-01-01

    The purpose of this study was to examine social networking use among Library and Information Science students of the Delta State University, Abraka. In this study, students completed a questionnaire which assessed their familiarity with social networking sites, the purpose for which they use social networking site and their most preferred sites to…

  20. Quantifying networks complexity from information geometry viewpoint

    Energy Technology Data Exchange (ETDEWEB)

    Felice, Domenico, E-mail: domenico.felice@unicam.it; Mancini, Stefano [School of Science and Technology, University of Camerino, I-62032 Camerino (Italy); INFN-Sezione di Perugia, Via A. Pascoli, I-06123 Perugia (Italy); Pettini, Marco [Centre de Physique Théorique, UMR7332, and Aix-Marseille University, Luminy Case 907, 13288 Marseille (France)

    2014-04-15

    We consider a Gaussian statistical model whose parameter space is given by the variances of random variables. Underlying this model we identify networks by interpreting random variables as sitting on vertices and their correlations as weighted edges among vertices. We then associate to the parameter space a statistical manifold endowed with a Riemannian metric structure (that of Fisher-Rao). Going on, in analogy with the microcanonical definition of entropy in Statistical Mechanics, we introduce an entropic measure of networks complexity. We prove that it is invariant under networks isomorphism. Above all, considering networks as simplicial complexes, we evaluate this entropy on simplexes and find that it monotonically increases with their dimension.

  1. Sustainability Strategies for Regional Health Information Organization Startups

    DEFF Research Database (Denmark)

    Winkler, Till J.; Ozturk, Pinar; Brown, Carol V.

    2016-01-01

    HIOs that became operational during the SHIECAP grant period faced similar startup challenges, the two HIOs that demonstrated sustainability pursued distinct technology and sustainability strategies to develop HIE capabilities to fit their very different regional needs: an HIE capability to improve...... the population health of an underserved urban population, and an HIE capability to enable the transition to a healthcare landscape that rewards care coordination across suburban hospitals and physician practices. Conclusions: We propose two models of technology and sustainability strategies for developing bottom...

  2. Discovery of Information Diffusion Process in Social Networks

    Science.gov (United States)

    Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

    Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

  3. Multiagent Based Information Dissemination in Vehicular Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    S.S. Manvi

    2009-01-01

    Full Text Available Vehicular Ad hoc Networks (VANETs are a compelling application of ad hoc networks, because of the potential to access specific context information (e.g. traffic conditions, service updates, route planning and deliver multimedia services (Voice over IP, in-car entertainment, instant messaging, etc.. This paper proposes an agent based information dissemination model for VANETs. A two-tier agent architecture is employed comprising of the following: 1 'lightweight', network-facing, mobile agents; 2 'heavyweight', application-facing, norm-aware agents. The limitations of VANETs lead us to consider a hybrid wireless network architecture that includes Wireless LAN/Cellular and ad hoc networking for analyzing the proposed model. The proposed model provides flexibility, adaptability and maintainability for traffic information dissemination in VANETs as well as supports robust and agile network management. The proposed model has been simulated in various network scenarios to evaluate the effectiveness of the approach.

  4. A Social-Ecological Framework for Urban Stewardship Network Research to Promote Sustainable and Resilient Cities

    Directory of Open Access Journals (Sweden)

    Michele Romolini

    2016-09-01

    Full Text Available To realize more sustainable and resilient urban social-ecological systems, there is great need for active engagement from diverse public agencies, non-profit organizations, businesses, natural resource managers, scientists, and other actors. Cities present unique challenges and opportunities for sustainability and resilience, as issues and organizations are frequently intertwined in networks of relations. Understanding and leveraging the range of knowledge types, motivations, skills, and goals of diverse participants and their networks is fundamental to sustainable and resilient cities. As efforts to examine and understand urban stewardship networks continue to emerge, it is increasingly clear that there are no structured or systematic frameworks to guide the integration of social and ecological phenomena. Such a framework could facilitate planning new urban stewardship network research, and provide a basis for comparisons among cities and their urban stewardship networks. In this paper, we develop and present a social-ecological framework for examining and understanding urban stewardship networks. To illustrate this framework and provide examples of its prospective and evaluative utility, we use examples from the U.S. Forest Service’s Stewardship Mapping (STEW-MAP network in the United States from Baltimore, MD, USA, New York City, NY, USA, San Juan, Puerto Rico, USA, and Seattle, WA, USA.

  5. Informing Society about Pre-School Education and Educational Support in the Context of Sustainable Development

    Science.gov (United States)

    Kazlauskiene, Ausra; Gaucaite, Ramute; Juodaityte, Audrone

    2011-01-01

    Society qualitatively participates in the implementation of corresponding tasks only when it is informed. An analysis of the National Strategy for Sustainable Development of Lithuania expresses concern regarding shortage of information: information receivers are scantily informed, whilst information providers themselves are scantily informed about…

  6. Sustainable reverse logistics network design for household plastic waste

    NARCIS (Netherlands)

    Bing, X.; Bloemhof, J.M.; Vorst, van der J.G.A.J.

    2014-01-01

    Plastic recycling is a legal requirement and can yield environmental benefits. In the Netherlands, there is a complex network of various collection methods, separation centers, sorting centers and reprocessors. The first step of the recycling system, separating plastics from other waste, can occur

  7. Reconfiguration of sustainable thermoelectric generation using wireless sensor network

    DEFF Research Database (Denmark)

    Chen, Min

    2014-01-01

    wireless sensor networks (WSNs), where remotely deployed temperature and voltage sensors as well as latching relays can be organized as a whole to intelligently identify and execute the optimal interconnection of TEM strings. A reconfigurable TEM array with a WSN controller and a maximum power point...

  8. Active ageing roadmap - a collaborative networks contribution to demographic sustainability

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.

    2010-01-01

    The application of the collaborative networks paradigm, and a new generation of collaboration-support platforms and tools, is a promising approach to supporting active ageing, and facilitating better use of the talents and potential of retired or retiring senior professionals. As such, collaborative

  9. Significance of social networks in sustainable land management in ...

    African Journals Online (AJOL)

    Saharan Africa, who overly rely on informal sources of information. SNs provide opportunities for establishing effective functional multi-stakeholder Innovation Platforms (IPs) necessary for catalysing wide adoption of SLM innovations. This paper ...

  10. Asia Pacific Mangrove Information Network (APMIN): A conceptual model

    Digital Repository Service at National Institute of Oceanography (India)

    Chavan, V.S.; Jagtap, T.G.; Untawale, A.G.

    Asia Pacific Mangrove Information Network (APMIN), its structure and scope, is discussed in this paper. Establishment of National Mangrove Information Centers (NMIC) in 20 Asia-Pacific countries, would contribute towards development of databases...

  11. Reactivity Network: Secondary Sources for Inorganic Reactivity Information.

    Science.gov (United States)

    Mellon, E. K.

    1989-01-01

    Provides an eclectic annotated bibliography of secondary sources for inorganic reactivity information of interest to reactivity network review authors and to anyone seeking information about simple inorganic reactions in order to develop experiments and demonstrations. Gives 119 sources. (MVL)

  12. MYCONET : European network of information sources for an identification system of emerging mycotoxins in wheat based supply chains

    NARCIS (Netherlands)

    Fels-Klerx, van der H.J.; Booij, C.J.H.

    2008-01-01

    This report describes the results of the MYCONET project, an international research project aimed at initiating a sustainable platform (network) of information sources that proactively provides specified information for an emerging risk identification system. As a case study, the project focused on

  13. Complex Networks/Foundations of Information Systems

    Science.gov (United States)

    2013-03-06

    Random Network (ex: Mobile Ad Hoc) Hybrid Network (Mesh) Deterministic Routing (ex: OSPF) Hybrid Routing (ex: OLSR) Random Protocol...10 - 2 10 - 1 100 Transmit power to noise ratio, P/N0, dB B it E rr o r R a te ( B E R ) BPSK signals, CDMA (L = 16), ds, d = 100m, UAV height = 1Km

  14. Obtaining informedness in collaborative networks through automated information provisioning

    DEFF Research Database (Denmark)

    Thimm, Heiko; Rasmussen, Karsten Boye

    2013-01-01

    Successful collaboration in business networks calls for well-informed network participants. Members who know about the many aspects of the network are an effective vehicle to successfully resolve conflicts, build a prospering collaboration climate and promote trust within the network. The importa...... provisioning service. This article presents a corresponding modelling framework and a rule-based approach for the active system capabilities required. Details of a prototype implementation building on concepts of the research area of active databases are also reported....

  15. Optimizing information processing in neuronal networks beyond critical states.

    Science.gov (United States)

    Ferraz, Mariana Sacrini Ayres; Melo-Silva, Hiago Lucas Cardeal; Kihara, Alexandre Hiroaki

    2017-01-01

    Critical dynamics have been postulated as an ideal regime for neuronal networks in the brain, considering optimal dynamic range and information processing. Herein, we focused on how information entropy encoded in spatiotemporal activity patterns may vary in critical networks. We employed branching process based models to investigate how entropy can be embedded in spatiotemporal patterns. We determined that the information capacity of critical networks may vary depending on the manipulation of microscopic parameters. Specifically, the mean number of connections governed the number of spatiotemporal patterns in the networks. These findings are compatible with those of the real neuronal networks observed in specific brain circuitries, where critical behavior is necessary for the optimal dynamic range response but the uncertainty provided by high entropy as coded by spatiotemporal patterns is not required. With this, we were able to reveal that information processing can be optimized in neuronal networks beyond critical states.

  16. Optimizing information processing in neuronal networks beyond critical states.

    Directory of Open Access Journals (Sweden)

    Mariana Sacrini Ayres Ferraz

    Full Text Available Critical dynamics have been postulated as an ideal regime for neuronal networks in the brain, considering optimal dynamic range and information processing. Herein, we focused on how information entropy encoded in spatiotemporal activity patterns may vary in critical networks. We employed branching process based models to investigate how entropy can be embedded in spatiotemporal patterns. We determined that the information capacity of critical networks may vary depending on the manipulation of microscopic parameters. Specifically, the mean number of connections governed the number of spatiotemporal patterns in the networks. These findings are compatible with those of the real neuronal networks observed in specific brain circuitries, where critical behavior is necessary for the optimal dynamic range response but the uncertainty provided by high entropy as coded by spatiotemporal patterns is not required. With this, we were able to reveal that information processing can be optimized in neuronal networks beyond critical states.

  17. What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks

    OpenAIRE

    Rossi, Ryan A.; Gleich, David F.; Gebremedhin, Assefaw H.; Patwary, Md. Mostofa Ali

    2012-01-01

    Exact maximum clique finders have progressed to the point where we can investigate cliques in million-node social and information networks, as well as find strongly connected components in temporal networks. We use one such finder to study a large collection of modern networks emanating from biological, social, and technological domains. We show inter-relationships between maximum cliques and several other common network properties, including network density, maximum core, and number of trian...

  18. Gender Differences and Informal Networks in a Scandinavian Context

    DEFF Research Database (Denmark)

    Waldstrøm, Christian

    2001-01-01

    The informal networks in organizations have been under increasing scrutiny in the past years, and several aspects of those informal structures have been studied, among those the gender differences. In order to go beyond the intuitive and prejudicial characterization, several researchers have...... performed empirical analyses using networks theory. This has resulted in a number of well-founded propositions about how male and female managers develop and use different informal networks. One key finding, among others, is the proposition that female managers seem to develop dual networks (one with other...

  19. ARCOS Network: A Sustainable Mountain Development Hub for Africa

    Directory of Open Access Journals (Sweden)

    Gilbert Muvunankiko

    2017-05-01

    Full Text Available The African continent is endowed with mountains of high productivity, biodiversity, endemism, and cultural diversity. African mountain ecosystems play an important role in economic development, poverty alleviation, and environmental protection. However, climate change and extreme events, as well as human activities, alter the capacity of mountains to provide such services to millions of Africans who depend on them. Since the creation in 1995 of the Albertine Rift Conservation Society (ARCOS, mountains have been at the core of its programs, and collaboration among stakeholders is a key aspect of its search for sustainable solutions to threats affecting African mountains.

  20. Information Flow Between Resting-State Networks.

    Science.gov (United States)

    Diez, Ibai; Erramuzpe, Asier; Escudero, Iñaki; Mateos, Beatriz; Cabrera, Alberto; Marinazzo, Daniele; Sanz-Arigita, Ernesto J; Stramaglia, Sebastiano; Cortes Diaz, Jesus M

    2015-11-01

    The resting brain dynamics self-organize into a finite number of correlated patterns known as resting-state networks (RSNs). It is well known that techniques such as independent component analysis can separate the brain activity at rest to provide such RSNs, but the specific pattern of interaction between RSNs is not yet fully understood. To this aim, we propose here a novel method to compute the information flow (IF) between different RSNs from resting-state magnetic resonance imaging. After hemodynamic response function blind deconvolution of all voxel signals, and under the hypothesis that RSNs define regions of interest, our method first uses principal component analysis to reduce dimensionality in each RSN to next compute IF (estimated here in terms of transfer entropy) between the different RSNs by systematically increasing k (the number of principal components used in the calculation). When k=1, this method is equivalent to computing IF using the average of all voxel activities in each RSN. For k≥1, our method calculates the k multivariate IF between the different RSNs. We find that the average IF among RSNs is dimension dependent, increasing from k=1 (i.e., the average voxel activity) up to a maximum occurring at k=5 and to finally decay to zero for k≥10. This suggests that a small number of components (close to five) is sufficient to describe the IF pattern between RSNs. Our method--addressing differences in IF between RSNs for any generic data--can be used for group comparison in health or disease. To illustrate this, we have calculated the inter-RSN IF in a data set of Alzheimer's disease (AD) to find that the most significant differences between AD and controls occurred for k=2, in addition to AD showing increased IF w.r.t. The spatial localization of the k=2 component, within RSNs, allows the characterization of IF differences between AD and controls.

  1. Network selection, Information filtering and Scalable computation

    Science.gov (United States)

    Ye, Changqing

    This dissertation explores two application scenarios of sparsity pursuit method on large scale data sets. The first scenario is classification and regression in analyzing high dimensional structured data, where predictors corresponds to nodes of a given directed graph. This arises in, for instance, identification of disease genes for the Parkinson's diseases from a network of candidate genes. In such a situation, directed graph describes dependencies among the genes, where direction of edges represent certain causal effects. Key to high-dimensional structured classification and regression is how to utilize dependencies among predictors as specified by directions of the graph. In this dissertation, we develop a novel method that fully takes into account such dependencies formulated through certain nonlinear constraints. We apply the proposed method to two applications, feature selection in large margin binary classification and in linear regression. We implement the proposed method through difference convex programming for the cost function and constraints. Finally, theoretical and numerical analyses suggest that the proposed method achieves the desired objectives. An application to disease gene identification is presented. The second application scenario is personalized information filtering which extracts the information specifically relevant to a user, predicting his/her preference over a large number of items, based on the opinions of users who think alike or its content. This problem is cast into the framework of regression and classification, where we introduce novel partial latent models to integrate additional user-specific and content-specific predictors, for higher predictive accuracy. In particular, we factorize a user-over-item preference matrix into a product of two matrices, each representing a user's preference and an item preference by users. Then we propose a likelihood method to seek a sparsest latent factorization, from a class of over

  2. 78 FR 7797 - Homeland Security Information Network Advisory Committee (HSINAC)

    Science.gov (United States)

    2013-02-04

    ... SECURITY Homeland Security Information Network Advisory Committee (HSINAC) AGENCY: OPS/OCIO, DHS. ACTION: Committee Management; Notice of Federal Advisory Committee Meeting. SUMMARY: The Homeland Security Information Network Advisory Committee (HSIN AC) will meet on February 27th-28th, 2013 in Washington, DC. The...

  3. Applying Information Theory to Neuronal Networks: From Theory to Experiments

    NARCIS (Netherlands)

    Jung, T.I.; Vogiatzian, F.; Har-Shemesh, O.; Fitzsimons, C.P.; Quax, R.

    2014-01-01

    Information-theory is being increasingly used to analyze complex, self-organizing processes on networks, predominantly in analytical and numerical studies. Perhaps one of the most paradigmatic complex systems is a network of neurons, in which cognition arises from the information storage, transfer,

  4. Blending Formal and Informal Learning Networks for Online Learning

    Science.gov (United States)

    Czerkawski, Betül C.

    2016-01-01

    With the emergence of social software and the advance of web-based technologies, online learning networks provide invaluable opportunities for learning, whether formal or informal. Unlike top-down, instructor-centered, and carefully planned formal learning settings, informal learning networks offer more bottom-up, student-centered participatory…

  5. Metro/core routing information exchange in optical networks

    Science.gov (United States)

    Wang, Dongmei; Strand, John; Yates, Jennifer; Kalmanek, Charles; Li, Guangzhi; Greenberg, Albert

    2001-10-01

    Next generation optical network technology has attracted lots of attention from both academia and industry. Large optical networks are typically partitioned into metro and core sub-networks due to the different service and technology requirements. A client optical connection may pass through multiple sub-networks, originating in a metro sub-network, traversing the core network, and accessing the destination on a different metro network. This structure is similar to current ISP networks, which may be divided into multiple routing areas for scalability. However, optical networks are different from IP networks. The difference affects the routing information that needs to be exchanged in metro/core optical networks such that IP routing protocols require significant extensions if they are to be applied in optical networks. In this paper, we focus on Metro/Core routing requirements and present a proposal to extend the current IP multi-area Open Shortest Path First (OSPF) protocol to exchange routing information over metro/core sub-network interfaces. A brief discussion of our prototype implementation is given at the end of this paper.

  6. Pain: A Distributed Brain Information Network?

    Science.gov (United States)

    Mano, Hiroaki; Seymour, Ben

    2015-01-01

    Understanding how pain is processed in the brain has been an enduring puzzle, because there doesn't appear to be a single “pain cortex” that directly codes the subjective perception of pain. An emerging concept is that, instead, pain might emerge from the coordinated activity of an integrated brain network. In support of this view, Woo and colleagues present evidence that distinct brain networks support the subjective changes in pain that result from nociceptive input and self-directed cognitive modulation. This evidence for the sensitivity of distinct neural subsystems to different aspects of pain opens up the way to more formal computational network theories of pain. PMID:25562782

  7. Heterogeneous information network model for equipment-standard system

    Science.gov (United States)

    Yin, Liang; Shi, Li-Chen; Zhao, Jun-Yan; Du, Song-Yang; Xie, Wen-Bo; Yuan, Fei; Chen, Duan-Bing

    2018-01-01

    Entity information network is used to describe structural relationships between entities. Taking advantage of its extension and heterogeneity, entity information network is more and more widely applied to relationship modeling. Recent years, lots of researches about entity information network modeling have been proposed, while seldom of them concentrate on equipment-standard system with properties of multi-layer, multi-dimension and multi-scale. In order to efficiently deal with some complex issues in equipment-standard system such as standard revising, standard controlling, and production designing, a heterogeneous information network model for equipment-standard system is proposed in this paper. Three types of entities and six types of relationships are considered in the proposed model. Correspondingly, several different similarity-measuring methods are used in the modeling process. The experiments show that the heterogeneous information network model established in this paper can reflect relationships between entities accurately. Meanwhile, the modeling process has a good performance on time consumption.

  8. Making Information Useful: Engagement in the Sustained National Climate Assessment Process

    Science.gov (United States)

    Lough, G. C.; Cloyd, E.

    2015-12-01

    Creation of actionable information requires that the producers of that information understand the needs of the intended users and decision makers. To that end, the U.S. Global Change Research Program's sustained National Climate Assessment process includes a focus on engaging users through an inclusive, broad-based, and ongoing process. Such a process provides opportunities for scientific experts and decision makers to share knowledge about the climate-related issues, impacts, and potential response actions that are most important in a particular region or sector. Such a process is also highly transparent in order to produce results that are credible, salient, and legitimate for both scientists and decision makers, ultimately making the results extremely useful. To implement these principles, USGCRP implements a broad-based engagement strategy that invites participation from users and stakeholder communities and considers methods for communicating with potential users at every step. The strategy elicits contributions to help shape the framing of the assessment process and products, improve the transparency of the process, and increase the utility of the final information. Specific user inputs are gathered through workshops, public comment opportunities, town hall meetings, presentations, requests for information, submitted documents, and open meetings. Further, a network of contributors self-organizes around topics of interest to extend assessment activities to a wider range of user groups. Here, we describe the outcomes of these innovations in assessment engagement and identify clear successes, notable surprises, future evaluation needs, and areas for new ideas.

  9. Information Dynamics in Networks: Models and Algorithms

    Science.gov (United States)

    2016-09-13

    ICDCS). 29-JUN-15, Columbus, OH, USA. : , . Value-Based Network Externalities and Optimal Auction Design, Conference on Web and Internet Economics...NAME Total Number: NAME Total Number: PERCENT_SUPPORTEDNAME FTE Equivalent: Total Number: ...... ...... Inventions (DD882) Scientific Progress In...Value-based network externalities and optimal auction design. In Web and Internet Economics - 10th International Conference, WINE 2014, Beijing, China, December 14-17, pages 147–160, 2014. 6

  10. Networked or Un-Networked? A Preliminary Study on KIBS-Based Sustainable Urban Development: The Case of China

    Directory of Open Access Journals (Sweden)

    Kunhui Ye

    2016-05-01

    Full Text Available Increasingly pertinent linkages of cities via knowledge intensive business services (KIBS in the 21st century have opened a new window for academia to reconsider the approach to achieving urban sustainability. In this study, city network was investigated with an aim of identifying its attributes in the framework of sustainable urban development. Data about China’s KIBS, which are compiled in an inter-regional input–output table, were calculated following the procedure of social network analysis. It was found that: (1 the degree of nodes (i.e., out-degree, in-degree and betweenness in China varies distinctively from city to city; (2 the hierarchy of the city network is very tiny; and (3 that the network structure is subject to both “a small world” and core–periphery effects. Furthermore, city nodes in China fall into four categories, namely high centrality and power, high centrality and low power, low centrality and high power, and low centrality and power. The implication is that governmental efforts should be made to secure a reasonable decentralization of key city nodes to ensure that urban sustainability is built on a city-to-city basis.

  11. Information Diffusion in Facebook-Like Social Networks Under Information Overload

    Science.gov (United States)

    Li, Pei; Xing, Kai; Wang, Dapeng; Zhang, Xin; Wang, Hui

    2013-07-01

    Research on social networks has received remarkable attention, since many people use social networks to broadcast information and stay connected with their friends. However, due to the information overload in social networks, it becomes increasingly difficult for users to find useful information. This paper takes Facebook-like social networks into account, and models the process of information diffusion under information overload. The term view scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated is proposed to characterize the information diffusion efficiency. Through theoretical analysis, we find that factors such as network structure and view scope number have no impact on the information diffusion efficiency, which is a surprising result. To verify the results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly.

  12. Sustainable development of production in Russia: an informative aspect

    Directory of Open Access Journals (Sweden)

    Vidyaev Igor G.

    2016-01-01

    Full Text Available This paper is devoted to the study of the problems of introduction of the concept of sustainable development of production at modern enterprises. The paper substantiates the necessity of application of this concept at enterprises, gives reasons hindering this process. In addition, the analysis of the notion of sustainable development of production, wherein this process is represented as development of production by means of rational and economical use of resources oriented to provision of a long-term competitive advantage, was conducted in the paper. Moreover, the paper presents the basic principles of successful introduction of the concept of sustainable development of production. By the example of Toyota Company the benefits, which can be derived by an enterprise from application of this concept, were shown.

  13. A proposed concept for a crustal dynamics information management network

    Science.gov (United States)

    Lohman, G. M.; Renfrow, J. T.

    1980-01-01

    The findings of a requirements and feasibility analysis of the present and potential producers, users, and repositories of space-derived geodetic information are summarized. A proposed concept is presented for a crustal dynamics information management network that would apply state of the art concepts of information management technology to meet the expanding needs of the producers, users, and archivists of this geodetic information.

  14. Social-Driven Information Dissemination for Mobile Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Basim MAHMOOD

    2015-06-01

    Full Text Available As we move into the so-called Internet of Things (IoT, the boundary between sensor networks and social networks is likely to disappear. Moreover, previous works argue that mobility in sensor networks may become a consequence of human movement making the understanding of human mobility crucial to the design of sensor networks. When people carry sensors, they become able to use concepts from social networks in the design of sensor network infrastructures. However, to this date, the utilization of social networks in designing protocols for wireless sensor networks has not received much attention. In this paper, we focus on the concept of information dissemination in a framework where sensors are carried by people who, like most of us, are part of a social network. We propose two social-based forwarding approaches for what has been called Social Network of Sensors (SNoS. To this end, we exploit two important characteristics of ties in social networks, namely strong ties and weak ties. The former is used to achieve rapid dissemination to nearby sensors while the latter aims at dissemination to faraway sensors. We compared our results against two well-known approaches in the literature: Epidemic and PRoPHET protocols. We evaluate our approaches according to four criteria: information-dissemination distance, information-dissemination coverage area, the number of messages exchanged, and information delivery time. We believe this is the first work that investigates the issues of information-dissemination distance and information-dissemination coverage area using an approach inspired on social network concepts.

  15. Memory-induced mechanism for self-sustaining activity in networks

    Science.gov (United States)

    Allahverdyan, A. E.; Steeg, G. Ver; Galstyan, A.

    2015-12-01

    We study a mechanism of activity sustaining on networks inspired by a well-known model of neuronal dynamics. Our primary focus is the emergence of self-sustaining collective activity patterns, where no single node can stay active by itself, but the activity provided initially is sustained within the collective of interacting agents. In contrast to existing models of self-sustaining activity that are caused by (long) loops present in the network, here we focus on treelike structures and examine activation mechanisms that are due to temporal memory of the nodes. This approach is motivated by applications in social media, where long network loops are rare or absent. Our results suggest that under a weak behavioral noise, the nodes robustly split into several clusters, with partial synchronization of nodes within each cluster. We also study the randomly weighted version of the models where the nodes are allowed to change their connection strength (this can model attention redistribution) and show that it does facilitate the self-sustained activity.

  16. Building and Sustaining Citywide Afterschool Initiatives: Experiences of the Cross-Cities Network Citywide Afterschool Initiatives.

    Science.gov (United States)

    Hall, Georgia; Harvey, Brooke

    This paper highlights the experiences of several citywide after school initiatives from the Cross-Cities Network, describing activities and strategies that contributed to building operational and sustainable citywide delivery of out-of-school time programs. The paper presents evidence of success and notes lessons learned, identifying key elements…

  17. Evolution of a Campus Sustainability Network: A Case Study in Organizational Change

    Science.gov (United States)

    Kurland, Nancy B.

    2011-01-01

    Purpose: The purpose of this paper is to examine the evolution of a sustainability network at a large California public university, as an example of organizational change. Design/methodology/approach: The paper combines participant observation and case study techniques over a three-year period. From 2007 to 2010, the author helped found the…

  18. Sustainable fuels for the transport and maritime sector : A blueprint of the LNG distribution network

    NARCIS (Netherlands)

    Thunnissen, Simon K.; Van De Bunt, Luke G.; Vis, Iris F A; Zijm, Henk; Klump, Matthias; Clausen, Uwe; ten Hompel, Michael

    2015-01-01

    Liquefied Natural Gas (LNG) is one of the alternative sustainable fuels available to the transportation sector. A new distribution network needs to be in place to enable better accessibility and more efficient usage of this fuel type for all modes of transport. Currently, a chicken-and-egg problem

  19. Inferring influenza global transmission networks without complete phylogenetic information.

    Science.gov (United States)

    Aris-Brosou, Stéphane

    2014-03-01

    Influenza is one of the most severe respiratory infections affecting humans throughout the world, yet the dynamics of its global transmission network are still contentious. Here, I describe a novel combination of phylogenetics, time series, and graph theory to analyze 14.25 years of data stratified in space and in time, focusing on the main target of the human immune response, the hemagglutinin gene. While bypassing the complete phylogenetic inference of huge data sets, the method still extracts information suggesting that waves of genetic or of nucleotide diversity circulate continuously around the globe for subtypes that undergo sustained transmission over several seasons, such as H3N2 and pandemic H1N1/09, while diversity of prepandemic H1N1 viruses had until 2009 a noncontinuous transmission pattern consistent with a source/sink model. Irrespective of the shift in the structure of H1N1 diversity circulation with the emergence of the pandemic H1N1/09 strain, US prevalence peaks during the winter months when genetic diversity is at its lowest. This suggests that a dominant strain is generally responsible for epidemics and that monitoring genetic and/or nucleotide diversity in real time could provide public health agencies with an indirect estimate of prevalence.

  20. Smooth information flow in temperature climate network reflects mass transport

    Czech Academy of Sciences Publication Activity Database

    Hlinka, Jaroslav; Jajcay, Nikola; Hartman, David; Paluš, Milan

    2017-01-01

    Roč. 27, č. 3 (2017), č. článku 035811. ISSN 1054-1500 R&D Projects: GA ČR GCP103/11/J068; GA MŠk LH14001 Institutional support: RVO:67985807 Keywords : directed network * causal network * Granger causality * climate network * information flow * temperature network Subject RIV: IN - Informatics, Computer Science OBOR OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Impact factor: 2.283, year: 2016

  1. Sustainable and equitable sanitation in informal settlements of Cape ...

    African Journals Online (AJOL)

    Sustainability and equity are two desirable but ambiguous concepts often used to describe goals for sanitation services internationally and in South Africa. Both concepts are mentioned repeatedly in policy documents and government reports. There is, however, a gap between policy and implementation, and part of the ...

