WorldWideScience

Sample records for collective io model

  1. Collective I/O Tuning Using Analytical and Machine-Learning Models

    Energy Technology Data Exchange (ETDEWEB)

    Isaila, Florin; Balaprakash, Prasanna; Wild, Stefan M.; Kimpe, Dries; Latham, Rob; Ross, Rob; Hovland, Paul

    2015-01-01

    The ever larger demand of scientific applications for computation and data is currently driving a continuous increase in scale of parallel computers. The inherent complexity of scaling up a computing systems in terms of both hardware and software stack exposes an increasing number of factors impacting the performance and complicating the process of optimization. In particular, the optimization of parallel I/O has become increasingly challenging due to increasing storage hierarchy and well known performance variability of shared storage systems. This paper focuses on model-based autotuning of the two-phase collective I/O algorithm from a popular MPI distribution on the Blue Gene/Q architecture. We propose a novel hybrid model, constructed as a composition of analytical models for communication and storage operations and black-box models for the performance of the individual operations. We perform an in-depth study of the complexity involved in performance modeling including architecture, software stack and noise. In particular we address this challenges of modeling the performance of shared storage systems by building a benchmark that helps synthesizing factors such as topology, file caching, and noise. The experimental results show that the hybrid approach produces significantly better results than state-of-the-art machine learning approaches and shows a higher robustness to noise, at the cost of a higher modeling complexity

  2. Modeling Ultraviolet Emissions Near Io

    Science.gov (United States)

    Linker, Jon A.

    2000-01-01

    In this report, we describe work awarded to Science Applications International Corporation, for the period 6/l/99 to 5/31/00. During this time period, we have investigated the interaction of Io, Jupiter's innermost Galilean satellite, with the Io plasma torus, and the role this interaction plays in producing ultraviolet (UV) emissions from neutral oxygen and sulfur. Io, the innermost of Jupiter's Galilean satellites, plays a unique role in the jovian magnetosphere. Neutral material that escapes from Io is ionized to form the lo torus, a dense, heavy-ion plasma that corotates with Jupiter and interacts with Io. Io supplies not only the torus, but is a major source of plasma for the entire magnetosphere. Ionization and charge-exchange of neutrals near lo strongly influences the plasma interaction, and Io's neutral atmosphere plays an important role in the generation of currents that couple Io to Jupiter. There have been no in situ measurements of the neutral density near Io, but remote observations of neutrals near lo have been performed for many years. Recent observations from the Hubble Space Telescope (HST) have shown detailed structure in UV emissions from neutral species near Io. Electron-impact of the neutrals by the Io torus plasma is the primary mechanism responsible for exciting these emissions. Previously, we have modeled the Io plasma environment using three-dimensional magnetohydrodynamic (MHD) simulations, and we have shown that the interaction between Io and the plasma torus plays an important role in producing the morphology of the observed emissions. In the past year, we have extended these studies to use both UV observations and Galileo particle and field measurements to investigate the Io interaction.

  3. Energy-Neutral Data Collection Rate Control for IoT Animal Behavior Monitors

    Directory of Open Access Journals (Sweden)

    Jay Wilhelm

    2017-11-01

    Full Text Available Energy-neutral operation (ENO is a major concern for Internet of things (IoT sensor systems. Animals can be tagged with IoT sensors to monitor their movement and behavior. These sensors wirelessly upload collected data and can receive parameters to change their operation. Typically, the behavior monitors are powered by a battery where the system relies upon harvesting solar radiation for sustainable operation. Solar panels typically are used as the harvesting mechanism and can have a level of uncertainty regarding consistent energy delivery due to factors such as adverse weather, foliage, time of day, and individual animal behavior. The variability of available energy inevitably creates a trade-off in the rate at which data can be collected with respect to incoming and stored energy. The objective of this research was to investigate and simulate methods and parameters that can control the data collection rate of an IoT behavior monitor to achieve sustained operation with unknown and random energy harvesting. Analysis and development of a control system were performed by creating a software model of energy consumption and then simulating using different initial conditions and random energy harvesting rates for evaluation. The contribution of this effort was the exploration into the usage of a discrete-time gain scheduled Proportional–Integral–Derivative (PID that was tuned to a specific device configuration, using battery state of charge as an input, and found to maintain a battery level set-point, reject small solar harvesting energy disturbances, and maintain a consistent data collection rate throughout the day.

  4. Development of Parkinson Patient Generated Data Collection Platform Using FHIR and IoT Devices.

    Science.gov (United States)

    Kim, Dae-Young; Hwang, Sun-Ho; Kim, Min-Gyu; Song, Joon-Hyun; Lee, Sin-Woong; Kim, Il Kon

    2017-01-01

    Internet of Things (IoT) devices can be effectively used in cases where continuous observation of patients is required, such as Parkinson's disease. This is due to the characteristics of the IoT (Internet of Things), which allows data to be measured and transmitted at any time, anywhere. In this study, we developed a health data collection platform that stores and transmits the foot pressure data of Parkinson patients using FHIR (Fast Healthcare Interoperability Resources). The platform can be used to collect the foot pressure of a large number of Parkinson's patients. Based on the accumulated data, it is possible to identify abnormal behaviors such as walking pattern, tilt and instability of stride length in patients with Parkinson's disease. Based on the results of this study, accurate diagnosis and treatment of Parkinson's disease can be made.

  5. Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications

    Science.gov (United States)

    Orsino, Antonino; Araniti, Giuseppe; Militano, Leonardo; Alonso-Zarate, Jesus; Molinaro, Antonella; Iera, Antonio

    2016-01-01

    Fifth Generation (5G) wireless systems are expected to connect an avalanche of “smart” objects disseminated from the largest “Smart City” to the smallest “Smart Home”. In this vision, Long Term Evolution-Advanced (LTE-A) is deemed to play a fundamental role in the Internet of Things (IoT) arena providing a large coherent infrastructure and a wide wireless connectivity to the devices. However, since LTE-A was originally designed to support high data rates and large data size, novel solutions are required to enable an efficient use of radio resources to convey small data packets typically exchanged by IoT applications in “smart” environments. On the other hand, the typically high energy consumption required by cellular communications is a serious obstacle to large scale IoT deployments under cellular connectivity as in the case of Smart City scenarios. Network-assisted Device-to-Device (D2D) communications are considered as a viable solution to reduce the energy consumption for the devices. The particular approach presented in this paper consists in appointing one of the IoT smart devices as a collector of all data from a cluster of objects using D2D links, thus acting as an aggregator toward the eNodeB. By smartly adapting the Modulation and Coding Scheme (MCS) on the communication links, we will show it is possible to maximize the radio resource utilization as a function of the total amount of data to be sent. A further benefit that we will highlight is the possibility to reduce the transmission power when a more robust MCS is adopted. A comprehensive performance evaluation in a wide set of scenarios will testify the achievable gains in terms of energy efficiency and resource utilization in the envisaged D2D-based IoT data collection. PMID:27338385

  6. Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications

    Directory of Open Access Journals (Sweden)

    Antonino Orsino

    2016-06-01

    Full Text Available Fifth Generation (5G wireless systems are expected to connect an avalanche of “smart” objects disseminated from the largest “Smart City” to the smallest “Smart Home”. In this vision, Long Term Evolution-Advanced (LTE-A is deemed to play a fundamental role in the Internet of Things (IoT arena providing a large coherent infrastructure and a wide wireless connectivity to the devices. However, since LTE-A was originally designed to support high data rates and large data size, novel solutions are required to enable an efficient use of radio resources to convey small data packets typically exchanged by IoT applications in “smart” environments. On the other hand, the typically high energy consumption required by cellular communications is a serious obstacle to large scale IoT deployments under cellular connectivity as in the case of Smart City scenarios. Network-assisted Device-to-Device (D2D communications are considered as a viable solution to reduce the energy consumption for the devices. The particular approach presented in this paper consists in appointing one of the IoT smart devices as a collector of all data from a cluster of objects using D2D links, thus acting as an aggregator toward the eNodeB. By smartly adapting the Modulation and Coding Scheme (MCS on the communication links, we will show it is possible to maximize the radio resource utilization as a function of the total amount of data to be sent. A further benefit that we will highlight is the possibility to reduce the transmission power when a more robust MCS is adopted. A comprehensive performance evaluation in a wide set of scenarios will testify the achievable gains in terms of energy efficiency and resource utilization in the envisaged D2D-based IoT data collection.

  7. Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications.

    Science.gov (United States)

    Orsino, Antonino; Araniti, Giuseppe; Militano, Leonardo; Alonso-Zarate, Jesus; Molinaro, Antonella; Iera, Antonio

    2016-06-08

    Fifth Generation (5G) wireless systems are expected to connect an avalanche of "smart" objects disseminated from the largest "Smart City" to the smallest "Smart Home". In this vision, Long Term Evolution-Advanced (LTE-A) is deemed to play a fundamental role in the Internet of Things (IoT) arena providing a large coherent infrastructure and a wide wireless connectivity to the devices. However, since LTE-A was originally designed to support high data rates and large data size, novel solutions are required to enable an efficient use of radio resources to convey small data packets typically exchanged by IoT applications in "smart" environments. On the other hand, the typically high energy consumption required by cellular communications is a serious obstacle to large scale IoT deployments under cellular connectivity as in the case of Smart City scenarios. Network-assisted Device-to-Device (D2D) communications are considered as a viable solution to reduce the energy consumption for the devices. The particular approach presented in this paper consists in appointing one of the IoT smart devices as a collector of all data from a cluster of objects using D2D links, thus acting as an aggregator toward the eNodeB. By smartly adapting the Modulation and Coding Scheme (MCS) on the communication links, we will show it is possible to maximize the radio resource utilization as a function of the total amount of data to be sent. A further benefit that we will highlight is the possibility to reduce the transmission power when a more robust MCS is adopted. A comprehensive performance evaluation in a wide set of scenarios will testify the achievable gains in terms of energy efficiency and resource utilization in the envisaged D2D-based IoT data collection.

  8. 76 FR 56637 - Airworthiness Directives; Lycoming Engines Model IO-720-A1B Reciprocating Engines

    Science.gov (United States)

    2011-09-14

    ...-21-AD; Amendment 39-16791; AD 2011-18-09] RIN 2120-AA64 Airworthiness Directives; Lycoming Engines Model IO-720-A1B Reciprocating Engines AGENCY: Federal Aviation Administration (FAA), DOT. ACTION: Final... model IO-720-A1B Lycoming Engines reciprocating engines. This AD requires a crankshaft inspection for...

  9. IoT and Smart Cities: Modelling and Experimentation

    OpenAIRE

    Stajkic, Andrea

    2016-01-01

    Internet of Things (IoT) is a recent paradigm that envisions a near future, in which the objects of everyday life will communicate with one another and with the users, becoming an integral part of the Internet. The application of the IoT paradigm to an urban context is of particular interest, as it responds to the need to adopt ICT solutions in the city management, thus realizing the Smart City concept. Creating IoT and Smart City platforms poses many issues and challenges. Bui...

  10. Spatiotemporal Stochastic Modeling of IoT Enabled Cellular Networks: Scalability and Stability Analysis

    KAUST Repository

    Gharbieh, Mohammad

    2017-05-02

    The Internet of Things (IoT) is large-scale by nature, which is manifested by the massive number of connected devices as well as their vast spatial existence. Cellular networks, which provide ubiquitous, reliable, and efficient wireless access, will play fundamental rule in delivering the first-mile access for the data tsunami to be generated by the IoT. However, cellular networks may have scalability problems to provide uplink connectivity to massive numbers of connected things. To characterize the scalability of cellular uplink in the context of IoT networks, this paper develops a traffic-aware spatiotemporal mathematical model for IoT devices supported by cellular uplink connectivity. The developed model is based on stochastic geometry and queueing theory to account for the traffic requirement per IoT device, the different transmission strategies, and the mutual interference between the IoT devices. To this end, the developed model is utilized to characterize the extent to which cellular networks can accommodate IoT traffic as well as to assess and compare three different transmission strategies that incorporate a combination of transmission persistency, backoff, and power-ramping. The analysis and the results clearly illustrate the scalability problem imposed by IoT on cellular network and offer insights into effective scenarios for each transmission strategy.

  11. Semantic Model of Variability and Capabilities of IoT Applications for Embedded Software Ecosystems

    DEFF Research Database (Denmark)

    Tomlein, Matus; Grønbæk, Kaj

    2016-01-01

    have also identified a need to model their deployment topology and functionality in order to enable their seamless integration into the platform. In this paper, we draw from research in related fields and present a model of IoT applications. It is built using semantic annotations and uses semantic...... conclude that it is suitable for modeling applications in IoT software ecosystems since it is more adaptable and expressive than the alternatives....

  12. A Framework to Implement IoT Network Performance Modelling Techniques for Network Solution Selection

    Directory of Open Access Journals (Sweden)

    Declan T. Delaney

    2016-12-01

    Full Text Available No single network solution for Internet of Things (IoT networks can provide the required level of Quality of Service (QoS for all applications in all environments. This leads to an increasing number of solutions created to fit particular scenarios. Given the increasing number and complexity of solutions available, it becomes difficult for an application developer to choose the solution which is best suited for an application. This article introduces a framework which autonomously chooses the best solution for the application given the current deployed environment. The framework utilises a performance model to predict the expected performance of a particular solution in a given environment. The framework can then choose an apt solution for the application from a set of available solutions. This article presents the framework with a set of models built using data collected from simulation. The modelling technique can determine with up to 85% accuracy the solution which performs the best for a particular performance metric given a set of solutions. The article highlights the fractured and disjointed practice currently in place for examining and comparing communication solutions and aims to open a discussion on harmonising testing procedures so that different solutions can be directly compared and offers a framework to achieve this within IoT networks.

  13. A Framework to Implement IoT Network Performance Modelling Techniques for Network Solution Selection †

    Science.gov (United States)

    Delaney, Declan T.; O’Hare, Gregory M. P.

    2016-01-01

    No single network solution for Internet of Things (IoT) networks can provide the required level of Quality of Service (QoS) for all applications in all environments. This leads to an increasing number of solutions created to fit particular scenarios. Given the increasing number and complexity of solutions available, it becomes difficult for an application developer to choose the solution which is best suited for an application. This article introduces a framework which autonomously chooses the best solution for the application given the current deployed environment. The framework utilises a performance model to predict the expected performance of a particular solution in a given environment. The framework can then choose an apt solution for the application from a set of available solutions. This article presents the framework with a set of models built using data collected from simulation. The modelling technique can determine with up to 85% accuracy the solution which performs the best for a particular performance metric given a set of solutions. The article highlights the fractured and disjointed practice currently in place for examining and comparing communication solutions and aims to open a discussion on harmonising testing procedures so that different solutions can be directly compared and offers a framework to achieve this within IoT networks. PMID:27916929

  14. A Framework to Implement IoT Network Performance Modelling Techniques for Network Solution Selection.

    Science.gov (United States)

    Delaney, Declan T; O'Hare, Gregory M P

    2016-12-01

    No single network solution for Internet of Things (IoT) networks can provide the required level of Quality of Service (QoS) for all applications in all environments. This leads to an increasing number of solutions created to fit particular scenarios. Given the increasing number and complexity of solutions available, it becomes difficult for an application developer to choose the solution which is best suited for an application. This article introduces a framework which autonomously chooses the best solution for the application given the current deployed environment. The framework utilises a performance model to predict the expected performance of a particular solution in a given environment. The framework can then choose an apt solution for the application from a set of available solutions. This article presents the framework with a set of models built using data collected from simulation. The modelling technique can determine with up to 85% accuracy the solution which performs the best for a particular performance metric given a set of solutions. The article highlights the fractured and disjointed practice currently in place for examining and comparing communication solutions and aims to open a discussion on harmonising testing procedures so that different solutions can be directly compared and offers a framework to achieve this within IoT networks.

  15. (a,k)-Anonymous Scheme for Privacy-Preserving Data Collection in IoT-based Healthcare Services Systems.

    Science.gov (United States)

    Li, Hongtao; Guo, Feng; Zhang, Wenyin; Wang, Jie; Xing, Jinsheng

    2018-02-14

    The widely use of IoT technologies in healthcare services has pushed forward medical intelligence level of services. However, it also brings potential privacy threat to the data collection. In healthcare services system, health and medical data that contains privacy information are often transmitted among networks, and such privacy information should be protected. Therefore, there is a need for privacy-preserving data collection (PPDC) scheme to protect clients (patients) data. We adopt (a,k)-anonymity model as privacy pretection scheme for data collection, and propose a novel anonymity-based PPDC method for healthcare services in this paper. The threat model is analyzed in the client-server-to-user (CS2U) model. On client-side, we utilize (a,k)-anonymity notion to generate anonymous tuples which can resist possible attack, and adopt a bottom-up clustering method to create clusters that satisfy a base privacy level of (a 1 ,k 1 )-anonymity. On server-side, we reduce the communication cost through generalization technology, and compress (a 1 ,k 1 )-anonymous data through an UPGMA-based cluster combination method to make the data meet the deeper level of privacy (a 2 ,k 2 )-anonymity (a 1  ≥ a 2 , k 2  ≥ k 1 ). Theoretical analysis and experimental results prove that our scheme is effective in privacy-preserving and data quality.

  16. Capability-based Access Control Delegation Model on the Federated IoT Network

    DEFF Research Database (Denmark)

    Anggorojati, Bayu; Mahalle, Parikshit N.; Prasad, Neeli R.

    2012-01-01

    Flexibility is an important property for general access control system and especially in the Internet of Things (IoT), which can be achieved by access or authority delegation. Delegation mechanisms in access control that have been studied until now have been intended mainly for a system that has...... no resource constraint, such as a web-based system, which is not very suitable for a highly pervasive system such as IoT. To this end, this paper presents an access delegation method with security considerations based on Capability-based Context Aware Access Control (CCAAC) model intended for federated...... machine-to-machine communication or IoT networks. The main idea of our proposed model is that the access delegation is realized by means of a capability propagation mechanism, and incorporating the context information as well as secure capability propagation under federated IoT environments. By using...

  17. Tractable Stochastic Geometry Model for IoT Access in LTE Networks

    KAUST Repository

    Gharbieh, Mohammad

    2017-02-07

    The Internet of Things (IoT) is large-scale by nature. This is not only manifested by the large number of connected devices, but also by the high volumes of traffic that must be accommodated. Cellular networks are indeed a natural candidate for the data tsunami the IoT is expected to generate in conjunction with legacy human-type traffic. However, the random access process for scheduling request represents a major bottleneck to support IoT via LTE cellular networks. Accordingly, this paper develops a mathematical framework to model and study the random access channel (RACH) scalability to accommodate IoT traffic. The developed model is based on stochastic geometry and discrete time Markov chains (DTMC) to account for different access strategies and possible sources of inter-cell and intra-cell interferences. To this end, the developed model is utilized to assess and compare three different access strategies, which incorporate a combination of transmission persistency, back-off, and power ramping. The analysis and the results showcased herewith clearly illustrate the vulnerability of the random access procedure as the IoT intensity grows. Finally, the paper offers insights into effective scenarios for each transmission strategy in terms of IoT intensity and RACH detection thresholds.

  18. Futures Business Models for an IoT Enabled Healthcare Sector: A Causal Layered Analysis Perspective

    Directory of Open Access Journals (Sweden)

    Julius Francis Gomes

    2016-12-01

    Full Text Available Purpose: To facilitate futures business research by proposing a novel way to combine business models as a conceptual tool with futures research techniques. Design: A futures perspective is adopted to foresight business models of the Internet of Things (IoT enabled healthcare sector by using business models as a futures business research tool. In doing so, business models is coupled with one of the most prominent foresight methodologies, Causal Layered Analysis (CLA. Qualitative analysis provides deeper understanding of the phenomenon through the layers of CLA; litany, social causes, worldview and myth. Findings: It is di cult to predict the far future for a technology oriented sector like healthcare. This paper presents three scenarios for short-, medium- and long-term future. Based on these scenarios we also present a set of business model elements for different future time frames. This paper shows a way to combine business models with CLA, a foresight methodology; in order to apply business models in futures business research. Besides offering early results for futures business research, this study proposes a conceptual space to work with individual business models for managerial stakeholders. Originality / Value: Much research on business models has offered conceptualization of the phenomenon, innovation through business model and transformation of business models. However, existing literature does not o er much on using business model as a futures research tool. Enabled by futures thinking, we collected key business model elements and building blocks for the futures market and ana- lyzed them through the CLA framework.

  19. IoT-Based User-Driven Service Modeling Environment for a Smart Space Management System

    Directory of Open Access Journals (Sweden)

    Hoan-Suk Choi

    2014-11-01

    Full Text Available The existing Internet environment has been extended to the Internet of Things (IoT as an emerging new paradigm. The IoT connects various physical entities. These entities have communication capability and deploy the observed information to various service areas such as building management, energy-saving systems, surveillance services, and smart homes. These services are designed and developed by professional service providers. Moreover, users’ needs have become more complicated and personalized with the spread of user-participation services such as social media and blogging. Therefore, some active users want to create their own services to satisfy their needs, but the existing IoT service-creation environment is difficult for the non-technical user because it requires a programming capability to create a service. To solve this problem, we propose the IoT-based user-driven service modeling environment to provide an easy way to create IoT services. Also, the proposed environment deploys the defined service to another user. Through the personalization and customization of the defined service, the value and dissemination of the service is increased. This environment also provides the ontology-based context-information processing that produces and describes the context information for the IoT-based user-driven service.

  20. IoT-based user-driven service modeling environment for a smart space management system.

    Science.gov (United States)

    Choi, Hoan-Suk; Rhee, Woo-Seop

    2014-11-20

    The existing Internet environment has been extended to the Internet of Things (IoT) as an emerging new paradigm. The IoT connects various physical entities. These entities have communication capability and deploy the observed information to various service areas such as building management, energy-saving systems, surveillance services, and smart homes. These services are designed and developed by professional service providers. Moreover, users' needs have become more complicated and personalized with the spread of user-participation services such as social media and blogging. Therefore, some active users want to create their own services to satisfy their needs, but the existing IoT service-creation environment is difficult for the non-technical user because it requires a programming capability to create a service. To solve this problem, we propose the IoT-based user-driven service modeling environment to provide an easy way to create IoT services. Also, the proposed environment deploys the defined service to another user. Through the personalization and customization of the defined service, the value and dissemination of the service is increased. This environment also provides the ontology-based context-information processing that produces and describes the context information for the IoT-based user-driven service.

  1. An IoT-Aware Architecture for Collecting and Managing Data Related to Elderly Behavior

    Directory of Open Access Journals (Sweden)

    Aitor Almeida

    2017-01-01

    Full Text Available The world population will be made up of a growing number of elderly people in the near future. Aged people are characterized by some physical and cognitive diseases, like mild cognitive impairment (MCI and frailty, that, if not timely diagnosed, could turn into more severe diseases, like Alzheimer disease, thus implying high costs for treatments and cares. Information and Communication Technologies (ICTs enabling the Internet of Things (IoT can be adopted to create frameworks for monitoring elderly behavior which, alongside normal clinical procedures, can help geriatricians to early detect behavioral changes related to such pathologies and to provide customized interventions. As part of the City4Age project, this work describes a novel approach for collecting and managing data about elderly behavior during their normal activities. The data capturing layer is an unobtrusive and low-cost sensing infrastructure abstracting the heterogeneity of physical devices, while the data management layer easily manages the huge quantity of sensed data, giving them semantic meaning and fostering data shareability. This work provides a functional validation of the proposed architecture and introduces how the data it manages can be used by the whole City4Age platform to early identify risks related to MCI/frailty and promptly intervene.

  2. Small-World and Scale-Free Network Models for IoT Systems

    Directory of Open Access Journals (Sweden)

    Insoo Sohn

    2017-01-01

    Full Text Available It is expected that Internet of Things (IoT revolution will enable new solutions and business for consumers and entrepreneurs by connecting billions of physical world devices with varying capabilities. However, for successful realization of IoT, challenges such as heterogeneous connectivity, ubiquitous coverage, reduced network and device complexity, enhanced power savings, and enhanced resource management have to be solved. All these challenges are heavily impacted by the IoT network topology supported by massive number of connected devices. Small-world networks and scale-free networks are important complex network models with massive number of nodes and have been actively used to study the network topology of brain networks, social networks, and wireless networks. These models, also, have been applied to IoT networks to enhance synchronization, error tolerance, and more. However, due to interdisciplinary nature of the network science, with heavy emphasis on graph theory, it is not easy to study the various tools provided by complex network models. Therefore, in this paper, we attempt to introduce basic concepts of graph theory, including small-world networks and scale-free networks, and provide system models that can be easily implemented to be used as a powerful tool in solving various research problems related to IoT.

  3. A Model of Socially Connected Web Objects for IoT Applications

    Directory of Open Access Journals (Sweden)

    Sajjad Ali

    2018-01-01

    Full Text Available The Internet of Things (IoT is evolving with the connected objects at an unprecedented rate, bringing about enormous opportunities for the future IoT applications as well as challenges. One of the major challenges is to handle the complexity generated by the interconnection of billions of objects. However, Social Internet of Things (SIoT, emerging from the conglomeration of IoT and social networks, has realized an efficient way to facilitate the development of complex future IoT applications. Nevertheless, to fully utilize the benefits of SIoT, a platform that can provide efficient services using social relations among heterogeneous objects is highly required. The web objects enabled IoT environment promotes SIoT features by enabling virtualization using virtual objects and supporting the modularity with microservices. To realize SIoT services, this article proposes an architecture that provides a foundation for the development of lightweight microservices based on socially connected web objects. To efficiently discover web objects and reduce the complexity of service provisioning processes, a social relationship model is presented. To realize the interoperable service operations, a semantic ontology model has been developed. Finally, to evaluate the proposed design, a prototype has been implemented based on a use case scenario.

  4. Spatiotemporal Access Model Based on Reputation for the Sensing Layer of the IoT

    Directory of Open Access Journals (Sweden)

    Yunchuan Guo

    2014-01-01

    Full Text Available Access control is a key technology in providing security in the Internet of Things (IoT. The mainstream security approach proposed for the sensing layer of the IoT concentrates only on authentication while ignoring the more general models. Unreliable communications and resource constraints make the traditional access control techniques barely meet the requirements of the sensing layer of the IoT. In this paper, we propose a model that combines space and time with reputation to control access to the information within the sensing layer of the IoT. This model is called spatiotemporal access control based on reputation (STRAC. STRAC uses a lattice-based approach to decrease the size of policy bases. To solve the problem caused by unreliable communications, we propose both nondeterministic authorizations and stochastic authorizations. To more precisely manage the reputation of nodes, we propose two new mechanisms to update the reputation of nodes. These new approaches are the authority-based update mechanism (AUM and the election-based update mechanism (EUM. We show how the model checker UPPAAL can be used to analyze the spatiotemporal access control model of an application. Finally, we also implement a prototype system to demonstrate the efficiency of our model.

  5. Spatiotemporal access model based on reputation for the sensing layer of the IoT.

    Science.gov (United States)

    Guo, Yunchuan; Yin, Lihua; Li, Chao; Qian, Junyan

    2014-01-01

    Access control is a key technology in providing security in the Internet of Things (IoT). The mainstream security approach proposed for the sensing layer of the IoT concentrates only on authentication while ignoring the more general models. Unreliable communications and resource constraints make the traditional access control techniques barely meet the requirements of the sensing layer of the IoT. In this paper, we propose a model that combines space and time with reputation to control access to the information within the sensing layer of the IoT. This model is called spatiotemporal access control based on reputation (STRAC). STRAC uses a lattice-based approach to decrease the size of policy bases. To solve the problem caused by unreliable communications, we propose both nondeterministic authorizations and stochastic authorizations. To more precisely manage the reputation of nodes, we propose two new mechanisms to update the reputation of nodes. These new approaches are the authority-based update mechanism (AUM) and the election-based update mechanism (EUM). We show how the model checker UPPAAL can be used to analyze the spatiotemporal access control model of an application. Finally, we also implement a prototype system to demonstrate the efficiency of our model.

  6. Modeling IoT-Based Solutions Using Human-Centric Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Álvaro Monares

    2014-08-01

    Full Text Available The Internet of Things (IoT has inspired solutions that are already available for addressing problems in various application scenarios, such as healthcare, security, emergency support and tourism. However, there is no clear approach to modeling these systems and envisioning their capabilities at the design time. Therefore, the process of designing these systems is ad hoc and its real impact is evaluated once the solution is already implemented, which is risky and expensive. This paper proposes a modeling approach that uses human-centric wireless sensor networks to specify and evaluate models of IoT-based systems at the time of design, avoiding the need to spend time and effort on early implementations of immature designs. It allows designers to focus on the system design, leaving the implementation decisions for a next phase. The article illustrates the usefulness of this proposal through a running example, showing the design of an IoT-based solution to support the first responses during medium-sized or large urban incidents. The case study used in the proposal evaluation is based on a real train crash. The proposed modeling approach can be used to design IoT-based systems for other application scenarios, e.g., to support security operatives or monitor chronic patients in their homes.

  7. Modeling IoT-Based Solutions Using Human-Centric Wireless Sensor Networks

    Science.gov (United States)

    Monares, Álvaro; Ochoa, Sergio F.; Santos, Rodrigo; Orozco, Javier; Meseguer, Roc

    2014-01-01

    The Internet of Things (IoT) has inspired solutions that are already available for addressing problems in various application scenarios, such as healthcare, security, emergency support and tourism. However, there is no clear approach to modeling these systems and envisioning their capabilities at the design time. Therefore, the process of designing these systems is ad hoc and its real impact is evaluated once the solution is already implemented, which is risky and expensive. This paper proposes a modeling approach that uses human-centric wireless sensor networks to specify and evaluate models of IoT-based systems at the time of design, avoiding the need to spend time and effort on early implementations of immature designs. It allows designers to focus on the system design, leaving the implementation decisions for a next phase. The article illustrates the usefulness of this proposal through a running example, showing the design of an IoT-based solution to support the first responses during medium-sized or large urban incidents. The case study used in the proposal evaluation is based on a real train crash. The proposed modeling approach can be used to design IoT-based systems for other application scenarios, e.g., to support security operatives or monitor chronic patients in their homes. PMID:25157549

  8. Modeling IoT-based solutions using human-centric wireless sensor networks.

    Science.gov (United States)

    Monares, Álvaro; Ochoa, Sergio F; Santos, Rodrigo; Orozco, Javier; Meseguer, Roc

    2014-08-25

    The Internet of Things (IoT) has inspired solutions that are already available for addressing problems in various application scenarios, such as healthcare, security, emergency support and tourism. However, there is no clear approach to modeling these systems and envisioning their capabilities at the design time. Therefore, the process of designing these systems is ad hoc and its real impact is evaluated once the solution is already implemented, which is risky and expensive. This paper proposes a modeling approach that uses human-centric wireless sensor networks to specify and evaluate models of IoT-based systems at the time of design, avoiding the need to spend time and effort on early implementations of immature designs. It allows designers to focus on the system design, leaving the implementation decisions for a next phase. The article illustrates the usefulness of this proposal through a running example, showing the design of an IoT-based solution to support the first responses during medium-sized or large urban incidents. The case study used in the proposal evaluation is based on a real train crash. The proposed modeling approach can be used to design IoT-based systems for other application scenarios, e.g., to support security operatives or monitor chronic patients in their homes.

  9. Empowering Cloud Resolving Models Through GPU and Asynchronous IO Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Facilitate use of Goddard Cumulus Ensemble (GCE), Weather Research and Forecasting Model (WRF), and Goddard Multi-scale Modeling Framework (MMF) with bin...

  10. A Reference Model for Monitoring IoT WSN-Based Applications.

    Science.gov (United States)

    Capella, Juan Vicente; Campelo, José Carlos; Bonastre, Alberto; Ors, Rafael

    2016-10-30

    The Internet of Things (IoT) is, at this moment, one of the most promising technologies that has arisen for decades. Wireless Sensor Networks (WSNs) are one of the main pillars for many IoT applications, insofar as they require to obtain context-awareness information. The bibliography shows many difficulties in their real implementation that have prevented its massive deployment. Additionally, in IoT environments where data producers and data consumers are not directly related, compatibility and certification issues become fundamental. Both problems would profit from accurate knowledge of the internal behavior of WSNs that must be obtained by the utilization of appropriate tools. There are many ad-hoc proposals with no common structure or methodology, and intended to monitor a particular WSN. To overcome this problem, this paper proposes a structured three-layer reference model for WSN Monitoring Platforms (WSN-MP), which offers a standard environment for the design of new monitoring platforms to debug, verify and certify a WSN's behavior and performance, and applicable to every WSN. This model also allows the comparative analysis of the current proposals for monitoring the operation of WSNs. Following this methodology, it is possible to achieve a standardization of WSN-MP, promoting new research areas in order to solve the problems of each layer.

  11. The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data.

    Science.gov (United States)

    Kasper, Lars; Bollmann, Steffen; Diaconescu, Andreea O; Hutton, Chloe; Heinzle, Jakob; Iglesias, Sandra; Hauser, Tobias U; Sebold, Miriam; Manjaly, Zina-Mary; Pruessmann, Klaas P; Stephan, Klaas E

    2017-01-30

    Physiological noise is one of the major confounds for fMRI. A common class of correction methods model noise from peripheral measures, such as ECGs or pneumatic belts. However, physiological noise correction has not emerged as a standard preprocessing step for fMRI data yet due to: (1) the varying data quality of physiological recordings, (2) non-standardized peripheral data formats and (3) the lack of full automatization of processing and modeling physiology, required for large-cohort studies. We introduce the PhysIO Toolbox for preprocessing of physiological recordings and model-based noise correction. It implements a variety of noise models, such as RETROICOR, respiratory volume per time and heart rate variability responses (RVT/HRV). The toolbox covers all intermediate steps - from flexible read-in of data formats to GLM regressor/contrast creation - without any manual intervention. We demonstrate the workflow of the toolbox and its functionality for datasets from different vendors, recording devices, field strengths and subject populations. Automatization of physiological noise correction and performance evaluation are reported in a group study (N=35). The PhysIO Toolbox reproduces physiological noise patterns and correction efficacy of previously implemented noise models. It increases modeling robustness by outperforming vendor-provided peak detection methods for physiological cycles. Finally, the toolbox offers an integrated framework with full automatization, including performance monitoring, and flexibility with respect to the input data. Through its platform-independent Matlab implementation, open-source distribution, and modular structure, the PhysIO Toolbox renders physiological noise correction an accessible preprocessing step for fMRI data. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  12. A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications †

    Science.gov (United States)

    Dinh, Thanh; Kim, Younghan; Lee, Hyukjoon

    2017-01-01

    This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model. PMID:28257067

  13. A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications.

    Science.gov (United States)

    Dinh, Thanh; Kim, Younghan; Lee, Hyukjoon

    2017-03-01

    This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model.

  14. ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00219732; The ATLAS collaboration; Cranshaw, Jack; van Gemmeren, Peter; Nowak, Marcin

    2016-01-01

    Choices in persistent data models and data organization have significant performance ramifications for data-intensive scientific computing. In experimental high energy physics, organizing file-based event data for efficient per-attribute retrieval may improve the I/O performance of some physics analyses but hamper the performance of processing that requires full-event access. In-file data organization tuned for serial access by a single process may be less suitable for opportunistic sub-file-based processing on distributed computing resources. Unique I/O characteristics of high-performance computing platforms pose additional challenges. The ATLAS experiment at the Large Hadron Collider employs a flexible I/O framework and a suite of tools and techniques for persistent data organization to support an increasingly heterogeneous array of data access and processing models.

  15. ATLAS Event Data Organization and I/O Framework Capabilities in Support of Heterogeneous Data Access and Processing Models

    CERN Document Server

    Malon, David; The ATLAS collaboration; van Gemmeren, Peter

    2016-01-01

    Choices in persistent data models and data organization have significant performance ramifications for data-intensive scientific computing. In experimental high energy physics, organizing file-based event data for efficient per-attribute retrieval may improve the I/O performance of some physics analyses but hamper the performance of processing that requires full-event access. In-file data organization tuned for serial access by a single process may be less suitable for opportunistic sub-file-based processing on distributed computing resources. Unique I/O characteristics of high-performance computing platforms pose additional challenges. This paper describes work in the ATLAS experiment at the Large Hadron Collider to provide an I/O framework and tools for persistent data organization to support an increasingly heterogenous array of data access and processing models.

  16. Actor Model of Computation for Scalable Robust Information Systems : One IoT is No IoT1

    OpenAIRE

    Hewitt, Carl

    2017-01-01

    International audience; The Actor Model is a mathematical theory that treats “Actors” as the universal conceptual primitives of digital computation. Hypothesis: All physically possible computation can be directly implemented using Actors.The model has been used both as a framework for a theoretical understanding of concurrency, and as the theoretical basis for several practical implementations of concurrent systems. The advent of massive concurrency through client-cloud computing and many-cor...

  17. Constructing a multi-sided business model for a smart horizontal IoT service platform

    NARCIS (Netherlands)

    Berkers, F.; Roelands, M.; Bomhof, F.; Bachet, T.; Van Rijn, M.; Koers, W.

    2013-01-01

    In order to realize a viable business ecosystem in the Internet of Things (IoT), we investigated how a smart horizontal IoT service platform can bring value and economies of scale to all required ecosystem stakeholders. By means of an example application domain case, this paper constructs a

  18. Defining the stack for service delivery models and interoperability in the internet of things: A practical case with OpenIoT-VDK

    OpenAIRE

    Serrano, M.; Quoc, H.N.M.; Phuoc, D.L.; Hauswirth, M; Soldatos, J.; Kefalakis, N.; Jayaraman, P.P.; Zaslavsky, A.

    2015-01-01

    This paper introduces the stack for service delivery models and interoperability in the Internet of Things. The main characteristics and functional layers of the IoT stack are described. The applicability of the IoT stack is described based on particular use cases and deployed pilots. The validation of the IoT stack in terms of functionality and adaptation at different IoT particular areas is based on the Virtual Development Kit (VDK) developed and implemented within the framework of the Open...

  19. Hybrid I/O automata

    NARCIS (Netherlands)

    N.A. Lynch; R. Segala; F.W. Vaandrager (Frits); H.B. Weinberg

    1995-01-01

    textabstractWe propose a new hybrid I/O automaton model that is capable of describing both continuous and discrete behavior. The model, which extends the timed I/O automaton model of Lynch et al and the phase transition system models of Manna et al, allows communication among components using both

  20. Global ocean simulation with INM-IO eddy-resolving model

    Science.gov (United States)

    Khabeev, R.; Ushakov, K.; Ibrayev, R.

    2012-04-01

    An eddy-resolving numerical ocean model is used to study intra- and inter-annual variability of the World Ocean. In study we use z-coordinate global ocean circulation model with 1/10 degree horizontal resolution and 49 vertical levels. The model is based on the system of three-dimensional primitive equations of ocean dynamics. A numerical method is based on the separation of solutions to barotropic and baroclinic components. The ocean model is coupled with sea ice and atmospheric boundary layer submodels. The model was developed at the Institute of Numerical Mathematics (INM RAS) and P.P.Shirshov Institute of Oceanology of the Russian Academy of Sciences (IO RAS). In the first set of numerical simulations atmospheric conditions defined by the normal annual cycle, in accordance with the terms of the international experiment CORE-I (Coordinated Ocean-ice Reference Experiment) was used. Results of these simulations were used to present and analyze intra-annual variability in the oceans. The second set of numerical simulations was forced with ERA-40 data. Eddy-resolving global model simulations were used not only to study large-scale circulation. Regional processes were also estimated and discussed. For instance model solution demonstrates considerable variability of the flow with the formation of strong anticyclonic meanders along the Japanese islands. Structure of the meridional circulation is consistent with results obtained by other global models and models of the Atlantic Ocean. Dynamics of the Gulf Stream and Kuroshio current in numerical solution quite accurately match with satellite altimetry data.

  1. Programming iOS 6

    CERN Document Server

    Neuburg, Matt

    2013-01-01

    Get a solid grounding in all the fundamentals of Cocoa Touch, and avoid problems during iPhone and iPad app development. With this revised and expanded edition, you'll dig into Cocoa and learn how to work effectively with Objective-C and Xcode. This book covers iOS 6 in a rigorous, orderly fashion-ideal whether you're approaching iOS for the first time or need a reference to bolster existing skills. Learn about features introduced with iOS 6, including Objective-C language advances, autosynthesis, autolayout, new view controller rotation rules, unwind segues, state restoration, styled text, and collection views. * Learn Objective-C language details and object-oriented programming concepts * Understand the anatomy of an Xcode project and all the stages of its lifecycle * Grasp key Cocoa concepts such as relationships between classes, receiving events, and model-view-controller architecture * Learn how views and layers are managed, drawn, composited, and animated * Become familiar with view controllers and thei...

  2. On IoT programming

    OpenAIRE

    Namiot, Dmitry; Sneps-Sneppe, Manfred

    2014-01-01

    This paper provides an overview of challenges for Internet of Things programming. In this article we discuss system software models and solutions, rather than network related aspects. It continues our series of publications about M2M systems, existing and upcoming system software platforms for M2M applications. We discuss here such issues for IoT systems as latency, power limitation, reliability (unreliability), network topology related effects as well as data processing in IoT applications.

  3. Vel-IO 3D: A tool for 3D velocity model construction, optimization and time-depth conversion in 3D geological modeling workflow

    Science.gov (United States)

    Maesano, Francesco E.; D'Ambrogi, Chiara

    2017-02-01

    We present Vel-IO 3D, a tool for 3D velocity model creation and time-depth conversion, as part of a workflow for 3D model building. The workflow addresses the management of large subsurface dataset, mainly seismic lines and well logs, and the construction of a 3D velocity model able to describe the variation of the velocity parameters related to strong facies and thickness variability and to high structural complexity. Although it is applicable in many geological contexts (e.g. foreland basins, large intermountain basins), it is particularly suitable in wide flat regions, where subsurface structures have no surface expression. The Vel-IO 3D tool is composed by three scripts, written in Python 2.7.11, that automate i) the 3D instantaneous velocity model building, ii) the velocity model optimization, iii) the time-depth conversion. They determine a 3D geological model that is consistent with the primary geological constraints (e.g. depth of the markers on wells). The proposed workflow and the Vel-IO 3D tool have been tested, during the EU funded Project GeoMol, by the construction of the 3D geological model of a flat region, 5700 km2 in area, located in the central part of the Po Plain. The final 3D model showed the efficiency of the workflow and Vel-IO 3D tool in the management of large amount of data both in time and depth domain. A 4 layer-cake velocity model has been applied to a several thousand (5000-13,000 m) thick succession, with 15 horizons from Triassic up to Pleistocene, complicated by a Mesozoic extensional tectonics and by buried thrusts related to Southern Alps and Northern Apennines.

  4. Copious Volcanism on a Compression-dominated Planet? Insights into Magma Ascent and Mountain Building on Io from Numerical Modeling

    Science.gov (United States)

    McGovern, Patrick J.; Kirchoff, M. R.

    2012-10-01

    Jupiter's moon Io is the most volcanically active body in the solar system. However, the largest mountains on Io are not massive shield volcanoes, but rather tabular features with a characteristic tilted-block morphology created by compressional faulting. A global bias towards compression may be produced by a vertical “conveyor belt” of repeated burial and subsidence of volcanic units, but this hypothesis begs the question of how the magma ascends to the surface in apparent violation of the long-standing principle that compression inhibits eruption. Here we explore the twin paradoxes of “copious volcanism on a compression-dominated planet” and “dominance of compression-built mountains on a volcanic planet” via quantitative modeling of the evolution of stresses in and deformation of Io’s lithosphere. Consideration of the pressure balance on a vertical magma conduit (dike) reveals that the vertical stress gradient associated with the conveyor belt stress state (compression decreasing upward) actually provides a driving force for magma ascent. Unfortunately, the components of the conveyor belt stress state (thermal, Poisson, and subsidence stresses) add together to produce horizontal compression in the lower lithosphere. This is inconsistent with vertical conduits, instead favoring horizontal ones (sills). However, the combined flexural (bending) and membrane (stretching) responses to loading produce stress changes beneath and surrounding large loads that can alter the principal stress orientations, re-enabling magma ascent. The particle-based Distinct Element Method (DEM) provides another way to model the response of Io’s lithosphere to the conveyor belt stress state. We model the lithosphere as a gravitationally loaded and bonded assemblage of particles, subject to horizontal displacements that increase with depth. The resulting deformation produces intact triangular blocks with tilted margins that resemble Ionian mountains. This work is sponsored by

  5. Conceptual Model for Smart Cities: Irrigation and Highway Lamps using IoT

    Directory of Open Access Journals (Sweden)

    Vijender Kumar Solanki

    2017-03-01

    Full Text Available Keeping in mind the need to preserve energy as well as utilize the available at its best the need was felt to develop a module that would be able to sort out the problem where resources such as water and electricity were wasted, in urban as well as rural area. Resource (electricity was wasted as beside the point operation of Highway and High Mast Lamp; while wastage of water followed by improper trends and methodologies imparted for watering of city park, road side plantation and highway plantation. Thus as per Energy survey statistics of a City (Lucknow, India it was found that major portion of resources (water and electricity were being wasted due to negligent activities of officials who were in charge of resource management. So to facilitate energy saving trends and to completely modernize it to autonomous system, module below is proposed which incorporates modern technological peripheral and has its base ingrained in IoT (Internet of Things which when put into consideration would result in large scale resource and energy saving.This developed module incorporates the peripherals such as Arduino, Texas Instruments ultra low power kits etc. in accordance with software technology including Lab View which help to monitor as well as control the various operation from the base station, located far away from the site. Lab View Interface interacts with all the module located at various city parks, subways and highway lighting modules. Later below in several section a detailed pattern and application frame has been put up.

  6. An intelligence collection management model.

    OpenAIRE

    Gandy, Thomas A.

    1984-01-01

    Approved for public release; distribution is unlimited This thesis examines the structure and functions of a generalized tactical intelligence collection system. Included are its position in the intelligence system structure, relationship with other activities in the intelligence system, and the organization and control of its components. A mathematical optimization model of a simplified intelligence collection system is developed to explore several issues related to intelligence collect...

  7. Digital cartography of Io

    Science.gov (United States)

    Mcewen, Alfred S.; Duck, B.; Edwards, Kathleen

    1991-01-01

    A high resolution controlled mosaic of the hemisphere of Io centered on longitude 310 degrees is produced. Digital cartographic techniques were employed. Approximately 80 Voyager 1 clear and blue filter frames were utilized. This mosaic was merged with low-resolution color images. This dataset is compared to the geologic map of this region. Passage of the Voyager spacecraft through the Io plasma torus during acquisition of the highest resolution images exposed the vidicon detectors to ionized radiation, resulting in dark-current buildup on the vidicon. Because the vidicon is scanned from top to bottom, more charge accumulated toward the bottom of the frames, and the additive error increases from top to bottom as a ramp function. This ramp function was removed by using a model. Photometric normalizations were applied using the Minnaert function. An attempt to use Hapke's photometric function revealed that this function does not adequately describe Io's limb darkening at emission angles greater than 80 degrees. In contrast, the Minnaert function accurately describes the limb darkening up to emission angles of about 89 degrees. The improved set of discrete camera angles derived from this effort will be used in conjunction with the space telemetry pointing history file (the IPPS file), corrected on 4 or 12 second intervals to derive a revised time history for the pointing of the Infrared Interferometric Spectrometer (IRIS). For IRIS observations acquired between camera shutterings, the IPPS file can be corrected by linear interpolation, provided that the spacecraft motions were continuous. Image areas corresponding to the fields of view of IRIS spectra acquired between camera shutterings will be extracted from the mosaic to place the IRIS observations and hotspot models into geologic context.

  8. Collective action and rationality models

    Directory of Open Access Journals (Sweden)

    Luis Miguel Miller Moya

    2004-01-01

    Full Text Available The Olsonian theory of collective action (Olson, 1965 assumes a model of economic rationality, based on a simple calculus between costs and benefits, that can be hardly hold at present, given the models of rationality proposed recently by several fields of research. In relation to these fields, I will concentrate in two specific proposals, namely: evolutionary game theory and, over all, the theory of bounded rationality. Both alternatives are specially fruitful in order to propose models that do not need a maximizing rationality, or environments of complete and perfect information. Their approaches, based on the possibility of individual learning over the time, have contributed to the analysis of the emergence of social norms, which is something really necessary to the resolution of problems related to cooperation. Thus, this article asserts that these two new theoretical contributions make feasible a fundamental advance in the study of collective action.

  9. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

    Directory of Open Access Journals (Sweden)

    Pavel Masek

    2016-11-01

    Full Text Available The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

  10. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

    Science.gov (United States)

    Masek, Pavel; Masek, Jan; Frantik, Petr; Fujdiak, Radek; Ometov, Aleksandr; Hosek, Jiri; Andreev, Sergey; Mlynek, Petr; Misurec, Jiri

    2016-01-01

    The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city. PMID:27834796

  11. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling.

    Science.gov (United States)

    Masek, Pavel; Masek, Jan; Frantik, Petr; Fujdiak, Radek; Ometov, Aleksandr; Hosek, Jiri; Andreev, Sergey; Mlynek, Petr; Misurec, Jiri

    2016-11-08

    The unprecedented growth of today's cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

  12. Learning and Model-checking Networks of I/O Automata

    DEFF Research Database (Denmark)

    Mao, Hua; Jaeger, Manfred

    2012-01-01

    We introduce a new statistical relational learning (SRL) approach in which models for structured data, especially network data, are constructed as networks of communicating nite probabilistic automata. Leveraging existing automata learning methods from the area of grammatical inference, we can...... learn generic models for network entities in the form of automata templates. As is characteristic for SRL techniques, the abstraction level aorded by learning generic templates enables one to apply the learned model to new domains. A main benet of learning models based on nite automata lies in the fact...

  13. lntraosseous (IO) route .

    African Journals Online (AJOL)

    Objective: To review the application of IO infusion and come up with recommendations. Methods: All patients on whom [O ... Results: IO infusion was done in 78 children aged one month to eight years during the period of 12 years. The peak age group with more than .... systemic venous system. Moreover several studies of.

  14. A risk tertiles model for predicting mortality in patients with acute respiratory distress syndrome: age, plateau pressure, and P(aO(2))/F(IO(2)) at ARDS onset can predict mortality.

    Science.gov (United States)

    Villar, Jesús; Pérez-Méndez, Lina; Basaldúa, Santiago; Blanco, Jesús; Aguilar, Gerardo; Toral, Darío; Zavala, Elizabeth; Romera, Miguel A; González-Díaz, Gumersindo; Nogal, Frutos Del; Santos-Bouza, Antonio; Ramos, Luís; Macías, Santiago; Kacmarek, Robert M

    2011-04-01

    Predicting mortality has become a necessary step for selecting patients for clinical trials and defining outcomes. We examined whether stratification by tertiles of respiratory and ventilatory variables at the onset of acute respiratory distress syndrome (ARDS) identifies patients with different risks of death in the intensive care unit. We performed a secondary analysis of data from 220 patients included in 2 multicenter prospective independent trials of ARDS patients mechanically ventilated with a lung-protective strategy. Using demographic, pulmonary, and ventilation data collected at ARDS onset, we derived and validated a simple prediction model based on a population-based stratification of variable values into low, middle, and high tertiles. The derivation cohort included 170 patients (all from one trial) and the validation cohort included 50 patients (all from a second trial). Tertile distribution for age, plateau airway pressure (P(plat)), and P(aO(2))/F(IO(2)) at ARDS onset identified subgroups with different mortalities, particularly for the highest-risk tertiles: age (> 62 years), P(plat) (> 29 cm H(2)O), and P(aO(2))/F(IO(2)) (< 112 mm Hg). Risk was defined by the number of coexisting high-risk tertiles: patients with no high-risk tertiles had a mortality of 12%, whereas patients with 3 high-risk tertiles had 90% mortality (P < .001). A prediction model based on tertiles of patient age, P(plat), and P(aO(2))/F(IO(2)) at the time the patient meets ARDS criteria identifies patients with the lowest and highest risk of intensive care unit death.

  15. Convergence Guaranteed Nonlinear Constraint Model Predictive Control via I/O Linearization

    Directory of Open Access Journals (Sweden)

    Xiaobing Kong

    2013-01-01

    Full Text Available Constituting reliable optimal solution is a key issue for the nonlinear constrained model predictive control. Input-output feedback linearization is a popular method in nonlinear control. By using an input-output feedback linearizing controller, the original linear input constraints will change to nonlinear constraints and sometimes the constraints are state dependent. This paper presents an iterative quadratic program (IQP routine on the continuous-time system. To guarantee its convergence, another iterative approach is incorporated. The proposed algorithm can reach a feasible solution over the entire prediction horizon. Simulation results on both a numerical example and the continuous stirred tank reactors (CSTR demonstrate the effectiveness of the proposed method.

  16. A multi-domain trust management model for supporting RFID applications of IoT.

    Science.gov (United States)

    Wu, Xu; Li, Feng

    2017-01-01

    The use of RFID technology in complex and distributed environments often leads to a multi-domain RFID system, in which trust establishment among entities from heterogeneous domains without past interaction or prior agreed policy, is a challenge. The current trust management mechanisms in the literature do not meet the specific requirements in multi-domain RFID systems. Therefore, this paper analyzes the special challenges on trust management in multi-domain RFID systems, and identifies the implications and the requirements of the challenges on the solutions to the trust management of multi-domain RFID systems. A multi-domain trust management model is proposed, which provides a hierarchical trust management framework include a diversity of trust evaluation and establishment approaches. The simulation results and analysis show that the proposed method has excellent ability to deal with the trust relationships, better security, and higher accuracy rate.

  17. A multi-domain trust management model for supporting RFID applications of IoT.

    Directory of Open Access Journals (Sweden)

    Xu Wu

    Full Text Available The use of RFID technology in complex and distributed environments often leads to a multi-domain RFID system, in which trust establishment among entities from heterogeneous domains without past interaction or prior agreed policy, is a challenge. The current trust management mechanisms in the literature do not meet the specific requirements in multi-domain RFID systems. Therefore, this paper analyzes the special challenges on trust management in multi-domain RFID systems, and identifies the implications and the requirements of the challenges on the solutions to the trust management of multi-domain RFID systems. A multi-domain trust management model is proposed, which provides a hierarchical trust management framework include a diversity of trust evaluation and establishment approaches. The simulation results and analysis show that the proposed method has excellent ability to deal with the trust relationships, better security, and higher accuracy rate.

  18. Zabezpečení platformy iOS

    OpenAIRE

    Nidl, Michal

    2014-01-01

    This bachelor's thesis is focused on security of operating system iOS from Apple. The thesis is divided into six chapters. The first chapter describes iOS and Apple company. The second chapter deals with iOS security architecture in terms of security model and security mechanisms. The third chapter deals with the security of iOS applications and options of their testing. The fourth chapter describes software attacks against iOS in the form of malware and exploitation. The fifth chapter descri...

  19. Enigmatic Io: Historical Overview

    Science.gov (United States)

    Johnson, T. V.

    2002-05-01

    Io is one of the four satellites of Jupiter discovered by Galileo in 1610, and it has played a major role in the history of astronomy and planetary science ever since. Timing of its eclipses by Jupiter, along with the other Galilean moons, provided the first measurement of the speed of light by Roemer. The importance of resonances in celestial mechanics was demonstrated by Laplace's study of the system. The discovery that Io's orbital position controls decametric radio emissions from Jupiter's magnetosphere was the first hint of the strong interactions between giant planet magnetospheres and the satellites embedded within them. Io's bizarre optical properties led to similarly bizarre hypotheses concerning its surface composition and history. Voyager's initial reconnaissance in 1979 led to the discovery of the first active volcanism beyond Earth and recognition of tidal heating as a major energy source for Io. The Galileo mission, originally not slated to study Io due to hazards from Jupiter's radiation belts, has vastly increased our understanding of Io through a remarkable series of distant observations and daring close encounters over the course of its six-plus year mission. This talk will review our changing view of this strange world, Io, the most volcanic world in the solar system, whose map is now emblazoned with the names of gods and goddesses of volcanoes and fire from Earth's diverse cultures.

  20. IOs as Social Sites

    DEFF Research Database (Denmark)

    Park, Susan M.; Vetterlein, Antje

    Norms research has made significant inroads into examining their emergence and influence in international relations, while recognizing international organizations (IOs) as key social sites for norms to be created and/or disseminated. This paper interrogates how IOs as “organizational platforms......” (Finnemore 1996) influence the norm building process. Going beyond state-centric approaches to norm construction, it argues that the process of taking up a norm by an IO does affect the norm’s power. A norm’s strength is determined by the extent to which it is uncontested and taken for granted as appropriate...... for actors with a given identity, which becomes institutionalized and internalized over time. Building on recent work that details how a norm’s strength is also derived from its specificity, the article assesses how the different ways an IO adopts norms may affect the norm’s power. The article provides...

  1. Using Formal Grammars to Predict I/O Behaviors in HPC: The Omnisc'IO Approach

    Energy Technology Data Exchange (ETDEWEB)

    Dorier, Matthieu; Ibrahim, Shadi; Antoniu, Gabriel; Ross, Rob

    2016-08-01

    The increasing gap between the computation performance of post-petascale machines and the performance of their I/O subsystem has motivated many I/O optimizations including prefetching, caching, and scheduling. In order to further improve these techniques, modeling and predicting spatial and temporal I/O patterns of HPC applications as they run has become crucial. In this paper we present Omnisc'IO, an approach that builds a grammar-based model of the I/O behavior of HPC applications and uses it to predict when future I/O operations will occur, and where and how much data will be accessed. To infer grammars, Omnisc'IO is based on StarSequitur, a novel algorithm extending Nevill-Manning's Sequitur algorithm. Omnisc'IO is transparently integrated into the POSIX and MPI I/O stacks and does not require any modification in applications or higher-level I/O libraries. It works without any prior knowledge of the application and converges to accurate predictions of any N future I/O operations within a couple of iterations. Its implementation is efficient in both computation time and memory footprint.

