WorldWideScience

Sample records for delayed information flow

  1. Improvement in Delay of Information flow in Energy Efficiency Organization

    Directory of Open Access Journals (Sweden)

    Elham Hasanzadeh

    2010-09-01

    Full Text Available One of the most important issues in task organization is service speed and reduction of delays. High speedin tasks and reduction of delay cause high performance in task organization. So many studies have done inthis field. Some of these studies during the past ten years are redesigning tasks in information process,using the simulation product development, designing and manufacturing managing supply chain, and FINCmethodology which has been used in military of American and Australia.In this article FINC methodology is modified for a business organization. The proposed method applied oninformation flows of current situation of Iran energy efficiency organization. Mind manager software isused for viewing it by social network analysis and then FINC methodology for calculation of delay rate onit. Sum of delay rate with delays in decision nodes was added and then improved.

  2. Heat dissipation and information flow for delayed bistable Langevin systems near coherence resonance

    Science.gov (United States)

    Xiao, Tiejun

    2016-11-01

    In this paper, stochastic thermodynamics of delayed bistable Langevin systems near coherence resonance is discussed. We calculate the heat dissipation rate and the information flow of a delayed bistable Langevin system under various noise intensities. Both the heat dissipation rate and the information flow are found to be bell-shaped functions of the noise intensity, which implies that coherence resonance manifests itself in the thermodynamic properties.

  3. Delayed information flow effect in economy systems. An ACP model study

    CERN Document Server

    Miskiewicz, J; Miskiewicz, Janusz; Ausloos, Marcel

    2006-01-01

    Applying any strategy requires some knowledge about the past state of the system. Unfortunately in the case of economy collecting information is a difficult, expensive and time consuming process. Therefore the information about the system is known at the end of some well defined intervals, e. g. company reports, inflation data, GDP etc. They describe a (market) situation in the past. The time delay is specific to the market branch. It can be very short (e.g. stock market offer is updated every minute or so and this information is immediately available) or long, like months in the case of agricultural market, when the decisions are taken based on the results from the previous harvest. The analysis of the information flow delay can be based on the ACP model of spatial evolution of economic systems. The entities can move on a square lattice and when meeting take one of the two following decisions: merge or create a new entity. The decision is based on the system state, which is known with some time delay. The ef...

  4. Delaying information search

    Directory of Open Access Journals (Sweden)

    Yaniv Shani

    2012-11-01

    Full Text Available In three studies, we examined factors that may temporarily attenuate information search. People are generally curious and dislike uncertainty, which typically encourages them to look for relevant information. Despite these strong forces that promote information search, people sometimes deliberately delay obtaining valuable information. We find they may do so when they are concerned that the information might interfere with future pleasurable activities. Interestingly, the decision to search or to postpone searching for information is influenced not only by the value and importance of the information itself but also by well-being maintenance goals related to possible detrimental effects that negative knowledge may have on unrelated future plans.

  5. Measuring information-transfer delays.

    Directory of Open Access Journals (Sweden)

    Michael Wibral

    Full Text Available In complex networks such as gene networks, traffic systems or brain circuits it is important to understand how long it takes for the different parts of the network to effectively influence one another. In the brain, for example, axonal delays between brain areas can amount to several tens of milliseconds, adding an intrinsic component to any timing-based processing of information. Inferring neural interaction delays is thus needed to interpret the information transfer revealed by any analysis of directed interactions across brain structures. However, a robust estimation of interaction delays from neural activity faces several challenges if modeling assumptions on interaction mechanisms are wrong or cannot be made. Here, we propose a robust estimator for neuronal interaction delays rooted in an information-theoretic framework, which allows a model-free exploration of interactions. In particular, we extend transfer entropy to account for delayed source-target interactions, while crucially retaining the conditioning on the embedded target state at the immediately previous time step. We prove that this particular extension is indeed guaranteed to identify interaction delays between two coupled systems and is the only relevant option in keeping with Wiener's principle of causality. We demonstrate the performance of our approach in detecting interaction delays on finite data by numerical simulations of stochastic and deterministic processes, as well as on local field potential recordings. We also show the ability of the extended transfer entropy to detect the presence of multiple delays, as well as feedback loops. While evaluated on neuroscience data, we expect the estimator to be useful in other fields dealing with network dynamics.

  6. Controlling flow time delays in flexible manufacturing cells

    NARCIS (Netherlands)

    Slomp, J.; Caprihan, R.; Bokhorst, J. A. C.

    2009-01-01

    Flow time delays in Flexible Manufacturing Cells (FMCs) are caused by transport and clamping/reclamping activities. This paper shows how dynamic scheduling parameters may control the flow times of jobs and the available task windows for flow time delays.

  7. Continuous information flow fluctuations

    Science.gov (United States)

    Rosinberg, Martin Luc; Horowitz, Jordan M.

    2016-10-01

    Information plays a pivotal role in the thermodynamics of nonequilibrium processes with feedback. However, much remains to be learned about the nature of information fluctuations in small-scale devices and their relation with fluctuations in other thermodynamics quantities, like heat and work. Here we derive a series of fluctuation theorems for information flow and partial entropy production in a Brownian particle model of feedback cooling and extend them to arbitrary driven diffusion processes. We then analyze the long-time behavior of the feedback-cooling model in detail. Our results provide insights into the structure and origin of large deviations of information and thermodynamic quantities in autonomous Maxwell's demons.

  8. Effect of Mixed Traffic Flow on Control Delay at Signalized ...

    African Journals Online (AJOL)

    Effect of Mixed Traffic Flow on Control Delay at Signalized Intersections. ... Journal of Civil Engineering Research and Practice ... There are several methods available for operational analysis including mathematical models and traffic ...

  9. Information and information flow an introduction

    CERN Document Server

    Bremer, Manuel

    2004-01-01

    This book is conceived as an introductory text into the theory of syntactic and semantic information, and information flow. Syntactic information theory is concerned with the information contained in the very fact that some signal has a non-random structure. Semantic information theory is concerned with the meaning or information content of messages and the like. The theory of information flow is concerned with deriving some piece of information from another. The main part will take us to situation semantics as a foundation of modern approaches in information theory. We give a brief overview o

  10. Communication nets stochastic message flow and delay

    CERN Document Server

    Kleinrock, Leonard

    2007-01-01

    Considerable research has been devoted to the formulation and solution of problems involving flow within connected networks. Independent of these surveys, an extensive body of knowledge has accumulated on the subject of queues, particularly in regard to stochastic flow through single-node servicing facilities. This text combines studies of connected networks with those of stochastic flow, providing a basis for understanding the general behavior and operation of communication networks in realistic situations.Author Leonard Kleinrock of the Computer Science Department at UCLA created the basic p

  11. Quantifying information flow during emergencies

    National Research Council Canada - National Science Library

    Gao, Liang; Song, Chaoming; Gao, Ziyou; Barabási, Albert-László; Bagrow, James P; Wang, Dashun

    2014-01-01

    ... to propagate situational awareness. We study real anomalous events using country-wide mobile phone data, finding that information flow during emergencies is dominated by repeated communications...

  12. Optimal Control Strategies in Delayed Sharing Information Structures

    CERN Document Server

    Nayyar, Ashutosh; Teneketzis, Demosthenis

    2010-01-01

    The $n$-step delayed sharing information structure is investigated. This information structure comprises of $K$ controllers that share their information with a delay of $n$ time steps. This information structure is a link between the classical information structure, where information is shared perfectly between the controllers, and a non-classical information structure, where there is no "lateral" sharing of information among the controllers. Structural results for optimal control strategies for systems with such information structures are presented. A sequential methodology for finding the optimal strategies is also derived. The solution approach provides an insight for identifying structural results and sequential decomposition for general decentralized stochastic control problems.