  2. Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

    DEFF Research Database (Denmark)

    Govindan, Kannan; Jafarian, Ahmad; Nourbakhsh, Vahid

    2015-01-01

    Sustainability has been considered as a growing concern in supply chain network design (SCND) and in the order allocation problem (OAP). Accordingly, there still exists a gap in the quantitative modeling of sustainable SCND that consists of OAP. In this article, we cover this gap through simultan...

  3. Tensegrity II. How structural networks influence cellular information processing networks

    Science.gov (United States)

    Ingber, Donald E.

    2003-01-01

    The major challenge in biology today is biocomplexity: the need to explain how cell and tissue behaviors emerge from collective interactions within complex molecular networks. Part I of this two-part article, described a mechanical model of cell structure based on tensegrity architecture that explains how the mechanical behavior of the cell emerges from physical interactions among the different molecular filament systems that form the cytoskeleton. Recent work shows that the cytoskeleton also orients much of the cell's metabolic and signal transduction machinery and that mechanical distortion of cells and the cytoskeleton through cell surface integrin receptors can profoundly affect cell behavior. In particular, gradual variations in this single physical control parameter (cell shape distortion) can switch cells between distinct gene programs (e.g. growth, differentiation and apoptosis), and this process can be viewed as a biological phase transition. Part II of this article covers how combined use of tensegrity and solid-state mechanochemistry by cells may mediate mechanotransduction and facilitate integration of chemical and physical signals that are responsible for control of cell behavior. In addition, it examines how cell structural networks affect gene and protein signaling networks to produce characteristic phenotypes and cell fate transitions during tissue development.

  4. A Community-based Partnership for a Sustainable GNSS Geodetic Network

    Science.gov (United States)

    Dokka, R. K.

    2009-12-01

    Geodetic networks offer unparalleled opportunities to monitor and understand many of the rhythms of the Earth most vital to the sustainability of modern and future societies, i.e., crustal motions, sea-level, and the weather. For crustal deformation studies, the advantage is clear. Modern measurements allow us to document not only the permanent strains incurred over a seismic cycle, for example, but also the ephemeral strains that are critical for understanding the underlying physical mechanism. To be effective for science, however, geodetic networks must be properly designed, capitalized, and maintained over sufficient time intervals to fully capture the processes in action. Unfortunately, most networks lack interoperability and lack a business plan to ensure long term sustainability. The USA, for example, lacks a unified nation-wide GNSS network that can sustain its self over the coming years, decades, and century. Current federal priorities do not yet envision such a singular network. Publicly and privately funded regional networks exist, but tend to be parochial in scope, and optimized for a special user community, e.g., surveying, crustal motions, etc. Data sharing is common, but the lack of input at the beginning limits the functionality of the system for non-primary users. Funding for private networks depend heavily on the user demand, business cycle, and regulatory requirements. Agencies funding science networks offer no guarantee of sustained support. An alternative model (GULFNet) developed in Louisiana is meeting user needs, is sustainable, and is helping engineers, surveyors, and geologists become more spatially enabled. The common denominator among all participants is the view that accurate, precise, and timely geodetic data have tangible value for all segments of society. Although operated by a university (LSU), GULFNet is a community-based partnership between public and private sectors. GULFNet simultaneously achieves scientific goals by providing

  5. Affinity based information diffusion model in social networks

    Science.gov (United States)

    Liu, Hongli; Xie, Yun; Hu, Haibo; Chen, Zhigao

    2014-12-01

    There is a widespread intuitive sense that people prefer participating in spreading the information in which they are interested. The affinity of people with information disseminated can affect the information propagation in social networks. In this paper, we propose an information diffusion model incorporating the mechanism of affinity of people with information which considers the fitness of affinity values of people with affinity threshold of the information. We find that the final size of information diffusion is affected by affinity threshold of the information, average degree of the network and the probability of people's losing their interest in the information. We also explore the effects of other factors on information spreading by numerical simulations and find that the probabilities of people's questioning and confirming the information can affect the propagation speed, but not the final scope.

  6. The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.

    Science.gov (United States)

    Huang, Li; Huang, Jian; Wang, Wei

    2018-01-18

    Resettlement affects not only the resettlers' production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientific evaluation index system for the sustainable development of reservoir resettlement must be established that fits Chinese national conditions and not only promotes reservoir resettlement research but also improves resettlement practice. This essay builds an evaluation index system for resettlers' sustainable development based on a back-propagation (BP) neural network, which can be adopted in China, taking the resettlement necessitated by step hydropower stations along the Wujiang River cascade as an example. The assessment results show that the resettlement caused by step power stations along the Wujiang River is sustainable, and this evaluation supports the conclusion that national policies and regulations, which are undergoing constant improvement, and resettlement has increasingly improved. The results provide a reference for hydropower reservoir resettlement in developing countries.

  7. The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network

    Directory of Open Access Journals (Sweden)

    Li Huang

    2018-01-01

    Full Text Available Resettlement affects not only the resettlers’ production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientific evaluation index system for the sustainable development of reservoir resettlement must be established that fits Chinese national conditions and not only promotes reservoir resettlement research but also improves resettlement practice. This essay builds an evaluation index system for resettlers’ sustainable development based on a back-propagation (BP neural network, which can be adopted in China, taking the resettlement necessitated by step hydropower stations along the Wujiang River cascade as an example. The assessment results show that the resettlement caused by step power stations along the Wujiang River is sustainable, and this evaluation supports the conclusion that national policies and regulations, which are undergoing constant improvement, and resettlement has increasingly improved. The results provide a reference for hydropower reservoir resettlement in developing countries.

  8. [Research Networks in Public Health: Requirements for Sustainability and Effectiveness - a Sociological Perspective].

    Science.gov (United States)

    Pfaff, Holger; Ohlmeier, Silke

    2017-11-01

    The Public Health White Paper draws up a vision of public health as a living, decentralized network that can help improve the health of the population in a sustained fashion. However, the central question remains open as to which prerequisites public health networks should fulfill in order to be effective in the long term. The aim of this paper is to provide a sociological view of the issue and offer some discussion ideas. Parsons' structural functionalism leads to the thesis that science networks in public health require structures that ensure that the 4 basic functions of viable social networks - (1) adaptation, (2) goal attainment, (3) integration and (4) latent pattern maintenance - are fulfilled. On this theoretical basis, suggestions are made to establish functional formal structures in public health networks. © Georg Thieme Verlag KG Stuttgart · New York.

  9. Communications and Information: Network Management. Volume 1

    Science.gov (United States)

    1999-07-02

    local units to reduce the risks of remote management . When approved, the global or regional NM element provides guidance on accommodating this...Management X Setting parameters X X Changing network configuration X X Moves, adds, changes X X X Remote management X X Router management X Load

  10. Information hiding in communication networks fundamentals, mechanisms, applications, and countermeasures

    CERN Document Server

    Mazurczyk, Wojciech; Zander, Sebastian; Houmansadr, Amir; Szczypiorski, Krzysztof

    2016-01-01

    Describes Information Hiding in communication networks, and highlights their important issues, challenges, trends, and applications. This book provides the fundamental concepts, terminology, and classifications of information hiding in communication networks along with its historical background. Information Hiding In Communication Networks: Fundamentals, Mechanisms, Applications, and Countermeasures begins with introducing data concealment methods and their evolution. Chapter two discusses the existing terminology and describes the model for hidden communication and related communication scenarios. Chapters three to five present the main classes of information hiding in communication networks accompanied by a discussion of their robustness and undetectability. The book concludes with a discussion of potential countermeasures against information hiding techniques, which includes different types of mechanisms for the detection, limitation and prevention of covert co munication channels.

  11. Information and Networks Working Paper: Aiding surveillance ...

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

    2014-12-01

    Dec 1, 2014 ... Information technology transfer is increasingly a key component of development and humanitarian aid initiatives. With social protection programs now incorporating digitized management information systems and electronic transfers, registration and electoral systems deploying biometric technologies, and ...

  12. The Feasibility of "oscar" as AN Information System for Sustainable Rehabilitation of Built Heritage

    Science.gov (United States)

    Farmer, C.; Rouillard, C.

    2017-08-01

    This paper aims to examine the feasibility of the Online Sustainable Conservation Assistance Resource (OSCAR) as an information system and framework to help find appropriate ways to improve the sustainable performance of heritage buildings in North America. The paper reviews the need for holistic comprehensive authoritative information in the field of sustainable conservation, how OSCAR addresses this gap, the OSCAR workflow, and how it was used in two case studies. It was found that OSCAR has potential to become a practical educational tool and design aide to address the sustainable performance of heritage buildings. The paper contributes to the discourse on sustainable conservation by examining resources and tools which address the need for holistic retrofit approaches. The findings will be useful to educators and professionals in the fields of sustainable design and heritage conservation.

  13. THE FEASIBILITY OF “OSCAR” AS AN INFORMATION SYSTEM FOR SUSTAINABLE REHABILITATION OF BUILT HERITAGE

    Directory of Open Access Journals (Sweden)

    C. Farmer

    2017-08-01

    Full Text Available This paper aims to examine the feasibility of the Online Sustainable Conservation Assistance Resource (OSCAR as an information system and framework to help find appropriate ways to improve the sustainable performance of heritage buildings in North America. The paper reviews the need for holistic comprehensive authoritative information in the field of sustainable conservation, how OSCAR addresses this gap, the OSCAR workflow, and how it was used in two case studies. It was found that OSCAR has potential to become a practical educational tool and design aide to address the sustainable performance of heritage buildings. The paper contributes to the discourse on sustainable conservation by examining resources and tools which address the need for holistic retrofit approaches. The findings will be useful to educators and professionals in the fields of sustainable design and heritage conservation.

  14. Social Circles Detection from Ego Network and Profile Information

    Science.gov (United States)

    2014-12-19

    0704-0188 3. DATES COVERED (From - To) - UU UU UU UU Approved for public release; distribution is unlimited. Social Circles Detection from Ego Network...Research Triangle Park, NC 27709-2211 ego network, social copying community REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10. SPONSOR...ABSTRACT Social Circles Detection from Ego Network and Profile Information Report Title This report presents a study making our first approach to the

  15. Advanced information processing system: Input/output network management software

    Science.gov (United States)

    Nagle, Gail; Alger, Linda; Kemp, Alexander

    1988-01-01

    The purpose of this document is to provide the software requirements and specifications for the Input/Output Network Management Services for the Advanced Information Processing System. This introduction and overview section is provided to briefly outline the overall architecture and software requirements of the AIPS system before discussing the details of the design requirements and specifications of the AIPS I/O Network Management software. A brief overview of the AIPS architecture followed by a more detailed description of the network architecture.

  16. Information transmission in genetic regulatory networks: a review

    CERN Document Server

    Walczak, Aleksandra M

    2011-01-01

    Genetic regulatory networks enable cells to respond to the changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between network's inputs and its outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary to understand recent work. We then discuss the functional complexity of gene regulation which arrises from the molecular nature of the regulatory interactions. We end by reviewing som...

  17. The Network Information Management System (NIMS) in the Deep Space Network

    Science.gov (United States)

    Wales, K. J.

    1983-01-01

    In an effort to better manage enormous amounts of administrative, engineering, and management data that is distributed worldwide, a study was conducted which identified the need for a network support system. The Network Information Management System (NIMS) will provide the Deep Space Network with the tools to provide an easily accessible source of valid information to support management activities and provide a more cost-effective method of acquiring, maintaining, and retrieval data.

  18. Uganda Health Information Network (UHIN) - Phase IV | IDRC ...

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

    Health services in five participating districts are using the Uganda Health Information Network (UHIN) to send and receive disease surveillance data, health management reports, reports on drug supplies and use, and continuing education materials. This phase aims to fully integrate the Network into the Ministry of Health ...

  19. Green Networking for Major Components of Information Communication Technology Systems

    Directory of Open Access Journals (Sweden)

    Zeadally Sherali

    2009-01-01

    Full Text Available Abstract Green Networking can be the way to help reduce carbon emissions by the Information and Communications Technology (ICT Industry. This paper presents some of the major components of Green Networking and discusses how the carbon footprint of these components can be reduced.

  20. Information Propagation in Complex Networks : Structures and Dynamics

    NARCIS (Netherlands)

    Märtens, M.

    2018-01-01

    This thesis is a contribution to a deeper understanding of how information propagates and what this process entails. At its very core is the concept of the network: a collection of nodes and links, which describes the structure of the systems under investigation. The network is a mathematical model

  1. Are Social Networking Websites Educational? Information Capsule. Volume 0909

    Science.gov (United States)

    Blazer, Christie

    2009-01-01

    More and more school districts across the country are joining social networking sites, such as Facebook and MySpace. This Information Capsule discusses the frequency with which school districts are using social networking sites, how districts are using the sites, and potential drawbacks associated with their use. Issues for districts to consider…

  2. Predicting network structure using unlabeled interaction information

    OpenAIRE

    Nasim, Mehwish; Brandes, Ulrik

    2014-01-01

    We are interested in the question whether interactions in online social networks (OSNs) can serve as a proxy for more persistent social relation. With Facebook as the context of our analysis, we look at commenting on wall posts as a form of interaction, and friendship ties as social relations. Findings from a pretest suggest that others’ joint commenting patterns on someone’s status posts are indeed indicative of friendship ties between them, independent of the contents. This would have impli...

  3. USING INFORMATION THEORY TO DEFINE A SUSTAINABILITY INDEX

    Science.gov (United States)

    Information theory has many applications in Ecology and Environmental science, such as a biodiversity indicator, as a measure of evolution, a measure of distance from thermodynamic equilibrium, and as a measure of system organization. Fisher Information, in particular, provides a...

  4. Preference Construction Processes for Renewable Energies: Assessing the Influence of Sustainability Information and Decision Support Methods

    Directory of Open Access Journals (Sweden)

    Kiyotada Hayashi

    2016-11-01

    Full Text Available Sustainability information and decision support can be two important driving forces for making sustainable transitions in society. However, not enough knowledge is available on the effectiveness of these two factors. Here, we conducted an experimental study to support the hypotheses that acquisition of sustainability information and use of decision support methods consistently construct preferences for renewable power generation technologies that use solar power, wind power, small-scale hydroelectric power, geothermal power, wood biomass, or biogas as energy sources. The sustainability information was prepared using a renewable energy-focused input-output model of Japan and contained life cycle greenhouse gas emissions, electricity generation costs, and job creation. We measured rank-ordered preferences in the following four steps in experimental workshops conducted for municipal officials: provision of (1 energy-source names; (2 sustainability information; (3 additional explanation of public value; and (4 knowledge and techniques about multi-attribute value functions. The degree of changes in preference orders was evaluated using Spearman’s rank correlation coefficient. The consistency of rank-ordered preferences among participants was determined by using the maximum eigenvalue for the coefficient matrix. The results show: (1 the individual preferences evolved drastically in response to the sustainability information and the decision support method; and (2 the rank-ordered preferences were more consistent during the preference construction processes. These results indicate that provision of sustainability information, coupled with decision support methods, is effective for decision making regarding renewable energies.

  5. Information and entropy theory for the sustainability of coupled human and natural systems

    Directory of Open Access Journals (Sweden)

    Audrey L. Mayer

    2014-09-01

    Full Text Available For coupled human and natural systems (CHANS, sustainability can be defined operationally as a feasible, desirable set of flows (material, currency, information, energy, individuals, etc. that can be maintained despite internal changes and changes in the environment. Sustainable development can be defined as the process by which CHANS can be moved toward sustainability. Specific indicators that give insight into the structure and behavior of feedbacks in CHANS are of particular interest because they would aid in the sustainable management of these systems through an understanding of the structures that govern system behavior. However, the use of specific feedbacks as monitoring tools is rare, possibly because of uncertainties regarding the nature of their dynamics and the diversity of types of feedbacks encountered in these systems. An information theory perspective may help to rectify this situation, as evidenced by recent research in sustainability science that supports the use of unit-free measures such as Shannon entropy and Fisher information to aggregate disparate indicators. These measures have been used for spatial and temporal datasets to monitor progress toward sustainability targets. Here, we provide a review of information theory and a theoretical framework for studying the dynamics of feedbacks in CHANS. We propose a combination of information-based indices that might productively inform our sustainability goals, particularly when related to key feedbacks in CHANS.

  6. 78 FR 22277 - Notice of Proposed Information Collection: Comment Request Office of Sustainable Housing...

    Science.gov (United States)

    2013-04-15

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT Notice of Proposed Information Collection: Comment Request Office of Sustainable..., Office of Sustainable Housing and Communities, Department of Housing and Urban Development, 451 7th...

  7. Interconnected place-based social-ecological research can inform global sustainability

    NARCIS (Netherlands)

    Balvanera, P.; Calderó n-Contreras, R.; Castro, A.J.; Felipe-Lucia, M.R.; Geijzendorffer, I.R.; Jacobs, S.; Martí n-Ló pez, B.; Arbieu, U.; Ifejika Speranza, C.; Locatelli, B.; Pé rez-Harguindeguy, N.; Ruiz-Mercado, I.; Spierenburg, M.J.; Vallet, A.; Lynes, L.; Gillson, L.

    2017-01-01

    Global sustainability initiatives are gaining momentum and impact, and place-based research can provide complementary insights to strengthen them. Here, we explore the current and potential role of place-based research into informing global sustainability initiatives by assessing the strengths,

  8. A Reference Architecture for Network-Centric Information Systems

    National Research Council Canada - National Science Library

    Renner, Scott; Schaefer, Ronald

    2003-01-01

    This paper presents the "C2 Enterprise Reference Architecture" (C2ERA), which is a new technical concept of operations for building information systems better suited to the Network-Centric Warfare (NCW) environment...

  9. Correlation Analysis of Fleet Information Warfare Center Network Incidents

    National Research Council Canada - National Science Library

    Ginn, Patrick

    2001-01-01

    .... To allow for efficient access and utilization of the information systems sharing the network the Intrusion Detection Systems must be set at a level that filters out activity deemed as normal or non...

  10. Information jet: Handling noisy big data from weakly disconnected network

    Science.gov (United States)

    Aurongzeb, Deeder

    Sudden aggregation (information jet) of large amount of data is ubiquitous around connected social networks, driven by sudden interacting and non-interacting events, network security threat attacks, online sales channel etc. Clustering of information jet based on time series analysis and graph theory is not new but little work is done to connect them with particle jet statistics. We show pre-clustering based on context can element soft network or network of information which is critical to minimize time to calculate results from noisy big data. We show difference between, stochastic gradient boosting and time series-graph clustering. For disconnected higher dimensional information jet, we use Kallenberg representation theorem (Kallenberg, 2005, arXiv:1401.1137) to identify and eliminate jet similarities from dense or sparse graph.

  11. Information Spread of Emergency Events: Path Searching on Social Networks

    National Research Council Canada - National Science Library

    Dai, Weihui; Hu, Hongzhi; Wu, Tunan; Dai, Yonghui

    2014-01-01

    .... In the Internet world, people communicate with each other and form various virtual communities based on social networks, which lead to a complex and fast information spread pattern of emergency events...

  12. The commercial vehicle information systems and networks program, 2013.

    Science.gov (United States)

    2015-04-01

    The Commercial Vehicle Information Systems and Networks (CVISN) grant program supports the Federal Motor Carrier Safety Administrations (FMCSAs) safety mission by providing grant funds to States to: : Improve safety and productivity of moto...

  13. The Commercial Vehicle Information Systems and Network program, 2012.

    Science.gov (United States)

    2014-03-01

    The Commercial Vehicle Information Systems and : Networks (CVISN) program supports that safety : mission by providing grant funds to States for: : Improving safety and productivity of motor : carriers, commercial motor vehicles : (CMVs), and thei...

  14. Tufts academic health information network: concept and scenario.

    Science.gov (United States)

    Stearns, N S

    1986-04-01

    Tufts University School of Medicine's new health sciences education building, the Arthur M. Sackler Center for Health Communications, will house a modern medical library and computer center, classrooms, auditoria, and media facilities. The building will also serve as the center for an information and communication network linking the medical school and adjacent New England Medical Center, Tufts' primary teaching hospital, with Tufts Associated Teaching Hospitals throughout New England. Ultimately, the Tufts network will join other gateway networks, information resource facilities, health care institutions, and medical schools throughout the world. The center and the network are intended to facilitate and improve the education of health professionals, the delivery of health care to patients, the conduct of research, and the implementation of administrative management approaches that should provide more efficient utilization of resources and save dollars. A model and scenario show how health care delivery and health care education are integrated through better use of information transfer technologies by health information specialists, practitioners, and educators.

  15. Developing Visualization Techniques for Semantics-based Information Networks

    Science.gov (United States)

    Keller, Richard M.; Hall, David R.

    2003-01-01

    Information systems incorporating complex network structured information spaces with a semantic underpinning - such as hypermedia networks, semantic networks, topic maps, and concept maps - are being deployed to solve some of NASA s critical information management problems. This paper describes some of the human interaction and navigation problems associated with complex semantic information spaces and describes a set of new visual interface approaches to address these problems. A key strategy is to leverage semantic knowledge represented within these information spaces to construct abstractions and views that will be meaningful to the human user. Human-computer interaction methodologies will guide the development and evaluation of these approaches, which will benefit deployed NASA systems and also apply to information systems based on the emerging Semantic Web.

  16. Suppressing disease spreading by using information diffusion on multiplex networks

    CERN Document Server

    Wang, Wei; Cai, Shi-Min; Tang, Ming; Braunstein, Lidia A; Stanley, H Eugene

    2016-01-01

    Although there is always an interplay between the dynamics of information diffusion and disease spreading, the empirical research on the systemic coevolution mechanisms connecting these two spreading dynamics is still lacking. Here we investigate the coevolution mechanisms and dynamics between information and disease spreading by utilizing real data and a proposed model on multiplex network. Our empirical analysis finds asymmetrical interactions between the information and disease spreading dynamics. Our results obtained from both the theoretical framework and intensive stochastic numerical simulations suggest that an information outbreak can be triggered on a communication network by its own spreading dynamics or the disease outbreak on a contact network, but that the disease threshold is not affected by information spreading. Our key finding is that there is an optimal information transmission rate that markedly suppresses the disease speading. We find that the time evolution of the dynamics in the proposed...

  17. Adaptive Information Access on Multiple Applications Support Wireless Sensor Networks

    DEFF Research Database (Denmark)

    Tobgay, Sonam; Olsen, Rasmus Løvenstein; Prasad, Ramjee

    2014-01-01

    is used for safety and security monitoring purposes. In this paper, we evaluate different access strategies to remote dynamic information and compare between achieving information reliability (mismatch probability) and the associated power consumption. Lastly, based on the models, we propose an adaptive......Accessing information remotely to dynamically changing information elements cannot be avoided and has become a required functionality for various network services. Most applications require up-to-date information which is reliable and accurate. The information reliability in terms of using correct...... information is challenged by dynamic nature of information elements. These challenges are more prominent in case of wireless sensor network (WSN) applications, as the information that the sensor node collects are mostly dynamic in nature (say, temperature). Therefore, it is likely that there can be a mismatch...

  18. Ecological network analysis for economic systems: growth and development and implications for sustainable development.

    Science.gov (United States)

    Huang, Jiali; Ulanowicz, Robert E

    2014-01-01

    The quantification of growth and development is an important issue in economics, because these phenomena are closely related to sustainability. We address growth and development from a network perspective in which economic systems are represented as flow networks and analyzed using ecological network analysis (ENA). The Beijing economic system is used as a case study and 11 input-output (I-O) tables for 1985-2010 are converted into currency networks. ENA is used to calculate system-level indices to quantify the growth and development of Beijing. The contributions of each direct flow toward growth and development in 2010 are calculated and their implications for sustainable development are discussed. The results show that during 1985-2010, growth was the main attribute of the Beijing economic system. Although the system grew exponentially, its development fluctuated within only a small range. The results suggest that system ascendency should be increased in order to favor more sustainable development. Ascendency can be augmented in two ways: (1) strengthen those pathways with positive contributions to increasing ascendency and (2) weaken those with negative effects.

  19. Rainwater Harvesting and Social Networks: Visualising Interactions for Niche Governance, Resilience and Sustainability

    Directory of Open Access Journals (Sweden)

    Sarah Ward

    2016-11-01

    Full Text Available Visualising interactions across urban water systems to explore transition and change processes requires the development of methods and models at different scales. This paper contributes a model representing the network interactions of rainwater harvesting (RWH infrastructure innovators and other organisations in the UK RWH niche to identify how resilience and sustainability feature within niche governance in practice. The RWH network interaction model was constructed using a modified participatory social network analysis (SNA. The SNA was further analysed through the application of a two-part analytical framework based on niche management and the safe, resilient and sustainable (‘Safe and SuRe’ framework. Weak interactions between some RWH infrastructure innovators and other organisations highlighted reliance on a limited number of persuaders to influence the regime and landscape, which were underrepresented. Features from niche creation and management were exhibited by the RWH network interaction model, though some observed characteristics were not represented. Additional Safe and SuRe features were identified covering diverse innovation, responsivity, no protection, unconverged expectations, primary influencers, polycentric or adaptive governance and multiple learning-types. These features enable RWH infrastructure innovators and other organisations to reflect on improving resilience and sustainability, though further research in other sectors would be useful to verify and validate observation of the seven features.

  20. Effects of individual popularity on information spreading in complex networks

    Science.gov (United States)

    Gao, Lei; Li, Ruiqi; Shu, Panpan; Wang, Wei; Gao, Hui; Cai, Shimin

    2018-01-01

    In real world, human activities often exhibit preferential selection mechanism based on the popularity of individuals. However, this mechanism is seldom taken into account by previous studies about spreading dynamics on networks. Thus in this work, an information spreading model is proposed by considering the preferential selection based on individuals' current popularity, which is defined as the number of individuals' cumulative contacts with informed neighbors. A mean-field theory is developed to analyze the spreading model. Through systematically studying the information spreading dynamics on uncorrelated configuration networks as well as real-world networks, we find that the popularity preference has great impacts on the information spreading. On the one hand, the information spreading is facilitated, i.e., a larger final prevalence of information and a smaller outbreak threshold, if nodes with low popularity are preferentially selected. In this situation, the effective contacts between informed nodes and susceptible nodes are increased, and nodes almost have uniform probabilities of obtaining the information. On the other hand, if nodes with high popularity are preferentially selected, the final prevalence of information is reduced, the outbreak threshold is increased, and even the information cannot outbreak. In addition, the heterogeneity of the degree distribution and the structure of real-world networks do not qualitatively affect the results. Our research can provide some theoretical supports for the promotion of spreading such as information, health related behaviors, and new products, etc.

  1. Graphs for information security control in software defined networks

    Science.gov (United States)

    Grusho, Alexander A.; Abaev, Pavel O.; Shorgin, Sergey Ya.; Timonina, Elena E.

    2017-07-01

    Information security control in software defined networks (SDN) is connected with execution of the security policy rules regulating information accesses and protection against distribution of the malicious code and harmful influences. The paper offers a representation of a security policy in the form of hierarchical structure which in case of distribution of resources for the solution of tasks defines graphs of admissible interactions in a networks. These graphs define commutation tables of switches via the SDN controller.

  2. Turisbook: Social Network of Tourism with Geographical Information

    Science.gov (United States)

    García, Eva; García, Antonio; de-Marcos, Luis; Hilera, José-Ramón

    This article presents the social network of tourism Turisbook. This social network allows sharing information and opinions about worldwide travel destinations. It incorporates a geo-location system of points on a map, so that user can search quickly and easily tourist points in a given area. The system allows users to upload their own tourist points with associated information and photos. In this manner, the system feeds with user contributions, allowing discovering places that usually do not appear in traditional guidebooks.

  3. Towards Device-Independent Information Processing on General Quantum Networks

    Science.gov (United States)

    Lee, Ciarán M.; Hoban, Matty J.

    2018-01-01

    The violation of certain Bell inequalities allows for device-independent information processing secure against nonsignaling eavesdroppers. However, this only holds for the Bell network, in which two or more agents perform local measurements on a single shared source of entanglement. To overcome the practical constraints that entangled systems can only be transmitted over relatively short distances, large-scale multisource networks have been employed. Do there exist analogs of Bell inequalities for such networks, whose violation is a resource for device independence? In this Letter, the violation of recently derived polynomial Bell inequalities will be shown to allow for device independence on multisource networks, secure against nonsignaling eavesdroppers.

  4. A Comparison of Geographic Information Systems, Complex Networks, and Other Models for Analyzing Transportation Network Topologies

    Science.gov (United States)

    Alexandrov, Natalia (Technical Monitor); Kuby, Michael; Tierney, Sean; Roberts, Tyler; Upchurch, Christopher

    2005-01-01

    This report reviews six classes of models that are used for studying transportation network topologies. The report is motivated by two main questions. First, what can the "new science" of complex networks (scale-free, small-world networks) contribute to our understanding of transport network structure, compared to more traditional methods? Second, how can geographic information systems (GIS) contribute to studying transport networks? The report defines terms that can be used to classify different kinds of models by their function, composition, mechanism, spatial and temporal dimensions, certainty, linearity, and resolution. Six broad classes of models for analyzing transport network topologies are then explored: GIS; static graph theory; complex networks; mathematical programming; simulation; and agent-based modeling. Each class of models is defined and classified according to the attributes introduced earlier. The paper identifies some typical types of research questions about network structure that have been addressed by each class of model in the literature.