  2. Embodied energy of construction materials: integrating human and capital energy into an IO-based hybrid model.

    Science.gov (United States)

    Dixit, Manish K; Culp, Charles H; Fernandez-Solis, Jose L

    2015-02-03

    Buildings alone consume approximately 40% of the annual global energy and contribute indirectly to the increasing concentration of atmospheric carbon. The total life cycle energy use of a building is composed of embodied and operating energy. Embodied energy includes all energy required to manufacture and transport building materials, and construct, maintain, and demolish a building. For a systemic energy and carbon assessment of buildings, it is critical to use a whole life cycle approach, which takes into account the embodied as well as operating energy. Whereas the calculation of a building's operating energy is straightforward, there is a lack of a complete embodied energy calculation method. Although an input-output-based (IO-based) hybrid method could provide a complete and consistent embodied energy calculation, there are unresolved issues, such as an overdependence on price data and exclusion of the energy of human labor and capital inputs. This paper proposes a method for calculating and integrating the energy of labor and capital input into an IO-based hybrid method. The results demonstrate that the IO-based hybrid method can provide relatively complete results. Also, to avoid errors, the total amount of human and capital energy should not be excluded from the calculation.

  3. A new physical model of the electron radiation belts of Jupiter: on the importance of the wave-particle interaction between Io and Europa

    Science.gov (United States)

    Nénon, Quentin; Sicard-Piet, Angélica

    2017-04-01

    From 1998 to 2004, ONERA has adapted its 3D physical model of the Earth radiation belts, Salammbô, to the Jovian electron belts. An upgraded Jupiter-Salammbô model will be presented, now taking into account the gyro-resonant interaction with the plasma waves between Io and Europa. The full spectrum of the electromagnetic waves detected by the Galileo Plasma Wave Science experiment was considered. The WAPI (WAve-Particle Interaction) code, developed by ONERA and implementing the quasi-linear theory, has then been used to estimate the pitch angle and kinetic energy diffusion rates. Regarding the boundary condition, the Galileo Energetic Particle Detector (EPD) high-resolution data suggests that the electron distribution at a Mc Illwain parameter of L=9.5 is almost isotropic, with a flux ratio between equatorial electrons and those bouncing near the loss cone lower than 5 at all the observed kinetic energies. We therefore adopted an isotropic boundary condition at L=9.5 that relies on the in-situ flux measurements coming from the Pioneer 10, Pioneer 11, Voyager 1 and Galileo missions. We propose to model the radial diffusion process with a diffusion coefficient DLL = 10-10L4s-1 for L extending from 1 to 9.5. The validation of the new model against in-situ and remote (synchrotron emission) observations will be presented. We will then discuss the effect of the wave-particle interaction on the predicted in-situ fluxes. In particular, the observable depletions of the Pioneer and Voyager fluxes near the orbit of Io seem to be predominantly induced by the plasma waves and not by the sweeping effect of Io.

  4. Volcanic eruptions on Io

    Science.gov (United States)

    Strom, R. G.; Schneider, N. M.; Terrile, R. J.; Cook, A. F.; Hansen, C.

    1981-09-01

    Nine eruption plumes which were observed during the Voyager 1 encounter with Io are discussed. During the Voyager 2 encounter, four months later, eight of the eruptions were still active although the largest became inactive sometime between the two encounters. Plumes range in height from 60 to over 300 km with corresponding ejection velocities of 0.5 to 1.0 km/s and plume sources are located on several plains and consist of fissures or calderas. The shape and brightness distribution together with the pattern of the surface deposition on a plume 3 is simulated by a ballistic model with a constant ejection velocity of 0.5 km/s and ejection angles which vary from 0-55 deg. The distribution of active and recent eruptions is concentrated in the equatorial regions and indicates that volcanic activity is more frequent and intense in the equatorial regions than in the polar regions. Due to the geologic setting of certain plume sources and large reservoirs of volatiles required for the active eruptions, it is concluded that sulfur volcanism rather than silicate volcanism is the most likely driving mechanism for the eruption plumes.

  5. IoTFLiP: IoT-based flipped learning platform for medical education

    Directory of Open Access Journals (Sweden)

    Maqbool Ali

    2017-08-01

    Full Text Available Case-Based Learning (CBL has become an effective pedagogy for student-centered learning in medical education, which is founded on persistent patient cases. Flippped learning and Internet of Things (IoTs concepts have gained significant attention in recent years. Using these concepts in conjunction with CBL can improve learning ability by providing real evolutionary medical cases. It also enables students to build confidence in their decision making, and efficiently enhances teamwork in the learing environment. We propose an IoT-based Flip Learning Platform, called IoTFLiP, where an IoT infrastructure is exploited to support flipped case-based learning in a cloud environment with state of the art security and privacy measures for personalized medical data. It also provides support for application delivery in private, public, and hybrid approaches. The proposed platform is an extension of our Interactive Case-Based Flipped Learning Tool (ICBFLT, which has been developed based on current CBL practices. ICBFLT formulates summaries of CBL cases through synergy between students' and medical expert knowledge. The low cost and reduced size of sensor device, support of IoTs, and recent flipped learning advancements can enhance medical students' academic and practical experiences. In order to demonstrate a working scenario for the proposed IoTFLiP platform, real-time data from IoTs gadgets is collected to generate a real-world case for a medical student using ICBFLT.

  6. IoT-based flood embankments monitoring system

    Science.gov (United States)

    Michta, E.; Szulim, R.; Sojka-Piotrowska, A.; Piotrowski, K.

    2017-08-01

    In the paper a concept of flood embankments monitoring system based on using Internet of Things approach and Cloud Computing technologies will be presented. The proposed system consists of sensors, IoT nodes, Gateways and Cloud based services. Nodes communicates with the sensors measuring certain physical parameters describing the state of the embankments and communicates with the Gateways. Gateways are specialized active devices responsible for direct communication with the nodes, collecting sensor data, preprocess the data, applying local rules and communicate with the Cloud Services using communication API delivered by cloud services providers. Architecture of all of the system components will be proposed consisting IoT devices functionalities description, their communication model, software modules and services bases on using a public cloud computing platform like Microsoft Azure will be proposed. The most important aspects of maintaining the communication in a secure way will be shown.

  7. Flood simulation and verification with IoT sensors

    Science.gov (United States)

    Chang, Che-Hao; Hsu, Chih-Tsung; Wu, Shiang-Jen; Huang, Sue-Wei

    2017-04-01

    2D flood dynamic simulation is a vivid tool to demonstrate the possible expose area that sustain impact of high rise of water level. Along with progress in high resolution digital terrain model, the simulation results are quite convinced yet not proved to be close to what is really happened. Due to the dynamic and uncertain essence, the expose area usually could not be well defined during a flood event. Recent development in IoT sensors bring a low power and long distance communication which help us to collect real time flood depths. With these time series of flood depths at different locations, we are capable of verifying the simulation results corresponding to the flood event. 16 flood gauges with IoT specification as well as two flood events in Annan district, Tainan city, Taiwan are examined in this study. During the event in 11, June, 2016, 12 flood gauges works well and 8 of them provide observation match to simulation.

  8. Modeling the demand reduction input-output (I-O) inoperability due to terrorism of interconnected infrastructures.

    Science.gov (United States)

    Santos, Joost R; Haimes, Yacov Y

    2004-12-01

    Interdependency analysis in the context of this article is a process of assessing and managing risks inherent in a system of interconnected entities (e.g., infrastructures or industry sectors). Invoking the principles of input-output (I-O) and decomposition analysis, the article offers a framework for describing how terrorism-induced perturbations can propagate due to interconnectedness. Data published by the Bureau of Economic Analysis Division of the U.S. Department of Commerce is utilized to present applications to serve as test beds for the proposed framework. Specifically, a case study estimating the economic impact of airline demand perturbations to national-level U.S. sectors is made possible using I-O matrices. A ranking of the affected sectors according to their vulnerability to perturbations originating from a primary sector (e.g., air transportation) can serve as important input to risk management. For example, limited resources can be prioritized for the "top-n" sectors that are perceived to suffer the greatest economic losses due to terrorism. In addition, regional decomposition via location quotients enables the analysis of local-level terrorism events. The Regional I-O Multiplier System II (RIMS II) Division of the U.S. Department of Commerce is the agency responsible for releasing the regional multipliers for various geographical resolutions (economic areas, states, and counties). A regional-level case study demonstrates a process of estimating the economic impact of transportation-related scenarios on industry sectors within Economic Area 010 (the New York metropolitan region and vicinities).

  9. Studies of plasma flow past Jupiter's satellite Io

    Science.gov (United States)

    Linker, Jon

    1996-01-01

    We have investigated the interaction of Io, Jupiter's innermost Galilean satellite, with the Io plasma torus. The interaction of Io with the plasma surrounding it has been a subject of interest for almost 30 years, dating from the discovery by Bigg (1964) that radio emissions from the Jovian magnetosphere are controlled by Io's position. Since that time, both ground-based and spacecraft observations have shown that Io is a unique satellite that influences the Jovian magnetosphere in important ways. In particular, material from Io is a major source of plasma for the magnetosphere, and the energy that this plasma harnesses from Jupiter's co-rotating magnetic field is an important power source for the magnetosphere. It is apparent that the local interaction of the torus plasma with Io plays a key role in the formation, composition, and energetics of the Io torus; the interaction is also highly nonlinear. We have modeled this interaction using time-dependent three-dimensional magnetohydrodynamic (MHD) simulations. During this past year, we have used NASA support to develop a new MHD code to study the interaction. As part of the Galileo spacecraft's recent successful insertion into orbit around Jupiter, the spacecraft passed within 900 km of Io's surface. Our calculations have focused on using Galileo particles and fields data to examine a question that was not resolved by the Voyager observations: Does Io have an intrinsic magnetic field? In this progress summary, we describe our efforts on this problem to date.

  10. Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules

    Directory of Open Access Journals (Sweden)

    Isidro Calvo

    2016-09-01

    Full Text Available Typical Internet of Things (IoT applications involve collecting information automatically from diverse geographically-distributed smart sensors and concentrating the information into more powerful computers. The Raspberry Pi platform has become a very interesting choice for IoT applications for several reasons: (1 good computing power/cost ratio; (2 high availability; it has become a de facto hardware standard; and (3 ease of use; it is based on operating systems with a big community of users. In IoT applications, data are frequently carried by means of wireless sensor networks in which energy consumption is a key issue. Energy consumption is especially relevant for smart sensors that are scattered over wide geographical areas and may need to work unattended on batteries for long intervals of time. In this scenario, it is convenient to ease the construction of IoT applications while keeping energy consumption to a minimum at the sensors. This work proposes a possible gateway implementation with specific technologies. It solves the following research question: how to build gateways for IoT applications with Raspberry Pi and low power IQRF communication modules. The following contributions are presented: (1 one architecture for IoT gateways that integrates data from sensor nodes into a higher level application based on low-cost/low-energy technologies; (2 bindings in Java and C that ease the construction of IoT applications; (3 an empirical model that describes the consumption of the communications at the nodes (smart sensors and allows scaling their batteries; and (4 validation of the proposed energy model at the battery-operated nodes.

  11. Silicate volcanism on Io

    Science.gov (United States)

    Carr, M. H.

    1986-03-01

    This paper is mainly concerned with the nature of volcanic eruptions on Io, taking into account questions regarding the presence of silicates or sulfur as principal component. Attention is given to the generation of silicate magma, the viscous dissipation in the melt zone, thermal anomalies at eruption sites, and Ionian volcanism. According to the information available about Io, it appears that its volcanism and hence its surface materials are dominantly silicic. Several percent of volatile materials such as sulfur, but also including sodium- and potassium-rich materials, may also be present. The volatile materials at the surface are continually vaporized and melted as a result of the high rates of silicate volcanism.

  12. An Intelligence Collection Management Model.

    Science.gov (United States)

    1984-06-01

    classification of inteligence collection requirements in terms of. the a-.- metnodo"c, .ev--e in Chaster Five. 116 APPgENDIX A A METHOD OF RANKING...of Artificial Intelligence Tools and Technigues to!TN’X n~l is n rs aa~emfft-.3-ufnyva: ’A TZ Ashby W. Ecss. An Introduction to Cybernetics. New York

  13. IO and OI. II

    DEFF Research Database (Denmark)

    Engelfriet, Joost; Schmidt, Erik Meineche

    1978-01-01

    In Part 1 of this paper (J. Comput. System Sci. 15, Number 3 (1977)) we presented a fixed point characterization of the (IO and OI) context-free tree languages. We showed that a context-free tree grammar can be viewed as a system of regular equations over a tree language substitution algebra...

  14. IO and OI. I

    DEFF Research Database (Denmark)

    Engelfriet, Joost; Schmidt, Erik Meineche

    1977-01-01

    A fixed-point characterization of the inside-out (IO) and outside-in (OI) context-free tree languages is given. This characterization is used to obtain a theory of nondeterministic systems of context-free equations with parameters. Several “Mezei-and-Wright-like” results are obtained which relate...

  15. Geologic map of Io

    Science.gov (United States)

    Williams, David A.; Keszthelyi, Laszlo P.; Crown, David A.; Yff, Jessica A.; Jaeger, Windy L.; Schenk, Paul M.; Geissler, Paul E.; Becker, Tammy L.

    2011-01-01

    Io, discovered by Galileo Galilei on January 7–13, 1610, is the innermost of the four Galilean satellites of the planet Jupiter (Galilei, 1610). It is the most volcanically active object in the Solar System, as recognized by observations from six National Aeronautics and Space Administration (NASA) spacecraft: Voyager 1 (March 1979), Voyager 2 (July 1979), Hubble Space Telescope (1990–present), Galileo (1996–2001), Cassini (December 2000), and New Horizons (February 2007). The lack of impact craters on Io in any spacecraft images at any resolution attests to the high resurfacing rate (1 cm/yr) and the dominant role of active volcanism in shaping its surface. High-temperature hot spots detected by the Galileo Solid-State Imager (SSI), Near-Infrared Mapping Spectrometer (NIMS), and Photopolarimeter-Radiometer (PPR) usually correlate with darkest materials on the surface, suggesting active volcanism. The Voyager flybys obtained complete coverage of Io's subjovian hemisphere at 500 m/pixel to 2 km/pixel, and most of the rest of the satellite at 5–20 km/pixel. Repeated Galileo flybys obtained complementary coverage of Io's antijovian hemisphere at 5 m/pixel to 1.4 km/pixel. Thus, the Voyager and Galileo data sets were merged to enable the characterization of the whole surface of the satellite at a consistent resolution. The United States Geological Survey (USGS) produced a set of four global mosaics of Io in visible wavelengths at a spatial resolution of 1 km/pixel, released in February 2006, which we have used as base maps for this new global geologic map. Much has been learned about Io's volcanism, tectonics, degradation, and interior since the Voyager flybys, primarily during and following the Galileo Mission at Jupiter (December 1995–September 2003), and the results have been summarized in books published after the end of the Galileo Mission. Our mapping incorporates this new understanding to assist in map unit definition and to provide a global synthesis

  16. Understanding I/O workload characteristics of a Peta-scale storage system

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Youngjae [ORNL; Gunasekaran, Raghul [ORNL

    2015-01-01

    Understanding workload characteristics is critical for optimizing and improving the performance of current systems and software, and architecting new storage systems based on observed workload patterns. In this paper, we characterize the I/O workloads of scientific applications of one of the world s fastest high performance computing (HPC) storage cluster, Spider, at the Oak Ridge Leadership Computing Facility (OLCF). OLCF flagship petascale simulation platform, Titan, and other large HPC clusters, in total over 250 thousands compute cores, depend on Spider for their I/O needs. We characterize the system utilization, the demands of reads and writes, idle time, storage space utilization, and the distribution of read requests to write requests for the Peta-scale Storage Systems. From this study, we develop synthesized workloads, and we show that the read and write I/O bandwidth usage as well as the inter-arrival time of requests can be modeled as a Pareto distribution. We also study the I/O load imbalance problems using I/O performance data collected from the Spider storage system.

  17. IoT gateway architecture

    OpenAIRE

    Leleika, Paulius

    2017-01-01

    This paper provides an overview of HTTP, CoAP, AMQP, DDS, MQTT, XMPP communication protocols. The main IoT problem is that IoT devices uses many different communication protocols and devices cannot communicate with each other directly. IoT gateway helps to solve that problem. This paper also identifies requirements for IoT gateway software. Provides solution for communication between devices which are using different messaging architectures. Presents security aspects and ways to secure IoT ga...

  18. Geology of Io

    Science.gov (United States)

    Greeley, R.; Craddock, R. A.; Crown, D. A.; Leshin, L. A.; Schaber, G. G.

    1987-01-01

    Geologic mapping of the Jovian satellite Io has been completed at 1:15,000,000 scale for an area lying between +40 and -90 deg latitude and 230 and 45 deg longitude, which includes portions of the Ruwa Patera quadrangle (Ji2) and the Lerna Region (Ji4) and the westernmost section of the Colchis Region (Ji3). Image resolution in the mapped area is commonly 0.5 to 2 km/pxl. High resolution areas (less than .5 km/pxl) are located near the south pole (Lerna Region) and in eastern Ruwa Patera quadrangle. Geologic maps for the Ruwa Patera quadrangle (Ji2) and the Lerna Region (Ji4) have been produced at 1:5,000,000 scale. The present effort reexamines the previously mapped areas and synthesizes the geology of Io on a global scale.

  19. FabIO

    DEFF Research Database (Denmark)

    Bergbäck Knudsen, Erik; Sørensen, Henning O.; Wright, Jonathan P.

    2013-01-01

    FabIO is a Python module written for easy and transparent reading of raw two-dimensional data from various X-ray detectors. The module provides a function for reading any image and returning a fabioimage object which contains both metadata (header information) and the raw data. All fabioimage...... objects offer additional methods to extract information about the image and to open other detector images from the same data series....

  20. An Optimizing Compiler for Petascale I/O on Leadership Class Architectures

    Energy Technology Data Exchange (ETDEWEB)

    Choudhary, Alok [Northwestern Univ., Evanston, IL (United States); Kandemir, Mahmut [Pennsylvania State Univ., State College, PA (United States)

    2015-03-18

    In high-performance computing systems, parallel I/O architectures usually have very complex hierarchies with multiple layers that collectively constitute an I/O stack, including high-level I/O libraries such as PnetCDF and HDF5, I/O middleware such as MPI-IO, and parallel file systems such as PVFS and Lustre. Our project explored automated instrumentation and compiler support for I/O intensive applications. Our project made significant progress towards understanding the complex I/O hierarchies of high-performance storage systems (including storage caches, HDDs, and SSDs), and designing and implementing state-of-the-art compiler/runtime system technology that targets I/O intensive HPC applications that target leadership class machine. This final report summarizes the major achievements of the project and also points out promising future directions.

  1. An ARM-Compliant Architecture for User Privacy in Smart Cities: SMARTIE—Quality by Design in the IoT

    Directory of Open Access Journals (Sweden)

    V. Beltran

    2017-01-01

    Full Text Available Much has been said about the benefits that the Internet of Things (IoT will bring to citizens’ life. Countless smart objects will be soon offering autonomous behavior in smart environments by sensing the physical world around us, collecting information about us, and taking proactive actions (many times without our consent with the ultimate goal of improving our wellness. Without a strong guarantee on user privacy, the IoT may sound scary for many citizens. Indeed, the IoT-Architecture Reference Model (IoT-ARM is a European effort for promoting IoT quality aspects such as security and privacy. This paper paves the way to the adoption of reference architectures by describing the application of the IoT-ARM within a European-funded project, SMARTIE. The SMARTIE architecture has been designed to empower citizens to take control of their IoT devices and privacy, while guaranteeing scalability for large deployments in smart cities.

  2. Logistic Model to Support Service Modularity for the Promotion of Reusability in a Web Objects-Enabled IoT Environment

    Directory of Open Access Journals (Sweden)

    Muhammad Golam Kibria

    2017-09-01

    Full Text Available Due to a very large number of connected virtual objects in the surrounding environment, intelligent service features in the Internet of Things requires the reuse of existing virtual objects and composite virtual objects. If a new virtual object is created for each new service request, then the number of virtual object would increase exponentially. The Web of Objects applies the principle of service modularity in terms of virtual objects and composite virtual objects. Service modularity is a key concept in the Web Objects-Enabled Internet of Things (IoT environment which allows for the reuse of existing virtual objects and composite virtual objects in heterogeneous ontologies. In the case of similar service requests occurring at the same, or different locations, the already-instantiated virtual objects and their composites that exist in the same, or different ontologies can be reused. In this case, similar types of virtual objects and composite virtual objects are searched and matched. Their reuse avoids duplication under similar circumstances, and reduces the time it takes to search and instantiate them from their repositories, where similar functionalities are provided by similar types of virtual objects and their composites. Controlling and maintaining a virtual object means controlling and maintaining a real-world object in the real world. Even though the functional costs of virtual objects are just a fraction of those for deploying and maintaining real-world objects, this article focuses on reusing virtual objects and composite virtual objects, as well as discusses similarity matching of virtual objects and composite virtual objects. This article proposes a logistic model that supports service modularity for the promotion of reusability in the Web Objects-enabled IoT environment. Necessary functional components and a flowchart of an algorithm for reusing composite virtual objects are discussed. Also, to realize the service modularity, a use

  3. Logistic Model to Support Service Modularity for the Promotion of Reusability in a Web Objects-Enabled IoT Environment.

    Science.gov (United States)

    Kibria, Muhammad Golam; Ali, Sajjad; Jarwar, Muhammad Aslam; Kumar, Sunil; Chong, Ilyoung

    2017-09-22

    Due to a very large number of connected virtual objects in the surrounding environment, intelligent service features in the Internet of Things requires the reuse of existing virtual objects and composite virtual objects. If a new virtual object is created for each new service request, then the number of virtual object would increase exponentially. The Web of Objects applies the principle of service modularity in terms of virtual objects and composite virtual objects. Service modularity is a key concept in the Web Objects-Enabled Internet of Things (IoT) environment which allows for the reuse of existing virtual objects and composite virtual objects in heterogeneous ontologies. In the case of similar service requests occurring at the same, or different locations, the already-instantiated virtual objects and their composites that exist in the same, or different ontologies can be reused. In this case, similar types of virtual objects and composite virtual objects are searched and matched. Their reuse avoids duplication under similar circumstances, and reduces the time it takes to search and instantiate them from their repositories, where similar functionalities are provided by similar types of virtual objects and their composites. Controlling and maintaining a virtual object means controlling and maintaining a real-world object in the real world. Even though the functional costs of virtual objects are just a fraction of those for deploying and maintaining real-world objects, this article focuses on reusing virtual objects and composite virtual objects, as well as discusses similarity matching of virtual objects and composite virtual objects. This article proposes a logistic model that supports service modularity for the promotion of reusability in the Web Objects-enabled IoT environment. Necessary functional components and a flowchart of an algorithm for reusing composite virtual objects are discussed. Also, to realize the service modularity, a use case scenario is

  4. Memoised Garbage Collection for Software Model Checking

    NARCIS (Netherlands)

    Nguyen, V.Y.; Ruys, T.C.; Kowalewski, S.; Philippou, A.

    Virtual machine based software model checkers like JPF and MoonWalker spend up to half of their veri��?cation time on garbage collection. This is no surprise as after nearly each transition the heap has to be cleaned from garbage. To improve this, this paper presents the Memoised Garbage Collection

  5. Modeling and simulation of blood collection systems.

    Science.gov (United States)

    Alfonso, Edgar; Xie, Xiaolan; Augusto, Vincent; Garraud, Olivier

    2012-03-01

    This paper addresses the modeling and simulation of blood collection systems in France for both fixed site and mobile blood collection with walk in whole blood donors and scheduled plasma and platelet donors. Petri net models are first proposed to precisely describe different blood collection processes, donor behaviors, their material/human resource requirements and relevant regulations. Petri net models are then enriched with quantitative modeling of donor arrivals, donor behaviors, activity times and resource capacity. Relevant performance indicators are defined. The resulting simulation models can be straightforwardly implemented with any simulation language. Numerical experiments are performed to show how the simulation models can be used to select, for different walk in donor arrival patterns, appropriate human resource planning and donor appointment strategies.

  6. Java I/O

    CERN Document Server

    Harold, Elliotte Rusty

    2006-01-01

    All of Java's Input/Output (I/O) facilities are based on streams, which provide simple ways to read and write data of different types. Java provides many different kinds of streams, each with its own application. The universe of streams is divided into four largecategories: input streams and output streams, for reading and writing binary data; and readers and writers, for reading and writing textual (character) data. You're almost certainly familiar with the basic kinds of streams--but did you know that there's a CipherInputStream for reading encrypted data? And a ZipOutputStream for automati

  7. Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond

    OpenAIRE

    Arshad, R; Zahoor, S.; Shah, M. A.; Wahid, A.; Yu, Hongnian

    2017-01-01

    Internet of Things (IoT) is an emerging concept which aims to connect billions of devices with each other. The IoT devices sense, collect and transmit important information from their surroundings. This exchange of very large amount of information amongst billions of devices creates a massive energy need. Green IoT envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Inspired by achieving a sustainable environment for IoT, we first give the ...

  8. Empirical questions for collective-behaviour modelling

    Indian Academy of Sciences (India)

    Abstract. The collective behaviour of groups of social animals has been an active topic of study across many disciplines, and has a long history of modelling. Classical models have been successful in capturing the large-scale patterns formed by animal aggregations, but fare less well in accounting for details, particularly for ...

  9. Empirical questions for collective-behaviour modelling

    Indian Academy of Sciences (India)

    2015-02-04

    Feb 4, 2015 ... The collective behaviour of groups of social animals has been an active topic of study across many disciplines, and has a long history of modelling. Classical models have been successful in capturing the large-scale patterns formed by animal aggregations, but fare less well in accounting for details, ...

  10. Modeling collective cell migration in geometric confinement

    Science.gov (United States)

    Tarle, Victoria; Gauquelin, Estelle; Vedula, S. R. K.; D'Alessandro, Joseph; Lim, C. T.; Ladoux, Benoit; Gov, Nir S.

    2017-06-01

    Monolayer expansion has generated great interest as a model system to study collective cell migration. During such an expansion the culture front often develops ‘fingers’, which we have recently modeled using a proposed feedback between the curvature of the monolayer’s leading edge and the outward motility of the edge cells. We show that this model is able to explain the puzzling observed increase of collective cellular migration speed of a monolayer expanding into thin stripes, as well as describe the behavior within different confining geometries that were recently observed in experiments. These comparisons give support to the model and emphasize the role played by the edge cells and the edge shape during collective cell motion.

  11. Privacy aware on-demand resource provisioning for IoT data processing

    OpenAIRE

    Kirkham, Tom; Sinha, Arnab; Parlavantzas, Nikos; Kryza, Bartosz; Fremantle, Paul; Kritikos, Kyriakos; Aziz, Benjamin

    2016-01-01

    Edge processing in IoT networks offers the ability to enforce privacy at the point of data collection. However, such enforcement requires extra processing in terms of data filtering and the ability to configure the device with knowledge of policy. Supporting this processing with Cloud resources can reduce the burden this extra processing places on edge processing nodes and provide a route to enable user defined policy. Research from the PaaSage project on Cloud modelling language is applied t...

  12. Modelling fuel consumption in kerbside source segregated food waste collection: separate collection and co-collection.

    Science.gov (United States)

    Chu, T W; Heaven, S; Gredmaier, L

    2015-01-01

    Source separated food waste is a valuable feedstock for renewable energy production through anaerobic digestion, and a variety of collection schemes for this material have recently been introduced. The aim of this study was to identify options that maximize collection efficiency and reduce fuel consumption as part of the overall energy balance. A mechanistic model was developed to calculate the fuel consumption of kerbside collection of source segregated food waste, co-mingled dry recyclables and residual waste. A hypothetical city of 20,000 households was considered and nine scenarios were tested with different combinations of collection frequencies, vehicle types and waste types. The results showed that the potential fuel savings from weekly and fortnightly co-collection of household waste range from 7.4% to 22.4% and 1.8% to 26.6%, respectively, when compared to separate collection. A compartmentalized vehicle split 30:70 always performed better than one with two compartments of equal size. Weekly food waste collection with alternate weekly collection of the recyclables and residual waste by two-compartment collection vehicles was the best option to reduce the overall fuel consumption.

  13. Consistent quadrupole-octupole collective model

    Science.gov (United States)

    Dobrowolski, A.; Mazurek, K.; Góźdź, A.

    2016-11-01

    Within this work we present a consistent approach to quadrupole-octupole collective vibrations coupled with the rotational motion. A realistic collective Hamiltonian with variable mass-parameter tensor and potential obtained through the macroscopic-microscopic Strutinsky-like method with particle-number-projected BCS (Bardeen-Cooper-Schrieffer) approach in full vibrational and rotational, nine-dimensional collective space is diagonalized in the basis of projected harmonic oscillator eigensolutions. This orthogonal basis of zero-, one-, two-, and three-phonon oscillator-like functions in vibrational part, coupled with the corresponding Wigner function is, in addition, symmetrized with respect to the so-called symmetrization group, appropriate to the collective space of the model. In the present model it is D4 group acting in the body-fixed frame. This symmetrization procedure is applied in order to provide the uniqueness of the Hamiltonian eigensolutions with respect to the laboratory coordinate system. The symmetrization is obtained using the projection onto the irreducible representation technique. The model generates the quadrupole ground-state spectrum as well as the lowest negative-parity spectrum in 156Gd nucleus. The interband and intraband B (E 1 ) and B (E 2 ) reduced transition probabilities are also calculated within those bands and compared with the recent experimental results for this nucleus. Such a collective approach is helpful in searching for the fingerprints of the possible high-rank symmetries (e.g., octahedral and tetrahedral) in nuclear collective bands.

  14. Locust Collective Motion and Its Modeling.

    Directory of Open Access Journals (Sweden)

    Gil Ariel

    2015-12-01

    Full Text Available Over the past decade, technological advances in experimental and animal tracking techniques have motivated a renewed theoretical interest in animal collective motion and, in particular, locust swarming. This review offers a comprehensive biological background followed by comparative analysis of recent models of locust collective motion, in particular locust marching, their settings, and underlying assumptions. We describe a wide range of recent modeling and simulation approaches, from discrete agent-based models of self-propelled particles to continuous models of integro-differential equations, aimed at describing and analyzing the fascinating phenomenon of locust collective motion. These modeling efforts have a dual role: The first views locusts as a quintessential example of animal collective motion. As such, they aim at abstraction and coarse-graining, often utilizing the tools of statistical physics. The second, which originates from a more biological perspective, views locust swarming as a scientific problem of its own exceptional merit. The main goal should, thus, be the analysis and prediction of natural swarm dynamics. We discuss the properties of swarm dynamics using the tools of statistical physics, as well as the implications for laboratory experiments and natural swarms. Finally, we stress the importance of a combined-interdisciplinary, biological-theoretical effort in successfully confronting the challenges that locusts pose at both the theoretical and practical levels.

  15. Adopting the Essence Framework to Derive a Practice Library for the Development of IoT Systems

    NARCIS (Netherlands)

    Giray, Görkem; Tekinerdogan, B.; Tüzün, E.

    2018-01-01

    The Internet of Things (IoT) is a global network of smart devices which enables these objects to collect and exchange data. Research in the IoT is still progressing, and it is now being applied in various domains. One of the key observations is that the development of IoT systems is not trivial and

  16. Rethinking key–value store for parallel I/O optimization

    Energy Technology Data Exchange (ETDEWEB)

    Kougkas, Anthony; Eslami, Hassan; Sun, Xian-He; Thakur, Rajeev; Gropp, William

    2015-01-26

    Key-value stores are being widely used as the storage system for large-scale internet services and cloud storage systems. However, they are rarely used in HPC systems, where parallel file systems are the dominant storage solution. In this study, we examine the architecture differences and performance characteristics of parallel file systems and key-value stores. We propose using key-value stores to optimize overall Input/Output (I/O) performance, especially for workloads that parallel file systems cannot handle well, such as the cases with intense data synchronization or heavy metadata operations. We conducted experiments with several synthetic benchmarks, an I/O benchmark, and a real application. We modeled the performance of these two systems using collected data from our experiments, and we provide a predictive method to identify which system offers better I/O performance given a specific workload. The results show that we can optimize the I/O performance in HPC systems by utilizing key-value stores.

  17. A post-Galileo view of Io's interior

    Science.gov (United States)

    Keszthelyi, L.; Jaeger, W.L.; Turtle, E.P.; Milazzo, M.; Radebaugh, J.

    2004-01-01

    We present a self-consistent model for the interior of Io, taking the recent Galileo data into account. In this model, Io has a completely molten core, substantially molten mantle, and a very cold lithosphere. Heat from magmatic activity can mobilize volatile compounds such as SO2 in the lithosphere, and the movement of such cryogenic fluids may be important in the formation of surface features including sapping scarps and paterae. ?? Published by Elsevier Inc.

  18. Background heatflow on hotspot planets - Io and Venus

    Science.gov (United States)

    Stevenson, David J.; Mcnamara, Sean C.

    1988-01-01

    It is suggested that there is no simple relationship between lithospheric thickness and heatflow on planets where volcanism dominates the heatflow. This applies locally and globally, even away from regions of volcanic activity. This indicates that there is no basis for the assumption that the Io heatflow is as low as (or lower than) the hotspot component alone would suggest. A model is presented to describe the heatflow on hotspot planets. The model is applied to Io and Venus.

  19. Mob control models of threshold collective behavior

    CERN Document Server

    Breer, Vladimir V; Rogatkin, Andrey D

    2017-01-01

    This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling.

  20. The modelling cycle for collective animal behaviour.

    Science.gov (United States)

    Sumpter, David J T; Mann, Richard P; Perna, Andrea

    2012-12-06

    Collective animal behaviour is the study of how interactions between individuals produce group level patterns, and why these interactions have evolved. This study has proved itself uniquely interdisciplinary, involving physicists, mathematicians, engineers as well as biologists. Almost all experimental work in this area is related directly or indirectly to mathematical models, with regular movement back and forth between models, experimental data and statistical fitting. In this paper, we describe how the modelling cycle works in the study of collective animal behaviour. We classify studies as addressing questions at different levels or linking different levels, i.e. as local, local to global, global to local or global. We also describe three distinct approaches-theory-driven, data-driven and model selection-to these questions. We show, with reference to our own research on species across different taxa, how we move between these different levels of description and how these various approaches can be applied to link levels together.

  1. Micromanaging the IoT space

    Science.gov (United States)

    Mayer, Irak Vicarte

    2017-05-01

    The speed of IoT devices currently connected in our daily lives has drastically accelerated in the last couple of years. The lack of standardization, regulation, and an efficient process to integrate these devices to our ecosystem has led to a relaxed security and an ineffective use of the data generated. This paper presents a new approach to the IoT ecosystem management that improves data sharing and security by categorizing and micromanaging the connected devices. The use of micromanaging multiple access points (M2AP) allows the architecture to respond faster and efficiently to events and attacks to the digital hive. The "local beehive"/ "master beehive" approach seals a compromise of delegating tasks and improving the network management capacity. Finally, an efficient data storage and compact reports of the raw information collected can then be transmitted to cloud services for further analysis if required.

  2. Developing New Models for Collection Development.

    Science.gov (United States)

    Stoffle, Carla J.; Fore, Janet; Allen, Barbara

    1999-01-01

    Discusses the need to develop new models for collection development in academic libraries, based on experiences at the University of Arizona. Highlights include changes in the organizational chart; focusing on users' information goals and needs; integrative services; shared resources; interlibrary loans; digital technology; and funding. (LRW)

  3. Professional iOS programming

    CERN Document Server

    van de Put, Peter

    2013-01-01

    Hands-on guidance for programming the next generation of iOS apps If you want to create advanced level iOS apps that get noticed in the App Store, start with this expert book. Written by an international software developer and consultant who has delivered winning solutions for clients all over the world, this professional guide helps you build robust, professional iOS apps at a level that satisfies the demands of clients, companies, and your own creativity. The book includes full source code and invaluable insight from the author's extensive experience. Especially helpful are numerous case st

  4. Penerapan Action RPG pada Perangkat Mobile Berbasiskan iOS

    Directory of Open Access Journals (Sweden)

    Budi Yulianto

    2011-12-01

    Full Text Available Mobile games develop along with technological developments. Gaming applications by applying special graphics technologies optimizes any mobile device. The purpose of this study is to design an Action RPG game application by applying Cocos2d technology to be implemented on mobile devices based on IOS operating system. This study performs data collecting and analyzing, interface designing, application implementation, and application evaluation using the Waterfall Model. Data collection is withdrawn from several surveys related to user needs and similar games. Progressing the study, gameplay design is performed using UML, the data storage structure, and interface design. The study results in an Action RPG game application that is implemented on mobile devices. The results showes that Action RPG games can be developed by incorporating elements of art, graphics, and stories that enhance user's interests. 

  5. Actor Model of Computation for Scalable Robust Information Systems : One computer is no computer in IoT

    OpenAIRE

    Hewitt, Carl

    2015-01-01

    International audience; The Actor Model is a mathematical theory that treats “Actors” as the universal conceptual primitives of digital computation. Hypothesis: All physically possible computation can be directly implemented using Actors.The model has been used both as a framework for a theoretical understanding of concurrency, and as the theoretical basis for several practical implementations of concurrent systems. The advent of massive concurrency through client-cloud computing and many-cor...

  6. The IoT Rockbolt

    OpenAIRE

    Delsing, Jerker; Eliasson, Jens; Punal, Pablo; Gebart, Joakim

    2015-01-01

    The use of rock bolts in the mining industry is a widely used approach for increasing mine stability. Here we demonstrate an IoT rockbolt with strain and accelerometer sensors. By utilizing the real-time monitoring capabilities of a network of IoT rockbolts, open up for drastically improve monitoring of mining activities and thereby providing real time logistics and operational information while at the same time provide working safety information.

  7. Enabling IoT ecosystems through platform interoperability

    OpenAIRE

    Bröring, Arne; Schmid, Stefan; Schindhelm, Corina-Kim; Khelil, Abdelmajid; Kabisch, Sebastian; Kramer, Denis; Le Phuoc, Danh; MITIC Jelena; Anicic, Darko; Teniente López, Ernest

    2017-01-01

    Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need to negotiate access individually and adapt to the platform-specific API and information models. Having to perform these actions for each platform often outweighs the possible gains from adapting applications to multiple platforms. This fragmentation of the IoT and the missing interoperability result in high entry barriers for developers and prevent the emergence of broa...

  8. Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare

    Directory of Open Access Journals (Sweden)

    Sohail Jabbar

    2017-01-01

    Full Text Available Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools.

  9. Studi atas Pemanfaatan Blockchain bagi Internet of Things (IoT

    Directory of Open Access Journals (Sweden)

    Lathifah Arief

    2017-08-01

    Full Text Available Ekosistem Internet of Things (IoT berkembang dengan sangat cepat dan diperkirakan akan menghubungkan 5-20 miliar perangkat pada tahun 2020. Data yang dihimpun dari perangkat ini akan mencapai jumlah yang sangat besar. Saat ini, ekosistem IoT pada umumnya menggunakan model sistem terpusat. Model tersebut memiliki beberapa kelemahan, seperti biaya pemeliharaan yang relatif tinggi, Sistem terdistribusi dapat menjadi alternatif solusi. Blockchain, teknologi ledger terditribusi, memungkinkan transaksi peer-to-peer tanpa perlu adanya perantara pihak ketiga yang terpercaya. Paper ini bertujuan untuk mengeksplorasi potensi pengintegrasian Blockchain ke dalam ekosistem IoT. Hasil penelitian berupa model dan use-case pemanfaatan Blockchain dalam IoT.

  10. Attraction Based Models of Collective Motion

    OpenAIRE

    Strömbom, Daniel

    2013-01-01

    Animal groups often exhibit highly coordinated collective motion in a variety of situations. For example, bird flocks, schools of fish, a flock of sheep being herded by a dog and highly efficient traffic on an ant trail. Although these phenomena can be observed every day all over the world our knowledge of what rules the individual's in such groups use is very limited. Questions of this type has been studied using so called self-propelled particle (SPP) models, most of which assume that colle...

  11. Collective model for isovector quadrupole vibrations

    Energy Technology Data Exchange (ETDEWEB)

    Nojarov, R.; Faessler, A.

    1987-03-01

    The vibrational model is extended by introducing isospin-dependent collective coordinates, permitting a description out-of-phase neutron-proton vibrations coupled by a density-dependent symmetry energy. The restoring force is calculated microscopically using the wavefunctions of a Woods-Saxon potential and the coupling with three-phonon states is taken into account. The model is able to describe the available experimental data (energies and multipole mixing ratios) on low-lying 2/sup +/ states, which were observed recently in nuclei near the shell closures (/sup 124/Te, /sup 140/Ba, /sup 142/Ce and /sup 144/Nd), supporting the identification of these states as isovector quadrupole vibrations and predicting such states in /sup 126 -130/ Te.

  12. Models for wind turbines - a collection

    Energy Technology Data Exchange (ETDEWEB)

    Larsen, G.C.; Hansen, M.H. (eds.); Baumgart, A.

    2002-02-01

    This report is a collection of notes which were intended to be short communications. Main target of the work presented is to supply new approaches to stability investigations of wind turbines. The authors opinion is that an efficient, systematic stability analysis can not be performed for large systems of differential equations (i.e. the order of the differential equations > 100), because numerical 'effects' in the solution of the equations of motion as initial value problem, eigenvalue problem or whatsoever become predominant. It is therefore necessary to find models which are reduced to the elementary coordinates but which can still describe the physical processes under consideration with sufficiently good accuracy. Such models are presented. (au)

  13. iOS 6 foundations

    CERN Document Server

    Feiler, Jesse

    2013-01-01

    A practical introduction for using iOS 6 to create universal apps If you have prior experience programming in an object-oriented language and are eager to start building universal apps for iPad and iPhone (including the iPod touch), then this is the book for you! Using the latest version of iOS (iOS 6) along with the latest version of Xcode (Xcode 4.5), this book is a practical introduction rather than just a catalog of components. Full-color and packed with groundbreaking, innovative designs, this book teaches you how to create eye-catching, unique apps. Teaches you the va

  14. iOS 5 Essentials

    CERN Document Server

    Daniel, Steven F

    2012-01-01

    Each chapter will take you through a new major feature of iOS 5. You will learn how to integrate each feature into your applications. If you ever wanted to learn about the latest features of iOS 5 and learn how to incorporate Twitter, iCloud and Core Image framework effects functionality into your applications, then this book is for you. You should have a good knowledge of programming experience with Objective-C, and have used Xcode 4. iPhone programming experience is not required.

  15. Students versus IoT Security

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    What happens when you introduce students to IoT security for the first time? In this talk I will tell you about my first experience with IoT Security and the thought process behind the decisions I made.

  16. Dangoraižio projektavimo ypatumai

    Directory of Open Access Journals (Sweden)

    Robertas Volvačiovas

    2011-06-01

    Full Text Available Santrauka. Straipsnyje išskiriami pagrindiniai dangoraižio įgyvendinimo ir gyvavimo etapai, aptariamas dangoraižio projektavimo etapas, dangoraižio techninio projekto (TP ir darbo projekto (DP sudėtis, išskiriamos pagrindinės dangoraižių problemos, iškylančios projektavimo etape, ir pateikiami sprendimo būdai.Straipsnis lietuvių kalba

  17. Learning iOS forensics

    CERN Document Server

    Epifani, Mattia

    2015-01-01

    If you are a digital forensics examiner daily involved in the acquisition and analysis of mobile devices and want to have a complete overview of how to perform your work on iOS devices, this book is definitely for you.

  18. IOS SAFETY APPLICATION FOR UITM

    Directory of Open Access Journals (Sweden)

    MOHAMAD FAHMI HUSSIN

    2016-04-01

    Full Text Available This paper presents an iOS application, which is developed, to ensure that every task related to safety and health such as inspection, deviation analysis and accident reporting becomes more simple and easier. Normally, these three (3 tasks are done separately and the data are saved in different ways. These situations make the tasks become complicated and consume a lot of time. Therefore, this application is developed to overcome all the problems that occurred. The main objective of this application is to allow the user to handle inspection checklist, deviation analysis and accident reporting efficiently by using iOS devices such as iPhone and iPad. Hence, using iOS device, instead of using a lot of paper, can do all the tasks. Using Xcode SDK, which is the software that is used to develop iOS application, developed this application. Xcode use Objective-C as the programming language, which is quite similar with other programming languages such as C and C++. The final result of this project is that this application can handle all the three (3 tasks and the form or the findings can be emailed to the Safety and Health Officer (SHO. This application will reduce time consume to conduct safety inspection, deviation and reporting tasks as well as avoid delay that might happen while using the traditional method.

  19. Temperatures on Io: Implications to Geophysics, Volcanology, and Volatile Transport

    Science.gov (United States)

    McEwen, A. S.; Isbell, N. R.; Edwards, K. E.; Pearl, J. C.

    1996-03-01

    Voyager 1 IRIS spectra of Io from 4- to 55 micrometers wavelength have been further analyzed. We report two advances here: improved pointing corrections for the IRIS observations and improved background thermal models. The pointing corrections allow detailed mapping of thermal anomalies relative to surface features, thus enabling improved geologic interpretations. The identification of low-temperature (T) thermal anomalies due to cooling flows and pyroclastics, and to determination of Io's heat flow. The background Ts also provide important constraints on models of Io's atmosphere and volatile transfers. A new model for Io's surface that has emerged from this and other studies includes 3 basic thermophysical units: (1) bright, SO2-rich regolith with a high thermal inertia over ~80% of the surface; (2) darker, SO2-poor regolith with a low thermal inertia over ~18% of Io; and (3) high-T hot spots over ~2% of the surface. We present new evidence that unit 2 contains ubiquitous low-T geothermal anomalies from cooling volcanic deposits.

  20. uFlip: Understanding Flash IO Patterns

    DEFF Research Database (Denmark)

    Bouganim, Luc; Jonsson, Bjørn; Bonnet, Philippe

    2009-01-01

    want to establish what kind of IOs should be favored (or avoided) when designing algorithms and architectures for flash-based systems. In this paper, we focus on flash IO patterns, that capture relevant distribution of IOs in time and space, and our goal is to quantify their performance. We define uFLIP...

  1. IoT-based Asset Management System for Healthcare-related Industries

    Directory of Open Access Journals (Sweden)

    Lee Carman Ka Man

    2015-11-01

    Full Text Available The healthcare industry has been focusing efforts on optimizing inventory management procedures through the incorporation of Information and Communication Technology, in the form of tracking devices and data mining, to establish ideal inventory models. In this paper, a roadmap is developed towards a technological assessment of the Internet of Things (IoT in the healthcare industry, 2010–2020. According to the roadmap, an IoT-based healthcare asset management system (IoT-HAMS is proposed and developed based on Artificial Neural Network (ANN and Fuzzy Logic (FL, incorporating IoT technologies for asset management to optimize the supply of resources.

  2. AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation

    OpenAIRE

    Xiaoguang, Ren; Xinhai, Xu

    2014-01-01

    Computational fluid dynamics (CFD) simulation often needs to periodically output intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. In this paper, we present asynchronous pipeline I/O (AP-IO) optimization scheme for the periodically snapshot output on the basis of asynchronous I/O and CFD application characteristics. In AP-IO, dedicated background I/O processes or threads are in charge of handling the file write in pip...

  3. High performance parallel I/O

    CERN Document Server

    Prabhat

    2014-01-01

    Gain Critical Insight into the Parallel I/O EcosystemParallel I/O is an integral component of modern high performance computing (HPC), especially in storing and processing very large datasets to facilitate scientific discovery. Revealing the state of the art in this field, High Performance Parallel I/O draws on insights from leading practitioners, researchers, software architects, developers, and scientists who shed light on the parallel I/O ecosystem.The first part of the book explains how large-scale HPC facilities scope, configure, and operate systems, with an emphasis on choices of I/O har

  4. An Intelligent and Secure Health Monitoring Scheme Using IoT Sensor Based on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Jin-Xin Hu

    2017-01-01

    Full Text Available Internet of Things (IoT is the network of physical objects where information and communication technology connect multiple embedded devices to the Internet for collecting and exchanging data. An important advancement is the ability to connect such devices to large resource pools such as cloud. The integration of embedded devices and cloud servers offers wide applicability of IoT to many areas of our life. With the aging population increasing every day, embedded devices with cloud server can provide the elderly with more flexible service without the need to visit hospitals. Despite the advantages of the sensor-cloud model, it still has various security threats. Therefore, the design and integration of security issues, like authentication and data confidentiality for ensuring the elderly’s privacy, need to be taken into consideration. In this paper, an intelligent and secure health monitoring scheme using IoT sensor based on cloud computing and cryptography is proposed. The proposed scheme achieves authentication and provides essential security requirements.

  5. A Proof-of-Concept for Semantically Interoperable Federation of IoT Experimentation Facilities

    Directory of Open Access Journals (Sweden)

    Jorge Lanza

    2016-06-01

    Full Text Available The Internet-of-Things (IoT is unanimously identified as one of the main pillars of future smart scenarios. The potential of IoT technologies and deployments has been already demonstrated in a number of different application areas, including transport, energy, safety and healthcare. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming application silos. A lightweight data centric integration and combination of these silos presents several challenges that still need to be addressed. Indeed, the ability to combine and synthesize data streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potentiality of smart applications in terms of size, scope and targeted business context. In this article, a proof-of-concept implementation that federates two different IoT experimentation facilities by means of semantic-based technologies will be described. The specification and design of the implemented system and information models will be described together with the practical details of the developments carried out and its integration with the existing IoT platforms supporting the aforementioned testbeds. Overall, the system described in this paper demonstrates that it is possible to open new horizons in the development of IoT applications and experiments at a global scale, that transcend the (silo boundaries of individual deployments, based on the semantic interconnection and interoperability of diverse IoT platforms and testbeds.

  6. A Proof-of-Concept for Semantically Interoperable Federation of IoT Experimentation Facilities.

    Science.gov (United States)

    Lanza, Jorge; Sanchez, Luis; Gomez, David; Elsaleh, Tarek; Steinke, Ronald; Cirillo, Flavio

    2016-06-29

    The Internet-of-Things (IoT) is unanimously identified as one of the main pillars of future smart scenarios. The potential of IoT technologies and deployments has been already demonstrated in a number of different application areas, including transport, energy, safety and healthcare. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming application silos. A lightweight data centric integration and combination of these silos presents several challenges that still need to be addressed. Indeed, the ability to combine and synthesize data streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potentiality of smart applications in terms of size, scope and targeted business context. In this article, a proof-of-concept implementation that federates two different IoT experimentation facilities by means of semantic-based technologies will be described. The specification and design of the implemented system and information models will be described together with the practical details of the developments carried out and its integration with the existing IoT platforms supporting the aforementioned testbeds. Overall, the system described in this paper demonstrates that it is possible to open new horizons in the development of IoT applications and experiments at a global scale, that transcend the (silo) boundaries of individual deployments, based on the semantic interconnection and interoperability of diverse IoT platforms and testbeds.

  7. Io in Front of Jupiter

    Science.gov (United States)

    2000-01-01

    Jupiter's four largest satellites, including Io, the golden ornament in front of Jupiter in this image from NASA's Cassini spacecraft, have fascinated Earthlings ever since Galileo Galilei discovered them in 1610 in one of his first astronomical uses of the telescope.Images from Cassini that will be released over the next several days capture each of the four Galilean satellites in their orbits around the giant planet.This true-color composite frame, made from narrow angle images taken on Dec. 12, 2000, captures Io and its shadow in transit against the disk of Jupiter. The distance of the spacecraft from Jupiter was 19.5 million kilometers (12.1 million miles). The image scale is 117 kilometers (73 miles) per pixel.The entire body of Io, about the size of Earth's Moon, is periodically flexed as it speeds around Jupiter and feels, as a result of its non-circular orbit, the periodically changing gravitational pull of the planet. The heat arising in Io's interior from this continual flexure makes it the most volcanically active body in the solar system, with more than 100 active volcanoes. The white and reddish colors on its surface are due to the presence of different sulfurous materials. The black areas are silicate rocks.Cassini is a cooperative project of NASA, the European Space Agency and the Italian Space Agency. The Jet Propulsion Laboratory, a division of the California Institute of Technology in Pasadena, manages the Cassini mission for NASA's Office of Space Science, Washington, D.C.

  8. Autentizace v IoT

    OpenAIRE

    Drápela, Roman

    2017-01-01

    Bakalářská práce se zabývá možnostmi autentizace v IoT. V úvodu práce jsou popsány vybrané autentizační protokoly z oblasti IoT. V další části jsou popsány technologie NFC a BLE, které nacházejí v oblasti IoT uplatnění. V rámci práce je prakticky imple- mentován Multi-device protokol HDM16 na různých platformách (PC, mobilní telefon, SmartWatch). Protokol umožňuje autentizaci založenou na operacích nad eliptickými křivkami. Nad protokolem jsou provedeny dvě měření (simulované a praktické). V ...

  9. Attack tree analysis for insider threats on the IoT using isabelle

    DEFF Research Database (Denmark)

    Kammüller, Florian; Nurse, Jason R. C.; Probst, Christian W.

    2016-01-01

    The Internet-of-Things (IoT) aims at integrating small devices around humans. The threat from human insiders in "regular" organisations is real; in a fully-connected world of the IoT, organisations face a substantially more severe security challenge due to unexpected access possibilities...... and information flow. In this paper, we seek to illustrate and classify insider threats in relation to the IoT (by ‘smart insiders’), exhibiting attack vectors for their characterisation. To model the attacks we apply a method of formal modelling of Insider Threats in the interactive theorem prover Isabelle....... On the classified IoT attack examples, we show how this logical approach can be used to make the models more precise and to analyse the previously identified Insider IoT attacks using Isabelle attack trees....

  10. Development of eStudent iOS mobile application

    Directory of Open Access Journals (Sweden)

    Mladjan Antic

    2013-01-01

    Full Text Available Abstract— iOS is the Apple mobile operating system, for Apple mobile devices. Initially developed for iPhone, and later for iPod Touch, iPad, AppleTV. The Metropolitan University has a Web application titled eStudent, which enables students by Web to get information about their marks for all subjects, their financies, exam scheduling, professors and assistents, and send exam registration and feedback about teaching, etc. This paper explains the development of the mobile application eStudent on the iOS platform. This application enables students whenever they want, by using their iPhone mobile phone, to get access to the information from the eStudent Web application, and to present it on their iPhone User Interface (UI. This paper explains in details software requirements analysis, system architecture, system modelling, and UI of the eStudent iOS mobile application.

  11. An Optimizing Compiler for Petascale I/O on Leadership-Class Architectures

    Energy Technology Data Exchange (ETDEWEB)

    Kandemir, Mahmut Taylan [PSU; Choudary, Alok [Northwestern; Thakur, Rajeev [ANL

    2014-03-01

    In high-performance computing (HPC), parallel I/O architectures usually have very complex hierarchies with multiple layers that collectively constitute an I/O stack, including high-level I/O libraries such as PnetCDF and HDF5, I/O middleware such as MPI-IO, and parallel file systems such as PVFS and Lustre. Our DOE project explored automated instrumentation and compiler support for I/O intensive applications. Our project made significant progress towards understanding the complex I/O hierarchies of high-performance storage systems (including storage caches, HDDs, and SSDs), and designing and implementing state-of-the-art compiler/runtime system technology that targets I/O intensive HPC applications that target leadership class machine. This final report summarizes the major achievements of the project and also points out promising future directions Two new sections in this report compared to the previous report are IOGenie and SSD/NVM-specific optimizations.

  12. Models for wind turbines - a collection

    DEFF Research Database (Denmark)

    2002-01-01

    This report is a collection of notes which were intended to be short communications. Main target of the work presented is to supply new approaches to stability investigations of wind turbines. The author's opinion is that an efficient, systematicstability analysis can not be performed for large...

  13. Trilinos I/O Support (Trios

    Directory of Open Access Journals (Sweden)

    Ron A. Oldfield

    2012-01-01

    Full Text Available Trilinos I/O Support (Trios is a new capability area in Trilinos that serves two important roles: (1 it provides and supports I/O libraries used by in-production scientific codes; (2 it provides a research vehicle for the evaluation and distribution of new techniques to improve I/O on advanced platforms. This paper provides a brief overview of the production-grade I/O libraries in Trios as well as some of the ongoing research efforts that contribute to the experimental libraries in Trios.

  14. Security without IoT Mandatory Backdoors

    OpenAIRE

    Hewitt, Carl

    2016-01-01

    https://plus.google.com/+CarlHewitt-StandardIoT/The Internet of Things (IoT) is becoming pervasive in all aspects of life including personal, corporate, government, and social. Adopting mandatory backdoors for every IoT device ultimately means that security agencies of each country surveil IoT in their own country and perhaps swap surveillance information with other countries. Security agencies have proposed that it must be possible for them to secretly access and take control of any individu...

  15. Jovian VLF chorus and Io torus aurora

    Science.gov (United States)

    Inan, U. S.

    1986-01-01

    A test particle model of the cyclotron resonance interaction of waves and trapped radiation belt particles is used to estimate the energetic electron fluxes precipitated by Jovian VLF chorus waves observed on the Voyager 1 and 2 spacecraft near the Io torus. The precipitation fluxes induced by 1-s-long chorus wave packets at L = 7.6 and 8.6 are estimated to be bursts of 5s duration with a peak of 0.3-3 and 0.7-7 ergs/sq cm s that consist of electrons of 5-100 keV energy and that arrives at the ionosphere 15 s after the generation of the chorus wave at the equatorial plane. The effects in the Jovian ionosphere of the chorus-induced precipitation are estimated using existing ionospheric models. A possible experiment for measuring Jovian chorus-induced aurora is proposed and discussed.