  13. Information Flow in Animal-Robot Interactions

    Directory of Open Access Journals (Sweden)

    Sachit Butail

    2014-02-01

    Full Text Available The nonverbal transmission of information between social animals is a primary driving force behind their actions and, therefore, an important quantity to measure in animal behavior studies. Despite its key role in social behavior, the flow of information has only been inferred by correlating the actions of individuals with a simplifying assumption of linearity. In this paper, we leverage information-theoretic tools to relax this assumption. To demonstrate the feasibility of our approach, we focus on a robotics-based experimental paradigm, which affords consistent and controllable delivery of visual stimuli to zebrafish. Specifically, we use a robotic arm to maneuver a life-sized replica of a zebrafish in a predetermined trajectory as it interacts with a focal subject in a test tank. We track the fish and the replica through time and use the resulting trajectory data to measure the transfer entropy between the replica and the focal subject, which, in turn, is used to quantify one-directional information flow from the robot to the fish. In agreement with our expectations, we find that the information flow from the replica to the zebrafish is significantly more than the other way around. Notably, such information is specifically related to the response of the fish to the replica, whereby we observe that the information flow is reduced significantly if the motion of the replica is randomly delayed in a surrogate dataset. In addition, comparison with a control experiment, where the replica is replaced by a conspecific, shows that the information flow toward the focal fish is significantly more for a robotic than a live stimulus. These findings support the reliability of using transfer entropy as a measure of information flow, while providing indirect evidence for the efficacy of a robotics-based platform in animal behavioral studies.

  14. Information Flow Analysis for VHDL

    DEFF Research Database (Denmark)

    Tolstrup, Terkel Kristian; Nielson, Flemming; Nielson, Hanne Riis

    2005-01-01

    We describe a fragment of the hardware description language VHDL that is suitable for implementing the Advanced Encryption Standard algorithm. We then define an Information Flow analysis as required by the international standard Common Criteria. The goal of the analysis is to identify the entire...... information flow through the VHDL program. The result of the analysis is presented as a non-transitive directed graph that connects those nodes (representing either variables or signals) where an information flow might occur. We compare our approach to that of Kemmerer and conclude that our approach yields...

  15. Information transfer via implicit encoding with delay time modulation in a time-delay system

    Energy Technology Data Exchange (ETDEWEB)

    Kye, Won-Ho, E-mail: whkye@kipo.go.kr [Korean Intellectual Property Office, Government Complex Daejeon Building 4, 189, Cheongsa-ro, Seo-gu, Daejeon 302-701 (Korea, Republic of)

    2012-08-20

    A new encoding scheme for information transfer with modulated delay time in a time-delay system is proposed. In the scheme, the message is implicitly encoded into the modulated delay time. The information transfer rate as a function of encoding redundancy in various noise scales is presented and it is analyzed that the implicit encoding scheme (IES) has stronger resistance against channel noise than the explicit encoding scheme (EES). In addition, its advantages in terms of secure communication and feasible applications are discussed. -- Highlights: ► We propose new encoding scheme with delay time modulation. ► The message is implicitly encoded with modulated delay time. ► The proposed scheme shows stronger resistance against channel noise.

  16. Delayed early proprioceptive information processing in schizophrenia.

    Science.gov (United States)

    Arnfred, Sidse M; Hemmingsen, Ralf P; Parnas, Josef

    2006-12-01

    It was first suggested that disordered proprioception was a core feature of schizophrenia by Sandor Rado in 1953. Using a recently designed proprioceptive event-related potential paradigm based on a change of load, we studied 12 unmedicated male out-patients with schizophrenia and 24 controls. In the patients, the early contralateral parietal activity was delayed and later central activity had increased amplitude, but gating was unaffected. The results could be understood within the "deficiency of corollary discharge" model of schizophrenia but not within the "filtering" theory. Further studies, including psychiatric controls, are necessary to verify the specificity of the abnormality.

  17. Delayed early proprioceptive information processing in schizophrenia

    DEFF Research Database (Denmark)

    Arnfred, Sidse M; Hemmingsen, RP; Parnas, Josef;

    2006-01-01

    It was first suggested that disordered proprioception was a core feature of schizophrenia by Sandor Rado in 1953. Using a recently designed proprioceptive event-related potential paradigm based on a change of load, we studied 12 unmedicated male out-patients with schizophrenia and 24 controls....... In the patients, the early contralateral parietal activity was delayed and later central activity had increased amplitude, but gating was unaffected. The results could be understood within the "deficiency of corollary discharge" model of schizophrenia but not within the "filtering" theory. Further studies...

  18. Delayed early proprioceptive information processing in schizophrenia

    DEFF Research Database (Denmark)

    Arnfred, Sidse M; Hemmingsen, RP; Parnas, Josef

    2006-01-01

    It was first suggested that disordered proprioception was a core feature of schizophrenia by Sandor Rado in 1953. Using a recently designed proprioceptive event-related potential paradigm based on a change of load, we studied 12 unmedicated male out-patients with schizophrenia and 24 controls....... In the patients, the early contralateral parietal activity was delayed and later central activity had increased amplitude, but gating was unaffected. The results could be understood within the "deficiency of corollary discharge" model of schizophrenia but not within the "filtering" theory. Further studies...

  19. Thermodynamics with Continuous Information Flow

    National Research Council Canada - National Science Library

    Horowitz, Jordan M; Esposito, Massimiliano

    2014-01-01

    .... We show that many important results previously derived for nonautonomous Maxwell demons can be recovered from our formalism and use a cycle decomposition to analyze the continuous information flow...

  20. Content analysis in information flows

    Energy Technology Data Exchange (ETDEWEB)

    Grusho, Alexander A. [Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Vavilova str., 44/2, Moscow (Russian Federation); Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow (Russian Federation); Grusho, Nick A.; Timonina, Elena E. [Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Vavilova str., 44/2, Moscow (Russian Federation)

    2016-06-08

    The paper deals with architecture of content recognition system. To analyze the problem the stochastic model of content recognition in information flows was built. We proved that under certain conditions it is possible to solve correctly a part of the problem with probability 1, viewing a finite section of the information flow. That means that good architecture consists of two steps. The first step determines correctly certain subsets of contents, while the second step may demand much more time for true decision.

  1. Source Coding When the Side Information May Be Delayed

    CERN Document Server

    Simeone, Osvaldo

    2011-01-01

    For memoryless sources, delayed side information at the decoder does not improve the rate-distortion function. However, this is not the case for more general sources with memory, as demonstrated by a number of works focusing on the special case of (delayed) feedforward. In this paper, a setting is studied in which the encoder is potentially uncertain about the delay with which measurements of the side information are acquired at the decoder. Assuming a hidden Markov model for the sources, at first, a single-letter characterization is given for the set-up where the side information delay is arbitrary and known at the encoder, and the reconstruction at the destination is required to be (near) lossless. Then, with delay equal to zero or one source symbol, a single-letter characterization is given of the rate-distortion region for the case where side information may be delayed or not, unbeknownst to the encoder. The characterization is further extended to allow for additional information to be sent when the side ...

  2. Efficient Timetable Information in the Presence of Delays

    Science.gov (United States)

    Müller-Hannemann, Matthias; Schnee, Mathias

    The search for train connections in state-of-the-art commercial timetable information systems is based on a static schedule. Unfortunately, public transportation systems suffer from delays for various reasons. Thus, dynamic changes of the planned schedule have to be taken into account. A system that has access to delay information about trains (and uses this information within search queries) can provide valid alternatives in case a connection does not work. Additionally, it can be used to actively guide passengers as these alternatives may be presented before the passenger is already stranded at a station due to an invalid transfer.

  3. Exchange Rate Forecasting with Information Flow Approach

    Directory of Open Access Journals (Sweden)

    Irena Mačerinskienė

    2016-06-01

    Full Text Available The purpose of this article is to assess exchange rate forecasting possibilities with an information flow approach model. In the model the three types of information flows are distinguished: fundamental analysis information flow through particular macroeconomic determinants, microstructure approach information flow through dealer clients’ positioning data, technical analysis information flow through technical indicators. By using regression analysis it is shown that the composed model can forecast the exchange rate, the most significant information flows are distinguished. The results lead to further development of the information flow approach as a tool to forecast exchange rate fluctuations.

  4. Exchange Rate Forecasting with Information Flow Approach

    OpenAIRE

    Irena Mačerinskienė; Andrius Balčiūnas

    2016-01-01

    The purpose of this article is to assess exchange rate forecasting possibilities with an information flow approach model. In the model the three types of information flows are distinguished: fundamental analysis information flow through particular macroeconomic determinants, microstructure approach information flow through dealer clients’ positioning data, technical analysis information flow through technical indicators. By using regression analysis it is shown that the composed model can for...

  5. Assured information flow capping architecture

    Science.gov (United States)

    Black, M. D.; Carvin, N. A.