  5. Signaling networks: information flow, computation, and decision making.

    Science.gov (United States)

    Azeloglu, Evren U; Iyengar, Ravi

    2015-04-01

    Signaling pathways come together to form networks that connect receptors to many different cellular machines. Such networks not only receive and transmit signals but also process information. The complexity of these networks requires the use of computational models to understand how information is processed and how input-output relationships are determined. Two major computational approaches used to study signaling networks are graph theory and dynamical modeling. Both approaches are useful; network analysis (application of graph theory) helps us understand how the signaling network is organized and what its information-processing capabilities are, whereas dynamical modeling helps us determine how the system changes in time and space upon receiving stimuli. Computational models have helped us identify a number of emergent properties that signaling networks possess. Such properties include ultrasensitivity, bistability, robustness, and noise-filtering capabilities. These properties endow cell-signaling networks with the ability to ignore small or transient signals and/or amplify signals to drive cellular machines that spawn numerous physiological functions associated with different cell states. Copyright © 2015 Cold Spring Harbor Laboratory Press; all rights reserved.

  6. Phase transitions for information diffusion in random clustered networks

    Science.gov (United States)

    Lim, Sungsu; Shin, Joongbo; Kwak, Namju; Jung, Kyomin

    2016-09-01

    We study the conditions for the phase transitions of information diffusion in complex networks. Using the random clustered network model, a generalisation of the Chung-Lu random network model incorporating clustering, we examine the effect of clustering under the Susceptible-Infected-Recovered (SIR) epidemic diffusion model with heterogeneous contact rates. For this purpose, we exploit the branching process to analyse information diffusion in random unclustered networks with arbitrary contact rates, and provide novel iterative algorithms for estimating the conditions and sizes of global cascades, respectively. Showing that a random clustered network can be mapped into a factor graph, which is a locally tree-like structure, we successfully extend our analysis to random clustered networks with heterogeneous contact rates. We then identify the conditions for phase transitions of information diffusion using our method. Interestingly, for various contact rates, we prove that random clustered networks with higher clustering coefficients have strictly lower phase transition points for any given degree sequence. Finally, we confirm our analytical results with numerical simulations of both synthetically-generated and real-world networks.

  7. Knowledge Society Network: Toward a Dynamic, Sustained Network for Building Knowledge

    Science.gov (United States)

    Hong, Huang-Yao; Scardamalia, Marlene; Zhang, Jianwei

    2010-01-01

    The Knowledge Society Network (KSN) "takes advantage of new knowledge media to maximize and democratize society's knowledge-creating capacity" (www.ikit.org/KSN). This article synthesizes the principles and designs of this network which were initiated over 15 years ago, and presents an exploratory study of interactions in the KSN over…

  8. Network marketing with bounded rationality and partial information

    Science.gov (United States)

    Kiet, Hoang Anh Tuan; Kim, Beom Jun

    2008-08-01

    Network marketing has been proposed and used as a way to spread the product information to consumers through social connections. We extend the previous game model of the network marketing on a small-world tree network and propose two games: In the first model with the bounded rationality, each consumer makes purchase decision stochastically, while in the second model, consumers get only partial information due to the finite length of social connections. Via extensive numerical simulations, we find that as the rationality is enhanced not only the consumer surplus but also the firm’s profit is increased. The implication of our results is also discussed.

  9. Mozambique Health Information Network | CRDI - Centre de ...

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

    OASIS : une architecture, des normes et des systèmes d'information libres pour les services de santé en Afrique. Ce projet a pour but d'aider certains pays africains à concevoir puis à gérer des systèmes d'information sur la santé peu coûteux, viables et répondant aux besoins des établissements de... Voir davantageOASIS ...

  10. Social networks predict selective observation and information spread in ravens

    Science.gov (United States)

    Rubenstein, Daniel I.; Bugnyar, Thomas; Hoppitt, William; Mikus, Nace; Schwab, Christine

    2016-01-01

    Animals are predicted to selectively observe and learn from the conspecifics with whom they share social connections. Yet, hardly anything is known about the role of different connections in observation and learning. To address the relationships between social connections, observation and learning, we investigated transmission of information in two raven (Corvus corax) groups. First, we quantified social connections in each group by constructing networks on affiliative interactions, aggressive interactions and proximity. We then seeded novel information by training one group member on a novel task and allowing others to observe. In each group, an observation network based on who observed whose task-solving behaviour was strongly correlated with networks based on affiliative interactions and proximity. Ravens with high social centrality (strength, eigenvector, information centrality) in the affiliative interaction network were also central in the observation network, possibly as a result of solving the task sooner. Network-based diffusion analysis revealed that the order that ravens first solved the task was best predicted by connections in the affiliative interaction network in a group of subadult ravens, and by social rank and kinship (which influenced affiliative interactions) in a group of juvenile ravens. Our results demonstrate that not all social connections are equally effective at predicting the patterns of selective observation and information transmission. PMID:27493780

  11. Gene Regulatory Network Reconstruction Using Conditional Mutual Information

    Directory of Open Access Journals (Sweden)

    Xiaodong Wang

    2008-06-01

    Full Text Available The inference of gene regulatory network from expression data is an important area of research that provides insight to the inner workings of a biological system. The relevance-network-based approaches provide a simple and easily-scalable solution to the understanding of interaction between genes. Up until now, most works based on relevance network focus on the discovery of direct regulation using correlation coefficient or mutual information. However, some of the more complicated interactions such as interactive regulation and coregulation are not easily detected. In this work, we propose a relevance network model for gene regulatory network inference which employs both mutual information and conditional mutual information to determine the interactions between genes. For this purpose, we propose a conditional mutual information estimator based on adaptive partitioning which allows us to condition on both discrete and continuous random variables. We provide experimental results that demonstrate that the proposed regulatory network inference algorithm can provide better performance when the target network contains coregulated and interactively regulated genes.

  12. Information Theoretic Adaptive Tracking of Epidemics in Complex Networks

    CERN Document Server

    Harrington, Patrick L

    2013-01-01

    Adaptively monitoring the states of nodes in a large complex network is of interest in domains such as national security, public health, and energy grid management. Here, we present an information theoretic adaptive tracking and sampling framework that recursively selects measurements using the feedback from performing inference on a dynamic Bayesian Network. We also present conditions for the existence of a network specific, observation dependent, phase transition in the updated posterior of hidden node states resulting from actively monitoring the network. Since traditional epidemic thresholds are derived using observation independent Markov chains, the threshold of the posterior should more accurately model the true phase transition of a network. The adaptive tracking framework and epidemic threshold should provide insight into modeling the dynamic response of the updated posterior to active intervention and control policies while monitoring modern complex networks.

  13. Information theory and the ethylene genetic network.

    Science.gov (United States)

    González-García, José S; Díaz, José

    2011-10-01

    The original aim of the Information Theory (IT) was to solve a purely technical problem: to increase the performance of communication systems, which are constantly affected by interferences that diminish the quality of the transmitted information. That is, the theory deals only with the problem of transmitting with the maximal precision the symbols constituting a message. In Shannon's theory messages are characterized only by their probabilities, regardless of their value or meaning. As for its present day status, it is generally acknowledged that Information Theory has solid mathematical foundations and has fruitful strong links with Physics in both theoretical and experimental areas. However, many applications of Information Theory to Biology are limited to using it as a technical tool to analyze biopolymers, such as DNA, RNA or protein sequences. The main point of discussion about the applicability of IT to explain the information flow in biological systems is that in a classic communication channel, the symbols that conform the coded message are transmitted one by one in an independent form through a noisy communication channel, and noise can alter each of the symbols, distorting the message; in contrast, in a genetic communication channel the coded messages are not transmitted in the form of symbols but signaling cascades transmit them. Consequently, the information flow from the emitter to the effector is due to a series of coupled physicochemical processes that must ensure the accurate transmission of the message. In this review we discussed a novel proposal to overcome this difficulty, which consists of the modeling of gene expression with a stochastic approach that allows Shannon entropy (H) to be directly used to measure the amount of uncertainty that the genetic machinery has in relation to the correct decoding of a message transmitted into the nucleus by a signaling pathway. From the value of H we can define a function I that measures the amount of

  14. Information, public policy analysis and sustainable development in ...

    African Journals Online (AJOL)

    Information and public policy analysis are critical factors in adequate public policy formulation, implementation and evaluation if the public good is to be achieved in Nigeria. This paper has carried out a critical examination of the interface between information and the public policy process and the effect on public policy ...

  15. Geospatial Based Information System Development in Public Administration for Sustainable Development and Planning in Urban Environment

    OpenAIRE

    Georgios N. Kouziokas

    2016-01-01

    It is generally agreed that the governmental authorities should actively encourage the development of an efficient framework of information and communication technology initiatives so as to advance and promote sustainable development and planning strategies. This paper presents a prototype Information System for public administration which was designed to facilitate public management and decision making for sustainable development and planning. The system was developed by using several progra...

  16. Expanding the informational chemistries of life: peptide/RNA networks

    Science.gov (United States)

    Taran, Olga; Chen, Chenrui; Omosun, Tolulope O.; Hsieh, Ming-Chien; Rha, Allisandra; Goodwin, Jay T.; Mehta, Anil K.; Grover, Martha A.; Lynn, David G.

    2017-11-01

    The RNA world hypothesis simplifies the complex biopolymer networks underlining the informational and metabolic needs of living systems to a single biopolymer scaffold. This simplification requires abiotic reaction cascades for the construction of RNA, and this chemistry remains the subject of active research. Here, we explore a complementary approach involving the design of dynamic peptide networks capable of amplifying encoded chemical information and setting the stage for mutualistic associations with RNA. Peptide conformational networks are known to be capable of evolution in disease states and of co-opting metal ions, aromatic heterocycles and lipids to extend their emergent behaviours. The coexistence and association of dynamic peptide and RNA networks appear to have driven the emergence of higher-order informational systems in biology that are not available to either scaffold independently, and such mutualistic interdependence poses critical questions regarding the search for life across our Solar System and beyond. This article is part of the themed issue 'Reconceptualizing the origins of life'.

  17. Diversification of the resources of the Parisian water network : contribution to sustainable management of water resources

    OpenAIRE

    Trinh, Bich-Thuy

    2017-01-01

    At the scale of a city, a sustainable water management raises questions about the links between uses and resources: what water quality is needed for what purpose? The Parisian context is a favourable ground for conducting such type of reflection thanks to the existence of a non-potable water network (RENP) dating from the late nineteenth century. The network is currently supplied by summarily filtrated water from the Seine river (20%) and the canal de l’Ourcql (80%). It is mainly used for mun...

  18. Sustainable Investments in the Road Network Considering the Introduction of Automated Vehicles

    OpenAIRE

    Boonman, Xavier

    2016-01-01

    Governments invest a lot of money in the road network and the automated vehicle will play a role in the future. The research question is: How can the current investments in the road network be made sustainable for the introduction of automated vehicles? The communication between cars and infrastructure will be with WI-FI-P and 5G communication. Traffic signs will disappear but not all traffic signs be removed. The road authority probably will invest less in physical and more in the digital...

  19. Propagating semantic information in biochemical network models

    Directory of Open Access Journals (Sweden)

    Schulz Marvin

    2012-01-01

    Full Text Available Abstract Background To enable automatic searches, alignments, and model combination, the elements of systems biology models need to be compared and matched across models. Elements can be identified by machine-readable biological annotations, but assigning such annotations and matching non-annotated elements is tedious work and calls for automation. Results A new method called "semantic propagation" allows the comparison of model elements based not only on their own annotations, but also on annotations of surrounding elements in the network. One may either propagate feature vectors, describing the annotations of individual elements, or quantitative similarities between elements from different models. Based on semantic propagation, we align partially annotated models and find annotations for non-annotated model elements. Conclusions Semantic propagation and model alignment are included in the open-source library semanticSBML, available on sourceforge. Online services for model alignment and for annotation prediction can be used at http://www.semanticsbml.org.

  20. 78 FR 71631 - Committee Name: Homeland Security Information Network Advisory Committee (HSINAC)

    Science.gov (United States)

    2013-11-29

    ... SECURITY Committee Name: Homeland Security Information Network Advisory Committee (HSINAC) AGENCY... Management; Notice of Federal Advisory Committee Meeting. SUMMARY: The Homeland Security Information Network... Homeland Security Information Network Advisory Committee (HSINAC) is an advisory body to the Homeland...

  1. 75 FR 57521 - Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010...

    Science.gov (United States)

    2010-09-21

    ... FOUNDATION Networking and Information Technology Research and Development (NITRD) Program: Draft NITRD 2010 Strategic Plan--URL Correction AGENCY: The National Coordination Office (NCO) for Networking and Information... Coordination Office for Networking and Information Technology Research and Development (NITRD) requests...

  2. Employee Engagement for Sustainable Organizations: Keyword Analysis Using Social Network Analysis and Burst Detection Approach

    Directory of Open Access Journals (Sweden)

    Woocheol Kim

    2016-07-01

    Full Text Available The issue of sustainability is a vital long-term goal for organizations and as such has formed the basis of much academic research over the last two decades. Organizational sustainability is defined as the ability for an organization to accomplish a range of economic, environmental, and human performance objectives. As one of the most studied topics in organizational science, employee engagement at work is seen as a critical component to achieving sustainable organizational success. In order to better understand the employee engagement discourse, this study examined the keywords that appear in the titles and abstract of the employee engagement research domain using the burst detection and social network analysis techniques. A total of 1406 employee engagement relevant articles that were published from 1990 to 2015 were included and investigated in the study. The results revealed the fading, emerging, and central themes within the employee engagement domain.

  3. ANALYSIS OF A NETWORK OF COOPERATION IN MISIONES, ARGENTINA: BENEFITS AND LACKS FOR LOCAL SUSTAINABLE DEVELOPMENT

    OpenAIRE

    Juan Carlos, Michalus; Gilberto, Hernández Pérez

    2012-01-01

    We present a case study of a network of existing cooperation in the province of Misiones, Argentina, composed of Small and Medium Enterprises (SMEs) Elaboration of black tea and a group of SMEs from sawn wood, formed from the particular initiative of the tea entrepreneur. The aim is to identify the benefits of working in cooperation and, in turn, highlight the lacks when these processes are not performed in a planned and sustainable local oriented development. The case study that is exposed i...

  4. Sustainable Materials Management (SMM) - Recycling Economic Information (REI) Report

    Data.gov (United States)

    U.S. Environmental Protection Agency — The 2016 Recycling Economic Information (REI) Report aims to increase the understanding of the economic implications of material reuse and recycling. The report...

  5. Flow of natural versus economic capital in industrial supply networks and its implications to sustainability.

    Science.gov (United States)

    Ukidwe, Nandan U; Bakshi, Bhavik R

    2005-12-15

    Appreciating the reliance of industrial networks on natural capital is a necessary step toward their sustainable design and operation. However, most contemporary accounting techniques, including engineering economics, life cycle assessment, and full cost accounting, fail in this regard, as they take natural capital for granted and concentrate mainly on the economic aspects and emissions. The recently developed "thermodynamic input-output analysis" (TIOA) includes the contribution of ecological goods, ecosystem services, human resources, and impact of emissions in an economic input-output model. This paper uses TIOA to determine the throughputs of natural and economic capitals along industrial supply networks. The ratios of natural to economic capitals of economic sectors reveals a hierarchical organization of the U.S. economy wherein basic infrastructure industries are at the bottom and specialized value-added industries constitute the top. These results provide novel insight into the reliance of specific industrial sectors and supply chains on natural capital and the corresponding economic throughput. Such insight is useful for understanding the implications of corporate restructuring on industrial sustainability metrics and of outsourcing of business activities on outsourcer, outsourcee, and global sustainability. These implications are discussed from the standpoints of weak and strong sustainability paradigms. The calculated ratios can also be used for hybrid thermodynamic life cycle assessment.

  6. Mutual information-based LPI optimisation for radar network

    Science.gov (United States)

    Shi, Chenguang; Zhou, Jianjiang; Wang, Fei; Chen, Jun

    2015-07-01

    Radar network can offer significant performance improvement for target detection and information extraction employing spatial diversity. For a fixed number of radars, the achievable mutual information (MI) for estimating the target parameters may extend beyond a predefined threshold with full power transmission. In this paper, an effective low probability of intercept (LPI) optimisation algorithm is presented to improve LPI performance for radar network. Based on radar network system model, we first provide Schleher intercept factor for radar network as an optimisation metric for LPI performance. Then, a novel LPI optimisation algorithm is presented, where for a predefined MI threshold, Schleher intercept factor for radar network is minimised by optimising the transmission power allocation among radars in the network such that the enhanced LPI performance for radar network can be achieved. The genetic algorithm based on nonlinear programming (GA-NP) is employed to solve the resulting nonconvex and nonlinear optimisation problem. Some simulations demonstrate that the proposed algorithm is valuable and effective to improve the LPI performance for radar network.

  7. Creating Possible Selves: Information Disclosure Behaviour on Social Networks

    Science.gov (United States)

    Bronstein, Jenny

    2014-01-01

    Introduction: This study investigates the creation of alternative identities or possible selves on social networks by examining self-presentation and self-disclosure as elements of the information disclosure behaviour of Facebook users. Method. An online questionnaire was distributed amongst library and information science students at Bar-Ilan…

  8. Rwanda Health and Education Information Network (OASIS-RHEIN ...

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

    Rwanda Health and Education Information Network (OASIS-RHEIN). Partners in Health (PIH), ... As a result, the Ministry of Health has decided to roll out OpenMRS nationally to track patient-level medical information for improved healthcare delivery and human capacity development. Rolling out OpenMRS will require that ...

  9. Information Sharing During Crisis Management in Hierarchical vs. Network Teams

    NARCIS (Netherlands)

    Schraagen, J.M.C.; Veld, M.H.I.T.; Koning, L. de

    2010-01-01

    This study examines the differences between hierarchical and network teams in emergency management. A controlled experimental environment was created in which we could study teams that differed in decision rights, availability of information, information sharing, and task division. Thirty-two teams

  10. Applying Real Options Thinking to Information Security in Networked Organizations

    NARCIS (Netherlands)

    Daneva, Maia

    2006-01-01

    An information security strategy of an organization participating in a networked business sets out the plans for designing a variety of actions that ensure confidentiality, availability, and integrity of company’s key information assets. The actions are concerned with authentication and

  11. Scholarly information discovery in the networked academic learning environment

    CERN Document Server

    Li, LiLi

    2014-01-01

    In the dynamic and interactive academic learning environment, students are required to have qualified information literacy competencies while critically reviewing print and electronic information. However, many undergraduates encounter difficulties in searching peer-reviewed information resources. Scholarly Information Discovery in the Networked Academic Learning Environment is a practical guide for students determined to improve their academic performance and career development in the digital age. Also written with academic instructors and librarians in mind who need to show their students how to access and search academic information resources and services, the book serves as a reference to promote information literacy instructions. This title consists of four parts, with chapters on the search for online and printed information via current academic information resources and services: part one examines understanding information and information literacy; part two looks at academic information delivery in the...

  12. Scalable Hierarchical Network Management System for Displaying Network Information in Three Dimensions

    Science.gov (United States)

    George, Jude (Inventor); Schlecht, Leslie (Inventor); McCabe, James D. (Inventor); LeKashman, John Jr. (Inventor)

    1998-01-01

    A network management system has SNMP agents distributed at one or more sites, an input output module at each site, and a server module located at a selected site for communicating with input output modules, each of which is configured for both SNMP and HNMP communications. The server module is configured exclusively for HNMP communications, and it communicates with each input output module according to the HNMP. Non-iconified, informationally complete views are provided of network elements to aid in network management.

  13. An information search model for online social Networks - MOBIRSE

    Directory of Open Access Journals (Sweden)

    J. A. Astaiza

    2015-12-01

    Full Text Available Online Social Networks (OSNs have been gaining great importance among Internet users in recent years. These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites has grown exponentially, and web search has consequently become an important tool for users to easily find information relevant to their social networking objectives. Making use of ontologies and user profiles can make these searches more effective. This article presents a model for Information Retrieval in OSNs (MOBIRSE based on user profile and ontologies which aims to improve the relevance of retrieved information on these websites. The social network Facebook was chosen for a case study and as the instance for the proposed model. The model was validated using measures such as At-k Precision and Kappa statistics, to assess its efficiency.

  14. Using Bayesian networks to support decision-focused information retrieval

    Energy Technology Data Exchange (ETDEWEB)

    Lehner, P.; Elsaesser, C.; Seligman, L. [Mitre Corp., McLean, VA (United States)

    1996-12-31

    This paper has described an approach to controlling the process of pulling data/information from distributed data bases in a way that is specific to a persons specific decision making context. Our prototype implementation of this approach uses a knowledge-based planner to generate a plan, an automatically constructed Bayesian network to evaluate the plan, specialized processing of the network to derive key information items that would substantially impact the evaluation of the plan (e.g., determine that replanning is needed), automated construction of Standing Requests for Information (SRIs) which are automated functions that monitor changes and trends in distributed data base that are relevant to the key information items. This emphasis of this paper is on how Bayesian networks are used.

  15. How Did the Information Flow in the #AlphaGo Hashtag Network? A Social Network Analysis of the Large-Scale Information Network on Twitter.

    Science.gov (United States)

    Kim, Jinyoung

    2017-12-01

    As it becomes common for Internet users to use hashtags when posting and searching information on social media, it is important to understand who builds a hashtag network and how information is circulated within the network. This article focused on unlocking the potential of the #AlphaGo hashtag network by addressing the following questions. First, the current study examined whether traditional opinion leadership (i.e., the influentials hypothesis) or grassroot participation by the public (i.e., the interpersonal hypothesis) drove dissemination of information in the hashtag network. Second, several unique patterns of information distribution by key users were identified. Finally, the association between attributes of key users who exerted great influence on information distribution (i.e., the number of followers and follows) and their central status in the network was tested. To answer the proffered research questions, a social network analysis was conducted using a large-scale hashtag network data set from Twitter (n = 21,870). The results showed that the leading actors in the network were actively receiving information from their followers rather than serving as intermediaries between the original information sources and the public. Moreover, the leading actors played several roles (i.e., conversation starters, influencers, and active engagers) in the network. Furthermore, the number of their follows and followers were significantly associated with their central status in the hashtag network. Based on the results, the current research explained how the information was exchanged in the hashtag network by proposing the reciprocal model of information flow.

  16. Gender and translocal networking through information technology

    OpenAIRE

    Spiegel, Anna; Harig, Nadine

    2002-01-01

    Die Beiträge des Workshops gingen in der Regel auf empirische Feldforschung zurück und behandelten die grundlegende Rolle der Informations- und Kommunikationstechnologien im Globalisierungsprozess. Diese Technologien erlauben eine Vernetzung lokaler Akteure mit globalen Informationsströmen. Unterstrichen wurde vor allem die aktive Rolle, die Frauen mit ihren Erfahrungen in der Arbeit in überlokalen Netzwerken in den neuen Medien spielen, und die Herausforderungen, die sich daraus für eine ge...

  17. Securing Information with Complex Optical Encryption Networks

    Science.gov (United States)

    2015-08-11

    easily generated by using amplitude-only spatial light modulator . When the designed aperture is sequentially moved in the transverse domain, a series...Xudong Chen, “Fractional Fourier domain optical image hiding using phase retrieval algorithm based on iterative nonlinear double random phase...Final 3. DATES COVERED (From - To) 18 April 2013 to 17 April 2015 4. TITLE AND SUBTITLE Securing Information with Complex Optical

  18. Development of a system dynamics model for financially sustainable management of municipal watermain networks.

    Science.gov (United States)

    Rehan, R; Knight, M A; Unger, A J A; Haas, C T

    2013-12-15

    This paper develops causal loop diagrams and a system dynamics model for financially sustainable management of urban water distribution networks. The developed causal loop diagrams are a novel contribution in that it illustrates the unique characteristics and feedback loops for financially self-sustaining water distribution networks. The system dynamics model is a mathematical realization of the developed interactions among system variables over time and is comprised of three sectors namely watermains network, consumer, and finance. This is the first known development of a water distribution network system dynamics model. The watermains network sector accounts for the unique characteristics of watermain pipes such as service life, deterioration progression, pipe breaks, and water leakage. The finance sector allows for cash reserving by the utility in addition to the pay-as-you-go and borrowing strategies. The consumer sector includes controls to model water fee growth as a function of service performance and a household's financial burden due to water fees. A series of policy levers are provided that allow the impact of various financing strategies to be evaluated in terms of financial sustainability and household affordability. The model also allows for examination of the impact of different management strategies on the water fee in terms of consistency and stability over time. The paper concludes with a discussion on how the developed system dynamics water model can be used by water utilities to achieve a variety of utility short and long-term objectives and to establish realistic and defensible water utility policies. It also discusses how the model can be used by regulatory bodies, government agencies, the financial industry, and researchers. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

  19. Women in the Informal Work Sector and Sustainability Options ...

    African Journals Online (AJOL)

    Women remain concentrated in invisible areas of informal work, such as domestic labour and assistance in small family enterprises, which offer precarious employment status, low, irregular or no remuneration, little or no access to social security or protection and limited ability to organize to ensure the enforcement of ILO ...

  20. Sustainable and equitable sanitation in informal settlements of Cape ...

    African Journals Online (AJOL)

    There is, however, a gap between policy and implementation, and part of the problem lies in the challenge of reconciling the pressure to deliver .... Qualitative. *In South Africa, informal settlement users typically do not pay for water and sanitation services although backyard dwellers in formal settlements may do so.

  1. A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

    Science.gov (United States)

    Gardner, Toby A.; Ferreira, Joice; Barlow, Jos; Lees, Alexander C.; Parry, Luke; Vieira, Ima Célia Guimarães; Berenguer, Erika; Abramovay, Ricardo; Aleixo, Alexandre; Andretti, Christian; Aragão, Luiz E. O. C.; Araújo, Ivanei; de Ávila, Williams Souza; Bardgett, Richard D.; Batistella, Mateus; Begotti, Rodrigo Anzolin; Beldini, Troy; de Blas, Driss Ezzine; Braga, Rodrigo Fagundes; Braga, Danielle de Lima; de Brito, Janaína Gomes; de Camargo, Plínio Barbosa; Campos dos Santos, Fabiane; de Oliveira, Vívian Campos; Cordeiro, Amanda Cardoso Nunes; Cardoso, Thiago Moreira; de Carvalho, Déborah Reis; Castelani, Sergio André; Chaul, Júlio Cézar Mário; Cerri, Carlos Eduardo; Costa, Francisco de Assis; da Costa, Carla Daniele Furtado; Coudel, Emilie; Coutinho, Alexandre Camargo; Cunha, Dênis; D'Antona, Álvaro; Dezincourt, Joelma; Dias-Silva, Karina; Durigan, Mariana; Esquerdo, Júlio César Dalla Mora; Feres, José; Ferraz, Silvio Frosini de Barros; Ferreira, Amanda Estefânia de Melo; Fiorini, Ana Carolina; da Silva, Lenise Vargas Flores; Frazão, Fábio Soares; Garrett, Rachel; Gomes, Alessandra dos Santos; Gonçalves, Karoline da Silva; Guerrero, José Benito; Hamada, Neusa; Hughes, Robert M.; Igliori, Danilo Carmago; Jesus, Ederson da Conceição; Juen, Leandro; Junior, Miércio; Junior, José Max Barbosa de Oliveira; Junior, Raimundo Cosme de Oliveira; Junior, Carlos Souza; Kaufmann, Phil; Korasaki, Vanesca; Leal, Cecília Gontijo; Leitão, Rafael; Lima, Natália; Almeida, Maria de Fátima Lopes; Lourival, Reinaldo; Louzada, Júlio; Nally, Ralph Mac; Marchand, Sébastien; Maués, Márcia Motta; Moreira, Fátima M. S.; Morsello, Carla; Moura, Nárgila; Nessimian, Jorge; Nunes, Sâmia; Oliveira, Victor Hugo Fonseca; Pardini, Renata; Pereira, Heloisa Correia; Pompeu, Paulo Santos; Ribas, Carla Rodrigues; Rossetti, Felipe; Schmidt, Fernando Augusto; da Silva, Rodrigo; da Silva, Regina Célia Viana Martins; da Silva, Thiago Fonseca Morello Ramalho; Silveira, Juliana; Siqueira, João Victor; de Carvalho, Teotônio Soares; Solar, Ricardo R. C.; Tancredi, Nicola Savério Holanda; Thomson, James R.; Torres, Patrícia Carignano; Vaz-de-Mello, Fernando Zagury; Veiga, Ruan Carlo Stulpen; Venturieri, Adriano; Viana, Cecília; Weinhold, Diana; Zanetti, Ronald; Zuanon, Jansen

    2013-01-01

    Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazônia Sustentável, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far. PMID:23610172

  2. A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network.

    Science.gov (United States)

    Gardner, Toby A; Ferreira, Joice; Barlow, Jos; Lees, Alexander C; Parry, Luke; Vieira, Ima Célia Guimarães; Berenguer, Erika; Abramovay, Ricardo; Aleixo, Alexandre; Andretti, Christian; Aragão, Luiz E O C; Araújo, Ivanei; de Ávila, Williams Souza; Bardgett, Richard D; Batistella, Mateus; Begotti, Rodrigo Anzolin; Beldini, Troy; de Blas, Driss Ezzine; Braga, Rodrigo Fagundes; Braga, Danielle de Lima; de Brito, Janaína Gomes; de Camargo, Plínio Barbosa; Campos dos Santos, Fabiane; de Oliveira, Vívian Campos; Cordeiro, Amanda Cardoso Nunes; Cardoso, Thiago Moreira; de Carvalho, Déborah Reis; Castelani, Sergio André; Chaul, Júlio Cézar Mário; Cerri, Carlos Eduardo; Costa, Francisco de Assis; da Costa, Carla Daniele Furtado; Coudel, Emilie; Coutinho, Alexandre Camargo; Cunha, Dênis; D'Antona, Álvaro; Dezincourt, Joelma; Dias-Silva, Karina; Durigan, Mariana; Esquerdo, Júlio César Dalla Mora; Feres, José; Ferraz, Silvio Frosini de Barros; Ferreira, Amanda Estefânia de Melo; Fiorini, Ana Carolina; da Silva, Lenise Vargas Flores; Frazão, Fábio Soares; Garrett, Rachel; Gomes, Alessandra dos Santos; Gonçalves, Karoline da Silva; Guerrero, José Benito; Hamada, Neusa; Hughes, Robert M; Igliori, Danilo Carmago; Jesus, Ederson da Conceição; Juen, Leandro; Junior, Miércio; de Oliveira Junior, José Max Barbosa; de Oliveira Junior, Raimundo Cosme; Souza Junior, Carlos; Kaufmann, Phil; Korasaki, Vanesca; Leal, Cecília Gontijo; Leitão, Rafael; Lima, Natália; Almeida, Maria de Fátima Lopes; Lourival, Reinaldo; Louzada, Júlio; Mac Nally, Ralph; Marchand, Sébastien; Maués, Márcia Motta; Moreira, Fátima M S; Morsello, Carla; Moura, Nárgila; Nessimian, Jorge; Nunes, Sâmia; Oliveira, Victor Hugo Fonseca; Pardini, Renata; Pereira, Heloisa Correia; Pompeu, Paulo Santos; Ribas, Carla Rodrigues; Rossetti, Felipe; Schmidt, Fernando Augusto; da Silva, Rodrigo; da Silva, Regina Célia Viana Martins; da Silva, Thiago Fonseca Morello Ramalho; Silveira, Juliana; Siqueira, João Victor; de Carvalho, Teotônio Soares; Solar, Ricardo R C; Tancredi, Nicola Savério Holanda; Thomson, James R; Torres, Patrícia Carignano; Vaz-de-Mello, Fernando Zagury; Veiga, Ruan Carlo Stulpen; Venturieri, Adriano; Viana, Cecília; Weinhold, Diana; Zanetti, Ronald; Zuanon, Jansen

    2013-06-05

    Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazônia Sustentável, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.