  16. Three Proposed Data Collection Models for Annual Inventories

    Science.gov (United States)

    Greg Reams; Bill Smith; Bill Bechtold; Ron McRoberts; Frank Spirek; Chuck Liff

    2005-01-01

    Three competing data collection models for the U.S. Department of Agriculture Forest Service Forest Inventory and Analysis (FIA) program?s annual inventories are presented. We show that in the presence of panel creep, the model now in place does not meet requirements of an annual inventory system mandated by the 1998 Farm Bill. Two data-collection models that use...

  17. Io Eclipse/Volcanic Eruption

    Science.gov (United States)

    1997-01-01

    This image was acquired while Io was in eclipse (in Jupiter's shadow) during Galileo's eighth orbit, and reveals several dynamic processes. The most intense features are red, while glows of lesser intensity are yellow or green, and very faint glows appear blue in this color-coded image. The small red or yellow spots mark the sites of high-temperature magma erupting onto the surface in lava flows or lava lakes.This image reveals a field of bright spots near Io's sub-Jupiter point (right-hand side of image). The sub-Jupiter hemisphere always faces Jupiter just as the Moon's nearside always faces Earth. There are extended diffuse glows on the equatorial limbs or edges of the planet (right and left sides). The glow on the left is over the active volcanic plume Prometheus, but whereas Prometheus appears to be 75 kilometers (46.6 miles) high in reflected light, here the diffuse glow extends about 800 kilometers (497 miles) from Io's limb. This extended glow indicates that gas or small particles reach much greater heights than the dense inner plume. The diffuse glow on the right side reaches a height of 400 kilometers (249 miles), and includes a prominence with a plume-like shape. However, no volcanic plume has been seen at this location in reflected light. This type of observation is revealing the relationships between Io's volcanism, atmosphere and exosphere.Taken on May 6, 1997, north is toward the top. The image was taken with the clear filter of the solid state imaging (CCD) system on NASA's Galileo spacecraft at a range of 1.8 million kilometers (1.1 million miles).The Jet Propulsion Laboratory, Pasadena, CA manages the Galileo mission for NASA's Office of Space Science, Washington, DC. JPL is an operating division of California Institute of Technology (Caltech).This image and other images and data received from Galileo are posted on the World Wide Web, on the Galileo mission home page at URL http://galileo.jpl.nasa.gov. Background information and educational

  18. EDGE TECHNOLOGIES IN IoT AND APPLICATION SCENARIO OF RFID BASED IoT

    OpenAIRE

    Dharam Gami *, Asst. Prof. Dhaval Nimavat, Asst. Prof. Shubham Sharma

    2016-01-01

    Internet of Things possesses the power to change the era. IoT will offer an advance connectivity between objects which will change the face of machine-to-machine communication. IoT will connect autonomous systems, devices and heterogeneous machines and make them communicate without human interactions. Many technologies will play significant role in IoT implementation. In this paper, we aim to describe the candidate of edge technologies in IoT and demonstrate how RFID based IoT system will loo...

  19. A Step Towards Checking Security in IoT

    National Research Council Canada - National Science Library

    Bodei, Chiara; Degano, Pierpaolo; Ferrari, Gian-Luigi; Galletta, Letterio

    2016-01-01

    The Internet of Things (IoT) is smartifying our everyday life. Our starting point is IoT-LySa, a calculus for describing IoT systems, and its static analysis, which will be presented at Coordination 2016...

  20. Constructing Multidatabase Collections Using Extended ODMG Object Model

    Directory of Open Access Journals (Sweden)

    Adrian Skehill Mark Roantree

    1999-11-01

    Full Text Available Collections are an important feature in database systems. They provide us with the ability to group objects of interest together, and then to manipulate them in the required fashion. The OASIS project is focused on the construction a multidatabase prototype which uses the ODMG model and a canonical model. As part of this work we have extended the base model to provide a more powerful collection mechanism, and to permit the construction of a federated collection, a collection of heterogenous objects taken from distributed data sources

  1. Ground-Based Observattions of IO

    Science.gov (United States)

    Matson, D. L.

    1986-06-01

    Io is the most geologically active of all the planets or satellites in the solar system. Most of what is known about it has been discovered in the past decade. This paper reviews recent advances in the knowledge of Io's surface, with emphasis placed on facts obtained using astronomical instruments on the ground and in Earth-orbit.

  2. Volcanic Degassing of Hydrogen Compounds on Io

    Science.gov (United States)

    Zolotov, M. Yu.; Fegley, B., Jr.

    2000-01-01

    Thermodynamic calculations show that hydrogen, recently detected in Io's ionosphere by the Galileo spacecraft, can degas from high-temperature silicate magmas on Io in the form of H2O, H2S, HS, NaOH, H2, KOH, and HCl in order of decreasing abundance.

  3. Understanding Information Hiding in iOS

    OpenAIRE

    Caviglione, Luca; Mazurczyk, Wojciech

    2014-01-01

    The Apple operating system (iOS) has so far proved resistant to information-hiding techniques, which help attackers covertly communicate. However, Siri - a native iOS service that controls iPhones and iPads via voice commands - could change this trend.

  4. Sesame IO Library User Manual Version 8

    Energy Technology Data Exchange (ETDEWEB)

    Abhold, Hilary [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Young, Ginger Ann [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-05-15

    This document is a user manual for SES_IO, a low-level library for reading and writing sesame files. The purpose of the SES_IO library is to provide a simple user interface for accessing and creating sesame files that does not change across sesame format type (such as binary, ascii, and xml).

  5. Behavioural informatics for improving water hygiene practice based on IoT environment.

    Science.gov (United States)

    Fu, Yang; Wu, Wenyan

    2018-02-01

    The development of Internet of Things (IoT) and latest Information and Communication Technologies (ICT) have changed the nature of healthcare monitoring and health behaviour intervention in many applications. Water hygiene and water conservation behaviour intervention as important influence factors to human health are gaining much attentions for improving sustained sanitation practice. Based on face-to-face delivery, typical behaviour intervention method is costly and hardly to provide all day access to personalised intervention guidance and feedbacks. In this study, we presented a behavioural information system and water use behaviour model using IoT platform. Using Expanded Theory of Planned Behaviour (ETPB) and adopted structure equation model, this study offers a solution for understanding the behaviour intervention mechanism and methodology for developing empirical model. A case study of behaviour intervention model is presented by utilising residential water conservation behaviour data collected in China. Results suggested that cultural differences have significant influences on the understanding of intervention drivers, promoting projects and increasing awareness, which could improve the behaviour intervention efficiency and further facilitate the improvement of water hygiene practice. The performance evaluation of water saving dimension is discussed as well in the paper. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. A Computational Model of Crowds for Collective Intelligence

    OpenAIRE

    Prpic, John; Jackson, Piper; Nguyen, Thai

    2014-01-01

    In this work, we present a high-level computational model of IT-mediated crowds for collective intelligence. We introduce the Crowd Capital perspective as an organizational-level model of collective intelligence generation from IT-mediated crowds, and specify a computational system including agents, forms of IT, and organizational knowledge.

  7. LASeR: Lightweight Authentication and Secured Routing for NDN IoT in Smart Cities

    OpenAIRE

    Mick, Travis; Tourani, Reza; Misra, Satyajayant

    2017-01-01

    Recent literature suggests that the Internet of Things (IoT) scales much better in an Information-Centric Networking (ICN) model instead of the current host-centric Internet Protocol (IP) model. In particular, the Named Data Networking (NDN) project (one of the ICN architecture flavors) offers features exploitable by IoT applications, such as stateful forwarding, in- network caching, and built-in assurance of data provenance. Though NDN-based IoT frameworks have been proposed, none have adequ...

  8. Case Study: IoT Data Integration for Higher Education Institution

    Directory of Open Access Journals (Sweden)

    Pinka Krišjānis

    2016-12-01

    Full Text Available Nowadays the Internet of Things (IoT is one of the most trending technologies. It is expected that by year 2020 there will be 50 billion of Internet-connected devices. Fields like smart cities and smart homes largely rely on IoT phenomena by using a wide variety of sensors for data collection, analysis and corresponding actions. The paper describes how this trending and relatively new technology is applied at Riga Technical University for educational purposes.

  9. iOS app development for dummies

    CERN Document Server

    Feiler, Jesse

    2014-01-01

    If you've got incredible iOS ideas, get this book and bring them to life! iOS 7 represents the most significant update to Apple's mobile operating system since the first iPhone was released, and even the most seasoned app developers are looking for information on how to take advantage of the latest iOS 7 features in their app designs. That's where iOS App Development For Dummies comes in! Whether you're a programming hobbyist wanting to build an app for fun or a professional developer looking to expand into the iOS market, this book will walk you through the fundamentals of building a univer

  10. Active Volcanic Eruptions on Io

    Science.gov (United States)

    1996-01-01

    Six views of the volcanic plume named Prometheus, as seen against Io's disk and near the bright limb (edge) of the satellite by the SSI camera on the Galileo spacecraft during its second (G2) orbit of Jupiter. North is to the top of each frame. To the south-southeast of Prometheus is another bright spot that appears to be an active plume erupting from a feature named Culann Patera. Prometheus was active 17 years ago during both Voyager flybys, but no activity was detected by Voyager at Culann. Both of these plumes were seen to glow in the dark in an eclipse image acquired by the imaging camera during Galileo's first (G1) orbit, and hot spots at these locations were detected by Galileo's Near-Infrared Mapping Spectrometer.The plumes are thought to be driven by heating sulfur dioxide in Io's subsurface into an expanding fluid or 'geyser'. The long-lived nature of these eruptions requires that a substantial supply of sulfur dioxide must be available in Io's subsurface, similar to groundwater. Sulfur dioxide gas condenses into small particles of 'snow' in the expanding plume, and the small particles scatter light and appear bright at short wavelengths. The images shown here were acquired through the shortest-wavelength filter (violet) of the Galileo camera. Prometheus is about 300 km wide and 75 km high and Culann is about 150 km wide and less than 50 km high. The images were acquired on September 4, 1996 at a range of 2,000,000 km (20 km/pixel resolution). Prometheus is named after the Greek fire god and Culann is named after the Celtic smith god.The Jet Propulsion Laboratory, Pasadena, CA manages the Galileo mission for NASA's Office of Space Science, Washington, DC. JPL is an operating division of California Institute of Technology (Caltech).This image and other images and data received from Galileo are posted on the World Wide Web, on the Galileo mission home page at URL http://galileo.jpl.nasa.gov. Background information and educational context for the images can

  11. Sources of Na for the Io atmosphere

    Science.gov (United States)

    Burnett, D. S.; Ellis, Susan B.; Rice, A.; Epstein, S.

    1993-01-01

    The physics and geology of Io have been extensively studied, but there has been little discussion of the chemistry. Relatively little is known about Io chemistry, but there are constraints. Further, it will be a long time before improvements will result from direct observation, given the severe difficulties with the Galileo mission. Via laboratory simulation experiments, plausible thermochemical and photochemical processes which determine the nature and amounts of surface constituents of Io are explored. The well-known density of Io shows that the planet overall is rocky. Because the orbit of Io is well within the magnetosphere of Jupiter and because Io only has a thin, transient SO2 atmosphere, the surface is continually sputtered with magnetospheric ions. Complex processes ionize and accelerate the Io surface atoms to keV and MeV energies. Remarkably, only S, O, and Na ions were found by Voyager. Sputtering also produces an atomic cloud of Na and S (O not observable) with a trace of K. Both gaseous and solid SO2 are known from spectroscopic studies. A trace of H2S and possibly CO2 are present. Geologic features are interpreted in terms of elemental S, but there is no direct evidence for this constituent. We thus have a rocky planet which does not have rocks on the surface. Our general goal is to understand the cycling of Na, S, and O through the crust and atmosphere on present-day Io and to understand how Io evolved to this state. A specific objective was to determine the phases on the surface which are the source of the Na in the atmosphere of Io.

  12. Pele Plume Deposit on Io

    Science.gov (United States)

    1997-01-01

    The varied effects of Ionian volcanism can be seen in this false color infrared composite image of Io's trailing hemisphere. Low resolution color data from Galileo's first orbit (June, 1996) have been combined with a higher resolution clear filter picture taken on the third orbit (November, 1996) of the spacecraft around Jupiter.A diffuse ring of bright red material encircles Pele, the site of an ongoing, high velocity volcanic eruption. Pele's plume is nearly invisible, except in back-lit photographs, but its deposits indicate energetic ejection of sulfurous materials out to distances more than 600 kilometers from the central vent. Another bright red deposit lies adjacent to Marduk, also a currently active ediface. High temperature hot spots have been detected at both these locations, due to the eruption of molten material in lava flows or lava lakes. Bright red deposits on Io darken and disappear within years or decades of deposition, so the presence of bright red materials marks the sites of recent volcanism.This composite was created from data obtained by the Solid State Imaging (CCD) system aboard NASA's Galileo spacecraft. The region imaged is centered on 15 degrees South, 224 degrees West, and is almost 2400 kilometers across. The finest details that can be discerned in this picture are about 3 kilometers across. North is towards the top of the picture and the sun illuminates the surface from the west.The Jet Propulsion Laboratory, Pasadena, CA manages the mission for NASA's Office of Space Science, Washington, DC.This image and other images and data received from Galileo are posted on the World Wide Web, on the Galileo mission home page at URL http://galileo.jpl.nasa.gov. Background information and educational context for the images can be found at URL http://www.jpl.nasa.gov/galileo/sepo

  13. Automatic Identification of Application I/O Signatures from Noisy Server-Side Traces

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Yang [ORNL; Gunasekaran, Raghul [ORNL; Ma, Xiaosong [ORNL; Vazhkudai, Sudharshan S [ORNL

    2014-01-01

    Competing workloads on a shared storage system cause I/O resource contention and application performance vagaries. This problem is already evident in today s HPC storage systems and is likely to become acute at exascale. We need more interaction between application I/O requirements and system software tools to help alleviate the I/O bottleneck, moving towards I/O-aware job scheduling. However, this requires rich techniques to capture application I/O characteristics, which remain evasive in production systems. Traditionally, I/O characteristics have been obtained using client-side tracing tools, with drawbacks such as non-trivial instrumentation/development costs, large trace traffic, and inconsistent adoption. We present a novel approach, I/O Signature Identifier (IOSI), to characterize the I/O behavior of data-intensive applications. IOSI extracts signatures from noisy, zero-overhead server-side I/O throughput logs that are already collected on today s supercomputers, without interfering with the compiling/execution of applications. We evaluated IOSI using the Spider storage system at Oak Ridge National Laboratory, the S3D turbulence application (running on 18,000 Titan nodes), and benchmark-based pseudo-applications. Through our ex- periments we confirmed that IOSI effectively extracts an application s I/O signature despite significant server-side noise. Compared to client-side tracing tools, IOSI is transparent, interface-agnostic, and incurs no overhead. Compared to alternative data alignment techniques (e.g., dynamic time warping), it offers higher signature accuracy and shorter processing time.

  14. Hot-spot tectonics on Io

    Science.gov (United States)

    Mcewen, A. S.

    1985-01-01

    The thesis is that extensional tectonics and low-angle detachment faults probably occur on Io in association with the hot spots. These processes may occur on a much shorter timescale on Ion than on Earth, so that Io could be a natural laboratory for the study of thermotectonics. Furthermore, studies of heat and detachment in crustal extension on Earth and the other terresrial planets (especially Venus and Mars) may provide analogs to processes on Io. The geology of Io is dominated by volcanism and hot spots, most likely the result of tidal heating. Hot spots cover 1 to 2% of Io's surface, radiating at temperatures typically from 200 to 400 K, and occasionally up to 700K. Heat loss from the largest hot spots on Io, such as Loki Patera, is about 300 times the heat loss from Yellowstone, so a tremendous quantity of energy is available for volcanic and tectonic work. Active volcanism on Io results in a resurfacing rate as high as 10 cm per year, yet many structural features are apparent on the surface. Therefore, the tectonics must be highly active.

  15. Internet of Things (IoT) Business Opportunities – Value Propositions for Customers

    OpenAIRE

    Van Leemput, Elena

    2014-01-01

    The objective of this study is to better understand the IoT business landscape and opportunities. One intention is to identify the needs of companies in IoT and how they capture value. Another intention is to identify partners and competitors and how companies help each other create value in the IoT ecosystem. The conceptual framework was based on value propositions, value creation and capture as well as Business Model generation according to Grönroos, Vargo & Lusch, Anderson et al. and O...

  16. Patient participation in collective healthcare decision making: the Dutch model

    NARCIS (Netherlands)

    van de Bovenkamp, H.; Trappenburg, M.J.|info:eu-repo/dai/nl/111650836; Grit, K.

    2010-01-01

    Objective To study whether the Dutch participation model is a good model of participation. Background Patient participation is on the agenda, both on the individual and the collective level. In this study, we focus on the latter by looking at the Dutch model in which patient organizations are

  17. Patient participation in collective healthcare decision making: the Dutch model

    NARCIS (Netherlands)

    van de Bovenkamp, H.M.; Trappenburg, M.J.; Grit, K.J.

    2010-01-01

    Objective  To study whether the Dutch participation model is a good model of participation. Background  Patient participation is on the agenda, both on the individual and the collective level. In this study, we focus on the latter by looking at the Dutch model in which patient organizations are

  18. Human‐Centric IoT Networks

    DEFF Research Database (Denmark)

    Mihovska, Albena Dimitrova; Prasad, Ramjee; Pejanovic, Milica

    2017-01-01

    The current Internet of things (IoT) concept is characterized with billions and billions of devices interworking through a myriad of technologies for the delivery of smart personalized services and applications. At the center of these is the human user who drives his/her own interconnected cluster....... This concept has also been introduced elsewhere as “human center sensing (HCS).” The vision pushed by the authors of this chapter for the IoT beyond 2050 is one of the large‐scale and dense HCS connectivities, the complexity of which can be used to extract new IoT value proposition....

  19. Internet of Things (IoT Platform for Structure Health Monitoring

    Directory of Open Access Journals (Sweden)

    Ahmed Abdelgawad

    2017-01-01

    Full Text Available Increase in the demand for reliable structural health information led to the development of Structural Health Monitoring (SHM. Prediction of upcoming accidents and estimation of useful life span of a structure are facilitated through SHM. While data sensing is the core of any SHM, tracking the data anytime anywhere is a prevailing challenge. With the advancement in information technology, the concept of Internet of Things (IoT has made it possible to integrate SHM with Internet to track data anytime anywhere. In this paper, a SHM platform embedded with IoT is proposed to detect the size and location of damage in structures. The proposed platform consists of a Wi-Fi module, a Raspberry Pi, an Analog to Digital Converter (ADC, a Digital to Analog Converter (DAC, a buffer, and piezoelectric (PZT sensors. The piezoelectric sensors are mounted as a pair in the structure. Data collected from the piezoelectric sensors will be used to detect the size and location of damage using a proposed mathematical model. Implemented on a Raspberry Pi, the proposed mathematical model will estimate the size and location of structural damage, if any, and upload the data to Internet. This data will be stored and can be checked remotely from any mobile device. The system has been validated using a real test bed in the lab.

  20. Bi2(IO4)(IO3)3: a new potential infrared nonlinear optical material containing [IO4](3-) anion.

    Science.gov (United States)

    Cao, Zhenbo; Yue, Yinchao; Yao, Jiyong; Lin, Zheshuai; He, Ran; Hu, Zhanggui

    2011-12-19

    A new potential infrared (IR) nonlinear optical (NLO) material Bi(2)(IO(4))(IO(3))(3) was synthesized by hydrothermal method. Bi(2)(IO(4))(IO(3))(3) crystallizes in the chiral orthorhombic space group P2(1)2(1)2(1) (No. 19) with a = 5.6831(11) Å, b = 12.394(3) Å, and c = 16.849(3) Å. It exhibits a three-dimensional framework through a combination of the IO(3), IO(4), BiO(8), and BiO(9) polyhedra and is the first noncentrosymmetric (NCS) structure containing [IO4](3-) anion. Bi(2)(IO(4))(IO(3))(3) has an IR cutoff wavelength of 12.3 μm and belongs to the type 1 phase-matchable class with a moderately large SHG response of 5 × KDP, which is in good agreement with the theoretical calculations. © 2011 American Chemical Society

  1. Active Volcanic Plumes on Io

    Science.gov (United States)

    1997-01-01

    This color image, acquired during Galileo's ninth orbit around Jupiter, shows two volcanic plumes on Io. One plume was captured on the bright limb or edge of the moon (see inset at upper right), erupting over a caldera (volcanic depression) named Pillan Patera after a South American god of thunder, fire and volcanoes. The plume seen by Galileo is 140 kilometers (86 miles) high and was also detected by the Hubble Space Telescope. The Galileo spacecraft will pass almost directly over Pillan Patera in 1999 at a range of only 600 kilometers (373 miles).The second plume, seen near the terminator (boundary between day and night), is called Prometheus after the Greek fire god (see inset at lower right). The shadow of the 75-kilometer (45- mile) high airborne plume can be seen extending to the right of the eruption vent. The vent is near the center of the bright and dark rings. Plumes on Io have a blue color, so the plume shadow is reddish. The Prometheus plume can be seen in every Galileo image with the appropriate geometry, as well as every such Voyager image acquired in 1979. It is possible that this plume has been continuously active for more than 18 years. In contrast, a plume has never been seen at Pillan Patera prior to the recent Galileo and Hubble Space Telescope images.North is toward the top of the picture. The resolution is about 6 kilometers (3.7 miles) per picture element. This composite uses images taken with the green, violet and near infrared filters of the solid state imaging (CCD) system on NASA's Galileo spacecraft. The images were obtained on June 28, 1997, at a range of more than 600,000 kilometers (372,000 miles).The Jet Propulsion Laboratory, Pasadena, CA manages the Galileo mission for NASA's Office of Space Science, Washington, DC. JPL is an operating division of California Institute of Technology (Caltech).This image and other images and data received from Galileo are posted on the World Wide Web, on the Galileo mission home page at URL http

  2. Power through Things: Following Traces of Collective Intelligence in Internet of Things

    Directory of Open Access Journals (Sweden)

    Monika Mačiulienė

    2014-10-01

    Full Text Available Purpose – it is becoming increasingly difficult to ignore the input Internet of Things (IoT has to offer in development of public, business and other societal structures. Therefore, paper seeks to determine the current state of knowledge in the field of IoT terms of wisdom creation and emergence of collective intelligence. First, we discuss concept of collective intelligence, then we define phenomena of IoT and identify areas of its application. Later, the author reviews how intelligent outputs of IoT are defined in scientific literature. These findings of theoretical investigation may shed some light on research field that is promising but still very vague.Design/methodology/approach – this article provides a general overview of IoT concept and its growing relation to collective intelligence. Methods of document analysis and content analysis were applied. Theoretical analysis enabled recognition of IoT phenomena in relation to wisdom creation and emergence of collective intelligence.Findings – general overview of the field revealed that new understanding of collective intelligence surfaces. Often intelligent behavior and decisions emerge from ever increasing cooperation between ‘things’ and humans. The variety of new concepts and authors trying to describe relationship of ‘things’ with each other and humans when creating intelligent outcomes revealed that this field is still in its very infancy and still needs considerable amount of industry and scientific efforts to be understood and executed.Research limitations – although the paper has successfully demonstrated that IoT provides vast amounts of data for people to process and create knowledge this could be considered only as initial phase in studying the field. IoT and its intelligent outcomes need more investigations in terms of real life case studies and industry reviews in order to create valid definitions, models and future guidelines. Practical implications – this

  3. Perception Management: A Core IO Capability

    National Research Council Canada - National Science Library

    Zaman, Khyber

    2007-01-01

    This thesis postulates that in today's media environment, with adversaries skillfully using propaganda to skirt nations' resolve, Perception Management is key to military success and should be an Information Operations (IO) Core Capability...

  4. IoT Contextual Factors on Healthcare.

    Science.gov (United States)

    Michalakis, Konstantinos; Caridakis, George

    2017-01-01

    With the emergence of the Internet of Things, new services in healthcare will be available and existing systems will be integrated in the IoT framework, providing automated medical supervision and efficient medical treatment. Context awareness plays a critical role in realizing the vision of the IoT, providing rich contextual information that can help the system act more efficiently. Since context in healthcare has its unique characteristics, it is necessary to define an appropriate context aware framework for healthcare IoT applications. We identify this context as perceived in healthcare applications and describe the context aware procedures. We also present an architecture that connects the sensors that measure biometric data with the sensory networks of the environment and the various IoT middleware that reside in the geographical area. Finally, we discuss the challenges for the realization of this vision.

  5. AntibIoTic: Protecting IoT Devices Against DDoS Attacks

    DEFF Research Database (Denmark)

    De Donno, Michele; Dragoni, Nicola; Giaretta, Alberto

    2018-01-01

    The 2016 is remembered as the year that showed to the world how dangerous Distributed Denial of Service attacks can be. Gauge of the disruptiveness of DDoS attacks is the number of bots involved: the bigger the botnet, the more powerful the attack. This character, along with the increasing...... availability of connected and insecure IoT devices, makes DDoS and IoT the perfect pair for the malware industry. In this paper we present the main idea behind AntibIoTic, a palliative solution to prevent DDoS attacks perpetrated through IoT devices....

  6. Global Geologic Mapping of Io: Preliminary Results

    Science.gov (United States)

    Williams, David A.; Keszthelyi, L. P.; Crown, D. A.; Geissler, P. E.; Schenk, P. M.; Yff, Jessica; Jaeger, W. L.; Rathbun, J. A.

    2008-01-01

    A new global geologic map of Jupiter's volcanic moon, Io is being prepared, with the focus being on completion of a draft map by July 2008. Here initial results of the mapping are reported: a preliminary distribution of material units in terms of areas and a visual representation. Additionally, the mapping hopes to address some of the problems in Io geology. Thus far it has been discovered that Io's surface is dominated by plains material, thought to consist of Io's silicate crust covered by pyroclastic deposits and lava flows of silicate and sulfur-bearing composition. Many plains areas contain flow fields that cannot be mapped separately due to a lack of resolution or modification by alteration processes. Discrete lava flows and flow fields are the next most abundant unit, with bright (sulfur?) flows in greater abundance than dark (silicate?) flows. The source of most of Io's heat flow, the paterae, are the least abundant unit in terms of areal extent.Upon completion of the draft map for peer review, it will be used to investigate several specific questions about the geological evolution of Io that previously could not be well addressed, including: comparison of the areas versus the heights of Ionian mountains to assess their stability and evolution; correlation and comparison of Galileo Near-Infrared Mapping Spectrometer and Photopolarimeter-Radiometer hot spot locations with the mapped location of dark versus bright lava flows and patera floors to assess any variations in the types of sources for Io's active volcanism; and the creation of a global inventory of the areal coverage of dark and bright laval flows to assess the relative importance of sulfur versus silicate volcanism in resurfacing Io, and to assess whether there are regional concentrations of either style of volcanism that may have implications on interior processes.

  7. Societal Change and Transformation by Internet of Things (IoT)

    OpenAIRE

    Mohsen Hallaj Asghar; Gaurav Kumar; Manoj Kumar Patra

    2015-01-01

    IoT has received much attention from scientists, industry and government all over the world for its potential in changing modern day living. IoT is envisioned as billions of sensors connected to the internet through wireless and other communication technologies. The sensors would generate large amount of data which needs to be analyzed, interpreted and utilized. Sensor will be context aware capturing device that enable modeling, interpreting and storing of sensor data which is linked to appro...

  8. Native American Resources: A Model for Collection Development

    Science.gov (United States)

    Taylor, Rhonda Harris; Patterson, Lotsee

    2004-01-01

    This construct for collection development as it relates to Native American resources utilizes Thomas Mann's "Library Research Methods" (1993) concepts of the Traditional Model, the Actual-Practice Model, and the Principle of Least Effort to organize recommendations for both strategies and resources. The three-pronged hierarchical approach to…

  9. I/O Strategies for Multicore Processing in ATLAS

    CERN Document Server

    van Gemmeren, P; The ATLAS collaboration; Calafiura, P; Lavrijsen, W; Malon, D; Tsulaia, V

    2012-01-01

    A critical component of any multicore/manycore application architecture is the handling of input and output. Even in the simplest of models, design decisions interact both in obvious and in subtle ways with persistence strategies. When multiple workers handle I/O independently using distinct instances of a serial I/O framework, for example, it may happen that because of the way data from consecutive events are compressed together, there may be serious inefficiencies, with workers redundantly reading the same buffers, or multiple instances thereof. With shared reader strategies, caching and buffer management by the persistence infrastructure and by the control framework may have decisive performance implications for a variety of design choices. Providing the next event may seem straightforward when all event data are contiguously stored in a block, but there may be performance penalties to such strategies when only a subset of a given event's data are needed; conversely, when event data are partitioned by type...

  10. Internet of things (IoT) in 5G mobile technologies

    CERN Document Server

    Mastorakis, George; Batalla, Jordi

    2016-01-01

    This book reports on the latest advances in the modeling, analysis and efficient management of information in Internet of Things (IoT) applications in the context of 5G access technologies. It presents cutting-edge applications made possible by the implementation of femtocell networks and millimeter wave communications solutions, examining them from the perspective of the universally and constantly connected IoT. Moreover, it describes novel architectural approaches to the IoT and presents the new framework possibilities offered by 5G mobile networks, including middleware requirements, node-centrality and the location of extensive functionalities at the edge. By providing researchers and professionals with a timely snapshot of emerging mobile communication systems, and highlighting the main pitfalls and potential solutions, the book fills an important gap in the literature and will foster the further developments of 5G hosting IoT devices.

  11. Io volcanism seen by new horizons: a major eruption of the Tvashtar volcano.

    Science.gov (United States)

    Spencer, J R; Stern, S A; Cheng, A F; Weaver, H A; Reuter, D C; Retherford, K; Lunsford, A; Moore, J M; Abramov, O; Lopes, R M C; Perry, J E; Kamp, L; Showalter, M; Jessup, K L; Marchis, F; Schenk, P M; Dumas, C

    2007-10-12

    Jupiter's moon Io is known to host active volcanoes. In February and March 2007, the New Horizons spacecraft obtained a global snapshot of Io's volcanism. A 350-kilometer-high volcanic plume was seen to emanate from the Tvashtar volcano (62 degrees N, 122 degrees W), and its motion was observed. The plume's morphology and dynamics support nonballistic models of large Io plumes and also suggest that most visible plume particles condensed within the plume rather than being ejected from the source. In images taken in Jupiter eclipse, nonthermal visible-wavelength emission was seen from individual volcanoes near Io's sub-Jupiter and anti-Jupiter points. Near-infrared emission from the brightest volcanoes indicates minimum magma temperatures in the 1150- to 1335-kelvin range, consistent with basaltic composition.

  12. ATLAS I/O Performance Optimization in As-Deployed Environments

    CERN Document Server

    Maier, Thomas; The ATLAS collaboration; Bhimji, Wahid; Elmsheuser, Johannes; van Gemmeren, Peter; Malon, David; Krumnack, Nils

    2015-01-01

    I/O is a fundamental determinant in the overall performance of physics analysis and other data-intensive scientific computing. It is, further, crucial to effective resource delivery by the facilities and infrastructure that support data-intensive science. To understand I/O performance, clean measurements in controlled environments are essential, but effective optimization requires as well an understanding of the complicated realities of as-deployed environments. These include a spectrum of local and wide-area data delivery and resilience models, heterogeneous storage systems, matches and mismatches between data organization and access patterns, multi-user considerations that may help or hinder individual job performance, and more. The ATLAS experiment has organized an interdisciplinary working group of I/O, persistence, analysis framework, distributed infrastructure, site deployment, and external experts to understand and improve I/O performance in preparation for Run 2 of the Large Hadron Collider. The adopt...

  13. Distributed service-based approach for sensor data fusion in IoT environments.

    Science.gov (United States)

    Rodríguez-Valenzuela, Sandra; Holgado-Terriza, Juan A; Gutiérrez-Guerrero, José M; Muros-Cobos, Jesús L

    2014-10-15

    The Internet of Things (IoT) enables the communication among smart objects promoting the pervasive presence around us of a variety of things or objects that are able to interact and cooperate jointly to reach common goals. IoT objects can obtain data from their context, such as the home, office, industry or body. These data can be combined to obtain new and more complex information applying data fusion processes. However, to apply data fusion algorithms in IoT environments, the full system must deal with distributed nodes, decentralized communication and support scalability and nodes dynamicity, among others restrictions. In this paper, a novel method to manage data acquisition and fusion based on a distributed service composition model is presented, improving the data treatment in IoT pervasive environments.

  14. Mathematical models in marketing a collection of abstracts

    CERN Document Server

    Funke, Ursula H

    1976-01-01

    Mathematical models can be classified in a number of ways, e.g., static and dynamic; deterministic and stochastic; linear and nonlinear; individual and aggregate; descriptive, predictive, and normative; according to the mathematical technique applied or according to the problem area in which they are used. In marketing, the level of sophistication of the mathe­ matical models varies considerably, so that a nurnber of models will be meaningful to a marketing specialist without an extensive mathematical background. To make it easier for the nontechnical user we have chosen to classify the models included in this collection according to the major marketing problem areas in which they are applied. Since the emphasis lies on mathematical models, we shall not as a rule present statistical models, flow chart models, computer models, or the empirical testing aspects of these theories. We have also excluded competitive bidding, inventory and transportation models since these areas do not form the core of ·the market...

  15. AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation

    Directory of Open Access Journals (Sweden)

    Ren Xiaoguang

    2014-01-01

    Full Text Available Computational fluid dynamics (CFD simulation often needs to periodically output intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. In this paper, we present asynchronous pipeline I/O (AP-IO optimization scheme for the periodically snapshot output on the basis of asynchronous I/O and CFD application characteristics. In AP-IO, dedicated background I/O processes or threads are in charge of handling the file write in pipeline mode, therefore the write overhead can be hidden with more calculation than classic asynchronous I/O. We design the framework of AP-IO and implement it in OpenFOAM, providing CFD users with a user-friendly interface. Experimental results on the Tianhe-2 supercomputer demonstrate that AP-IO can achieve a good optimization effect for the periodical snapshot output in CFD application, and the effect is especially better for massively parallel CFD simulations, which can reduce the total execution time up to about 40%.

  16. U(6)-Phonon model of nuclear collective motion

    Science.gov (United States)

    Ganev, H. G.

    2015-05-01

    The U(6)-phonon model of nuclear collective motion with the semi-direct product structure [HW(21)]U(6) is obtained as a hydrodynamic (macroscopic) limit of the fully microscopic proton-neutron symplectic model (PNSM) with Sp(12, R) dynamical group. The phonon structure of the [HW(21)]U(6) model enables it to simultaneously include the giant monopole and quadrupole, as well as dipole resonances and their coupling to the low-lying collective states. The U(6) intrinsic structure of the [HW(21)]U(6) model, from the other side, gives a framework for the simultaneous shell-model interpretation of the ground state band and the other excited low-lying collective bands. It follows then that the states of the whole nuclear Hilbert space which can be put into one-to-one correspondence with those of a 21-dimensional oscillator with an intrinsic (base) U(6) structure. The latter can be determined in such a way that it is compatible with the proton-neutron structure of the nucleus. The macroscopic limit of the Sp(12, R) algebra, therefore, provides a rigorous mechanism for implementing the unified model ideas of coupling the valence particles to the core collective degrees of freedom within a fully microscopic framework without introducing redundant variables or violating the Pauli principle.

  17. IoT Service Clustering for Dynamic Service Matchmaking.

    Science.gov (United States)

    Zhao, Shuai; Yu, Le; Cheng, Bo; Chen, Junliang

    2017-07-27

    As the adoption of service-oriented paradigms in the IoT (Internet of Things) environment, real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact with them. In an IoT application, it is indispensable to find suitable services for satisfying users' requirements or replacing the unavailable services. However, from the perspective of performance, it is inappropriate to find desired services from the service repository online directly. Instead, clustering services offline according to their similarity and matchmaking or discovering service online in limited clusters is necessary. This paper proposes a multidimensional model-based approach to measure the similarity between IoT services. Then, density-peaks-based clustering is employed to gather similar services together according to the result of similarity measurement. Based on the service clustering, the algorithms of dynamic service matchmaking, discovery, and replacement will be performed efficiently. Evaluating experiments are conducted to validate the performance of proposed approaches, and the results are promising.

  18. A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications

    Science.gov (United States)

    Castedo, Luis

    2017-01-01

    Fog computing extends cloud computing to the edge of a network enabling new Internet of Things (IoT) applications and services, which may involve critical data that require privacy and security. In an IoT fog computing system, three elements can be distinguished: IoT nodes that collect data, the cloud, and interconnected IoT gateways that exchange messages with the IoT nodes and with the cloud. This article focuses on securing IoT gateways, which are assumed to be constrained in terms of computational resources, but that are able to offload some processing from the cloud and to reduce the latency in the responses to the IoT nodes. However, it is usually taken for granted that IoT gateways have direct access to the electrical grid, which is not always the case: in mission-critical applications like natural disaster relief or environmental monitoring, it is common to deploy IoT nodes and gateways in large areas where electricity comes from solar or wind energy that charge the batteries that power every device. In this article, how to secure IoT gateway communications while minimizing power consumption is analyzed. The throughput and power consumption of Rivest–Shamir–Adleman (RSA) and Elliptic Curve Cryptography (ECC) are considered, since they are really popular, but have not been thoroughly analyzed when applied to IoT scenarios. Moreover, the most widespread Transport Layer Security (TLS) cipher suites use RSA as the main public key-exchange algorithm, but the key sizes needed are not practical for most IoT devices and cannot be scaled to high security levels. In contrast, ECC represents a much lighter and scalable alternative. Thus, RSA and ECC are compared for equivalent security levels, and power consumption and data throughput are measured using a testbed of IoT gateways. The measurements obtained indicate that, in the specific fog computing scenario proposed, ECC is clearly a much better alternative than RSA, obtaining energy consumption reductions of up

  19. A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications.

    Science.gov (United States)

    Suárez-Albela, Manuel; Fernández-Caramés, Tiago M; Fraga-Lamas, Paula; Castedo, Luis

    2017-08-29

    Fog computing extends cloud computing to the edge of a network enabling new Internet of Things (IoT) applications and services, which may involve critical data that require privacy and security. In an IoT fog computing system, three elements can be distinguished: IoT nodes that collect data, the cloud, and interconnected IoT gateways that exchange messages with the IoT nodes and with the cloud. This article focuses on securing IoT gateways, which are assumed to be constrained in terms of computational resources, but that are able to offload some processing from the cloud and to reduce the latency in the responses to the IoT nodes. However, it is usually taken for granted that IoT gateways have direct access to the electrical grid, which is not always the case: in mission-critical applications like natural disaster relief or environmental monitoring, it is common to deploy IoT nodes and gateways in large areas where electricity comes from solar or wind energy that charge the batteries that power every device. In this article, how to secure IoT gateway communications while minimizing power consumption is analyzed. The throughput and power consumption of Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) are considered, since they are really popular, but have not been thoroughly analyzed when applied to IoT scenarios. Moreover, the most widespread Transport Layer Security (TLS) cipher suites use RSA as the main public key-exchange algorithm, but the key sizes needed are not practical for most IoT devices and cannot be scaled to high security levels. In contrast, ECC represents a much lighter and scalable alternative. Thus, RSA and ECC are compared for equivalent security levels, and power consumption and data throughput are measured using a testbed of IoT gateways. The measurements obtained indicate that, in the specific fog computing scenario proposed, ECC is clearly a much better alternative than RSA, obtaining energy consumption reductions of up to

  20. Collection, speciation and aerosol modelling for volatile organic compounds

    Science.gov (United States)

    Goodman-Rendall, Kevin Alan Scott

    Volatile organic compounds (VOCs) are collected on the integrated organic gas and particle sampler (IOGAPS) to measure particle loss and collection efficiency. Particle loss increases with increasing flow rate while collection efficiency is a function of alkane volatility. Unresolved complex mixtures (UCMs) are then analyzed and quantified using the novel technique supersonic molecular beam gas chromatography/mass spectrometry (SMB-GC/MS), to develop accurate inputs in modelling the formation of secondary organic aerosol (SOA). Alkanes were segregated by carbon number (NC), number of double bond equivalents (NDBE), and chemical structure. With the most explicit compositional knowledge to date, these mixtures were modelled for their affinity towards formation of SOA. Unsaturated alkanes formed the most and relatively equal amounts of aerosol based on their degree of unsaturation while branched species formed the least. Increasing specificity in chemical structure led to increased computational demands while only general structural motifs were needed to form an accurate picture of aerosol formation.

  1. A Clustering K-Anonymity Privacy-Preserving Method for Wearable IoT Devices

    Directory of Open Access Journals (Sweden)

    Fang Liu

    2018-01-01

    Full Text Available Wearable technology is one of the greatest applications of the Internet of Things. The popularity of wearable devices has led to a massive scale of personal (user-specific data. Generally, data holders (manufacturers of wearable devices are willing to share these data with others to get benefits. However, significant privacy concerns would arise when sharing the data with the third party in an improper manner. In this paper, we first propose a specific threat model about the data sharing process of wearable devices’ data. Then we propose a K-anonymity method based on clustering to preserve privacy of wearable IoT devices’ data and guarantee the usability of the collected data. Experiment results demonstrate the effectiveness of the proposed method.

  2. Emergent collective decision-making: Control, model and behavior

    Science.gov (United States)

    Shen, Tian

    In this dissertation we study emergent collective decision-making in social groups with time-varying interactions and heterogeneously informed individuals. First we analyze a nonlinear dynamical systems model motivated by animal collective motion with heterogeneously informed subpopulations, to examine the role of uninformed individuals. We find through formal analysis that adding uninformed individuals in a group increases the likelihood of a collective decision. Secondly, we propose a model for human shared decision-making with continuous-time feedback and where individuals have little information about the true preferences of other group members. We study model equilibria using bifurcation analysis to understand how the model predicts decisions based on the critical threshold parameters that represent an individual's tradeoff between social and environmental influences. Thirdly, we analyze continuous-time data of pairs of human subjects performing an experimental shared tracking task using our second proposed model in order to understand transient behavior and the decision-making process. We fit the model to data and show that it reproduces a wide range of human behaviors surprisingly well, suggesting that the model may have captured the mechanisms of observed behaviors. Finally, we study human behavior from a game-theoretic perspective by modeling the aforementioned tracking task as a repeated game with incomplete information. We show that the majority of the players are able to converge to playing Nash equilibrium strategies. We then suggest with simulations that the mean field evolution of strategies in the population resemble replicator dynamics, indicating that the individual strategies may be myopic. Decisions form the basis of control and problems involving deciding collectively between alternatives are ubiquitous in nature and in engineering. Understanding how multi-agent systems make decisions among alternatives also provides insight for designing

  3. Decoupling Analysis of China’s Product Sector Output and Its Embodied Carbon Emissions—An Empirical Study Based on Non-Competitive I-O and Tapio Decoupling Model

    Directory of Open Access Journals (Sweden)

    Jianbo Hu

    2017-05-01

    Full Text Available This paper uses the non-competitive I-O model and the Tapio decoupling model to comprehensively analyze the decoupling relationship between the output of the product sector in China and its embodied carbon emissions under trade openness. For this purpose, the Chinese input and output data in 2002, 2005, 2007, 2010, and 2012 are used. This approach is beneficial to identify the direct mechanism for the increased carbon emission in China from a micro perspective and provides a new perspective for the subsequent study about low-carbon economy. The obtained empirical results are as follows: (1 From overall perspective, the decoupling elasticity between the output of the product sector and its embodied carbon emissions decreased. Output and embodied carbon emissions showed a growth link from 2002 to 2005 and a weak decoupling relationship for the rest of the study period. (2 Among the 28 industries in the product sector, the increased growth rate of output in more and more product sectors was no longer accompanied by large CO2 emissions. The number of industries with strong decoupling relationships between output and embodied carbon emissions increased. (3 From the perspective of three industries, the output and embodied carbon emissions in the second and third industries exhibited a growth link only from 2002 to 2005; the three industries presented weak or strong decoupling for the rest of the study period. Through empirical analysis, this paper mainly through the construction of ecological and environmental protection of low carbon agriculture, low carbon cycle industrial system, as well as intensive and efficient service industry to reduce the carbon emissions of China’s product sector.

  4. iOS app development portable genius

    CERN Document Server

    Wentk, Richard

    2012-01-01

    The essential skills and technologies needed for iOS development in one handy guide! The unprecedented popularity of iOS devices, such as the iPhone, iPad, and iPod touch, has led to a development boom. If you’re eager to become part of the action, then this is the book for you! Packed with must-have information on iOS development, this handy guide covers Objective-C, Xcode, Frameworks, and sound design principles and explains how to upload an app to the app store and integrate apps with the latest advances that Apple offers developers. The featured tips and tricks will get you up and ru

  5. Human‐Centric IoT Networks

    DEFF Research Database (Denmark)

    Mihovska, Albena Dimitrova; Prasad, Ramjee; Pejanovic, Milica

    2017-01-01

    The current Internet of things (IoT) concept is characterized with billions and billions of devices interworking through a myriad of technologies for the delivery of smart personalized services and applications. At the center of these is the human user who drives his/her own interconnected cluster....... It can be expected in the future that the number of such clusters will grow exponentially, leading to an ultradense environment of interconnected devices belonging to the same or different clusters with the human user as the center point for the information being sensed, gathered, and processed....... This concept has also been introduced elsewhere as “human center sensing (HCS).” The vision pushed by the authors of this chapter for the IoT beyond 2050 is one of the large‐scale and dense HCS connectivities, the complexity of which can be used to extract new IoT value proposition....

  6. Forecasting rain events - Meteorological models or collective intelligence?

    Science.gov (United States)

    Arazy, Ofer; Halfon, Noam; Malkinson, Dan

    2015-04-01

    Collective intelligence is shared (or group) intelligence that emerges from the collective efforts of many individuals. Collective intelligence is the aggregate of individual contributions: from simple collective decision making to more sophisticated aggregations such as in crowdsourcing and peer-production systems. In particular, collective intelligence could be used in making predictions about future events, for example by using prediction markets to forecast election results, stock prices, or the outcomes of sport events. To date, there is little research regarding the use of collective intelligence for prediction of weather forecasting. The objective of this study is to investigate the extent to which collective intelligence could be utilized to accurately predict weather events, and in particular rainfall. Our analyses employ metrics of group intelligence, as well as compare the accuracy of groups' predictions against the predictions of the standard model used by the National Meteorological Services. We report on preliminary results from a study conducted over the 2013-2014 and 2014-2015 winters. We have built a web site that allows people to make predictions on precipitation levels on certain locations. During each competition participants were allowed to enter their precipitation forecasts (i.e. 'bets') at three locations and these locations changed between competitions. A precipitation competition was defined as a 48-96 hour period (depending on the expected weather conditions), bets were open 24-48 hours prior to the competition, and during betting period participants were allowed to change their bets with no limitation. In order to explore the effect of transparency, betting mechanisms varied across study's sites: full transparency (participants able to see each other's bets); partial transparency (participants see the group's average bet); and no transparency (no information of others' bets is made available). Several interesting findings emerged from

  7. CCN Traffic Optimization for IoT

    OpenAIRE

    Francois J; Cholez T.; Engel T

    2013-01-01

    International audience; Content-Centric Networking (CCN) recently received a lot of attention thanks to its elegant way to optimize content diffusion at the scale of Internet. However, communications occurring at the edge of Internet, in particular the Internet of Things (IoT), are also a vivid research topic. Even if CCN was not initially designed to optimize the specific traffic pattern of the IoT, it can be improved to better support these new applications. In this paper, we propose to opt...

  8. Kotiverkon IoT-laitteiden tietoturva

    OpenAIRE

    Kyyhkynen, Rasmus

    2017-01-01

    Tämä opinnäytetyö käsittelee esineiden internetin (IoT) tietoturvaa kotiverkossa. Työssä on kartoitettu eri tapoja IoT-järjestelmän turvaamiseksi. Työssä tarkasteltiin sovelluksien ja laitteiden tietoturvamenetelmiä, jotka estävät laitteiden luvattoman käytön tai datan varastamisen. Opinnäytetyön teoriaosuus muodostuu esineiden internet -käsitteiden avaamisesta ja kuinka esineiden internet -järjestelmistä saadaan tietoturvallinen. Esineiden internet -laitteet ovat tavallisia laitteita tai...

  9. Professional iOS database application programming

    CERN Document Server

    Alessi, Patrick

    2013-01-01

    Updated and revised coverage that includes the latest versions of iOS and Xcode Whether you're a novice or experienced developer, you will want to dive into this updated resource on database application programming for the iPhone and iPad. Packed with more than 50 percent new and revised material - including completely rebuilt code, screenshots, and full coverage of new features pertaining to database programming and enterprise integration in iOS 6 - this must-have book intends to continue the precedent set by the previous edition by helping thousands of developers master database

  10. Grabens on Io: Evidence for Extensional Tectonics

    Science.gov (United States)

    Hoogenboom, T.; Schenk, P.

    2012-12-01

    Io may well be the most geologically active body in the solar system. A variety of volcanic features have been identified, including a few fissure eruptions, but tectonism is generally assumed to be limited to compression driven mountain formation (Schenk et al., 2001). A wide range of structural features can also be identified including scarps, lineaments, faults, and circular depressions (pits and patera rims). Narrow curvilinear graben (elongated, relatively depressed crustal unit or block that is bounded by faults on its sides) are also scattered across Io's volcanic plains. These features are dwarfed by the more prominent neighboring volcanoes and mountains, and have been largely ignored in the literature. Although they are likely to be extensional in origin, their relationship to local or global stress fields is unknown. We have mapped the locations, length and width of graben on Io using all available Voyager and Galileo images with a resolution better than 5 km. We compare the locations of graben with existing volcanic centers, paterae and mountain data to determine the degree of correlation between these geologic features and major topographic variations (basins/swells) in our global topographic map of Io (White et al., 2011). Graben are best observed in > 1-2 km low-sun angle images. Approximately 300 images were converted from ISIS to ArcMap format to allow easy comparison with the geological map of Io (Williams et al., 2012) along with previous higher resolution structural mapping of local areas (e.g. Crown et al., 1992). We have located >45 graben to date. Typically 1-3 kilometers across, some of these features can stretch for over 500 kilometers in length. Their formation may be related to global tidal stresses or local deformation. Io's orbit is eccentric and its solid surface experiences daily tides of up to ˜0.1 km, leading to repetitive surface strains of 10-4 or greater. These tides flex and stress the lithosphere and can cause it to fracture

  11. Layout-Aware I/O Scheduling for Terabits Data Movement

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Youngjae [ORNL; Atchley, Scott [ORNL; Vallee, Geoffroy R [ORNL; Shipman, Galen M [ORNL

    2013-01-01

    Many science facilities, such as the Department of Energy s Leadership Computing Facilities and experimental facilities including the Spallation Neutron Source, Stanford Linear Accelerator Center, and Advanced Photon Source, produce massive amounts of experimental and simulation data. These data are often shared among the facilities and with collaborating institutions. Moving large datasets over the wide- area network (WAN) is a major problem inhibiting collaboration. Next- generation, terabit-networks will help alleviate the problem, however, the parallel storage systems on the end-system hosts at these institutions can become a bottleneck for terabit data movement. The parallel storage system (PFS) is shared by simulation systems, experimental systems, analysis and visualization clusters, in addition to wide-area data movers. These competing uses often induce temporary, but significant, I/O load imbalances on the storage system, which impact the performance of all the users. The problem is a serious concern because some resources are more expensive (e.g. super computers) or have time-critical deadlines (e.g. experimental data from a light source), but parallel file systems handle all requests fairly even if some storage servers are under heavy load. This paper investigates the problem of competing workloads accessing the parallel file system and how the performance of wide-area data movement can be improved in these environments. First, we study the I/O load imbalance problems using actual I/O performance data collected from the Spider storage system at the Oak Ridge Leadership Computing Facility. Second, we present I/O optimization solutions with layout-awareness on end-system hosts for bulk data movement. With our evaluation, we show that our I/O optimization techniques can avoid the I/O congested disk groups, improving storage I/O times on parallel storage systems for terabit data movement.

  12. Nonlinear model predictive control based on collective neurodynamic optimization.

    Science.gov (United States)

    Yan, Zheng; Wang, Jun

    2015-04-01

    In general, nonlinear model predictive control (NMPC) entails solving a sequential global optimization problem with a nonconvex cost function or constraints. This paper presents a novel collective neurodynamic optimization approach to NMPC without linearization. Utilizing a group of recurrent neural networks (RNNs), the proposed collective neurodynamic optimization approach searches for optimal solutions to global optimization problems by emulating brainstorming. Each RNN is guaranteed to converge to a candidate solution by performing constrained local search. By exchanging information and iteratively improving the starting and restarting points of each RNN using the information of local and global best known solutions in a framework of particle swarm optimization, the group of RNNs is able to reach global optimal solutions to global optimization problems. The essence of the proposed collective neurodynamic optimization approach lies in the integration of capabilities of global search and precise local search. The simulation results of many cases are discussed to substantiate the effectiveness and the characteristics of the proposed approach.

  13. Modular HPC I/O characterization with Darshan

    Energy Technology Data Exchange (ETDEWEB)

    Snyder, Shane; Carns, Philip; Harms, Kevin; Ross, Robert; Lockwood, Glenn K.; Wright, Nicholas J.

    2016-11-13

    Contemporary high-performance computing (HPC) applications encompass a broad range of distinct I/O strategies and are often executed on a number of different compute platforms in their lifetime. These large-scale HPC platforms employ increasingly complex I/O subsystems to provide a suitable level of I/O performance to applications. Tuning I/O workloads for such a system is nontrivial, and the results generally are not portable to other HPC systems. I/O profiling tools can help to address this challenge, but most existing tools only instrument specific components within the I/O subsystem that provide a limited perspective on I/O performance. The increasing diversity of scientific applications and computing platforms calls for greater flexibililty and scope in I/O characterization.

  14. Reproducibility and Variability of I/O Performance on BG/Q: Lessons Learned from a Data Aggregation Algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Tessier, Francois [Argonne National Lab. (ANL), Argonne, IL (United States); Vishwanath, Venkatram [Argonne National Lab. (ANL), Argonne, IL (United States)

    2017-11-28

    Reading and writing data efficiently from different tiers of storage is necessary for most scientific simulations to achieve good performance at scale. Many software solutions have been developed to decrease the I/O bottleneck. One wellknown strategy, in the context of collective I/O operations, is the two-phase I/O scheme. This strategy consists of selecting a subset of processes to aggregate contiguous pieces of data before performing reads/writes. In our previous work, we implemented the two-phase I/O scheme with a MPI-based topology-aware algorithm. Our algorithm showed very good performance at scale compared to the standard I/O libraries such as POSIX I/O and MPI I/O. However, the algorithm had several limitations hindering a satisfying reproducibility of our experiments. In this paper, we extend our work by 1) identifying the obstacles we face to reproduce our experiments and 2) discovering solutions that reduce the unpredictability of our results.

  15. FY06 I/O Integration Blueprint

    Energy Technology Data Exchange (ETDEWEB)

    Cupps, K; Fitzgerald, K; Gary, M; Shoopman, J; Hamilton, P; Loewe, B; Slavec, J; Smith, D; Fox, D; Southard, D; Wiltzuis, D; Allen, J; Bass, N; Boas, B; Connell, T; East, D; Gorda, B; Lawver, B; Louis, S; Quinn, T; Seager, M

    2006-04-06

    This document provides an understanding of the near and long term computing and I/O resources in the Secure Computing Facility (SCF) and Open Computing Facility (OCF). Requirements for data flows, storage capacities and transfer rates are determined. Recommendations are made for architectures, timeframes for major deliverables, and procurements for the next fiscal year.

  16. Volcanic activity at Tvashtar Catena, Io

    Science.gov (United States)

    Milazzo, M.P.; Keszthelyi, L.P.; Radebaugh, J.; Davies, A.G.; Turtle, E.P.; Geissler, P.; Klaasen, K.P.; Rathbun, J.A.; McEwen, A.S.

    2005-01-01

    Galileo's Solid State Imager (SSI) observed Tvashtar Catena four times between November 1999 and October 2001, providing a unique look at a distinctive high latitude volcanic complex on Io. The first observation (orbit I25, November 1999) resolved, for the first time, an active extraterrestrial fissure eruption; the brightness temperature was at least 1300 K. The second observation (orbit I27, February 2000) showed a large (??? 500 km 2) region with many, small, hot, regions of active lava. The third observation was taken in conjunction with Cassini imaging in December 2000 and showed a Pele-like, annular plume deposit. The Cassini images revealed an ???400 km high Pele-type plume above Tvashtar Catena. The final Galileo SSI observation of Tvashtar (orbit I32, October 2001), revealed that obvious (to SSI) activity had ceased, although data from Galileo's Near Infrared Mapping Spectrometer (NIMS) indicated that there was still significant thermal emission from the Tvashtar region. In this paper, we primarily analyze the style of eruption during orbit I27 (February 2000). Comparison with a lava flow cooling model indicates that the behavior of the Tvashtar eruption during I27 does not match that of simple advancing lava flows. Instead, it may be an active lava lake or a complex set of lava flows with episodic, overlapping eruptions. The highest reliable color temperature is ???1300 K. Although higher temperatures cannot be ruled out, they do not need to be invoked to fit the observed data. The total power output from the active lavas in February 2000 was at least 1011 W. ?? 2005 Elsevier Inc. All rights reserved.

  17. Modeling human-flood interactions: Collective action and community resilience.

    Science.gov (United States)

    Yu, D. J.; Sangwan, N.; Sung, K.