    1985-05-01

    The Tactical Air Control System (TACS) is that set of Tactical Air Force assets used to assess the air and ground situation, and to plan, allocate, commit, and control assigned resources. Previous studies noted that the TACS elements should be more highly distributed to improve survivability in the battlefield of the future. This document reports on the results of the Assured Information Flow Capping Architecture study, which developed governing concepts for communications architectures that can support the information flow requirements of a future, distributed TACS. Architecture comprising existing and planned communications equipment were postulated and compared with a set of goals to identify deficiencies. Architectures using new equipment that resolve many of the deficiencies were then postulated, and areas needing further investigation were identified.

  6. Information Flow for Timed Automata

    DEFF Research Database (Denmark)

    Nielson, Flemming; Nielson, Hanne Riis; Vasilikos, Panagiotis

    2017-01-01

    One of the key demands of cyberphysical systems is that they meet their safety goals. Timed Automata has established itself as a formalism for modelling and analysing the real-time safety aspects of cyberphysical systems. Increasingly it is also demanded that cyberphysical systems meet a number o...... of security goals for confidentiality and integrity. Information Flow Control is an approach to ensuring that there are no flows of information that violate the stated security policy.......One of the key demands of cyberphysical systems is that they meet their safety goals. Timed Automata has established itself as a formalism for modelling and analysing the real-time safety aspects of cyberphysical systems. Increasingly it is also demanded that cyberphysical systems meet a number...

  7. Delayed excitatory and inhibitory feedback shape neural information transmission

    Science.gov (United States)

    Chacron, Maurice J.; Longtin, André; Maler, Leonard

    2017-01-01

    Feedback circuitry with conduction and synaptic delays is ubiquitous in the nervous system. Yet the effects of delayed feedback on sensory processing of natural signals are poorly understood. This study explores the consequences of delayed excitatory and inhibitory feedback inputs on the processing of sensory information. We show, through numerical simulations and theory, that excitatory and inhibitory feedback can alter the firing frequency response of stochastic neurons in opposite ways by creating dynamical resonances, which in turn lead to information resonances (i.e., increased information transfer for specific ranges of input frequencies). The resonances are created at the expense of decreased information transfer in other frequency ranges. Using linear response theory for stochastically firing neurons, we explain how feedback signals shape the neural transfer function for a single neuron as a function of network size. We also find that balanced excitatory and inhibitory feedback can further enhance information tuning while maintaining a constant mean firing rate. Finally, we apply this theory to in vivo experimental data from weakly electric fish in which the feedback loop can be opened. We show that it qualitatively predicts the observed effects of inhibitory feedback. Our study of feedback excitation and inhibition reveals a possible mechanism by which optimal processing may be achieved over selected frequency ranges. PMID:16383655

  8. Economy with the time delay of information flow—The stock market case

    Science.gov (United States)

    Miśkiewicz, Janusz

    2012-02-01

    Any decision process requires information about the past and present state of the system, but in an economy acquiring data and processing it is an expensive and time-consuming task. Therefore, the state of the system is often measured over some legal interval, analysed after the end of well defined time periods and the results announced much later before any strategic decision is envisaged. The various time delay roles have to be crucially examined. Here, a model of stock market coupled with an economy is investigated to emphasise the role of the time delay span on the information flow. It is shown that the larger the time delay the more important the collective behaviour of agents since one observes time oscillations in the absolute log-return autocorrelations.

  9. 75 FR 13238 - Processed Raspberry Promotion, Research, and Information Order; Delay of Referendum

    Science.gov (United States)

    2010-03-19

    ... Promotion, Research, and Information Order; Delay of Referendum AGENCY: Agricultural Marketing Service, Agriculture, USDA. ACTION: Proposed rule and referendum order; delay of referendum. SUMMARY: This action delays indefinitely the referendum to determine whether producers of raspberries for processing and...

  10. A time delay artificial neural network approach for flow routing in a river system

    Directory of Open Access Journals (Sweden)

    M. J. Diamantopoulou

    2006-09-01

    Full Text Available River flow routing provides basic information on a wide range of problems related to the design and operation of river systems. In this paper, three layer cascade correlation Time Delay Artificial Neural Network (TDANN models have been developed to forecast the one day ahead daily flow at Ilarionas station on the Aliakmon river, in Northern Greece. The networks are time lagged feed-formatted with delayed memory processing elements at the input layer. The network topology is using multiple inputs, which include the time lagged daily flow values further up at Siatista station on the Aliakmon river and at Grevena station on the Venetikos river, which is a tributary to the Aliakmon river and a single output, which are the daily flow values at Ilarionas station. The choice of the input variables introduced to the input layer was based on the cross-correlation. The use of cross-correlation between the ith input series and the output provides a short cut to the problem of the delayed memory determination. Kalman's learning rule was used to modify the artificial neural network weights. The networks are designed by putting weights between neurons, by using the hyperbolic-tangent function for training. The number of nodes in the hidden layer was determined based on the maximum value of the correlation coefficient. The results show a good performance of the TDANN approach for forecasting the daily flow values, at Ilarionas station and demonstrate its adequacy and potential for river flow routing. The TDANN approach introduced in this study is sufficiently general and has great potential to be applicable to many hydrological and environmental applications.

  11. Trade-Offs in Delayed Information Transmission in Biochemical Networks

    Science.gov (United States)

    Mancini, F.; Marsili, M.; Walczak, A. M.

    2016-03-01

    In order to transmit biochemical signals, biological regulatory systems dissipate energy with concomitant entropy production. Additionally, signaling often takes place in challenging environmental conditions. In a simple model regulatory circuit given by an input and a delayed output, we explore the trade-offs between information transmission and the system's energetic efficiency. We determine the maximally informative network, given a fixed amount of entropy production and a delayed response, exploring both the case with and without feedback. We find that feedback allows the circuit to overcome energy constraints and transmit close to the maximum available information even in the dissipationless limit. Negative feedback loops, characteristic of shock responses, are optimal at high dissipation. Close to equilibrium positive feedback loops, known for their stability, become more informative. Asking how the signaling network should be constructed to best function in the worst possible environment, rather than an optimally tuned one or in steady state, we discover that at large dissipation the same universal motif is optimal in all of these conditions.

  12. Energy-Delay Considerations in Coded Packet Flows

    CERN Document Server

    Lucani, Daniel E

    2011-01-01

    We consider a line of terminals which is connected by packet erasure channels and where random linear network coding is carried out at each node prior to transmission. In particular, we address an online approach in which each terminal has local information to be conveyed to the base station at the end of the line and provide a queueing theoretic analysis of this scenario. First, a genie-aided scenario is considered and the average delay and average transmission energy depending on the link erasure probabilities and the Poisson arrival rates at each node are analyzed. We then assume that all nodes cannot send and receive at the same time. The transmitting nodes in the network send coded data packets before stopping to wait for the receiving nodes to acknowledge the number of degrees of freedom, if any, that are required to decode correctly the information. We analyze this problem for an infinite queue size at the terminals and show that there is an optimal number of coded data packets at each node, in terms o...

  13. Low Delay Wyner-Ziv Coding Using Optical Flow

    DEFF Research Database (Denmark)

    Salmistraro, Matteo; Forchhammer, Søren

    2014-01-01

    Distributed Video Coding (DVC) is a video coding paradigm that exploits the source statistics at the decoder based on the availability of the Side Information (SI). The SI can be seen as a noisy version of the source, and the lower the noise the higher the RD performance of the decoder. The SI...... on preceding frames for the generation of the SI by means of Optical Flow (OF), which is also used in the refinement step of the SI for enhanced RD performance. Compared with a state-of-the-art extrapolation-based decoder the proposed solution achieves RD Bjontegaard gains up to 1.3 dB....

  14. The Information Flow Analyzing Based on CPC

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhang; LI Hui

    2005-01-01

    The information flow chart within product life cycle is given out based on collaborative production commerce (CPC) thoughts. In this chart, the separated information systems are integrated by means of enterprise knowledge assets that are promoted by CPC from production knowledge. The information flow in R&D process is analyzed in the environment of virtual R&D group and distributed PDM. In addition, the information flow throughout the manufacturing and marketing process is analyzed in CPC environment.

  15. Periodic flows to chaos in time-delay systems

    CERN Document Server

    Luo, Albert C J

    2017-01-01

    This book for the first time examines periodic motions to chaos in time-delay systems, which exist extensively in engineering. For a long time, the stability of time-delay systems at equilibrium has been of great interest from the Lyapunov theory-based methods, where one cannot achieve the ideal results. Thus, time-delay discretization in time-delay systems was used for the stability of these systems. In this volume, Dr. Luo presents an accurate method based on the finite Fourier series to determine periodic motions in nonlinear time-delay systems. The stability and bifurcation of periodic motions are determined by the time-delayed system of coefficients in the Fourier series and the method for nonlinear time-delay systems is equivalent to the Laplace transformation method for linear time-delay systems. Facilitates discovery of analytical solutions of nonlinear time-delay systems; Illustrates bifurcation trees of periodic motions to chaos; Helps readers identify motion complexity and singularity; Explains pro...