  3. Extracting Backbones from Weighted Complex Networks with Incomplete Information

    Directory of Open Access Journals (Sweden)

    Liqiang Qian

    2015-01-01

    Full Text Available The backbone is the natural abstraction of a complex network, which can help people understand a networked system in a more simplified form. Traditional backbone extraction methods tend to include many outliers into the backbone. What is more, they often suffer from the computational inefficiency—the exhaustive search of all nodes or edges is often prohibitively expensive. In this paper, we propose a backbone extraction heuristic with incomplete information (BEHwII to find the backbone in a complex weighted network. First, a strict filtering rule is carefully designed to determine edges to be preserved or discarded. Second, we present a local search model to examine part of edges in an iterative way, which only relies on the local/incomplete knowledge rather than the global view of the network. Experimental results on four real-life networks demonstrate the advantage of BEHwII over the classic disparity filter method by either effectiveness or efficiency validity.

  4. Issues in the use of neural networks in information retrieval

    CERN Document Server

    Iatan, Iuliana F

    2017-01-01

    This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality. It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules. Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.

  5. Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

    Directory of Open Access Journals (Sweden)

    Yan Guo

    2018-01-01

    Full Text Available A lack of in-depth excavation of user and resources information has become the main bottleneck restricting the predictive analytics of recommendation systems in mobile commerce. This article provides a method which makes use of multi-source information to analyze consumers’ requirements for e-commerce recommendation systems. Combined with the characteristics of mobile e-commerce, this method employs an improved radial basis function (RBF network in order to determine the weights of recommendations, and an improved Dempster–Shafer theory to fuse the multi-source information. Power-spectrum estimation is then used to handle the fusion results and allow decision-making. The experimental results illustrate that the traditional method is inferior to the proposed approach in terms of recommendation accuracy, simplicity, coverage rate and recall rate. These achievements can further improve recommendation systems, and promote the sustainable development of e-business.

  6. Utilizing evolutionary information and gene expression data for estimating gene networks with bayesian network models.

    Science.gov (United States)

    Tamada, Yoshinori; Bannai, Hideo; Imoto, Seiya; Katayama, Toshiaki; Kanehisa, Minoru; Miyano, Satoru

    2005-12-01

    Since microarray gene expression data do not contain sufficient information for estimating accurate gene networks, other biological information has been considered to improve the estimated networks. Recent studies have revealed that highly conserved proteins that exhibit similar expression patterns in different organisms, have almost the same function in each organism. Such conserved proteins are also known to play similar roles in terms of the regulation of genes. Therefore, this evolutionary information can be used to refine regulatory relationships among genes, which are estimated from gene expression data. We propose a statistical method for estimating gene networks from gene expression data by utilizing evolutionarily conserved relationships between genes. Our method simultaneously estimates two gene networks of two distinct organisms, with a Bayesian network model utilizing the evolutionary information so that gene expression data of one organism helps to estimate the gene network of the other. We show the effectiveness of the method through the analysis on Saccharomyces cerevisiae and Homo sapiens cell cycle gene expression data. Our method was successful in estimating gene networks that capture many known relationships as well as several unknown relationships which are likely to be novel. Supplementary information is available at http://bonsai.ims.u-tokyo.ac.jp/~tamada/bayesnet/.

  7. Exploiting Network Topology Information to Mitigate Ambiguities in VMP Localization

    DEFF Research Database (Denmark)

    Pedersen, Claus; Pedersen, Troels; Fleury, Bernard Henri

    2011-01-01

    We investigate an extension to the probabilistic model of a wireless sensor network (WSN) in the variational message passing localization algorithm. This extension exploits network topology information to mitigate ambiguities in WSN localization schemes. In a simulation case study we show...... that this extension in some cases improves the location estimates produced by the algorithm. The final version of the paper will present quantitative results from more extensive investigations that will document the extent of this improvement....

  8. Scheduling Data Access in Smart Grid Networks Utilizing Context Information

    DEFF Research Database (Denmark)

    Findrik, Mislav; Grønbæk, Jesper; Olsen, Rasmus Løvenstein

    2014-01-01

    managing this fast flexibility requires two-way data exchange between a controller and sensors/meters via communication networks. In this paper we investigated scheduling of data collection utilizing meta-data from sensors that are describing dynamics of information. We show the applicability...... of this approach for a constraint communication networks of the smart grid and compared three general data access mechanisms, namely, push, pull and event-based....

  9. Construction of the NIFS campus information network, NIFS-LAN

    Energy Technology Data Exchange (ETDEWEB)

    Tsuda, Kenzo; Yamamoto, Takashi; Kato, Takeo; Nakamura, Osamu; Watanabe, Kunihiko; Watanabe, Reiko; Tsugawa, Kazuko; Kamimura, Tetsuo

    2000-10-01

    The advanced NIFS campus information network, NIFS-LAN, was designed and constructed as an informational infrastructure in 1996, 1997 and 1998 fiscal year. NIFS-LAN was composed of three autonomous clusters classified from research purpose; Research Information cluster, Large Helical Device Experiment cluster and Large-Scale Computer Simulation Research cluster. Many ATM(Asychronous Transfer Mode) switching systems and switching equipments were used for NIFS-LAN. Here, the outline of NIFS-LAN is described. (author)

  10. [Health system sustainability from a network perspective: a proposal to optimize healthy habits and social support].

    Science.gov (United States)

    Marqués Sánchez, Pilar; Fernández Peña, Rosario; Cabrera León, Andrés; Muñoz Doyague, María F; Llopis Cañameras, Jaime; Arias Ramos, Natalia

    2013-01-01

    The search of new health management formulas focused to give wide services is one of the priorities of our present health policies. Those formulas examine the optimization of the links between the main actors involved in public health, ie, users, professionals, local socio-political and corporate agents. This paper is aimed to introduce the Social Network Analysis as a method for analyzing, measuring and interpreting those connections. The knowledge of people's relationships (what is called social networks) in the field of public health is becoming increasingly important at an international level. In fact, countries such as UK, Netherlands, Italy, Australia and U.S. are looking formulas to apply this knowledge to their health departments. With this work we show the utility of the ARS on topics related to sustainability of the health system, particularly those related with health habits and social support, topics included in the 2020 health strategies that underline the importance of the collaborative aspects in networks.

  11. Enhanced reliable transmission control protocol for spatial information networks

    Science.gov (United States)

    Qin, Zhihong; Zhang, Juan; Wang, Junfeng

    2009-12-01

    Satellites channels are generally featured by high bit error rate (BER), long propagation delay, large bandwidth-delay product (BDP) and so on. This tends to make the traditional TCP suffer from serious performance degradation in satellite networks. Therefore, a TCP-compatible reliable transmission protocol (i.e., TCP-AX) for spatial information networks is proposed in this paper. And a bandwidth probing mechanism is designed to distinguish network congestion and link error. Simulation results show that TCP-AX has better performance than some popular enhanced TCP protocols.

  12. Gravity Effects on Information Filtering and Network Evolving

    Science.gov (United States)

    Liu, Jin-Hu; Zhang, Zi-Ke; Chen, Lingjiao; Liu, Chuang; Yang, Chengcheng; Wang, Xueqi

    2014-01-01

    In this paper, based on the gravity principle of classical physics, we propose a tunable gravity-based model, which considers tag usage pattern to weigh both the mass and distance of network nodes. We then apply this model in solving the problems of information filtering and network evolving. Experimental results on two real-world data sets, Del.icio.us and MovieLens, show that it can not only enhance the algorithmic performance, but can also better characterize the properties of real networks. This work may shed some light on the in-depth understanding of the effect of gravity model. PMID:24622162

  13. Reservation information sharing enhancement for deflection routing in OBS network.

    Science.gov (United States)

    Gao, Donghui; Zhang, Hanyi; Zhou, Zhiyu

    2005-03-07

    The resource contention problem is critical in Just-Enough-Time (JET) based optical burst switching (OBS) networks. Although deflection routing (DR) reduces the contention probability in some degree, it does not give much improvement under heavy traffic load. This paper analyzed the inducement causing contention in OBS networks, and proposed Resource Information Sharing Enhancement (RISE) scheme. Theoretical analysis shows that this scheme achieves shorter length of the detour path than normal DR. We simulated this scheme on both full mesh network and practical 14-node NSFNET. The simulation results show that it gives at best 2 orders magnitude improvement in reducing the burst contention probability over its previous routing approaches.

  14. A Capability Maturity Framework for Sustainable Information and Communication Technology

    OpenAIRE

    Donnellan, Brian; Sheridan, Charles; Curry, Edward

    2011-01-01

    Researchers estimate that information and communication technology (ICT) is responsible for at least 2 percent of global greenhouse gas (GHG) emissions. Furthermore, in any individual business, ICT is responsible for a much higher percentage of that business's GHG footprint. Yet researchers also estimate that ICT can provide business solutions to reduce its GHG footprint fivefold. However, because the field is new and evolving, few guidelines and best practices are available. To address this ...

  15. The development of Sustainability Graduate Community (SGC) as a learning pathway for sustainability education - a framework for engineering programmes in Malaysia Technical Universities Network (MTUN)

    Science.gov (United States)

    Johan, Kartina; Mohd Turan, Faiz

    2016-11-01

    ‘Environmental and sustainability’ is one of the Program Outcome (PO) designated by the Board of Engineers Malaysia (BEM) as one of the accreditation program requirement. However, to-date the implementation of sustainability elements in engineering programme in the technical universities in Malaysia is within individual faculty's curriculum plan and lack of university-level structured learning pathway, which enable all students to have access to an education in sustainability across all disciplines. Sustainability Graduate Community (SGC) is a framework designed to provide a learning pathway in the curriculum of engineering programs to inculcate sustainability education among engineering graduates. This paper aims to study the required attributes in Sustainability Graduate Community (SGC) framework to produce graduates who are not just engineers but also skilful in sustainability competencies using Global Project Management (GPM) P5 Standard for Sustainability. The development of the conceptual framework is to provide a constructive teaching and learning plan for educators and policy makers to work on together in developing the Sustainability Graduates (SG), the new kind of graduates from Malaysia Technical Universities Network (MTUN) in Malaysia who are literate in sustainability practices. The framework also support the call for developing holistic students based on Malaysian Education Blueprint (Higher Education) and address the gap between the statuses of engineering qualification to the expected competencies from industries in Malaysia in particular by achieving the SG attributes outlined in the framework

  16. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Meyer Patrick

    2007-01-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

  17. Information-Theoretic Inference of Large Transcriptional Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Patrick E. Meyer

    2007-06-01

    Full Text Available The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR, an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting among the least redundant variables the ones that have the highest mutual information with the target. MRNET extends this feature selection principle to networks in order to infer gene-dependence relationships from microarray data. The paper assesses MRNET by benchmarking it against RELNET, CLR, and ARACNE, three state-of-the-art information-theoretic methods for large (up to several thousands of genes network inference. Experimental results on thirty synthetically generated microarray datasets show that MRNET is competitive with these methods.

  18. Information flow in a network of dispersed signalers-receivers

    Science.gov (United States)

    Halupka, Konrad

    2017-11-01

    I consider a stochastic model of multi-agent communication in regular network. The model describes how dispersed animals exchange information. Each agent can initiate and transfer the signal to its nearest neighbors, who may pass it farther. For an external observer of busy networks, signaling activity may appear random, even though information flow actually thrives. Only when signal initiation and transfer are at low levels do spatiotemporal autocorrelations emerge as clumping signaling activity in space and pink noise time series. Under such conditions, the costs of signaling are moderate, but the signaler can reach a large audience. I propose that real-world networks of dispersed signalers-receivers may self-organize into this state and the flow of information maintains their integrity.

  19. Reverse Engineering Cellular Networks with Information Theoretic Methods

    Directory of Open Access Journals (Sweden)

    Julio R. Banga

    2013-05-01

    Full Text Available Building mathematical models of cellular networks lies at the core of systems biology. It involves, among other tasks, the reconstruction of the structure of interactions between molecular components, which is known as network inference or reverse engineering. Information theory can help in the goal of extracting as much information as possible from the available data. A large number of methods founded on these concepts have been proposed in the literature, not only in biology journals, but in a wide range of areas. Their critical comparison is difficult due to the different focuses and the adoption of different terminologies. Here we attempt to review some of the existing information theoretic methodologies for network inference, and clarify their differences. While some of these methods have achieved notable success, many challenges remain, among which we can mention dealing with incomplete measurements, noisy data, counterintuitive behaviour emerging from nonlinear relations or feedback loops, and computational burden of dealing with large data sets.

  20. Geospatial Based Information System Development in Public Administration for Sustainable Development and Planning in Urban Environment

    Science.gov (United States)

    Kouziokas, Georgios N.

    2016-09-01

    It is generally agreed that the governmental authorities should actively encourage the development of an efficient framework of information and communication technology initiatives so as to advance and promote sustainable development and planning strategies. This paper presents a prototype Information System for public administration which was designed to facilitate public management and decision making for sustainable development and planning. The system was developed by using several programming languages and programming tools and also a Database Management System (DBMS) for storing and managing urban data of many kinds. Furthermore, geographic information systems were incorporated into the system in order to make possible to the authorities to deal with issues of spatial nature such as spatial planning. The developed system provides a technology based management of geospatial information, environmental and crime data of urban environment aiming at improving public decision making and also at contributing to a more efficient sustainable development and planning.

  1. Interspecific social networks promote information transmission in wild songbirds.

    Science.gov (United States)

    Farine, Damien R; Aplin, Lucy M; Sheldon, Ben C; Hoppitt, William

    2015-03-22

    Understanding the functional links between social structure and population processes is a central aim of evolutionary ecology. Multiple types of interactions can be represented by networks drawn for the same population, such as kinship, dominance or affiliative networks, but the relative importance of alternative networks in modulating population processes may not be clear. We illustrate this problem, and a solution, by developing a framework for testing the importance of different types of association in facilitating the transmission of information. We apply this framework to experimental data from wild songbirds that form mixed-species flocks, recording the arrival (patch discovery) of individuals to novel foraging sites. We tested whether intraspecific and interspecific social networks predicted the spread of information about novel food sites, and found that both contributed to transmission. The likelihood of acquiring information per unit of connection to knowledgeable individuals increased 22-fold for conspecifics, and 12-fold for heterospecifics. We also found that species varied in how much information they produced, suggesting that some species play a keystone role in winter foraging flocks. More generally, these analyses demonstrate that this method provides a powerful approach, using social networks to quantify the relative transmission rates across different social relationships.

  2. Robustness and information propagation in attractors of Random Boolean Networks.

    Science.gov (United States)

    Lloyd-Price, Jason; Gupta, Abhishekh; Ribeiro, Andre S

    2012-01-01

    Attractors represent the long-term behaviors of Random Boolean Networks. We study how the amount of information propagated between the nodes when on an attractor, as quantified by the average pairwise mutual information (I(A)), relates to the robustness of the attractor to perturbations (R(A)). We find that the dynamical regime of the network affects the relationship between I(A) and R(A). In the ordered and chaotic regimes, I(A) is anti-correlated with R(A), implying that attractors that are highly robust to perturbations have necessarily limited information propagation. Between order and chaos (for so-called "critical" networks) these quantities are uncorrelated. Finite size effects cause this behavior to be visible for a range of networks, from having a sensitivity of 1 to the point where I(A) is maximized. In this region, the two quantities are weakly correlated and attractors can be almost arbitrarily robust to perturbations without restricting the propagation of information in the network.

  3. MIDER: network inference with mutual information distance and entropy reduction.

    Directory of Open Access Journals (Sweden)

    Alejandro F Villaverde

    Full Text Available The prediction of links among variables from a given dataset is a task referred to as network inference or reverse engineering. It is an open problem in bioinformatics and systems biology, as well as in other areas of science. Information theory, which uses concepts such as mutual information, provides a rigorous framework for addressing it. While a number of information-theoretic methods are already available, most of them focus on a particular type of problem, introducing assumptions that limit their generality. Furthermore, many of these methods lack a publicly available implementation. Here we present MIDER, a method for inferring network structures with information theoretic concepts. It consists of two steps: first, it provides a representation of the network in which the distance among nodes indicates their statistical closeness. Second, it refines the prediction of the existing links to distinguish between direct and indirect interactions and to assign directionality. The method accepts as input time-series data related to some quantitative features of the network nodes (such as e.g. concentrations, if the nodes are chemical species. It takes into account time delays between variables, and allows choosing among several definitions and normalizations of mutual information. It is general purpose: it may be applied to any type of network, cellular or otherwise. A Matlab implementation including source code and data is freely available (http://www.iim.csic.es/~gingproc/mider.html. The performance of MIDER has been evaluated on seven different benchmark problems that cover the main types of cellular networks, including metabolic, gene regulatory, and signaling. Comparisons with state of the art information-theoretic methods have demonstrated the competitive performance of MIDER, as well as its versatility. Its use does not demand any a priori knowledge from the user; the default settings and the adaptive nature of the method provide good

  4. MIDER: network inference with mutual information distance and entropy reduction.

    Science.gov (United States)

    Villaverde, Alejandro F; Ross, John; Morán, Federico; Banga, Julio R

    2014-01-01

    The prediction of links among variables from a given dataset is a task referred to as network inference or reverse engineering. It is an open problem in bioinformatics and systems biology, as well as in other areas of science. Information theory, which uses concepts such as mutual information, provides a rigorous framework for addressing it. While a number of information-theoretic methods are already available, most of them focus on a particular type of problem, introducing assumptions that limit their generality. Furthermore, many of these methods lack a publicly available implementation. Here we present MIDER, a method for inferring network structures with information theoretic concepts. It consists of two steps: first, it provides a representation of the network in which the distance among nodes indicates their statistical closeness. Second, it refines the prediction of the existing links to distinguish between direct and indirect interactions and to assign directionality. The method accepts as input time-series data related to some quantitative features of the network nodes (such as e.g. concentrations, if the nodes are chemical species). It takes into account time delays between variables, and allows choosing among several definitions and normalizations of mutual information. It is general purpose: it may be applied to any type of network, cellular or otherwise. A Matlab implementation including source code and data is freely available (http://www.iim.csic.es/~gingproc/mider.html). The performance of MIDER has been evaluated on seven different benchmark problems that cover the main types of cellular networks, including metabolic, gene regulatory, and signaling. Comparisons with state of the art information-theoretic methods have demonstrated the competitive performance of MIDER, as well as its versatility. Its use does not demand any a priori knowledge from the user; the default settings and the adaptive nature of the method provide good results for a wide

  5. A Business Intelligence Framework for Sustainability Information Management in Higher Education

    Science.gov (United States)

    Scholtz, Brenda; Calitz, Andre; Haupt, Ross

    2018-01-01

    Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

  6. Food and sustainability: Do consumers recognize, understand and value on-package information on production standards?

    NARCIS (Netherlands)

    Hoogland, C.; de Boer, J.; Boersema, J.J.

    2007-01-01

    We tested how consumers recognize, understand and value on-package information about food production methods that may contribute to a more sustainable agriculture. Nine copy tests were formed, each containing one out of three products and one out of three panels of information. The products were (1)

  7. Regional Sustainable Development Analysis Based on Information Entropy-Sichuan Province as an Example.

    Science.gov (United States)

    Liang, Xuedong; Si, Dongyang; Zhang, Xinli

    2017-10-13

    According to the implementation of a scientific development perspective, sustainable development needs to consider regional development, economic and social development, and the harmonious development of society and nature, but regional sustainable development is often difficult to quantify. Through an analysis of the structure and functions of a regional system, this paper establishes an evaluation index system, which includes an economic subsystem, an ecological environmental subsystem and a social subsystem, to study regional sustainable development capacity. A sustainable development capacity measure model for Sichuan Province was established by applying the information entropy calculation principle and the Brusselator principle. Each subsystem and entropy change in a calendar year in Sichuan Province were analyzed to evaluate Sichuan Province's sustainable development capacity. It was found that the established model could effectively show actual changes in sustainable development levels through the entropy change reaction system, at the same time this model could clearly demonstrate how those forty-six indicators from the three subsystems impact on the regional sustainable development, which could make up for the lack of sustainable development research.

  8. Regional Sustainable Development Analysis Based on Information Entropy—Sichuan Province as an Example

    Science.gov (United States)

    Liang, Xuedong; Si, Dongyang; Zhang, Xinli

    2017-01-01

    According to the implementation of a scientific development perspective, sustainable development needs to consider regional development, economic and social development, and the harmonious development of society and nature, but regional sustainable development is often difficult to quantify. Through an analysis of the structure and functions of a regional system, this paper establishes an evaluation index system, which includes an economic subsystem, an ecological environmental subsystem and a social subsystem, to study regional sustainable development capacity. A sustainable development capacity measure model for Sichuan Province was established by applying the information entropy calculation principle and the Brusselator principle. Each subsystem and entropy change in a calendar year in Sichuan Province were analyzed to evaluate Sichuan Province’s sustainable development capacity. It was found that the established model could effectively show actual changes in sustainable development levels through the entropy change reaction system, at the same time this model could clearly demonstrate how those forty-six indicators from the three subsystems impact on the regional sustainable development, which could make up for the lack of sustainable development research. PMID:29027982

  9. Shifts in the architecture of the Nationwide Health Information Network.

    Science.gov (United States)

    Lenert, Leslie; Sundwall, David; Lenert, Michael Edward

    2012-01-01

    In the midst of a US $30 billion USD investment in the Nationwide Health Information Network (NwHIN) and electronic health records systems, a significant change in the architecture of the NwHIN is taking place. Prior to 2010, the focus of information exchange in the NwHIN was the Regional Health Information Organization (RHIO). Since 2010, the Office of the National Coordinator (ONC) has been sponsoring policies that promote an internet-like architecture that encourages point to-point information exchange and private health information exchange networks. The net effect of these activities is to undercut the limited business model for RHIOs, decreasing the likelihood of their success, while making the NwHIN dependent on nascent technologies for community level functions such as record locator services. These changes may impact the health of patients and communities. Independent, scientifically focused debate is needed on the wisdom of ONC's proposed changes in its strategy for the NwHIN.

  10. Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

    DEFF Research Database (Denmark)

    Heide, Janus; Zhang, Qi; Pedersen, Morten V.

    This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver. The starting point...... is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds...... to the overall energy consumption, which is particular problematic for mobile battery-driven devices. In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly...

  11. Sustainability of health information systems: a three-country qualitative study in southern Africa.

    Science.gov (United States)

    Moucheraud, Corrina; Schwitters, Amee; Boudreaux, Chantelle; Giles, Denise; Kilmarx, Peter H; Ntolo, Ntolo; Bangani, Zwashe; St Louis, Michael E; Bossert, Thomas J

    2017-01-10

    Health information systems are central to strong health systems. They assist with patient and program management, quality improvement, disease surveillance, and strategic use of information. Many donors have worked to improve health information systems, particularly by supporting the introduction of electronic health information systems (EHIS), which are considered more responsive and more efficient than older, paper-based systems. As many donor-driven programs are increasing their focus on country ownership, sustainability of these investments is a key concern. This analysis explores the potential sustainability of EHIS investments in Malawi, Zambia and Zimbabwe, originally supported by the United States President's Emergency Plan for AIDS Relief (PEPFAR). Using a framework based on sustainability theories from the health systems literature, this analysis employs a qualitative case study methodology to highlight factors that may increase the likelihood that donor-supported initiatives will continue after the original support is modified or ends. Findings highlight commonalities around possible determinants of sustainability. The study found that there is great optimism about the potential for EHIS, but the perceived risks may result in hesitancy to transition completely and parallel use of paper-based systems. Full stakeholder engagement is likely to be crucial for sustainability, as well as integration with other activities within the health system and those funded by development partners. The literature suggests that a sustainable system has clearly-defined goals around which stakeholders can rally, but this has not been achieved in the systems studied. The study also found that technical resource constraints - affecting system usage, maintenance, upgrades and repairs - may limit EHIS sustainability even if these other pillars were addressed. The sustainability of EHIS faces many challenges, which could be addressed through systems' technical design, stakeholder

  12. Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches

    OpenAIRE

    Shoubi, Mojtaba Valinejad; Shoubi, Masoud Valinejad; Bagchi, Ashutosh; Barough, Azin Shakiba

    2015-01-01

    A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM) has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy con...

  13. Exploring knowledge transfer within manufacturing networks and codified information characteristics: the hidden dangers of inaccurate information

    NARCIS (Netherlands)

    Steenhuis, H.J.; de Bruijn, E.J.

    2004-01-01

    Technology transfer is an important aspect of, and takes frequently place in, international manufacturing networks. A key component of a specific technology is the knowledge and information that accompanies it. This study explores the difficulties with transferring technological knowledge and

  14. Emergent leadership structures in informal groups: A dynamic, cognitively informed network model

    OpenAIRE

    Carnabuci, Gianluca; Emery, Cecile; Brinberg, David

    2017-01-01

    This paper advances novel theory and evidence on the emergence of informal leadership networks in groups that feature no formally designated leaders or authority hierarchies. Integrating insights from relational schema and network theory, we develop and empirically test a 3-step process model. The model’s first hypothesis is that people use a “linear-ordering schema” to process information about leadership relations. Taking this hypothesis as a premise, the second hypothesis argues that whene...

  15. Social Network: an online newspaper as a source of specialized information on tourism

    Directory of Open Access Journals (Sweden)

    Antônio Claret Guerra

    2014-11-01

    Full Text Available This paper aims providing information for an objective assessment of the importance of social networks based on the internet as a source of information on tourism. The study was sustained with qualitative researches from the the Brazilian National Newspaper Association (ANJ, audits of the Circulation Verification Institute (IVC, interviews with journalists and an expert in digital media, and enquiries at “O Tempo” website . The chosen method was qualitative and exploratory, using a case study approach. The data collection comprehended documentary research and targeted interviews. Among the results, in the researched company it was identified the use of social networks by esteemed public of 8.8 million to 10.7 million people in the year of 2011. Also, the study recognized the exponential expansion of possibilities for direct contact with diverse audiences in the social networks environments, inducing the approximation and loyalty of the reader and the journalist. Also, social networks facilitate access to information, which enables the development of specific communication vehicles to these new media.