    2016-12-01

    Stylized models of socio-hydrology have mainly used social memory aspects such as community awareness or sensitivity to connect hydrologic change and social response. However, social memory alone does not satisfactorily capture the details of how human behavior is translated into collective action for water resources governance. Nor is it the only mechanism by which the two-way feedbacks of socio-hydrology can be operationalized. This study contributes towards bridging of this gap by developing a stylized model of a human-flood system that includes two additional drivers of change: (1) institutions for collective action, and (2) connections to an external economic system. Motivated by the case of community-managed flood protection systems (polders) in coastal Bangladesh, we use the model to understand critical general features that affect long-term resilience of human-flood systems. Our findings suggest that occasional adversity can enhance long-term resilience. Allowing some hydrological variability to enter into the polder can increase its adaptive capacity and resilience through the preservation of social memory and institutions for collective action. Further, there are potential tradeoffs associated with optimization of flood resilience through structural measures. By reducing sensitivity to flooding, the system may become more fragile under the double impact of flooding and economic change

  18. Modeling closure of circular wounds through coordinated collective motion.

    Science.gov (United States)

    Li, David S; Zimmermann, Juliane; Levine, Herbert

    2016-02-12

    Wound healing enables tissues to restore their original states, and is achieved through collective cell migration into the wound space, contraction of the wound edge via an actomyosin filament 'purse-string,' as well as cell division. Recently, experimental techniques have been developed to create wounds with various regular morphologies in epithelial monolayers, and these experiments of circular closed-contour wounds support coordinated lamellipodial cell crawling as the predominant driver of gap closure. Through utilizing a particle-based mechanical tissue simulation, exhibiting long-range coordination of cell motility, we computationally model these closed-contour experiments with a high level of agreement between experimentally observed and simulated wound closure dynamics and tissue velocity profiles. We also determine the sensitivity of wound closure time in the model to changes in cell motility force and division rate. Our simulation results confirm that circular wounds can close due to collective cell migration without the necessity for a purse-string mechanism or for cell division, and show that the alignment mechanism of cellular motility force with velocity, leading to collective motion in the model, may speed up wound closure.

  19. Hubble Captures Volcanic Eruption Plume From Io

    Science.gov (United States)

    1997-01-01

    The Hubble Space Telescope has snapped a picture of a 400-km-high (250-mile-high) plume of gas and dust from a volcanic eruption on Io, Jupiter's large innermost moon.Io was passing in front of Jupiter when this image was taken by the Wide Field and Planetary Camera 2 in July 1996. The plume appears as an orange patch just off the edge of Io in the eight o'clock position, against the blue background of Jupiter's clouds. Io's volcanic eruptions blasts material hundreds of kilometers into space in giant plumes of gas and dust. In this image, material must have been blown out of the volcano at more than 2,000 mph to form a plume of this size, which is the largest yet seen on Io.Until now, these plumes have only been seen by spacecraft near Jupiter, and their detection from the Earth-orbiting Hubble Space Telescope opens up new opportunities for long-term studies of these remarkable phenomena.The plume seen here is from Pele, one of Io's most powerful volcanos. Pele's eruptions have been seen before. In March 1979, the Voyager 1 spacecraft recorded a 300-km-high eruption cloud from Pele. But the volcano was inactive when the Voyager 2 spacecraft flew by Jupiter in July 1979. This Hubble observation is the first glimpse of a Pele eruption plume since the Voyager expeditions.Io's volcanic plumes are much taller than those produced by terrestrial volcanos because of a combination of factors. The moon's thin atmosphere offers no resistance to the expanding volcanic gases; its weak gravity (one-sixth that of Earth) allows material to climb higher before falling; and its biggest volcanos are more powerful than most of Earth's volcanos.This image is a contrast-enhanced composite of an ultraviolet image (2600 Angstrom wavelength), shown in blue, and a violet image (4100 Angstrom wavelength), shown in orange. The orange color probably occurs because of the absorption and/or scattering of ultraviolet light in the plume. This light from Jupiter passes through the plume and is

  20. IoT platform for Smart Cities: requirements and implementation case studies

    OpenAIRE

    Patti, Edoardo; Acquaviva, Andrea

    2016-01-01

    Internet-of-Things (IoT) is considered as the key player to move forward the Smart City vision. Indeed, pervasive devices can enable a fain-grained monitoring of buildings and energy distribution networks. Thus, such information can be used to enhance energy optimization in our cities. However, interoperability among heterogeneous devices is a challenging task. Furthermore, all these IoT devices produce a huge amount of data that must be collected and post-processed, thus entering into the Bi...

  1. Remote Agriculture Automation using Wireless Link and IoT Gateway Infrastructure

    DEFF Research Database (Denmark)

    Nakutis, Z.; Deksnys, V.; Jaurusevicius, I.

    2015-01-01

    The publication presents a system architecture for remote agriculture process automation, involving sensors and actuators connected to IoT gateway running OPC UA server. Sensors and actuators are very general and do not need any intelligence related to the process under control. Acquired data....../actuators. Throughput of data collection channel (long range radio) and IoT gateway performance are limiting factors for real time control or observation of agriculture processes. Therefore, achievable channel "sensors-OPC UA server" throughput is investigated experimentally. Potential agriculture applications that may...

  2. Hearables in hearing care: discovering usage patterns through IoT devices

    DEFF Research Database (Denmark)

    Johansen, Benjamin; Flet-Berliac, Yannis Paul Raymond; Korzepa, Maciej Jan

    2017-01-01

    Hearables are on the rise as next generation wearables, capable of streaming audio, modifying soundscapes or functioning as biometric sensors. The recent introduction of IoT (Internet of things) connected hearing aids o er new opportunities for hearables to collect QS quantified self data...

  3. Synthesizing Knowledge on Internet of Things (IoT)

    DEFF Research Database (Denmark)

    Liu, Fei; Tan, Chee-Wee; Lim, Eric T. K.

    2016-01-01

    Research on Internet of Things (IoT) has been booming for past couple of years due to technological advances and its potential for application. Nonetheless, the rapid growth of IoT articles as well as the heterogeneous nature of IoT pose challenges in synthesizing prior research on the phenomenon...

  4. Future of IoT Networks: A Survey

    National Research Council Canada - National Science Library

    Suk Kyu Lee; Mungyu Bae; Hwangnam Kim

    2017-01-01

    .... However, there are only limited discussions about the IoT network. In this paper, we will thoroughly analyze the technical details about the IoT network. Based on our survey of papers, we will provide insight about the future IoT network and the crucial components that will enable it.

  5. Nanosatellites constellation as an IoT communication platform for near equatorial countries

    Science.gov (United States)

    Narayanasamy, A.; Ahmad, Y. A.; Othman, M.

    2017-11-01

    Anytime, anywhere access for real-time intelligence by Internet of Things (IoT) is changing the way that the whole world will operate as it moves toward data driven technologies. Over the next five years, IoT related devices going to have a dramatic breakthrough in current and new applications, not just on increased efficiency and cost reduction on current system, but it also will make trillion-dollar revenue generation and improve customer satisfaction. IoT communications is the networking of intelligent devices which enables data collection from remote assets. It covers a broad range of technologies and applications which connect to the physical world while allowing key information to be transferred automatically. The current terrestrial wireless communications technologies used to enable this connectivity include GSM, GPRS, 3G, LTE, WIFI, WiMAX and LoRa. These connections occur short to medium range distance however, none of them can cover a whole country or continent and the networks are getting congested with the multiplication of IoT devices. In this study, we discuss a conceptual design of a nanosatellite constellation those can provide a space-based communication platform for IoT devices for near Equatorial countries. The constellation design i.e. the orbital plane and number of satellites and launch deployment concepts are presented.

  6. IoT-Based Smart Garbage System for Efficient Food Waste Management

    Science.gov (United States)

    Lee, Jaekeun

    2014-01-01

    Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%. PMID:25258730

  7. IoT-Based Smart Garbage System for Efficient Food Waste Management

    Directory of Open Access Journals (Sweden)

    Insung Hong

    2014-01-01

    Full Text Available Owing to a paradigm shift toward Internet of Things (IoT, researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%.

  8. IoT-based smart garbage system for efficient food waste management.

    Science.gov (United States)

    Hong, Insung; Park, Sunghoi; Lee, Beomseok; Lee, Jaekeun; Jeong, Daebeom; Park, Sehyun

    2014-01-01

    Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%.

  9. Modeling and Simulation of Synchronous Threshold in Vent Collective Behavior

    Directory of Open Access Journals (Sweden)

    Yaofeng Zhang

    2014-01-01

    Full Text Available With the strengthening of the social contradiction, the outbreak of vent collective behavior tends to be frequent. The essence of vent collective behavior is emergence of synchronization. In order to explore the threshold of consensus synchronization in vent collective behavior, a mathematic model and a corresponding simulation model based on multi-agent are proposed. The results of analysis by mean field theory and simulation experiments show the following. (1 There is a threshold Kc for consensus synchronization in global-coupling and homogeneous group, and when the system parameter K is greater than Kc, consensus synchronization emerge. Otherwise the system cannot achieve synchronization. The conclusion is verified by further study of multiagent simulation. (2 Compared with the global-coupling situation, the process of synchronization is delayed in local-coupling and homogeneous group. (3 For local-coupling and heterogeneous group, consensus dissemination can achieve synchronization only when the effects of the parameters meet the threshold requirements of consensus synchronization.

  10. The spatial distribution of the reactive iodine species IO from simultaneous active and passive DOAS observations

    Directory of Open Access Journals (Sweden)

    K. Seitz

    2010-03-01

    Full Text Available We present investigations of the reactive iodine species (RIS IO, OIO and I2 in a coastal region from a field campaign simultaneously employing active long path differential optical absorption spectroscopy (LP-DOAS as well as passive multi-axis differential optical absorption spectroscopy (MAX-DOAS. The campaign took place at the Martin Ryan Institute (MRI in Carna, County Galway at the Irish West Coast about 6 km south-east of the atmospheric research station Mace Head in summer 2007. In order to study the horizontal distribution of the trace gases of interest, we established two almost parallel active LP-DOAS light paths, the shorter of 1034 m length just crossing the intertidal area, whereas the longer one of 3946 m length also crossed open water during periods of low tide. In addition we operated two passive Mini-MAX-DOAS instruments with the same viewing direction. While neither OIO nor I2 could be unambiguously identified with any of the instruments, IO could be detected with active as well as passive DOAS. The IO column densities seen at both active LP-DOAS light paths are almost the same. Thus it can be concluded that coastal IO is almost exclusively located in the intertidal area, where we detected mixing ratios of up to 29±8.8 ppt (equivalent to pmol/mol. Nucleation events with particle concentrations of 106 cm−3 particles were observed each day correlating with high IO mixing ratios. Therefore we feel that our detected IO concentrations confirm the results of model studies, which state that in order to explain such particle bursts, IO mixing ratios of 50 to 100 ppt in so called "hot-spots" are required.

  11. IoT Platforms: Analysis for Building Projects

    OpenAIRE

    Rusu Liviu DUMITRU

    2017-01-01

    This paper presents a general survey of IoT platforms in terms of features for IoT project de-velopers. I will briefly summarize the state of knowledge in terms of technology regarding “In-ternet of Things” first steps in developing this technology, history, trends, sensors and micro-controllers used. I have evaluated a number of 5 IoT platforms in terms of the features needed to develop a IoT project. I have listed those components that are most appreciated by IoT pro-ject developers and the...

  12. Ranking System for IoT Industry Platform

    OpenAIRE

    Mukherjee, Somshree

    2016-01-01

    The Internet of Things (IoT) has seen a huge growth spurt in the last few years which has resulted in the need for more standardised IoT technology. Because of this, numerous IoT platforms have sprung up that offer a variety of features and use different technologies which may not necessarily be compliant with each other or with other technologies. Companies that wish to enter theIoT market are in constant need to find the most suitable IoT platform for their business and have a certain set o...

  13. A New Model for Building Digital Science Education Collections

    Science.gov (United States)

    Niepold, F.; McCaffrey, M.; Morrill, C.; Ganse, J.; Weston, T.

    2005-12-01

    The Polar Regions play an integral role in how our Earth system operates. However, the Polar Regions are marginally studied in the K-12 classroom in the United States. The International Polar Year's (IPY) coordinated campaign of polar observations, research, and analysis that will be multidisciplinary in scope and international in participation offers a powerful opportunity for K-12 classroom. The IPY's scientific objective to better understand the key roles of the Polar Regions in global processes will allow students a window into the poles and this unique regions role in the Earth system. IPY will produce careful, useful scientific information that will advance our understanding of the Polar Regions and their connections to the rest of the globe. The IPY is an opportunity to inspire the next generation of very young Earth system scientists. The IPY's draft education & outreach position paper asks a key question that must guide future educational projects; "Why is the polar regions and polar research important to all people on earth?" In efforts to coordinate educational activities and collaborate with international projects, United States national agencies, and other educational initiatives, it is the purpose of this session to explore potential partnerships, while primarily recommending a model for educational product development and review. During such a large international science endeavor, numerous educational activities and opportunities are developed, but these educational programs can suffer from too many unconnected options being available to teachers and students. Additionally, activities often are incompatible with each other making classroom implementation unnecessarily complex and prohibitively time consuming for teachers. A newly develop educational activity collection technique developed for DLESE offers an effective model for IPY product gap analysis and development. The Climate Change Collection developed as a pilot project for the Digital Library

  14. Modelling Influence and Opinion Evolution in Online Collective Behaviour.

    Directory of Open Access Journals (Sweden)

    Corentin Vande Kerckhove

    Full Text Available Opinion evolution and judgment revision are mediated through social influence. Based on a large crowdsourced in vitro experiment (n = 861, it is shown how a consensus model can be used to predict opinion evolution in online collective behaviour. It is the first time the predictive power of a quantitative model of opinion dynamics is tested against a real dataset. Unlike previous research on the topic, the model was validated on data which did not serve to calibrate it. This avoids to favor more complex models over more simple ones and prevents overfitting. The model is parametrized by the influenceability of each individual, a factor representing to what extent individuals incorporate external judgments. The prediction accuracy depends on prior knowledge on the participants' past behaviour. Several situations reflecting data availability are compared. When the data is scarce, the data from previous participants is used to predict how a new participant will behave. Judgment revision includes unpredictable variations which limit the potential for prediction. A first measure of unpredictability is proposed. The measure is based on a specific control experiment. More than two thirds of the prediction errors are found to occur due to unpredictability of the human judgment revision process rather than to model imperfection.

  15. A Bayesian subgroup analysis using collections of ANOVA models.

    Science.gov (United States)

    Liu, Jinzhong; Sivaganesan, Siva; Laud, Purushottam W; Müller, Peter

    2017-07-01

    We develop a Bayesian approach to subgroup analysis using ANOVA models with multiple covariates, extending an earlier work. We assume a two-arm clinical trial with normally distributed response variable. We also assume that the covariates for subgroup finding are categorical and are a priori specified, and parsimonious easy-to-interpret subgroups are preferable. We represent the subgroups of interest by a collection of models and use a model selection approach to finding subgroups with heterogeneous effects. We develop suitable priors for the model space and use an objective Bayesian approach that yields multiplicity adjusted posterior probabilities for the models. We use a structured algorithm based on the posterior probabilities of the models to determine which subgroup effects to report. Frequentist operating characteristics of the approach are evaluated using simulation. While our approach is applicable in more general cases, we mainly focus on the 2 × 2 case of two covariates each at two levels for ease of presentation. The approach is illustrated using a real data example. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. Measuring and modeling behavioral decision dynamics in collective evacuation.

    Directory of Open Access Journals (Sweden)

    Jean M Carlson

    Full Text Available Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In a controlled laboratory setting, our results quantify several key factors influencing individual evacuation decision making in a controlled laboratory setting. The experiment includes tensions between broadcast and peer-to-peer information, and contrasts the effects of temporal urgency associated with the imminence of the disaster and the effects of limited shelter capacity for evacuees. Based on empirical measurements of the cumulative rate of evacuations as a function of the instantaneous disaster likelihood, we develop a quantitative model for decision making that captures remarkably well the main features of observed collective behavior across many different scenarios. Moreover, this model captures the sensitivity of individual- and population-level decision behaviors to external pressures, and systematic deviations from the model provide meaningful estimates of variability in the collective response. Identification of robust methods for quantifying human decisions in the face of risk has implications for policy in disasters and other threat scenarios, specifically the development and testing of robust strategies for training and control of evacuations that account for human behavior and network topologies.

  17. An IoT Project for Vital Signs Monitoring

    Directory of Open Access Journals (Sweden)

    Felician ALECU

    2017-01-01

    Full Text Available Nowadays, the Internet of Things (IoT projects are very popular and they are developed for numerous fields. In order to detect various medical problems on time, it is required to monitor the subjects either human or non-human. This could be used on regular or specific activities, like sport or work. It is necessary to determine the factors that could lead to medical problems. Another important aspect is to quantify the factors, to monitor them, to collect data and to make the proper interpretation. This could be achieved using dedicated sensors, controlled by an application embedded on a development board. When a dangerous value is reached, the system has to inform the subject (if human or someone else (if non-human. This paper presents an Arduino based IoT project used for monitoring the vital signs for human and non-human and the results based on its usage. The paper details the hardware and software components of this project.

  18. Optimization of Wireless Node Discovery in an IoT Network

    DEFF Research Database (Denmark)

    Vasilev, Vladislav; Iliev, Georgi; Poulkov, Vladimir

    2015-01-01

    in the decrease in discovery costs. The proposed model covers well the dynamics of the complex sensor network, such as the one that maybe employed in an Internet of Things (IoT) scenario, where nodes need to act autonomously during the communication process. We apply the Lotka-Voltera model to increase...

  19. Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology

    Directory of Open Access Journals (Sweden)

    K. C. Okafor

    2017-01-01

    Full Text Available With the Internet of Everything (IoE paradigm that gathers almost every object online, huge traffic workload, bandwidth, security, and latency issues remain a concern for IoT users in today’s world. Besides, the scalability requirements found in the current IoT data processing (in the cloud can hardly be used for applications such as assisted living systems, Big Data analytic solutions, and smart embedded applications. This paper proposes an extended cloud IoT model that optimizes bandwidth while allowing edge devices (Internet-connected objects/devices to smartly process data without relying on a cloud network. Its integration with a massively scaled spine-leaf (SL network topology is highlighted. This is contrasted with a legacy multitier layered architecture housing network services and routing policies. The perspective offered in this paper explains how low-latency and bandwidth intensive applications can transfer data to the cloud (and then back to the edge application without impacting QoS performance. Consequently, a spine-leaf Fog computing network (SL-FCN is presented for reducing latency and network congestion issues in a highly distributed and multilayer virtualized IoT datacenter environment. This approach is cost-effective as it maximizes bandwidth while maintaining redundancy and resiliency against failures in mission critical applications.

  20. iOS cloud development dor dummies

    CERN Document Server

    Goldstein, Neal

    2012-01-01

    Want to create robust, data-driven, iOS cloud apps? This book makes it easier! Apple's mobile operating system (iOS) supports iPhones, iPads, iPods and other Apple devices, and while even beginners can now develop apps to run just on these devices themselves, sometimes you want to create an app with more heft. Applications such as live weather reports or multi-player games require a lot of data to be pulled from outside—often from cloud-based Web Services, such as Google or Amazon. This book, written by application development experts Sujee Maniyam and Neal Goldstein, shows you how to we

  1. FY02 I/O Integration Blueprint

    Energy Technology Data Exchange (ETDEWEB)

    Cupps, K; Gary, M; Fitzgerald, K; Quinn, T; Wiltzius, D; Minuzzo, K; Seager, M; McLarty, T

    2001-11-16

    This document describes I/O focused requirements, issues, options, plans, deliverables and budgets for Livermore Computing (LC) in FY02. Areas covered include I/O for archival storage, network, platform, visualization and the I/O Testbed. Implementation Plan (IP) milestones and tasks in each of these areas map to the efforts and plans described in this document. When developing FY02 I/O requirements, a survey of key LC customers was performed (see Appendix A and D) and DisCom2 requirements were gathered. The LC customer provided throughput and capacity estimates were quite conservative when compared to ASCI curve projections and were history-based rather than being based on hardware capabilities. Because substantial differences exist in the ASCI platform in FY02, required I/O throughput rates were raised appropriately (i.e., by over 200% platform-to-archive). Archive capacity requirements remain fairly stable in FY02 as aggressive FY01 plans and purchases will accommodate most of the volume of data received through FY02. 10 Gigabit Ethernet network infrastructure will begin to get deployed in early FY02. When full implementation becomes cost effective it will allow us to greatly increase bandwidth between computer facilities. In addition pre-production OC-48 Ultrafastlane encryptors will be installed in early FY02 at each of the Tri-Labs. Preliminary testing of these encryption units and production unit installation will also take place in FY02. Significant network tuning, routing and protocol efforts will be investigated during FY02. These include channel bonding, gigabit ethernet flow control and HPSS protocol enhancements. Changes to and investigation of archive mover platforms and tape technologies are planned in FY02. 1BM tape robotics and tape devices will be phased out. New Storage Area Network (SAN) and platform-based mover architectures will be prototyped and investigated as approaches capable of significantly reducing archive expenditures in support of

  2. Galileo observations of volcanic plumes on Io

    Science.gov (United States)

    Geissler, P.E.; McMillan, M.T.

    2008-01-01

    Io's volcanic plumes erupt in a dazzling variety of sizes, shapes, colors and opacities. In general, the plumes fall into two classes, representing distinct source gas temperatures. Most of the Galileo imaging observations were of the smaller, more numerous Prometheus-type plumes that are produced when hot flows of silicate lava impinge on volatile surface ices of SO2. Few detections were made of the giant, Pele-type plumes that vent high temperature, sulfur-rich gases from the interior of Io; this was partly because of the insensitivity of Galileo's camera to ultraviolet wavelengths. Both gas and dust spout from plumes of each class. Favorably located gas plumes were detected during eclipse, when Io was in Jupiter's shadow. Dense dust columns were imaged in daylight above several Prometheus-type eruptions, reaching heights typically less than 100 km. Comparisons between eclipse observations, sunlit images, and the record of surface changes show that these optically thick dust columns are much smaller in stature than the corresponding gas plumes but are adequate to produce the observed surface deposits. Mie scattering calculations suggest that these conspicuous dust plumes are made up of coarse grained “ash” particles with radii on the order of 100 nm, and total masses on the order of 106 kg per plume. Long exposure images of Thor in sunlight show a faint outer envelope apparently populated by particles small enough to be carried along with the gas flow, perhaps formed by condensation of sulfurous “snowflakes” as suggested by the plasma instrumentation aboard Galileo as it flew through Thor's plume [Frank, L.A., Paterson, W.R., 2002. J. Geophys. Res. (Space Phys.) 107, doi:10.1029/2002JA009240. 31-1]. If so, the total mass of these fine, nearly invisible particles may be comparable to the mass of the gas, and could account for much of Io's rapid resurfacing.

  3. Source attribution using FLEXPART and carbon monoxide emission inventories: SOFT-IO version 1.0

    Science.gov (United States)

    Sauvage, Bastien; Fontaine, Alain; Eckhardt, Sabine; Auby, Antoine; Boulanger, Damien; Petetin, Hervé; Paugam, Ronan; Athier, Gilles; Cousin, Jean-Marc; Darras, Sabine; Nédélec, Philippe; Stohl, Andreas; Turquety, Solène; Cammas, Jean-Pierre; Thouret, Valérie

    2017-12-01

    Since 1994, the In-service Aircraft for a Global Observing System (IAGOS) program has produced in situ measurements of the atmospheric composition during more than 51 000 commercial flights. In order to help analyze these observations and understand the processes driving the observed concentration distribution and variability, we developed the SOFT-IO tool to quantify source-receptor links for all measured data. Based on the FLEXPART particle dispersion model (Stohl et al., 2005), SOFT-IO simulates the contributions of anthropogenic and biomass burning emissions from the ECCAD emission inventory database for all locations and times corresponding to the measured carbon monoxide mixing ratios along each IAGOS flight. Contributions are simulated from emissions occurring during the last 20 days before an observation, separating individual contributions from the different source regions. The main goal is to supply added-value products to the IAGOS database by evincing the geographical origin and emission sources driving the CO enhancements observed in the troposphere and lower stratosphere. This requires a good match between observed and modeled CO enhancements. Indeed, SOFT-IO detects more than 95 % of the observed CO anomalies over most of the regions sampled by IAGOS in the troposphere. In the majority of cases, SOFT-IO simulates CO pollution plumes with biases lower than 10-15 ppbv. Differences between the model and observations are larger for very low or very high observed CO values. The added-value products will help in the understanding of the trace-gas distribution and seasonal variability. They are available in the IAGOS database via http://www.iagos.org. The SOFT-IO tool could also be applied to similar data sets of CO observations (e.g., ground-based measurements, satellite observations). SOFT-IO could also be used for statistical validation as well as for intercomparisons of emission inventories using large amounts of data.

  4. I/O Performance Characterization of Lustre and NASA Applications on Pleiades

    Science.gov (United States)

    Saini, Subhash; Rappleye, Jason; Chang, Johnny; Barker, David Peter; Biswas, Rupak; Mehrotra, Piyush

    2012-01-01

    In this paper we study the performance of the Lustre file system using five scientific and engineering applications representative of NASA workload on large-scale supercomputing systems such as NASA s Pleiades. In order to facilitate the collection of Lustre performance metrics, we have developed a software tool that exports a wide variety of client and server-side metrics using SGI's Performance Co-Pilot (PCP), and generates a human readable report on key metrics at the end of a batch job. These performance metrics are (a) amount of data read and written, (b) number of files opened and closed, and (c) remote procedure call (RPC) size distribution (4 KB to 1024 KB, in powers of 2) for I/O operations. RPC size distribution measures the efficiency of the Lustre client and can pinpoint problems such as small write sizes, disk fragmentation, etc. These extracted statistics are useful in determining the I/O pattern of the application and can assist in identifying possible improvements for users applications. Information on the number of file operations enables a scientist to optimize the I/O performance of their applications. Amount of I/O data helps users choose the optimal stripe size and stripe count to enhance I/O performance. In this paper, we demonstrate the usefulness of this tool on Pleiades for five production quality NASA scientific and engineering applications. We compare the latency of read and write operations under Lustre to that with NFS by tracing system calls and signals. We also investigate the read and write policies and study the effect of page cache size on I/O operations. We examine the performance impact of Lustre stripe size and stripe count along with performance evaluation of file per process and single shared file accessed by all the processes for NASA workload using parameterized IOR benchmark.

  5. AirPrint Forensics: Recovering the Contents and Metadata of Printed Documents from iOS Devices

    Directory of Open Access Journals (Sweden)

    Luis Gómez-Miralles

    2015-01-01

    data they may store, opens new opportunities in the field of computer forensics. In 2010, version 4 of the iOS operating system introduced AirPrint, a simple and driverless wireless printing functionality supported by hundreds of printer models from all major vendors. This paper describes the traces left in the iOS device when AirPrint is used and presents a method for recovering content and metadata of documents that have been printed.

  6. An Enhanced Access Reservation Protocol with a Partial Preamble Transmission Mechanism in NB-IoT Systems

    OpenAIRE

    Kim, Taehoon; Kim, Dong Min; Pratas, Nuno; Popovski, Petar; Sung, Dan Keun

    2017-01-01

    In this letter, we propose an enhanced Access Reservation Protocol (ARP) with a partial preamble transmission (PPT) mechanism for the narrow band Internet of Things (NB-IoT) systems. The proposed ARP can enhance the ARP performance by mitigating the occurrence of preamble collisions, while being compatible with the conventional NB-IoT ARP. We provide an analytical model that captures the performance of the proposed ARP in terms of false alarm, mis-detection and collision probabilities. Moreov...

  7. H5hut: A High-Performance I/O Library for Particle-based Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Howison, Mark; Adelmann, Andreas; Bethel, E. Wes; Gsell, Achim; Oswald, Benedikt; Prabhat,

    2010-09-24

    Particle-based simulations running on large high-performance computing systems over many time steps can generate an enormous amount of particle- and field-based data for post-processing and analysis. Achieving high-performance I/O for this data, effectively managing it on disk, and interfacing it with analysis and visualization tools can be challenging, especially for domain scientists who do not have I/O and data management expertise. We present the H5hut library, an implementation of several data models for particle-based simulations that encapsulates the complexity of HDF5 and is simple to use, yet does not compromise performance.

  8. Ergonomics-inspired Reshaping and Exploration of Collections of Models

    KAUST Repository

    Zheng, Youyi

    2015-06-22

    This paper examines the following question: given a collection of man-made shapes, e.g., chairs, can we effectively explore and rank the shapes with respect to a given human body – in terms of how well a candidate shape fits the specified human body? Answering this question requires identifying which shapes are more suitable for a prescribed body, and how to alter the input geometry to better fit the shapes to a given human body. The problem links physical proportions of the human body and its interaction with object geometry, which is often expressed as ergonomics guidelines. We present an interactive system that allows users to explore shapes using different avatar poses, while, at the same time providing interactive previews of how to alter the shapes to fit the user-specified body and pose. We achieve this by first constructing a fuzzy shape-to-body map from the ergonomic guidelines to multi-contacts geometric constraints; and then, proposing a novel contact-preserving deformation paradigm to realize a reshaping to adapt the input shape. We evaluate our method on collections of models from different categories and validate the results through a user study.

  9. Secure Access Control and Authority Delegation Based on Capability and Context Awareness for Federated IoT

    DEFF Research Database (Denmark)

    Anggorojati, Bayu; Mahalle, Parikshit N.; Prasad, Neeli R.

    2013-01-01

    Access control is a critical functionality in Internet of Things (IoT), and it is particularly promising to make access control secure, efficient and generic in a distributed environment. Another an important property of access control system in the IoT is flexibility which can be achieved...... by access or authority delegation. Delegation mechanisms in access control that have been studied until now have been intended mainly for a system that has no resource constraint, such as a web-based system, which is not very suitable for a highly pervasive system such as IoT. This chapter presents...... the Capability-based Context Aware Access Control (CCAAC) model including the authority delegation method, along with specification and protocol evaluation intended for federated Machine-to-Machine (M2M)/IoT. By using the identity and capability-based access control approach together with the contextual...

  10. NOVEL CONTEXT-AWARE CLUSTERING WITH HIERARCHICAL ADDRESSING (CCHA) FOR THE INTERNET OF THINGS (IoT)

    DEFF Research Database (Denmark)

    Mahalle, Parikshit N.; Prasad, Neeli R.; Prasad, Ramjee

    2013-01-01

    As computing technology becomes more tightly coupled into dynamic and mobile world of the Internet of Things (IoT), security mechanism becomes more stringent, less flexible and intrusive. Scalability issue in the IoT makes Identity Management (IdM) of ubiquitous things more challenging. Forming ad......-hoc network, interaction between these nomadic devices to provide seamless service extend the need of new identi-ties to the things, addressing and IdM in the IoT. New identities and identifier format to alleviate the perfor-mance issue is introduced in this paper. This paper pre-sents novel Context....... Furthermore, this paper also presents the framework for IdM in the IoT and mathematical model for queuing analysis....

  11. Transforming Monograph Collections with a Model of Collections as a Service

    Science.gov (United States)

    Way, Doug

    2017-01-01

    Financial pressures, changes in scholarly communications, the rise of online content, and the ability to easily share materials have provided libraries the opportunity to rethink their collections practices. This article provides an overview of these changes and outlines a framework for viewing collections as a service. It describes how libraries…

  12. Synthesizing Knowledge on Internet of Things (IoT)

    DEFF Research Database (Denmark)

    Liu, Fei; Tan, Chee-Wee; Lim, Eric T. K.

    2016-01-01

    Research on Internet of Things (IoT) has been booming for past couple of years due to technological advances and its potential for application. Nonetheless, the rapid growth of IoT articles as well as the heterogeneous nature of IoT pose challenges in synthesizing prior research on the phenomenon....... Based on quantitative citation analysis, this Research-in-Progress (RIP) study seeks to tackle the abovementioned challenges by reviewing 1,065 IoT articles retrieved from ISI Web of Science. Specifically, we employed HistCite to generate a historiography of IoT research. In turn, the historiography...... yields a citation network that not only aids us in identifying main paths of codification and diffusion, but also helps in exploring the existence of path-dependent transitions within extant literature. This study hence contributes to both IoT research and practice by tracing the accumulation...

  13. A Lightweight I/O Scheme to Facilitate Spatial and Temporal Queries of Scientific Data Analytics

    Science.gov (United States)

    Tian, Yuan; Liu, Zhuo; Klasky, Scott; Wang, Bin; Abbasi, Hasan; Zhou, Shujia; Podhorszki, Norbert; Clune, Tom; Logan, Jeremy; Yu, Weikuan

    2013-01-01

    In the era of petascale computing, more scientific applications are being deployed on leadership scale computing platforms to enhance the scientific productivity. Many I/O techniques have been designed to address the growing I/O bottleneck on large-scale systems by handling massive scientific data in a holistic manner. While such techniques have been leveraged in a wide range of applications, they have not been shown as adequate for many mission critical applications, particularly in data post-processing stage. One of the examples is that some scientific applications generate datasets composed of a vast amount of small data elements that are organized along many spatial and temporal dimensions but require sophisticated data analytics on one or more dimensions. Including such dimensional knowledge into data organization can be beneficial to the efficiency of data post-processing, which is often missing from exiting I/O techniques. In this study, we propose a novel I/O scheme named STAR (Spatial and Temporal AggRegation) to enable high performance data queries for scientific analytics. STAR is able to dive into the massive data, identify the spatial and temporal relationships among data variables, and accordingly organize them into an optimized multi-dimensional data structure before storing to the storage. This technique not only facilitates the common access patterns of data analytics, but also further reduces the application turnaround time. In particular, STAR is able to enable efficient data queries along the time dimension, a practice common in scientific analytics but not yet supported by existing I/O techniques. In our case study with a critical climate modeling application GEOS-5, the experimental results on Jaguar supercomputer demonstrate an improvement up to 73 times for the read performance compared to the original I/O method.

  14. Modelling Collective Opinion Formation by Means of Active Brownian Particles

    CERN Document Server

    Schweitzer, F; Schweitzer, Frank; Holyst, Janusz

    1999-01-01

    The concept of active Brownian particles is used to model a collective opinion formation process. It is assumed that individuals in community create a two-component communication field that influences the change of opinions of other persons and/or can induce their migration. The communication field is described by a reaction-diffusion equation, meaning that it has a certain lifetime, which models memory effects, further it can spread out in the community. Within our stochastic approach, the opinion change of the individuals is described by a master equation, while the migration is described by a set of Langevin equations, coupled by the communication field. In the mean-field limit which holds for fast communication, we derive a critical population size, above which the community separates into a majority and a minority with opposite opinions. The existence of external support (e.g. from mass media) can change the ratio between minority and majority, until above a critical external support the supported subpop...

  15. Xamarin mobile application development for iOS

    CERN Document Server

    Johnson, Paul F

    2013-01-01

    This book is a standard tutorial aimed at teaching you everything you need to know about iOS app development using Xamarin.This book is written for those who are new to iOS app development as well as more experienced developers who just need a quick reference book. It is assumed that you are already comfortable using C#. Those teaching iOS to new students will also find this book invaluable as a form of reference material.

  16. Multiple Independent File Parallel I/O with HDF5

    Energy Technology Data Exchange (ETDEWEB)

    Miller, M. C.

    2016-07-13

    The HDF5 library has supported the I/O requirements of HPC codes at Lawrence Livermore National Labs (LLNL) since the late 90’s. In particular, HDF5 used in the Multiple Independent File (MIF) parallel I/O paradigm has supported LLNL code’s scalable I/O requirements and has recently been gainfully used at scales as large as O(106) parallel tasks.

  17. A Step Towards Checking Security in IoT

    OpenAIRE

    Bodei, Chiara; Degano, Pierpaolo; Ferrari, Gian-Luigi; Galletta, Letterio

    2016-01-01

    The Internet of Things (IoT) is smartifying our everyday life. Our starting point is IoT-LySa, a calculus for describing IoT systems, and its static analysis, which will be presented at Coordination 2016. We extend the mentioned proposal in order to begin an investigation about security issues, in particular for the static verification of secrecy and some other security properties.

  18. Application development with Parse using iOS SDK

    CERN Document Server

    Birani, Bhanu

    2013-01-01

    A practical guide, featuring step-by-step instructions showing you how to use Parse iOS, and handle your data on cloud.If you are a developer who wants to build your applications instantly using Parse iOS as a back end application development, this book is ideal for you. This book will help you to understand Parse, featuring examples to help you get familiar with the concepts of Parse iOS.

  19. Benchmarking Distributed Stream Processing Platforms for IoT Applications

    OpenAIRE

    Shukla, Anshu; Simmhan, Yogesh

    2016-01-01

    Internet of Things (IoT) is a technology paradigm where millions of sensors monitor, and help inform or manage, physical, envi- ronmental and human systems in real-time. The inherent closed-loop re- sponsiveness and decision making of IoT applications makes them ideal candidates for using low latency and scalable stream processing plat- forms. Distributed Stream Processing Systems (DSPS) are becoming es- sential components of any IoT stack, but the efficacy and performance of contemporary DSP...

  20. Novel Authentication Schemes for IoT Based Healthcare Systems

    OpenAIRE

    Jia-Li Hou; Kuo-Hui Yeh

    2015-01-01

    With the advancement of information communication technologies, the evolution of the Internet has given rise to a ubiquitous network consisting of interconnected objects (or things), called the Internet of Things (IoT). Recently, the academic community has made great strides in researching and developing security for IoT based applications, focusing, in particular, on healthcare systems based on IoT networks. In this paper, we propose a sensor (or sensor tags) based communication architecture...

  1. Programmatic access to logical models in the Cell Collective modeling environment via a REST API.

    Science.gov (United States)

    Kowal, Bryan M; Schreier, Travis R; Dauer, Joseph T; Helikar, Tomáš

    2016-01-01

    Cell Collective (www.cellcollective.org) is a web-based interactive environment for constructing, simulating and analyzing logical models of biological systems. Herein, we present a Web service to access models, annotations, and simulation data in the Cell Collective platform through the Representational State Transfer (REST) Application Programming Interface (API). The REST API provides a convenient method for obtaining Cell Collective data through almost any programming language. To ensure easy processing of the retrieved data, the request output from the API is available in a standard JSON format. The Cell Collective REST API is freely available at http://thecellcollective.org/tccapi. All public models in Cell Collective are available through the REST API. For users interested in creating and accessing their own models through the REST API first need to create an account in Cell Collective (http://thecellcollective.org). thelikar2@unl.edu. Technical user documentation: https://goo.gl/U52GWo. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  2. High Resolution Global View of Io

    Science.gov (United States)

    1997-01-01

    Io, the most volcanic body in the solar system is seen in the highest resolution obtained to date by NASA's Galileo spacecraft. The smallest features that can be discerned are 2.5 kilometers in size. There are rugged mountains several kilometers high, layered materials forming plateaus, and many irregular depressions called volcanic calderas. Several of the dark, flow-like features correspond to hot spots, and may be active lava flows. There are no landforms resembling impact craters, as the volcanism covers the surface with new deposits much more rapidly than the flux of comets and asteroids can create large impact craters. The picture is centered on the side of Io that always faces away from Jupiter; north is to the top.Color images acquired on September 7, 1996 have been merged with higher resolution images acquired on November 6, 1996 by the Solid State Imaging (CCD) system aboard NASA's Galileo spacecraft. The color is composed of data taken, at a range of 487,000 kilometers, in the near-infrared, green, and violet filters and has been enhanced to emphasize the extraordinary variations in color and brightness that characterize Io's face. The high resolution images were obtained at ranges which varied from 245,719 kilometers to 403,100 kilometers.Launched in October 1989, Galileo entered orbit around Jupiter on December 7, 1995. The spacecraft's mission is to conduct detailed studies of the giant planet, its largest moons and the Jovian magnetic environment. The Jet Propulsion Laboratory, Pasadena, CA manages the mission for NASA's Office of Space Science, Washington, DC.This image and other images and data received from Galileo are posted on the World Wide Web, on the Galileo mission home page at URL http://galileo.jpl.nasa.gov. Background information and educational context for the images can be found at URL http://www.jpl.nasa.gov/galileo/sepo

  3. Strong tidal dissipation in Io and Jupiter from astrometric observations.

    Science.gov (United States)

    Lainey, Valéry; Arlot, Jean-Eudes; Karatekin, Ozgür; Van Hoolst, Tim

    2009-06-18

    Io is the volcanically most active body in the Solar System and has a large surface heat flux. The geological activity is thought to be the result of tides raised by Jupiter, but it is not known whether the current tidal heat production is sufficiently high to generate the observed surface heat flow. Io's tidal heat comes from the orbital energy of the Io-Jupiter system (resulting in orbital acceleration), whereas dissipation of energy in Jupiter causes Io's orbital motion to decelerate. Here we report a determination of the tidal dissipation in Io and Jupiter through its effect on the orbital motions of the Galilean moons. Our results show that the rate of internal energy dissipation in Io (k(2)/Q = 0.015 +/- 0.003, where k(2) is the Love number and Q is the quality factor) is in good agreement with the observed surface heat flow, and suggest that Io is close to thermal equilibrium. Dissipation in Jupiter (k(2)/Q = (1.102 +/- 0.203) x 10(-5)) is close to the upper bound of its average value expected from the long-term evolution of the system, and dissipation in extrasolar planets may be higher than presently assumed. The measured secular accelerations indicate that Io is evolving inwards, towards Jupiter, and that the three innermost Galilean moons (Io, Europa and Ganymede) are evolving out of the exact Laplace resonance.

  4. IoT interoperability:a hub-based approach

    OpenAIRE

    Blackstock, Michael; Lea, Rodger

    2014-01-01

    Interoperability in the Internet of Things is critical for emerging services and applications. In this paper we advocate the use of IoT ‘hubs’ to aggregate things using web protocols, and suggest a staged approach to interoperability. In the context of a UK government funded project involving 8 IoT projects to address cross-domain IoT interoperability, we introduce the HyperCat IoT catalogue specification. We then describe the tools and techniques we developed to adapt an existing data portal...

  5. Mass and energy balance of the cold Io torus

    Science.gov (United States)

    Moreno, M. A.; Barbosa, D. D.

    1986-01-01

    A new model of the cold Io torus is described. Ions and energy are injected into the system by independent processes so that the mass balance is isolated from the energy balance. The primary source of energy is local ionization and acceleration of hot pickup ions resulting from charge exchange between thermal ions and an extended cloud of Iogenic sulfur and oxygen atoms. The primary energy loss mechanism of the plasma is collisionally excited line emission at optical wavelengths. The primary ion source is radial diffusion inward from the hot torus on a time scale of 140-710 days. The primary ion loss mechanism is a novel two-step enhanced recombination mechanism involving charge exchange between thermal ions and an extended cloud of neutral SO2 molecules, followed by rapid dissociative recombination of the resultant molecular ion. The model provides a self-consistent solution which reconciles a number of diverse observations with known physical processes.

  6. IoT applied to home automation

    OpenAIRE

    López Vélez, Lucas

    2015-01-01

    This project aims to use HTTP to standarize the way IoT devices are managed. By setteling down requirements for every Smart Object, it is achievable the coding of an application which, only using HTTP-based interactions, is capable of fully manage a device. For the design of the whole enviroment, there are two roles defned, the Smart Object, referred to the distribute devices and the Core Server referred to the application which will manage them. Paradigms like RESTfull web services, MVC web ...

  7. The Io Torus and the Jovian magnetosphere

    Science.gov (United States)

    Feldman, P. D.

    1986-01-01

    The IUE monitored the physical conditions in the Jovian magnetospheric system using the in situ Voyager measurements as a basis for comparison. Both the Io plasma torus, observable in emission of S(+), S(++), and S(+3), and the Jovian H2 polar aurorae are accessible to the IUE short wavelength spectrograph. Despite significant short-term variations observed, the electron density and temperature structure of the torus has not changed appreciably in the 7 yr since the Voyager encounters. The total radiated power from the polar aurorae remained relatively constant during this period.

  8. Absorption bands in the spectrum of Io

    Science.gov (United States)

    Cruikshank, D. P.; Jones, T. J.; Pilcher, C. B.

    1978-01-01

    Near-infrared spectra of Io in the region from 2.8 to 4.2 microns are reported which show distinct absorption features, the most notable at 4.1 microns. Frozen volatiles or atmospheric gases cannot account for these absorptions, nor do they resemble those seen in common silicate rocks. Several candidate substances, most notably nitrate and carbonate salts, show absorption features in this spectral region; the deepest band in the spectrum may be a nitrate absorption. The satellite surface is shown to be anhydrous, as indicated by the absence of the 3-micron bound water band.

  9. ''Towards a High-Performance and Robust Implementation of MPI-IO on Top of GPFS''

    Energy Technology Data Exchange (ETDEWEB)

    Prost, J.P.; Tremann, R.; Blackwore, R.; Hartman, C.; Hedges, R.; Jia, B.; Kouiges, A.; White, A.

    2000-01-11

    MPI-IO/GPFS is a prototype implementation of the I/O chapter of the Message Passing Interface (MPI) 2 standard. It uses the IBM General Parallel File System (GPFS), with prototyped extensions, as the underlying file system. this paper describes the features of this prototype which support its high performance and robustness. The use of hints at the file system level and at the MPI-IO level allows tailoring the use of the file system to the application needs. Error handling in collective operations provides robust error reporting and deadlock prevention in case of returning errors.

  10. Data-Filtering System to Avoid Total Data Distortion in IoT Networking

    Directory of Open Access Journals (Sweden)

    Dae-Young Kim

    2017-01-01

    Full Text Available In the Internet of Things (IoT networking, numerous objects are connected to a network. They sense events and deliver the sensed information to the cloud. A lot of data is generated in the IoT network, and servers in the cloud gather the sensed data from the objects. Then, the servers analyze the collected data and provide proper intelligent services to users through the results of the analysis. When the server analyzes the collected data, if there exists malfunctioning data, distortional results of the analysis will be generated. The distortional results lead to misdirection of the intelligent services, leading to poor user experience. In the analysis for intelligent services in IoT, malfunctioning data should be avoided because integrity of the collected data is crucial. Therefore, this paper proposes a data-filtering system for the server in the cloud. The proposed data-filtering system is placed in front of the server and firstly receives the sensed data from the objects. It employs the naïve Bayesian classifier and, by learning, classifies the malfunctioning data from among the collected data. Data with integrity is delivered to the server for analysis. Because the proposed system filters the malfunctioning data, the server can obtain accurate analysis results and reduce computing load. The performance of the proposed data-filtering system is evaluated through computer simulation. Through the simulation results, the efficiency of the proposed data-filtering system is shown.

  11. ZioLib: A parallel I/O library

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Woo-Sun; Ding, Chris

    2003-08-01

    In a distributed memory parallel environment, many applications rely on a serial I/O strategy, where the global array is gathered on a single MPI process and then written out to a file. I/O performance with this approach is largely limited by single process I/O bandwidth. Even when parallel I/O is used, satisfactory parallel scaling is not always observed. It is because in many applications fields are not necessarily in a most favorable parallel decomposition for I/O. The best I/O rates are obtained when a field is decomposed with respect to the array's last dimension (referred to here as Z). Another situation often encountered in many applications is that a field in CPU resident memory is in one index order but must be stored in a disk file in another order. Changing index orders can complicate a parallel I/O implementation and slow down I/O. ZioLib facilitates an efficient parallel I/O for arrays in such situations. In case of a write, ZioLib remaps a distributed field into a Z-decomposition on a subset of processes (which will be called the I/O staging processes) and from there writes to a disk file in parallel. In this Z-decomposition, the data layout of the remapped array on the staging processes memory is the same as on disk, thus only block data transfer occurs during parallel I/O, achieving maximum efficiency. In case of a read the steps are reversed to build the required distributed arrays on the computational processes.

  12. Fog collection and deposition modelling - EcoCatch Lunz

    Science.gov (United States)

    Koller, M. W.; Ramírez-Santa Cruz, C.; Leder, K.; Bauer, H.; Dorninger, M.; Hofhansl, F.; Wanek, W.; Kasper-Giebl, A.

    2010-07-01

    The area of Lunz am See (N 047.855°, E 015.068°, 650 m a.s.l.) in Lower Austria has been subject to long term monitoring of meteorological parameters as well as wet deposition. Even though Lunz is known for its good air quality, with about 200 days of precipitation per year reaching an annual average of 1500 mm deposition, immission fluxes reach levels of critical loads. For instance, nitrogen input from wet deposition of nitrate and ammonium is > 14 kg ha-1 a-1, and sulphur input from sulphate is 5 kg ha-1 a-1. In the framework of the EcoCatch project1) wet, dry and occult deposition have been investigated in detail in an alluvial forest near the Biological Station (Lunz/See) since September 2008. The overall contribution of dry and occult deposition was expected to be comparably low and only of importance in times of decreased wet deposition. Collection of fog samples was performed with an active fog sampler, regulated by a Vaisala PWD-12 sensor monitoring visibility. Temperature, relative humidity, wind speed and direction were logged by a HOBO weather station. Filter stacks were used for sampling of aerosol particles and gaseous components and a Wet And Dry Only Sampler (WADOS) was used to sample precipitation. Solute analysis was carried out via ion chromatography. Alkali and earth alkali metals, chloride as well as ammonium, sulphate and nitrate were quantified in rain, aerosol and fog samples on an event basis. In addition dry deposition included nitrogen oxide and dioxide, sulphur dioxide and ammonia measurements. A site specific relation of liquid water content (LWC) to visibility was established using the collection rate and the known collection efficiency of the fog sampler. A modified version of the fog deposition resistance model devised by G.M. Lovett was used to quantify occult deposition onto the alluvial forest. The surface area index of local vegetation was measured with a SunScan System and tree height was determined using a Vertex IV

  13. Nonlinear Synapses for Large-Scale Models: An Efficient Representation Enables Complex Synapse Dynamics Modeling in Large-Scale Simulations

    Directory of Open Access Journals (Sweden)

    Eric eHu

    2015-09-01

    Full Text Available Chemical synapses are comprised of a wide collection of intricate signaling pathways involving complex dynamics. These mechanisms are often reduced to simple spikes or exponential representations in order to enable computer simulations at higher spatial levels of complexity. However, these representations cannot capture important nonlinear dynamics found in synaptic transmission. Here, we propose an input-output (IO synapse model capable of generating complex nonlinear dynamics while maintaining low computational complexity. This IO synapse model is an extension of a detailed mechanistic glutamatergic synapse model capable of capturing the input-output relationships of the mechanistic model using the Volterra functional power series. We demonstrate that the IO synapse model is able to successfully track the nonlinear dynamics of the synapse up to the third order with high accuracy. We also evaluate the accuracy of the IO synapse model at different input frequencies and compared its performance with that of kinetic models in compartmental neuron models. Our results demonstrate that the IO synapse model is capable of efficiently replicating complex nonlinear dynamics that were represented in the original mechanistic model and provide a method to replicate complex and diverse synaptic transmission within neuron network simulations.

  14. Reverse Engineering and Security Evaluation of Commercial Tags for RFID-Based IoT Applications

    Science.gov (United States)

    Fernández-Caramés, Tiago M.; Fraga-Lamas, Paula; Suárez-Albela, Manuel; Castedo, Luis

    2016-01-01

    The Internet of Things (IoT) is a distributed system of physical objects that requires the seamless integration of hardware (e.g., sensors, actuators, electronics) and network communications in order to collect and exchange data. IoT smart objects need to be somehow identified to determine the origin of the data and to automatically detect the elements around us. One of the best positioned technologies to perform identification is RFID (Radio Frequency Identification), which in the last years has gained a lot of popularity in applications like access control, payment cards or logistics. Despite its popularity, RFID security has not been properly handled in numerous applications. To foster security in such applications, this article includes three main contributions. First, in order to establish the basics, a detailed review of the most common flaws found in RFID-based IoT systems is provided, including the latest attacks described in the literature. Second, a novel methodology that eases the detection and mitigation of such flaws is presented. Third, the latest RFID security tools are analyzed and the methodology proposed is applied through one of them (Proxmark 3) to validate it. Thus, the methodology is tested in different scenarios where tags are commonly used for identification. In such systems it was possible to clone transponders, extract information, and even emulate both tags and readers. Therefore, it is shown that the methodology proposed is useful for auditing security and reverse engineering RFID communications in IoT applications. It must be noted that, although this paper is aimed at fostering RFID communications security in IoT applications, the methodology can be applied to any RFID communications protocol. PMID:28029119

  15. Reverse Engineering and Security Evaluation of Commercial Tags for RFID-Based IoT Applications

    Directory of Open Access Journals (Sweden)

    Tiago M. Fernández-Caramés

    2016-12-01

    Full Text Available The Internet of Things (IoT is a distributed system of physical objects that requires the seamless integration of hardware (e.g., sensors, actuators, electronics and network communications in order to collect and exchange data. IoT smart objects need to be somehow identified to determine the origin of the data and to automatically detect the elements around us. One of the best positioned technologies to perform identification is RFID (Radio Frequency Identification, which in the last years has gained a lot of popularity in applications like access control, payment cards or logistics. Despite its popularity, RFID security has not been properly handled in numerous applications. To foster security in such applications, this article includes three main contributions. First, in order to establish the basics, a detailed review of the most common flaws found in RFID-based IoT systems is provided, including the latest attacks described in the literature. Second, a novel methodology that eases the detection and mitigation of such flaws is presented. Third, the latest RFID security tools are analyzed and the methodology proposed is applied through one of them (Proxmark 3 to validate it. Thus, the methodology is tested in different scenarios where tags are commonly used for identification. In such systems it was possible to clone transponders, extract information, and even emulate both tags and readers. Therefore, it is shown that the methodology proposed is useful for auditing security and reverse engineering RFID communications in IoT applications. It must be noted that, although this paper is aimed at fostering RFID communications security in IoT applications, the methodology can be applied to any RFID communications protocol.

  16. Reverse Engineering and Security Evaluation of Commercial Tags for RFID-Based IoT Applications.

    Science.gov (United States)

    Fernández-Caramés, Tiago M; Fraga-Lamas, Paula; Suárez-Albela, Manuel; Castedo, Luis

    2016-12-24

    The Internet of Things (IoT) is a distributed system of physical objects that requires the seamless integration of hardware (e.g., sensors, actuators, electronics) and network communications in order to collect and exchange data. IoT smart objects need to be somehow identified to determine the origin of the data and to automatically detect the elements around us. One of the best positioned technologies to perform identification is RFID (Radio Frequency Identification), which in the last years has gained a lot of popularity in applications like access control, payment cards or logistics. Despite its popularity, RFID security has not been properly handled in numerous applications. To foster security in such applications, this article includes three main contributions. First, in order to establish the basics, a detailed review of the most common flaws found in RFID-based IoT systems is provided, including the latest attacks described in the literature. Second, a novel methodology that eases the detection and mitigation of such flaws is presented. Third, the latest RFID security tools are analyzed and the methodology proposed is applied through one of them (Proxmark 3) to validate it. Thus, the methodology is tested in different scenarios where tags are commonly used for identification. In such systems it was possible to clone transponders, extract information, and even emulate both tags and readers. Therefore, it is shown that the methodology proposed is useful for auditing security and reverse engineering RFID communications in IoT applications. It must be noted that, although this paper is aimed at fostering RFID communications security in IoT applications, the methodology can be applied to any RFID communications protocol.

  17. Documentation of the Brookhaven energy I-O and I-O/BESOM linkage

    Energy Technology Data Exchange (ETDEWEB)

    Fraser, J T

    1978-08-01

    This paper documents the BNL input-output model and its linkage with the BNL linear activity analysis model, BESOM. Linking of the I-O and the linear programming (LP) models permits assessment of economy-wide impacts of future technological changes in both the energy sector and elsewhere in the economy as well as impacts arising from a wide range of government energy policies. This paper describes the development and structure of the current version of the BNL I-O model presently in use and the structural modifications of a capital-investment routine, and a balance-of-payments routine that have been incorporated. Also, the structure and solution techniques for the linked I-O/LP model are described.

  18. Analysis of DDoS-capable IoT malwares

    DEFF Research Database (Denmark)

    De Donno, Michele; Dragoni, Nicola; Giaretta, Alberto

    2017-01-01

    to the top Distributed Denial of Service (DDoS) attacks, making them more powerful and easier to achieve than ever. This paper aims at provide an up-to-date picture of DDoS attacks in the specific subject of the IoT, studying how these attacks work and considering the most common families in the IoT context...

  19. Interaction between users and IoT clusters

    DEFF Research Database (Denmark)

    Shinde, Gitanjali; Olesen, Henning

    2015-01-01

    The Internet of Things (IoT) is paving the way for a vast number of objects in our environment to react, respond and work autonomously as and when required and as per their capability, role and position. They will be able to announce and offer their services to the users, and together this will e......The Internet of Things (IoT) is paving the way for a vast number of objects in our environment to react, respond and work autonomously as and when required and as per their capability, role and position. They will be able to announce and offer their services to the users, and together...... this will enable the vision of an "Internet of People, Things and Services" (IoPTS). Application areas for IoT include smart cities, smart homes, environmental control, security & emergency, retail, logistics, industrial control, smart farming, and e-Health. All the IoT objects are organized in clusters, which...... framework that is needed to realize IoPTS. In particular, we focus on the interaction between the users and the IoT clusters, where the user profile (role, privileges, and preferences) should be matched with the services offered by the IoT cluster, including the initial set-up, access control...