  16. Influence of information flow in the formation of economic cycles

    CERN Document Server

    Miskiewicz, J; Miskiewicz, Janusz; Ausloos, Marcel

    2005-01-01

    A microscopic approach to macroeconomic features is intended. A model for macroeconomic behavior based on the Ausloos-Clippe-Pekalski model is built and investigated. The influence of a discrete time information transfer is investigated. The formation of economic cycles is observed as a function of the time of information delay. Three regions of delay time are recognized: short $t_d \\in (2 IS, 4 IS)$ (IS - iteration steps) - the system evolves toward a unique stable equilibrium state, medium $t_d =5 IS $ or $t_d =6 IS $, the system undergoes oscillations: stable concentration cycles appear in the system. For long information flow delay times, $t_d \\geq 7$, the systems may crash for most initial concentrations. However, even in the case of long delay time the crash time may be long enough to allow observation of the system evolution and to introduce an appropriate strategy in order to avoid the collapse of the e.g. company concentration. In the long time delay it is also possible to observe an "economy resonan...

  17. Car Delay Model near Bus Stops with Mixed Traffic Flow

    Directory of Open Access Journals (Sweden)

    Yang Xiaobao

    2013-01-01

    Full Text Available This paper proposes a model for estimating car delays at bus stops under mixed traffic using probability theory and queuing theory. The roadway is divided to serve motorized and nonmotorized traffic streams. Bus stops are located on the nonmotorized lanes. When buses dwell at the stop, they block the bicycles. Thus, two conflict points between car stream and other traffic stream are identified. The first conflict point occurs as bicycles merge to the motorized lane to avoid waiting behind the stopping buses. The second occurs as buses merge back to the motorized lane. The average car delay is estimated as the sum of the average delay at these two conflict points and the delay resulting from following the slower bicycles that merged into the motorized lane. Data are collected to calibrate and validate the developed model from one site in Beijing. The sensitivity of car delay to various operation conditions is examined. The results show that both bus stream and bicycle stream have significant effects on car delay. At bus volumes above 200 vehicles per hour, the curbside stop design is not appropriate because of the long car delays. It can be replaced by the bus bay design.

  18. Many-to-Many Information Flow Policies

    DEFF Research Database (Denmark)

    Baldan, Paolo; Beggiato, Alessandro; Lluch Lafuente, Alberto

    2017-01-01

    Information flow techniques typically classify information according to suitable security levels and enforce policies that are based on binary relations between individual levels, e.g., stating that information is allowed to flow from one level to another. We argue that some information flow...... of security levels, thus allowing to capture coordinated flows of information. The flow of information is expressed in terms of causal dependencies and the satisfaction of a policy is defined with respect to an event structure that is assumed to capture the causal structure of system computations. We suggest...... properties of interest naturally require coordination patterns that involve sets of security levels rather than individual levels: some secret information could be safely disclosed to a set of confidential channels of incomparable security levels, with individual leaks considered instead illegal; a group...

  19. Delaying Modified QUICK Scheme and its Application in Slug Flow

    Institute of Scientific and Technical Information of China (English)

    LU Yuan-Wei; HE An-Ding; WANG Yue-She; ZHOU Fang-De

    2001-01-01

    Calculations of several classic questions in numerical heat transfer with delaying modified QUICKscheme show good agreement with benchmark. Combining volume of fluid model with the well known SIMPLEC method, the reasonable Taylor bubble shape has been obtained by using delaying modified QUICK scheme and donoracceptor scheme of inteffacial advection respectively. At the same time the stream field and the liquid film thickness around the Taylor bubble have been well figured out.

  20. Information flow dynamics in the brain

    Science.gov (United States)

    Rabinovich, Mikhail I.; Afraimovich, Valentin S.; Bick, Christian; Varona, Pablo

    2012-03-01

    Timing and dynamics of information in the brain is a hot field in modern neuroscience. The analysis of the temporal evolution of brain information is crucially important for the understanding of higher cognitive mechanisms in normal and pathological states. From the perspective of information dynamics, in this review we discuss working memory capacity, language dynamics, goal-dependent behavior programming and other functions of brain activity. In contrast with the classical description of information theory, which is mostly algebraic, brain flow information dynamics deals with problems such as the stability/instability of information flows, their quality, the timing of sequential processing, the top-down cognitive control of perceptual information, and information creation. In this framework, different types of information flow instabilities correspond to different cognitive disorders. On the other hand, the robustness of cognitive activity is related to the control of the information flow stability. We discuss these problems using both experimental and theoretical approaches, and we argue that brain activity is better understood considering information flows in the phase space of the corresponding dynamical model. In particular, we show how theory helps to understand intriguing experimental results in this matter, and how recent knowledge inspires new theoretical formalisms that can be tested with modern experimental techniques.

  1. Information Flow Settings in Building Rehabilitation

    Science.gov (United States)

    Elwazani, S.; Gandikota, S.

    2017-08-01

    Apart from the usual field technical survey information for establishing the building configurations and fabric conditions, information flow for a rehabilitation project begins earlier with the need for authenticating the building as a significant heritage item and ends subsequently with validating the rehabilitation of the building. These three genres of the information are recognized under three information settings. This study investigates the first, the setting associated with authenticating the significance of the building. The discussion is structured around the process of evaluating building significance for the purpose of listing the building on the National Register of Historic Places (NRHP) and, accordingly, recognizes the NRHP framework for nominating properties to the Register. With due consideration to the concomitant information and documentation along the nomination process, and with the "historic context" as a core significance assessment strategy, the study aims at: a) explaining the configuration of the historic context; b) clarifying the role of the building itself in developing the historic context; and, c) identifying the attributes of information flow. The study arrived at the following conclusions. Investigating "the information associated with authenticating the significance of the building," the focus of this study, as an information setting of a spectrum of three helps define the global information flow in building rehabilitation. Steeped in research, the historic context configuration and development steps regulate the information flow of this setting. The knowledge and dexterity of the researcher in configuring and developing the historic context enhances the clarity and characteristics of information flow.

  2. A Policy Model for Secure Information Flow

    Science.gov (United States)

    Adetoye, Adedayo O.; Badii, Atta

    When a computer program requires legitimate access to confidential data, the question arises whether such a program may illegally reveal sensitive information. This paper proposes a policy model to specify what information flow is permitted in a computational system. The security definition, which is based on a general notion of information lattices, allows various representations of information to be used in the enforcement of secure information flow in deterministic or nondeterministic systems. A flexible semantics-based analysis technique is presented, which uses the input-output relational model induced by an attacker’s observational power, to compute the information released by the computational system. An illustrative attacker model demonstrates the use of the technique to develop a termination-sensitive analysis. The technique allows the development of various information flow analyses, parametrised by the attacker’s observational power, which can be used to enforce what declassification policies.

  3. Hoare Logic for Disjunctive Information Flow

    DEFF Research Database (Denmark)

    Nielson, Hanne Riis; Nielson, Flemming; Li, Ximeng

    2015-01-01

    Information flow control extends access control by not only regulating who is allowed to access what data but also the subsequent use of the data accessed. Applications within communication networks require such information flow control to depend on the actual data. For a concurrent language...... with synchronous communication and separate data domains we develop a Hoare logic for enforcing disjunctive information flow policies. We establish the soundness of the Hoare logic with respect to an operational semantics and illustrate the development on a running example....

  4. Lattice models of traffic flow considering drivers' delay in response

    Institute of Scientific and Technical Information of China (English)

    Zhu Hui-Bing

    2009-01-01

    This paper proposes two lattice traffic models by taking into account the drivers'delay in response.The lattice versions of the hydrodynamic model are described by the differential-difference equation and difference-difference equation.respectively.The stability conditions for the two models are obtained by using the linear stability theory.The modified KdV equation near the critical point is derived to describe the traffic jam by using the reductive perturbation method,and the kink-antikink soliton solutions related to the traffic density waves are obtained.The results show that the drivers'delay in sensing headway plays an important role in jamming transition.