  16. Sustainable forest management in Latium (Italy: implementation of sector rules based on Nature 2000 Network indications

    Directory of Open Access Journals (Sweden)

    Gaglioppa P

    2011-02-01

    Full Text Available The 2002 World Summit in Johannesburg has declared the year 2010 as “Year of Biodiversity”, though erosion of biodiversity around the world is still ongoing. Some actions were initiated by national Governments and the European Union, like Nature 2000 Network and Sustainable Forest Management. Pursuing the above EU targets, the administration of the Latium region (central Italy has issued several acts with the aim of creating a system of protected areas where the main focus for silvicultural activities is on biodiversity conservation and the preservation of multi-functionality of forests. Priority of forest planning activities and financing has been given to main habitats and species, sensu 92/43/CEE and 79/409/CEE European Directives. The Nature 2000 Network and the regional offices of Forestry and Protected Areas worked together to increase the forest managed areas, to apply the SFM (Sustainable Forest Management practices and to promote local community development. The Forest Conservation Area, with the help of EU Funds, is financing a Forest Management Plan in Nature 2000 sites and protected areas. The offices for Protected Areas and Nature 2000 Network are working to simplify the administrative procedures for logging in special Protected areas and in forest habitats with no specific conservation priority.

  17. Information spreading in complex networks with participation of independent spreaders

    Science.gov (United States)

    Ma, Kun; Li, Weihua; Guo, Quantong; Zheng, Xiaoqi; Zheng, Zhiming; Gao, Chao; Tang, Shaoting

    2018-02-01

    Information diffusion dynamics in complex networks is often modeled as a contagion process among neighbors which is analogous to epidemic diffusion. The attention of previous literature is mainly focused on epidemic diffusion within one network, which, however neglects the possible interactions between nodes beyond the underlying network. The disease can be transmitted to other nodes by other means without following the links in the focal network. Here we account for this phenomenon by introducing the independent spreaders in a susceptible-infectious-recovered contagion process. We derive the critical epidemic thresholds on Erdős-Rényi and scale-free networks as a function of infectious rate, recovery rate and the activeness of independent spreaders. We also present simulation results on ER and SF networks, as well as on a real-world email network. The result shows that the extent to which a disease can infect might be more far-reaching, than we can explain in terms of link contagion only. Besides, these results also help to explain how activeness of independent spreaders can affect the diffusion process, which can be used to explore many other dynamical processes.

  18. Analyzing complex networks evolution through Information Theory quantifiers

    Energy Technology Data Exchange (ETDEWEB)

    Carpi, Laura C., E-mail: Laura.Carpi@studentmail.newcastle.edu.a [Civil, Surveying and Environmental Engineering, University of Newcastle, University Drive, Callaghan NSW 2308 (Australia); Departamento de Fisica, Instituto de Ciencias Exatas, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte (31270-901), MG (Brazil); Rosso, Osvaldo A., E-mail: rosso@fisica.ufmg.b [Departamento de Fisica, Instituto de Ciencias Exatas, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte (31270-901), MG (Brazil); Chaos and Biology Group, Instituto de Calculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellon II, Ciudad Universitaria, 1428 Ciudad de Buenos Aires (Argentina); Saco, Patricia M., E-mail: Patricia.Saco@newcastle.edu.a [Civil, Surveying and Environmental Engineering, University of Newcastle, University Drive, Callaghan NSW 2308 (Australia); Departamento de Hidraulica, Facultad de Ciencias Exactas, Ingenieria y Agrimensura, Universidad Nacional de Rosario, Avenida Pellegrini 250, Rosario (Argentina); Ravetti, Martin Gomez, E-mail: martin.ravetti@dep.ufmg.b [Departamento de Engenharia de Producao, Universidade Federal de Minas Gerais, Av. Antonio Carlos, 6627, Belo Horizonte (31270-901), MG (Brazil)

    2011-01-24

    A methodology to analyze dynamical changes in complex networks based on Information Theory quantifiers is proposed. The square root of the Jensen-Shannon divergence, a measure of dissimilarity between two probability distributions, and the MPR Statistical Complexity are used to quantify states in the network evolution process. Three cases are analyzed, the Watts-Strogatz model, a gene network during the progression of Alzheimer's disease and a climate network for the Tropical Pacific region to study the El Nino/Southern Oscillation (ENSO) dynamic. We find that the proposed quantifiers are able not only to capture changes in the dynamics of the processes but also to quantify and compare states in their evolution.

  19. Information processing and routing in wireless sensor networks

    CERN Document Server

    Yu, Yang; Krishnamachari, Bhaskar

    2006-01-01

    This book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless sensor networks. Besides providing a survey on this important research area, three specific topics are discussed in detail - information processing in a collocated cluster, information transport over a tree substrate, and information routing for computationally intensive applications. The book covers several important system knobs for cross-layer optimization, including voltage scaling, rate adaptation, and tunable compression. By exploring tradeoffs of en

  20. Strategies on the Implementation of China's Logistics Information Network

    Science.gov (United States)

    Dong, Yahui; Li, Wei; Guo, Xuwen

    The economic globalization and trend of e-commerce network have determined that the logistics industry will be rapidly developed in the 21st century. In order to achieve the optimal allocation of resources, a worldwide rapid and sound customer service system should be established. The establishment of a corresponding modern logistics system is the inevitable choice of this requirement. It is also the inevitable choice for the development of modern logistics industry in China. The perfect combination of modern logistics and information network can better promote the development of the logistics industry. Through the analysis of Status of Logistics Industry in China, this paper summed up the domestic logistics enterprise logistics information system in the building of some common problems. According to logistics information systems planning methods and principles set out logistics information system to optimize the management model.

  1. Information Spread of Emergency Events: Path Searching on Social Networks

    Science.gov (United States)

    Hu, Hongzhi; Wu, Tunan

    2014-01-01

    Emergency has attracted global attentions of government and the public, and it will easily trigger a series of serious social problems if it is not supervised effectively in the dissemination process. In the Internet world, people communicate with each other and form various virtual communities based on social networks, which lead to a complex and fast information spread pattern of emergency events. This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. Application cases have shown that this algorithm can search the shortest spread paths efficiently, which may help us to guide and control the information dissemination of emergency events on early warning. PMID:24600323

  2. Information spread of emergency events: path searching on social networks.

    Science.gov (United States)

    Dai, Weihui; Hu, Hongzhi; Wu, Tunan; Dai, Yonghui

    2014-01-01

    Emergency has attracted global attentions of government and the public, and it will easily trigger a series of serious social problems if it is not supervised effectively in the dissemination process. In the Internet world, people communicate with each other and form various virtual communities based on social networks, which lead to a complex and fast information spread pattern of emergency events. This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. Application cases have shown that this algorithm can search the shortest spread paths efficiently, which may help us to guide and control the information dissemination of emergency events on early warning.

  3. Digital Denmark: From Information Society to Network Society

    DEFF Research Database (Denmark)

    Henten, Anders; Falch, Morten

    2000-01-01

    for a welfare society. However, globalisation and the spreading use of new information and communication technologies and services challenge this position. This article examines Denmark's performance in implementing its IS 2000 plans, the background to the Digital Denmark report, and its implications......The Danish Government recently issued a new policy report, Digital Denmark, on the "conversion to a network society", as a successor to its Information Society 2000 report (1994). This is part of a new round of information society policy vision statements that are, or will be forthcoming from...... national governments everywhere. Denmark provides an interesting case study because it ranks high in the benchmark indicators of information network society developments. This position has been obtained largely by public sector initiatives and without erosion of the highly reputed Scandinavian model...

  4. A Methodology for a Sustainable CO2 Capture and Utilization Network

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Fjellerup, Kasper; Gani, Rafiqul

    2015-01-01

    are being investigated and implemented [1]. Carbon Capture and Storage (CCS) is the dominant method that is discussed. However, CO2 utilization is receiving increased attention for its ability to help in long-term CO2 reduction and the formation of various chemical products. One of the primary elements...... is the sustainable linkage of carbon capture to produce the CO2 feed and the subsequent conversion processes. A manipulation of an MEA absorption process, the current industrial standard for carbon capture [2], is investigated. The resulting CO2 stream can be directly fed into a variety of conversion processes...... hydrogenation highlights the application. This case study illustrates the utility of the utilization network and elements of the methodology being developed. In addition, the conversion process is linked with carbon capture to evaluate the overall sustainability. Finally, the production of the other raw...

  5. [Application of an artificial neural network in the design of sustained-release dosage forms].

    Science.gov (United States)

    Wei, X H; Wu, J J; Liang, W Q

    2001-09-01

    To use the artificial neural network (ANN) in Matlab 5.1 tool-boxes to predict the formulations of sustained-release tablets. The solubilities of nine drugs and various ratios of HPMC: Dextrin for 63 tablet formulations were used as the ANN model input, and in vitro accumulation released at 6 sampling times were used as output. The ANN model was constructed by selecting the optimal number of iterations (25) and model structure in which there are one hidden layer and five hidden layer nodes. The optimized ANN model was used for prediction of formulation based on desired target in vitro dissolution-time profiles. ANN predicted profiles based on ANN predicted formulations were closely similar to the target profiles. The ANN could be used for predicting the dissolution profiles of sustained release dosage form and for the design of optimal formulation.

  6. Self-Organized Information Processing in Neuronal Networks: Replacing Layers in Deep Networks by Dynamics

    Science.gov (United States)

    Kirst, Christoph

    It is astonishing how the sub-parts of a brain co-act to produce coherent behavior. What are mechanism that coordinate information processing and communication and how can those be changed flexibly in order to cope with variable contexts? Here we show that when information is encoded in the deviations around a collective dynamical reference state of a recurrent network the propagation of these fluctuations is strongly dependent on precisely this underlying reference. Information here 'surfs' on top of the collective dynamics and switching between states enables fast and flexible rerouting of information. This in turn affects local processing and consequently changes in the global reference dynamics that re-regulate the distribution of information. This provides a generic mechanism for self-organized information processing as we demonstrate with an oscillatory Hopfield network that performs contextual pattern recognition. Deep neural networks have proven to be very successful recently. Here we show that generating information channels via collective reference dynamics can effectively compress a deep multi-layer architecture into a single layer making this mechanism a promising candidate for the organization of information processing in biological neuronal networks.

  7. Topology for efficient information dissemination in ad-hoc networking

    Science.gov (United States)

    Jennings, E.; Okino, C. M.

    2002-01-01

    In this paper, we explore the information dissemination problem in ad-hoc wirless networks. First, we analyze the probability of successful broadcast, assuming: the nodes are uniformly distributed, the available area has a lower bould relative to the total number of nodes, and there is zero knowledge of the overall topology of the network. By showing that the probability of such events is small, we are motivated to extract good graph topologies to minimize the overall transmissions. Three algorithms are used to generate topologies of the network with guaranteed connectivity. These are the minimum radius graph, the relative neighborhood graph and the minimum spanning tree. Our simulation shows that the relative neighborhood graph has certain good graph properties, which makes it suitable for efficient information dissemination.

  8. Specificity, promiscuity, and the structure of complex information processing networks

    Science.gov (United States)

    Myers, Christopher

    2006-03-01

    Both the top-down designs of engineered systems and the bottom-up serendipities of biological evolution must negotiate tradeoffs between specificity and control: overly specific interactions between components can make systems brittle and unevolvable, while more generic interactions can require elaborate control in order to aggregate specificity from distributed pieces. Complex information processing systems reveal network organizations that navigate this landscape of constraints: regulatory and signaling networks in cells involve the coordination of molecular interactions that are surprisingly promiscuous, and object-oriented design in software systems emphasizes the polymorphic composition of objects of minimal necessary specificity [C.R. Myers, Phys Rev E 68, 046116 (2003)]. Models of information processing arising both in systems biology and engineered computation are explored to better understand how particular network organizations can coordinate the activity of promiscuous components to achieve robust and evolvable function.

  9. Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability

    Directory of Open Access Journals (Sweden)

    Jinsung Byun

    2018-01-01

    Full Text Available Recent advances in networking and communications removed the restrictions of time and space in information services. Context-aware service systems can support the predefined services in accordance with user requests regardless of time and space. However, due to their architectural limitations, the recent systems are not so flexible to provide device-independent services by multiple service providers. Recently, researchers have focused on a new service paradigm characterized by high mobility, service continuity, and green characteristics. In line with these efforts, improved context-aware service platforms have been suggested to make the platform possible to manage the contexts to provide the adaptive services for multi-user and locations. However, this platform can only support limited continuity and mobility. In other words, the existing system cannot support seamless service provision among different service providers with respect to the changes of mobility, situation, device, and network. Furthermore, the existing context-aware service platform is significant reliance on always-on infrastructure, which leads to great amounts of energy consumption inevitably. Therefore, we subsequently propose a new concept of context-aware networking and communications, namely a zone-aware service platform. The proposed platform autonomously reconfigures the infrastructure and maintains a service session interacting with the middleware to support cost- and energy-efficient pervasive services for smart-home sustainability.

  10. Application of geographic information system in distribution power network automation

    Science.gov (United States)

    Wei, Xianmin

    2011-02-01

    Geographic information system (GIS) is the computer system in support of computer software with collection, storage, management, retrieval and comprehensive analysis of a variety of geospatial information, with various forms output data and graphics products. This paper introduced GIS data organization and its main applications in distribution power network automation, including both offline and online, and proposed component-based system development model and the need to establish WEBGIS and reliability.

  11. Deep Neural Networks for Web Page Information Extraction

    OpenAIRE

    Gogar, Tomas; Hubacek, Ondrej; Sedivy, Jan

    2016-01-01

    Part 3: Ontology-Web and Social Media AI Modeling (OWESOM); International audience; Web wrappers are systems for extracting structured information from web pages. Currently, wrappers need to be adapted to a particular website template before they can start the extraction process. In this work we present a new method, which uses convolutional neural networks to learn a wrapper that can extract information from previously unseen templates. Therefore, this wrapper does not need any site-specific...

  12. Network Inference and Maximum Entropy Estimation on Information Diagrams

    Czech Academy of Sciences Publication Activity Database

    Martin, E.A.; Hlinka, Jaroslav; Meinke, A.; Děchtěrenko, Filip; Tintěra, J.; Oliver, I.; Davidsen, J.

    2017-01-01

    Roč. 7, č. 1 (2017), č. článku 7062. ISSN 2045-2322 R&D Projects: GA ČR GA13-23940S; GA MZd(CZ) NV15-29835A Grant - others:GA MŠk(CZ) LO1611 Institutional support: RVO:67985807 Keywords : complex networks * mutual information * entropy maximization * fMRI Subject RIV: BD - Theory of Information Impact factor: 4.259, year: 2016

  13. Managers look to the social network to seek information

    OpenAIRE

    Mckenzie M.L.

    2005-01-01

    Introduction. The purpose of this study was to explore how managers selected individuals to serve as information sources. The social context of a for-profit business environment offered opportunity to study information seeking among interacting line managers. Method. The qualitative methods of social network mapping and interview were used to capture the data. The study was conducted within a stand-alone business unit of a major US-based corporation. A total of 22 line-managers participated...

  14. Running a network on a shoestring: the Global Invasive Species Information Network

    Science.gov (United States)

    Jarnevich, Catherine S.; Simpson, Annie; Graham, James J; Newman, Gregory J.; Bargeron, Chuck T.

    2015-01-01

    The Global Invasive Species Information Network (GISIN) was conceptualized in 2004 to aggregate and disseminate invasive species data in a standardized way. A decade later the GISIN community has implemented a data portal and three of six GISIN data aggregation models in the GISIN data exchange Protocol, including invasive species status information, resource URLs, and occurrence data. The portal is based on a protocol developed by representatives from 15 countries and 27 organizations of the global invasive species information management community. The GISIN has 19 data providers sharing 34,343 species status records, 1,693,073 occurrences, and 15,601 resource URLs. While the GISIN's goal is to be global, much of its data and funding are provided by the United States. Several initiatives use the GISIN as their information backbone, such as the Great Lakes Early Detection Network (GLEDN) and the North American Invasive Species Network (NAISN). Here we share several success stories and organizational challenges that remain.

  15. Energetic Constraints Produce Self-sustained Oscillatory Dynamics in Neuronal Networks.

    Science.gov (United States)

    Burroni, Javier; Taylor, P; Corey, Cassian; Vachnadze, Tengiz; Siegelmann, Hava T

    2017-01-01

    Overview: We model energy constraints in a network of spiking neurons, while exploring general questions of resource limitation on network function abstractly. Background: Metabolic states like dietary ketosis or hypoglycemia have a large impact on brain function and disease outcomes. Glia provide metabolic support for neurons, among other functions. Yet, in computational models of glia-neuron cooperation, there have been no previous attempts to explore the effects of direct realistic energy costs on network activity in spiking neurons. Currently, biologically realistic spiking neural networks assume that membrane potential is the main driving factor for neural spiking, and do not take into consideration energetic costs. Methods: We define local energy pools to constrain a neuron model, termed Spiking Neuron Energy Pool (SNEP), which explicitly incorporates energy limitations. Each neuron requires energy to spike, and resources in the pool regenerate over time. Our simulation displays an easy-to-use GUI, which can be run locally in a web browser, and is freely available. Results: Energy dependence drastically changes behavior of these neural networks, causing emergent oscillations similar to those in networks of biological neurons. We analyze the system via Lotka-Volterra equations, producing several observations: (1) energy can drive self-sustained oscillations, (2) the energetic cost of spiking modulates the degree and type of oscillations, (3) harmonics emerge with frequencies determined by energy parameters, and (4) varying energetic costs have non-linear effects on energy consumption and firing rates. Conclusions: Models of neuron function which attempt biological realism may benefit from including energy constraints. Further, we assert that observed oscillatory effects of energy limitations exist in networks of many kinds, and that these findings generalize to abstract graphs and technological applications.

  16. Social Networks as Information Source for the Purchase Decision Process

    Directory of Open Access Journals (Sweden)

    Camila Leoni Nascimento

    2014-12-01

    Full Text Available The social networks have caused changes in the consumption habits and in the ways of relationship among companies and consumers, emerging a more demanding and informed consumer. In this paper it is aimed to assess the social networks as a source of information for the purchase of goods or services. In the study it was applied a research of exploratory nature through the survey method, conducted through personal interviews using a questionnaire with closed-ended questions. The sample of non-probabilistic type was comprised of 200 individuals from a higher education institution of São Paulo State hinterland. The survey data were analyzed descriptively. Overall, the results showed the use of social networks as a source of information search, in which the main motive is the practicality. The results corroborate the studies of Kotler and Keller (2006 when they state that the consumer seeks information on social networks to help him in the purchase, as Edelman and Hirshberg (2006 when approaching the user confidence in their friends’ opinion. For future works it is recommended to check what strategies and in what ways the companies could work in order to provide more detailed data to Internet users, aiming to support them in the decision

  17. wither scientific and technological information network in tanzania

    African Journals Online (AJOL)

    This article sets out to make an analysis of Tanzania's efforts at establishing a network for scientific and technological information. The paper discusses the Tanzania National System for Science and Technology (TANISSAT) under the Tanzania Commission for Science and Technology (COSTECH). TANISSAT which began ...

  18. Factors enabling information propagation in a Social Network Site

    DEFF Research Database (Denmark)

    Magnani, Matteo; Montesi, Danilo; Rossi, Luca

    2013-01-01

    , and because of the very large amount of people that can potentially be exposed to information items. While many general formal models of network propagation have been developed in different research fields, in this chapter we present the result of an empirical study on a Large Social Database (LSD) aimed...

  19. Rwanda Health and Education Information Network (OASIS-RHEIN ...

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

    Rwanda Health and Education Information Network (OASIS-RHEIN). Partners in Health (PIH), ... The second component will build the capacity of nursing staff to provide better care at the front line by means of an electronic learning platform integrated into the health system infrastructure. Nurses will be upgraded through a ...

  20. Information and Networks in Asia and Sub-Saharan Africa ...

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

    This project seeks to provide capacity-building support to develop and implement the Information and Networks in Asia and Sub-Saharan Africa (INASSA) research program. INASSA is focused on producing credible, high-quality evidence on the influence of digital initiatives in the areas of governance, science, learning, ...

  1. Maximizing Information Diffusion in the Cyber-physical Integrated Network

    Directory of Open Access Journals (Sweden)

    Hongliang Lu

    2015-11-01

    Full Text Available Nowadays, our living environment has been embedded with smart objects, such as smart sensors, smart watches and smart phones. They make cyberspace and physical space integrated by their abundant abilities of sensing, communication and computation, forming a cyber-physical integrated network. In order to maximize information diffusion in such a network, a group of objects are selected as the forwarding points. To optimize the selection, a minimum connected dominating set (CDS strategy is adopted. However, existing approaches focus on minimizing the size of the CDS, neglecting an important factor: the weight of links. In this paper, we propose a distributed maximizing the probability of information diffusion (DMPID algorithm in the cyber-physical integrated network. Unlike previous approaches that only consider the size of CDS selection, DMPID also considers the information spread probability that depends on the weight of links. To weaken the effects of excessively-weighted links, we also present an optimization strategy that can properly balance the two factors. The results of extensive simulation show that DMPID can nearly double the information diffusion probability, while keeping a reasonable size of selection with low overhead in different distributed networks.

  2. Promoting information diffusion through interlayer recovery processes in multiplex networks

    Science.gov (United States)

    Wang, Xin; Li, Weihua; Liu, Longzhao; Pei, Sen; Tang, Shaoting; Zheng, Zhiming

    2017-09-01

    For information diffusion in multiplex networks, the effect of interlayer contagion on spreading dynamics has been explored in different settings. Nevertheless, the impact of interlayer recovery processes, i.e., the transition of nodes to stiflers in all layers after they become stiflers in any layer, still remains unclear. In this paper, we propose a modified ignorant-spreader-stifler model of rumor spreading equipped with an interlayer recovery mechanism. We find that the information diffusion can be effectively promoted for a range of interlayer recovery rates. By combining the mean-field approximation and the Markov chain approach, we derive the evolution equations of the diffusion process in two-layer homogeneous multiplex networks. The optimal interlayer recovery rate that achieves the maximal enhancement can be calculated by solving the equations numerically. In addition, we find that the promoting effect on a certain layer can be strengthened if information spreads more extensively within the counterpart layer. When applying the model to two-layer scale-free multiplex networks, with or without degree correlation, similar promoting effect is also observed in simulations. Our work indicates that the interlayer recovery process is beneficial to information diffusion in multiplex networks, which may have implications for designing efficient spreading strategies.

  3. Network Inference and Maximum Entropy Estimation on Information Diagrams

    Czech Academy of Sciences Publication Activity Database

    Martin, E.A.; Hlinka, J.; Meinke, A.; Děchtěrenko, Filip; Tintěra, J.; Oliver, I.; Davidsen, J.

    2017-01-01

    Roč. 7, č. 1 (2017), s. 1-15, č. článku 7062. ISSN 2045-2322 R&D Projects: GA ČR GA13-23940S Institutional support: RVO:68081740 Keywords : complex networks * mutual information * entropy maximization * fMRI Subject RIV: AN - Psychology Impact factor: 4.259, year: 2016

  4. Determinants of Informal Coordination in Networked Supply Chains

    NARCIS (Netherlands)

    Ogulin, R.; Selen, W.; Ashayeri, J.

    2010-01-01

    Purpose – Provide insight into the determinants or constructs that enable informally networked supply chains to operate in order to achieve improved operational performance. Design/methodology/approach – The research is based on a wide literature review, focused on the identification of dimensions

  5. INFORMATION SYSTEM OF AIRPORT NETWORK DEVELOPMENT MONITORING FORMATION

    Directory of Open Access Journals (Sweden)

    Oleg Smirnov

    2015-07-01

    Full Text Available The article analyzes the approaches to the development of information system in public administration of this important branch of transport civil aviation. In particular, it is shown that the application of algorithmic elements allows to increase the objectivity and transparency when making decisions regarding the regulation of development of the airport network.

  6. Evidence Informed Policy Network (EVIPNet) for Better Health ...

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

    Evidence Informed Policy Network (EVIPNet) for Better Health Policymaking in sub-Saharan Africa. Research results have no value unless they are made available for due consideration by practitioners and policymakers. Scientific articles are not enough. There is need to package research results for a wider audience and ...

  7. Experts’ Analysis of the Quality and Usability of SILVANET Software for Informing Sustainable Forest Management

    Directory of Open Access Journals (Sweden)

    Jose Eugenio Martínez-Falero

    2017-07-01

    Full Text Available It is important today to take account of the opinions of both experts and stakeholders in the sustainable management of forests. SILVANET (Universidad Politécnica de Madrid, Madrid, Spain is a software package that offers a useful methodology for assessing the preferences of individuals or groups, and applying them to the design of a sustainable forest management plan. The program starts by identifying the personal preferences of the evaluators based on information provided individually when comparing and selecting sustainability options from a series of site pairs. The evaluator is given information on certain sustainability indicators obtained in the area to be assessed. The scope of the evaluator’s knowledge of sustainable forest management and the consistency of his/her decisions is assessed, and he/she is then included in a group of people with similar systems of preferences to encourage interaction between evaluators in the same group. The preferences are characterized by matrices that encode individual assessments, the maximization of their utility and the analysis of past decisions. Finally, by identifying preferences, we are able to design the forest management system that maximizes the concept of sustainability for each individual or group of individuals. In this paper, we present the results of its application to mono-specific conifer forest stands, although it can be adapted to other forest types. The forestry management experts classify its usability as good, although non-expert users give it a lower rating.

  8. Network analysis as a tool for assessing environmental sustainability: applying the ecosystem perspective to a Danish water management system

    DEFF Research Database (Denmark)

    Pizzol, Massimo; Scotti, Marco; Thomsen, Marianne

    2013-01-01

    patterns of growth and development. We applied Network Analysis (NA) for assessing the sustainability of a Danish municipal Water Management System (WMS). We identified water users within the WMS and represented their interactions as a network of water flows. We computed intensive and extensive indices......New insights into the sustainable use of natural resources in human systems can be gained through comparison with ecosystems via common indices. In both kinds of system, resources are processed by a number of users within a network, but we consider ecosystems as the only ones displaying sustainable......: it is highly efficient at processing the water resource, but the rigid and almost linear structure makes it vulnerable in situations of stress such as heavy rain events. The analysis of future scenarios showed a trend towards increased sustainability, but differences between past and expected future...

  9. ENEA e-Learn Platform for Development and Sustainability with International Renewable Energies Network

    Directory of Open Access Journals (Sweden)

    Anna Moreno

    2007-03-01

    Full Text Available The UNESCO office in Venice (the Regional Bureau for Science and Culture in Europe has promoted, in collaboration with the Italian Agency for New Technologies, Energy, and the Environment (ENEA, an e-learning project on renewable energy: the DESIRE-net project (Development and Sustainability with International Renewable Energies network. The project's aim is to share the best available knowledge on renewable energies among all the countries that have joined the project and exploit this knowledge at every level. Currently the project involves 30 Eastern European and Southern Mediterranean countries as well as Australia, Indonesia, and China.

  10. A catalyst for system change: a case study of child health network formation, evolution and sustainability in Canada.

    Science.gov (United States)

    McPherson, Charmaine; Ploeg, Jenny; Edwards, Nancy; Ciliska, Donna; Sword, Wendy

    2017-02-01

    The purpose of this study was to examine key processes and supportive and inhibiting factors involved in the development, evolution, and sustainability of a child health network in rural Canada. This study contributes to a relatively new research agenda aimed at understanding inter-organizational and cross-sectoral health networks. These networks encourage collaboration focusing on complex issues impacting health - issues that individual agencies cannot effectively address alone. This paper presents an overview of the study findings. An explanatory qualitative case study approach examined the Network's 13-year lifespan. Data sources were documents and Network members, including regional and 71 provincial senior managers from 11 child and youth service sectors. Data were collected through 34 individual interviews and a review of 127 documents. Interview data were analyzed using framework analysis methods; Prior's approach guided document analysis. Three themes related to network development, evolution and sustainability were identified: (a) Network relationships as system triggers, (b) Network-mediated system responsiveness, and (c) Network practice as political. Study findings have important implications for network organizational development, collaborative practice, interprofessional education, public policy, and public system responsiveness research. Findings suggest it is important to explicitly focus on relationships and multi-level socio-political contexts, such as supportive policy environments, in understanding health networks. The dynamic interplay among the Network members; central supportive and inhibiting factors; and micro-, meso-, and macro-organizational contexts was identified.

  11. Conceptual Framework for Developing a Diabetes Information Network

    Science.gov (United States)

    Riazi, Hossein; Langarizadeh, Mostafa; Larijani, Bagher; Shahmoradi, Leila

    2016-01-01

    Objective: To provide a conceptual framework for managing diabetic patient care, and creating an information network for clinical research. Background: A wide range of information technology (IT) based interventions such as distance learning, diabetes registries, personal or electronic health record systems, clinical information systems, and clinical decision support systems have so far been used in supporting diabetic care. Previous studies demonstrated that IT could improve diabetes care at its different aspects. There is however no comprehensive conceptual framework that defines how different IT applications can support diverse aspects of this care. Therefore, a conceptual framework that combines different IT solutions into a wide information network for improving care processes and for research purposes is widely lacking. In this study we describe the theoretical underpin of a big project aiming at building a wide diabetic information network namely DIANET. Research design and methods: A literature review and a survey of national programs and existing regulations for diabetes management was conducted in order to define different aspects of diabetic care that should be supported by IT solutions. Both qualitative and quantitative research methods were used in this study. In addition to the results of a previous systematic literature review, two brainstorming and three expert panel sessions were conducted to identify requirements of a comprehensive information technology solution. Based on these inputs, the requirements for creating a diabetes information network were identified and used to create a questionnaire based on 9-point Likert scale. The questionnaire was finalized after removing some items based on calculated content validity ratio and content validity index coefficients. Cronbach’s alpha reliability coefficient was also calculated (αTotal= 0.98, Psystems of healthcare facilities and creating a comprehensive diabetics data warehouse for research

  12. Estimating topological properties of weighted networks from limited information.

    Science.gov (United States)

    Cimini, Giulio; Squartini, Tiziano; Gabrielli, Andrea; Garlaschelli, Diego

    2015-10-01

    A problem typically encountered when studying complex systems is the limitedness of the information available on their topology, which hinders our understanding of their structure and of the dynamical processes taking place on them. A paramount example is provided by financial networks, whose data are privacy protected: Banks publicly disclose only their aggregate exposure towards other banks, keeping individual exposures towards each single bank secret. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here, we develop a reconstruction method, based on statistical mechanics concepts, that makes use of the empirical link density in a highly nontrivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems.