  20. A survey of IoT cloud platforms

    Directory of Open Access Journals (Sweden)

    Partha Pratim Ray

    2016-12-01

    Full Text Available Internet of Things (IoT envisages overall merging of several “things” while utilizing internet as the backbone of the communication system to establish a smart interaction between people and surrounding objects. Cloud, being the crucial component of IoT, provides valuable application specific services in many application domains. A number of IoT cloud providers are currently emerging into the market to leverage suitable and specific IoT based services. In spite of huge possible involvement of these IoT clouds, no standard cum comparative analytical study has been found across the literature databases. This article surveys popular IoT cloud platforms in light of solving several service domains such as application development, device management, system management, heterogeneity management, data management, tools for analysis, deployment, monitoring, visualization, and research. A comparison is presented for overall dissemination of IoT clouds according to their applicability. Further, few challenges are also described that the researchers should take on in near future. Ultimately, the goal of this article is to provide detailed knowledge about the existing IoT cloud service providers and their pros and cons in concrete form.

  1. Beginning iOS 3D unreal games development

    CERN Document Server

    Chin, Robert

    2012-01-01

    Aims to be first book on the market concerning iOS 3D game apps development using the Unreal UDK Unreal UDK and scripting engine are popular emerging tools used for building games like those you see from Epic iOS and mobile game apps development are popular tech and book markets

  2. Development of IoT-based Urban Sinkhole and Road Collapse Monitoring System

    Science.gov (United States)

    Jung, B.; Bang, E.; Lee, H. J.; Jeong, S. W.; Ryu, D.; Kim, S. W.; Kim, B. K.; Yum, B. W.; Lee, I. H.

    2015-12-01

    The consortium of Korean government-funded research institutes is developing IoT- (Internet of things) based underground safety monitoring and alerting system to manage risks arisen from land subsidence and road collapses in metropolitan areas in South Korea. The system consists of four major functional units: subsurface monitoring sensors sending data directly through the internet, centralized servers capable of collecting and processing big data, computational modules providing physical and statistical models for predicting high-risk areas, and geologic information service platforms visualizing underground safety maps for the public. The target urban area will be regionally covered by multi-sensors monitoring soil and groundwater conditions, and by high resolution satellite InSAR images filtering vertical land movements in a centimeter scale. Integrity of buried water supply and sewer lines are also monitored for the possibility of underground cavity formation. Once high-risk area is predicted, more tangible surveying methods such as ground penetrating radar (GPR) and resistivity survey can be applied for locating the cavities. Additionally, laboratory and field experiments are performed to understand overall road collapsing mechanism from the initial cavity creation to its progressive development depending on soil types, degree of compaction, and groundwater condition. Acquired results will update existing fully-coupled hydromechanical models for more accurate prediction of the collapsing-vulnerable area. Preliminary laboratory experiments show that the upward propagation of subsurface cavity is closely related to the soil properties, such as sand-clay ratios and moisture contents, and groundwater dynamics.

  3. Future of IoT Networks: A Survey

    Directory of Open Access Journals (Sweden)

    Suk Kyu Lee

    2017-10-01

    Full Text Available The introduction of mobile devices has changed our daily lives. They enable users to obtain information even in a nomadic environment and provide information without limitations. A decade after the introduction of this technology, we are now facing the next innovation that will change our daily lives. With the introduction of the Internet of Things (IoT, our communication ability will not be restricted to only mobile devices. Rather, it will expand to all things with which we coexist. Many studies have discussed IoT-related services and platforms. However, there are only limited discussions about the IoT network. In this paper, we will thoroughly analyze the technical details about the IoT network. Based on our survey of papers, we will provide insight about the future IoT network and the crucial components that will enable it.

  4. SACA: Self-Aware Communication Architecture for IoT Using Mobile Fog Servers

    Directory of Open Access Journals (Sweden)

    Vishal Sharma

    2017-01-01

    Full Text Available Internet of things (IoT aims at bringing together large business enterprise solutions and architectures for handling the huge amount of data generated by millions of devices. For this aim, IoT is necessary to connect various devices and provide a common platform for storage and retrieval of information without fail. However, the success of IoT depends on the novelty of network and its capability in sustaining the increasing demand by users. In this paper, a self-aware communication architecture (SACA is proposed for sustainable networking over IoT devices. The proposed approach employs the concept of mobile fog servers which make relay using the train and unmanned aerial vehicle (UAV networks. The problem is presented based on Wald’s maximum model, which is resolved by the application of a distributed node management (DNM system and state dependency formulations. The proposed approach is capable of providing prolonged connectivity by increasing the network reliability and sustainability even in the case of failures. The effectiveness of the proposed approach is demonstrated through numerical and network simulations in terms of significant gains attained with lesser delay and fewer packet losses. The proposed approach is also evaluated against Sybil, wormhole, and DDoS attacks for analyzing its sustainability and probability of connectivity in unfavorable conditions.

  5. Desain dan Aplikasi Internet of Thing (IoT untuk Smart Grid Power Sistem

    Directory of Open Access Journals (Sweden)

    Nur Asyik Hidayatullah

    2017-04-01

    Full Text Available Jaringan listrik cerdas atau yang lebih dikenal dengan istilah Smart Grid merupakan salah satu bentuk transformasi dan reformasi teknologi di industri ketenagalistrikan. Smart Grid adalah jaringan energi listrik modern yang secara cerdas dapat mengintegrasikan jaringan listrik dengan perangkat komunikasi yang mendukung pembangkit dan jaringan transmisi distribusi listrik menjadi lebih atraktif, komunikatif dan berkualitas. Smart Grid juga mampu untuk mencegah dan mengisolasi gangguan dengan cepat serta menyajikan informasi data kelistrikan secara real time. Sedangkan Internet of Thing (IoT adalah sebuah metode yang bertujuan untuk memaksimalkan manfaat dari konektivitas internet untuk melakukan transfer dan pemrosesan data-data atau informasi melalui sebuah jaringan internet secara nirkabel, virtual dan otonom. IoT secara teknis dapat mendorong dalam mengembangkan jaringan smart grid dengan mengintegrasikan insfrastruktur utama power sistem mulai dari sisi pembangkit sampai dengan konsumen akhir melalui wireless sensor network secara otomatis. Dengan pemanfaatan IoT diharapkan dapat meningkatkan keandalan sistem informasi dari jaringan listrik serta meningkatkan efisiensi terhadap insfrastruktur listrik yang sudah tersedia. Artikel ini akan menyajikan konsep teknologi smart grid, internet of thing dan membahas model desain dan aplikasi IoT di jaringan smart grid.

  6. The Spatial Distribution of Volcanic Events on Io in 2013-2015

    Science.gov (United States)

    de Kleer, Katherine R.; de Pater, Imke

    2015-11-01

    The spatial distribution of heat flow on Io is a key prediction of tidal heat dissipation models, and therefore provides an important constraint for understanding Io’s interior. However, the majority of our knowledge about eruption locations is derived from geological features tracing long time periods (e.g. Hamilton et al., 2013), and from activity during the Galileo era (e.g. Davies et al., 2015; Veeder et al., 2015).We report on new results from a campaign to image Io in the near-infrared with adaptive optics on the Keck and Gemini N telescopes. We observed Io on 93 nights between August 2013 and June 2015, detecting volcanic activity at dozens of hot spot locations. We present the spatial distribution of the observed eruption sites during this period, and compare this with the distributions inferred from past hot spot and patera locations by previous authors. We discuss the locations of eruptions of different magnitudes, including a preponderance of bright activity at latitudes polewards of 45 degrees in both hemispheres and an apparent spatial clustering of activity in the months following large eruptions. Finally, we address the durations of the detected eruptions, as well as connecting our findings to the EXCEED Mission’s observations of the Io plasma torus during the same time period.

  7. Creating a collection development model for a marine science library

    OpenAIRE

    Robinson, Carla

    2011-01-01

    The purpose of this article is to update and build on the approximate 10,000 item collection of the Harbor Branch Oceanographic Institute Library. This article will present a history of Harbor Branch and its library, and a literature review, outlining the collection development methods of other marine science libraries and academic libraries. The article will relate brief histories of three marine science libraries. A comparative table is constructed to compare Harbor Branch Library with thr...

  8. Real-time Medical Emergency Response System: Exploiting IoT and Big Data for Public Health.

    Science.gov (United States)

    Rathore, M Mazhar; Ahmad, Awais; Paul, Anand; Wan, Jiafu; Zhang, Daqiang

    2016-12-01

    Healthy people are important for any nation's development. Use of the Internet of Things (IoT)-based body area networks (BANs) is increasing for continuous monitoring and medical healthcare in order to perform real-time actions in case of emergencies. However, in the case of monitoring the health of all citizens or people in a country, the millions of sensors attached to human bodies generate massive volume of heterogeneous data, called "Big Data." Processing Big Data and performing real-time actions in critical situations is a challenging task. Therefore, in order to address such issues, we propose a Real-time Medical Emergency Response System that involves IoT-based medical sensors deployed on the human body. Moreover, the proposed system consists of the data analysis building, called "Intelligent Building," depicted by the proposed layered architecture and implementation model, and it is responsible for analysis and decision-making. The data collected from millions of body-attached sensors is forwarded to Intelligent Building for processing and for performing necessary actions using various units such as collection, Hadoop Processing (HPU), and analysis and decision. The feasibility and efficiency of the proposed system are evaluated by implementing the system on Hadoop using an UBUNTU 14.04 LTS coreTMi5 machine. Various medical sensory datasets and real-time network traffic are considered for evaluating the efficiency of the system. The results show that the proposed system has the capability of efficiently processing WBAN sensory data from millions of users in order to perform real-time responses in case of emergencies.

  9. IoTFLiP: IoT-based Flip Learning Platform for Medical Education

    OpenAIRE

    Ali, Maqbool; Bilal, Hafiz Syed Muhammad; Razzaq, Muhammad Asif; Khan, Jawad; Lee, Sungyoung; Idris, Muhammad; Aazam, Mohammad; Choi, Taebong; Han, Soyeon Caren; Kang, Byeong Ho

    2017-01-01

    Case-Based Learning (CBL) has become an effective pedagogy for student-centered learning in medical education, which is founded on persistent patient cases. Flippped learning and Internet of Things (IoTs) concepts have gained significant attention in recent years. Using these concepts in conjunction with CBL can improve learning ability by providing real evolutionary medical cases. It also enables students to build confidence in their decision making, and efficiently enhances teamwork in the ...

  10. Galileo SSI Observations of Volcanic Activity at Tvashtar Catena, Io

    Science.gov (United States)

    Milazzo, M. P.; Keszthely, L. P.; Radebaugh, J.; Davies, A. G.; Turtle, E. P.; Geissler, P.; Klaasen, K. P.; McEwen, A. S.

    2005-01-01

    Introduction: We report on the analysis of the Galileo SSI's observations of the volcanic activity at Tvashtar Catena, Io as discussed by Milazzo et al. Galileo's Solid State Imager (SSI) observed Tvashtar Catena (63 deg N, 120 deg W) four times between November 1999 and October 2001, providing a unique look at the distinctive high latitude volcanism on Io. The November 1999 observation spatially resolved, for the first time, an active extraterrestrial fissure eruption. The brightness temperature of the lavas at the November 1999 fissure eruption was 1300 K. The second observation (orbit I27, February 2000) showed a large (approx. 500 sq km) region with many, small spots of hot, active lava. The third observation was taken in conjunction with a Cassini observation in December 2000 and showed a Pele-like plume deposition ring, while the Cassini images revealed a 400 km high Pele-type plume above the Catena. The final Galileo SSI observation of Tvashtar was acquired in October 2001, and all obvious (to SSI) activity had ceased, although data from Galileo's Near Infrared Mapping Spectrometer (NIMS) indicated that there was still significant thermal emission from the Tvashtar region. We have concentrated on analyzing the style of eruption during orbit I27 (February 2000). Comparison with a lava flow cooling model indicates that the behavior of the Tvashtar eruption during I27 does not match that of "simple" advancing lava flows. Instead, it may be an active lava lake or a complex set of lava flows with episodic, overlapping (in time and space) eruptions.

  11. Internet of things and bariatric surgery follow-up: Comparative study of standard and IoT follow-up.

    Science.gov (United States)

    Vilallonga, Ramon; Lecube, Albert; Fort, José Manuel; Boleko, Maria Angeles; Hidalgo, Marta; Armengol, Manel

    2013-09-01

    Follow-up of obese patient is difficult. There is no literature related to patient follow-up that incorporates the concept of Internet of Things (IoT), use of WiFi, Internet, or portable devices for this purpose. This prospective observational study commenced in June 2011. Patients were prospectively offered to participate in the IoT study group, in which they received a WiFi scale (Withing®, Paris) that provides instant WiFi data to the patient and surgeon. Other patients were admitted to the standard follow-up group at the outpatient clinic. A total of 33 patients were included in our study (ten in the IoT group). Twelve patients did not have WiFi at home, ten lacked of computer knowledge, and seven preferred standard for follow-up. All patients underwent different surgical procedures. There were no complications. Excess weight loss (EWL) was similar in both groups. More than 90% of patients were satisfied. In the IoT group, patients considered it valuable in saving time, and considered seeing their evolution graphics extremely motivating. IoT technology can monitor medical parameters remotely and collect data. A WiFi scale can facilitate preoperative and follow-up. Standard follow-up in a classical outpatient clinic setting with the surgeon was preferred globally.

  12. Hash-chain-based authentication for IoT

    Directory of Open Access Journals (Sweden)

    Antonio PINTO

    2016-12-01

    Full Text Available The number of everyday interconnected devices continues to increase and constitute the Internet of Things (IoT. Things are small computers equipped with sensors and wireless communications capabilities that are driven by energy constraints, since they use batteries and may be required to operate over long periods of time. The majority of these devices perform data collection. The collected data is stored on-line using web-services that, sometimes, operate without any special considerations regarding security and privacy. The current work proposes a modified hash-chain authentication mechanism that, with the help of a smartphone, can authenticate each interaction of the devices with a REST web-service using One Time Passwords (OTP while using open wireless networks. Moreover, the proposed authentication mechanism adheres to the stateless, HTTP-like behavior expected of REST web-services, even allowing the caching of server authentication replies within a predefined time window. No other known web-service authentication mechanism operates in such manner.

  13. Hybrid Modelling of Individual Movement and Collective Behaviour

    KAUST Repository

    Franz, Benjamin

    2013-01-01

    Mathematical models of dispersal in biological systems are often written in terms of partial differential equations (PDEs) which describe the time evolution of population-level variables (concentrations, densities). A more detailed modelling approach is given by individual-based (agent-based) models which describe the behaviour of each organism. In recent years, an intermediate modelling methodology - hybrid modelling - has been applied to a number of biological systems. These hybrid models couple an individual-based description of cells/animals with a PDE-model of their environment. In this chapter, we overview hybrid models in the literature with the focus on the mathematical challenges of this modelling approach. The detailed analysis is presented using the example of chemotaxis, where cells move according to extracellular chemicals that can be altered by the cells themselves. In this case, individual-based models of cells are coupled with PDEs for extracellular chemical signals. Travelling waves in these hybrid models are investigated. In particular, we show that in contrary to the PDEs, hybrid chemotaxis models only develop a transient travelling wave. © 2013 Springer-Verlag Berlin Heidelberg.

  14. An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare.

    Science.gov (United States)

    Yang, Zhe; Zhou, Qihao; Lei, Lei; Zheng, Kan; Xiang, Wei

    2016-12-01

    Public healthcare has been paid an increasing attention given the exponential growth human population and medical expenses. It is well known that an effective health monitoring system can detect abnormalities of health conditions in time and make diagnoses according to the gleaned data. As a vital approach to diagnose heart diseases, ECG monitoring is widely studied and applied. However, nearly all existing portable ECG monitoring systems cannot work without a mobile application, which is responsible for data collection and display. In this paper, we propose a new method for ECG monitoring based on Internet-of-Things (IoT) techniques. ECG data are gathered using a wearable monitoring node and are transmitted directly to the IoT cloud using Wi-Fi. Both the HTTP and MQTT protocols are employed in the IoT cloud in order to provide visual and timely ECG data to users. Nearly all smart terminals with a web browser can acquire ECG data conveniently, which has greatly alleviated the cross-platform issue. Experiments are carried out on healthy volunteers in order to verify the reliability of the entire system. Experimental results reveal that the proposed system is reliable in collecting and displaying real-time ECG data, which can aid in the primary diagnosis of certain heart diseases.

  15. RapidIO as a multi-purpose interconnect

    Science.gov (United States)

    Baymani, Simaolhoda; Alexopoulos, Konstantinos; Valat, Sébastien

    2017-10-01

    RapidIO (http://rapidio.org/) technology is a packet-switched high-performance fabric, which has been under active development since 1997. Originally meant to be a front side bus, it developed into a system level interconnect which is today used in all 4G/LTE base stations world wide. RapidIO is often used in embedded systems that require high reliability, low latency and scalability in a heterogeneous environment - features that are highly interesting for several use cases, such as data analytics and data acquisition (DAQ) networks. We will present the results of evaluating RapidIO in a data analytics environment, from setup to benchmark. Specifically, we will share the experience of running ROOT and Hadoop on top of RapidIO. To demonstrate the multi-purpose characteristics of RapidIO, we will also present the results of investigating RapidIO as a technology for high-speed DAQ networks using a generic multi-protocol event-building emulation tool. In addition we will present lessons learned from implementing native ports of CERN applications to RapidIO.

  16. IoT Platforms: Analysis for Building Projects

    Directory of Open Access Journals (Sweden)

    Rusu Liviu DUMITRU

    2017-01-01

    Full Text Available This paper presents a general survey of IoT platforms in terms of features for IoT project de-velopers. I will briefly summarize the state of knowledge in terms of technology regarding “In-ternet of Things” first steps in developing this technology, history, trends, sensors and micro-controllers used. I have evaluated a number of 5 IoT platforms in terms of the features needed to develop a IoT project. I have listed those components that are most appreciated by IoT pro-ject developers and the results have been highlighted in a comparative analysis of these plat-forms from the point of view of IoT project developers and which are strictly necessary as a de-velopment environment for an IoT project based. I’ve also considered the users' views of such platforms in terms of functionality, advantages, disadvantages and dangers presented by this technology.

  17. Collection/aggregation algorithms in Lagrangian cloud microphysical models: rigorous evaluation in box model simulations

    Science.gov (United States)

    Unterstrasser, Simon; Hoffmann, Fabian; Lerch, Marion

    2017-04-01

    Recently, several Lagrangian microphysical models have been developed which use a large number of (computational) particles to represent a cloud. In particular, the collision process leading to coalescence of cloud droplets or aggregation of ice crystals is implemented differently in various models. Three existing implementations are reviewed and extended, and their performance is evaluated by a comparison with well-established analytical and bin model solutions. In this first step of rigorous evaluation, box model simulations, with collection/aggregation being the only process considered, have been performed for the three well-known kernels of Golovin, Long and Hall. Besides numerical parameters, like the time step and the number of simulation particles (SIPs) used, the details of how the initial SIP ensemble is created from a prescribed analytically defined size distribution is crucial for the performance of the algorithms. Using a constant weight technique, as done in previous studies, greatly underestimates the quality of the algorithms. Using better initialisation techniques considerably reduces the number of required SIPs to obtain realistic results. From the box model results, recommendations for the collection/aggregation implementation in higher dimensional model setups are derived. Suitable algorithms are equally relevant to treating the warm rain process and aggregation in cirrus.

  18. Sample size for collecting germplasms–a polyploid model with ...

    Indian Academy of Sciences (India)

    Numerous expressions/results developed for germplasm collection/regeneration for diploid populations by earlier workers can be directly deduced from our general expression by assigning appropriate values of the corresponding parameters. A seed factor which influences the plant sample size has also been isolated to ...

  19. Sample size for collecting germplasms – a polyploid model with ...

    Indian Academy of Sciences (India)

    Unknown

    germplasm collection/regeneration for diploid populations by earlier workers can be directly deduced from our general expression by assigning appropriate values of the corresponding parameters. A seed factor which influences the plant sample size has also been isolated to aid the collectors in selecting the appropriate.

  20. Recent European Challenges and the Danish Collective Agreement Model

    DEFF Research Database (Denmark)

    Larsen, Trine Pernille; Navrbjerg, Steen Erik

    are related to the new forms of cross-border collaboration and negotiations taking place within multi-national corporations (MNC's). This research paper examines a series of challenges facing the collective bargaining systems in Denmark, Estonia, Northern Ireland and Sweden. These countries represent four...

  1. BIM and IoT: A Synopsis from GIS Perspective

    Science.gov (United States)

    Isikdag, U.

    2015-10-01

    Internet-of-Things (IoT) focuses on enabling communication between all devices, things that are existent in real life or that are virtual. Building Information Models (BIMs) and Building Information Modelling is a hype that has been the buzzword of the construction industry for last 15 years. BIMs emerged as a result of a push by the software companies, to tackle the problems of inefficient information exchange between different software and to enable true interoperability. In BIM approach most up-to-date an accurate models of a building are stored in shared central databases during the design and the construction of a project and at post-construction stages. GIS based city monitoring / city management applications require the fusion of information acquired from multiple resources, BIMs, City Models and Sensors. This paper focuses on providing a method for facilitating the GIS based fusion of information residing in digital building "Models" and information acquired from the city objects i.e. "Things". Once this information fusion is accomplished, many fields ranging from Emergency Response, Urban Surveillance, Urban Monitoring to Smart Buildings will have potential benefits.

  2. Beginning Swift games development for iOS

    CERN Document Server

    Goodwill, James

    2015-01-01

    Game apps are one of the most popular categories in the Apple iTunes App Store. Well, the introduction of the new Swift programming language will make game development even more appealing and easier to existing and future iOS app developers. In response, James Goodwill, Wesley Matlock and Apress introduce you to this book, Beginning Swift Games Development for iOS. In this book, you'll learn the fundamental elements of the new Swift language as applied to game development for iOS. In part 1, you'll start with a basic 2D game idea and build the game throughout the book introducing each Sprit

  3. RubyMotion iOS develoment essentials

    CERN Document Server

    Nalwaya, Abhishek

    2013-01-01

    This is a step-by-step book that builds on your knowledge by adding to an example app over the course of each chapter. Each topic uses example code that can be compiled and tested to show how things work practically instead of just telling you the theory. Complicated tasks are broken down into easy to follow steps with clear explanations of what each line of code is doing.Whether you are a novice to iOS development or looking for a simpler alternative to Objective-C; with RubyMotion iOS Development Essentials, you will become a pro at writing great iOS apps

  4. Parallel file system analysis through application I/O tracing

    OpenAIRE

    Wright, Steven A.; Hammond, Simon D.; Pennycook, Simon J.; Bird, Robert F.; Herdman, J. A.; Miller, I.; Vadgama, A.; Bhalerao, Abhir; Jarvis, Stephen A.

    2013-01-01

    Input/Output (I/O) operations can represent a significant proportion of the run-time of parallel scientific computing applications. Although there have been several advances in file format libraries, file system design and I/O hardware, a growing divergence exists between the performance of parallel file systems and the compute clusters that they support. In this paper, we document the design and application of the RIOT I/O toolkit (RIOT) being developed at the University of Warwick with our ...

  5. OS X and iOS Kernel Programming

    CERN Document Server

    Halvorsen, Ole Henry

    2011-01-01

    OS X and iOS Kernel Programming combines essential operating system and kernel architecture knowledge with a highly practical approach that will help you write effective kernel-level code. You'll learn fundamental concepts such as memory management and thread synchronization, as well as the I/O Kit framework. You'll also learn how to write your own kernel-level extensions, such as device drivers for USB and Thunderbolt devices, including networking, storage and audio drivers. OS X and iOS Kernel Programming provides an incisive and complete introduction to the XNU kernel, which runs iPhones, i

  6. Extreme Worlds of the Outer Solar System: Dynamic Processes on Uranus & Io

    Science.gov (United States)

    Kleer, Katherine Rebecca de

    system outliers through studies of Uranus' atmosphere and rings and of Io's thermal activity. I show that Uranus' rings are spectrally flat in the near-infrared, setting them apart from all other ring systems in the solar system. I investigate the vertical profile of species in Uranus' atmosphere, and demonstrate evidence for seasonal trends in the upper atmosphere on decadal timescales. Based on a large high-cadence dataset of Io's volcanism obtained with adaptive optics over 100 nights, I show that the thermal timelines of Io's volcanoes indicate at least two distinct classes of eruption. The asymmetric spatial distribution of Io's volcanic heat flow suggests additional mechanisms at work modulating the effects of tidal heating. I present the detection of one of the most powerful eruptions ever seen on Io, which I use to derive a eruption temperature of >1300 K, consistent with a highly mafic magma composition. Geophysical modeling of the thermal timeline of Loki Patera, a distinctive volcanic feature on Io, indicates low lava thermal conductivities also consistent with a highly-mafic silicate composition. Ultra-high-resolution thermal mapping of this patera reveals a multi-phase volcanic resurfacing process that hints at the plumbing system underlying this massive volcanic feature. The results presented here are founded on near-infrared observations of unprecedented resolution in the spatial, spectral, and temporal domains. The interpretation of the data utilizes rigorous statistical techniques to draw meaningful conclusions. In addition to the scientific impact of the findings, this work therefore also pioneers specific ground-based telescope capabilities and analysis tools, and demonstrates their utility to solar system science. Chapter 2 presents the first high-resolution spectra of Uranus' rings. Chapter 3 introduces Markov Chain Monte Carlo simulations into ice giant atmospheric radiative transfer model- ing, permitting a rigorous analysis of parameter

  7. BIM and IoT: A Synopsis from GIS Perspective

    Directory of Open Access Journals (Sweden)

    U. Isikdag

    2015-10-01

    Full Text Available Internet-of-Things (IoT focuses on enabling communication between all devices, things that are existent in real life or that are virtual. Building Information Models (BIMs and Building Information Modelling is a hype that has been the buzzword of the construction industry for last 15 years. BIMs emerged as a result of a push by the software companies, to tackle the problems of inefficient information exchange between different software and to enable true interoperability. In BIM approach most up-to-date an accurate models of a building are stored in shared central databases during the design and the construction of a project and at post-construction stages. GIS based city monitoring / city management applications require the fusion of information acquired from multiple resources, BIMs, City Models and Sensors. This paper focuses on providing a method for facilitating the GIS based fusion of information residing in digital building “Models” and information acquired from the city objects i.e. “Things”. Once this information fusion is accomplished, many fields ranging from Emergency Response, Urban Surveillance, Urban Monitoring to Smart Buildings will have potential benefits.

  8. Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations.

    Science.gov (United States)

    Hu, Eric Y; Bouteiller, Jean-Marie C; Song, Dong; Baudry, Michel; Berger, Theodore W

    2015-01-01

    Chemical synapses are comprised of a wide collection of intricate signaling pathways involving complex dynamics. These mechanisms are often reduced to simple spikes or exponential representations in order to enable computer simulations at higher spatial levels of complexity. However, these representations cannot capture important nonlinear dynamics found in synaptic transmission. Here, we propose an input-output (IO) synapse model capable of generating complex nonlinear dynamics while maintaining low computational complexity. This IO synapse model is an extension of a detailed mechanistic glutamatergic synapse model capable of capturing the input-output relationships of the mechanistic model using the Volterra functional power series. We demonstrate that the IO synapse model is able to successfully track the nonlinear dynamics of the synapse up to the third order with high accuracy. We also evaluate the accuracy of the IO synapse model at different input frequencies and compared its performance with that of kinetic models in compartmental neuron models. Our results demonstrate that the IO synapse model is capable of efficiently replicating complex nonlinear dynamics that were represented in the original mechanistic model and provide a method to replicate complex and diverse synaptic transmission within neuron network simulations.

  9. Modeling complex systems: From the individual to the collective

    Science.gov (United States)

    Malmgren, R. Dean

    Over the past decade, researchers have identified several unifying properties of complex networks across technological, biological, and sociological disciplines. Although it is believed that these ubiquitous structural properties of complex networks may be explained by a unifying model, there is scarcely any evidence for an all-encompassing model which describes the evolution of all complex systems. In this thesis, we take some first steps toward understanding the evolution of complex system by developing models for how individuals behave in response to environmental queues and interactions with other individuals. A distinguishing feature of this research is the systematic use of Monte Carlo hypothesis testing, which enables us to statistically test our models against empirical data and quantify the significance of the agreement. Using this methodology, we develop a model of human communication patterns and identify intruiguing correlations in mentorship networks.

  10. Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

    Directory of Open Access Journals (Sweden)

    Hui-Ling Chang

    2016-09-01

    Full Text Available Message Queuing Telemetry Transport for Sensor Networks (MQTT-SN and Constrained Application Protocol (CoAP are two protocols supporting publish/subscribe models for IoT devices to publish messages to interested subscribers. Retransmission mechanisms are introduced to compensate for the lack of data reliability. If the device does not receive the acknowledgement (ACK before retransmission timeout (RTO expires, the device will retransmit data. Setting an appropriate RTO is important because the delay may be large or retransmission may be too frequent when the RTO is inappropriate. We propose a Gateway-assisted CoAP (GaCoAP to dynamically compute RTO for devices. Simulation models are proposed to investigate the performance of GaCoAP compared with four other methods. The experiment results show that GaCoAP is more suitable for IoT devices.

  11. Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications

    Science.gov (United States)

    Chang, Hui-Ling; Wang, Cheng-Gang; Wu, Mong-Ting; Tsai, Meng-Hsun; Lin, Chia-Ying

    2016-01-01

    Message Queuing Telemetry Transport for Sensor Networks (MQTT-SN) and Constrained Application Protocol (CoAP) are two protocols supporting publish/subscribe models for IoT devices to publish messages to interested subscribers. Retransmission mechanisms are introduced to compensate for the lack of data reliability. If the device does not receive the acknowledgement (ACK) before retransmission timeout (RTO) expires, the device will retransmit data. Setting an appropriate RTO is important because the delay may be large or retransmission may be too frequent when the RTO is inappropriate. We propose a Gateway-assisted CoAP (GaCoAP) to dynamically compute RTO for devices. Simulation models are proposed to investigate the performance of GaCoAP compared with four other methods. The experiment results show that GaCoAP is more suitable for IoT devices. PMID:27669243

  12. Gateway-Assisted Retransmission for Lightweight and Reliable IoT Communications.

    Science.gov (United States)

    Chang, Hui-Ling; Wang, Cheng-Gang; Wu, Mong-Ting; Tsai, Meng-Hsun; Lin, Chia-Ying

    2016-09-22

    Message Queuing Telemetry Transport for Sensor Networks (MQTT-SN) and Constrained Application Protocol (CoAP) are two protocols supporting publish/subscribe models for IoT devices to publish messages to interested subscribers. Retransmission mechanisms are introduced to compensate for the lack of data reliability. If the device does not receive the acknowledgement (ACK) before retransmission timeout (RTO) expires, the device will retransmit data. Setting an appropriate RTO is important because the delay may be large or retransmission may be too frequent when the RTO is inappropriate. We propose a Gateway-assisted CoAP (GaCoAP) to dynamically compute RTO for devices. Simulation models are proposed to investigate the performance of GaCoAP compared with four other methods. The experiment results show that GaCoAP is more suitable for IoT devices.

  13. Enabling Secure XMPP Communications in Federated IoT Clouds Through XEP 0027 and SAML/SASL SSO

    Directory of Open Access Journals (Sweden)

    Antonio Celesti

    2017-02-01

    Full Text Available Nowadays, in the panorama of Internet of Things (IoT, finding a right compromise between interactivity and security is not trivial at all. Currently, most of pervasive communication technologies are designed to work locally. As a consequence, the development of large-scale Internet services and applications is not so easy for IoT Cloud providers. The main issue is that both IoT architectures and services have started as simple but they are becoming more and more complex. Consequently, the web service technology is often inappropriate. Recently, many operators in both academia and industry fields are considering the possibility to adopt the eXtensible Messaging and Presence Protocol (XMPP for the implementation of IoT Cloud communication systems. In fact, XMPP offers many advantages in term of real-time capabilities, efficient data distribution, service discovery and inter-domain communication compared to other technologies. Nevertheless, the protocol lacks of native security, data confidentiality and trustworthy federation features. In this paper, considering an XMPP-based IoT Cloud architectural model, we discuss how can be possible to enforce message signing/encryption and Single-Sign On (SSO authentication respectively for secure inter-module and inter-domain communications in a federated environment. Experiments prove that security mechanisms introduce an acceptable overhead, considering the obvious advantages achieved in terms of data trustiness and privacy.

  14. Enabling Secure XMPP Communications in Federated IoT Clouds Through XEP 0027 and SAML/SASL SSO.

    Science.gov (United States)

    Celesti, Antonio; Fazio, Maria; Villari, Massimo

    2017-02-07

    Nowadays, in the panorama of Internet of Things (IoT), finding a right compromise between interactivity and security is not trivial at all. Currently, most of pervasive communication technologies are designed to work locally. As a consequence, the development of large-scale Internet services and applications is not so easy for IoT Cloud providers. The main issue is that both IoT architectures and services have started as simple but they are becoming more and more complex. Consequently, the web service technology is often inappropriate. Recently, many operators in both academia and industry fields are considering the possibility to adopt the eXtensible Messaging and Presence Protocol (XMPP) for the implementation of IoT Cloud communication systems. In fact, XMPP offers many advantages in term of real-time capabilities, efficient data distribution, service discovery and inter-domain communication compared to other technologies. Nevertheless, the protocol lacks of native security, data confidentiality and trustworthy federation features. In this paper, considering an XMPP-based IoT Cloud architectural model, we discuss how can be possible to enforce message signing/encryption and Single-Sign On (SSO) authentication respectively for secure inter-module and inter-domain communications in a federated environment. Experiments prove that security mechanisms introduce an acceptable overhead, considering the obvious advantages achieved in terms of data trustiness and privacy.

  15. Enabling Secure XMPP Communications in Federated IoT Clouds Through XEP 0027 and SAML/SASL SSO

    Science.gov (United States)

    Celesti, Antonio; Fazio, Maria; Villari, Massimo

    2017-01-01

    Nowadays, in the panorama of Internet of Things (IoT), finding a right compromise between interactivity and security is not trivial at all. Currently, most of pervasive communication technologies are designed to work locally. As a consequence, the development of large-scale Internet services and applications is not so easy for IoT Cloud providers. The main issue is that both IoT architectures and services have started as simple but they are becoming more and more complex. Consequently, the web service technology is often inappropriate. Recently, many operators in both academia and industry fields are considering the possibility to adopt the eXtensible Messaging and Presence Protocol (XMPP) for the implementation of IoT Cloud communication systems. In fact, XMPP offers many advantages in term of real-time capabilities, efficient data distribution, service discovery and inter-domain communication compared to other technologies. Nevertheless, the protocol lacks of native security, data confidentiality and trustworthy federation features. In this paper, considering an XMPP-based IoT Cloud architectural model, we discuss how can be possible to enforce message signing/encryption and Single-Sign On (SSO) authentication respectively for secure inter-module and inter-domain communications in a federated environment. Experiments prove that security mechanisms introduce an acceptable overhead, considering the obvious advantages achieved in terms of data trustiness and privacy. PMID:28178214

  16. Endogenous Crisis Waves: Stochastic Model with Synchronized Collective Behavior

    Science.gov (United States)

    Gualdi, Stanislao; Bouchaud, Jean-Philippe; Cencetti, Giulia; Tarzia, Marco; Zamponi, Francesco

    2015-02-01

    We propose a simple framework to understand commonly observed crisis waves in macroeconomic agent-based models, which is also relevant to a variety of other physical or biological situations where synchronization occurs. We compute exactly the phase diagram of the model and the location of the synchronization transition in parameter space. Many modifications and extensions can be studied, confirming that the synchronization transition is extremely robust against various sources of noise or imperfections.

  17. The Haskell Programmer's Guide to the IO Monad -- Don't Panic

    NARCIS (Netherlands)

    Klinger, S.

    Now, that you have started with Haskell, have you written a program doing IO yet, like reading a file or writing on the terminal? Then you have used the IO monad—but do you understand how it works? The standard explanation is, that the IO monad hides the non-functional IO actions —which do have side

  18. The Haskell Programmer's Guide to the IO Monad : Don't Panic

    NARCIS (Netherlands)

    Klinger, S.

    2005-01-01

    Now, that you have started with Haskell, have you written a program doing IO yet, like reading a file or writing on the terminal? Then you have used the IO monad—but do you understand how it works? The standard explanation is, that the IO monad hides the non-functional IO actions —which do have side

  19. IAACaaS: IoT Application-Scoped Access Control as a Service

    OpenAIRE

    Álvaro Alonso; Federico Fernández; Lourdes Marco; Joaquín Salvachúa

    2017-01-01

    access control is a key element when guaranteeing the security of online services. However, devices that make the Internet of Things have some special requirements that foster new approaches to access control mechanisms. Their low computing capabilities impose limitations that make traditional paradigms not directly applicable to sensors and actuators. In this paper, we propose a dynamic, scalable, IoT-ready model that is based on the OAuth 2.0 protocol and that allows the complete delegation...

  20. Volcanogenic Sulfur on Earth and Io: Composition and Spectroscopy

    Science.gov (United States)

    Kargel, J.S.; Delmelle, P.; Nash, D.B.

    1999-01-01

    The causes of Io's variegated surface, especially the roles of sulfur, and the geochemical history of sulfur compounds on Io are not well understood. Suspecting that minor impurities in sulfur might be important, we have investigated the major and trace element chemistry and spectroscopic reflectance of natural sulfur from a variety of terrestrial volcanic-hydrothermal environments. Evidence suggests that Io may be substantially coated with impure sulfur. On Earth, a few tenths of a percent to a few percent of chalcophile trace elements (e.g., As and Se) comonly occur in sulfur and appear to stabilize material of yellow, brown, orange, and red hues, which may persist even at low temperatures. Percentage levels of chalcophile impurities are reasonably expected to occur on Io in vapor sublimate deposits and flows derived from such deposits. Such impurities join a host of other mechanisms that might explain Io's reds and yellows. Two-tenths to two percent opaque crystalline impurities, particularly pyrite (FeS2), commonly produces green, gray, and black volcanic sulfur on Earth and might explain areas of Io having deposits of these colors. Pyrite produces a broad absorption near 1 ??m that gradually diminishes out to 1.6 ??m - similar but not identical to the spectrum of Io seen in Galileo NIMS data. Percentage amounts of carbonaceous impurities and tens of percent SiO2 (as silicates) also strongly affect the spectral properties of Earth's sulfur. Io's broad absorption between 0.52 and 0.64 ??m remains unexplained by these data but could be due to sodium sulfides, as suggested previously by others, or to As, Se, or other impurities. These impurities and others, such as P and Cl (which could exist on Io's surface in amounts over 1% that of sulfur), greatly alter the molecular structure of molten and solid sulfur. Minor impurities could impact Io's geology, such as the morphology of sulfur lava flows and the ability of sulfur to sustain high relief. We have not found

  1. PHOTOMETRY OF IO AND EUROPA DURING SL9 IMPACT FLASHES

    Data.gov (United States)

    National Aeronautics and Space Administration — This data set contains digitized photometry of the reflections off Io and Europa of the impact fireballs produced as the D, E, K, and N fragments of comet...

  2. Using IoT Device Technology in Spacecraft Checkout Systems

    Science.gov (United States)

    Plummer, Chris

    2015-09-01

    The Internet of Things (IoT) has become a common theme in both the technical and popular press in recent years because many of the enabling technologies that are required to make IoT a reality have now matured. Those technologies are revolutionising the way industrial systems and products are developed because they offer significant advantages over older technologies. This paper looks at how IoT device technology can be used in spacecraft checkout systems to achieve smaller, more capable, and more scalable solutions than are currently available. It covers the use of IoT device technology for classical spacecraft test systems as well as for hardware-in-the-loop simulation systems used to support spacecraft checkout.

  3. IoT Service Clustering for Dynamic Service Matchmaking

    National Research Council Canada - National Science Library

    Shuai Zhao; Le Yu; Bo Cheng; Junliang Chen

    2017-01-01

    As the adoption of service-oriented paradigms in the IoT (Internet of Things) environment, real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact with them...

  4. Open IoT Ecosystem for Sporting Event Management

    National Research Council Canada - National Science Library

    Kubler, Sylvain; Robert, Jeremy; Hefnawy, Ahmed; Framling, Kary; Cherifi, Chantal; Bouras, Abdelaziz

    2017-01-01

    ...s (network operators, managed service providers, logistic centers, and so on), who must work together to provide the best services and unlock the commercial potential of the so-called Internet of Things (IoT...

  5. iOS 7 programming pushing the limits

    CERN Document Server

    Napier, Rob

    2014-01-01

    Get ready to create killer apps for iPad and iPhone on the new iOS 7! With Apple's introduction of iOS 7, demand for developers who know the new iOS will be high. You need in-depth information about the new characteristics and capabilities of iOS 7, and that's what you'll find in this book. If you have experience with C or C++, this guide will show you how to create amazing apps for iPhone, iPad, and iPod touch. You'll also learn to maximize your programs for mobile devices using iPhone SDK 7.0. Advanced topics such as security services, running on multiple iPlatforms, and local networking w

  6. Sulfur dioxide on Io - Spatial distribution and physical state

    Science.gov (United States)

    Fanale, F. P.; Howell, R. R.; Cruikshank, D. P.

    1984-01-01

    Observations of the 4-micron SO2 band on Jupiter's satellite Io and laboratory measurements of SO2 frost are presented. The observations confirm the existence of a large longitudinal variation in band strength, but show no evidence of temporal changes. Comparison of the band position and shape in Io's spectrum with those in the laboratory frost's suggests that the bulk of the absorption on Io is due to frost, not adsorbed gas. The derived SO2 coverage is large enough to require that SO2 be present in most terrain types on Io and not just in the white plains unit. To reconcile the infrared observations that indicate large amoutns of SO2 with the ultraviolet observations of Voyager and IUE that show little, the SO2 must be mixed intimately with the sulfur (or other material) so that at each wavelength the darker component dominates the spectrum.

  7. IoT Service Clustering for Dynamic Service Matchmaking

    National Research Council Canada - National Science Library

    Shuai Zhao; Le Yu; Bo Cheng; Junliang Chen

    2017-01-01

    As the adoption of service-oriented paradigms in the IoT (Internet of Things) environment, real-world devices will open their capabilities through service interfaces, which enable other functional entities to interact...

  8. Application of Majoritarian Element to Improve IoT Communication

    Directory of Open Access Journals (Sweden)

    Tornike Dvali

    2016-06-01

    Full Text Available The work introduces the circle of the basic ideas and methods of error-free recovery of the binary signal to the multichannel digital technology based on the model of formal (artificial neuron and aims to contribute to the further development of this theo-ry of reliability. The work is useful for reservation or for exchange of a highly valuable information. During communication be-tween machines, connection related problems could occur and this work will be of a great help for machines to choose right channel for connection. Work also is a successful attempt of figuring out binary signal error recovery probability of minimum highest value. Moreover, binary channels optimization problems addressed by using threshold model and exploring three differ-ent approaches. In the future, this work will be used in Internet of Things (IoT for the exact communication between machines. Work will be used with threshold model for minimizing errors in the communication between things.

  9. Observations of IO hot-spots at coastal sites with the combination of a mobile CE- and LP- DOAS

    Science.gov (United States)

    Pöhler, D.; Horbanski, M.; Schmitt, S.; Anthofer, M.; Tschritter, J.; Platt, U.

    2012-04-01

    Reactive iodine species are emitted by seaweed in the intertidal zone of coastal sites during low tide. Beside their oxidation to iodine oxide (IO) and reduction of ozone, they act as precursors for particle formation and therefore have a potential impact on climate. A correlation between iodine oxide and particle formation could be observed in several field studies. However, modelling studies suggest that the so far observed mixing ratios of iodine oxide are too low to explain the observed particle formation. This may be caused by the so far applied measurement techniques which either average over a long measurement path of several km (LP-DOAS) or by immobile in-situ techniques (LIF or BB-CEAS) located typically few 10-100m of the intertidal area. Thus both techniques could not observe local "hot-spots", locations with locally elevated IO levels above the background with small spatial extend (e.g. above a source). We present a new developed Cavity Enhanced Differential Optical Absorption Spectroscopy (CE- DOAS) instrument for the direct identification of IO down to 1ppt. This technique gives the possibility to achieve long absorption light paths in a compact setup (research station Mace Head during MaCloud field campaign) to investigate the IO levels emitted by macro algae. During low tide the CE-DOAS instrument was regularly set-up directly in the intertidal area above the macro algae. Results of different coastal sites will be presented in detail. Elevated IO concentrations up to several 10ppt could be observed with the CE-DOAS instrument regularly, but LP-DOAS concentrations are typically more than an order of magnitude lower. The data will be discussed according to the IO "hot-spot" theory. Even at unfavorable meteorological conditions (clouds, strong wind) the CE-DOAS instrument could regularly observe enhanced IO levels. Different coastal sites show different IO emission strength and spatial distribution. The spatial distribution of IO at different coastal

  10. Integrating Facebook iOS SDK with your application

    CERN Document Server

    Macrì, Giuseppe

    2013-01-01

    A tutorial-based guide with chapters focusing on learning and embedding crucial Facebook features.If you are a developer who wishes to develop and monetize your apps on the App store, then this is the book for you. This book assumes you have basic knowledge of iOS programming using Objective-C and XCode, however, prior knowledge of Facebook iOS SDK is not required.

  11. Energy Consumption of Wireless IoT Nodes

    OpenAIRE

    Hussain, Amen

    2017-01-01

    The Internet of Things (IoT) is an emerging technology, encompassing a wide spectrum of applications related to industrial control, smart metering, home automation, agriculture, eHealth and so on. For these applications to run autonomously, the IoT devices are required to survive for months and years under strict energy constraints. When developing such applications, it is important for the application to know about its own energy consumption. In this work, we propose and evaluate an ener...

  12. Current parallel I/O limitations to scalable data analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Mascarenhas, Ajith Arthur; Pebay, Philippe Pierre

    2011-07-01

    This report describes the limitations to parallel scalability which we have encountered when applying our otherwise optimally scalable parallel statistical analysis tool kit to large data sets distributed across the parallel file system of the current premier DOE computational facility. This report describes our study to evaluate the effect of parallel I/O on the overall scalability of a parallel data analysis pipeline using our scalable parallel statistics tool kit [PTBM11]. In this goal, we tested it using the Jaguar-pf DOE/ORNL peta-scale platform on a large combustion simulation data under a variety of process counts and domain decompositions scenarios. In this report we have recalled the foundations of the parallel statistical analysis tool kit which we have designed and implemented, with the specific double intent of reproducing typical data analysis workflows, and achieving optimal design for scalable parallel implementations. We have briefly reviewed those earlier results and publications which allow us to conclude that we have achieved both goals. However, in this report we have further established that, when used in conjuction with a state-of-the-art parallel I/O system, as can be found on the premier DOE peta-scale platform, the scaling properties of the overall analysis pipeline comprising parallel data access routines degrade rapidly. This finding is problematic and must be addressed if peta-scale data analysis is to be made scalable, or even possible. In order to attempt to address these parallel I/O limitations, we will investigate the use the Adaptable IO System (ADIOS) [LZL+10] to improve I/O performance, while maintaining flexibility for a variety of IO options, such MPI IO, POSIX IO. This system is developed at ORNL and other collaborating institutions, and is being tested extensively on Jaguar-pf. Simulation code being developed on these systems will also use ADIOS to output the data thereby making it easier for other systems, such as ours, to

  13. Practical comparison of distributed ledger technologies for IoT

    Science.gov (United States)

    Red, Val A.

    2017-05-01

    Existing distributed ledger implementations - specifically, several blockchain implementations - embody a cacophony of divergent capabilities augmenting innovations of cryptographic hashes, consensus mechanisms, and asymmetric cryptography in a wide variety of applications. Whether specifically designed for cryptocurrency or otherwise, several distributed ledgers rely upon modular mechanisms such as consensus or smart contracts. These components, however, can vary substantially among implementations; differences involving proof-of-work, practical byzantine fault tolerance, and other consensus approaches exemplify distinct distributed ledger variations. Such divergence results in unique combinations of modules, performance, latency, and fault tolerance. As implementations continue to develop rapidly due to the emerging nature of blockchain technologies, this paper encapsulates a snapshot of sensor and internet of things (IoT) specific implementations of blockchain as of the end of 2016. Several technical risks and divergent approaches preclude standardization of a blockchain for sensors and IoT in the foreseeable future; such issues will be assessed alongside the practicality of IoT applications among Hyperledger, Iota, and Ethereum distributed ledger implementations suggested for IoT. This paper contributes a comparison of existing distributed ledger implementations intended for practical sensor and IoT utilization. A baseline for characterizing distributed ledger implementations in the context of IoT and sensors is proposed. Technical approaches and performance are compared considering IoT size, weight, and power limitations. Consensus and smart contracts, if applied, are also analyzed for the respective implementations' practicality and security. Overall, the maturity of distributed ledgers with respect to sensor and IoT applicability will be analyzed for enterprise interoperability.

  14. Approximate Sensory Data Collection: A Survey.

    Science.gov (United States)

    Cheng, Siyao; Cai, Zhipeng; Li, Jianzhong

    2017-03-10

    With the rapid development of the Internet of Things (IoTs), wireless sensor networks (WSNs) and related techniques, the amount of sensory data manifests an explosive growth. In some applications of IoTs and WSNs, the size of sensory data has already exceeded several petabytes annually, which brings too many troubles and challenges for the data collection, which is a primary operation in IoTs and WSNs. Since the exact data collection is not affordable for many WSN and IoT systems due to the limitations on bandwidth and energy, many approximate data collection algorithms have been proposed in the last decade. This survey reviews the state of the art of approximatedatacollectionalgorithms. Weclassifythemintothreecategories: themodel-basedones, the compressive sensing based ones, and the query-driven ones. For each category of algorithms, the advantages and disadvantages are elaborated, some challenges and unsolved problems are pointed out, and the research prospects are forecasted.

  15. Acting in solidarity : Testing an extended dual pathway model of collective action by bystander group members

    NARCIS (Netherlands)

    Saab, Rim; Tausch, Nicole; Spears, Russell; Cheung, Wing-Yee

    We examined predictors of collective action among bystander group members in solidarity with a disadvantaged group by extending the dual pathway model of collective action, which proposes one efficacy-based and one emotion-based path to collective action (Van Zomeren, Spears, Fischer, & Leach,

  16. Protesters as "passionate economists" : A dynamic dual pathway model of approach coping with collective disadvantage

    NARCIS (Netherlands)

    van Zomeren, Martijn; Leach, Colin Wayne; Spears, Russell

    To explain the psychology behind individuals' motivation to participate in collective action against collective disadvantage (e.g., protest marches), the authors introduce a dynamic dual pathway model of approach coping that integrates many common explanations of collective action (i.e., group

  17. TRIO: Burst Buffer Based I/O Orchestration

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Teng [Auburn University; Oral, H Sarp [ORNL; Pritchard, Michael [Auburn University; Wang, Bin [Auburn University; Yu, Weikuan [Auburn University

    2015-01-01

    The growing computing power on leadership HPC systems is often accompanied by ever-escalating failure rates. Checkpointing is a common defensive mechanism used by scientific applications for failure recovery. However, directly writing the large and bursty checkpointing dataset to parallel filesystem can incur significant I/O contention on storage servers. Such contention in turn degrades the raw bandwidth utilization of storage servers and prolongs the average job I/O time of concurrent applications. Recently burst buffer has been proposed as an intermediate layer to absorb the bursty I/O traffic from compute nodes to storage backend. But an I/O orchestration mechanism is still desired to efficiently move checkpointing data from bursty buffers to storage backend. In this paper, we propose a burst buffer based I/O orchestration framework, named TRIO, to intercept and reshape the bursty writes for better sequential write traffic to storage severs. Meanwhile, TRIO coordinates the flushing orders among concurrent burst buffers to alleviate the contention on storage server bandwidth. Our experimental results reveal that TRIO can deliver 30.5% higher bandwidth and reduce the average job I/O time by 37% on average for data-intensive applications in various checkpointing scenarios.

  18. Studies of Plasma Flow Past Jupiters Satellite Io

    Science.gov (United States)

    Linker, Jon A.

    1997-01-01

    We have investigated the interaction of Io, Jupiter's innermost Galilean satellite, with the Io plasma torus, and the interaction of Ganymede with the corotating Jovian plasma. With the successful insertion of the Galileo spacecraft into orbit around Jupiter, many new observations have been made of the Jovian magnetosphere. Some of the most exciting results thus far have been in regards to Jupiter's satellites, Io and Ganymede. In both cases the large perturbations to the background (Jovian) magnetic field have been consistent with the satellites' possession of an intrinsic magnetic field. The gravity measurements implying a differentiated core at both Io and Ganymede makes internal generation of a magnetic field by dynamo action in these satellites plausible, and, in the case of Ganymede, the identification of an intrinsic field is apparently unambiguous. For Io the situation is less clear, and further analysis is necessary to answer this important question. During the past year, we have used time-dependent three-dimensional magnetohydrodynamic (MHD) simulations to study these plasma-moon interactions. The results from these simulations have been used directly in the analysis of the Galileo magnetometer data. Our primary emphasis has been on the Io interaction, but we recently presented results on the Ganymede interaction as well. In this progress summary we describe our efforts on these problems to date.

  19. An Application-Driven Modular IoT Architecture

    Directory of Open Access Journals (Sweden)

    Kumar Yelamarthi

    2017-01-01

    Full Text Available Building upon the advancements in the recent years, a new paradigm in technology has emerged in Internet of Things (IoT. IoT has allowed for communication with the surrounding environment through a multitude of sensors and actuators, yet operating on limited energy. Several researchers have presented IoT architectures for respective applications, often challenged by requiring major updates for adoption to a different application. Further, this comes with several uncertainties such as type of computational device required at the edge, mode of wireless connectivity required, methods to obtain power efficiency, and not ensuring rapid deployment. This paper starts with providing a horizontal overview of each layer in IoT architecture and options for different applications. Then it presents a broad application-driven modular architecture, which can be easily customized for rapid deployment. This paper presents the diverse hardware used in several IoT layers such as sensors, embedded processors, wireless transceivers, internet gateway, and application management cloud server. Later, this paper presents implementation results for diverse applications including healthcare, structural health monitoring, agriculture, and indoor tour guide systems. It is hoped that this research will assist the potential user to easily choose IoT hardware and software as it pertains to their respective needs.

  20. Pianola: A script-based I/O benchmark

    Energy Technology Data Exchange (ETDEWEB)

    May, J

    2008-09-18

    Script-based I/O benchmarks record the I/O behavior of applications by using an instrumentation library to trace I/O events and their timing. A replay engine can then reproduce these events from the script in the absence of the original application. This type of benchmark reproduces real-world I/O workloads without the need to distribute, build, or run complex applications. However, faithfully recreating the I/O behavior of the original application requires careful design in both the instrumentation library and the replay engine. This paper presents the Pianola script-based benchmarking system, which includes an accurate and unobtrusive instrumentation system and a simple-to-use replay engine, along with some additional utility programs to manage the creation and replay of scripts. We show that for some sample applications, Pianola reproduces the qualitative features of the I/O behavior. Moreover, the overall replay time and the cumulative read and write times are usually within 10% of the values measured for the original applications.

  1. How best to collect demographic data for PVA models

    Czech Academy of Sciences Publication Activity Database

    Münzbergová, Zuzana; Ehrlén, J.

    2005-01-01

    Roč. 42, - (2005), s. 1115-1120 ISSN 0021-8901 R&D Projects: GA ČR GA206/02/0590; GA AV ČR KSK6005114 Institutional research plan: CEZ:AV0Z60050516 Keywords : PVA * demography * model Subject RIV: EF - Botanics Impact factor: 4.594, year: 2005

  2. Study on the IoT application network performance optimization based on Mobile Internet

    Directory of Open Access Journals (Sweden)

    ZHAO Jiarong

    2015-02-01

    Full Text Available The Internet of Things is an important part of the new generation of information technology,following the development of computer and the Internet.The core of the development of IoT is application innovation,while innovation focusing on user experience is the most important.In this paper we research two applications including ″Mega Eyes network video monitoring system″ and ″Internet of Vehicles″ based on CDMA mobile network.In order to improve user experience,we analyze network performance of the applications and establish a multidimensional system model.We enhance the reliability,timeliness and safety of network access phase and transmission phase of IoT applications.

  3. Analysing I/O bottlenecks in LHC data analysis on grid storage resources

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    We describe recent I/O testing frameworks that we have developed and applied within the UK GridPP Collaboration, the ATLAS experiment and the DPM team, for a variety of distinct purposes. These include benchmarking vendor supplied storage products, discovering scaling limits of SRM solutions, tuning of storage systems for experiment data analysis, evaluating file access protocols, and exploring IO read patterns of experiment software and their underlying event data models. With multiple grid sites now dealing with petabytes of data, such studies are becoming increasingly essential. We describe how the tests build, and improve, on previous work and contrast how the use-cases differ. We also detail the results obtained and the implications for storage hardware, middleware and experiment software.

  4. Differential barometric-based positioning technique for indoor elevation measurement in IoT medical applications.

    Science.gov (United States)

    Wang, Hua; Wen, Yingyou; Zhao, Dazhe

    2017-07-20

    Medical applications have begun to benefit from Internet of Things (IoT) technology through the introduction of wearable devices. Several medical applications require accurate patient location as various changes affect pressure parameters inside the body. This study aims to develop a system to measure indoor altitude for IoT medical applications. We propose a differential barometric-based positioning system to estimate the altitude between a reference sensor and a localizing sensor connected to the human body. The differential barometric altimetry model is introduced to estimate indoor elevations and eliminate environmental artifacts. In addition, a Gaussian filter processing is adopted to remove noise from the elevation measurements. The proposed system is then investigated through extensive experiments, using various evaluation criteria. The results indicate that the proposed system yielded good accuracy with reduced implementation complexity and fewer costs. The proposed system is resilient compared to other indoor localization approaches, even when numerous environmental artifacts in indoor environments are present.