  5. Car Delay Model near Bus Stops with Mixed Traffic Flow

    OpenAIRE

    Yang Xiaobao; Huan Mei; Gao Ziyou

    2013-01-01

    This paper proposes a model for estimating car delays at bus stops under mixed traffic using probability theory and queuing theory. The roadway is divided to serve motorized and nonmotorized traffic streams. Bus stops are located on the nonmotorized lanes. When buses dwell at the stop, they block the bicycles. Thus, two conflict points between car stream and other traffic stream are identified. The first conflict point occurs as bicycles merge to the motorized lane to avoid waiting behind the...

  6. The phenomenon of information a conceptual approach to information flow

    CERN Document Server

    Pérez-Montoro, Mario

    2007-01-01

    This study examines critically major theories of information and offers an original treatment of information flows that attempts to remedy weaknesses in earlier treatments and may serve as a basis on which a satisfactory analysis of the concept of information can be developed.

  7. Disabilities Information Flow: A Disabilities Information Management System

    Science.gov (United States)

    Ling, Bin; Allison, Colin; Nicholl, J. Ross; Moodley, Luke; Roberts, Dave

    2006-01-01

    The Disabilities Information Flow (DIF) project at the University of St Andrews has sought to provide a means of efficiently managing all student disabilities information within the institution and provide appropriate role-based service interfaces for all staff who need to routinely interact with this information. This paper describes the software…

  8. Delay Estimates of Mixed Traffic Flow at Signalized Intersections in China

    Institute of Scientific and Technical Information of China (English)

    SU Yuelong; WEI Zheng; CHENG Sihan; YAO Danya; ZHANG Yi; LI Li

    2009-01-01

    Two characteristics of Chinese mixed traffic invalidate the conventional queuing delay estimates for western countries. First, the driving characteristics of Chinese drivers lead to different delays even though the other conditions are the same. Second, urban traffic flow in China is often hindered by pedestrians at intersections, such that imported intelligent traffic control systems do not work appropriately. Typical delay estimates for Chinese conditions were obtained from data for over 500 vehicle queues in Beijing collected using charge coupled device (CCD) cameras. The results show that the delays mainly depend on the pro-portion and positions of heavy vehicles in the queue, as well as the start-up situations (with or without inter-ference). A simplified delay estimation model considers vehicle types and positions that compares well with the observed traffic delays.

  9. Information Flows in Networked Engineering Design Projects

    DEFF Research Database (Denmark)

    Parraguez, Pedro; Maier, Anja

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

  10. Information flow analysis of interactome networks.

    Directory of Open Access Journals (Sweden)

    Patrycja Vasilyev Missiuro

    2009-04-01

    Full Text Available Recent studies of cellular networks have revealed modular organizations of genes and proteins. For example, in interactome networks, a module refers to a group of interacting proteins that form molecular complexes and/or biochemical pathways and together mediate a biological process. However, it is still poorly understood how biological information is transmitted between different modules. We have developed information flow analysis, a new computational approach that identifies proteins central to the transmission of biological information throughout the network. In the information flow analysis, we represent an interactome network as an electrical circuit, where interactions are modeled as resistors and proteins as interconnecting junctions. Construing the propagation of biological signals as flow of electrical current, our method calculates an information flow score for every protein. Unlike previous metrics of network centrality such as degree or betweenness that only consider topological features, our approach incorporates confidence scores of protein-protein interactions and automatically considers all possible paths in a network when evaluating the importance of each protein. We apply our method to the interactome networks of Saccharomyces cerevisiae and Caenorhabditis elegans. We find that the likelihood of observing lethality and pleiotropy when a protein is eliminated is positively correlated with the protein's information flow score. Even among proteins of low degree or low betweenness, high information scores serve as a strong predictor of loss-of-function lethality or pleiotropy. The correlation between information flow scores and phenotypes supports our hypothesis that the proteins of high information flow reside in central positions in interactome networks. We also show that the ranks of information flow scores are more consistent than that of betweenness when a large amount of noisy data is added to an interactome. Finally, we

  11. CPS Transformation of Flow Information, Part II

    DEFF Research Database (Denmark)

    Damian, D.; Danvy, Olivier

    2003-01-01

    the least solution. Preservation of least solutions solves a problem that was left open in Palsberg and Wand's article ‘CPS Transformation of Flow Information.’ Together, Palsberg and Wand's article and the present article show how to map in linear time the least solution of the flow constraints...... of a program into the least solution of the flow constraints of the CPS counterpart of this program, after administrative reductions. Furthermore, we show how to CPS transform control-flow information in one pass....... consider the administrative reductions of a Plotkin-style transformation into Continuation-Passing Style (CPS), and how they affect the result of a constraint-based control-flow analysis and, in particular, the least element in the space of solutions. We show that administrative reductions preserve...

  12. Managing Information Flow in ALICE

    CERN Document Server

    Augustinus, A; Moreno, A; Kurepin, A N; De Cataldo, G; Pinazza, O; Rosinský, P; Lechman, M; Jirdén, L S

    2011-01-01

    ALICE is one of the experiments at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. The ALICE detector control system is an integrated system collecting 18 different detectors’ controls and general services. Is implemented using the commercial SCADA package PVSS. Information of general interest, such as beam and condition data, and data related to shared plants or systems, are made available to all the subsystems via the distribution capabilities of PVSS. Great care has been taken to build a modular and hierarchical system, limiting the interdependencies of the various subsystems. Accessing remote resources in a PVSS distributed environment is very simple and can be initiated unilaterally. In order to improve the reliability of distributed data and to avoid unforeseen and unwished dependencies, the ALICE DCS group has enforced the centralization of global data required by the subsystems. A tool has been developed to monitor the level of interdependency and to understand the ...

  13. Cross-border flow of health information

    DEFF Research Database (Denmark)

    Di Iorio, Concetta Tania; Carinci, Fabrizio; Brillante, Massimo;

    2013-01-01

    The EUBIROD project aims to perform a cross-border flow of diabetes information across 19 European countries using the BIRO information system, which embeds privacy principles and data protection mechanisms in its architecture (privacy by design). A specific task of EUBIROD was to investigate the...

  14. Mapping information flow in sensorimotor networks.

    Directory of Open Access Journals (Sweden)

    Max Lungarella

    2006-10-01

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

  15. Umbilical blood flow patterns directly after birth before delayed cord clamping.

    Science.gov (United States)

    Boere, I; Roest, A A W; Wallace, E; Ten Harkel, A D J; Haak, M C; Morley, C J; Hooper, S B; te Pas, A B

    2015-03-01

    Delayed umbilical cord clamping (DCC) affects the cardiopulmonary transition and blood volume in neonates immediately after birth. However, little is known of blood flow in the umbilical vessels immediately after birth during DCC. The objective is to describe the duration and patterns of blood flow through the umbilical vessels during DCC. Arterial and venous umbilical blood flow was measured during DCC using Doppler ultrasound in uncomplicated term vaginal deliveries. Immediately after birth, the probe was placed in the middle of the umbilical cord, pattern and duration of flow in vein and arteries were evaluated until cord clamping. Thirty infants were studied. Venous flow: In 10% no flow was present, in 57% flow stopped at 4:34 (3:03-7:31) (median (IQR) min:sec) after birth, before the cord was clamped. In 33%, flow continued until cord clamping at 5:13 (2:56-9:15) min:sec. Initially, venous flow was intermittent, increasing markedly during large breaths or stopping and reversing during crying, but then became continuous. Arterial flow: In 17% no flow was present, in 40% flow stopped at 4:22 (2:29-7:17) min:sec, while cord pulsations were still palpable. In 43% flow continued until the cord was clamped at 5:16 (3:32-10:10) min:sec. Arterial flow was pulsatile, unidirectional towards placenta or bidirectional to/from placenta. In 40% flow became continuous towards placenta later on. During delayed umbilical cord clamping, venous and arterial umbilical flow occurs for longer than previously described. Net placental transfusion is probably the result of several factors of which breathing could play a major role. Umbilical flow is unrelated to cessation of pulsations. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  16. Information flow in the pharmaceutical supply chain.

    Science.gov (United States)

    Yousefi, Nazila; Alibabaei, Ahmad

    2015-01-01

    Managing the supply chain plays an important role in creating competitive advantages for companies. Adequate information flow in supply chain is one of the most important issues in SCM. Therefore, using certain Information Systems can have a significant role in managing and integrating data and information within the supply chain. Pharmaceutical supply chain is more complex than many other supply chains, in the sense that it can affect social and political perspectives. On the other hand, managing the pharmaceutical supply chain is difficult because of its complexity and also government regulations in this field. Although, Iran has progressed a lot in pharmaceutical manufacturing, still there are many unsolved issues in managing the information flow in the pharmaceutical supply chain. In this study, we reviewed the benefits of using different levels of an integrated information system in the supply chain and the possible challenges ahead.