  13. Estimating topological properties of weighted networks from limited information

    Science.gov (United States)

    Gabrielli, Andrea; Cimini, Giulio; Garlaschelli, Diego; Squartini, Angelo

    A typical problem met when studying complex systems is the limited information available on their topology, which hinders our understanding of their structural and dynamical properties. A paramount example is provided by financial networks, whose data are privacy protected. Yet, the estimation of systemic risk strongly depends on the detailed structure of the interbank network. The resulting challenge is that of using aggregate information to statistically reconstruct a network and correctly predict its higher-order properties. Standard approaches either generate unrealistically dense networks, or fail to reproduce the observed topology by assigning homogeneous link weights. Here we develop a reconstruction method, based on statistical mechanics concepts, that exploits the empirical link density in a highly non-trivial way. Technically, our approach consists in the preliminary estimation of node degrees from empirical node strengths and link density, followed by a maximum-entropy inference based on a combination of empirical strengths and estimated degrees. Our method is successfully tested on the international trade network and the interbank money market, and represents a valuable tool for gaining insights on privacy-protected or partially accessible systems. Acknoweledgement to ``Growthcom'' ICT - EC project (Grant No: 611272) and ``Crisislab'' Italian Project.

  14. An Evolving Assessment Strategy: Sustaining Interactions with Users to Inform Planning and Decisionmaking

    Science.gov (United States)

    Moss, R. H.

    2016-12-01

    Research indicates that in addition to reports, decision makers need to access climate science through a range of products such as scenarios, observed data, maps, technical guidelines, and other materials. This presentation will describe an evolving strategy for leveraging climate research and assessments conducted by the US Global Change Research Program (USGCRP) to provide usable climate information to build society's capacity to manage climate variability and change. The approach is called "sustained assessment" and is intended to be more interactive and to empower individuals and organizations to participate more fully and in an ongoing basis to evaluate the implications of climate change using state of the art scientific information. The speaker will describe the necessary conditions for sustained assessment, including mechanisms to facilitate ongoing communication between users and the climate science community in co-design and implementation of assessment activities. It will also review some of the needed scientific foundations for sustained assessment. The speaker is chair of the recently established Federal Advisory Committee. He has been involved in previous US National Climate Assessments (NCAs), including as a lead author of a special advisory report on establishing a sustained US national assessment process. He will speak in his personal capacity and provide publicly-available information on the role of the new Advisory Committee and steps towards establishing a sustained assessment process.

  15. Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

    Science.gov (United States)

    Ibrahim, N.; Ujang, U.; Desa, G.; Ariffin, A.

    2015-10-01

    The challenges of how to ensure sustainable urban development are currently one of the important agenda among governments around the world. The stakeholders require the latest and high volume of geographic information for the decision making process to efficiently respond to challenges, improve service delivery to citizens, and plan a successful future of the city. However, it is time-consuming and costly to get the available information and some of the information is not up-to-date. Recently, GeoWeb 2.0 technological advances have increased the number of volunteers from non-professional citizen to contribute to the collection, sharing, and distribution of geographic information. The information known as Volunteered Geographic Information (VGI) has generated another approach of spatial data sources that can give up-to-date, huge volume of data, and available geographic information in a low cost for various applications. With this in mind, this paper presents a review of literature based on the potential use of Volunteered Geographic Information (VGI) in measuring sustainability of urban development. The review highlighted that social, economic, and environment as three pertinent pillars relating to the use of VGI for measurement sustainable urban development.

  16. Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

    Directory of Open Access Journals (Sweden)

    N. Ibrahim

    2015-10-01

    Full Text Available The challenges of how to ensure sustainable urban development are currently one of the important agenda among governments around the world. The stakeholders require the latest and high volume of geographic information for the decision making process to efficiently respond to challenges, improve service delivery to citizens, and plan a successful future of the city. However, it is time-consuming and costly to get the available information and some of the information is not up-to-date. Recently, GeoWeb 2.0 technological advances have increased the number of volunteers from non-professional citizen to contribute to the collection, sharing, and distribution of geographic information. The information known as Volunteered Geographic Information (VGI has generated another approach of spatial data sources that can give up-to-date, huge volume of data, and available geographic information in a low cost for various applications. With this in mind, this paper presents a review of literature based on the potential use of Volunteered Geographic Information (VGI in measuring sustainability of urban development. The review highlighted that social, economic, and environment as three pertinent pillars relating to the use of VGI for measurement sustainable urban development.

  17. Social Networks in the Information Horizons of Undergraduate Students

    Directory of Open Access Journals (Sweden)

    Tien-I Tsai

    2012-06-01

    Full Text Available The information horizon is a mental map where users position their information sources in different contexts and situations, and the social network is one of the critical concepts in information horizons. Previous research on undergraduate and graduate students’ information horizons has revealed that various human sources are used in academic or career-related contexts (Sonnenwald, Wildemuth. & Harmon, 2001; Tsai, 2010. While most literature shows that stronger tie sources are more likely to be used as a preferred or primary information source (Steffes & Burgee, 2009, Granovetter (1973 emphasizes the importance of “the strength of weak ties” in information diffusion. This study aims to examine undergraduates’ social networks in their coursework-related information horizons as well as to investigate how strong and weak ties are positioned in their information horizons. A pretest of a web survey with 18 responses and 3 brief follow-up interviews were conducted with an undergraduate class at a large state university. After the pretest, fifteen undergraduate students were recruited to participate in the study. Results showed that undergraduate students tend to rely more on their colleagues and teaching assistants than on professors when they have questions on coursework-related issues. While stronger ties may be more frequently consulted for moral support, the tie strength does not necessarily determine the frequency of consultation about other coursework-related issues.

  18. Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data

    Directory of Open Access Journals (Sweden)

    Hongchu Yu

    2017-10-01

    Full Text Available Marine economic cooperation has emerged as a major theme in this era of globalization; hence, maritime network connectivity and dynamics have attracted more and more attention. Port construction and maritime route improvements increase maritime trade and thus facilitate economic viability and resource sustainability. This paper reveals the regional dimension of inter-port linkage dynamic structure of Chinese maritime ports from a complex multilayer perspective that is meaningful for strategic forecasting and regional long-term economic development planning. In this research, Automatic Information System (AIS-derived traffic flows were used to construct a maritime network and subnetworks based on the geographical locations of ports. The linkage intensity between subnetworks, the linkage tightness within subnetworks, the spatial isolation between high-intensity backbones and tight skeleton networks, and a linkage concentration index for each port were calculated. The ports, in turn, were analyzed based on these network attributes. This study analyzed the external competitiveness and internal cohesion of each subnetwork. The results revealed problems in port management and planning, such as unclear divisions in port operations. More critically, weak complementary relationships between the backbone and skeleton networks among the ports reduce connectivity and must be strengthened. This research contributes to the body of work supporting strategic decision-making for future development.

  19. Application of wireless networks-peer–to-peer information sharing

    Science.gov (United States)

    ellappan, Vijayan; chaki, suchismita; kumar, avn

    2017-11-01

    Peer to Peer communications and its applications have gotten to be ordinary construction modelling in the wired network environment. But then, they have not been successfully adjusted with the wireless environment. Unlike the traditional client-server framework, in a P2P framework, each node can play the role of client as well as server simultaneously and exchange data or information with others. We aim to design an application which can adapt to the wireless ad-hoc networks. Peer to Peer communication can help people to share their files (information, image, audio, video and so on) and communicate with each other without relying on a particular network infrastructure or limited data usage. Here there is a central server with the help of which, the peers will have the capability to get the information about the other peers in the network. Indeed, even without the Internet, devices have the potential to allow users to connect and communicate in a special way through short range remote protocols such Wi-Fi.

  20. Impact of Repeated Exposures on Information Spreading in Social Networks.

    Science.gov (United States)

    Zhou, Cangqi; Zhao, Qianchuan; Lu, Wenbo

    2015-01-01

    Clustered structure of social networks provides the chances of repeated exposures to carriers with similar information. It is commonly believed that the impact of repeated exposures on the spreading of information is nontrivial. Does this effect increase the probability that an individual forwards a message in social networks? If so, to what extent does this effect influence people's decisions on whether or not to spread information? Based on a large-scale microblogging data set, which logs the message spreading processes and users' forwarding activities, we conduct a data-driven analysis to explore the answer to the above questions. The results show that an overwhelming majority of message samples are more probable to be forwarded under repeated exposures, compared to those under only a single exposure. For those message samples that cover various topics, we observe a relatively fixed, topic-independent multiplier of the willingness of spreading when repeated exposures occur, regardless of the differences in network structure. We believe that this finding reflects average people's intrinsic psychological gain under repeated stimuli. Hence, it makes sense that the gain is associated with personal response behavior, rather than network structure. Moreover, we find that the gain is robust against the change of message popularity. This finding supports that there exists a relatively fixed gain brought by repeated exposures. Based on the above findings, we propose a parsimonious model to predict the saturated numbers of forwarding activities of messages. Our work could contribute to better understandings of behavioral psychology and social media analytics.

  1. Information propagation within the Genetic Network of Saccharomyces cerevisiae.

    Science.gov (United States)

    Chowdhury, Sharif; Lloyd-Price, Jason; Smolander, Olli-Pekka; Baici, Wayne C V; Hughes, Timothy R; Yli-Harja, Olli; Chua, Gordon; Ribeiro, Andre S

    2010-10-26

    A gene network's capacity to process information, so as to bind past events to future actions, depends on its structure and logic. From previous and new microarray measurements in Saccharomyces cerevisiae following gene deletions and overexpressions, we identify a core gene regulatory network (GRN) of functional interactions between 328 genes and the transfer functions of each gene. Inferred connections are verified by gene enrichment. We find that this core network has a generalized clustering coefficient that is much higher than chance. The inferred Boolean transfer functions have a mean p-bias of 0.41, and thus similar amounts of activation and repression interactions. However, the distribution of p-biases differs significantly from what is expected by chance that, along with the high mean connectivity, is found to cause the core GRN of S. cerevisiae's to have an overall sensitivity similar to critical Boolean networks. In agreement, we find that the amount of information propagated between nodes in finite time series is much higher in the inferred core GRN of S. cerevisiae than what is expected by chance. We suggest that S. cerevisiae is likely to have evolved a core GRN with enhanced information propagation among its genes.

  2. Cortical networks for working memory and executive functions sustain the conscious resting state in man.

    Science.gov (United States)

    Mazoyer, B; Zago, L; Mellet, E; Bricogne, S; Etard, O; Houdé, O; Crivello, F; Joliot, M; Petit, L; Tzourio-Mazoyer, N

    2001-02-01

    The cortical anatomy of the conscious resting state (REST) was investigated using a meta-analysis of nine positron emission tomography (PET) activation protocols that dealt with different cognitive tasks but shared REST as a common control state. During REST, subjects were in darkness and silence, and were instructed to relax, refrain from moving, and avoid systematic thoughts. Each protocol contrasted REST to a different cognitive task consisting either of language, mental imagery, mental calculation, reasoning, finger movement, or spatial working memory, using either auditory, visual or no stimulus delivery, and requiring either vocal, motor or no output. A total of 63 subjects and 370 spatially normalized PET scans were entered in the meta-analysis. Conjunction analysis revealed a network of brain areas jointly activated during conscious REST as compared to the nine cognitive tasks, including the bilateral angular gyrus, the left anterior precuneus and posterior cingulate cortex, the left medial frontal and anterior cingulate cortex, the left superior and medial frontal sulcus, and the left inferior frontal cortex. These results suggest that brain activity during conscious REST is sustained by a large scale network of heteromodal associative parietal and frontal cortical areas, that can be further hierarchically organized in an episodic working memory parieto-frontal network, driven in part by emotions, working under the supervision of an executive left prefrontal network.

  3. Improving the Unreliability of Competence Information: an Argumentation to Apply Information Fusion in Learning Networks

    NARCIS (Netherlands)

    Miao, Yongwu; Sloep, Peter; Hummel, Hans; Koper, Rob

    2009-01-01

    Miao, Y., Sloep, P. B., Hummel, H., & Koper, R. (2009). Improving the Unreliability of Competence Information: an Argumentation to Apply Information Fusion in Learning Networks [Special issue]. International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), 19(4/5/6),

  4. Determining business models for financial sustainability in regional health information organizations: a literature review.

    Science.gov (United States)

    Maffei, Roxana; Dunn, Kim

    2008-11-06

    While the promise and enthusiasm for regional health information organizations (RHIOs) are immense, a significant issue regarding this type of health information exchange, (HIE) remains unclear: financial sustainability. As of today, there is a clear lack of concrete business models implemented in RHIOs' projects. The purpose of this study is to conduct a literature review of the current state of RHIOs adaptation and implementation of business models for successful financial sustainability, as well as evaluate existing RHIOs financial situation to determine and recommend best models for economic uphold. This literature review will be the starting point for thorough analysis and understanding of the economic factors required for RHIOs to generate a return on investment (ROI) and become self-sustainable.

  5. Information Processing in Single Cells and Small Networks: Insights from Compartmental Models

    Science.gov (United States)

    Poirazi, Panayiota

    2009-03-01

    The goal of this paper is to present a set of predictions generated by detailed compartmental models regarding the ways in which information may be processed, encoded and propagated by single cells and neural assemblies. Towards this goal, I will review a number of modelling studies from our lab that investigate how single pyramidal neurons and small neural networks in different brain regions process incoming signals that are associated with learning and memory. I will first discuss the computational capabilities of individual pyramidal neurons in the hippocampus [1-3] and how these properties may allow a single cell to discriminate between different memories [4]. I will then present biophysical models of prefrontal layer V neurons and small networks that exhibit sustained activity under realistic synaptic stimulation and discuss their potential role in working memory [5].

  6. Hierarchical attention networks for information extraction from cancer pathology reports.

    Science.gov (United States)

    Gao, Shang; Young, Michael T; Qiu, John X; Yoon, Hong-Jun; Christian, James B; Fearn, Paul A; Tourassi, Georgia D; Ramanthan, Arvind

    2017-11-16

    We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple information extraction tasks from unstructured cancer pathology reports compared to conventional methods that do not sufficiently capture syntactic and semantic contexts from free-text documents. Data for our analyses were obtained from 942 deidentified pathology reports collected by the National Cancer Institute Surveillance, Epidemiology, and End Results program. The HAN was implemented for 2 information extraction tasks: (1) primary site, matched to 12 International Classification of Diseases for Oncology topography codes (7 breast, 5 lung primary sites), and (2) histological grade classification, matched to G1-G4. Model performance metrics were compared to conventional machine learning (ML) approaches including naive Bayes, logistic regression, support vector machine, random forest, and extreme gradient boosting, and other DL models, including a recurrent neural network (RNN), a recurrent neural network with attention (RNN w/A), and a convolutional neural network. Our results demonstrate that for both information tasks, HAN performed significantly better compared to the conventional ML and DL techniques. In particular, across the 2 tasks, the mean micro and macro F-scores for the HAN with pretraining were (0.852,0.708), compared to naive Bayes (0.518, 0.213), logistic regression (0.682, 0.453), support vector machine (0.634, 0.434), random forest (0.698, 0.508), extreme gradient boosting (0.696, 0.522), RNN (0.505, 0.301), RNN w/A (0.637, 0.471), and convolutional neural network (0.714, 0.460). HAN-based DL models show promise in information abstraction tasks within unstructured clinical pathology reports.

  7. Self-sustained motion of microcapsules on a substrate controlled via the repressilator regulatory network

    Science.gov (United States)

    Shum, Henry; Yashin, Victor; Balazs, Anna

    2014-11-01

    We design microcapsules that undergo self-induced motion in a fluid along a substrate and are able to collectively self-organize when controlled by a biomimetic signaling network. Three microcapsules act as localized sources of distinct chemicals that diffuse through the fluid. The production rate of each chemical is modulated by a regulatory network known as the repressilator: each species represses the production of the next in a cycle. We show that this system can exhibit sustained oscillations. We then allow the diffusing species to adsorb onto the substrate, altering the surface interaction energy. Gradients in surface energy lead to motion of the microcapsules. We find that regulation via the repressilator gives rise to qualitatively different outcomes. Chemical oscillations can facilitate aggregation of the microcapsules and the aggregate can undergo sustained translational or oscillatory motion. Numerical simulation of the fluid flow, microcapsule dynamics and concentration fields is achieved by a combination of the lattice Boltzmann, immersed boundary and finite difference methods. We assess the role of hydrodynamic interactions by comparison with a simplified model that assumes a constant drag coefficient relating the force on a microcapsule to its velocity.

  8. ANALYSIS OF A NETWORK OF COOPERATION IN MISIONES, ARGENTINA: BENEFITS AND LACKS FOR LOCAL SUSTAINABLE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Juan Carlos, Michalus

    2012-01-01

    Full Text Available We present a case study of a network of existing cooperation in the province of Misiones, Argentina, composed of Small and Medium Enterprises (SMEs Elaboration of black tea and a group of SMEs from sawn wood, formed from the particular initiative of the tea entrepreneur. The aim is to identify the benefits of working in cooperation and, in turn, highlight the lacks when these processes are not performed in a planned and sustainable local oriented development. The case study that is exposed is a unique, contemporary data survey with establishments belonging to the cooperative network, interviews with entrepreneurs and managers of production, which led to evidence the benefits of cooperation, which include: use of waste, generation of trust between employers and contribution to environmental stewardship. There were also major shortcomings that prevent greater profit derived from the lack of an appropriate methodological instrument to implement this type of cooperative enterprises, among which stands out: poor use of idle resources, lack of process improvements through innovations joint, non-participation of major players and systematic orientation towards the local sustainable development.

  9. Life, Work and Sustainable Learning Practices: A Study on a Small Business Network

    Directory of Open Access Journals (Sweden)

    Ana Silvia Rocha Ipiranga

    2014-04-01

    Full Text Available Knowledge and knowing processes as work and life practices are not univocal. They are not related to knowledge as an autonomous body of propositions, but permeated with new identities and action modes, which are continuously formed, promoting learning opportunities. The objective of this research is formulated in the understanding of this shift between knowing and knowledge when describing practical learning in everyday work life, reflecting on the implications of this social labor process on small business network sustainability. A qualitative case study approach was used. In line with the theoretical and epistemological choices that guided this research, we decided to use an analysis of discursive practices approach and, accordingly, data collection was based on triangulation techniques in favor of interpretation enrichment. The knowledge to act, revealed in the analysis, suggested that organizations are social worlds forming a standard that holds life, work and organizational practices together. They negotiate, circulate, transform and reproduce, forming a network of actors and favoring sustainable practices learning.

  10. Reduced functional connectivity of fronto-parietal sustained attention networks in severe childhood abuse.

    Directory of Open Access Journals (Sweden)

    Heledd Hart

    Full Text Available Childhood maltreatment is associated with attention deficits. We examined the effect of childhood abuse and abuse-by-gene (5-HTTLPR, MAOA, FKBP5 interaction on functional brain connectivity during sustained attention in medication/drug-free adolescents. Functional connectivity was compared, using generalised psychophysiological interaction (gPPI analysis of functional magnetic resonance imaging (fMRI data, between 21 age-and gender-matched adolescents exposed to severe childhood abuse and 27 healthy controls, while they performed a parametrically modulated vigilance task requiring target detection with a progressively increasing load of sustained attention. Behaviourally, participants exposed to childhood abuse had increased omission errors compared to healthy controls. During the most challenging attention condition abused participants relative to controls exhibited reduced connectivity, with a left-hemispheric bias, in typical fronto-parietal attention networks, including dorsolateral, rostromedial and inferior prefrontal and inferior parietal regions. Abuse-related connectivity abnormalities were exacerbated in individuals homozygous for the risky C-allele of the single nucleotide polymorphism rs3800373 of the FK506 Binding Protein 5 (FKBP5 gene. Findings suggest that childhood abuse is associated with decreased functional connectivity in fronto-parietal attention networks and that the FKBP5 genotype moderates neurobiological vulnerability to abuse. These findings represent a first step towards the delineation of abuse-related neurofunctional connectivity abnormalities, which hopefully will facilitate the development of specific treatment strategies for victims of childhood maltreatment.

  11. The Networking and Information Technology Research and Development NITRD Program 2012 Strategic Plan

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — Information technology IT computers, wired and wireless digital networks, electronic data and information, IT devices and systems, and software applications?today...

  12. Building a Library Subculture to Sustain Information Literacy Practice with Second Order Change

    Science.gov (United States)

    Wilkinson, Carrol Wetzel; Bruch, Courtney

    2014-01-01

    This article addresses development for information literacy (IL) practice through building internal library organizational culture. Using an analysis of relevant literature and reflection on lived experience, the authors explore issues and concepts for instruction librarians and leaders to consider as they advance and sustain IL initiatives.…

  13. Community Outreach Projects as a Sustainable Way of Introducing Information Technology in Developing Countries

    Science.gov (United States)

    Zlotnikova, Irina; van der Weide, Theo

    2015-01-01

    The paper describes an approach to the sustainable introduction of IT in developing countries based on international collaboration between students taking the form of a knowledge bridge. The authors consider the challenges for introducing information technologies in developing countries; one of these is lack of reading materials ultimately leading…

  14. The Use of Artificial Neural Networks for Identifying Sustainable Biodiesel Feedstocks

    Directory of Open Access Journals (Sweden)

    Zoran D. Ristovski

    2013-07-01

    Full Text Available Over the past few decades, biodiesel produced from oilseed crops and animal fat is receiving much attention as a renewable and sustainable alternative for automobile engine fuels, and particularly petroleum diesel. However, current biodiesel production is heavily dependent on edible oil feedstocks which are unlikely to be sustainable in the longer term due to the rising food prices and the concerns about automobile engine durability. Therefore, there is an urgent need for researchers to identify and develop sustainable biodiesel feedstocks which overcome the disadvantages of current ones. On the other hand, artificial neural network (ANN modeling has been successfully used in recent years to gain new knowledge in various disciplines. The main goal of this article is to review recent literatures and assess the state of the art on the use of ANN as a modeling tool for future generation biodiesel feedstocks. Biodiesel feedstocks, production processes, chemical compositions, standards, physio-chemical properties and in-use performance are discussed. Limitations of current biodiesel feedstocks over future generation biodiesel feedstock have been identified. The application of ANN in modeling key biodiesel quality parameters and combustion performance in automobile engines is also discussed. This review has determined that ANN modeling has a high potential to contribute to the development of renewable energy systems by accelerating biodiesel research.

  15. Consumer response to health and environmental sustainability information regarding seafood consumption.

    Science.gov (United States)

    Jacobs, Silke; Sioen, Isabelle; Marques, António; Verbeke, Wim

    2018-02-01

    Seafood consumption has an impact on both consumers' health and on the marine environment, making the integration of health and sustainability aspects in information and recommendation messages for consumers highly topical. This study presents the results of a consumer study in terms of the impact of exposure to a message about health and sustainability aspects of seafood on 986 participants from Belgium and Portugal. Possible drivers for behavioural change regarding seafood consumption frequency and sustainable seafood buying frequency are studied following exposure to the message. Initial behaviour emerges as the most important factor triggering a change in the intention to consume seafood twice per week and a change in the intention to buy sustainable seafood. A higher health benefit perception resulted in an increased intention to consume seafood twice per week. Attitude towards the message and the option to optimise consumers' choice of seafood species favouring sustainability were significant determinants of change in the intention to buy sustainable seafood. Different stakeholders may take the results of this communication strategy into account and, consequently, contribute to a seafood supply and related communication that supports public health and the marine environment. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Cooperative Routing for Wireless Networks using Mutual-Information Accumulation

    CERN Document Server

    Draper, Stark C; Molisch, Andreas F; Yedidia, Jonathan S

    2009-01-01

    Cooperation between the nodes of wireless multihop networks can increase communication reliability, reduce energy consumption, and decrease latency. The possible improvements are even greater when nodes perform mutual information accumulation using rateless codes. In this paper, we investigate routing problems in such networks. Given a network, a source, and a destination, our objective is to minimize end-to-end transmission delay under energy and bandwidth constraints. We provide an algorithm that determines which nodes should participate in forwarding the message and what resources (time, energy, bandwidth) should be allocated to each. Our approach factors into two sub-problems, each of which can be solved efficiently. For any transmission order we show that solving for the optimum resource allocation can be formulated as a linear programming problem. We then show that the transmission order can be improved systematically by swapping nodes based on the solution of the linear program. Solving a sequence of l...

  17. Query-Based Outlier Detection in Heterogeneous Information Networks

    Science.gov (United States)

    Kuck, Jonathan; Zhuang, Honglei; Yan, Xifeng; Cam, Hasan; Han, Jiawei

    2015-01-01

    Outlier or anomaly detection in large data sets is a fundamental task in data science, with broad applications. However, in real data sets with high-dimensional space, most outliers are hidden in certain dimensional combinations and are relative to a user’s search space and interest. It is often more effective to give power to users and allow them to specify outlier queries flexibly, and the system will then process such mining queries efficiently. In this study, we introduce the concept of query-based outlier in heterogeneous information networks, design a query language to facilitate users to specify such queries flexibly, define a good outlier measure in heterogeneous networks, and study how to process outlier queries efficiently in large data sets. Our experiments on real data sets show that following such a methodology, interesting outliers can be defined and uncovered flexibly and effectively in large heterogeneous networks. PMID:27064397

  18. Directedness of information flow in mobile phone communication networks

    CERN Document Server

    Peruani, Fernando; 10.1371/journal.pone.0028860

    2013-01-01

    Without having direct access to the information that is being exchanged, traces of information flow can be obtained by looking at temporal sequences of user interactions. These sequences can be represented as causality trees whose statistics result from a complex interplay between the topology of the underlying (social) network and the time correlations among the communications. Here, we study causality trees in mobile-phone data, which can be represented as a dynamical directed network. This representation of the data reveals the existence of super-spreaders and super-receivers. We show that the tree statistics, respectively the information spreading process, are extremely sensitive to the in-out degree correlation exhibited by the users. We also learn that a given information, e.g., a rumor, would require users to retransmit it for more than 30 hours in order to cover a macroscopic fraction of the system. Our analysis indicates that topological node-node correlations of the underlying social network, while ...

  19. Information Source Selection and Management Framework in Wireless Sensor Network

    DEFF Research Database (Denmark)

    Tobgay, Sonam; Olsen, Rasmus Løvenstein; Prasad, Ramjee

    2013-01-01

    With an advancement of technologies especially in the field of electronics, different types of sensors which can measure same physical phenomenon can be found in the market. Therefore, it is likely that difl'erent types of sensors which measure same physical phenomenon will be used for some...... applications. Different properties and characteristics like sensitivity, response time etc., of these different sensors will result in generating information at difl'erent rates. When these different types of sensors are deployed to collect same information, the users have choice to select from different...... information source selection and management framework and presents an algorithm which selects the information source based on the information mismatch probability [1]. The sampling rate for every access is decided as per the maximum allowable power consumption limit. Index Terms-wireless sensor network...

  20. Resistance and Security Index of Networks: Structural Information Perspective of Network Security.

    Science.gov (United States)

    Li, Angsheng; Hu, Qifu; Liu, Jun; Pan, Yicheng

    2016-06-03

    Recently, Li and Pan defined the metric of the K-dimensional structure entropy of a structured noisy dataset G to be the information that controls the formation of the K-dimensional structure of G that is evolved by the rules, order and laws of G, excluding the random variations that occur in G. Here, we propose the notion of resistance of networks based on the one- and two-dimensional structural information of graphs. Given a graph G, we define the resistance of G, written , as the greatest overall number of bits required to determine the code of the module that is accessible via random walks with stationary distribution in G, from which the random walks cannot escape. We show that the resistance of networks follows the resistance law of networks, that is, for a network G, the resistance of G is , where and are the one- and two-dimensional structure entropies of G, respectively. Based on the resistance law, we define the security index of a network G to be the normalised resistance of G, that is, . We show that the resistance and security index are both well-defined measures for the security of the networks.