  5. High-Throughput and Low-Latency Network Communication with NetIO

    Science.gov (United States)

    Schumacher, Jörn; Plessl, Christian; Vandelli, Wainer

    2017-10-01

    HPC network technologies like Infiniband, TrueScale or OmniPath provide low- latency and high-throughput communication between hosts, which makes them attractive options for data-acquisition systems in large-scale high-energy physics experiments. Like HPC networks, DAQ networks are local and include a well specified number of systems. Unfortunately traditional network communication APIs for HPC clusters like MPI or PGAS exclusively target the HPC community and are not suited well for DAQ applications. It is possible to build distributed DAQ applications using low-level system APIs like Infiniband Verbs, but it requires a non-negligible effort and expert knowledge. At the same time, message services like ZeroMQ have gained popularity in the HEP community. They make it possible to build distributed applications with a high-level approach and provide good performance. Unfortunately, their usage usually limits developers to TCP/IP- based networks. While it is possible to operate a TCP/IP stack on top of Infiniband and OmniPath, this approach may not be very efficient compared to a direct use of native APIs. NetIO is a simple, novel asynchronous message service that can operate on Ethernet, Infiniband and similar network fabrics. In this paper the design and implementation of NetIO is presented and described, and its use is evaluated in comparison to other approaches. NetIO supports different high-level programming models and typical workloads of HEP applications. The ATLAS FELIX project [1] successfully uses NetIO as its central communication platform. The architecture of NetIO is described in this paper, including the user-level API and the internal data-flow design. The paper includes a performance evaluation of NetIO including throughput and latency measurements. The performance is compared against the state-of-the- art ZeroMQ message service. Performance measurements are performed in a lab environment with Ethernet and FDR Infiniband networks.

  6. Lineations and structural mapping of Io's paterae and mountains: Implications for internal stresses

    Science.gov (United States)

    Ahern, Alexandra A.; Radebaugh, Jani; Christiansen, Eric H.; Harris, Ronald A.; Tass, E. Shannon

    2017-11-01

    The mountains of Jupiter's volcanic moon Io are tall, steep, and tectonic in origin, yet their precise modes of formation and their associations with volcanic paterae are not fully understood. Global spatial statistics of paterae and mountains and their associated lineations reveal that both types of features are more common at low latitudes and tectonic lineations have preferred orientations, whereas straight patera margins are randomly oriented. Additionally, structurally controlled lineations tend to cluster with each other, and in areas of high concentrations these tectonic lineations are shorter in length than their global average. These results indicate that global-scale (rather than local or regional) processes are involved in forming Io's tectonic structures, but that the diversity of mountain characteristics and the collapse of paterae adjacent to mountain complexes are more locally controlled. Regional structural mapping of the Hi'iaka, Shamshu, Tohil, and Zal regions reveals Io's mountains reside in large, fault-bounded crustal blocks that have undergone modification through local responses of subsurface structures to variable stresses. Strike-slip motion along reactivated faults led to the formation of transpressional and transtensional features, creating tall peaks and low basins, some of which are now occupied by paterae. We propose Io's mountains result from a combination of crustal stresses involving global and local-scale processes, dominantly volcanic loading and tidal flexing. These stresses sometimes are oriented at oblique angles to pre-existing faults, reactivating them as reverse, normal, or strike-slip faults, modifying the large, cohesive crustal blocks that many of Io's mountains reside in. Further degradation of mountains and burial of faults has occurred from extensive volcanism, mass wasting, gravitational collapse, and erosion by sublimation and sapping of sulfur-rich layers. This model of fault-bounded blocks being modified by global

  7. Model for the centralized acquisition of collections in times of crisis

    OpenAIRE

    Lloret Romero, María Nuria

    2012-01-01

    The paper discusses how the inclusion of digital collections has led to a new licensing model that has changed the financial management and administration of budgets for the purchase of collections, starting with the acquisition of scientific journals for specialized centers and extending to all types of resource materials. Lloret Romero, MN. (2012). Model for the centralized acquisition of collections in times of crisis. Bottom Line. 25(4):59-63. doi:10.1108/08880451211292603. Senia ...

  8. FIRE - Flyby of Io with Repeat Encounters: A conceptual design for a New Frontiers mission to Io

    Science.gov (United States)

    Suer, Terry-Ann; Padovan, Sebastiano; Whitten, Jennifer L.; Potter, Ross W. K.; Shkolyar, Svetlana; Cable, Morgan; Walker, Catherine; Szalay, Jamey; Parker, Charles; Cumbers, John; Gentry, Diana; Harrison, Tanya; Naidu, Shantanu; Trammell, Harold J.; Reimuller, Jason; Budney, Charles J.; Lowes, Leslie L.

    2017-09-01

    A conceptual design is presented for a low complexity, heritage-based flyby mission to Io, Jupiter's innermost Galilean satellite and the most volcanically active body in the Solar System. The design addresses the 2011 Decadal Survey's recommendation for a New Frontiers class mission to Io and is based upon the result of the June 2012 NASA-JPL Planetary Science Summer School. A science payload is proposed to investigate the link between the structure of Io's interior, its volcanic activity, its surface composition, and its tectonics. A study of Io's atmospheric processes and Io's role in the Jovian magnetosphere is also planned. The instrument suite includes a visible/near-IR imager, a magnetic field and plasma suite, a dust analyzer, and a gimbaled high gain antenna to perform radio science. Payload activity and spacecraft operations would be powered by three Advanced Stirling Radioisotope Generators (ASRG). The primary mission includes 10 flybys with close-encounter altitudes as low as 100 km. The mission risks are mitigated by ensuring that relevant components are radiation tolerant and by using redundancy and flight-proven parts in the design. The spacecraft would be launched on an Atlas V rocket with a delta-v of 1.3 km/s. Three gravity assists (Venus, Earth, Earth) would be used to reach the Jupiter system in a 6-year cruise. The resulting concept demonstrates the rich scientific return of a flyby mission to Io.

  9. A New Model for the Collective Behavior of Animals

    CERN Document Server

    Nguyen, P The; Diep, H T

    2015-01-01

    We propose a new model in order to study behaviors of self-organized system such as a group of animals. We assume that the individuals have two degrees of freedom corresponding one to their internal state and the other to their external state. The external state is characterized by its moving orientation. The rule of the interaction between the individuals is determined by the internal state which can be either in the non-excited state or in the excited state. The system is put under a source of external perturbation called "noise". To study the behavior of the model with varying noise, we use the Monte-Carlo simulation technique. The result clearly shows two first-order transitions separating the system into three phases: with increasing noise, the system undergoes a phase transition from a frozen dilute phase to an ordered compact phase and then to the disordered dispersed phase. These phases correspond to behaviors of animals: uncollected state at low noise, flocking at medium noise and runaway at high noi...

  10. Design, implementation, and evaluation of an Internet of Things (IoT) network system for restaurant food waste management.

    Science.gov (United States)

    Wen, Zongguo; Hu, Shuhan; De Clercq, Djavan; Beck, M Bruce; Zhang, Hua; Zhang, Huanan; Fei, Fan; Liu, Jianguo

    2018-03-01

    Catering companies around the world generate tremendous amounts of waste; those in China are no exception. The paper discusses the design, implementation, and evaluation of a sensor-based Internet of Things (IoT) network technology for improving the management of restaurant food waste (RFW) in the city of Suzhou, China. This IoT-based system encompasses the generation, collection, transportation and final disposal of RFW. The Suzhou case study comprised four steps: (1) examination of the required functionality of an IoT-enabled system in the specific context of Suzhou; (2) configuration of the system architecture, both software and hardware components, according to the identified functionality; (3) installation of the components of the IoT system at the facilities of the stakeholders across the RFW generation-collection-transportation-disposal value chain; and (4) evaluation of the performance of the entire system, based on data from three years of operation. The results show that the system had a strong impact. Positive results include: (1) better management of RFW generation, as evidenced by a 20.5% increase in RFW collected via official channels and a 207% increase in the number of RFW generators under official contract; (2) better law enforcement in response to RFW malpractice, enabled by the monitoring capabilities of the IoT system; and (3) an overall reduction in illicit RFW activities and better process optimization across the RFW value chain. Negative results include: (1) Radio-frequency identification (RFID) tags need to be renewed often due to the frequent handling of waste bins, thus increasing operating costs; (2) dynamic/automatic weight sensors had a higher degree of error than the more time-consuming static/manual weighing method; and (3) there were disagreements between the city's government agencies about how to interpret data from the IoT system, which led to some inefficiencies in management. In sum, the Suzhou IoT system enabled data

  11. Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

    CERN Document Server

    Carlson, Jean M; Stromberg, Sean P; Bassett, Danielle S; Craparo, Emily M; Gutierrez-Villarreal, Francisco; Otani, Thomas

    2013-01-01

    Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human factors including congestion, overload, miscommunication, and delays. Here we report results of a behavioral network science experiment, targeting decision making in a natural disaster. In each scenario, individuals are faced with a forced "go" versus "no go" evacuation decision, based on information available on competing broadcast and peer-to-peer sources. In this controlled setting, all actions and observations are recorded prior to the decision, enabling development of a quantitative decision making model that accounts for the disaster likelihood, severity, and temporal urgency, as well as competition between networked individuals for limited emergency resources. Individual differences in behavior within this social setting are correlated with individual differences in inh...

  12. Development of a new measure for assessing insight: Psychometric properties of the insight orientation scale (IOS).

    Science.gov (United States)

    Gori, Alessio; Craparo, Giuseppe; Giannini, Marco; Loscalzo, Yura; Caretti, Vincenzo; La Barbera, Daniele; Manzoni, Gian Mauro; Castelnuovo, Gianluca; Tani, Franca; Ponti, Lucia; Dewey, Daniel; Schuldberg, David

    2015-12-01

    Given the centrality of insight in promoting change, the relevance of measures for assessing this construct has become increasingly clear. This paper describes a new self-report measure for assessing some of the characteristics of insight, the insight orientation scale (IOS). In study 1, we evaluated the factor structure and the reliability of the scale. In study 2, we analyzed the concurrent and discriminant validity of the scale in patients with different clinical diagnoses. In study 1 participants were 600 individuals (41.1% male, 58.9% female) with a mean age of 33.95 years (SD = 13.04). In study 2 participants were 136 individuals divided into the following groups: 1) schizophrenia spectrum and other psychotic disorders (n = 26); 2) substance-related disorders (n = 55); 3) depressive disorders (n = 27); and 4) personality disorders (n = 28). Instruments are the insight orientation scale (IOS) and the Beck cognitive insight scale. The goodness-of-fit indices showed a satisfactory fit of a one factor model. We found also a good internal consistency (α = .77). These findings support the dimensionality of the IOS and suggest that it may be useful as an assessment tool for use in guiding psychotherapy. Copyright © 2015 Elsevier B.V. All rights reserved.

  13. Minimizing I/O Costs of Multi-Dimensional Queries with BitmapIndices

    Energy Technology Data Exchange (ETDEWEB)

    Rotem, Doron; Stockinger, Kurt; Wu, Kesheng

    2006-03-30

    Bitmap indices have been widely used in scientific applications and commercial systems for processing complex,multi-dimensional queries where traditional tree-based indices would not work efficiently. A common approach for reducing the size of a bitmap index for high cardinality attributes is to group ranges of values of an attribute into bins and then build a bitmap for each bin rather than a bitmap for each value of the attribute. Binning reduces storage costs,however, results of queries based on bins often require additional filtering for discarding it false positives, i.e., records in the result that do not satisfy the query constraints. This additional filtering,also known as ''candidate checking,'' requires access to the base data on disk and involves significant I/O costs. This paper studies strategies for minimizing the I/O costs for ''candidate checking'' for multi-dimensional queries. This is done by determining the number of bins allocated for each dimension and then placing bin boundaries in optimal locations. Our algorithms use knowledge of data distribution and query workload. We derive several analytical results concerning optimal bin allocation for a probabilistic query model. Our experimental evaluation with real life data shows an average I/O cost improvement of at least a factor of 10 for multi-dimensional queries on datasets from two different applications. Our experiments also indicate that the speedup increases with the number of query dimensions.

  14. Analysis of impulse oscillometric measures of lung function and respiratory system model parameters in small airway-impaired and healthy children over a 2-year period

    Directory of Open Access Journals (Sweden)

    Nava Pat

    2011-03-01

    Full Text Available Abstract Background Is Impulse Oscillometry System (IOS a valuable tool to measure respiratory system function in Children? Asthma (A is the most prevalent chronic respiratory disease in children. Therefore, early and accurate assessment of respiratory function is of tremendous clinical interest in diagnosis, monitoring and treatment of respiratory conditions in this subpopulation. IOS has been successfully used to measure lung function in children with a high degree of sensitivity and specificity to small airway impairments (SAI and asthma. IOS measures of airway function and equivalent electrical circuit models of the human respiratory system have been developed to quantify the severity of these conditions. Previously, we have evaluated several known respiratory models based on the Mead's model and more parsimonious versions based on fitting IOS data known as extended RIC (eRIC and augmented RIC (aRIC models have emerged, which offer advantages over earlier models. Methods IOS data from twenty-six children were collected and compared during pre-bronchodilation (pre-B and post- bronchodilation (post-B conditions over a period of 2 years. Results and Discussion Are the IOS and model parameters capable of differentiating between healthy children and children with respiratory system distress? Children were classified into two main categories: Healthy (H and Small Airway-Impaired (SAI. The IOS measures and respiratory model parameters analyzed differed consistently between H and SAI children. SAI children showed smaller trend of "growth" and larger trend of bronchodilator responses than H children. The two model parameters: peripheral compliance (Cp and peripheral resistance (Rp tracked IOS indices of small airway function well. Cp was a more sensitive index than Rp. Both eRIC and aRIC Cps and the IOS Reactance Area, AX, (also known as the "Goldman Triangle" showed good correlations. Conclusions What are the most useful IOS and model parameters? In

  15. Network Function Virtualization (NFV) based architecture to address connectivity, interoperability and manageability challenges in Internet of Things (IoT)

    Science.gov (United States)

    Haseeb, Shariq; Hashim, Aisha Hassan A.; Khalifa, Othman O.; Faris Ismail, Ahmad

    2017-11-01

    IoT aims to interconnect sensors and actuators built into devices (also known as Things) in order for them to share data and control each other to improve existing processes for making people’s life better. IoT aims to connect between all physical devices like fridges, cars, utilities, buildings and cities so that they can take advantage of small pieces of information collected by each one of these devices and derive more complex decisions. However, these devices are heterogeneous in nature because of various vendor support, connectivity options and protocol suit. Heterogeneity of such devices makes it difficult for them to leverage on each other’s capabilities in the traditional IoT architecture. This paper highlights the effects of heterogeneity challenges on connectivity, interoperability, management in greater details. It also surveys some of the existing solutions adopted in the core network to solve the challenges of massive IoT deployments. Finally, the paper proposes a new architecture based on NFV to address the problems.

  16. I/O Performance of Virtualized Cloud Environments

    Energy Technology Data Exchange (ETDEWEB)

    Ghoshal, Devarshi; Canon, Shane; Ramakrishnan, Lavanya

    2011-11-03

    The scientific community is exploring the suitability of cloud infrastructure to handle High Performance Computing (HPC) applications. The goal of Magellan, a project funded through DOE ASCR, is to investigate the potential role of cloud computing to address the computing needs of the Department of Energy?s Office of Science, especially for mid-range computing and data-intensive applications which are not served through existing DOE centers today. Prior work has shown that applications with significant communication orI/O tend to perform poorly in virtualized cloud environments. However, there is a limited understanding of the I/O characteristics in virtualized cloud environments. This paper will present our results in benchmarking the I/O performance over different cloud and HPC platforms to identify the major bottlenecks in existing infrastructure. We compare the I/O performance using IOR benchmark on two cloud platforms - Amazon and Magellan. We analyze the performance of different storage options available, different instance types in multiple availability zones. Finally, we perform large-scale tests in order to analyze the variability in the I/O patterns over time and region. Our results highlight the overhead and variability in I/O performance on both public and private cloud solutions. Our results will help applications decide between the different storage options enabling applications to make effective choices.

  17. A Return to Io: Science Goals and Implementation

    Science.gov (United States)

    Spencer, J. R.; Smythe, W. D.; Lopes-Gautier, R.; McEwen, A. S.

    2001-01-01

    Io remains one of the most fascinating objects in the solar system: the only place beyond Earth where we can watch hard-rock geology in action. In its high heat flow Io resembles the early Earth, providing a present-day analog to some of the processes that dominated the Earth's geology at the time that life first appeared. Io's usefulness as an early-Earth analog has been underscored recently by the detection of very high eruption temperatures, hotter than terrestrial basaltic lavas. These temperatures are most plausibly interpreted as resulting from ultramafic lava compositions, analagous to the komatiites that were common on Earth in the Precambrian but which have been virtually absent during the Phanerozoic. The large scale of many Io eruptions also provides useful analogs to Phanerozoic terrestrial eruptions, such as flood basalts, which are important for the Earth's geological and biological evolution but which occur too rarely to be witnessed by humans on our own planet. By providing living examples, Io can thus play the same role in understanding large-scale planetary volcanism that volcanically active terrestrial regions have played in understanding the results of smaller-scale volcanic processes seen in the geological record worldwide. Additional information is contained in the original extended abstract.

  18. The Internet of Things (IoT: An Overview

    Directory of Open Access Journals (Sweden)

    Antar Shaddad Abdul-Qawy

    2015-12-01

    Full Text Available Information and Communications Technology (ICT controls our daily behaviors. It becomes a main part of our life critical infrastructure bringing interconnection of heterogeneous devices in different aspects. Personal computing, sensing, surveillance, smart homes, entertainment, transportation and video streaming are examples, to name a few. As a critical living entity, Internet is contentiously changing and evolving leading to emerging new technologies, applications, protocols and algorithms. Acceleration of wireless communication trends brings an ever growing innovation in Internet connectivity and mobile broadband. Infrastructureless communication devices become ubiquitous, smart, powerful, connectible, smaller, cheaper, and easier to deploy and install. This opens a new future direction in the society of ICT: the Internet of Things (IoT. Nowadays, the IoT, early defined as Machine-to-Machine (M2M communications, becomes a key concern of ICT world and research communities. In this paper, we provide an overview study of the IoT paradigm, its concepts, principles and potential benefits. Specifically, we focus on the IoT major technologies, emerging protocols, and widespread applications. This overview can help those who start approaching the IoT world aiming to understand and participate to its development.

  19. Landform Degradation and Slope Processes on Io: The Galileo View

    Science.gov (United States)

    Moore, Jeffrey M.; Sullivan, Robert J.; Chuang, Frank C.; Head, James W., III; McEwen, Alfred S.; Milazzo, Moses P.; Nixon, Brian E.; Pappalardo, Robert T.; Schenk, Paul M.; Turtle, Elizabeth P.; hide

    2001-01-01

    The Galileo mission has revealed remarkable evidence of mass movement and landform degradation on Io. We recognize four major slope types observed on a number of intermediate resolution (250 m/pixel) images and several additional textures on very high resolution (10 m/pixel) images. Slopes and scarps on Io often show evidence of erosion, seen in the simplest form as alcove-carving slumps and slides at all scales. Many of the mass movement deposits on Io are probably mostly the consequence of block release and brittle slope failure. Sputtering plays no significant role. Sapping as envisioned by McCauley et al. remains viable. We speculate that alcove-lined canyons seen in one observation and lobed deposits seen along the bases of scarps in several locations may reflect the plastic deformation and 'glacial' flow of interstitial volatiles (e.g., SO2) heated by locally high geothermal energy to mobilize the volatile. The appearance of some slopes and near-slope surface textures seen in very high resolution images is consistent with erosion from sublimation-degradation. However, a suitable volatile (e.g., H2S) that can sublimate fast enough to alter Io's youthful surface has not been identified. Disaggregation from chemical decomposition of solid S2O and other polysulfur oxides may conceivably operate on Io. This mechanism could degrade landforms in a manner that resembles degradation from sublimation, and at a rate that can compete with resurfacing.

  20. Energy and time modelling of kerbside waste collection: Changes incurred when adding source separated food waste.

    Science.gov (United States)

    Edwards, Joel; Othman, Maazuza; Burn, Stewart; Crossin, Enda

    2016-10-01

    The collection of source separated kerbside municipal FW (SSFW) is being incentivised in Australia, however such a collection is likely to increase the fuel and time a collection truck fleet requires. Therefore, waste managers need to determine whether the incentives outweigh the cost. With literature scarcely describing the magnitude of increase, and local parameters playing a crucial role in accurately modelling kerbside collection; this paper develops a new general mathematical model that predicts the energy and time requirements of a collection regime whilst incorporating the unique variables of different jurisdictions. The model, Municipal solid waste collect (MSW-Collect), is validated and shown to be more accurate at predicting fuel consumption and trucks required than other common collection models. When predicting changes incurred for five different SSFW collection scenarios, results show that SSFW scenarios require an increase in fuel ranging from 1.38% to 57.59%. There is also a need for additional trucks across most SSFW scenarios tested. All SSFW scenarios are ranked and analysed in regards to fuel consumption; sensitivity analysis is conducted to test key assumptions. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

  1. A model of charge collection for irradiated p sup + n detectors

    CERN Document Server

    Martí i García, S; Casse, G; Greenall, A

    2001-01-01

    The charge collection in irradiated p sup + n silicon detectors was studied as a function of the reverse bias voltage. Oxygenated and non-oxygenated devices were irradiated beyond type inversion with 24 GeV/c protons. The charge collection is successfully described with a model based on the hypothesis that the charge trapping depends on the carriers velocity. With this model, values for the full depletion voltage are extracted which show good agreement with those measured using the CV technique. The model allows a quantitative understanding of why although oxygenation of p sup + n devices improves substantially the full depletion voltage, much less improvement is observed in the charge collection efficiency.

  2. MeteoIO 2.4.2: a preprocessing library for meteorological data

    Directory of Open Access Journals (Sweden)

    M. Bavay

    2014-12-01

    Full Text Available Using numerical models which require large meteorological data sets is sometimes difficult and problems can often be traced back to the Input/Output functionality. Complex models are usually developed by the environmental sciences community with a focus on the core modelling issues. As a consequence, the I/O routines that are costly to properly implement are often error-prone, lacking flexibility and robustness. With the increasing use of such models in operational applications, this situation ceases to be simply uncomfortable and becomes a major issue. The MeteoIO library has been designed for the specific needs of numerical models that require meteorological data. The whole task of data preprocessing has been delegated to this library, namely retrieving, filtering and resampling the data if necessary as well as providing spatial interpolations and parameterizations. The focus has been to design an Application Programming Interface (API that (i provides a uniform interface to meteorological data in the models, (ii hides the complexity of the processing taking place, and (iii guarantees a robust behaviour in the case of format errors, erroneous or missing data. Moreover, in an operational context, this error handling should avoid unnecessary interruptions in the simulation process. A strong emphasis has been put on simplicity and modularity in order to make it extremely easy to support new data formats or protocols and to allow contributors with diverse backgrounds to participate. This library is also regularly evaluated for computing performance and further optimized where necessary. Finally, it is released under an Open Source license and is available at http://models.slf.ch/p/meteoio. This paper gives an overview of the MeteoIO library from the point of view of conceptual design, architecture, features and computational performance. A scientific evaluation of the produced results is not given here since the scientific algorithms that are used

  3. Government information collections in the networked environment new issues and models

    CERN Document Server

    Cheverie, Joan F

    2013-01-01

    This insightful book explores the challenging issues related to effective access to government information.Amidst all the chaos of today's dynamic information transition period, the only constants related to government information are change and inconsistency, yet with Government Information Collections in the Networked Environment: New Issues and Models, you will defeat the challenging issues and take advantage of the opportunities that networked government information collections have to offer. This valuable book gives you a fresh opportunity to rethink collecting activities and to

  4. Married with Children : A Collective Labor Supply Model with Detailed Time Use and Intrahousehold Expenditure Information

    NARCIS (Netherlands)

    Cherchye, L.J.H.; de Rock, B.; Vermeulen, F.M.P.

    2010-01-01

    We propose a collective labor supply model with household production that generalizes an original model of Blundell, Chiappori and Meghir (2005). In our model, adults' individual preferences do not only depend on own leisure and individual private consumption of market goods. They also depend on the

  5. First Mile Challenges for Large-Scale IoT

    KAUST Repository

    Bader, Ahmed

    2017-03-16

    The Internet of Things is large-scale by nature. This is not only manifested by the large number of connected devices, but also by the sheer scale of spatial traffic intensity that must be accommodated, primarily in the uplink direction. To that end, cellular networks are indeed a strong first mile candidate to accommodate the data tsunami to be generated by the IoT. However, IoT devices are required in the cellular paradigm to undergo random access procedures as a precursor to resource allocation. Such procedures impose a major bottleneck that hinders cellular networks\\' ability to support large-scale IoT. In this article, we shed light on the random access dilemma and present a case study based on experimental data as well as system-level simulations. Accordingly, a case is built for the latent need to revisit random access procedures. A call for action is motivated by listing a few potential remedies and recommendations.

  6. Tractable policy management framework for IoT

    Science.gov (United States)

    Goynugur, Emre; de Mel, Geeth; Sensoy, Murat; Calo, Seraphin

    2017-05-01

    Due to the advancement in the technology, hype of connected devices (hence forth referred to as IoT) in support of automating the functionality of many domains, be it intelligent manufacturing or smart homes, have become a reality. However, with the proliferation of such connected and interconnected devices, efficiently and effectively managing networks manually becomes an impractical, if not an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equip to maintain a bird's-eye-view of the state. Traditionally, policies are used to address the issue, but in the IoT arena, one requires a policy framework in which the language can provide sufficient amount of expressiveness along with efficient reasoning procedures to automate the management. In this work we present our initial work into creating a scalable knowledge-based policy framework for IoT and demonstrate its applicability through a smart home application.

  7. Diffuse Jovian aurora influenced by plasma injection from Io

    Science.gov (United States)

    Thorne, R. M.; Tsurutani, B. T.

    1979-01-01

    The paper demonstrates that the broad band of whistler-mode waves observed within the high density torus surrounding Io is consistent with electron cyclotron generation. Cyclotron resonant instability of Jovian energetic electrons is enhanced due to the lower resonant electron energy within the equatorial high density plasma torus surrounding the orbit of Io. The higher energy resonant electron scattering and the corresponding energetic electron lifetimes indicate that an efficient local acceleration process is required to replenish the precipitating relativistic electrons. Calculated energy deposition into the Jovian atmosphere should provide a dominant source of middle atmospheric ionization and excite a continuous band of diffuse auroral emission. It is suggested that the diffuse Jovian aurora should be influenced by the variable volcanic activity on Io which is thought to be an important source of plasma, since the cyclotron scattering process is strongly influenced by the ambient equatorial thermal plasma density.

  8. I/O routing in a multidimensional torus network

    Science.gov (United States)

    Chen, Dong; Eisley, Noel A.; Heidelberger, Philip

    2017-02-07

    A method, system and computer program product are disclosed for routing data packet in a computing system comprising a multidimensional torus compute node network including a multitude of compute nodes, and an I/O node network including a plurality of I/O nodes. In one embodiment, the method comprises assigning to each of the data packets a destination address identifying one of the compute nodes; providing each of the data packets with a toio value; routing the data packets through the compute node network to the destination addresses of the data packets; and when each of the data packets reaches the destination address assigned to said each data packet, routing said each data packet to one of the I/O nodes if the toio value of said each data packet is a specified value. In one embodiment, each of the data packets is also provided with an ioreturn value used to route the data packets through the compute node network.

  9. Proof of Concept of Home IoT Connected Vehicles.

    Science.gov (United States)

    Kim, Younsun; Oh, Hyunggoy; Kang, Sungho

    2017-06-05

    The way in which we interact with our cars is changing, driven by the increased use of mobile devices, cloud-based services, and advanced automotive technology. In particular, the requirements and market demand for the Internet of Things (IoT) device-connected vehicles will continuously increase. In addition, the advances in cloud computing and IoT have provided a promising opportunity for developing vehicular software and services in the automotive domain. In this paper, we introduce the concept of a home IoT connected vehicle with a voice-based virtual personal assistant comprised of a vehicle agent and a home agent. The proposed concept is evaluated by implementing a smartphone linked with home IoT devices that are connected to an infotainment system for the vehicle, a smartphone-based natural language interface input device, and cloud-based home IoT devices for the home. The home-to-vehicle connected service scenarios that aim to reduce the inconvenience due to simple and repetitive tasks by improving the urban mobility efficiency in IoT environments are substantiated by analyzing real vehicle testing and lifestyle research. Remarkable benefits are derived by making repetitive routine tasks one task that is executed by a command and by executing essential tasks automatically, without any request. However, it should be used with authorized permission, applied without any error at the right time, and applied under limited conditions to sense the habitants' intention correctly and to gain the required trust regarding the remote execution of tasks.

  10. Volcanism on Io: Results from Global Geologic Mapping

    Science.gov (United States)

    Williams, David A.; Keszthelyi, L. P.; Crown, D. A.; Geissler, P. E.; Schenk, P. M.; Yff, Jessica; Jaeger, W. L.

    2010-01-01

    We have completed a new 1:15,000,000 global geologic map of Jupiter's volcanic moon, Io, based on a set of 1 km/pixel combined Galileo- Voyager mosaics produced by the U.S. Geological Survey. The map was produced over the last three years using ArcGIS(TM) software, and has undergone peer-review. Here we report some of the key results from our global mapping efforts, and how these results relate to questions regarding the volcano-tectonic evolution of Io.

  11. Autonomic Resilient Internet-of-Things(IoT)Management

    OpenAIRE

    Kamal, Rossi; Hong, Choonog Seon; Choi, Mi Jung

    2015-01-01

    In Resilient IoT, the revenue of service provider is resilient to uncertain usage-contexts(e.g. emotion, environmental contexts) of Smart-device users. Hence, Autonomic Resilient IoT Management problem is decomposed into two subproblems, namely m-connectivity and k-dominance, such that m-alternations on revenue making process is resilient to users common interests, which might be depicted through k-1 alternations of usage-contexts. In this context, a greedy approximation scheme Bee is propose...

  12. Upper Bounds on Stream I/O Using Semantic Interpretations

    OpenAIRE

    Gaboardi, Marco; Péchoux, Romain

    2009-01-01

    The original publication is available at www.springerlink.com; International audience; This paper extends for the first time semantics interpretation tools to infinite data in order to ensure Input/Output upper bounds on first order Haskell like programs on streams. By I/O upper bounds, we mean temporal relations between the number of reads performed on the input stream elements and the number of output elements produced. We study several I/O upper bounds properties that are of both theoretic...

  13. An iOS implementation of the Shannon switching game

    OpenAIRE

    Macík, Miroslav

    2013-01-01

    Shannon switching game is a logical graph game for two players. The game was created by American mathematician Claude Shannon. iOS is an operating system designed for iPhone cellular phone, iPod music player and iPad tablet. The thesis describes existing implementations of the game and also specific implementation for iOS operating system created as a part of this work. This implementation allows you to play against virtual opponent and also supports multiplayer game consisting of two players...

  14. Instant OpenCV for iOS

    CERN Document Server

    Kornyakov, Kirill

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This book uses a very practical approach, with each recipe and their associated sample projects or examples focusing on a particular aspect of the technology.This book is intended for OpenCV developers who are interested in porting their applications to the iOS platform. Basic experience with OpenCV, computer vision, Objective C, and other iOS tools is encouraged.

  15. Effects of Intraosseous Tibial vs. Intravenous Vasopressin in a Hypovolemic Cardiac Arrest Model

    Directory of Open Access Journals (Sweden)

    Justin Fulkerson, MSN

    2016-03-01

    Full Text Available Introduction: This study compared the effects of vasopressin via tibial intraosseous (IO and intravenous (IV routes on maximum plasma concentration (Cmax, the time to maximum concentration (Tmax, return of spontaneous circulation (ROSC, and time to ROSC in a hypovolemic cardiac arrest model. Methods: This study was a randomized prospective, between-subjects experimental design. A computer program randomly assigned 28 Yorkshire swine to one of four groups: IV (n=7, IO tibia (n=7, cardiopulmonary resuscitation (CPR + defibrillation (n=7, and a control group that received just CPR (n=7. Ventricular fibrillation was induced, and subjects remained in arrest for two minutes. CPR was initiated and 40 units of vasopressin were administered via IO or IV routes. Blood samples were collected at 0.5, 1, 1.5, 2, 2.5, 3, and 4 minutes. CPR and defibrillation were initiated for 20 minutes or until ROSC was achieved. We measured vasopressin concentrations using highperformance liquid chromatography. Results: There was no significant difference between the IO and IV groups relative to achieving ROSC (p=1.0 but a significant difference between the IV compared to the CPR+ defibrillation group (p=0.031 and IV compared to the CPR-only group (p=0.001. There was a significant difference between the IO group compared to the CPR+ defibrillation group (p=0.031 and IO compared to the CPR-only group (p=0.001. There was no significant difference between the CPR + defibrillation group and the CPR group (p=0.127. There was no significant difference in Cmax between the IO and IV groups (p=0.079. The mean ± standard deviation of Cmax of the IO group was 58,709±25,463pg/mL compared to the IV group, which was 106,198±62,135pg/mL. There was no significant difference in mean Tmax between the groups (p=0.084. There were no significant differences in odds of ROSC between the tibial IO and IV groups. Conclusion: Prompt access to the vascular system using the IO route can circumvent

  16. Game Theory Models for the Verification of the Collective Behaviour of Autonomous Cars

    OpenAIRE

    Varga, László Z.

    2017-01-01

    The collective of autonomous cars is expected to generate almost optimal traffic. In this position paper we discuss the multi-agent models and the verification results of the collective behaviour of autonomous cars. We argue that non-cooperative autonomous adaptation cannot guarantee optimal behaviour. The conjecture is that intention aware adaptation with a constraint on simultaneous decision making has the potential to avoid unwanted behaviour. The online routing game model is expected to b...

  17. Lyman Alpha Camera for Io's SO2 atmosphere and Europa's water plumes

    Science.gov (United States)

    McEwen, Alfred S.; Sandel, Bill; Schneider, Nick

    2014-05-01

    absorption. Also, the radiation-induced noise is lower at Europa, permitting longer exposure times and imaging at closer range. This is a very simple instrument with no moving parts, a mass of 4 kg (plus 1.7 kg radiation shielding), and it needs 4 W power. It has no special accommodation requirements and would simply collect data in ride-along mode during point-and-stare sequences. Feaga, L.M., et al. (2009) Io's dayside SO2 atmosphere, Icarus 201, 570-584 (2009). Feldman, P.D., et al., (2000) Lyman-α imaging of the SO2 distribution on Io, Geophys. Res. Lett., 27, 1787-1790. McEwen, A.S. et al. (2014) Io Volcano Observer (IVO): Budget travel to the outer Solar System. Acta Astronautica 93, 539-544. Roth, L. et al. (2014) Transient water vapor at Europa's south pole. Science 343, 171. Sandel, B., et al. (2000) The Extreme Ultraviolet Imager investigation for the IMAGE mission. Space Sci. Rev. 91, 197-242.

  18. How IoT, AAI Can Contribute to Smart Home and Smart Cities Services - the Role of Innovation

    DEFF Research Database (Denmark)

    Skouby, Knud Erik; Lynggaard, Per; Windekilde, Iwona Maria

    comprises a collection of smart homes equipped with IoT’s and an AAI system. The presented concept includes novel services for citizens and it seems to move the state-of-the-art for innovative smart city services into the next era, i.e. a new ecosystem. Furthermore we will investigate the relationship...... of social programs and healthcare, environment, energy and water, government, administration and public safety services....

  19. The Permanent Collection of 1925: Oslo Modernism in Paper and Models

    Directory of Open Access Journals (Sweden)

    Mari Lending

    2014-03-01

    Full Text Available In 1925, architect Georg Eliassen took the initiative to establish a collection of drawings, photography and scale models in response to an increasing frustration among Norwegian architect of not being able to participate in international architectural exhibitions. The so-called Permanent Collection was founded on a principle of absolute contemporaneity, making de-acquisition as important as acquisition in the management of the collection. Nevertheless, the collection kept increasing. By the mid 1930s it included hundreds of models and innumerable drawings and photos and was seen as nucleus of an entire museum of Norwegian architecture. This ambition failed, and the material that had been so intensively displayed in Kiel, Budapest, Helsinki, Berlin, Prague, and Paris, before making its last appearance at the World’s Fair in New York in 1939, was buried in storage, dispersed, or destroyed. Based on extensive archival research, this article chronicles a forgotten collection, framing it within a modernist culture of collecting and exhibiting architecture.  In November and December 2013, Mari Lending and Mari Hvattum salvaged parts of the Permanent Collection in the exhibition “Model as Ruin” at Kunstnernes Hus (House of Artists in Oslo, the venue that hosted the most important display of the collection in 1931.

  20. Simple Models of Self-Propelled Colloids and Liquid Drops: From Individual Motion to Collective Behaviors

    Science.gov (United States)

    Yoshinaga, Natsuhiko

    2017-10-01

    In this review, we discuss recent developments in the theoretical models of self-propelled particles. We first summarize simple models, including active Brownian particles (ABPs), squirmers, and Janus particles (self-phoretic swimmers). We then consider the extension of these models in order to demonstrate the symmetry-breaking mechanism of the motion. Finally, we investigate the emergence of the rich collective behaviors of these models.

  1. The condensation and vaporization behavior of ices containing SO2, H2S, and CO2: Implications for Io

    Science.gov (United States)

    Sandford, Scott A.; Allamandola, Louis J.

    1993-01-01

    In an extension of previously reported work on ices containing CO, CO2, H2O, CH3OH, NH3, and H2, measurements of the physical and infrared spectral properties of ices containing molecules relevant to Jupiter's moon Io are presented. These include studies on ice systems containing SO2, H2S, and CO2. The condensation and sublimation behaviors of each ice system and surface binding energies of their components are discussed. The surface binding energies can be used to calculate the residence times of the molecules on a surface as a function of temperature and thus represent important parameters for any calculation that attempts to model the transport of these molecules on Io's surface. The derived values indicate that SO2 frosts on Io are likely to anneal rapidly, resulting in less fluffy, 'glassy' ices and that H2S can be trapped in the SO2 ices of Io during night-time hours provided that SO2 deposition rates are on the order of 5 micrometers/hr or larger.

  2. Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

    National Research Council Canada - National Science Library

    Marjani, Mohsen; Nasaruddin, Fariza; Gani, Abdullah; Karim, Ahmad; Hashem, Ibrahim Abaker Targio; Siddiqa, Aisha; Yaqoob, Ibrar

    2017-01-01

    .... However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices...

  3. Magnetic anomalies on Io and their relationship to the spatial distribution of volcanic centers

    Science.gov (United States)

    Knicely, Joshua; Everett, Mark E.; Sparks, David W.

    2017-08-01

    Forward modeling of planetary-scale magnetic anomalies due to induced crustal magnetization of Io is developed. The approach involves finite difference modeling of a temporally- and spatially-averaged steady state geotherm superimposed by the thermal evolution of an instantaneously emplaced volcanic pipe with and without an underlying magma chamber. A slight adjustment to previous studies results in a preferred steady state geotherm. The crustal magnetization is based on the calculated distribution of temperature, the strength of an idealized Jovian magnetic field, and a temperature-dependent susceptibility. Magnetite is assumed to be the dominant magnetic mineral. Synthetic satellite flyby data are generated along selected meridional swaths of Io's surface, based on observed locations of volcanic centers, hotspots, and accumulations of ejected volcanic material. This work produces a 1-D geotherm which remains at approximately the surface temperature to within a few kilometers of the thermal lithosphere/mantle boundary. This solution shows little dependence on porosity due to the depth at which rapid temperature change occurs. These conclusions hold for largely varying mantle temperatures. Silicate volcanic centers cool to the temperature of sulfur eruptions rapidly and become indistinguishable from sulfur volcanism within 10,000 years. The magnetic anomaly due to temperature variation is smaller than detectable for nominal conditions. The modeling herein requires a flyby altitude of ∼25 km and a pipe radius of ∼640 m for detection, or, for a more reasonable flyby altitude of 100 km, a pipe radius of ∼6000 m. If a crustal anomaly is detected by future satellite missions, it would suggest different conditions at Io than modeled here.

  4. Building IoT Services for Aging in Place Using Standard-Based IoT Platforms and Heterogeneous IoT Products

    Science.gov (United States)

    Fattah, Sheik Mohammad Mostakim; Sung, Nak-Myoung; Ahn, Il-Yeup; Ryu, Minwoo; Yun, Jaeseok

    2017-01-01

    An aging population and human longevity is a global trend. Many developed countries are struggling with the yearly increasing healthcare cost that dominantly affects their economy. At the same time, people living with old adults suffering from a progressive brain disorder such as Alzheimer’s disease are enduring even more stress and depression than those patients while caring for them. Accordingly, seniors’ ability to live independently and comfortably in their current home for as long as possible has been crucial to reduce the societal cost for caregiving and thus give family members peace of mind, called ‘aging in place’ (AIP). In this paper we present a way of building AIP services using standard-based IoT platforms and heterogeneous IoT products. An AIP service platform is designed and created by combining previous standard-based IoT platforms in a collaborative way. A service composition tool is also created that allows people to create AIP services in an efficient way. To show practical usability of our proposed system, we choose a service scenario for medication compliance and implement a prototype service which could give old adults medication reminder appropriately at the right time (i.e., when it is time to need to take pills) through light and speaker at home but also wrist band and smartphone even outside the home. PMID:29019964

  5. Building IoT Services for Aging in Place Using Standard-Based IoT Platforms and Heterogeneous IoT Products.

    Science.gov (United States)

    Fattah, Sheik Mohammad Mostakim; Sung, Nak-Myoung; Ahn, Il-Yeup; Ryu, Minwoo; Yun, Jaeseok

    2017-10-11

    An aging population and human longevity is a global trend. Many developed countries are struggling with the yearly increasing healthcare cost that dominantly affects their economy. At the same time, people living with old adults suffering from a progressive brain disorder such as Alzheimer's disease are enduring even more stress and depression than those patients while caring for them. Accordingly, seniors' ability to live independently and comfortably in their current home for as long as possible has been crucial to reduce the societal cost for caregiving and thus give family members peace of mind, called 'aging in place' (AIP). In this paper we present a way of building AIP services using standard-based IoT platforms and heterogeneous IoT products. An AIP service platform is designed and created by combining previous standard-based IoT platforms in a collaborative way. A service composition tool is also created that allows people to create AIP services in an efficient way. To show practical usability of our proposed system, we choose a service scenario for medication compliance and implement a prototype service which could give old adults medication reminder appropriately at the right time (i.e., when it is time to need to take pills) through light and speaker at home but also wrist band and smartphone even outside the home.

  6. Cassini-VIMS at Jupiter: Solar occultation measurements using Io

    Science.gov (United States)

    Formisano, V.; D'Aversa, E.; Bellucci, G.; Baines, K.H.; Bibring, J.-P.; Brown, R.H.; Buratti, B.J.; Capaccioni, F.; Cerroni, P.; Clark, R.N.; Coradini, A.; Cruikshank, D.P.; Drossart, P.; Jaumann, R.; Langevin, Y.; Matson, D.L.; McCord, T.B.; Mennella, V.; Nelson, R.M.; Nicholson, P.D.; Sicardy, B.; Sotin, Christophe; Chamberlain, M.C.; Hansen, G.; Hibbits, K.; Showalter, M.; Filacchione, G.

    2003-01-01

    We report unusual and somewhat unexpected observations of the jovian satellite Io, showing strong methane absorption bands. These observations were made by the Cassini VIMS experiment during the Jupiter flyby of December/January 2000/2001. The explanation is straightforward: Entering or exiting from Jupiter's shadow during an eclipse, Io is illuminated by solar light which has transited the atmosphere of Jupiter. This light, therefore becomes imprinted with the spectral signature of Jupiter's upper atmosphere, which includes strong atmospheric methane absorption bands. Intercepting solar light refracted by the jovian atmosphere, Io essentially becomes a "miffor" for solar occultation events of Jupiter. The thickness of the layer where refracted solar light is observed is so large (more than 3000 km at Io's orbit), that we can foresee a nearly continuous multi-year period of similar events at Saturn, utilizing the large and bright ring system. During Cassini's 4-year nominal mission, this probing tecnique should reveal information of Saturn's atmosphere over a large range of southern latitudes and times. ?? 2003 Elsevier Inc. All rights reserved.

  7. Interoperability for smart appliances in the IoT world

    NARCIS (Netherlands)

    Daniele, L.; Solanki, M.; Hartog, F. den; Roes, J.

    2016-01-01

    Household appliances are set to become highly intelligent, smart and networked devices in the near future. Systematically deployed on the Internet of Things (IoT), they would be able to form complete energy consuming, producing, and managing ecosystems. Smart systems are technically very

  8. Wireless Home Automation System using IoTq

    National Research Council Canada - National Science Library

    Alexandra Mihalache

    2017-01-01

    ... the home in the past. More and more solutions based on IoT are being developed to transform homes into smart ones, but the problem is that the benefits of home automation are still not clear to everyone as they are...

  9. Learn Unity 4 for iOS game development

    CERN Document Server

    Chu, Philip

    2013-01-01

    The only book on Unity 4 game development The only up-to-date book on Unity for iOS Philip Chu is the author of a very popular online Unity tutorial, frequently recommended on sites like StackOverflow

  10. IoT-Forensics Meets Privacy: Towards Cooperative Digital Investigations.

    Science.gov (United States)

    Nieto, Ana; Rios, Ruben; Lopez, Javier

    2018-02-07

    IoT-Forensics is a novel paradigm for the acquisition of electronic evidence whose operation is conditioned by the peculiarities of the Internet of Things (IoT) context. As a branch of computer forensics, this discipline respects the most basic forensic principles of preservation, traceability, documentation, and authorization. The digital witness approach also promotes such principles in the context of the IoT while allowing personal devices to cooperate in digital investigations by voluntarily providing electronic evidence to the authorities. However, this solution is highly dependent on the willingness of citizens to collaborate and they may be reluctant to do so if the sensitive information within their personal devices is not sufficiently protected when shared with the investigators. In this paper, we provide the digital witness approach with a methodology that enables citizens to share their data with some privacy guarantees. We apply the PRoFIT methodology, originally defined for IoT-Forensics environments, to the digital witness approach in order to unleash its full potential. Finally, we show the feasibility of a PRoFIT-compliant digital witness with two use cases.

  11. PyIO: Input-Output Analysis with Python

    OpenAIRE

    Suahasil Nazara; Dong Guo; Geoffrey J. D. Hewings; Chokri Dridi

    2004-01-01

    This is a User Manual about PyIO, an Input-Output analysis tool using Python. Up to date software is available from the Regional Economics Applications Laboratory (University of Illinois at Urbana-Champaign) homepage. http://www.uiuc.edu/unit/real/

  12. Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.

    Science.gov (United States)

    Dieck Kattas, Graciano; Xu, Xiao-Ke; Small, Michael

    2012-01-01

    Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional) Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals) may be inferred.

  13. Acting in solidarity: Testing an extended dual pathway model of collective action by bystander group members.

    Science.gov (United States)

    Saab, Rim; Tausch, Nicole; Spears, Russell; Cheung, Wing-Yee

    2015-09-01

    We examined predictors of collective action among bystander group members in solidarity with a disadvantaged group by extending the dual pathway model of collective action, which proposes one efficacy-based and one emotion-based path to collective action (Van Zomeren, Spears, Fischer, & Leach, 2004). Based on two proposed functions of social identity performance (Klein, Spears, & Reicher, 2007), we distinguished between the efficacy of collective action at consolidating the identity of a protest movement and its efficacy at achieving social change (political efficacy). We expected identity consolidation efficacy to positively predict collective action tendencies directly and indirectly via political efficacy. We also expected collective action tendencies to be positively predicted by moral outrage and by sympathy in response to disadvantaged outgroup's suffering. These hypotheses were supported in two surveys examining intentions to protest for Palestine in Britain (Study 1), and intentions to attend the June 4th vigil in Hong Kong to commemorate the Tiananmen massacre among a sample of Hong Kong citizens (Study 2). The contributions of these findings to research on the dual pathway model of collective action and the different functions of collective action are discussed. © 2014 The British Psychological Society.

  14. Advanced I/O for large-scale scientific applications.

    Energy Technology Data Exchange (ETDEWEB)

    Klasky, Scott (Oak Ridge National Laboratory, Oak Ridge, TN); Schwan, Karsten (Georgia Institute of Technology, Atlanta, GA); Oldfield, Ron A.; Lofstead, Gerald F., II (Georgia Institute of Technology, Atlanta, GA)

    2010-01-01

    As scientific simulations scale to use petascale machines and beyond, the data volumes generated pose a dual problem. First, with increasing machine sizes, the careful tuning of IO routines becomes more and more important to keep the time spent in IO acceptable. It is not uncommon, for instance, to have 20% of an application's runtime spent performing IO in a 'tuned' system. Careful management of the IO routines can move that to 5% or even less in some cases. Second, the data volumes are so large, on the order of 10s to 100s of TB, that trying to discover the scientifically valid contributions requires assistance at runtime to both organize and annotate the data. Waiting for offline processing is not feasible due both to the impact on the IO system and the time required. To reduce this load and improve the ability of scientists to use the large amounts of data being produced, new techniques for data management are required. First, there is a need for techniques for efficient movement of data from the compute space to storage. These techniques should understand the underlying system infrastructure and adapt to changing system conditions. Technologies include aggregation networks, data staging nodes for a closer parity to the IO subsystem, and autonomic IO routines that can detect system bottlenecks and choose different approaches, such as splitting the output into multiple targets, staggering output processes. Such methods must be end-to-end, meaning that even with properly managed asynchronous techniques, it is still essential to properly manage the later synchronous interaction with the storage system to maintain acceptable performance. Second, for the data being generated, annotations and other metadata must be incorporated to help the scientist understand output data for the simulation run as a whole, to select data and data features without concern for what files or other storage technologies were employed. All of these features should be

  15. Smart City Platform Development for an Automated Waste Collection System

    National Research Council Canada - National Science Library

    Cicerone Laurentiu Popa; George Carutasu; Costel Emil Cotet; Nicoleta Luminita Carutasu; Tiberiu Dobrescu

    2017-01-01

    Nowadays, governments and companies are looking for solutions to increase the collection level of various waste types by using new technologies and devices such as smart sensors, Internet of Things (IoT...

  16. Global Distribution of Active Volcanism on Io as Known at the End of the Galileo Mission

    Science.gov (United States)

    Lopes, Rosaly M. C.; Kamp. Lucas W.; Smythe, W. D.; Radebaugh, J.; Turtle, E.; Perry, J.; Bruno, B.

    2004-01-01

    Hot spots are manifestations of Io s mechanism of internal heating and heat transfer. Therefore, the global distribution of hot spots and their power output has important implications for how Io is losing heat. The end of the Galileo mission is an opportune time to revisit studies of the distribution of hot spots on Io, and to investigate the distribution of their power output.

  17. Uncovering the Images and Meanings of International Organizations (IOs) in Higher Education Research

    Science.gov (United States)

    Shahjahan, Riyad A.; Madden, Meggan

    2015-01-01

    Employing Stuart Hall's concept of representation, we examine how international organizations (IOs) are presented in the higher education literature. This paper examines how IOs, such as the World Bank, OECD, and UNESCO, are conceptualized and represented by higher education researchers. We focus on three main representations of IOs in the higher…

  18. PipesFS: Fast Linux I/O in the Unix Tradition

    NARCIS (Netherlands)

    de Bruijn, W.J.; Bos, H.J.

    2008-01-01

    This paper presents PipesFS, an I/O architecture for Linux 2.6 that increases I/O throughput and adds support for heterogeneous parallel processors by (1) collapsing many I/O interfaces onto one: the Unix pipeline, (2) increasing pipe efficiency and (3) exploiting pipeline modularity to spread

  19. IAACaaS: IoT Application-Scoped Access Control as a Service

    Directory of Open Access Journals (Sweden)

    Álvaro Alonso

    2017-10-01

    Full Text Available access control is a key element when guaranteeing the security of online services. However, devices that make the Internet of Things have some special requirements that foster new approaches to access control mechanisms. Their low computing capabilities impose limitations that make traditional paradigms not directly applicable to sensors and actuators. In this paper, we propose a dynamic, scalable, IoT-ready model that is based on the OAuth 2.0 protocol and that allows the complete delegation of authorization, so that an as a service access control mechanism is provided. Multiple tenants are also supported by means of application-scoped authorization policies, whose roles and permissions are fine-grained enough to provide the desired flexibility of configuration. Besides, OAuth 2.0 ensures interoperability with the rest of the Internet, yet preserving the computing constraints of IoT devices, because its tokens provide all the necessary information to perform authorization. The proposed model has been fully implemented in an open-source solution and also deeply validated in the scope of FIWARE, a European project with thousands of users, the goal of which is to provide a framework for developing smart applications and services for the future Internet. We provide the details of the deployed infrastructure and offer the analysis of a sample smart city setup that takes advantage of the model. We conclude that the proposed solution enables a new access control as a service paradigm that satisfies the special requirements of IoT devices in terms of performance, scalability and interoperability.

  20. Diffuse Jovian aurora influenced by plasma injection from IO

    Energy Technology Data Exchange (ETDEWEB)

    Thorne, R.M.; Tsurutani, B.T.

    1979-08-01

    Cyclotron resonant instability of Jovian energetic electrons is dramatically enhanced as a consequence of the lower resonant electron energy (E/sub res/proportionalB/sup 2//8..pi..N) within the equatorial high density plasma torus surrounding the orbit of Io. This mechanism accounts adequately for the continuous broad band whistler mode waves observed within the Io torus on Voyager I. The higher energy resonant electrons (approx.100 keV to 1 MeV) can be scattered by the observed low frequency waves (< or approx. =1 kHz) at a rate as high as 10 percent of the limit attainable under strong pitch-angle diffusion; the corresponding energetic electron lifetimes are comparable to a day. This is much shorter than any realistic estimates for radial diffusion transport near Io. Thus an efficient local acceleration process is required to continually replenish the precipitating relativistic electrons. Concomitant energy deposition into the Jovian atmosphere is estimated to be approx.5 to 15 ergs cm/sup -2/ sec/sup -1/ over a broad invariant latitude range mapping from the Io plasma torus (65/sup 0/< or approx. =..lambda..< or approx. =75/sup 0/). This intense precipitation should both provide a dominant source of middle atmospheric ionization and excite a continuous band of diffuse auroral emission. In the absence of significant extinction, H Ly..cap alpha.. intensity is estimated to be 30 to 100 kR in approximate agreement with the Voyager Extreme Ultraviolet observations. Total power dissipation over the diffuse auroral zone should be at least 10/sup 13/ watts. Because the cyclotron resonant scattering process is strongly influenced by the ambient equatorial thermal plasma density we suggest that the diffuse Jovian aurora should be influenced by the variable volcanic activity on Io which is thought to be an important source of plasma.

  1. Modeling collective animal behavior with a cognitive perspective: a methodological framework.

    Directory of Open Access Journals (Sweden)

    Sebastian Weitz

    Full Text Available The last decades have seen an increasing interest in modeling collective animal behavior. Some studies try to reproduce as accurately as possible the collective dynamics and patterns observed in several animal groups with biologically plausible, individual behavioral rules. The objective is then essentially to demonstrate that the observed collective features may be the result of self-organizing processes involving quite simple individual behaviors. Other studies concentrate on the objective of establishing or enriching links between collective behavior researches and cognitive or physiological ones, which then requires that each individual rule be carefully validated. Here we discuss the methodological consequences of this additional requirement. Using the example of corpse clustering in ants, we first illustrate that it may be impossible to discriminate among alternative individual rules by considering only observational data collected at the group level. Six individual behavioral models are described: They are clearly distinct in terms of individual behaviors, they all reproduce satisfactorily the collective dynamics and distribution patterns observed in experiments, and we show theoretically that it is strictly impossible to discriminate two of these models even in the limit of an infinite amount of data whatever the accuracy level. A set of methodological steps are then listed and discussed as practical ways to partially overcome this problem. They involve complementary experimental protocols specifically designed to address the behavioral rules successively, conserving group-level data for the overall model validation. In this context, we highlight the importance of maintaining a sharp distinction between model enunciation, with explicit references to validated biological concepts, and formal translation of these concepts in terms of quantitative state variables and fittable functional dependences. Illustrative examples are provided of the

  2. Collective academic supervision:a model for participation and learning in higher education

    OpenAIRE

    Nordentoft, Helle Merete; Thomsen, Rie; Wichmann-Hansen, Gitte

    2013-01-01

    Supervision of students is a core activity in higher education. Previous research on student supervision in higher education focus on individual and relational aspects in the supervisory relationship rather than collective, pedagogical and methodical aspects of the planning of the supervision process. This article fills these gaps by discussing potentials and challenges in “Collective Academic Supervision”, a model for supervision at the Master of Education in Guidance at Aarhus University in...

  3. Partial purification and characterization of chiIO8, a novel antifungal chitinase produced by Bacillus cereus IO8.

    Science.gov (United States)

    Hammami, I; Siala, R; Jridi, M; Ktari, N; Nasri, M; Triki, M A

    2013-08-01

    To investigate the distribution of chitinase IO8 in Bacillus cereus strains, the enhancing effects of the chitinase-producing B. cereus strains on biocontrol potential by dual culture assay and in vivo assay against Botrytis cinerea and also the enhancing effects of the chiIO8 on disinfectant properties against seed-borne diseases. Moreover, the application of chiIO8 treatment was also observed to improve the germinative energy. The purification steps included ammonium sulfate precipitation, with columns of DEAE-Sepharose anion-exchange chromatography and Sephacryl S-400 high-resolution gel chromatography. The method gave a 5.8-fold increase in the specific activity and had a yield of 17%. The molecular weight of the partially purified chitinase chiIO8 was found to be around 30 kDa by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). The optimal pH and optimal temperature of the partially purified chitinase were pH 6.5 and 65°C, respectively. The thermostable chitinase still retained the activity after incubation for 100 min at 65°C, and it was increased about 1.25 times than that of the control (before heating) when the enzyme solution heated at 65°C for 60 min. The partially purified chitinase chiIO8 displays a wide inhibitory spectrum towards all phytopathogenic fungi tested. chiIO8 also exhibited effective disinfectant properties against seed-borne diseases. The present investigation emphasizes the potential of chitinase-producing micro-organism as promising biocontrol agents of fungal plant pathogens with chitinous cell wall. The novel chitinase chiIO8 proved an efficient, environmentally safe and user-friendly solution. This is the first investigation devoted exclusively to analyse the distribution of chitinase in B. cereus. It infers that the chitinase produced by B. cereus might play a role in the activity of the biopesticide. © 2013 The Society for Applied Microbiology.