  17. Quantitative Information Flow - Verification Hardness and Possibilities

    CERN Document Server

    Yasuoka, Hirotoshi

    2010-01-01

    Researchers have proposed formal definitions of quantitative information flow based on information theoretic notions such as the Shannon entropy, the min entropy, the guessing entropy, and channel capacity. This paper investigates the hardness and possibilities of precisely checking and inferring quantitative information flow according to such definitions. We prove that, even for just comparing two programs on which has the larger flow, none of the definitions is a k-safety property for any k, and therefore is not amenable to the self-composition technique that has been successfully applied to precisely checking non-interference. We also show a complexity theoretic gap with non-interference by proving that, for loop-free boolean programs whose non-interference is coNP-complete, the comparison problem is #P-hard for all of the definitions. For positive results, we show that universally quantifying the distribution in the comparison problem, that is, comparing two programs according to the entropy based definit...

  18. Information-transmission rates in manual control of unstable systems with time delays.

    Science.gov (United States)

    Lupu, Mircea F; Sun, Mingui; Wang, Fei-Yue; Mao, Zhi-Hong

    2015-01-01

    In analyzing the human-machine interaction (HMI), a human-centered approach is needed to address the potential and limitation of human control, especially in the control of high-order or unstable systems. However, there is no quantitative measure of the human performance or cognitive workload in these difficult HMI tasks. We propose to characterize the HMI as information flows quantified by the information-transmission rate in bits per second (b/s). Using information- and control-theoretic approaches, we derive the minimum rates of information transmission in manual control required by any deterministic controller to stabilize the feedback system. Furthermore, we suggest a method adopted from time-series analysis to estimate the information-transmission rate from human experiments. We show that the relationship between the empirically estimated information rates and the minimum bounds allows for the quantitative indication of the potential and limitation of human manual control. We illustrate our method in the control of an inverted pendulum with time delays.

  19. Numerical analysis on car-following traffic flow models with delay time

    Institute of Scientific and Technical Information of China (English)

    LI Li; SHI Peng-fei

    2006-01-01

    Effects of the speed relaxation time on the optimal velocity car-following model (OVM) with delay time due to driver reaction time proposed by Bando et al.(1995) were studied by numerical methods. Results showed that the OVM including the delay is not physically sensitive to the speed relaxation times. A modified car-following model is proposed to overcome the deficiency. Analyses of the linear stability of the modified model were conducted. It is shown that coexisting flows appear ifthe initial homogeneous headway of the traffic flow is between critical values. In addition, phase transitions occur on varying the initially homogeneous headway.

  20. Disjunctive Information Flow for Communicating Processes

    DEFF Research Database (Denmark)

    Li, Ximeng; Nielson, Flemming; Nielson, Hanne Riis

    2016-01-01

    The security validation of practical computer systems calls for the ability to specify and verify information flow policies that are dependent on data content. Such policies play an important role in concurrent, communicating systems: consider a scenario where messages are sent to different...... processes according to their tagging. We devise a security type system that enforces content-dependent information flow policies in the presence of communication and concurrency. The type system soundly guarantees a compositional noninterference property. All theoretical results have been formally proved...

  1. On Bounding Problems of Quantitative Information Flow

    CERN Document Server

    Yasuoka, Hirotoshi

    2011-01-01

    Researchers have proposed formal definitions of quantitative information flow based on information theoretic notions such as the Shannon entropy, the min entropy, the guessing entropy, belief, and channel capacity. This paper investigates the hardness of precisely checking the quantitative information flow of a program according to such definitions. More precisely, we study the "bounding problem" of quantitative information flow, defined as follows: Given a program M and a positive real number q, decide if the quantitative information flow of M is less than or equal to q. We prove that the bounding problem is not a k-safety property for any k (even when q is fixed, for the Shannon-entropy-based definition with the uniform distribution), and therefore is not amenable to the self-composition technique that has been successfully applied to checking non-interference. We also prove complexity theoretic hardness results for the case when the program is restricted to loop-free boolean programs. Specifically, we show...

  2. Synchronization transitions on small-world neuronal networks: Effects of information transmission delay and rewiring probability

    Science.gov (United States)

    Wang, Qingyun; Duan, Zhisheng; Perc, Matjaž; Chen, Guanrong

    2008-09-01

    Synchronization transitions are investigated in small-world neuronal networks that are locally modeled by the Rulkov map with additive spatiotemporal noise. In particular, we investigate the impact of different information transmission delays and rewiring probability. We show that short delays induce zigzag fronts of excitations, whereas intermediate delays can further detriment synchrony in the network due to a dynamic clustering anti-phase synchronization transition. Detailed investigations reveal, however, that for longer delay lengths the synchrony of excitations in the network can again be enhanced due to the emergence of in-phase synchronization. In addition, we show that an appropriate small-world topology can restore synchronized behavior provided information transmission delays are either short or long. On the other hand, within the intermediate delay region, which is characterized by anti-phase synchronization and clustering, differences in the network topology do not notably affect the synchrony of neuronal activity.

  3. INFORMATION FLOW ASSURED BY ITC CONTINUITY PLANNING

    Directory of Open Access Journals (Sweden)

    Gabriel Cozgarea

    2009-05-01

    Full Text Available Forwarding the frequent usage of complex processes and the big volume of information, it is imperative to manage the automatic circuit of the document flow in a company activity. The main advantage of such a system consist in document waiting to be proces

  4. Secure Refactoring with Java Information Flow

    DEFF Research Database (Denmark)

    Helke, Steffen; Kammüunietd kller, Florian; Probst, Christian W.

    2016-01-01

    Refactoring means that a program is changed without changing its behaviour from an observer's point of view. Does the change of behaviour also imply that the security of the program is not affected by the changes? Using Myers and Liskov's distributed information flow control model DLM and its Java...

  5. Ockham's razor and reasoning about information flow

    CERN Document Server

    Sadrzadeh, Mehrnoosh

    2008-01-01

    What is the minimal algebraic structure to reason about information flow? Do we really need the full power of Boolean algebras with co-closure and de Morgan dual operators? How much can we weaken and still be able to reason about multi-agent scenarios in a tidy compositional way? This paper provides some answers.

  6. Hierarchical social networks and information flow

    Science.gov (United States)

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

    2002-12-01

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

  7. A cellular automata traffic flow model considering the heterogeneity of acceleration and delay probability

    Science.gov (United States)

    Li, Qi-Lang; Wong, S. C.; Min, Jie; Tian, Shuo; Wang, Bing-Hong

    2016-08-01

    This study examines the cellular automata traffic flow model, which considers the heterogeneity of vehicle acceleration and the delay probability of vehicles. Computer simulations are used to identify three typical phases in the model: free-flow, synchronized flow, and wide moving traffic jam. In the synchronized flow region of the fundamental diagram, the low and high velocity vehicles compete with each other and play an important role in the evolution of the system. The analysis shows that there are two types of bistable phases. However, in the original Nagel and Schreckenberg cellular automata traffic model, there are only two kinds of traffic conditions, namely, free-flow and traffic jams. The synchronized flow phase and bistable phase have not been found.

  8. Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

    CERN Document Server

    Albers, D J

    2011-01-01

    This paper addresses how to calculate and interpret the time-delayed mutual information for a complex, diversely and sparsely measured, possibly non-stationary population of time-series of unknown composition and origin. The primary vehicle used for this analysis is a comparison between the time-delayed mutual information averaged over the population and the time-delayed mutual information of an aggregated population (here aggregation implies the population is conjoined before any statistical estimates are implemented). Through the use of information theoretic tools, a sequence of practically implementable calculations are detailed that allow for the average and aggregate time-delayed mutual information to be interpreted. Moreover, these calculations can be also be used to understand the degree of homo- or heterogeneity present in the population. To demonstrate that the proposed methods can be used in nearly any situation, the methods are applied and demonstrated on the time series of glucose measurements fro...