  1. Information spread in networks: Games, optimal control, and stabilization

    Science.gov (United States)

    Khanafer, Ali

    This thesis focuses on designing efficient mechanisms for controlling information spread in networks. We consider two models for information spread. The first one is the well-known distributed averaging dynamics. The second model is a nonlinear one that describes virus spread in computer and biological networks. We seek to design optimal, robust, and stabilizing controllers under practical constraints. For distributed averaging networks, we study the interaction between a network designer and an adversary. We consider two types of attacks on the network. In Attack-I, the adversary strategically disconnects a set of links to prevent the nodes from reaching consensus. Meanwhile, the network designer assists the nodes in reaching consensus by changing the weights of a limited number of links in the network. We formulate two problems to describe this competition where the order in which the players act is reversed in the two problems. Although the canonical equations provided by the Pontryagin's Maximum Principle (MP) seem to be intractable, we provide an alternative characterization for the optimal strategies that makes connection to potential theory. Further, we provide a sufficient condition for the existence of a saddle-point equilibrium (SPE) for the underlying zero-sum game. In Attack-II, the designer and the adversary are both capable of altering the measurements of all nodes in the network by injecting global signals. We impose two constraints on both players: a power constraint and an energy constraint. We assume that the available energy to each player is not sufficient to operate at maximum power throughout the horizon of the game. We show the existence of an SPE and derive the optimal strategies in closed form for this attack scenario. As an alternative to the "network designer vs. adversary" framework, we investigate the possibility of stabilizing unknown network diffusion processes using a distributed mechanism, where the uncertainty is due to an attack

  2. Generating route choice sets with operation information on metro networks

    Directory of Open Access Journals (Sweden)

    Wei Zhu

    2016-06-01

    Full Text Available In recent years, the metro system has advanced into an efficient transport system and become the mainstay of urban passenger transport in many mega-cities. Passenger flow is the foundation of making and coordinating operation plans for the metro system, and therefore, a variety of studies were conducted on transit assignment models. Nevertheless route choice sets of passengers also play a paramount role in flow estimation and demand prediction. This paper first discusses the main route constraints of which the train schedule is the most important, that distinguish rail networks from road networks. Then, a two-step approach to generate route choice set in a metro network is proposed. Particularly, the improved approach introduces a route filtering with train operational information based on the conventional method. An initial numerical test shows that the proposed approach gives more reasonable route choice sets for scheduled metro networks, and, consequently, obtains more accurate results from passenger flow assignment. Recommendations for possible opportunities to apply this approach to metro operations are also provided, including its integration into a metro passenger flow assignment and simulation system in practice to help metro authorities provide more precise guidance information for passengers to travel.

  3. Information processing by networks of quantum decision makers

    Science.gov (United States)

    Yukalov, V. I.; Yukalova, E. P.; Sornette, D.

    2018-02-01

    We suggest a model of a multi-agent society of decision makers taking decisions being based on two criteria, one is the utility of the prospects and the other is the attractiveness of the considered prospects. The model is the generalization of quantum decision theory, developed earlier for single decision makers realizing one-step decisions, in two principal aspects. First, several decision makers are considered simultaneously, who interact with each other through information exchange. Second, a multistep procedure is treated, when the agents exchange information many times. Several decision makers exchanging information and forming their judgment, using quantum rules, form a kind of a quantum information network, where collective decisions develop in time as a result of information exchange. In addition to characterizing collective decisions that arise in human societies, such networks can describe dynamical processes occurring in artificial quantum intelligence composed of several parts or in a cluster of quantum computers. The practical usage of the theory is illustrated on the dynamic disjunction effect for which three quantitative predictions are made: (i) the probabilistic behavior of decision makers at the initial stage of the process is described; (ii) the decrease of the difference between the initial prospect probabilities and the related utility factors is proved; (iii) the existence of a common consensus after multiple exchange of information is predicted. The predicted numerical values are in very good agreement with empirical data.

  4. PREFACE: Complex Networks: from Biology to Information Technology

    Science.gov (United States)

    Barrat, A.; Boccaletti, S.; Caldarelli, G.; Chessa, A.; Latora, V.; Motter, A. E.

    2008-06-01

    The field of complex networks is one of the most active areas in contemporary statistical physics. Ten years after seminal work initiated the modern study of networks, interest in the field is in fact still growing, as indicated by the ever increasing number of publications in network science. The reason for such a resounding success is most likely the simplicity and broad significance of the approach that, through graph theory, allows researchers to address a variety of different complex systems within a common framework. This special issue comprises a selection of contributions presented at the workshop 'Complex Networks: from Biology to Information Technology' held in July 2007 in Pula (Cagliari), Italy as a satellite of the general conference STATPHYS23. The contributions cover a wide range of problems that are currently among the most important questions in the area of complex networks and that are likely to stimulate future research. The issue is organised into four sections. The first two sections describe 'methods' to study the structure and the dynamics of complex networks, respectively. After this methodological part, the issue proceeds with a section on applications to biological systems. The issue closes with a section concentrating on applications to the study of social and technological networks. The first section, entitled Methods: The Structure, consists of six contributions focused on the characterisation and analysis of structural properties of complex networks: The paper Motif-based communities in complex networks by Arenas et al is a study of the occurrence of characteristic small subgraphs in complex networks. These subgraphs, known as motifs, are used to define general classes of nodes and their communities by extending the mathematical expression of the Newman-Girvan modularity. The same line of research, aimed at characterising network structure through the analysis of particular subgraphs, is explored by Bianconi and Gulbahce in Algorithm

  5. Towards a Semiotic Information Position Framework for Network Centric Warfare

    Science.gov (United States)

    2011-06-01

    Postgraduate School. 37. Roy, D., Semiotic Schemas: A Framework for Grounding Language in Action and Perception. Artificial Intelligence, 2005. 167: p. 170...Technology Symposium. 2005. 47. Zemanek, H., Semiotics and Programming Languages . Communications of the ACM, 1966. 9(3): p. 139-143. UNCLASSIFIED...16th ICCRTS: Collective C2 in Multinational Civil-Military Operations Towards a Semiotic Information Position Framework for Network

  6. Mediterranean Aquatic Sciences Libraries and Information Centres Network

    OpenAIRE

    Watts, Margaret; Mayer, Marina

    2010-01-01

    A successful inaugural meeting of the Network was held under the auspices of the EURASLIC and hosted and supported by the Marine Science Institute of Andalusia (CSIC) in Cadiz, Spain from 17 to 18 November 2008. Rich and informative presentations were given by librarians from centres in Croatia, France, Greece, Italy, Lebanon, Spain and Tunisia. Special presentations focussed on the Aquatic Commons, the European and International Associations, the MED POL info system, online open access sourc...

  7. An intelligent management system for corporate information- calculating network development

    CERN Document Server

    Pirogov, V V; Khristenko, D V

    2001-01-01

    An approach to solving the problem of managerial control quality improvement corporate information-calculating networks (CICN) is proposed. The approach is based on the concept of a flexible toolkit. A macro-model, system-science and system-engineering models of an intelligent managerial control system (IMCS) for CICN development are considered as well as its dynamics. The practical opportunity of IMCS implementation is assessed. (5 refs).

  8. Geosciences Information Network (GIN): A Distributed, Interoperable Data Network for the Geosciences

    Science.gov (United States)

    Allison, L.; Gundersen, L. C.; Richard, S. M.; Dickinson, T. L.

    2008-12-01

    A coalition of the state geological surveys (AASG), the U.S. Geological Survey (USGS), and other partners will receive NSF funding over the next 3 years under the INTEROP solicitation to start building a distributed, interoperable data network that will make thousands of data bases from the geological surveys and their partners available, searchable, and interoperable. This Geosciences Information Network (GIN) will focus on both spatial and analytical geologic data collected across the country for the past 150 years. Key components of the proposed network include: 1) catalog systems for data discovery; 2) service definitions that define interfaces for searching catalogs and accessing resources; 3) shared interchange formats to encode information for transmission; 4) data providers that publish information using standardized services defined by the network; and 5) client applications enabled to utilize information resources provided by the network. The GIN will integrate and utilize catalog resources that currently exist or are in development. We are working closely with the USGS National Geologic Map Database and its existing map catalog; with the USGS National Geological and Geophysical Data Preservation project, which is developing a metadata catalog for geoscience information resource discovery; and with the GEON catalog. Existing and emerging extensible mark-up languages such as GeoSciML, ChemML, and Open Geospatial Consortium sensor, observation and measurement MLs will provide the necessary interchange formats. Client application development will be fostered by collaboration with industry partners such as ESRI who's Geology Data Model for ArcGIS software is being designed to be compatible with GIN. The GIN project will focus on development of the remaining aspects of the system including: service definitions, technical assistance to data providers to implement the services and bring content online, and system integration. The Geosciences Information Network

  9. Information literacy and environmental sustainability correlation in using and communicating information

    OpenAIRE

    Repanovici, Angela; Landøy, Ane

    2015-01-01

    Information literacy is the discipline that shapes the informational behavior of young students, Master and PhD students. The skills acquired by attending this course can decisively influence thinking and may generate critical thinking for analyzing information. Extending the module designed for achieving Information Literacy standards, we present a module on green practices, green libraries and the implications of using electronic resources on carbon emissions and consumption of electricity....

  10. Stochastic resonance can enhance information transmission in neural networks.

    Science.gov (United States)

    Kawaguchi, Minato; Mino, Hiroyuki; Durand, Dominique M

    2011-07-01

    Stochastic resonance (SR) is a noise-induced phenomenon whereby signal detection can be improved by the addition of background noise in nonlinear systems. SR can also improve the transmission of information within single neurons. Since information processing in the brain is carried out by neural networks and noise is present throughout the brain, the hypothesis that noise and coupling play an important role in the control of information processing within a population of neurons to control was tested. Using computer simulations, we investigate the effect of noise on the transmission of information in an array of neurons, known as array-enhanced SR (AESR) in an interconnected population of hippocampal neurons. A subthreshold synaptic current (signal) modeled by a filtered homogeneous Poisson process was applied to a distal position in each of the apical dendrites, while background synaptic signals (uncorrelated noise) were presented to the midpoint in the basal dendrite. The transmembrane potentials were recorded in each cell of an array of CA1 neuron models, in order to determine spike firing times and to estimate the total and noise entropies from the spike firing times. The results show that the mutual information is maximized for a specific amplitude of uncorrelated noise, implying the presence of AESR. The results also show that the maximum mutual information increases with increased numbers of neurons and the strength of connections. Moreover, the relative levels of excitation and inhibition modulate the mutual information transfer. It is concluded that uncorrelated noise can enhance information transmission of subthreshold synaptic input currents in a population of hippocampal CA1 neuron models. Therefore, endogenous neural noise could play an important role in neural tissue by modulating the transfer of information across the network. © 2011 IEEE

  11. Modeling information diffusion in time-varying community networks

    Science.gov (United States)

    Cui, Xuelian; Zhao, Narisa

    2017-12-01

    Social networks are rarely static, and they typically have time-varying network topologies. A great number of studies have modeled temporal networks and explored social contagion processes within these models; however, few of these studies have considered community structure variations. In this paper, we present a study of how the time-varying property of a modular structure influences the information dissemination. First, we propose a continuous-time Markov model of information diffusion where two parameters, mobility rate and community attractiveness, are introduced to address the time-varying nature of the community structure. The basic reproduction number is derived, and the accuracy of this model is evaluated by comparing the simulation and theoretical results. Furthermore, numerical results illustrate that generally both the mobility rate and community attractiveness significantly promote the information diffusion process, especially in the initial outbreak stage. Moreover, the strength of this promotion effect is much stronger when the modularity is higher. Counterintuitively, it is found that when all communities have the same attractiveness, social mobility no longer accelerates the diffusion process. In addition, we show that the local spreading in the advantage group has been greatly enhanced due to the agglomeration effect caused by the social mobility and community attractiveness difference, which thus increases the global spreading.

  12. The Sustainability of Global Chain Governance: Network Structures and Local Supplier Upgrading in Thailand

    Directory of Open Access Journals (Sweden)

    Sungchul Cho

    2016-09-01

    Full Text Available Although it has been widely accepted that insertion into global production networks may play a critical role in fostering local supplier upgrading, scholars have yet to fully incorporate heterogeneous configurations of buyer-supplier relationships within networks into empirical testing. Using a representative sample of manufacturing firms in Thailand, we propose a more nuanced empirical framework that asks which features of buyer-supplier relationships are related to which aspects of local supplier upgrading. Our findings, derived from latent class analysis, show that the ways value chains are governed can exert varying effects on different types of technological upgrading. Being a multinational corporation (MNC supplier was found to have positive effects on process and minor product upgrading, irrespective of the types of buyer-supplier networks. However, we found a more radical type of upgrading (i.e., the development of own brands to be negatively related to insertion into ‘quasi-hierarchical’ or ‘buyer-driven relationships’, whilst involvement in ‘cooperative networks’ was associated with a significantly higher tendency of product and brand upgrading. Understanding this inherent relationality provides a crucial balance to previous firm-level findings, suggesting that the sustainability of participation in global value chains depends on the relational structures in which local manufacturers are embedded.

  13. Advancing the application of systems thinking in health: analysing the contextual and social network factors influencing the use of sustainability indicators in a health system--a comparative study in Nepal and Somaliland.

    Science.gov (United States)

    Blanchet, Karl; Palmer, Jennifer; Palanchowke, Raju; Boggs, Dorothy; Jama, Ali; Girois, Susan

    2014-08-26

    Health systems strengthening is becoming a key component of development agendas for low-income countries worldwide. Systems thinking emphasizes the role of diverse stakeholders in designing solutions to system problems, including sustainability. The objective of this paper is to compare the definition and use of sustainability indicators developed through the Sustainability Analysis Process in two rehabilitation sectors, one in Nepal and one in Somaliland, and analyse the contextual factors (including the characteristics of system stakeholder networks) influencing the use of sustainability data. Using the Sustainability Analysis Process, participants collectively clarified the boundaries of their respective systems, defined sustainability, and identified sustainability indicators. Baseline indicator data was gathered, where possible, and then researched again 2 years later. As part of the exercise, system stakeholder networks were mapped at baseline and at the 2-year follow-up. We compared stakeholder networks and interrelationships with baseline and 2-year progress toward self-defined sustainability goals. Using in-depth interviews and observations, additional contextual factors affecting the use of sustainability data were identified. Differences in the selection of sustainability indicators selected by local stakeholders from Nepal and Somaliland reflected differences in the governance and structure of the present rehabilitation system. At 2 years, differences in the structure of social networks were more marked. In Nepal, the system stakeholder network had become more dense and decentralized. Financial support by an international organization facilitated advancement toward self-identified sustainability goals. In Somaliland, the small, centralised stakeholder network suffered a critical rupture between the system's two main information brokers due to competing priorities and withdrawal of international support to one of these. Progress toward self

  14. Conceptual Framework for Developing a Diabetes Information Network.

    Science.gov (United States)

    Riazi, Hossein; Langarizadeh, Mostafa; Larijani, Bagher; Shahmoradi, Leila

    2016-06-01

    To provide a conceptual framework for managing diabetic patient care, and creating an information network for clinical research. A wide range of information technology (IT) based interventions such as distance learning, diabetes registries, personal or electronic health record systems, clinical information systems, and clinical decision support systems have so far been used in supporting diabetic care. Previous studies demonstrated that IT could improve diabetes care at its different aspects. There is however no comprehensive conceptual framework that defines how different IT applications can support diverse aspects of this care. Therefore, a conceptual framework that combines different IT solutions into a wide information network for improving care processes and for research purposes is widely lacking. In this study we describe the theoretical underpin of a big project aiming at building a wide diabetic information network namely DIANET. A literature review and a survey of national programs and existing regulations for diabetes management was conducted in order to define different aspects of diabetic care that should be supported by IT solutions. Both qualitative and quantitative research methods were used in this study. In addition to the results of a previous systematic literature review, two brainstorming and three expert panel sessions were conducted to identify requirements of a comprehensive information technology solution. Based on these inputs, the requirements for creating a diabetes information network were identified and used to create a questionnaire based on 9-point Likert scale. The questionnaire was finalized after removing some items based on calculated content validity ratio and content validity index coefficients. Cronbach's alpha reliability coefficient was also calculated (αTotal= 0.98, Pconceptual framework. The questionnaires were returned by 10 clinicians. Each requirement item was labeled as essential, semi-essential, or non

  15. Humanitarian Information Management Network Effectiveness: An Analysis at the Organizational and Network Levels

    Science.gov (United States)

    Ngamassi Tchouakeu, Louis-Marie

    2011-01-01

    Massive international response to humanitarian crises such as the South Asian Tsunami in 2004, the Hurricane Katrina in 2005 and the Haiti earthquake in 2010 highlights the importance of humanitarian inter-organizational collaboration networks, especially in information management and exchange. Despite more than a decade old call for more research…

  16. Health care communication networks: disseminating employee information for hospital security.

    Science.gov (United States)

    Sumner, Jennifer; Liberman, Aaron; Rotarius, Timothy; Wan, Thomas T H; Eaglin, Ronald

    2009-01-01

    Health care in the United States is a system that, organizationally speaking, is fragmented. Each hospital facility is independently operated and is responsible for the hiring of its own employees. Corrupt individuals can take advantage of this fragmentation and move from hospital to hospital, gaining employment while hiding previous employment history. However, the need to exchange pertinent information regarding employees will become necessary as hospitals seek to fill positions throughout their organizations. One way to promote this information exchange is to develop trusted information sharing networks among hospital units. This study examined the problems surrounding organizational information sharing and the cultural factors necessary to enhance the exchange of employee information. Surveys were disseminated to 2,603 hospital chief executive officers and chief information officers throughout the nation. A sample of 154 respondents provided data into their current hiring practices and on their willingness to engage in the sharing of employee information. Findings indicated that, although fear of defamation and privacy violations do hinder the exchange of information between hospitals during the hiring process, by increasing external trust, linking the sharing process with the organizational goals of the hospital, and developing a "sharing culture" among hospitals, the exchange of employee information could be enhanced.

  17. Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches

    Directory of Open Access Journals (Sweden)

    Mojtaba Valinejad Shoubi

    2015-03-01

    Full Text Available A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy consumed by a double story bungalow house in Johor, Malaysia, and assessments of alternative material configurations to determine the best energy performance were evaluated by using Revit Architecture 2012 and Autodesk Ecotect Analysis software to show which of the materials helped in reducing the operational energy use of the building to the greatest extent throughout its annual life cycle. At the end, some alternative, sustainable designs in terms of energy savings have been suggested.

  18. Investigation of network-based information system model

    Energy Technology Data Exchange (ETDEWEB)

    Konrad, A.M.; Perez, M.; Rivera, J.; Rodriguez, Y.; Durst, M.J.; Merrill, D.W.; Holmes, H.H.

    1996-09-01

    The objective of the DOE-LBNL summer student research program in computer and information sciences focused on investigating database- based http-based information architectures, and implementation of a prototype using DOE`s Comprehensive Epidemiologic Data Resource (CEDR) metadata or Epidemiology Guide content. We were successful in identifying the components of such an information system, and appropriate configuration given the requirements, and in implementing a prototype. This work comprised investigation of various information systems architectures or variants, evaluation and selection of various tools, products, and packages, preparation of databases, database content, output formats, and graphical (World Wide Web- compatible) interfaces. We successfully prepared and demonstrated network access to content from both the CEDR structured documentation and from the DOD Epidemiology Guides (site archive records).

  19. The Global Universities Partnership on Environment and Sustainability (GUPES): Networking of Higher Educational Institutions in Facilitating Implementation of the UN Decade of Education for Sustainable Development 2005-2014

    Science.gov (United States)

    Pradhan, Mahesh; Mariam, Ayombi

    2014-01-01

    This article will focus on involvement of Higher Education Institutions in promoting Education for Sustainable Development through UNEPs flagship programme Global Universities Partnership on Environment and Sustainability. To achieve this, the activities of the network are centered on three pillars: Education, Training and Networking.

  20. Modeling of Information Diffusion in Twitter-Like Social Networks under Information Overload

    Directory of Open Access Journals (Sweden)

    Pei Li

    2014-01-01

    Full Text Available Due to the existence of information overload in social networks, it becomes increasingly difficult for users to find useful information according to their interests. This paper takes Twitter-like social networks into account and proposes models to characterize the process of information diffusion under information overload. Users are classified into different types according to their in-degrees and out-degrees, and user behaviors are generalized into two categories: generating and forwarding. View scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated by a given type user is adopted to characterize the information diffusion efficiency, which is calculated theoretically. To verify the accuracy of theoretical analysis results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of importance to understand the diffusion dynamics in social networks, and this analysis framework can be extended to consider more realistic situations.

  1. Modeling of information diffusion in Twitter-like social networks under information overload.

    Science.gov (United States)

    Li, Pei; Li, Wei; Wang, Hui; Zhang, Xin

    2014-01-01

    Due to the existence of information overload in social networks, it becomes increasingly difficult for users to find useful information according to their interests. This paper takes Twitter-like social networks into account and proposes models to characterize the process of information diffusion under information overload. Users are classified into different types according to their in-degrees and out-degrees, and user behaviors are generalized into two categories: generating and forwarding. View scope is introduced to model the user information-processing capability under information overload, and the average number of times a message appears in view scopes after it is generated by a given type user is adopted to characterize the information diffusion efficiency, which is calculated theoretically. To verify the accuracy of theoretical analysis results, we conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of importance to understand the diffusion dynamics in social networks, and this analysis framework can be extended to consider more realistic situations.

  2. The Central American Network for Disaster and Health Information.

    Science.gov (United States)

    Arnesen, Stacey J; Cid, Victor H; Scott, John C; Perez, Ricardo; Zervaas, Dave

    2007-07-01

    This paper describes an international outreach program to support rebuilding Central America's health information infrastructure after several natural disasters in the region, including Hurricane Mitch in 1998 and two major earthquakes in 2001. The National Library of Medicine joined forces with the Pan American Health Organization/World Health Organization, the United Nations International Strategy for Disaster Reduction, and the Regional Center of Disaster Information for Latin America and the Caribbean (CRID) to strengthen libraries and information centers in Central America and improve the availability of and access to health and disaster information in the region by developing the Central American Network for Disaster and Health Information (CANDHI). Through CRID, the program created ten disaster health information centers in medical libraries and disaster-related organizations in six countries. This project served as a catalyst for the modernization of several medical libraries in Central America. The resulting CANDHI provides much needed electronic access to public health "gray literature" on disasters, as well as access to numerous health information resources. CANDHI members assist their institutions and countries in a variety of disaster preparedness activities through collecting and disseminating information.

  3. An open, interoperable, and scalable prehospital information technology network architecture.

    Science.gov (United States)

    Landman, Adam B; Rokos, Ivan C; Burns, Kevin; Van Gelder, Carin M; Fisher, Roger M; Dunford, James V; Cone, David C; Bogucki, Sandy

    2011-01-01

    Some of the most intractable challenges in prehospital medicine include response time optimization, inefficiencies at the emergency medical services (EMS)-emergency department (ED) interface, and the ability to correlate field interventions with patient outcomes. Information technology (IT) can address these and other concerns by ensuring that system and patient information is received when and where it is needed, is fully integrated with prior and subsequent patient information, and is securely archived. Some EMS agencies have begun adopting information technologies, such as wireless transmission of 12-lead electrocardiograms, but few agencies have developed a comprehensive plan for management of their prehospital information and integration with other electronic medical records. This perspective article highlights the challenges and limitations of integrating IT elements without a strategic plan, and proposes an open, interoperable, and scalable prehospital information technology (PHIT) architecture. The two core components of this PHIT architecture are 1) routers with broadband network connectivity to share data between ambulance devices and EMS system information services and 2) an electronic patient care report to organize and archive all electronic prehospital data. To successfully implement this comprehensive PHIT architecture, data and technology requirements must be based on best available evidence, and the system must adhere to health data standards as well as privacy and security regulations. Recent federal legislation prioritizing health information technology may position federal agencies to help design and fund PHIT architectures.

  4. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types.

    Science.gov (United States)

    Tomov, Petar; Pena, Rodrigo F O; Zaks, Michael A; Roque, Antonio C

    2014-01-01

    The cerebral cortex exhibits neural activity even in the absence of external stimuli. This self-sustained activity is characterized by irregular firing of individual neurons and population oscillations with a broad frequency range. Questions that arise in this context, are: What are the mechanisms responsible for the existence of neuronal spiking activity in the cortex without external input? Do these mechanisms depend on the structural organization of the cortical connections? Do they depend on intrinsic characteristics of the cortical neurons? To approach the answers to these questions, we have used computer simulations of cortical network models. Our networks have hierarchical modular architecture and are composed of combinations of neuron models that reproduce the firing behavior of the five main cortical electrophysiological cell classes: regular spiking (RS), chattering (CH), intrinsically bursting (IB), low threshold spiking (LTS), and fast spiking (FS). The population of excitatory neurons is built of RS cells (always present) and either CH or IB cells. Inhibitory neurons belong to the same class, either LTS or FS. Long-lived self-sustained activity states in our network simulations display irregular single neuron firing and oscillatory activity similar to experimentally measured ones. The duration of self-sustained activity strongly depends on the initial conditions, suggesting a transient chaotic regime. Extensive analysis of the self-sustained activity states showed that their lifetime expectancy increases with the number of network modules and is favored when the network is composed of excitatory neurons of the RS and CH classes combined with inhibitory neurons of the LTS class. These results indicate that the existence and properties of the self-sustained cortical activity states depend on both the topology of the network and the neuronal mixture that comprises the network.

  5. Linking hydrology, ecosystem function, and livelihood sustainability in African papyrus wetlands using a Bayesian Network Model

    Science.gov (United States)

    van Dam, A.; Gettel, G. M.; Kipkemboi, J.; Rahman, M. M.

    2011-12-01

    Papyrus wetlands in East Africa provide ecosystem services supporting the livelihoods of millions but are rapidly degrading due to economic development. For ecosystem conservation, an integrated understanding of the natural and social processes driving ecosystem change is needed. This research focuses on integrating the causal relationships between hydrology, ecosystem function, and livelihood sustainability in Nyando wetland, western Kenya. Livelihood sustainability is based on ecosystem services that include plant and animal harvest for building material and food, conversion of wetlands to crop and grazing land, water supply, and water quality regulation. Specific objectives were: to integrate studies of hydrology, ecology, and livelihood activities using a Bayesian Network (BN) model and include stakeholder involvement in model development. The BN model (Netica 4.16) had 35 nodes with seven decision nodes describing demography, economy, papyrus market, and rainfall, and two target nodes describing ecosystem function (defined by groundwater recharge, nutrient and sediment retention, and biodiversity) and livelihood sustainability (drinking water supply, crop production, livestock production, and papyrus yield). The conditional probability tables were populated using results of ecohydrological and socio-economic field work and consultations with stakeholders. The model was evaluated for an average year with decision node probabilities set according to data from research, expert opinion, and stakeholders' views. Then, scenarios for dry and wet seasons and for economic development (low population growth and unemployment) and policy development (more awareness of wetland value) were evaluated. In an average year, the probability for maintaining a "good" level of sediment and nutrient retention functions, groundwater recharge, and biodiversity was about 60%. ("Good" is defined by expert opinion based on ongoing field research.) In the dry season, the probability was

  6. Asset sustainability index : quick guide : proposed metrics for the long-term financial sustainability of highway networks.

    Science.gov (United States)

    2013-04-01

    "This report provides a Quick Guide to the concept of asset sustainability metrics. Such metrics address the long-term performance of highway assets based upon expected expenditure levels. : It examines how such metrics are used in Australia, Britain...

  7. A new assessment method of new energy in regional sustainable development based on hesitant fuzzy information

    Directory of Open Access Journals (Sweden)

    Hongdi Yao

    2014-10-01

    Full Text Available Purpose: The new energy has been an important driving force in region sustainable development. It is a critical issue to evaluate the role of new energy in region sustainable development.Design/methodology/approach: To deal with this issue, this paper proposes a new score function, in which, both mean and variance are considered. Then it introduces the basic operators, such as hesitant fuzzy weighted averaging operator and hesitant fuzzy weighted geometric operator to get the comprehensive assessment provided by the decision maker on each attribute.Findings: Due to the drawbacks of existing methods with hesitant fuzzy information, this paper puts forward a method and the procedure to solve the MADM (multiple attribute decision making problem. And an illustrative example is demonstrated to verify the reliability of the proposed method.Research limitations/implications: The method can be used to evaluate the new energy in regional sustainable development, but it cannot solve the problems with many experts.Practical implications: Based on the new framework, a case study is carried out to verify its applicability and validity. The research can fill the gaps for the assessment framework of new energy in regional sustainable development. This paper is of practical value in real life, which is the application of some techniques.Originality/value: This paper describes in detail in evaluating the role of new energy in region sustainable development. And a new score function is proposed with hesitant fuzzy information, that is, the idea of variance is introduced to form a new score function to measure the deviation of hesitant fuzzy elements. Meanwhile, the basic operator, such as hesitant fuzzy weighted averaging operator and hesitant fuzzy weighted geometric operator are introduced to integrate the hesitant fuzzy information.

  8. Country Selection Model for Sustainable Construction Businesses Using Hybrid of Objective and Subjective Information

    Directory of Open Access Journals (Sweden)

    Kang-Wook Lee

    2017-05-01

    Full Text Available An important issue for international businesses and academia is selecting countries in which to expand in order to achieve entrepreneurial sustainability. This study develops a country selection model for sustainable construction businesses using both objective and subjective information. The objective information consists of 14 variables related to country risk and project performance in 32 countries over 25 years. This hybrid model applies subjective weighting from industrial experts to objective information using a fuzzy LinPreRa-based Analytic Hierarchy Process. The hybrid model yields a more accurate country selection compared to a purely objective information-based model in experienced countries. Interestingly, the hybrid model provides some different predictions with only subjective opinions in unexperienced countries, which implies that expert opinion is not always reliable. In addition, feedback from five experts in top international companies is used to validate the model’s completeness, effectiveness, generality, and applicability. The model is expected to aid decision makers in selecting better candidate countries that lead to sustainable business success.