  4. Reduction of hypervalent iodine by coordination to iron(iii) and the crystal structures of PhIO and PhIO2.

    Science.gov (United States)

    Wegeberg, Christina; Frankær, Christian Grundahl; McKenzie, Christine J

    2016-11-28

    The iodine L 3 -edge X-ray Absorption Near Edge Structure (XANES) of organic and inorganic iodine compounds with formal iodine oxidation states ranging from -1 to +7 shows edge energies spanning from 4560.8 eV to 4572.5 eV. These were used to calibrate the oxidation state of iodine in a unique iron complex of iodosylbenzene (PhIO), [Fe(tpena)OIPh] 2+ (tpena - = N,N,N'-tris(2-pyridylmethyl)ethylenediamine-N'-acetate), which was found to be +1.6. Thus the iodine oxidation state is reduced by 1.4 compared with that in precursor uncoordinated PhIO. On the basis of a combination of X-ray diffraction and Extended X-ray Absorption Fine Structure (EXAFS) spectroscopy, we have determined the unknown crystal structure of PhIO, along with a new phase of iodylbenzene (β-PhIO 2 ) using the Rietveld method. Analogous 1-D chains of halogen bonded [O-IO-I] motifs are the dominant supramolecular interactions between PhIO and PhIO 2 monomers in each structure respectively and the polymeric structures rationalise the general insolubility of these oxygen atom transfer reagents. A double stack of phenyl units in PhIO is found between the layers of the halogen bonded O/I chains. In the case of PhIO, C-Hπ interactions between adjacent phenyl groups result in the alternate phenyl groups lying in parallel planes. Supplementing the strong polymerizing halogen bonds, this supramolecular interaction must exacerbate the insolubility of PhIO. The pillared structure of the new rhombohedral β-PhIO 2 differs significantly from the known monoclinic lamellar phase, α-PhIO 2 , described 36 years ago in which the chains form lamellar stacks [N. W. Alcock and J. F. Sawyer, J. Chem. Soc., Dalton Trans., 1980, 115-120].

  5. A Primer on 3GPP Narrowband Internet of Things (NB-IoT)

    OpenAIRE

    Wang, Y. -P. Eric; Lin, Xingqin; Adhikary, Ansuman; Grövlen, Asbjörn; Sui, Yutao; Blankenship, Yufei; Bergman, Johan; Razaghi, Hazhir S.

    2016-01-01

    Narrowband Internet of Things (NB-IoT) is a new cellular technology introduced in 3GPP Release 13 for providing wide-area coverage for the Internet of Things (IoT). This article provides an overview of the air interface of NB-IoT. We describe how NB-IoT addresses key IoT requirements such as deployment flexibility, low device complexity, long battery life time, support of massive number of devices in a cell, and significant coverage extension beyond existing cellular technologies. We also sha...

  6. Data Collecting and Processing System and Hydraulic Control System of Hydraulic Support Model Test

    Directory of Open Access Journals (Sweden)

    Hong-Yu LIU

    2014-10-01

    Full Text Available Hydraulic support is an important equipment of mechanization caving coal in modernization coal mine. Hydraulic support must pass national strength test before it quantity production and use. Hydraulic support model test based on similarity theory is a new effective hydraulic support design and test method. The test information such as displacement, stress, strain and so on can be generalized to hydraulic support prototype, which can prompt hydraulic support design. In order to satisfy the need of hydraulic support model test, the data collecting and processing system of hydraulic support model test was established, relative software was programmed, the tress computation software of practical measurement data of hydraulic support model test was programmed, which provide practical and convenient research method for hydraulic support model test. By the data collecting and processing system software of hydraulic support model test and related software, user can realize the function such as data collecting, real time display, saving, analysis and processing to strain signals. The construction of load equipment and hydraulic control system of hydraulic support model test provides a practical and convenient research way for hydraulic support model test.

  7. Connected car: Engines diagnostic via Internet of Things (IoT)

    Science.gov (United States)

    Hamid, A. F. A.; Rahman, M. T. A.; Khan, S. F.; Adom, A. H.; Rahim, M. A.; Rahim, N. A.; Ismail, M. H. N.; Norizan, A.

    2017-10-01

    This paper is about an experiment for performing engines diagnostic using wireless sensing Internet of Thing (IoT). The study is to overcome problem of current standard On Board Diagnosis (OBD-II) data acquisition method that only can be perform in offline or wired method. From this paper it show a method to determined how the data from engines can be collected, make the data can be easily understand by human and sending data over the wireless internet connection via platform of IOT. This study is separate into three stages that is CAN-bus data collection, CAN data conversion and send data to cloud storage. Every stage is experimented with a two different method and consist five data parameter that is Revolution per Minute (RPM), Manifold Air Pressure (MAP), load-fuel, barometric pressure and engine temperature. The experiment use Arduino Uno as microcontroller, CAN-bus converter and ESP8266 wifi board as transfer medium for data to internet.

  8. Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data.

    Science.gov (United States)

    Scherer, Emily A; Ben-Zeev, Dror; Li, Zhigang; Kane, John M

    2017-01-12

    Evaluating engagement with an intervention is a key component of understanding its efficacy. With an increasing interest in developing behavioral interventions in the mobile health (mHealth) space, appropriate methods for evaluating engagement in this context are necessary. Data collected to evaluate mHealth interventions are often collected much more frequently than those for clinic-based interventions. Additionally, missing data on engagement is closely linked to level of engagement resulting in the potential for informative missingness. Thus, models that can accommodate intensively collected data and can account for informative missingness are required for unbiased inference when analyzing engagement with an mHealth intervention. The objectives of this paper are to discuss the utility of the joint modeling approach in the analysis of longitudinal engagement data in mHealth research and to illustrate the application of this approach using data from an mHealth intervention designed to support illness management among people with schizophrenia. Engagement data from an evaluation of an mHealth intervention designed to support illness management among people with schizophrenia is analyzed. A joint model is applied to the longitudinal engagement outcome and time-to-dropout to allow unbiased inference on the engagement outcome. Results are compared to a naïve model that does not account for the relationship between dropout and engagement. The joint model shows a strong relationship between engagement and reduced risk of dropout. Using the mHealth app 1 day more per week was associated with a 23% decreased risk of dropout (Pengagement over time was steeper when the joint model was used in comparison with the naïve model. Naïve longitudinal models that do not account for informative missingness in mHealth data may produce biased results. Joint models provide a way to model intensively collected engagement outcomes while simultaneously accounting for the relationship

  9. Singular perturbation analysis of a reduced model for collective motion: a renormalization group approach.

    Science.gov (United States)

    Lee, Chiu Fan

    2011-03-01

    In a system of noisy self-propelled particles with interactions that favor directional alignment, collective motion will appear if the density of particles is beyond a critical density. Starting with a reduced model for collective motion, we determine how the critical density depends on the form of the initial perturbation. Specifically, we employ a renormalization-group improved perturbative method to analyze the model equations and show analytically, up to first order in the perturbation parameter, how the critical density is modified by the strength of the initial angular perturbation in the system.

  10. Surface changes on Io during the Galileo mission

    Science.gov (United States)

    Geissler, P.; McEwen, A.; Phillips, C.; Keszthelyi, L.; Spencer, J.

    2004-01-01

    A careful survey of Galileo SSI global monitoring images revealed more than 80 apparent surface changes that took place on Io during the 5 year period of observation, ranging from giant plume deposits to subtle changes in the color or albedo of Patera surfaces. Explosive volcanic activity was discovered at four previously unrecognized centers: an unnamed patera to the south of Karei that produced a Pele-sized red ring, a patera to the west of Zal that produced a small circular bright deposit, a large orange ring detected near the north pole of Io, and a small bright ring near Io's south pole. Only a handful of Io's many active volcanoes produced large scale explosive eruptions, and several of these erupted repeatedly, leaving at least 83% of Io's surface unaltered throughout the Galileo mission. Most of the hot spots detected from SSI, NIMS and ground-based thermal observations caused no noticeable surface changes greater than 10 km in extent over the five year period. Surface changes were found at every location where active plumes were identified, including Acala which was never seen in sunlight and was only detected through auroral emissions during eclipse. Two types of plumes are distinguished on the basis of the size and color of their deposits, confirming post-Voyager suggestions by McEwen and Soderblom [Icarus 55 (1983) 191]. Smaller plumes produce near-circular rings typically 150-200 km in radius that are white or yellow in color unless contaminated with silicates, and frequently coat their surroundings with frosts of fine-grained SO2. The larger plumes are much less numerous, limited to a half dozen examples, and produce oval, orange or red, sulfur-rich rings with maximum radii in the north-south direction that are typically in the range from 500 to 550 km. Both types of plumes can be either episodic or quasi-continuous over a five year period. Repeated eruptions of the smaller SO2-rich plumes likely contribute significantly to Io's resurfacing rate

  11. Compositional Impact of Io Volcanic Emissions on Jupiter's Magnetosphere and the Icy Galilean Moons

    Science.gov (United States)

    Cooper, John; Fegley, Bruce; Lipatov, Alexander; Richardson, John; Sittler, Edward

    2011-01-01

    measured throughout the jovian magnetosphere and in the local moon environments can act as tracers if we know from direct measurements and models the distributions at the mostly likely sources, i.e. at IO. However, our knowledge of these abundances are very limited from earlier in-situ and remote measurements, mainly confined to major (S, O) and some minor (Na, K, Cl) species with abundances at or above a few percent relative to O. Future in-situ plasma measurements by the planned Jupiter Europa Orbiter and Jupiter Ganymede Orbiter missions should extend the abundance coverage to minor and even trace elemental species. For Europa astrobiological investigations it is also important to specify iogenic inputs and surface processing of isotopic species. We discuss the range of abundance distributions arising from models for IO hot volcanic emissions, and from the subsequent dynamics of ion injection, magnetospheric transport, and icy moon surface bombardment.

  12. 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.

  13. Io. [history of studies and current level of understanding of this satellite

    Science.gov (United States)

    Nash, Douglas B.; Yoder, Charles F.; Carr, Michael H.; Gradie, Jonathan; Hunten, Donald M.

    1986-01-01

    The present work reviews the history of Io studies and describes the current level of understanding of Io's physics, chemistry, geology, orbital dynamics, and geophysics. Consideration is given to the satellite's internal, superficial, atmospheric, plasma, and magnetospheric properties and how they interrelate. A pictorial map of Io's surface based on Voyager 1 and 2 images is presented. It is found that Io's surface color and spectra are dominated by sulfur compounds which may include various sulfur allotropes. Volcanic processes yielding three kinds of surface features (vent regions, plains, and mountains) dominate Io's surface geology. The Io plasma torus corotates with Jupiter's magnetic field in the plane of Jupiter's centrifugal equator centered at Io's orbital radius.

  14. Building A High Performance Parallel File System Using Grid Datafarm and ROOT I/O

    CERN Document Server

    Morita, Y; Watase, Y; Tatebe, Osamu; Sekiguchi, S; Matsuoka, S; Soda, N; Dell'Acqua, A

    2003-01-01

    Sheer amount of petabyte scale data foreseen in the LHC experiments require a careful consideration of the persistency design and the system design in the world-wide distributed computing. Event parallelism of the HENP data analysis enables us to take maximum advantage of the high performance cluster computing and networking when we keep the parallelism both in the data processing phase, in the data management phase, and in the data transfer phase. A modular architecture of FADS/ Goofy, a versatile detector simulation framework for Geant4, enables an easy choice of plug-in facilities for persistency technologies such as Objectivity/DB and ROOT I/O. The framework is designed to work naturally with the parallel file system of Grid Datafarm (Gfarm). FADS/Goofy is proven to generate 10^6 Geant4-simulated Atlas Mockup events using a 512 CPU PC cluster. The data in ROOT I/O files is replicated using Gfarm file system. The histogram information is collected from the distributed ROOT files. During the data replicatio...

  15. Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System.

    Science.gov (United States)

    Wu, Fan; Rüdiger, Christoph; Yuce, Mehmet Rasit

    2017-02-01

    Wireless sensor networks (WSNs) play an increasingly important role in monitoring applications in many areas. With the emergence of the Internet-of-Things (IoT), many more lowpower sensors will need to be deployed in various environments to collect and monitor data about environmental factors in real time. Providing power supply to these sensor nodes becomes a critical challenge for realizations of IoT applications as sensor nodes are normally battery-powered and have a limited lifetime. This paper proposes a wireless sensor network that is powered by solar energy harvesting. The sensor network monitors the environmental data with low-power sensor electronics and forms a network using multiple XBee wireless modules. A detailed performance analysis of the network system under solar energy harvesting has been presented. The sensor network system and the proposed energy-harvesting techniques are configured to achieve a continuous energy source for the sensor network. The proposed energy-harvesting system has been successfully designed to enable an energy solution in order to keep sensor nodes active and reliable for a whole day. The paper also outlines some of our experiences in real-time implementation of a sensor network system with energy harvesting.

  16. Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System

    Directory of Open Access Journals (Sweden)

    Fan Wu

    2017-02-01

    Full Text Available Wireless sensor networks (WSNs play an increasingly important role in monitoring applications in many areas. With the emergence of the Internet-of-Things (IoT, many more lowpower sensors will need to be deployed in various environments to collect and monitor data about environmental factors in real time. Providing power supply to these sensor nodes becomes a critical challenge for realizations of IoT applications as sensor nodes are normally battery-powered and have a limited lifetime. This paper proposes a wireless sensor network that is powered by solar energy harvesting. The sensor network monitors the environmental data with low-power sensor electronics and forms a network using multiple XBee wireless modules. A detailed performance analysis of the network system under solar energy harvesting has been presented. The sensor network system and the proposed energy-harvesting techniques are configured to achieve a continuous energy source for the sensor network. The proposed energy-harvesting system has been successfully designed to enable an energy solution in order to keep sensor nodes active and reliable for a whole day. The paper also outlines some of our experiences in real-time implementation of a sensor network system with energy harvesting.

  17. Radial transport from the Io plasma torus: driven from the inside out or outside in?

    Science.gov (United States)

    Morgenthaler, J. P.; Marconi, M.; Oliversen, R. J.; Woodward, R. C., Jr.

    2016-12-01

    The Io plasma torus (IPT) is much more massive than it should be assuming radial transport was driven by centrifugally driven interchange instability. Two competing hypotheses have been proposed that provide the necessary impounding effect to radial transport of plasma: velocity shear impound and ring current impound. The velocity shear impound hypothesis suggests that the region of subcorotational plasma seen at the outer edge of the IPT impounds the progress of outward-moving flux tubes and processes near the IPT, such as Rayleigh-Taylor instabilities, would govern mass loss from the IPT ("inside out"). The ring current impound mechanism suggests that a population of energetic electrons on the inner edge of the ring current are distributed in energy and density in just the right way to balance the outward pressure of IPT material and processes in the magnetotail, such as reconnection after plasmoid release, would inject energetic particles that would perturb the ring current and let IPT material leak out ("outside in"). In support of the ring current impound mechanism, Louarn et al. (2014) found that roughly half of the time Galileo was sensitive to detecting them, energetic particle injections were coincident with Jovian hectometeric radio radiation (HOM), associated with auroral activity, and new bursts of narrow-band kilometric radiation (nKOM), associated with plasma leaving the vicinity of the IPT. We present new analyses of a large database of ground-based observations of Io's exosphere in [OI] 6300A. Using the IPT model of Smyth & Marconi (1998, 2000), Oliversen et al. (2001) showed the [OI] flux is a reliable proxy for the thermal electron density at Io's position. The Smyth & Marconi model (triangles in Figure) describes Io's [OI] flux well on most nights, except the two for which we have contemporaneous coverage with that of Louarn et al. (2014). These nights show strong evidence of missing mass from the IPT. We suggest that our observations can be used

  18. Improving logistic efficiency of WEEE collection through dynamic scheduling using simulation modeling.

    Science.gov (United States)

    Elia, Valerio; Gnoni, Maria Grazia; Tornese, Fabiana

    2018-02-01

    The complexity of collection systems for Waste from Electric and Electronic Equipment (WEEE) in the EU is increasing, due to the latest directive that sets new collection targets and modes. The high variability and the uncertainty of reverse flows require innovative logistic approaches. One recent option for increasing efficiency and responsiveness in waste collection services, boosted by new technological solutions for waste level monitoring, is to adopt a dynamic collection scheme, where the collection frequency is not established a priori (based on a fixed plan), but it is based on the actual filling levels of waste bins. This option can allow the service provider to plan the collection service following the actual demand, resulting in a more responsive service, while improving the logistic efficiency. This paper evaluates the implementation of dynamic scheduling schemes for the collection of WEEE. A hybrid simulation model has been developed in order to support researchers and practitioners in assessing quantitative impacts of adopting dynamic scheduling in WEEE collection. Three logistic alternatives (a fixed collection schedule scheme, a pure dynamic scheme and a mixed one) have been compared in a test case based on data of an Italian municipality; collection services for different types of WEEE (i.e. large appliances and small items) have been analyzed. Results show a promising performance of dynamic schedules compared to the fixed one, revealing, for the specific test case, how a mixed solution can combine the advantages of dynamic and fixed scheduling, gaining flexibility towards customer demand while improving truck resource utilization. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Volcanism on Io: New insights from global geologic mapping

    Science.gov (United States)

    Williams, David A.; Keszthelyi, Laszlo P.; Crown, David A.; Yff, Jessica A.; Jaeger, Windy L.; Schenk, Paul M.; Geissler, Paul E.; Becker, Tammy L.

    2011-07-01

    We produced the first complete, 1:15 M-scale global geologic map of Jupiter's moon Io, based on a set of monochrome and color Galileo- Voyager image mosaics produced at a spatial resolution of 1 km/pixel. The surface of Io was mapped into 19 units based on albedo, color and surface morphology, and is subdivided as follows: plains (65.8% of surface), lava flow fields (28.5%), mountains (3.2%), and patera floors (2.5%). Diffuse deposits (DD) that mantle the other units cover ˜18% of Io's surface, and are distributed as follows: red (8.6% of surface), white (6.9%), yellow (2.1%), black (0.6%), and green (˜0.01%). Analyses of the geographical and areal distribution of these units yield a number of results, summarized below. (1) The distribution of plains units of different colors is generally geographically constrained: Red-brown plains occur >±30° latitude, and are thought to result from enhanced alteration of other units induced by radiation coming in from the poles. White plains (possibly dominated by SO 2 + contaminants) occur mostly in the equatorial antijovian region (±30°, 90-230°W), possibly indicative of a regional cold trap. Outliers of white, yellow, and red-brown plains in other regions may result from long-term accumulation of white, yellow, and red diffuse deposits, respectively. (2) Bright (possibly sulfur-rich) flow fields make up 30% more lava flow fields than dark (presumably silicate) flows (56.5% vs. 43.5%), and only 18% of bright flow fields occur within 10 km of dark flow fields. These results suggest that secondary sulfurous volcanism (where a bright-dark association is expected) could be responsible for only a fraction of Io's recent bright flows, and that primary sulfur-rich effusions could be an important component of Io's recent volcanism. An unusual concentration of bright flows at ˜45-75°N, ˜60-120°W could be indicative of more extensive primary sulfurous volcanism in the recent past. However, it remains unclear whether most

  20. Infrared observations of eclipses of Io, its thermophysical parameters, and the thermal radiation of the Loki volcano and environs

    Science.gov (United States)

    Sinton, William M.; Kaminski, Charles

    1988-01-01

    Observations of Io during eclipses by Jupiter in 1981-1984 are reported. Data obtained at 3.45-30 microns using bolometer system No. 1 on the 3-m IRTF telescope at Mauna Kea are presented in extensive tables and graphs and analyzed by means of least-squares fitting of thermophysical models to the eclipse cooling and heating curves, thermal-radiation calculations for the Io volcanoes, and comparison with Voyager data. Best fits are obtained for a model comprising (1) a bright region with a vertically inhomogeneous surface and (2) a dark vertically homogeneous region with thermal inertia only about 0.1 times that of (1). Little evidence of volcanic-flux variability during the period is found, and the majority (but not all) of the excess thermal IR radiation in the sub-Jovian hemisphere is attributed to the Loki volcano and its lava lake.

  1. Virtual model of an automated system for the storage of collected waste

    Directory of Open Access Journals (Sweden)

    Enciu George

    2017-01-01

    Full Text Available One of the problems identified in waste collection integrated systems is the storage space. The design process of an automated system for the storage of collected waste includes finding solutions for the optimal exploitation of the limited storage space, seen that the equipment for the loading, identification, transport and transfer of the waste covers most of the available space inside the integrated collection system. In the present paper a three-dimensional model of an automated storage system designed by the authors for a business partner is presented. The storage system can be used for the following types of waste: plastic and glass recipients, aluminium cans, paper, cardboard and WEEE (waste electrical and electronic equipment. Special attention has been given to the transfer subsystem, specific for the storage system, which should be able to transfer different types and shapes of waste. The described virtual model of the automated system for the storage of collected waste will be part of the virtual model of the entire integrated waste collection system as requested by the beneficiary.

  2. Modeling collective human mobility: Understanding exponential law of intra-urban movement

    CERN Document Server

    Liang, Xiao; Dong, Li; Xu, Ke

    2013-01-01

    It is very important to understand urban mobility patterns because most trips are concentrated in urban areas. In the paper, a new model is proposed to model collective human mobility in urban areas. The model can be applied to predict individual flows not only in intra-city but also in countries or a larger range. Based on the model, it can be concluded that the exponential law of distance distribution is attributed to decreasing exponentially of average density of human travel demands. Since the distribution of human travel demands only depends on urban planning, population distribution, regional functions and so on, it illustrates that these inherent properties of cities are impetus to drive collective human movements.

  3. Collective motion of motile cilia: from human airways to model systems

    Science.gov (United States)

    Cicuta, Pietro; Feriani, Luigi; Chioccioli, Maurizio; Kotar, Jurij

    Mammalian airways are a fantastic playground of nonlinear phenomena, from the function of individual active filaments, to the emerging collective behaviour, to the rheology of the mucus solution surrounding cilia. We have been investigating the fundamental physics of this system through a variety of model system approaches, both experimental and computational. In the last year we have started measurements on living human cells, observing cilia shape during beating, and measuring speed and coherence of the collective dynamics. We report on significant differences in the collective motion in ciliated cell carpets from a variety of diseases, and we attempt to reconcile the collective dynamical phenotypes to the properties of individual filaments and the mechanics of the environment.

  4. Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.

    Directory of Open Access Journals (Sweden)

    Graciano Dieck Kattas

    Full Text Available Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals may be inferred.

  5. Modeling Urban Scenarios & Experiments: Fort Indiantown Gap Data Collections Summary and Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Archer, Daniel E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Bandstra, Mark S. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Davidson, Gregory G. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Cleveland, Steven L. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Garishvili, Irakli [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Hornback, Donald E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Johnson, Jeffrey O. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); McLean, M. S. Lance [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Nicholson, Andrew D. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Patton, Bruce W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Peplow, Douglas E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Plionis, Alexander A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Quiter, Brian J. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Ray, Will R. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Rowe, Andrew J. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Swinney, Mathew W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Willis, Michael J. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2017-10-01

    This report summarizes experimental radiation detector, contextual sensor, weather, and global positioning system (GPS) data collected to inform and validate a comprehensive, operational radiation transport modeling framework to evaluate radiation detector system and algorithm performance. This framework will be used to study the influence of systematic effects (such as geometry, background activity, background variability, environmental shielding, etc.) on detector responses and algorithm performance using synthetic time series data. This work consists of performing data collection campaigns at a canonical, controlled environment for complete radiological characterization to help construct and benchmark a high-fidelity model with quantified system geometries, detector response functions, and source terms for background and threat objects. This data also provides an archival, benchmark dataset that can be used by the radiation detection community. The data reported here spans four data collection campaigns conducted between May 2015 and September 2016.

  6. Exploring the dynamics of collective cognition using a computational model of cognitive dissonance

    Science.gov (United States)

    Smart, Paul R.; Sycara, Katia; Richardson, Darren P.

    2013-05-01

    The socially-distributed nature of cognitive processing in a variety of organizational settings means that there is increasing scientific interest in the factors that affect collective cognition. In military coalitions, for example, there is a need to understand how factors such as communication network topology, trust, cultural differences and the potential for miscommunication affects the ability of distributed teams to generate high quality plans, to formulate effective decisions and to develop shared situation awareness. The current paper presents a computational model and associated simulation capability for performing in silico experimental analyses of collective sensemaking. This model can be used in combination with the results of human experimental studies in order to improve our understanding of the factors that influence collective sensemaking processes.

  7. The surface of Io - Geologic units, morphology, and tectonics

    Science.gov (United States)

    Schaber, G. G.

    1980-09-01

    The geologic units, morphology and tectonics evident on a preliminary geological map obtained from best-resolution Voyager 1 images and a preliminary pictorial map of the surface of Io are discussed. Nine volcanic units are identified on the surface which are composed of mountain materials, intervent, layered and eroded layered plains, and wall and floor, pit crater flow, shield crater flow, fissure flow and crater cone units associated with volcanic vents, along with seven types of structural features. The cumulative volcanic crater size distribution of 170 Ionian vents with craters greater than 14 km is similar to that of impact craters on other solar system bodies, with a surplus of small craters and a preponderance of volcanic vents in the Io equatorial zone. The observed surface morphologies provide evidence for a mixture of silicates and sulfur as the dominant surface material. Lineaments and grabens are also apparent on the surface, in a common planetary grid pattern.

  8. Mapping of the Culann-Tohil Region of Io

    Science.gov (United States)

    Turtle, E. P.; Keszthelyi, L. P.; Jaeger, W. L.; Radebaugh, J.; Milazzo, M. P.; McEwen, A. S.; Moore, J. M.; Schenk, P. M.; Lopes, R. M. C.

    2003-01-01

    The Galileo spacecraft completed its observations of Jupiter's volcanic moon Io in October 2001 with the orbit I32 flyby, during which new local (13-55 m/pixel) and regional (130-400 m/pixel) resolution images and spectroscopic data were returned of the antijovian hemisphere. We have combined a I32 regional mosaic (330 m/pixel) with lower-resolution C21 color data (1.4 km/pixel, Figure 1) and produced a geomorphologic map of the Culann-Tohil area of this hemisphere. Here we present the geologic features, map units, and structures in this region, and give preliminary conclusions about geologic activity for comparison with other regions to better understand Io's geologic evolution.

  9. Optical fiber sensors for IoT and smart devices

    CERN Document Server

    Domingues, Maria de Fátima F

    2017-01-01

    This brief provides a review of the evolution of optical fiber sensing solutions and related applications. Unique production methods are presented and discussed, highlighting their evolution and analyzing their complexity. Under this scope, this brief presents the existing silica optical fiber sensors and polymer optical fiber sensors solutions, comparing its field of action (sensitivity, accuracy), complexity of manufacture and economic cost. Special attention is given to low-cost production methods. This brief evaluates the different existing techniques, assessing the accuracy and suitability of these sensors for possible Internet of Things (IoT) integration in different considered scenarios. Critical analytical techniques, also covered in this brief, are expected to play a key role in the world of IoT and the smart city of tomorrow.

  10. Izrada 2D video igre za iOS platformu

    OpenAIRE

    Kampuš, Dominik

    2016-01-01

    Tema ovog završnog rada temelji se na izradi 2D video igre za iOS mobilni uređaj te njezinoj demonstraciji na istom. Kroz rad su opisane sve bitne funkcije GameSalad Creator-a koje su potrebne kod izrade igre bazirane na 2 dimenzije. Također se prolazi kroz iOS operativni sustav, što je on i kako se razvijao. Spominje se i tema koja govori općenito o igrama na mobilnim uređajima. U završnom dijelu rada prikazan je postupak izrade, koje funkcije programa se točno koriste i kako se igra može te...

  11. Beginning iPhone 4 Development Exploring the IOS SDK

    CERN Document Server

    Nutting, Jack; LaMarche, Jeff

    2011-01-01

    The authors of the bestselling Beginning iPhone 3 Development are back, with the same excellent material completely updated for iOS 4 and written from the ground up using the latest version of Apple's Xcode 3. All source code has been updated to use the latest Xcode templates and current APIs, and all-new screenshots show Xcode 3 in action. Beginning iPhone 4 Development is a complete course in iOS development. You'll master techniques that work on iPhone, iPad, and iPod touch. We start with the basics, showing you how to download and install the tools you'll need, and how to create your first

  12. Conflict measures in cooperative exchange models of collective decision-making

    NARCIS (Netherlands)

    van Assen, Marcel; Stokman, Frans; van Oosten, Reinier

    This study focuses on externalities of exchanges of voting positions in collective decision-making. Exchanges are represented by nonconstant two-person cooperative games. It is assumed that the rate of exchange is specified by the Raiffa-Kalai-Smorodinsky solution, and a model is specified to

  13. The forming of shared cognition in business ecosystems: collective sensemaking and its influence on mental models

    NARCIS (Netherlands)

    Gooyert, V. de; Rouwette, E.A.J.A.; Kranenburg, H.L. van; Freeman, R.; Breen, H.J. van

    2014-01-01

    Mental models tend to converge within organizations and this hinders cooperation across organizations. For a business ecosystem to be effective, it is therefore crucial to build shared cognition between the partnering organizations. Collective sensemaking has been suggested to play an important role

  14. Self-organized energetic model for collective activity on animal tissue

    Science.gov (United States)

    Dos Santos, Michelle C. Varela; Macedo-Filho, Antonio; Dos Santos Lima, Gustavo Zampier; Corso, Gilberto

    We construct a self-organized critical (SOC) model to explain spontaneous collective activity in animal tissue without the necessity of a muscular or a central control nervous system. Our prototype model is an epithelial cuboid tissue formed by a single layer of cells as the internal digestive cavity of primitive animals. The tissue is composed by cells that absorb nutrients and store energy, with probability p, to participate in a collective tissue activity. Each cell can be in two states: at high energy and able to became active or at low metabolic energy and remain at rest. Any cell can spontaneously, with a very low probability, spark a collective activity across its neighbors that share a minimal energy. Cells participating in tissue activity consume all their energy. A power-law relation P(s)∝sγ for the probability of having a collective activity with s cells is observed. By construction this model is analogue to the forest fire SOC model. Our approach produces naturally a critical state for the activity in animal tissue, besides it explains self-sustained activity in a living animal tissue without feedback control.

  15. Modelling collective foraging by means of individual behaviour rules in honey-bees

    NARCIS (Netherlands)

    Vries, Han de; Biesmeijer, J.C.

    1998-01-01

    An individual-oriented model is constructed which simulates the collective foraging behaviour of a colony of honey-bees, Apis mellifera. Each bee follows the same set of behavioural rules. Each rule consists of a set of conditions followed by the behavioural act to be performed if the

  16. Modelling collective foraging by means of individual behaviour rules in honey-bees

    NARCIS (Netherlands)

    de Vries, H; Biesmeijer, JC

    1998-01-01

    An individual-oriented model is constructed which simulates the collective foraging behaviour of a colony of honey-bees, Apis mellifera. Each bee follows the same set of behavioural rules. Each rule consists of a set of conditions followed by the behavioural act to be performed if the conditions are

  17. Analysis of establishing back-end system for mobile devices IOS and Android on Google App Engine platform

    OpenAIRE

    Kambič, Dušan

    2013-01-01

    The following thesis discusses the Google App Engine (GAE), in relation to Google Cloud Endpoints (GCE). GAE is an example of cloud computing model, which is called Platform as a Service (PaaS). It enables developers to develop and host scalable applications on Google's infrastructure. The companies can hire the right amount of server resources for current needs, thereby reducing business costs. For developed GAE applications we can automatically generate libraries for Android, iOS and Javasc...

  18. The Extremes of Volcanic Activity: Earth and Jupiter's Moon Io

    Science.gov (United States)

    Lowes, L. L.; Lopes, R.

    2004-12-01

    Jupiter's moon Io is the solar system's most volcanically active body, and the only place that magmatic volcanic eruptions have been observed beyond Earth. One of the first images of Io obtained by NASA's Voyager 1 spacecraft in 1979 shows a plume above one of its volcanoes. The NASA Voyager and Galileo spacecraft imaged many explosive eruptions of plumes and deposits - which travel hundreds of kilometers (farther than on the Earth or the Moon). Very hot lavas that are erupting from volcanic vents on Io may be similar to lavas that erupted on Earth billions of years ago. Understanding the physical processes driving volcanic eruptions is important for the understanding of terrestrial volcanoes, not only because of their potential hazards, but also as geologic resources, biologic environments, and for their role in shaping the surface of Earth and other planets. Volcanic eruptions are perhaps the most dramatic events on Earth, and are of intrinsic interest to students, youth, and adults. Topics involving volcanoes are a part of the national science education benchmarks for understanding the Earth's composition and structure for grades 6-8 (the process of creating landforms) and grades 9-12 (the effects of movement of crustal plates). Natural events on Earth coupled with exciting discoveries in space can serve to heighten the awareness of these phenomena and provide learning opportunities for real world applications of science. Educational applications for youth to compare volcanic activity on Io and Earth have been done through NASA-sponsored field trip workshops to places such as Yellowstone National Park (allowing educators to experience environments similar to those on other worlds), targeted classroom and hands-on activities, special interest books, and other resources. A sampling of such activities will be presented, and discussion invited on other related developmentally appropriate resources and activities.

  19. The Io syndrome: symptom formation in victims of sexual abuse.

    Science.gov (United States)

    Mayr, S; Price, J L

    1990-01-01

    The sexual abuse of women today is analyzed alongside the mythology of Ovid's Metamorphoses. Two thousand years ago, Ovid unfolded a world view of human beliefs and practices that make up today's symptom formation and psychodynamic in victims of sexual abuse. Herewith the mythology of Io. Her rape and subsequent symptom formation is understood as a clinical account of rape-trauma syndrome and post-traumatic stress disorder.

  20. Distributed Danger Assessment Model for the Internet of Things Based on Immunology

    OpenAIRE

    Run Chen; Jiliu Zhou; Caiming Liu

    2013-01-01

    The Internet of Things (IoT) confronts complicated and changeful security threats. It harms IoT and brings IoT potential danger. However, the research achievements of the danger assessment technology for IoT are rare. To calculate the danger value of IoT with many dispersive sense nodes, the theoretical model of distributed danger assessment for IoT is explored in this paper. The principles and mechanisms of Artificial Immune System (AIS) are introduced into the proposed model. Data packets i...

  1. Scientific Data Services -- A High-Performance I/O System with Array Semantics

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Kesheng; Byna, Surendra; Rotem, Doron; Shoshani, Arie

    2011-09-21

    As high-performance computing approaches exascale, the existing I/O system design is having trouble keeping pace in both performance and scalability. We propose to address this challenge by adopting database principles and techniques in parallel I/O systems. First, we propose to adopt an array data model because many scientific applications represent their data in arrays. This strategy follows a cardinal principle from database research, which separates the logical view from the physical layout of data. This high-level data model gives the underlying implementation more freedom to optimize the physical layout and to choose the most effective way of accessing the data. For example, knowing that a set of write operations is working on a single multi-dimensional array makes it possible to keep the subarrays in a log structure during the write operations and reassemble them later into another physical layout as resources permit. While maintaining the high-level view, the storage system could compress the user data to reduce the physical storage requirement, collocate data records that are frequently used together, or replicate data to increase availability and fault-tolerance. Additionally, the system could generate secondary data structures such as database indexes and summary statistics. We expect the proposed Scientific Data Services approach to create a “live” storage system that dynamically adjusts to user demands and evolves with the massively parallel storage hardware.

  2. IoT: Their Conveniences, Security Challenges and Possible Solutions

    Directory of Open Access Journals (Sweden)

    Davar Pishva

    2017-07-01

    Full Text Available The build-in internet-controlled functions of smart devices such as smart phone, smart television, home healthcare gadget, etc., have made them quite attractive to many segments of consumers. In recent years mankind has witnessed an upsurge usage of such devices for numerous purposes. In this paper, the author is going to show how previously forecasted security challenges of these devices are becoming realities in the present day life. The paper initially provides some introductory information about the topic, mostly by means of survey and citations of previous work. It then highlights the devastating effects of October 21, 2016 DDoS attack which mainly utilized IoT devices. It emphasizes the danger of recently revealed Mirai IoT botnet which serves as the basis for the DDoS-for-hire ‘booter’/ ‘stresser’ service. In terms of counter measures, after highlighting IoT security implementation challenges, numerous approaches are presented. As a long-term solution, an architecture wherein security issues are managed through universal home gateway by network operators in a product based fashion is emphasized. The author shows its technical feasibility and demonstrates its partial materialization in proprietary manners. It then explains why and how numerous stake holders are needed to get together for its wide range commercial implementation. Some immediate necessary safeguard actions and intermediate schemes which include soft infrastructures are also presented for the purpose of risk reduction.

  3. QAaaS in a Cloud IoT Ecosystem

    Directory of Open Access Journals (Sweden)

    Bogdan GHILIC-MICU

    2017-01-01

    Full Text Available The current transition state of the global society, both from economic and (mostly technological perspective, goes – again – into overtime. Borrowed from fundamental domains and applied into science and research, the latest technological developments are built on graphene, silicene, phosphorene and stanene. The fourth industrial revolution changes perceptions and redefines the status of the individual, transforming him from con-sumer into pro-sumer of energy. Spintronics stimulates the production of accessories specific to the Internet of Things (IoT, like smart clothes connected to internet and implanted phones. Additionally, technology influences software development methodologies facing us with paradigms that transcend philosophies like green, grid, cloud computing and advance toward a superior manifestation of computer programming: Fog Computing (with the next level being presumably Rainbow Computing. Within this avalanche of transformations, technologies and paradigms, one aspect that has to evolve continuously is the quality assurance (QA. Hidden under various concept or methodology encapsulations, quality assurance in all fields and mostly in technological development and software paradigm play a key role. In an ecosystem defined by the context of Cloud IoT, quality assurance as service becomes a real challenge. In this paper we highlight the ways the ecosystem engages in its development not only things, beings, energies, sensors or objects but also technologies. One such popular technology is cloud computing which, in the context of IoT, sees a spectacular development of its own cluster of services, a potential such service being QAaaS.

  4. IoT real time data acquisition using MQTT protocol

    Science.gov (United States)

    Atmoko, R. A.; Riantini, R.; Hasin, M. K.

    2017-05-01

    The Internet of Things (IoT) provides ease to monitor and to gain sensor data through the Internet [1]. The need of high quality data is increasing to the extent that data monitoring and acquisition system in real time is required, such as smart city or telediagnostic in medical areas [2]. Therefore, an appropriate communication protocol is required to resolve these problems. Lately, researchers have developed a lot of communication protocols for IoT, of which each has advantages and disadvantages. This study proposes the utilization of MQTT as a communication protocol, which is one of data communication protocols for IoT. This study used temperature and humidity sensors because the physical parameters are often needed as parameters of environment condition [3]. Data acquisition was done in real-time and stored in MySQL database. This study is also completed by interface web-based and mobile for online monitoring. This result of this study is the enhancement of data quality and reliability using MQTT protocol.

  5. An IoT Reader for Wireless Passive Electromagnetic Sensors.

    Science.gov (United States)

    Galindo-Romera, Gabriel; Carnerero-Cano, Javier; Martínez-Martínez, José Juan; Herraiz-Martínez, Francisco Javier

    2017-03-28

    In the last years, many passive electromagnetic sensors have been reported. Some of these sensors are used for measuring harmful substances. Moreover, the response of these sensors is usually obtained with laboratory equipment. This approach highly increases the total cost and complexity of the sensing system. In this work, a novel low-cost and portable Internet-of-Things (IoT) reader for passive wireless electromagnetic sensors is proposed. The reader is used to interrogate the sensors within a short-range wireless link avoiding the direct contact with the substances under test. The IoT functionalities of the reader allows remote sensing from computers and handheld devices. For that purpose, the proposed design is based on four functional layers: the radiating layer, the RF interface, the IoT mini-computer and the power unit. In this paper a demonstrator of the proposed reader is designed and manufactured. The demonstrator shows, through the remote measurement of different substances, that the proposed system can estimate the dielectric permittivity. It has been demonstrated that a linear approximation with a small error can be extracted from the reader measurements. It is remarkable that the proposed reader can be used with other type of electromagnetic sensors, which transduce the magnitude variations in the frequency domain.

  6. HOCOMOCO: A comprehensive collection of human transcription factor binding sites models

    KAUST Repository

    Kulakovskiy, Ivan V.

    2012-11-21

    Transcription factor (TF) binding site (TFBS) models are crucial for computational reconstruction of transcription regulatory networks. In existing repositories, a TF often has several models (also called binding profiles or motifs), obtained from different experimental data. Having a single TFBS model for a TF is more pragmatic for practical applications. We show that integration of TFBS data from various types of experiments into a single model typically results in the improved model quality probably due to partial correction of source specific technique bias. We present the Homo sapiens comprehensive model collection (HOCOMOCO, http://autosome.ru/HOCOMOCO/, http://cbrc.kaust.edu.sa/ hocomoco/) containing carefully hand-curated TFBS models constructed by integration of binding sequences obtained by both low- and high-throughput methods. To construct position weight matrices to represent these TFBS models, we used ChIPMunk software in four computational modes, including newly developed periodic positional prior mode associated with DNA helix pitch. We selected only one TFBS model per TF, unless there was a clear experimental evidence for two rather distinct TFBS models. We assigned a quality rating to each model. HOCOMOCO contains 426 systematically curated TFBS models for 401 human TFs, where 172 models are based on more than one data source. The Author(s) 2012.

  7. HOCOMOCO: a comprehensive collection of human transcription factor binding sites models.

    Science.gov (United States)

    Kulakovskiy, Ivan V; Medvedeva, Yulia A; Schaefer, Ulf; Kasianov, Artem S; Vorontsov, Ilya E; Bajic, Vladimir B; Makeev, Vsevolod J

    2013-01-01

    Transcription factor (TF) binding site (TFBS) models are crucial for computational reconstruction of transcription regulatory networks. In existing repositories, a TF often has several models (also called binding profiles or motifs), obtained from different experimental data. Having a single TFBS model for a TF is more pragmatic for practical applications. We show that integration of TFBS data from various types of experiments into a single model typically results in the improved model quality probably due to partial correction of source specific technique bias. We present the Homo sapiens comprehensive model collection (HOCOMOCO, http://autosome.ru/HOCOMOCO/, http://cbrc.kaust.edu.sa/hocomoco/) containing carefully hand-curated TFBS models constructed by integration of binding sequences obtained by both low- and high-throughput methods. To construct position weight matrices to represent these TFBS models, we used ChIPMunk software in four computational modes, including newly developed periodic positional prior mode associated with DNA helix pitch. We selected only one TFBS model per TF, unless there was a clear experimental evidence for two rather distinct TFBS models. We assigned a quality rating to each model. HOCOMOCO contains 426 systematically curated TFBS models for 401 human TFs, where 172 models are based on more than one data source.

  8. geomIO: A tool for geodynamicists to turn 2D cross-sections into 3D geometries

    Science.gov (United States)

    Baumann, Tobias; Bauville, Arthur

    2016-04-01

    In numerical deformation models, material properties are usually defined on elements (e.g., in body-fitted finite elements), or on a set of Lagrangian markers (Eulerian, ALE or mesh-free methods). In any case, geometrical constraints are needed to assign different material properties to the model domain. Whereas simple geometries such as spheres, layers or cuboids can easily be programmed, it quickly gets complex and time-consuming to create more complicated geometries for numerical model setups, especially in three dimensions. geomIO (geometry I/O, http://geomio.bitbucket.org/) is a MATLAB-based library that has two main functionalities. First, it can be used to create 3D volumes based on series of 2D vector drawings similar to a CAD program; and second, it uses these 3D volumes to assign material properties to the numerical model domain. The drawings can conveniently be created using the open-source vector graphics software Inkscape. Adobe Illustrator is also partially supported. The drawings represent a series of cross-sections in the 3D model domain, for example, cross-sectional interpretations of seismic tomography. geomIO is then used to read the drawings and to create 3D volumes by interpolating between the cross-sections. In the second part, the volumes are used to assign material phases to markers inside the volumes. Multiple volumes can be created at the same time and, depending on the order of assignment, unions or intersections can be built to assign additional material phases. geomIO also offers the possibility to create 3D temperature structures for geodynamic models based on depth dependent parameterisations, for example the half space cooling model. In particular, this can be applied to geometries of subducting slabs of arbitrary shape. Yet, geomIO is held very general, and can be used for a variety of applications. We present examples of setup generation from pictures of micro-scale tectonics and lithospheric scale setups of 3D present-day model

  9. A comparison of the characteristics of iOS and Android users of a smoking cessation app.

    Science.gov (United States)

    Ubhi, Harveen Kaur; Kotz, Daniel; Michie, Susan; van Schayck, Onno C P; West, Robert

    2017-06-01

    iOS and Android smartphone users may differ in ways that affect their use and likelihood of success when using a smoking cessation application (app). If so, it may be necessary to take the device type (iOS and Android) into account when designing smoking cessation apps and in studies evaluating app effectiveness. How do socio-demographic and smoking characteristics, potentially relevant to engagement and cessation outcomes, of the SF28 app users differ between those using the iOS version and those using the Android version? Data were collected between October 2013 and April 2015. The variables measured were age, gender, social grade, time since the most recent quit attempt, choice of medication use (nicotine replacement therapy or varenicline), weekly expenditure on cigarettes, cigarettes smoked per day, reason for using the app and quit date set. The alpha was set to p Android device users were similar in terms of age, social grade, weekly expenditure on cigarettes and cigarettes smoked per day. Compared with Android users, iOS users were more likely to have downloaded the app for a serious quit attempt (74.3 versus 69.6%, p = 0.001), made a quit attempt within the last 12 months (59.6 versus 45.9%, p Android version may influence quit success.

  10. Open IoT Ecosystem for Enhanced Interoperability in Smart Cities—Example of Métropole De Lyon

    Directory of Open Access Journals (Sweden)

    Jérémy Robert

    2017-12-01

    Full Text Available The Internet of Things (IoT has promised a future where everything gets connected. Unfortunately, building a single global ecosystem of Things that communicate with each other seamlessly is virtually impossible today. The reason is that the IoT is essentially a collection of isolated “Intranets of Things”, also referred to as “vertical silos”, which cannot easily and efficiently interact with each other. Smart cities are perhaps the most striking examples of this problem since they comprise a wide range of stakeholders and service providers who must work together, including urban planners, financial organisations, public and private service providers, telecommunication providers, industries, citizens, and so forth. Within this context, the contribution of this paper is threefold: (i discuss business and technological implications as well as challenges of creating successful open innovation ecosystems, (ii present the technological building blocks underlying an IoT ecosystem developed in the framework of the EU Horizon 2020 programme, (iii present a smart city pilot (Heat Wave Mitigation in Métropole de Lyon for which the proposed ecosystem significantly contributes to improving interoperability between a number of system components, and reducing regulatory barriers for joint service co-creation practices.

  11. Open IoT Ecosystem for Enhanced Interoperability in Smart Cities—Example of Métropole De Lyon

    Science.gov (United States)

    Robert, Jérémy; Kolbe, Niklas; Cerioni, Alessandro; Gastaud, Emmanuel

    2017-01-01

    The Internet of Things (IoT) has promised a future where everything gets connected. Unfortunately, building a single global ecosystem of Things that communicate with each other seamlessly is virtually impossible today. The reason is that the IoT is essentially a collection of isolated “Intranets of Things”, also referred to as “vertical silos”, which cannot easily and efficiently interact with each other. Smart cities are perhaps the most striking examples of this problem since they comprise a wide range of stakeholders and service providers who must work together, including urban planners, financial organisations, public and private service providers, telecommunication providers, industries, citizens, and so forth. Within this context, the contribution of this paper is threefold: (i) discuss business and technological implications as well as challenges of creating successful open innovation ecosystems, (ii) present the technological building blocks underlying an IoT ecosystem developed in the framework of the EU Horizon 2020 programme, (iii) present a smart city pilot (Heat Wave Mitigation in Métropole de Lyon) for which the proposed ecosystem significantly contributes to improving interoperability between a number of system components, and reducing regulatory barriers for joint service co-creation practices. PMID:29292719

  12. Open IoT Ecosystem for Enhanced Interoperability in Smart Cities-Example of Métropole De Lyon.

    Science.gov (United States)

    Robert, Jérémy; Kubler, Sylvain; Kolbe, Niklas; Cerioni, Alessandro; Gastaud, Emmanuel; Främling, Kary

    2017-12-08

    The Internet of Things (IoT) has promised a future where everything gets connected. Unfortunately, building a single global ecosystem of Things that communicate with each other seamlessly is virtually impossible today. The reason is that the IoT is essentially a collection of isolated "Intranets of Things", also referred to as "vertical silos", which cannot easily and efficiently interact with each other. Smart cities are perhaps the most striking examples of this problem since they comprise a wide range of stakeholders and service providers who must work together, including urban planners, financial organisations, public and private service providers, telecommunication providers, industries, citizens, and so forth. Within this context, the contribution of this paper is threefold: (i) discuss business and technological implications as well as challenges of creating successful open innovation ecosystems, (ii) present the technological building blocks underlying an IoT ecosystem developed in the framework of the EU Horizon 2020 programme, (iii) present a smart city pilot (Heat Wave Mitigation in Métropole de Lyon ) for which the proposed ecosystem significantly contributes to improving interoperability between a number of system components, and reducing regulatory barriers for joint service co-creation practices.

  13. The Theory of Timed IO Automata

    CERN Document Server

    Kaynar, Dilsun; Segala, Roberto

    2010-01-01

    This monograph presents the Timed Input/Output Automaton (TIOA) modeling framework, a basic mathematical framework to support description and analysis of timed (computing) systems. Timed systems are systems in which desirable correctness or performance properties of the system depend on the timing of events, not just on the order of their occurrence. Timed systems are employed in a wide range of domains including communications, embedded systems, real-time operating systems, and automated control. Many applications involving timed systems have strong safety, reliability, and predictability req

  14. Task-Level Data Model for Hardware Synthesis Based on Concurrent Collections

    Directory of Open Access Journals (Sweden)

    Jason Cong

    2012-01-01

    Full Text Available The ever-increasing design complexity of modern digital systems makes it necessary to develop electronic system-level (ESL methodologies with automation and optimization in the higher abstraction level. How the concurrency is modeled in the application specification plays a significant role in ESL design frameworks. The state-of-art concurrent specification models are not suitable for modeling task-level concurrent behavior for the hardware synthesis design flow. Based on the concurrent collection (CnC model, which provides the maximum freedom of task rescheduling, we propose task-level data model (TLDM, targeted at the task-level optimization in hardware synthesis for data processing applications. Polyhedral models are embedded in TLDM for concise expression of task instances, array accesses, and dependencies. Examples are shown to illustrate the advantages of our TLDM specification compared to other widely used concurrency specifications.

  15. Models in animal collective decision-making: information uncertainty and conflicting preferences.

    Science.gov (United States)

    Conradt, Larissa

    2012-04-06

    Collective decision-making plays a central part in the lives of many social animals. Two important factors that influence collective decision-making are information uncertainty and conflicting preferences. Here, I bring together, and briefly review, basic models relating to animal collective decision-making in situations with information uncertainty and in situations with conflicting preferences between group members. The intention is to give an overview about the different types of modelling approaches that have been employed and the questions that they address and raise. Despite the use of a wide range of different modelling techniques, results show a coherent picture, as follows. Relatively simple cognitive mechanisms can lead to effective information pooling. Groups often face a trade-off between decision accuracy and speed, but appropriate fine-tuning of behavioural parameters could achieve high accuracy while maintaining reasonable speed. The right balance of interdependence and independence between animals is crucial for maintaining group cohesion and achieving high decision accuracy. In conflict situations, a high degree of decision-sharing between individuals is predicted, as well as transient leadership and leadership according to needs and physiological status. Animals often face crucial trade-offs between maintaining group cohesion and influencing the decision outcome in their own favour. Despite the great progress that has been made, there remains one big gap in our knowledge: how do animals make collective decisions in situations when information uncertainty and conflict of interest operate simultaneously?

  16. Analytical model of particle and heat flux collection by dust immersed in dense magnetized plasmas

    Science.gov (United States)

    Vignitchouk, L.; Ratynskaia, S.; Tolias, P.

    2017-10-01

    A comprehensive analytical description is presented for the particle and heat fluxes collected by dust in dense magnetized plasmas. Compared to the widely used orbital motion limited theory, the suppression of cross-field transport leads to a strong reduction of the electron fluxes, while ion collection is inhibited by thin-sheath effects and the formation of a potential overshoot along the field lines. As a result, the incoming heat flux loses its sensitivity to the floating potential, thereby diminishing the importance of electron emission processes in dust survivability. Numerical simulations implementing the new model for ITER-like detached divertor plasmas predict a drastic enhancement of the dust lifetime.

  17. HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models

    KAUST Repository

    Kulakovskiy, Ivan V.

    2015-11-19

    Models of transcription factor (TF) binding sites provide a basis for a wide spectrum of studies in regulatory genomics, from reconstruction of regulatory networks to functional annotation of transcripts and sequence variants. While TFs may recognize different sequence patterns in different conditions, it is pragmatic to have a single generic model for each particular TF as a baseline for practical applications. Here we present the expanded and enhanced version of HOCOMOCO (http://hocomoco.autosome.ru and http://www.cbrc.kaust.edu.sa/hocomoco10), the collection of models of DNA patterns, recognized by transcription factors. HOCOMOCO now provides position weight matrix (PWM) models for binding sites of 601 human TFs and, in addition, PWMs for 396 mouse TFs. Furthermore, we introduce the largest up to date collection of dinucleotide PWM models for 86 (52) human (mouse) TFs. The update is based on the analysis of massive ChIP-Seq and HT-SELEX datasets, with the validation of the resulting models on in vivo data. To facilitate a practical application, all HOCOMOCO models are linked to gene and protein databases (Entrez Gene, HGNC, UniProt) and accompanied by precomputed score thresholds. Finally, we provide command-line tools for PWM and diPWM threshold estimation and motif finding in nucleotide sequences.

  18. HOCOMOCO: expansion and enhancement of the collection of transcription factor binding sites models.

    Science.gov (United States)

    Kulakovskiy, Ivan V; Vorontsov, Ilya E; Yevshin, Ivan S; Soboleva, Anastasiia V; Kasianov, Artem S; Ashoor, Haitham; Ba-Alawi, Wail; Bajic, Vladimir B; Medvedeva, Yulia A; Kolpakov, Fedor A; Makeev, Vsevolod J

    2016-01-04

    Models of transcription factor (TF) binding sites provide a basis for a wide spectrum of studies in regulatory genomics, from reconstruction of regulatory networks to functional annotation of transcripts and sequence variants. While TFs may recognize different sequence patterns in different conditions, it is pragmatic to have a single generic model for each particular TF as a baseline for practical applications. Here we present the expanded and enhanced version of HOCOMOCO (http://hocomoco.autosome.ru and http://www.cbrc.kaust.edu.sa/hocomoco10), the collection of models of DNA patterns, recognized by transcription factors. HOCOMOCO now provides position weight matrix (PWM) models for binding sites of 601 human TFs and, in addition, PWMs for 396 mouse TFs. Furthermore, we introduce the largest up to date collection of dinucleotide PWM models for 86 (52) human (mouse) TFs. The update is based on the analysis of massive ChIP-Seq and HT-SELEX datasets, with the validation of the resulting models on in vivo data. To facilitate a practical application, all HOCOMOCO models are linked to gene and protein databases (Entrez Gene, HGNC, UniProt) and accompanied by precomputed score thresholds. Finally, we provide command-line tools for PWM and diPWM threshold estimation and motif finding in nucleotide sequences. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. Active Volcanism on Io as Seen by Galileo SSI

    Science.gov (United States)

    McEwen, A.S.; Keszthelyi, L.; Geissler, P.; Simonelli, D.P.; Carr, M.H.; Johnson, T.V.; Klaasen, K.P.; Breneman, H.H.; Jones, T.J.; Kaufman, J.M.; Magee, K.P.; Senske, D.A.; Belton, M.J.S.; Schubert, G.