  9. Information flow through the disaster circle

    DEFF Research Database (Denmark)

    Egedorf, Maren Marie; Villanueva Holm-Nielsen, Pablo

    2015-01-01

    not necessarily flow across the phases of the circle in an effective manner. This is particularly true for the information that crosses the disaster point of the circle. Organisations carry out assessments, surveys and baselines for various purposes, at various points of time in the disaster circle. Output......The traditional view of the disaster circle is phase based. Disaster and development professionals recognize that the actions carried out in the various phases of the disaster management cycle are overlapping and build upon each other, having resilience as the overall goal. However information does...... is communicated in long reports that are very time consuming to review. These reports often contain information that is re-gathered in emergency assessments and don’t share the original data upon which conclusions were made. The paper aims to identify information required to make informed decisions in response...

  10. Information flow in heterogeneously interacting systems.

    Science.gov (United States)

    Yamaguti, Yutaka; Tsuda, Ichiro; Takahashi, Yoichiro

    2014-02-01

    Motivated by studies on the dynamics of heterogeneously interacting systems in neocortical neural networks, we studied heterogeneously-coupled chaotic systems. We used information-theoretic measures to investigate directions of information flow in heterogeneously coupled Rössler systems, which we selected as a typical chaotic system. In bi-directionally coupled systems, spontaneous and irregular switchings of the phase difference between two chaotic oscillators were observed. The direction of information transmission spontaneously switched in an intermittent manner, depending on the phase difference between the two systems. When two further oscillatory inputs are added to the coupled systems, this system dynamically selects one of the two inputs by synchronizing, selection depending on the internal phase differences between the two systems. These results indicate that the effective direction of information transmission dynamically changes, induced by a switching of phase differences between the two systems.

  11. Extracting information masked by the chaotic signal of a time-delay system.

    Science.gov (United States)

    Ponomarenko, V I; Prokhorov, M D

    2002-08-01

    We further develop the method proposed by Bezruchko et al. [Phys. Rev. E 64, 056216 (2001)] for the estimation of the parameters of time-delay systems from time series. Using this method we demonstrate a possibility of message extraction for a communication system with nonlinear mixing of information signal and chaotic signal of the time-delay system. The message extraction procedure is illustrated using both numerical and experimental data and different kinds of information signals.

  12. Cleanup delays at hazardous waste sites: an incomplete information game

    OpenAIRE

    Rausser, Gordon C.; Simon, Leo K.; Zhao, Jinhua

    1999-01-01

    This paper studies the incentives facing Potentially Responsible Parties at a hazardous waste site to promote excessive investigation of the site and thus postpone the beginning of the remediation phase of the cleanup. We model the problem as an incomplete information, simultaneous-move game between PRPs. We assume that PRP's liability shares are predetermined. Each PRP's type is its private information about the precision of its own records relating to the site. A strategy for a PRP is a fun...

  13. SERVICE-ORIENTED APPROACH FOR OPTIMAL ROUTING OF INFORMATION FLOWS IN MULTISERVICE NETWORKS

    Directory of Open Access Journals (Sweden)

    N. I. Listopad

    2015-01-01

    Full Text Available New approach for optimal routing of information flows is developed based on service-oriented architecture. To find the shortest path it’s require to take into account the QoS-parameters such as delay, jitter, bandwidth, lost of the packets and cost of telecommunication resources.

  14. Differential Privacy versus Quantitative Information Flow

    CERN Document Server

    Alvim, Mário S; Degano, Pierpaolo; Palamidessi, Catuscia

    2010-01-01

    Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient privacy protection if the ratio between the probabilities of two different entries to originate a certain answer is bound by e^\\epsilon. In the fields of anonymity and information flow there is a similar concern for controlling information leakage, i.e. limiting the possibility of inferring the secret information from the observables. In recent years, researchers have proposed to quantify the leakage in terms of the information-theoretic notion of mutual information. There are two main approaches that fall in this category: One based on Shannon entropy, and one based on R\\'enyi's min entropy. The latter has connection with the so-called Bayes risk, which expresses the probability of guessing the secret. In this paper, we show how to model the query system in terms of an information-theoretic channel, and we compare the notion of differen...

  15. Information flow and work productivity through integrated information technology

    Science.gov (United States)

    Wigand, R. T.

    1985-01-01

    The work environment surrounding integrated office systems is reviewed. The known effects of automated office technologies is synthesized and their known impact on work efficiency is reviewed. These effects are explored with regard to their impact on networks, work flow/processes, as well as organizational structure and power. Particular emphasis is given to structural changes due to the introduction of newer information technologies in organizations. The new information technologies have restructed the average organization's middle banks and, as a consequence, they have shrunk drastically. Organizational pyramids have flattened with fewer levels since executives have realized that they can get ahold of the needed information via the new technologies quicker and directly and do not have to rely on middle-level managers. Power shifts are typically accompanied with the introduction of these technologies resulting in the generation of a new form of organizational power.

  16. Information and material flows in complex networks

    Science.gov (United States)

    Helbing, Dirk; Armbruster, Dieter; Mikhailov, Alexander S.; Lefeber, Erjen

    2006-04-01

    In this special issue, an overview of the Thematic Institute (TI) on Information and Material Flows in Complex Systems is given. The TI was carried out within EXYSTENCE, the first EU Network of Excellence in the area of complex systems. Its motivation, research approach and subjects are presented here. Among the various methods used are many-particle and statistical physics, nonlinear dynamics, as well as complex systems, network and control theory. The contributions are relevant for complex systems as diverse as vehicle and data traffic in networks, logistics, production, and material flows in biological systems. The key disciplines involved are socio-, econo-, traffic- and bio-physics, and a new research area that could be called “biologistics”.

  17. Analysis of first stage ignition delay times of dimethyl ether in a laminar flow reactor

    Science.gov (United States)

    Wada, Tomoya; Sudholt, Alena; Pitsch, Heinz; Peters, Norbert

    2013-10-01

    The combustion chemistry of the first stage ignition and chemistry/flow interactions are studied for dimethyl ether (DME) with a mathematical analysis of two systems: a plug flow reactor study is used to reduce the reaction chemistry systematically. A skeletal reaction mechanism for the low temperature chemistry of DME until the onset of ignition is derived on the basis of the detailed DME mechanism of the Lawrence Livermore National Laboratory - see Curran, Fischer and Dryer, Int. J. Chem. Kinetics, Vol. 32 (2000). It is shown that reasonably good results for ignition delay times can be reached using a simple system of three ordinary differential equations and that the resulting analytical solution depends only on two reaction rates and the initial fuel concentration. The stepwise reduction of the system based on assumptions yields an understanding on why these reactions are so important. Furthermore, the validation of the assumptions yields insight into the influence of the fuel and the oxygen concentration on the temperature during the induction phase. To investigate the influence of chemistry/flow interactions, a 2D model with a laminar Hagen-Poiseuille flow and 2D-polynomial profiles for the radial species concentration is considered. For the 2D model, it is found that only the diffusion coefficients and the reactor radius need to be taken into consideration additionally to describe the system sufficiently. Also, the coupling of flow and chemistry is clarified in the mathematical analysis. The insight obtained from the comparison of the 2D model and the plug flow model is used to establish an average velocity for the conversion of ignition locations to ignition delay times in a laminar flow reactor. Finally, the 2D analytical solution is compared against new experimental data, obtained in such a laminar flow reactor for an undiluted DME/air mixture with an equivalence ratio of φ = 0.835 and a temperature range of 555 to 585 K at atmospheric pressure.