  9. Ecosystem service information to benefit sustainability standards for commodity supply chains.

    Science.gov (United States)

    Chaplin-Kramer, Rebecca; Jonell, Malin; Guerry, Anne; Lambin, Eric F; Morgan, Alexis J; Pennington, Derric; Smith, Nathan; Franch, Jane Atkins; Polasky, Stephen

    2015-10-01

    The growing base of information about ecosystem services generated by ecologists, economists, and other scientists could improve the implementation, monitoring, and evaluation of commodity-sourcing standards being adopted by corporations to mitigate risk in their supply chains and achieve sustainability goals. This review examines various ways that information about ecosystem services could facilitate compliance with and auditing of commodity-sourcing standards. We also identify gaps in the current state of knowledge on the ecological effectiveness of sustainability standards and demonstrate how ecosystem-service information could complement existing monitoring efforts to build credible evidence. This paper is a call to the ecosystem-service scientists to engage in this decision context and tailor the information they are generating to the needs of the standards community, which we argue would offer greater efficiency of standards implementation for producers and enhanced effectiveness for standard scheme owners and corporations, and should thus lead to more sustainable outcomes for people and nature. © 2015 New York Academy of Sciences.

  10. The value of spatial information in MPA network design.

    Science.gov (United States)

    Costello, Christopher; Rassweiler, Andrew; Siegel, David; De Leo, Giulio; Micheli, Fiorenza; Rosenberg, Andrew

    2010-10-26

    The science of spatial fisheries management, which combines ecology, oceanography, and economics, has matured significantly. As a result, there have been recent advances in exploiting spatially explicit data to develop spatially explicit management policies, such as networks of marine protected areas (MPAs). However, when data are sparse, spatially explicit policies become less viable, and we must instead rely on blunt policies such as total allowable catches or imprecisely configured networks of MPAs. Therefore, spatial information has the potential to change management approaches and thus has value. We develop a general framework within which to analyze the value of information for spatial fisheries management and apply that framework to several US Pacific coast fisheries. We find that improved spatial information can increase fishery value significantly (>10% in our simulations), and that it changes dramatically the efficient management approach-switching from diffuse effort everywhere to a strategy where fishing is spatially targeted, with some areas under intensive harvest and others closed to fishing. Using all available information, even when incomplete, is essential to management success and may as much as double fishery value relative to using (admittedly incorrect) assumptions commonly invoked.

  11. Autocatalytic sets and chemical organizations: modeling self-sustaining reaction networks at the origin of life

    Science.gov (United States)

    Hordijk, Wim; Steel, Mike; Dittrich, Peter

    2018-01-01

    Two related but somewhat different approaches have been proposed to formalize the notion of a self-sustaining chemical reaction network. One is the notion of collectively autocatalytic sets, formalized as RAF theory, and the other is chemical organization theory. Both formalisms have been argued to be relevant to the origin of life. RAF sets and chemical organizations are defined differently, but previously some relationships between the two have been shown. Here, we refine and explore these connections in more detail. In particular, we show that so-called closed RAFs are chemical organizations, but that the converse is not necessarily true. We then introduce and apply a procedure to show how chemical organizations can be used to find all closed RAFs within any chemical reaction system. We end with a discussion of why and how closed RAFs could be important in the context of the origin and early evolution of life.

  12. Effect and Analysis of Sustainable Cell Rate using MPEG video Traffic in ATM Networks

    Directory of Open Access Journals (Sweden)

    Sakshi Kaushal

    2006-04-01

    Full Text Available The broadband networks inhibit the capability to carry multiple types of traffic – voice, video and data, but these services need to be controlled according to the traffic contract negotiated at the time of the connection to maintain desired Quality of service. Such control techniques use traffic descriptors to evaluate its performance and effectiveness. In case of Variable Bit Rate (VBR services, Peak Cell Rate (PCR and its Cell Delay Variation Tolerance (CDVTPCR are mandatory descriptors. In addition to these, ATM Forum proposed Sustainable Cell Rate (SCR and its Cell delay variation tolerance (CDVTSCR. In this paper, we evaluated the impact of specific SCR and CDVTSCR values on the Usage Parameter Control (UPC performance in case of measured MPEG traffic for improving the efficiency

  13. Optimization and Simulation of Collaborative Networks for Sustainable Production and Transportation

    DEFF Research Database (Denmark)

    Liotta, Giacomo; Kaihara, Toshiya; Stecca, Giuseppe

    2016-01-01

    Complex and delocalized manufacturing industries require high levels of integration between production and transportation in order to effectively implement lean and agile operations. There are, however, limitations in research and applications simultaneously embodying further sustainability...... dimensions. This paper presents a methodological framework based on optimization and simulation to integrate aggregate optimized plans for production and multimodal transportation with detailed dynamic distribution plans affected by demand uncertainty. The objective function of the optimization model...... considers supply, production, transportation, and CO2 emission costs, as well as collaboration over the multimodal network. Bill-of-materials and capacity constraints are included. A feedback between simulation and optimization is used to plan requirements for materials and components. Computational...

  14. Water Information as a Tool to Enhance Sustainable Water Management—The Australian Experience

    Directory of Open Access Journals (Sweden)

    James Horne

    2015-05-01

    Full Text Available Many countries and regions have struggled to put in place adequate water information systems to assist with sustainable water management. This article describes and assesses the key components of Australia’s water information and data systems, with particular reference to rural and regional Australia, focusing on progress with strengthening these systems at a national level since 2007. Through the early part of the period, much of Australia was experiencing a crisis in water availability. The article concludes with ongoing challenges for Australia and lessons from the Australian experience for other countries embarking on upgrading their water information and data systems. Upgrading a nation’s water information systems is a long-term task, but an important one in a world of climate change and increased climate variability. Substantial progress is likely to take five to 10 years to materialize. From the outset, upgrading information systems needs to be focused on data series that will facilitate answering key policy questions, assist water users in making significant decisions more effectively, and allow businesses and government to better address risks from water-related events. As always, political support matters. To sustain investments in information, its coverage must facilitate illuminating key questions and issues. Custodians of information systems must ensure that the value proposition is clear to all.

  15. METHODS OF TEXT INFORMATION CLASSIFICATION ON THE BASIS OF ARTIFICIAL NEURAL AND SEMANTIC NETWORKS

    OpenAIRE

    L. V. Serebryanaya; V. V. Potaraev

    2016-01-01

    The article covers the use of perseptron, Hopfild artificial neural network and semantic network for classification of text information. Network training algorithms are studied. An algorithm of inverse mistake spreading for perceptron network and convergence algorithm for Hopfild network are implemented. On the basis of the offered models and algorithms automatic text classification software is developed and its operation results are evaluated.

  16. Ubiquitous Integrity via Network Integration and Parallelism—Sustaining Pedestrian/Bike Urbanism

    Directory of Open Access Journals (Sweden)

    Li-Yen Hsu

    2013-08-01

    Full Text Available Nowadays, due to the concern regarding environmental issues, establishing pedestrian/bike friendly urbanism is widely encouraged. To promote safety-assured, mobile communication environments, efficient, reliable maintenance, and information integrity need to be designed, especially in highly possibly interfered places. For busy traffic areas, regular degree-3 dedicated short range communication (DSRC networks are safety and information featured with availability, reliability, and maintainability in paths of multi-lanes. For sparsely populated areas, probes of wireless sensors are rational, especially if sensor nodes can be organized to enhance security, reliability, and flexibility. Applying alternative network topologies, such as spider-webs, generalized honeycomb tori, and cube-connected cycles, for comparing and analyzing is proposed in DSRC and cellular communications to enhance integrity in communications.

  17. Geosciences Information Network (GIN): A modular, distributed, interoperable data network for the geosciences

    Science.gov (United States)

    Allison, M.; Gundersen, L. C.; Richard, S. M.; Dickinson, T. L.

    2008-12-01

    A coalition of the state geological surveys (AASG), the U.S. Geological Survey (USGS), and partners will receive NSF funding over 3 years under the INTEROP solicitation to start building the Geoscience Information Network (www.geoinformatics.info/gin) a distributed, interoperable data network. The GIN project will develop standardized services to link existing and in-progress components using a few standards and protocols, and work with data providers to implement these services. The key components of this network are 1) catalog system(s) for data discovery; 2) service definitions for interfaces for searching catalogs and accessing resources; 3) shared interchange formats to encode information for transmission (e.g. various XML markup languages); 4) data providers that publish information using standardized services defined by the network; and 5) client applications adapted to use information resources provided by the network. The GIN will integrate and use catalog resources that currently exist or are in development. We are working with the USGS National Geologic Map Database's existing map catalog, with the USGS National Geological and Geophysical Data Preservation Program, which is developing a metadata catalog (National Digital Catalog) for geoscience information resource discovery, and with the GEON catalog. Existing interchange formats will be used, such as GeoSciML, ChemML, and Open Geospatial Consortium sensor, observation and measurement MLs. Client application development will be fostered by collaboration with industry and academic partners. The GIN project will focus on the remaining aspects of the system -- service definitions and assistance to data providers to implement the services and bring content online - and on system integration of the modules. Initial formal collaborators include the OneGeology-Europe consortium of 27 nations that is building a comparable network under the EU INSPIRE initiative, GEON, Earthchem, and GIS software company ESRI

  18. Managers look to the social network to seek information

    Directory of Open Access Journals (Sweden)

    Mckenzie M.L.

    2005-01-01

    Full Text Available Introduction. The purpose of this study was to explore how managers selected individuals to serve as information sources. The social context of a for-profit business environment offered opportunity to study information seeking among interacting line managers. Method. The qualitative methods of social network mapping and interview were used to capture the data. The study was conducted within a stand-alone business unit of a major US-based corporation. A total of 22 line-managers participated in the study. Analysis. Content analysis was selected as the data analysis technique. The elements of interest were the themes within the data. Open coding was used to interrogate the data to ensure a systematic approach so that future researchers can replicate the process. Results. Relationship, more than knowledge, can be the reason a line-manager is sought as an information source. In addition to relationship, an individual manager’s knowledge, communication behaviour, cognitive style, and cognitive ability play an influencing role in being selected as an information source. Conclusion. The non-hierarchical flow of information among managers and the reasons managers seek others as information sources further differentiates line-managers as a unique information user group

  19. Taste masking of ofloxacin and formation of interpenetrating polymer network beads for sustained release

    Directory of Open Access Journals (Sweden)

    A. Michael Rajesh

    2017-08-01

    Full Text Available The objective of this study was to carry out taste masking of ofloxacin (Ofl by ion exchange resins (IERs followed by sustained release of Ofl by forming interpenetrating polymer network (IPN beads. Drug-resin complexes (DRCs with three different ratios of Ofl to IERs (1:1, 1:2, 1:4 were prepared by batch method and investigated for in vivo and in vitro taste masking. DRC of methacrylic acid-divinyl benzene (MD resin and Ofl prepared at a ratio of 1:4 was used to form IPN beads. IPN beads of MD 1:4 were prepared by following the ionic cross-linking method using sodium carboxymethyl xanthan gum (SCMXG and SCMXG-sodium carboxymethyl cellulose (SCMXG-SCMC. IPN beads were characterized with FT-IR and further studied on sustained release of Ofl at different pH. In vivo taste masking carried out by human volunteers showed that MD 1:4 significantly reduced the bitterness of Ofl. Characterization studies such as FT-IR, DSC, P-XRD and taste masking showed that complex formation took place between drug and resin. In vitro study at gastric pH showed complete release of drug from MD 1:4 within 30 min whereas IPN beads took 5 h at gastric pH and 10 h at salivary pH for the complete release of drug. As the crosslinking increased the release kinetics changed into non-Fickian diffusion to zero-order release mechanism. MD 1:4 showed better performance for the taste masking of Ofl and IPNs beads prepared from it were found useful for the sustained release of Ofl at both the pH, indicating a versatile drug delivery system.

  20. Effective connectivity of ascending and descending frontal-thalamic pathways during sustained attention: Complex brain network interactions in adolescence

    OpenAIRE

    Jagtap, Pranav; Diwadkar, Vaibhav A.

    2016-01-01

    Frontal-thalamic interactions are crucial for bottom-up gating and top-down control, yet have not been well studied from brain network perspectives. We applied network modeling of fMRI signals (Dynamic Causal Modeling; DCM) to investigate frontal-thalamic interactions during an attention task with parametrically varying levels of demand. fMRI was collected while subjects participated in a sustained continuous performance task with low and high attention demands. 162 competing model architectu...

  1. 32 CFR 2001.50 - Telecommunications automated information systems and network security.

    Science.gov (United States)

    2010-07-01

    ... and network security. 2001.50 Section 2001.50 National Defense Other Regulations Relating to National Defense INFORMATION SECURITY OVERSIGHT OFFICE, NATIONAL ARCHIVES AND RECORDS ADMINISTRATION CLASSIFIED... network security. Each agency head shall ensure that classified information electronically accessed...

  2. Generation of a superposition of odd photon number states for quantum information networks

    DEFF Research Database (Denmark)

    Neergaard-Nielsen, Jonas Schou; Nielsen, B.; Hettich, C.

    2006-01-01

    Quantum information networks, quantum memories, quantum repeaters, linear optics quantum computers Udgivelsesdato: 25 August......Quantum information networks, quantum memories, quantum repeaters, linear optics quantum computers Udgivelsesdato: 25 August...

  3. TCP flow control using link layer information in mobile networks

    Science.gov (United States)

    Koga, Hiroyuki; Kawahara, Kenji; Oie, Yuji

    2002-07-01

    Mobile Networks have been expanding and IMT-2000 further increases their available bandwidth over wireless links. However, TCP, which is a reliable end-to-end transport protocol, is tuned to perform well in wired networks where bit error rates are very low and packet loss occurs mostly because of congestion. Although a TCP sender can execute flow control to utilize as much available bandwidth as possible in wired networks, it cannot work well in wireless networks characterized by high bit error rates. In the next generation mobile systems, sophisticated error recovery technologies of FEC and ARQ are indeed employed over wireless links, i.e., over Layer 2, to avoid performance degradation of upper layers. However, multiple retransmissions by Layer 2 ARQ can adversely increase transmission delay of TCP segments, which will further make TCP unnecessarily increase RTO (Retransmission TimeOut). Furthermore, a link bandwidth assigned to TCP flows can change in response to changing air conditions to use wireless links efficiently. TCP thus has to adapt its transmission rate according to the changing available bandwidth. The major goal of this study is to develop a receiver-based effective TCP flow control without any modification on TCP senders, which are probably connected with wired networks. For this end, we propose a TCP flow control employing some Layer 2 information on a wireless link at the mobile station. Our performance evaluation of the proposed TCP shows that the receiver-based TCP flow control can moderate the performance degradation very well even if FER on Layer 2 is high.

  4. Apoptosis, neurogenesis, and information content in Hebbian networks.

    Science.gov (United States)

    Crick, Christopher; Miranker, Willard

    2006-01-01

    The functional significance of alternate forms of plasticity in the brain (such as apoptosis and neurogenesis) is not easily observable with biological methods. Employing Hebbian dynamics for synaptic weight development, a three-layer neural network model of the hippocampus is used to simulate nonsupervised (autonomous) learning in the context of apoptosis and neurogenesis. This learning is applied to the characters of a pair of related alphabets, first the Roman and then the Greek, resulting in a set of encodings endogenously developed by the network. The learning performance takes the form of a U-shaped curve, showing that apoptosis and neurogenesis favorably inform memory development. We also discover that networks that converge very quickly on the Roman alphabet take much longer to handle the Greek, while networks which converge over an extended timeframe can then adapt very quickly to the new language. We find that the effect becomes increasingly pronounced as the number of neurons in the dentate gyrus layer decreases, and identify a strong correlation between cases where the Roman alphabet is quickly learned and cases where a few neurons saturate many of their weights almost immediately, minimizing participation of other neurons. Cases where learning the Roman alphabet requires more time lead to larger numbers of neurons participating with a larger diversity in synaptic weights. We present an information-theoretic argument about why this implies a better, more flexible learning system and why it leads to faster subsequent correlated Greek alphabet learning, and propose that the reason that apoptosis and neurogenesis work is that they promote this effect.

  5. Network Intelligence Based on Network State Information for Connected Vehicles Utilizing Fog Computing

    Directory of Open Access Journals (Sweden)

    Seongjin Park

    2017-01-01

    Full Text Available This paper proposes a method to take advantage of fog computing and SDN in the connected vehicle environment, where communication channels are unstable and the topology changes frequently. A controller knows the current state of the network by maintaining the most recent network topology. Of all the information collected by the controller in the mobile environment, node mobility information is particularly important. Thus, we divide nodes into three classes according to their mobility types and use their related attributes to efficiently manage the mobile connections. Our approach utilizes mobility information to reduce control message overhead by adjusting the period of beacon messages and to support efficient failure recovery. One is to recover the connection failures using only mobility information, and the other is to suggest a real-time scheduling algorithm to recover the services for the vehicles that lost connection in the case of a fog server failure. A real-time scheduling method is first described and then evaluated. The results show that our scheme is effective in the connected vehicle environment. We then demonstrate the reduction of control overhead and the connection recovery by using a network simulator. The simulation results show that control message overhead and failure recovery time are decreased by approximately 55% and 5%, respectively.

  6. Monitoring and information reporting for sustainable forest management: a regional comparison of forestry stakeholder perceptions.

    Science.gov (United States)

    Hickey, Gordon M; Innes, John L; Kozak, Robert A

    2007-09-01

    Since the United Nations Conference on Environment and Development (UNCED) [1992, Agenda 21: programme of action for sustainable development. United Nations Conference on Environment and Development (UNCED), 3-14 June 1992. Rio de Janeiro, Brazil, 294pp.], the management of information has become central to the management of forest resources. In the cases of North America and Europe, similar issues have been challenging policy makers as they determine the information suitable for monitoring progress towards sustainable forest management (SFM). Using an 'online' survey, this research explored multiple stakeholder perspectives on monitoring and information reporting for SFM in different jurisdictions. The research was based on the premise that an analysis of the variation in stakeholder observations across a range of SFM 'issue areas' could provide valuable insight into the perceived need for SFM-related monitoring and information reporting in the regions of Europe, Canada and the USA. Despite the traditional limitations associated with exploratory survey research, the results indicate a demand for more information on SFM-related issues. The results also highlight the degree to which the perceptions of a sample of stakeholders can differ between Europe, USA and Canada. While these results cannot be generalized beyond the present study, they do suggest that further studies are needed to understand stakeholder perspectives on forestry-related monitoring and information reporting in different jurisdictions.

  7. Cancer classification: Mutual information, target network and strategies of therapy.

    Science.gov (United States)

    Hsu, Wen-Chin; Liu, Chan-Cheng; Chang, Fu; Chen, Su-Shing

    2012-10-02

    Cancer therapy is a challenging research area because side effects often occur in chemo and radiation therapy. We intend to study a multi-targets and multi-components design that will provide synergistic results to improve efficiency of cancer therapy. We have developed a general methodology, AMFES (Adaptive Multiple FEature Selection), for ranking and selecting important cancer biomarkers based on SVM (Support Vector Machine) classification. In particular, we exemplify this method by three datasets: a prostate cancer (three stages), a breast cancer (four subtypes), and another prostate cancer (normal vs. cancerous). Moreover, we have computed the target networks of these biomarkers as the signatures of the cancers with additional information (mutual information between biomarkers of the network). Then, we proposed a robust framework for synergistic therapy design approach which includes varies existing mechanisms. These methodologies were applied to three GEO datasets: GSE18655 (three prostate stages), GSE19536 (4 subtypes breast cancers) and GSE21036 (prostate cancer cells and normal cells) shown in. We selected 96 biomarkers for first prostate cancer dataset (three prostate stages), 72 for breast cancer (luminal A vs. luminal B), 68 for breast cancer (basal-like vs. normal-like), and 22 for another prostate cancer (cancerous vs. normal. In addition, we obtained statistically significant results of mutual information, which demonstrate that the dependencies among these biomarkers can be positive or negative. We proposed an efficient feature ranking and selection scheme, AMFES, to select an important subset from a large number of features for any cancer dataset. Thus, we obtained the signatures of these cancers by building their target networks. Finally, we proposed a robust framework of synergistic therapy for cancer patients. Our framework is not only supported by real GEO datasets but also aim to a multi-targets/multi-components drug design tool, which improves

  8. A survey of trust, control and information in networks

    DEFF Research Database (Denmark)

    Jakobsen, Morten

    This paper focuses on which characteristics managers take into account when they choose and evaluate business partners, and the interrelationship between the constructs trust, control and information. The paper is based on a survey which includes 101 small and middle-sized manufacturing companies...... in Denmark. The results show that managers frequently express that trust is an important aspect of a good relationship. Also product-related attributes and relational attributes have a bearing in a network setting. On the other hand, no significant correlation between neither trust and control nor trust...

  9. Information Extraction from Wireless Sensor Networks: System and Approaches

    Directory of Open Access Journals (Sweden)

    Tariq ALSBOUI

    2012-03-01

    Full Text Available Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN. The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care. WSN Information Extraction (IE techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridization and adaptation of IE mechanisms.

  10. 75 FR 44800 - Notice of Meeting of the Homeland Security Information Network Advisory Committee, Tuesday...

    Science.gov (United States)

    2010-07-29

    ... SECURITY Notice of Meeting of the Homeland Security Information Network Advisory Committee, Tuesday, August... meeting. SUMMARY: The Homeland Security Information Network Advisory Committee (HSINAC) will meet from... Homeland Security Information Network Advisory Committee is to identify issues and provide to senior...

  11. 47 CFR 64.2011 - Notification of customer proprietary network information security breaches.

    Science.gov (United States)

    2010-10-01

    ... Proprietary Network Information § 64.2011 Notification of customer proprietary network information security... 47 Telecommunication 3 2010-10-01 2010-10-01 false Notification of customer proprietary network information security breaches. 64.2011 Section 64.2011 Telecommunication FEDERAL COMMUNICATIONS COMMISSION...

  12. 78 FR 34665 - Homeland Security Information Network Advisory Committee (HSINAC); Meeting

    Science.gov (United States)

    2013-06-10

    ... SECURITY Homeland Security Information Network Advisory Committee (HSINAC); Meeting AGENCY: OPS/OCIO, DHS... Security Information Network Advisory Committee (HSINAC) will meet on Tuesday, June 25th, 2013 from 1 p.m...: http://www.dhs.gov/homeland-security-information-network-advisory-committee . There is a meeting room...

  13. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics.

    Science.gov (United States)

    1987-10-01

    include Security Classification) Instrumentation for scientific computing in neural networks, information science, artificial intelligence, and...instrumentation grant to purchase equipment for support of research in neural networks, information science, artificail intellignece , and applied mathematics...in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics Contract AFOSR 86-0282 Principal Investigator: Stephen

  14. Perfect DiViSy technology for video network in medicine (Moscow Information Network for Teleoncology).

    Science.gov (United States)

    Vorozhtcov, G; Chissov, V; Danilov, A; Kazinov, V; Sokolov, V; Frank, G

    1999-01-01

    A large telemedicine project is now under development in Moscow. The general task of the project is to link oncology research centres and hospitals meeting the project profile, and to provide on-line (using real-time video conferences) and off-line (via distributed database of medical information) information exchange. There was no existing technology available for use at the project's base which was ready to meet all requirements, so we are using specially created technology for video networks (DiViSy V.97). We suppose this technology to be more applicable for use in telemedicine networks than are business video conference technologies and classical Internet/Intranet technologies. We affirm in our conclusion that now is the time for developing special telemedicine standards, recommendations of compatibility, etc., and that we are ready to take part in this process.

  15. Interactions between Niche and Regime: An Analysis of Learning and Innovation Networks for Sustainable Agriculture across Europe

    Science.gov (United States)

    Ingram, Julie; Maye, Damian; Kirwan, James; Curry, Nigel; Kubinakova, Katarina

    2015-01-01

    Purpose: This paper aims to reveal, and contribute to an understanding of, the processes that connect learning and innovation networks in sustainable agriculture to elements of the mainstream agricultural regime. Drawing on the innovations and transition literature, the paper frames the analysis around niche-regime interaction using the notion of…

  16. Informal Networks and Start-Up Entrepreneurs in Spain: Networking Other Entrepreneurs and Angel Investors

    OpenAIRE

    Aliaga Isla, Rocio

    2014-01-01

    This paper contributes by containing an examination of the impact of informal networks, such as personally knowing other entrepreneurs and having access to business angel investors, have upon start-up entrepreneurs in Spain. In addition, a pseudo-panel approach is used with micro data from the Spanish Global Entrepreneurship Monitor (GEM) adult population survey over the period 2006-2009. This technique overcomes limitations found when using cross-sectional data. Moreover, this includes a sho...

  17. Game-Theoretic Models of Information Overload in Social Networks

    Science.gov (United States)

    Borgs, Christian; Chayes, Jennifer; Karrer, Brian; Meeder, Brendan; Ravi, R.; Reagans, Ray; Sayedi, Amin

    We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition between celebrities producing updates in such networks where users non-strategically choose a subset of celebrities to follow based on the utility derived from high quality updates as well as disutility derived from having to wade through too many updates. Our two variants model the two behaviors of users dropping some potential connections (followership model) or leaving the network altogether (engagement model). We show that under a simple formulation of celebrity rate competition, there is no pure strategy Nash equilibrium under the first model. We then identify special cases in both models when pure rate equilibria exist for the celebrities: For the followership model, we show existence of a pure rate equilibrium when there is a global ranking of the celebrities in terms of the quality of their updates to users. This result also generalizes to the case when there is a partial order consistent with all the linear orders of the celebrities based on their qualities to the users. Furthermore, these equilibria can be computed in polynomial time. For the engagement model, pure rate equilibria exist when all users are interested in the same number of celebrities, or when they are interested in at most two. Finally, we also give a finite though inefficient procedure to determine if pure equilibria exist in the general case of the followership model.

  18. Clustering and information in correlation based financial networks

    Science.gov (United States)

    Onnela, J.-P.; Kaski, K.; Kertész, J.

    2004-03-01

    Networks of companies can be constructed by using return correlations. A crucial issue in this approach is to select the relevant correlations from the correlation matrix. In order to study this problem, we start from an empty graph with no edges where the vertices correspond to stocks. Then, one by one, we insert edges between the vertices according to the rank of their correlation strength, resulting in a network called asset graph. We study its properties, such as topologically different growth types, number and size of clusters and clustering coefficient. These properties, calculated from empirical data, are compared against those of a random graph. The growth of the graph can be classified according to the topological role of the newly inserted edge. We find that the type of growth which is responsible for creating cycles in the graph sets in much earlier for the empirical asset graph than for the random graph, and thus reflects the high degree of networking present in the market. We also find the number of clusters in the random graph to be one order of magnitude higher than for the asset graph. At a critical threshold, the random graph undergoes a radical change in topology related to percolation transition and forms a single giant cluster, a phenomenon which is not observed for the asset graph. Differences in mean clustering coefficient lead us to conclude that most information is contained roughly within 10% of the edges.

  19. Community-based health information technology alliances: potential predictors of early sustainability.

    Science.gov (United States)

    Kern, Lisa M; Wilcox, Adam B; Shapiro, Jason; Yoon-Flannery, Kahyun; Abramson, Erika; Barron, Yolanda; Kaushal, Rainu

    2011-04-01

    To determine potential predictors of sustainability among community-based organizations that are implementing health information technology (HIT) with health information exchange, in a state with significant funding of such organizations. A longitudinal cohort study of community-based organizations funded through the first phase of the $440 million Healthcare Efficiency and Affordability Law for New Yorkers program. We administered a baseline telephone survey in January and February 2007, using a novel instrument with open-ended questions, and collected follow-up data from the New York State Department of Health regarding subsequent funding awarded in March 2008. We used logistic regression to determine associations between 18 organizational characteristics and subsequent funding. All 26 organizations (100%) responded. Having the alliance led by a health information organization (odds ratio [OR] 11.4, P = .01) and having performed a community-based needs assessment (OR 5.1, P = .08) increased the unadjusted odds of subsequent funding. Having the intervention target the long-term care setting (OR 0.14, P = .03) decreased the unadjusted odds of subsequent funding. In the multivariate model, having the alliance led by a health information organization, rather than a healthcare organization, increased the odds of subsequent funding (adjusted OR 6.4; 95% confidence interval 0.8, 52.6; P = .08). Results from this longitudinal study suggest that both health information organizations and healthcare organizations are needed for sustainable HIT transformation.

  20. THE INFORMATIONAL SYSTEM FOR THE COLLABORATIVE LOGISTICS NETWORKS

    Directory of Open Access Journals (Sweden)

    NAIANA ŢARCĂ

    2011-01-01

    Full Text Available This paper presents an informatic system designed for collaborative logistic networks. The informational system is composed of structured informational modules that can easily be modified in order to facilitate the testing of the different algorithms that are being used. The informational system has two components, in the form of web application modules, which are connected to the user-specific modules (THE CLIENT WEB APPLICATION and to the server-specific modules (THE SERVER WEB APPLICATION, respectively. These two modules operate the transmission of information, the demands of the client and the offers generated by the server. The designed informational system has been tested in actual operating conditions, by co-optating ten EMSs from the Bihor county area. Some of the elements considered positive by the users, in the testing period, were: usability, the automatic assignment of a motor vehicle according to the characteristics of the product, the automatic route generation, the selection of goods according to the cluster “route” of the system.