    1998-01-01

    Active volcanism on Io has been monitored during the nominal Galileo satellite tour from mid 1996 through late 1997. The Solid State Imaging (SSI) experiment was able to observe many manifestations of this active volcanism, including (1) changes in the color and albedo of the surface, (2) active airborne plumes, and (3) glowing vents seen in eclipse. About 30 large-scale (tens of kilometers) surface changes are obvious from comparison of the SSI images to those acquired by Voyager in 1979. These include new pyroclastic deposits of several colors, bright and dark flows, and caldera-floor materials. There have also been significant surface changes on Io during the Galileo mission itself, such as a new 400-km-diameter dark pyroclastic deposit around Pillan Patera. While these surface changes are impressive, the number of large-scale changes observed in the four months between the Voyager 1 and Voyager 2 flybys in 1979 suggested that over 17 years the cumulative changes would have been much more impressive. There are two reasons why this was not actually the case. First, it appears that the most widespread plume deposits are ephemeral and seem to disappear within a few years. Second, it appears that a large fraction of the volcanic activity is confined to repeated resurfacing of dark calderas and flow fields that cover only a few percent of Io's surface. The plume monitoring has revealed 10 active plumes, comparable to the 9 plumes observed by Voyager. One of these plumes was visible only in the first orbit and three became active in the later orbits. Only the Prometheus plume has been consistently active and easy to detect. Observations of the Pele plume have been particularly intriguing since it was detected only once by SSI, despite repeated attempts, but has been detected several times by the Hubble Space Telescope at 255 nm. Pele's plume is much taller (460 km) than during Voyager 1 (300 km) and much fainter at visible wavelengths. Prometheus-type plumes (50

  20. Application of the adiabatic self-consistent collective coordinate method to a solvable model of prolate-oblate shape coexistence

    CERN Document Server

    Kobayasi, M; Nakatsukasa, T; Matsuo, M

    2003-01-01

    The adiabatic self-consistent collective coordinate method is applied to an exactly solvable multi-O(4) model that is designed to describe nuclear shape coexistence phenomena. The collective mass and dynamics of large amplitude collective motion in this model system are analyzed, and it is shown that the method yields a faithful description of tunneling motion through a barrier between the prolate and oblate local minima in the collective potential. The emergence of the doublet pattern is clearly described. (author)

  1. VisIO: enabling interactive visualization of ultra-scale, time-series data via high-bandwidth distributed I/O systems

    Energy Technology Data Exchange (ETDEWEB)

    Mitchell, Christopher J [Los Alamos National Laboratory; Ahrens, James P [Los Alamos National Laboratory; Wang, Jun [UCF

    2010-10-15

    Petascale simulations compute at resolutions ranging into billions of cells and write terabytes of data for visualization and analysis. Interactive visuaUzation of this time series is a desired step before starting a new run. The I/O subsystem and associated network often are a significant impediment to interactive visualization of time-varying data; as they are not configured or provisioned to provide necessary I/O read rates. In this paper, we propose a new I/O library for visualization applications: VisIO. Visualization applications commonly use N-to-N reads within their parallel enabled readers which provides an incentive for a shared-nothing approach to I/O, similar to other data-intensive approaches such as Hadoop. However, unlike other data-intensive applications, visualization requires: (1) interactive performance for large data volumes, (2) compatibility with MPI and POSIX file system semantics for compatibility with existing infrastructure, and (3) use of existing file formats and their stipulated data partitioning rules. VisIO, provides a mechanism for using a non-POSIX distributed file system to provide linear scaling of 110 bandwidth. In addition, we introduce a novel scheduling algorithm that helps to co-locate visualization processes on nodes with the requested data. Testing using VisIO integrated into Para View was conducted using the Hadoop Distributed File System (HDFS) on TACC's Longhorn cluster. A representative dataset, VPIC, across 128 nodes showed a 64.4% read performance improvement compared to the provided Lustre installation. Also tested, was a dataset representing a global ocean salinity simulation that showed a 51.4% improvement in read performance over Lustre when using our VisIO system. VisIO, provides powerful high-performance I/O services to visualization applications, allowing for interactive performance with ultra-scale, time-series data.

  2. Computational model of collective nest selection by ants with heterogeneous acceptance thresholds.

    Science.gov (United States)

    Masuda, Naoki; O'shea-Wheller, Thomas A; Doran, Carolina; Franks, Nigel R

    2015-06-01

    Collective decision-making is a characteristic of societies ranging from ants to humans. The ant Temnothorax albipennis is known to use quorum sensing to collectively decide on a new home; emigration to a new nest site occurs when the number of ants favouring the new site becomes quorate. There are several possible mechanisms by which ant colonies can select the best nest site among alternatives based on a quorum mechanism. In this study, we use computational models to examine the implications of heterogeneous acceptance thresholds across individual ants in collective nest choice behaviour. We take a minimalist approach to develop a differential equation model and a corresponding non-spatial agent-based model. We show, consistent with existing empirical evidence, that heterogeneity in acceptance thresholds is a viable mechanism for efficient nest choice behaviour. In particular, we show that the proposed models show speed-accuracy trade-offs and speed-cohesion trade-offs when we vary the number of scouts or the quorum threshold.

  3. Model-driven approach to data collection and reporting for quality improvement.

    Science.gov (United States)

    Curcin, Vasa; Woodcock, Thomas; Poots, Alan J; Majeed, Azeem; Bell, Derek

    2014-12-01

    Continuous data collection and analysis have been shown essential to achieving improvement in healthcare. However, the data required for local improvement initiatives are often not readily available from hospital Electronic Health Record (EHR) systems or not routinely collected. Furthermore, improvement teams are often restricted in time and funding thus requiring inexpensive and rapid tools to support their work. Hence, the informatics challenge in healthcare local improvement initiatives consists of providing a mechanism for rapid modelling of the local domain by non-informatics experts, including performance metric definitions, and grounded in established improvement techniques. We investigate the feasibility of a model-driven software approach to address this challenge, whereby an improvement model designed by a team is used to automatically generate required electronic data collection instruments and reporting tools. To that goal, we have designed a generic Improvement Data Model (IDM) to capture the data items and quality measures relevant to the project, and constructed Web Improvement Support in Healthcare (WISH), a prototype tool that takes user-generated IDM models and creates a data schema, data collection web interfaces, and a set of live reports, based on Statistical Process Control (SPC) for use by improvement teams. The software has been successfully used in over 50 improvement projects, with more than 700 users. We present in detail the experiences of one of those initiatives, Chronic Obstructive Pulmonary Disease project in Northwest London hospitals. The specific challenges of improvement in healthcare are analysed and the benefits and limitations of the approach are discussed. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  4. Collective and decentralized management model in public hospitals: perspective of the nursing team.

    Science.gov (United States)

    Bernardes, Andrea; Cecilio, Luiz Carlos de Oliveira; Evora, Yolanda Dora Martinez; Gabriel, Carmen Silvia; Carvalho, Mariana Bernardes de

    2011-01-01

    This research aims to present the implementation of the collective and decentralized management model in functional units of a public hospital in the city of Ribeirão Preto, state of São Paulo, according to the view of the nursing staff and the health technical assistant. This historical and organizational case study used qualitative thematic content analysis proposed by Bardin for data analysis. The institution started the decentralization of its administrative structure in 1999, through collective management, which permitted several internal improvements, with positive repercussion for the care delivered to users. The top-down implementation of the process seems to have jeopardized workers adherence, although collective management has intensified communication and the sharing of power and decision. The study shows that there is still much work to be done to concretize this innovative management proposal, despite the advances regarding the quality of care.

  5. Smart Collaborative Caching for Information-Centric IoT in Fog Computing

    Directory of Open Access Journals (Sweden)

    Fei Song

    2017-11-01

    Full Text Available The significant changes enabled by the fog computing had demonstrated that Internet of Things (IoT urgently needs more evolutional reforms. Limited by the inflexible design philosophy; the traditional structure of a network is hard to meet the latest demands. However, Information-Centric Networking (ICN is a promising option to bridge and cover these enormous gaps. In this paper, a Smart Collaborative Caching (SCC scheme is established by leveraging high-level ICN principles for IoT within fog computing paradigm. The proposed solution is supposed to be utilized in resource pooling, content storing, node locating and other related situations. By investigating the available characteristics of ICN, some challenges of such combination are reviewed in depth. The details of building SCC, including basic model and advanced algorithms, are presented based on theoretical analysis and simplified examples. The validation focuses on two typical scenarios: simple status inquiry and complex content sharing. The number of clusters, packet loss probability and other parameters are also considered. The analytical results demonstrate that the performance of our scheme, regarding total packet number and average transmission latency, can outperform that of the original ones. We expect that the SCC will contribute an efficient solution to the related studies.

  6. GenIO: a phenotype-genotype analysis web server for clinical genomics of rare diseases.

    Science.gov (United States)

    Koile, Daniel; Cordoba, Marta; de Sousa Serro, Maximiliano; Kauffman, Marcelo Andres; Yankilevich, Patricio

    2018-01-27

    GenIO is a novel web-server, designed to assist clinical genomics researchers and medical doctors in the diagnostic process of rare genetic diseases. The tool identifies the most probable variants causing a rare disease, using the genomic and clinical information provided by a medical practitioner. Variants identified in a whole-genome, whole-exome or target sequencing studies are annotated, classified and filtered by clinical significance. Candidate genes associated with the patient's symptoms, suspected disease and complementary findings are identified to obtain a small manageable number of the most probable recessive and dominant candidate gene variants associated with the rare disease case. Additionally, following the American College of Medical Genetics and Genomics and the Association of Molecular Pathology (ACMG-AMP) guidelines and recommendations, all potentially pathogenic variants that might be contributing to disease and secondary findings are identified. A retrospective study was performed on 40 patients with a diagnostic rate of 40%. All the known genes that were previously considered as disease causing were correctly identified in the final inherit model output lists. In previously undiagnosed cases, we had no additional yield. This unique, intuitive and user-friendly tool to assists medical doctors in the clinical genomics diagnostic process is openly available at https://bioinformatics.ibioba-mpsp-conicet.gov.ar/GenIO/ .

  7. Smart Collaborative Caching for Information-Centric IoT in Fog Computing.

    Science.gov (United States)

    Song, Fei; Ai, Zheng-Yang; Li, Jun-Jie; Pau, Giovanni; Collotta, Mario; You, Ilsun; Zhang, Hong-Ke

    2017-11-01

    The significant changes enabled by the fog computing had demonstrated that Internet of Things (IoT) urgently needs more evolutional reforms. Limited by the inflexible design philosophy; the traditional structure of a network is hard to meet the latest demands. However, Information-Centric Networking (ICN) is a promising option to bridge and cover these enormous gaps. In this paper, a Smart Collaborative Caching (SCC) scheme is established by leveraging high-level ICN principles for IoT within fog computing paradigm. The proposed solution is supposed to be utilized in resource pooling, content storing, node locating and other related situations. By investigating the available characteristics of ICN, some challenges of such combination are reviewed in depth. The details of building SCC, including basic model and advanced algorithms, are presented based on theoretical analysis and simplified examples. The validation focuses on two typical scenarios: simple status inquiry and complex content sharing. The number of clusters, packet loss probability and other parameters are also considered. The analytical results demonstrate that the performance of our scheme, regarding total packet number and average transmission latency, can outperform that of the original ones. We expect that the SCC will contribute an efficient solution to the related studies.

  8. An Advanced IoT-based System for Intelligent Energy Management in Buildings.

    Science.gov (United States)

    Marinakis, Vangelis; Doukas, Haris

    2018-02-16

    The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT) solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusively for a predefined number of cases and systems without allowing for expansion and interoperability with other applications that is partially due to the lack of semantics. This paper presents an advanced Internet of Things (IoT) based system for intelligent energy management in buildings. A semantic framework is introduced aiming at the unified and standardised modelling of the entities that constitute the building environment. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building. In this context, an IoT-based system was implemented, which enhances the interactivity of the buildings' energy management systems. The results from its pilot application are presented and discussed. The proposed system extends existing approaches and integrates cross-domain data, such as the building's data (e.g., energy management systems), energy production, energy prices, weather data and end-users' behaviour, in order to produce daily and weekly action plans for the energy end-users with actionable personalised information.

  9. Smartphone and Bluetooth Smart Sensor Usage in IoT Applications

    Directory of Open Access Journals (Sweden)

    Khurshid ALIEV

    2016-06-01

    Full Text Available Bluetooth Low Energy is an interesting short-range radio technology that could be used for connecting tiny devices into the Internet of Things (IoT through gateways or cellular networks. For example, they are widely used in various contexts, from building and home automation to wearables. This paper proposes a method to improve the use of smartphones with a smart wireless sensor network acquisition system through Bluetooth Low Energy (BLE. A new BLE Smart Sensor, which acquires environmental data, was designed and calibration methods were performed. A detailed deviation is calculated between reference sensor and sensor node. The data obtained from laboratory experiments were used to evaluate battery life of the node. An Android application for devices such as Smartphones and Tablets can be used to collect data from a smart sensor, which becomes more accurate.

  10. Real-time Monitoring System for Rotating Machinery with IoT-based Cloud Platform

    Energy Technology Data Exchange (ETDEWEB)

    Jeong, Haedong; Kim, Suhyun; Woo, Sunhee; Kim, Songhyun; Lee, Seungchul [Ulsan Nat’l Institute Science and Technology, Ulsan (Korea, Republic of)

    2017-06-15

    The objective of this research is to improve the efficiency of data collection from many machine components on smart factory floors using IoT(Internet of things) techniques and cloud platform, and to make it easy to update outdated diagnostic schemes through online deployment methods from cloud resources. The short-term analysis is implemented by a micro-controller, and it includes machine-learning algorithms for inferring snapshot information of the machine components. For long-term analysis, time-series and high-dimension data are used for root cause analysis by combining a cloud platform and multivariate analysis techniques. The diagnostic results are visualized in a webbased display dashboard for an unconstrained user access. The implementation is demonstrated to identify its performance in data acquisition and analysis for rotating machinery.

  11. Collection of Culicoides spp. with four light trap models during different seasons in the Balearic Islands.

    Science.gov (United States)

    del Río, R; Monerris, M; Miquel, M; Borràs, D; Calvete, C; Estrada, R; Lucientes, J; Miranda, M A

    2013-07-01

    Bluetongue (BT) is a viral disease that affects ruminants, being especially pathogenic in certain breeds of sheep. Its viral agent (bluetongue virus; BTV) is transmitted by several species of Culicoides biting midges (Diptera: Ceratopogonidae). Different models of suction light traps are being used in a number of countries for the collection of BTV vector species. To determine the relative effectiveness of different light traps under field conditions, four traps (Onderstepoort, Mini-CDC, Rieb and Pirbright) were compared. These traps were rotated between four sites on a cattle farm in Mallorca (Balearic Islands, Spain) for several non-consecutive nights. Results showed remarkable disparities in the efficacy of the traps for the collection of Culicoides midges. The highest number of midges collected in the Onderstepoort trap (x¯±SD=62±94.2) was not significantly different from that collected in the Mini-CDC (x¯±SD=58±139.2). The Rieb trap collected the lowest number of midges (x¯±SD=3±4.0). Significantly higher mean numbers of midges were collected in the Onderstepoort than in either the Pirbright (P=0.002) or Rieb traps (P=0.008). There were also differences in the Culicoides species composition as determine with the various traps. These results indicate that the Onderstepoort or Mini-CDC traps will be more effective than either the Rieb or Pirbright traps for the collection of large numbers of Culicoides midges. Copyright © 2013 Elsevier B.V. All rights reserved.

  12. Spatio-temporal correlations in models of collective motion ruled by different dynamical laws

    CERN Document Server

    Cavagna, Andrea; Giardina, Irene; Grigera, Tomas S; Melillo, Stefania; Viale, Massimiliano

    2016-01-01

    Information transfer is an essential factor in determining the robustness of collective behaviour in biological systems with distributed control. The most direct way to study the information transfer mechanisms is to experimentally detect the propagation across the system of a signal triggered by some perturbation. However, for field experiments this method is inefficient, as the possibilities of the observer to perturb the group are limited and empirical observations must rely on rare natural perturbations. An alternative way is to use spatio-temporal correlations to assess the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. We test the approach on ground truth data provided by numerical simulations in three dimensions of two models of collective behaviour characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertia...

  13. Oscillator Models and Collective Motion: Splay State Stabilization of Self-Propelled Particles

    OpenAIRE

    Paley, Derek; Leonard, Naomi; Sepulchre, Rodolphe

    2005-01-01

    This paper presents a Lyapunov design for the stabilization of collective motion in a planar kinematic model of N particles moving at constant speed. We derive a control law that achieves asymptotic stability of the splay state formation, characterized by uniform rotation of N evenly spaced particles on a circle. In designing the control law, the particle headings are treated as a system of coupled phase oscillators. The coupling function which exponentially stabilizes th...

  14. Incorporating institutions and collective action into a sociohydrological model of flood resilience

    Science.gov (United States)

    Yu, David J.; Sangwan, Nikhil; Sung, Kyungmin; Chen, Xi; Merwade, Venkatesh

    2017-02-01

    Stylized sociohydrological models have mainly used social memory aspects such as community awareness or sensitivity to connect hydrologic change and social response. However, social memory alone does not satisfactorily capture the details of how human behavior is translated into collective action for water resources governance. Nor is it the only social mechanism by which the two-way feedbacks of sociohydrology can be operationalized. This study contributes toward bridging of this gap by developing a sociohydrological model of a flood resilience that includes two additional components: (1) institutions for collective action, and (2) connections to an external economic system. Motivated by the case of community-managed flood protection systems (polders) in coastal Bangladesh, we use the model to understand critical general features that affect long-term resilience of human-flood systems. Our findings suggest that occasional adversity can enhance long-term resilience. Allowing some hydrological variability to enter into the polder can increase its adaptive capacity for resilience through the preservation of social norm for collective action. Further, there are potential trade-offs associated with optimization of flood resistance through structural measures. By reducing sensitivity to floods, the system may become more fragile under the double impact of floods and economic change.

  15. Effective lattice model for the collective modes in a Fermi liquid with spin-orbit coupling

    Science.gov (United States)

    Kumar, Abhishek; Maslov, Dmitrii L.

    2017-04-01

    A Fermi liquid (FL) with spin-orbit coupling (SOC) supports a special type of collective modes—chiral spin waves—which are oscillations of magnetization that occur even in the absence of the external magnetic field. We study the chiral spin waves of a two-dimensional FL in the presence of both the Rashba and Dresselhaus types of SOC and also subject to the in-plane magnetic field. We map the system of coupled kinetic equations for the angular harmonics of the occupation number onto an effective one-dimensional tight-binding model, in which the lattice sites correspond to angular-momentum channels. Linear-in-momentum SOC ensures that the effective tight-binding model has only nearest-neighbor hopping on a bipartite lattice. In this language, the continuum of spin-flip particle-hole excitations becomes a conduction band of the lattice model, whereas electron-electron interaction, parametrized by harmonics of the Landau function, is mapped onto lattice defects of both on-site and bond type. The collective modes correspond to bound states formed by such defects. All the features of the collective-mode spectrum receive natural explanation in the lattice picture as resulting from the competition between on-site and bond defects.

  16. A Steering Model of Endothelial Sheet Migration Recapitulates Monolayer Integrity and Directed Collective Migration ▿ †

    Science.gov (United States)

    Vitorino, Philip; Hammer, Mark; Kim, Jongmin; Meyer, Tobias

    2011-01-01

    Cells in endothelial cell monolayers maintain a tight barrier between blood and tissue, but it is not well understood how endothelial cells move within monolayers, pass each other, migrate when stimulated with growth factor, and also retain monolayer integrity. Here, we develop a quantitative steering model based on functional classes of genes identified previously in a small interfering RNA (siRNA) screen to explain how cells locally coordinate their movement to maintain monolayer integrity and collectively migrate in response to growth factor. In the model, cells autonomously migrate within the monolayer and turn in response to mechanical cues resulting from adhesive, drag, repulsive, and directed steering interactions with neighboring cells. We show that lateral-drag steering explains the local coordination of cell movement and the maintenance of monolayer integrity by allowing closure of small lesions. We further demonstrate that directional steering of cells at monolayer boundaries, combined with adhesive steering of cells behind, can explain growth factor-triggered collective migration into open space. Together, this model provides a mechanistic explanation for the observed genetic modularity and a conceptual framework for how cells can dynamically maintain sheet integrity and undergo collective directed migration. PMID:20974808

  17. Coarse analysis of collective behaviors: Bifurcation analysis of the optimal velocity model for traffic jam formation

    Science.gov (United States)

    Miura, Yasunari; Sugiyama, Yuki

    2017-12-01

    We present a general method for analyzing macroscopic collective phenomena observed in many-body systems. For this purpose, we employ diffusion maps, which are one of the dimensionality-reduction techniques, and systematically define a few relevant coarse-grained variables for describing macroscopic phenomena. The time evolution of macroscopic behavior is described as a trajectory in the low-dimensional space constructed by these coarse variables. We apply this method to the analysis of the traffic model, called the optimal velocity model, and reveal a bifurcation structure, which features a transition to the emergence of a moving cluster as a traffic jam.

  18. Role of Non-Volatile Memories in Automotive and IoT Markets

    Science.gov (United States)

    2017-03-01

    Role of Non-Volatile Memories in Automotive and IoT Markets Vipin Tiwari Director, Business Development and Product Marketing SST – A Wholly Own...automotive and Internet of Things (IoT) markets . Keywords: Embedded flash; Microcontrollers, Automotive; Internet of Things, IoT; Non-volatile memories...variou s types of non-volatile memories available in the market , bu t the floating-poly based embedded flash memories have been around the longest and

  19. Service and multimedia data transmission in IoT networks using hybrid communication devices

    OpenAIRE

    Saveliev Anton; Malov Dmitry; Tamashakin Michael; Budkov Victor

    2017-01-01

    Employment of various protocols and technologies in IoT networks leads to the lack of module unification and increase in incompatible technical solutions. Modern IoT networks are not designed for streaming audio/video data, so their application field is limited. Also, modern IoT networks should have connection areas for devices transferring data to the Internet, and consider hardware and software specific characteristics of these devices. We offer one-size-fits-all solution for organization o...

  20. The PMIPv6-Based Group Binding Update for IoT Devices

    OpenAIRE

    Jianfeng Guan; Ilsun You; Changqiao Xu; Hongke Zhang

    2016-01-01

    Internet of Things (IoT) has been booming with rapid increase of the various wearable devices, vehicle embedded devices, and so on, and providing the effective mobility management for these IoT devices becomes a challenge due to the different application scenarios as well as the limited energy and bandwidth. Recently, lots of researchers have focused on this topic and proposed several solutions based on the combination of IoT features and traditional mobility management protocols, in which mo...

  1. Enhance Energy-efficiency and Security of IoT using Hardware-oriented Approaches

    OpenAIRE

    XU, TENG

    2017-01-01

    The rapid growth of Internet of things (IoT) including mobile phones, portable devices, and remote sensor network systems have imposed both conceptually and technically new challenges. Among them, the most demanding requirements for the widespread realization of many IoT visions are security and low power. In terms of security, IoT applications include tasks that are rarely addressed before such as trusted sensing, secure computation and communication, privacy, and data right management. Thes...

  2. Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems

    OpenAIRE

    Yao Pan; Jules White; Douglas Schmidt; Ahmad Elhabashy; Logan Sturm; Jaime Camelio; Christopher Williams

    2017-01-01

    The Internet of Things (IoT) has transformed many aspects of modern manufacturing, from design to production to quality control. In particular, IoT and digital manufacturing technologies have substantially accelerated product development- cycles and manufacturers can now create products of a complexity and precision not heretofore possible. New threats to supply chain security have arisen from connecting machines to the Internet and introducing complex IoT-based systems controlling manufactur...

  3. Analysis of the frontier technology of agricultural IoT and its predication research

    Science.gov (United States)

    Han, Shuqing; Zhang, Jianhua; Zhu, Mengshuai; Wu, Jianzhai; Shen, Chen; Kong, Fantao

    2017-09-01

    Agricultural IoT (Internet of Things) develops rapidly. Nanotechnology, biotechnology and optoelectronic technology are successfully integrated into the agricultural sensor technology. Big data, cloud computing and artificial intelligence technology have also been successfully used in IoT. This paper carries out the research on integration of agricultural sensor technology, nanotechnology, biotechnology and optoelectronic technology and the application of big data, cloud computing and artificial intelligence technology in agricultural IoT. The advantages and development of the integration of nanotechnology, biotechnology and optoelectronic technology with agricultural sensor technology were discussed. The application of big data, cloud computing and artificial intelligence technology in IoT and their development trend were analysed.

  4. Internet of Things : a gateway centric solution for providing IoT connectivity

    OpenAIRE

    Karhula, Pekka

    2016-01-01

    The Internet of Things (IoT) is revolutionising the traditional Internet by extending it with smart everyday objects. Wearables, smart grids and home automation systems are just a few examples of the IoT. A noteworthy point is that the amount of devices connected to the Internet will rapidly grow with the IoT. The IoT typically involves devices that are constrained in terms of energy, memory and processing resources. Therefore, they also limit applying the existing Internet pro...

  5. Interconexión de dispositivos IoT (Internet of Things) con plataforma Sofia2.

    OpenAIRE

    VICENTE CEBRIÁN, VÍCTOR MANUEL

    2017-01-01

    The acronym IoT stands for the concept Internet Of Things. IoT technologies make it easy to connect all kinds of things to the network and develop applications to control and manage them. All the complexities of enabling connectivity, services and deployment for these devices is the task of the IoT platform. An IoT platform ensures integration with different hardware devices supporting a wide range of communication protocols. Through the integration interfaces provided by the platform, i...

  6. IoT’s Tiny Steps towards 5G: Telco’s Perspective

    OpenAIRE

    Enida Cero; Jasmina Baraković Husić; Sabina Baraković

    2017-01-01

    The numerous and diverse applications of the Internet of Things (IoT) have the potential to change all areas of daily life of individuals, businesses, and society as a whole. The vision of a pervasive IoT spans a wide range of application domains and addresses the enabling technologies needed to meet the performance requirements of various IoT applications. In order to accomplish this vision, this paper aims to provide an analysis of literature in order to propose a new classification of IoT ...

  7. APLIKACIJA ZA PRIKAZ SLEDENJA VOZIL NA OPERACIJSKEM SISTEMU iOS

    OpenAIRE

    Mlinar, Tilen

    2011-01-01

    V diplomski nalogi prikazujemo razvoj aplikacije za operacijski sistem iOS. Razvili smo aplikacijo za sledenje vozil. V teoretičnem delu se najprej seznanimo z operacijskim sistemom iOS ter njegovo arhitekturo, nato predstavimo arhitekturo aplikacij iOS. Sledi opis kompleta razvojnih orodij v iOS SDK. V nadaljevanju se seznanimo še s programskim jezikom Objective-C, lokacijsko odvisnimi storitvam, podsistemom MapKit in delovanjem aplikacije v ozadju operacijskega sistema. V praktičnem delu op...

  8. Service framework for Internet of People, Things and Services (IoPTS)

    DEFF Research Database (Denmark)

    Shinde, Gitanjali; Olesen, Henning

    2017-01-01

    Internet of Things (IoT) is a revolutionary technol- ogy, where devices around us will becapable of sensing, reacting, responding and working autonomously to provide services to the users e.g. within smart homes, enterprises, utilities and e-Health. In the IoT paradigm, every device...... will be connected to the Inter- net to provide services to the user. Bringing this together makes it relevant to talk about the "Internet of People, Things and Servic- es (IoPTS)". However, providing the appropriate services to the users depending on their requirements is a major challenge for IoPTS.After reviewing...

  9. Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks

    National Research Council Canada - National Science Library

    Sharma, Shree Krishna; Wang, Xianbin

    2017-01-01

    Recently, big data analytics has received important attention in a variety of application domains including business, finance, space science, healthcare, telecommunication and Internet of Things (IoT...

  10. An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System

    Science.gov (United States)

    Wu, Tsu-Yang; Chen, Chin-Ling; Lee, Cheng-Chi; Chen, Chien-Ming

    2017-01-01

    In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables doctors, caregivers or families to monitor patients’ physiological conditions at anytime and anyplace according to the acquired information. However, transmitting physiological data through the Internet concerns the personal privacy of patients. Therefore, before users can access medical care services in IoT-based medical care system, they must be authenticated. Typically, user authentication and data encryption are most critical for securing network communications over a public channel between two or more participants. In 2016, Liu and Chung proposed a bilinear pairing-based password authentication scheme for wireless healthcare sensor networks. They claimed their authentication scheme cannot only secure sensor data transmission, but also resist various well-known security attacks. In this paper, we demonstrate that Liu–Chung’s scheme has some security weaknesses, and we further present an improved secure authentication and data encryption scheme for the IoT-based medical care system, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks. Moreover, we modify the authentication process to reduce redundancy in protocol design, and the proposed scheme is more efficient in performance compared with previous related schemes. Finally, the proposed scheme is provably secure in the random oracle model under ECDHP. PMID:28644381

  11. An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System.

    Science.gov (United States)

    Li, Chun-Ta; Wu, Tsu-Yang; Chen, Chin-Ling; Lee, Cheng-Chi; Chen, Chien-Ming

    2017-06-23

    In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables doctors, caregivers or families to monitor patients' physiological conditions at anytime and anyplace according to the acquired information. However, transmitting physiological data through the Internet concerns the personal privacy of patients. Therefore, before users can access medical care services in IoT-based medical care system, they must be authenticated. Typically, user authentication and data encryption are most critical for securing network communications over a public channel between two or more participants. In 2016, Liu and Chung proposed a bilinear pairing-based password authentication scheme for wireless healthcare sensor networks. They claimed their authentication scheme cannot only secure sensor data transmission, but also resist various well-known security attacks. In this paper, we demonstrate that Liu-Chung's scheme has some security weaknesses, and we further present an improved secure authentication and data encryption scheme for the IoT-based medical care system, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks. Moreover, we modify the authentication process to reduce redundancy in protocol design, and the proposed scheme is more efficient in performance compared with previous related schemes. Finally, the proposed scheme is provably secure in the random oracle model under ECDHP.

  12. Fluid dynamics of multiphase flow in volcanic environments on the Earth, Io, and other planets

    Science.gov (United States)

    Kieffer, Susan Werner

    1991-01-01

    Data was compiled on H2O, CO2, S, and SO2 and it was analyzed by various techniques to prepare phase diagrams relevant to conditions on the Earth, Io, Mars, and other planets. The use of Cray models for volcanic eruptions was examined. Attempts are being made to develop equations of state of the compounds listed above to be compatible with the Cray code so that they can be called as subroutines for the volcanic models. This is a major project, as the current code uses only the equation of state for a perfect gas, and requires that the atmosphere be the same composition as the volcanic gas. The analysis of the thermodynamic data is time consuming, and was complicated by changes from a VAX/VMS system to Macintosh's, Crays using CTSS, Crays using Unicos, and Sun workstations.

  13. Implication of the January 1990 Volcanic Eruption on Io for Resurfacing Rates and Energetics

    Science.gov (United States)

    Johnson, T. V.; Matson, D. L.; Veeder, G. J.; Blaney, D. L.; Goguen, J. D.

    1993-01-01

    The high temperature event observed by ground based infrared radiometry of Io in January of 1990 can be modeled as an extremely active silicate lava flow which increased its area and cooled over a period of three hours. The best model at the start of the observations is a thermal source at 1200 K with an area equal to that of a circle of 5.6 km radius, while at the end of the observation sequence a source with a temperature of 700 K and a 13 km radium provides the best match. Given a flow thickness of 10 m, this implies an eruption rate of 300,000 cubic meters per second. This is large by terrestrial standards but consistent with estimates of lunar eruption rates (Head and Wilson 1981) and some terrestrial eruptions such as the 1800-1801 Hualalai flow in Hawaii (Baloga and Spudis 1992)...

  14. High-temperature silicate volcanism on Jupiter's moon Io

    Science.gov (United States)

    McEwen, A.S.; Keszthelyi, L.; Spencer, J.R.; Schubert, G.; Matson, D.L.; Lopes-Gautier, R.; Klaasen, K.P.; Johnson, T.V.; Head, J.W.; Geissler, P.; Fagents, S.; Davies, A.G.; Carr, M.H.; Breneman, H.H.; Belton, M.J.S.

    1998-01-01

    Infrared wavelength observations of Io by the Galileo spacecraft show that at last 12 different vents are erupting lavas that are probably hotter than the highest temperature basaltic eruptions on Earth today. In at least one case, the eruption near Pillan Patea, two independent instruments on Galileo show that the lava temperature must have exceeded 1700 kelvin and may have reached 2000 kelvin. The most likely explanation is that these lavas are ultramafic (magnesium-rich) silicates, and this idea is supported by the tentative identification of magnesium-rich orthopyroxene in lava flows associated with thse high-temperature hot spots.

  15. Developing an M-Learning Application for iOS

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2013-01-01

    Full Text Available The mobile market development has a high impact on all domains including education. Smart mobile devices started to be affordable and the massive use on educational processes does not seem to be too far. Mobile learning applications are be targeted for all major mobile operating systems as native applications or Web-based. The objective of this paper is to present the implementation of the evaluation module for an m-learning application developed for iOS devices. The m-learning application is targeted to a higher education institution. The application uses Web services in order to obtain the content and to authenticate the users.

  16. Fra Industrial Organization (IO) til Porters strategiske brancheperspektiv

    DEFF Research Database (Denmark)

    Thrane, Claus

    2007-01-01

    Dette notat giver en kortfattet introduktion til det grundlæggende teoretiske fundament for Porters brancheperspektiv. Heri indgår: 1) et kort afsnit om strategifeltets historiske baggrund, 2) en kort beskrivelse af det såkaldte SCP-paradigme inden for IO med særligt fokus på årene op til 1980, 3......) en beskrivelse af hvorledes Porter overførte SCP-paradigmet til strategifeltet, samt 4) en meget kort beskrivelse af de to centrale dele i Porter 1980....

  17. ROOT I/O in JavaScript

    Science.gov (United States)

    Bellenot, Bertrand

    2012-12-01

    ROOT is used by almost all experiments throughout High Energy and Nuclear Physics to write, read and analyse data. As use of mobile devices (tablets, smart phones) is becoming more and more popular, offering a portable way of monitoring or inspecting ROOT files from any web browser, without having to install any application or library on the server side or on the client side is important. To achieve this, a JavaScript I/O library is being developed. The graphic part is done by using a third-party JavaScript visualization library.

  18. iOS Development using MonoTouch Cookbook

    CERN Document Server

    Tavlikos, Dimitris

    2011-01-01

    The book is written in a cookbook style, presenting examples in the style of recipes, allowing you to go directly to your topic of interest, or follow topics throughout a chapter to gain in-depth knowledge. This book is essential for C# and .NET developers with no previous experience in iOS development and Objective-C developers that want to make a transition to the benefits of MonoTouch and the C# language, for creating complete, compelling iPhone, iPod and iPad applications and deploying them to the App Store.

  19. INTERNET of THINGS (IoT):SECURITY AND PRIVACY CONCERNS

    OpenAIRE

    Anureet Kaur

    2016-01-01

    The Internet of Things(IoT) is a vision in which Internet outspreads into the real world espousal of daily objects. The objects no longer seems separated from the virtual world and can be controlled distantly. The term “Internet of Things” is devised from the two words “Internet” and “Things”. The Internet is an interconnected computer networks that use the standard Internet. The word “Things” can be any object or person in real world from any electronic equipment to any non- electronic as...

  20. Magma ascent pathways associated with large mountains on Io

    Science.gov (United States)

    McGovern, P. J.; Kirchoff, M. R.; White, O. L.; Schenk, P.

    2013-12-01

    While Jupiter's moon Io is the most volcanically active body in the solar system, the largest mountains seen on Io are created by tectonic forces rather than volcanic construction. Pervasive compression, brought about by subsidence induced by sustained volcanic resurfacing and aided by thermal stress, creates the mountains, but at the same time inhibits magma ascent in vertical conduits (dikes). We superpose stress solutions for subsidence and thermal stress (from the 'crustal conveyor belt' resurfacing) in Io's lithosphere with stresses from Io mountain-sized loads (in a shallow spherical shell solution) in order to evaluate magma ascent pathways. We use stress orientation (least compressive stress horizontal) and stress gradient (compression decreasing upwards) criteria to identify ascent pathways through the lithosphere. For nominal 'conveyor belt' stress states, the ascent criteria are satisfied only in a narrow (5 km or so), roughly mid-lithosphere band. Superposed stresses from loading of a 150-km wide mountain (comparable to Boösaule Mons) on a lithosphere with thickness Te = 50 km results in a thickening of the ascent-favorable (AF) zone beneath the center of the edifice, with a total thickness of 38 km for an 18 km tall (post-flexure) edifice. Most of the thickening is upward, although some is downward. Widening the edifice to 200 km produces a 'U-shaped' AF zone, thin and depressed at r = 0 but intersecting the surface at distances of about 20 to 40 km from the center. Increasing edifice width increases the radial distance at which the AF zone intersects the surface. Thinner lithospheres create generally thinner AF zones, and U-shaped AF zones for narrower edifices. There are several configurations for which viable ascent paths transit nearly the entire lithosphere, arriving at the base of the mountain, where magma can be transported through thrust faults or perhaps thermally erode flank sections, the latter consistent with observations of paterae in

  1. RestKit for iOS standard guide

    CERN Document Server

    Kalapun, Taras

    2013-01-01

    A step-by-step, example-based guide to learning how you can link your apps and web services using RestKit.This book is for iOS developers of all levels who are interested in boosting their productivity by utilizing third party libraries and who have a willingness to learn how to build RESTful apps using the RestKit framework. A basic knowledge of Objective-C is required as well as a simple understanding of how to use CoreData.

  2. iOS and OS X network programming cookbook

    CERN Document Server

    Hoffman, Jon

    2014-01-01

    This book follows a recipe-based approach that will heavily focus on the code and how to integrate the samples with the reader's projects.Each recipe consists of one or more methods that you can put directly into your app and use.This book is ideal for developers that want to create network applications for the Apple OS X or iOS platforms. All examples are written in Objective-C using XCode as the IDE. Knowledge of Objective-C and X-Code is essential.

  3. ROOT I/O in JavaScript

    CERN Document Server

    Bellenot, Bertrand

    2012-01-01

    ROOT is used by almost all experiments throughout High Energy and Nuclear Physics to write, read and analyse data. As use of mobile devices (tablets, smart phones) is becoming more and more popular, offering a portable way of monitoring or inspecting ROOT files from any web browser, without having to install any application or library on the server side or on the client side is important. To achieve this, a JavaScript I/O library is being developed. The graphic part is done by using a third-party JavaScript visualization library.

  4. Remote Monitoring of Soil Water Content, Temperature, and Heat Flow Using Low-Cost Cellular (3G) IoT Technology

    Science.gov (United States)

    Ham, J. M.

    2016-12-01

    New microprocessor boards, open-source sensors, and cloud infrastructure developed for the Internet of Things (IoT) can be used to create low-cost monitoring systems for environmental research. This project describes two applications in soil science and hydrology: 1) remote monitoring of the soil temperature regime near oil and gas operations to detect the thermal signature associated with the natural source zone degradation of hydrocarbon contaminants in the vadose zone, and 2) remote monitoring of soil water content near the surface as part of a global citizen science network. In both cases, prototype data collection systems were built around the cellular (2G/3G) "Electron" microcontroller (www.particle.io). This device allows connectivity to the cloud using a low-cost global SIM and data plan. The systems have cellular connectivity in over 100 countries and data can be logged to the cloud for storage. Users can view data real time over any internet connection or via their smart phone. For both projects, data logging, storage, and visualization was done using IoT services like Thingspeak (thingspeak.com). The soil thermal monitoring system was tested on experimental plots in Colorado USA to evaluate the accuracy and reliability of different temperature sensors and 3D printed housings. The soil water experiment included comparison opens-source capacitance-based sensors to commercial versions. Results demonstrate the power of leveraging IoT technology for field research.

  5. Toward an integrative social identity model of collective action : A quantitative research synthesis of three socio-psychological perspectives

    NARCIS (Netherlands)

    Van Zomeren, M.; Postmes, T.; Spears, R.

    An integrative social identity model of collective action (SIMCA) is developed that incorporates 3 socio-psychological perspectives on collective action. Three meta-analyses synthesized a total of 182 effects of perceived injustice, efficacy, and identity on collective action (corresponding to these

  6. Simulating Flying Insects Using Dynamics and Data-Driven Noise Modeling to Generate Diverse Collective Behaviors

    Science.gov (United States)

    Ren, Jiaping; Wang, Xinjie; Manocha, Dinesh

    2016-01-01

    We present a biologically plausible dynamics model to simulate swarms of flying insects. Our formulation, which is based on biological conclusions and experimental observations, is designed to simulate large insect swarms of varying densities. We use a force-based model that captures different interactions between the insects and the environment and computes collision-free trajectories for each individual insect. Furthermore, we model the noise as a constructive force at the collective level and present a technique to generate noise-induced insect movements in a large swarm that are similar to those observed in real-world trajectories. We use a data-driven formulation that is based on pre-recorded insect trajectories. We also present a novel evaluation metric and a statistical validation approach that takes into account various characteristics of insect motions. In practice, the combination of Curl noise function with our dynamics model is used to generate realistic swarm simulations and emergent behaviors. We highlight its performance for simulating large flying swarms of midges, fruit fly, locusts and moths and demonstrate many collective behaviors, including aggregation, migration, phase transition, and escape responses. PMID:27187068

  7. Analysis and classification of collective behavior using generative modeling and nonlinear manifold learning.

    Science.gov (United States)

    Butail, Sachit; Bollt, Erik M; Porfiri, Maurizio

    2013-11-07

    In this paper, we build a framework for the analysis and classification of collective behavior using methods from generative modeling and nonlinear manifold learning. We represent an animal group with a set of finite-sized particles and vary known features of the group structure and motion via a class of generative models to position each particle on a two-dimensional plane. Particle positions are then mapped onto training images that are processed to emphasize the features of interest and match attainable far-field videos of real animal groups. The training images serve as templates of recognizable patterns of collective behavior and are compactly represented in a low-dimensional space called embedding manifold. Two mappings from the manifold are derived: the manifold-to-image mapping serves to reconstruct new and unseen images of the group and the manifold-to-feature mapping allows frame-by-frame classification of raw video. We validate the combined framework on datasets of growing level of complexity. Specifically, we classify artificial images from the generative model, interacting self-propelled particle model, and raw overhead videos of schooling fish obtained from the literature. © 2013 Elsevier Ltd. All rights reserved.

  8. The Summer 1997 Eruption at Pillan Patera on Io: Implications for Ultrabasic Lava Flow Emplacement

    Science.gov (United States)

    Williams, David A.; Davies, Ashley G.; Keszthelyi, Laszlo P.; Greeley, Ronald

    2001-01-01

    Galileo data and numerical modeling were used to investigate the summer 1977 eruption at Pillan Patera on Io. This event, now defined as "Pillanian" eruption style, included a high-temperature (greater than 1600 C), possible ultrabasic , 140-km-high plume eruption that deposited dark, orthopyroxene-rich pyroclastic material over greater than 125,000 sq km, followed by emplacement of dark flow-like material over greater than 3100 sq km to the north of the caldera. We estimate that the high-temperature, energetic episode of this eruption had a duration of 52 - 167 days between May and September 1997, with peak eruption temperatures around June 28, 1997. Galileo 20 m/pixel images of part of the Pillan flow field show a wide-spread, rough, pitted surface that is unlike any flow surface we have seen before. We suggest that this surface may have resulted from: 1. A fractured lava crust formed during rapid, low-viscosity lava surging, perhaps including turbulent flow emplacement. 2. Disruption of the lava flow by explosive interaction with a volatile-rich substrate. or 3. A combination of 1 and 2 with or without accumulation of pyroclastic material on the surface. Well-developed flow lobes are observed, suggesting that this is a relatively distant part of the flow field.Shadow measurements at flow margins indicate a thickness of-8 - 10 m. We have modeled the emplacement of putative ultrabasic flow from the summer 1997 Pillan eruption using constraints from new Galileo data. Results suggest that either laminar sheet flows or turbulent channelized flows could have traveled 50 - 150 km on a flat, unobstructed surface, which is consistent with the estimated length of the Pillan flow field (approx. 60 km). Our modeling suggests low thermal erosion rates (less than 4.1 m/d), and that the formation of deep (greater than 20 m) erosion channels was unlikely, especially distal to the source. We calculate a volumetric flow rate of approx. 2 - 7 x 10(exp 3)cu m/s, which is greater

  9. Aplikasi Keliling Nusantara Edisi Sumatera Berbasis Android dan iOS

    Directory of Open Access Journals (Sweden)

    Angga Apridianto

    2015-08-01

    Full Text Available Diversity of art and culture in Indonesia should be preserved so as not to become extinct in the face of times so that it can be passed on to generations to come. Many of the people of Indonesia who forget about the culture to identity of the area because of several factors such as the people of indonesia more interested of the western culture than self culture, the region of Indonesia which large also cause people’s reluctance to learn because of constrained of time, distance and cost as well as limitations of the media information about the art and culture that currently can only be learned through pictures and visit the location of art and culture directly make the introduction of art and culture to people of indonesia not yet optimal. Therefore required a media so that people can learn more about the wealth of art and culture without having to visit directly into the location of the arts and cultures its. “Keliling Nusantara Edisi Sumatra” application that was built can be the way to preserve the national culture. The function of this application as a learning media for recognize the diversity of arts and cultures of Indonesia on the island of Sumatra. This application is built using Mobione Studio and running on Android and iOS devices. The application is made using the UCD (User Centered Design which has been mapped to multimedia development methods by Luther from the stage specify the context of use and specify the users and organisational requirements are mapped into the concept, the stage produce design solutions are mapped into the design, production and collecting material as wellas the evaluate design againts the user requirements are mapped into the stage of testing and distribution. The results produced an application based on Android and iOS contains folks song and lyrics and sound, traditional dress, traditional homes, custom traditions, traditional weapons, traditional dance, tradition musical instrument, the symbol of the

  10. An evaluation of 1D loss model collections for the off-design performance prediction of automotive turbocharger compressors

    Science.gov (United States)

    Harley, P.; Spence, S.; Early, J.; Filsinger, D.; Dietrich, M.

    2013-12-01

    Single-zone modelling is used to assess different collections of impeller 1D loss models. Three collections of loss models have been identified in literature, and the background to each of these collections is discussed. Each collection is evaluated using three modern automotive turbocharger style centrifugal compressors; comparisons of performance for each of the collections are made. An empirical data set taken from standard hot gas stand tests for each turbocharger is used as a baseline for comparison. Compressor range is predicted in this study; impeller diffusion ratio is shown to be a useful method of predicting compressor surge in 1D, and choke is predicted using basic compressible flow theory. The compressor designer can use this as a guide to identify the most compatible collection of losses for turbocharger compressor design applications. The analysis indicates the most appropriate collection for the design of automotive turbocharger centrifugal compressors.

  11. Development of a Novel Food Waste Collection Kiosk and Waste-to-Energy Business Model

    Directory of Open Access Journals (Sweden)

    Matthew Franchetti

    2016-08-01

    Full Text Available The U.S. generates more than 37 million metric tons of food waste each year, and over 95% of it is disposed of at U.S. landfills. This paper describes the development of a novel food waste collection kiosk and business model called “Greenbox” that will collect and store food waste from households and restaurants with incentives for user participation to spur food waste-to-energy production in a local community. Greenbox offers a low-cost collection point to divert food waste from landfills, reduce greenhouse gases from decomposition, and aid in generating cleaner energy. A functional prototype was successfully developed by a team of engineering students and a business model was created as part of a senior design capstone course. Each Greenbox unit has the potential to reduce 275 metric tons of food waste per year, remove 1320 kg of greenhouse gases, and create 470,000 liters of methane gas while providing a payback period of 4.2 years and a rate of return of 14.9%.

  12. The Nuclear Shape Phase Transitions Studied within the Geometric Collective Model

    Directory of Open Access Journals (Sweden)

    Khalaf A. M.

    2013-04-01

    Full Text Available In the framework of the Geometric Collective Model (GCM, quantum phase transition between spherical and deformed shapes of doubly even nuclei are investigated. The validity of the model is examined for the case of lanthanide chains Nd / Sm and actinide chains Th / U. The parameters of the model were obtained by performing a computer simulated search program in order to obtain minimum root mean square deviations be- tween the calculated and the experimental excitation energies. Calculated potential en- ergy surfaces (PES’s describing all deformation effects of each nucleus are extracted. Our systematic studies on lanthanide and actinide chains have revealed a shape transi- tion from spherical vibrator to axially deformed rotor when moving from the lighter to the heavier isotopes.

  13. Modelling the effect of curvature on the collective behaviour of cells growing new tissue

    CERN Document Server

    Alias, Almie

    2016-01-01

    The growth of several biological tissues is known to be controlled in part by local geometrical features, such as the curvature of the tissue interface. This control leads to changes in tissue shape that in turn can affect the tissue's evolution. Understanding the cellular basis of this control is highly significant for bioscaffold tissue engineering, the evolution of bone microarchitecture, wound healing, and tumour growth. While previous models have proposed geometrical relationships between tissue growth and curvature, the role of cell density and cell vigor remains poorly understood. We propose a cell-based mathematical model of tissue growth to investigate the systematic influence of curvature on the collective crowding or spreading of tissue-synthesising cells induced by changes in local tissue surface area during the motion of the interface. Depending on the strength of diffusive damping, the model exhibits complex growth patterns such as undulating motion, efficient smoothing of irregularities, and th...

  14. Quartic oscillator potential in the γ-rigid regime of the collective geometrical model

    Energy Technology Data Exchange (ETDEWEB)

    Budaca, R. [Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest-Magurele (Romania)

    2014-05-15

    A prolate γ-rigid version of the Bohr-Mottelson Hamiltonian with a quartic anharmonic oscillator potential in β collective shape variable is used to describe the spectra for a variety of vibrational-like nuclei. Speculating the exact separation between the two Euler angles and the β variable, one arrives at a differential Schroedinger equation with a quartic anharmonic oscillator potential and a centrifugal-like barrier. The corresponding eigenvalue is approximated by an analytical formula depending only on a single parameter up to an overall scaling factor. The applicability of the model is discussed in connection to the existence interval of the free parameter, which is limited by the accuracy of the approximation, and by comparison with the predictions of the related X(3) and X(3)-β {sup 2} models. The model is applied to qualitatively describe the spectra for nine nuclei which exhibit near-vibrational features. (orig.)

  15. Language model: Extension to solve inconsistency, incompleteness, and short query in cultural heritage collection

    Science.gov (United States)

    Tan, Kian Lam; Lim, Chen Kim

    2017-10-01

    With the explosive growth of online information such as email messages, news articles, and scientific literature, many institutions and museums are converting their cultural collections from physical data to digital format. However, this conversion resulted in the issues of inconsistency and incompleteness. Besides, the usage of inaccurate keywords also resulted in short query problem. Most of the time, the inconsistency and incompleteness are caused by the aggregation fault in annotating a document itself while the short query problem is caused by naive user who has prior knowledge and experience in cultural heritage domain. In this paper, we presented an approach to solve the problem of inconsistency, incompleteness and short query by incorporating the Term Similarity Matrix into the Language Model. Our approach is tested on the Cultural Heritage in CLEF (CHiC) collection which consists of short queries and documents. The results show that the proposed approach is effective and has improved the accuracy in retrieval time.

  16. Recasting Janis's Groupthink Model: The Key Role of Collective Efficacy in Decision Fiascoes.

    Science.gov (United States)

    Whyte

    1998-02-01

    This paper advances an explanation for decision fiascoes that reflects recent theoretical trends and was developed in response to a growing body of research that has failed to substantiate the groupthink model (Janis, 1982). In this new framework, the lack of vigilance and preference for risk that characterizes groups contaminated by groupthink are attributed in large part to perceptions of collective efficacy that unduly exceed capability. High collective efficacy may also contribute to the negative framing of decisions and to certain administrative and structural organizational faults. In the making of critical decisions, these factors induce a preference for risk and a powerful concurrence seeking tendency that, facilitated by group polarization, crystallize around a decision option that is likely to fail. Implications for research and some evidence in support of this approach to the groupthink phenomenon are also discussed. Copyright 1998 Academic Press.

  17. A Mathematical Model of Collective Cell Migration in a Three-Dimensional, Heterogeneous Environment

    Science.gov (United States)

    Stonko, David P.; Manning, Lathiena; Starz-Gaiano, Michelle; Peercy, Bradford E.

    2015-01-01

    Cell migration is essential in animal development, homeostasis, and disease progression, but many questions remain unanswered about how this process is controlled. While many kinds of individual cell movements have been characterized, less effort has been directed towards understanding how clusters of cells migrate collectively through heterogeneous, cellular environments. To explore this, we have focused on the migration of the border cells during Drosophila egg development. In this case, a cluster of different cell types coalesce and traverse as a group between large cells, called nurse cells, in the center of the egg chamber. We have developed a new model for this collective cell migration based on the forces of adhesion, repulsion, migration and stochastic fluctuation to generate the movement of discrete cells. We implement the model using Identical Math Cells, or IMCs. IMCs can each represent one biological cell of the system, or can be aggregated using increased adhesion forces to model the dynamics of larger biological cells. The domain of interest is filled with IMCs, each assigned specific biophysical properties to mimic a diversity of cell types. Using this system, we have successfully simulated the migration of the border cell cluster through an environment filled with larger cells, which represent nurse cells. Interestingly, our simulations suggest that the forces utilized in this model are sufficient to produce behaviors of the cluster that are observed in vivo, such as rotation. Our framework was developed to capture a heterogeneous cell population, and our implementation strategy allows for diverse, but precise, initial position specification over a three- dimensional domain. Therefore, we believe that this model will be useful for not only examining aspects of Drosophila oogenesis, but also for modeling other two or three-dimensional systems that have multiple cell types and where investigating the forces between cells is of interest. PMID:25875645

  18. User-experience surveys with maternity services: a randomized comparison of two data collection models.

    Science.gov (United States)

    Bjertnaes, Oyvind Andresen; Iversen, Hilde Hestad

    2012-08-01

    To compare two ways of combining postal and electronic data collection for a maternity services user-experience survey. Cross-sectional survey. Maternity services in Norway. All women who gave birth at a university hospital in Norway between 1 June and 27 July 2010. Patients were randomized into the following groups (n= 752): Group A, who were posted questionnaires with both electronic and paper response options for both the initial and reminder postal requests; and Group B, who were posted questionnaires with an electronic response option for the initial request, and both electronic and paper response options for the reminder postal request. Response rate, the amount of difference in background variables between respondents and non-respondents, main study results and estimated cost-effectiveness. The final response rate was significantly higher in Group A (51.9%) than Group B (41.1%). None of the background variables differed significantly between the respondents and non-respondents in Group A, while two variables differed significantly between the respondents and non-respondents in Group B. None of the 11 user-experience scales differed significantly between Groups A and B. The estimated costs per response for the forthcoming national survey was €11.7 for data collection Model A and €9.0 for Model B. The model with electronic-only response option in the first request had lowest response rate. However, this model performed equal to the other model on non-response bias and better on estimated cost-effectiveness, and is the better of the two models in large-scale user experiences surveys with maternity services.

  19. A mathematical model of collective cell migration in a three-dimensional, heterogeneous environment.

    Directory of Open Access Journals (Sweden)

    David P Stonko

    Full Text Available Cell migration is essential in animal development, homeostasis, and disease progression, but many questions remain unanswered about how this process is controlled. While many kinds of individual cell movements have been characterized, less effort has been directed towards understanding how clusters of cells migrate collectively through heterogeneous, cellular environments. To explore this, we have focused on the migration of the border cells during Drosophila egg development. In this case, a cluster of different cell types coalesce and traverse as a group between large cells, called nurse cells, in the center of the egg chamber. We have developed a new model for this collective cell migration based on the forces of adhesion, repulsion, migration and stochastic fluctuation to generate the movement of discrete cells. We implement the model using Identical Math Cells, or IMCs. IMCs can each represent one biological cell of the system, or can be aggregated using increased adhesion forces to model the dynamics of larger biological cells. The domain of interest is filled with IMCs, each assigned specific biophysical properties to mimic a diversity of cell types. Using this system, we have successfully simulated the migration of the border cell cluster through an environment filled with larger cells, which represent nurse cells. Interestingly, our simulations suggest that the forces utilized in this model are sufficient to produce behaviors of the cluster that are observed in vivo, such as rotation. Our framework was developed to capture a heterogeneous cell population, and our implementation strategy allows for diverse, but precise, initial position specification over a three- dimensional domain. Therefore, we believe that this model will be useful for not only examining aspects of Drosophila oogenesis, but also for modeling other two or three-dimensional systems that have multiple cell types and where investigating the forces between cells is of

  20. Geologic mapping of the Amirani-Gish Bar region of Io: Implications for the global geologic mapping of Io

    Science.gov (United States)

    Williams, D.A.; Keszthelyi, L.P.; Crown, D.A.; Jaeger, W.L.; Schenk, P.M.

    2007-01-01

    We produced the first geologic map of the Amirani-Gish Bar region of Io, the last of four regional maps generated from Galileo mission data. The Amirani-Gish Bar region has five primary types of geologic materials: plains, mountains, patera floors, flows, and diffuse deposits. The flows and patera floors are thought to be compositionally similar, but are subdivided based on interpretations regarding their emplacement environments and mechanisms. Our mapping shows that volcanic activity in the Amirani-Gish Bar region is dominated by the Amirani Eruptive Center (AEC), now recognized to be part of an extensive, combined Amirani-Maui flow field. A mappable flow connects Amirani and Maui, suggesting that Maui is fed from Amirani, such that the post-Voyager designation "Maui Eruptive Center" should be revised. Amirani contains at least four hot spots detected by Galileo, and is the source of widespread bright (sulfur?) flows and active dark (silicate?) flows being emplaced in the Promethean style (slowly emplaced, compound flow fields). The floor of Gish Bar Patera has been partially resurfaced by dark lava flows, although other parts of its floor are bright and appeared unchanged during the Galileo mission. This suggests that the floor did not undergo complete resurfacing as a lava lake as proposed for other ionian paterae. There are several other hot spots in the region that are the sources of both active dark flows (confined within paterae), and SO2- and S2-rich diffuse deposits. Mapped diffuse deposits around fractures on mountains and in the plains appear to serve as the source for gas venting without the release of magma, an association previously unrecognized in this region. The six mountains mapped in this region exhibit various states of degradation. In addition to gaining insight into this region of Io, all four maps are studied to assess the best methodology to use to produce a new global geologic map of Io based on the newly released, combined Galileo