  18. The influence of fixation delay on mitotic activity and flow cytometric cell cycle variables.

    Science.gov (United States)

    Bergers, E; Jannink, I; van Diest, P I; Cuesta, M A; Meyer, S; van Mourik, J C; Baak, J P

    1997-01-01

    Proliferation variables such as mitotic activity and the percentage of S-phase cells have been shown to be of prognostic value in many tumors, especially in breast cancer. However, some studies reported a decrease in mitotic activity caused by delay in fixation of the tissue. In contrast, other studies showed that the identifiability of mitotic figures decreases after fixation delay, but the total number of mitotic figures and also the percentage of S-phase cells remain unchanged. Most studies have been done on small numbers of experimental tumors, thus introducing the risk of selection bias. The aim of this study was to reinvestigate the influence of fixation delay on mitotic activity and cell cycle variables assessed by flow cytometry in an adequate number of resected human tissues to reach firmer conclusions. Resection specimens of 19 and 21 cases, respectively, for the mitotic activity estimate and the flow cytometric percentage of S-phase calculation were collected directly from the operating theater using lung, breast, and intestinal cancers and normal intestinal mucosa. The tissues were cut in pieces, and from each specimen, pieces were fixed in 4% buffered formaldehyde (for mitosis counting) as well as snap frozen (for flow cytometry) immediately after excision, as well as after a fixation delay of 1, 2, 4, 6, 8, 18, and 24 hours. Moreover, during the fixation delay, one series from each specimen was kept in the refrigerator and the second at room temperature. Thus, a total of 304 (19 X 16) and 336 (21 X 16) specimens were investigated for the mitotic activity estimate and the percentage of S-phase cells calculation, respectively. With regard to the estimation of the mitotic activity, both clear and doubtful mitotic figures were registered separately, obtaining an "uncorrected" and "corrected" (for doubtful mitotic figures) mitotic activity estimate. The percentage of S-phase cells was obtained by cell cycle analysis of flow cytometric DNA-histograms. The

  19. The effect of stochastic acceleration and delay probability on the velocity and the gap between vehicles in traffic flow

    Institute of Scientific and Technical Information of China (English)

    Sheng Peng; Zhao Shu-Long; Wang Jun-Feng; Tang Peng; Gao Lin

    2009-01-01

    This paper proposes a new combined cellular automaton (CA) model considering the driver behavior of stochastic acceleration and delay with the velocity of the preceding vehicle and the gap between the successive vehicles based on the WWH model and the noise-first NaSch model.It introduces the delay probability varying with the gap,adds the anticipation headway and increases the acceleration with a certain probability.Through these simulations,not only can the metastable state and start-stop wave be obtained but also the synchronized flow which the wide moving jam results in.Moreover,the effect of stochastic acceleration and delay on traffic flow is discussed by analyzing the correlation of traffic data.This indicates that synchronized flow easily emerges in the critical area between free flow and synchronized flow when acceleration and delay are synchronized or their probability is close to 0.5.

  20. Combinatiorial Algorithms for Wireless Information Flow

    CERN Document Server

    Ebrahimi, Javad

    2009-01-01

    A long-standing open question in information theory is to characterize the unicast capacity of a wireless relay network. The difficulty arises due to the complex signal interactions induced in the network, since the wireless channel inherently broadcasts the signals and there is interference among transmissions. Recently, Avestimehr, Diggavi and Tse proposed a linear deterministic model that takes into account the shared nature of wireless channels, focusing on the signal interactions rather than the background noise. They generalized the min-cut max-flow theorem for graphs to networks of deterministic channels and proved that the capacity can be achieved using information theoretical tools. They showed that the value of the minimum cut is in this case the minimum rank of all the adjacency matrices describing source-destination cuts. In this paper, we develop a polynomial time algorithm that discovers the relay encoding strategy to achieve the min-cut value in linear deterministic (wireless) networks, for the...

  1. Local Entropy Generation in Compressible Flow through a High Pressure Turbine with Delayed Detached Eddy Simulation

    Directory of Open Access Journals (Sweden)

    Dun Lin

    2017-01-01

    Full Text Available Gas turbines are important energy-converting equipment in many industries. The flow inside gas turbines is very complicated and the knowledge about the flow loss mechanism is critical to the advanced design. The current design system heavily relies on empirical formulas or Reynolds Averaged Navier–Stokes (RANS, which faces big challenges in dealing with highly unsteady complex flow and accurately predicting flow losses. Further improving the efficiency needs more insights into the loss generation in gas turbines. Conventional Unsteady Reynolds Averaged Simulation (URANS methods have defects in modeling multi-frequency, multi-length, highly unsteady flow, especially when mixing or separation occurs, while Direct Numerical Simulation (DNS and Large Eddy Simulation (LES are too costly for the high-Reynolds number flow. In this work, the Delayed Detached Eddy Simulation (DDES method is used with a low-dissipation numerical scheme to capture the detailed flow structures of the complicated flow in a high pressure turbine guide vane. DDES accurately predicts the wake vortex behavior and produces much more details than RANS and URANS. The experimental findings of the wake vortex length characteristics, which RANS and URANS fail to predict, are successfully captured by DDES. Accurate flow simulation builds up a solid foundation for accurate losses prediction. Based on the detailed DDES results, loss analysis in terms of entropy generation rate is conducted from two aspects. The first aspect is to apportion losses by its physical resources: viscous irreversibility and heat transfer irreversibility. The viscous irreversibility is found to be much stronger than the heat transfer irreversibility in the flow. The second aspect is weighing the contributions of steady effects and unsteady effects. Losses due to unsteady effects account for a large part of total losses. Effects of unsteadiness should not be neglected in the flow physics study and design

  2. Synchronization transitions on scale-free neuronal networks due to finite information transmission delays

    Science.gov (United States)

    Wang, Qingyun; Perc, Matjaž; Duan, Zhisheng; Chen, Guanrong

    2009-08-01

    We investigate front propagation and synchronization transitions in dependence on the information transmission delay and coupling strength over scale-free neuronal networks with different average degrees and scaling exponents. As the underlying model of neuronal dynamics, we use the efficient Rulkov map with additive noise. We show that increasing the coupling strength enhances synchronization monotonously, whereas delay plays a more subtle role. In particular, we found that depending on the inherent oscillation frequency of individual neurons, regions of irregular and regular propagating excitatory fronts appear intermittently as the delay increases. These delay-induced synchronization transitions manifest as well-expressed minima in the measure for spatial synchrony, appearing at every multiple of the oscillation frequency. Larger coupling strengths or average degrees can broaden the region of regular propagating fronts by a given information transmission delay and further improve synchronization. These results are robust against variations in system size, intensity of additive noise, and the scaling exponent of the underlying scale-free topology. We argue that fine-tuned information transmission delays are vital for assuring optimally synchronized excitatory fronts on complex neuronal networks and, indeed, they should be seen as important as the coupling strength or the overall density of interneuronal connections. We finally discuss some biological implications of the presented results.

  3. Information fusion control with time delay for smooth pursuit eye movement.

    Science.gov (United States)

    Zhang, Menghua; Ma, Xin; Qin, Bin; Wang, Guangmao; Guo, Yanan; Xu, Zhigang; Wang, Yafang; Li, Yibin

    2016-05-01

    Smooth pursuit eye movement depends on prediction and learning, and is subject to time delays in the visual pathways. In this paper, an information fusion control method with time delay is presented, implementing smooth pursuit eye movement with prediction and learning as well as solving the problem of time delays in the visual pathways. By fusing the soft constraint information of the target trajectory of eyes and the ideal control strategy, and the hard constraint information of the eye system state equation and the output equation, optimal estimations of the co-state sequence and the control variable are obtained. The proposed control method can track not only constant velocity, sinusoidal target motion, but also arbitrary moving targets. Moreover, the absolute value of the retinal slip reaches steady state after 0.1 sec. Information fusion control method elegantly describes in a function manner how the brain may deal with arbitrary target velocities, how it implements the smooth pursuit eye movement with prediction, learning, and time delays. These two principles allowed us to accurately describe visually guided, predictive and learning smooth pursuit dynamics observed in a wide variety of tasks within a single theoretical framework. The tracking control performance of the proposed information fusion control with time delays is verified by numerical simulation results.

  4. Effect of advanced and delayed rotation on the dominant flow pattern and its temporal evolution

    Science.gov (United States)

    Uksul, Esra; Krishna, Swathi; Mulleners, Karen

    2015-11-01

    During a flapping cycle of an insect, complex time dependent flows are produced as the wing reciprocates, producing a maximum lift at the stroke reversals. By flipping the wing rapidly at the end of each stroke, the insect modulates the flow around the wing and hence the aerodynamic forces necessary to hover. The duration and starting point of the flip play an important role in determining the amount of lift produced. To understand and tailor the effect of wing kinematics on the aerodynamic performance we focussed on the vortex dynamics of the flow field. Phase-averaged data from particle image velocimetry was used to evaluate the flow features inherent to changes in rotation during a stroke of a flat plate, which is modelled based on hoverfly characteristics. The period of rotation is one-third of the total time period. A +10% phase shift is used for delayed rotation, a -10% phase shift for advanced rotation. Vortex detection methods like the λ2 and Γ2 criteria are used to determine the effect of a delay or early rotation on the trajectories, size, shape and location of the prominent vortical structures. Proper orthogonal decomposition is used to study the influence of the phase-shifts on the dominant mode structure and the related time-scales.

  5. Comparison of Umbilical Cord Milking and Delayed Cord Clamping on Cerebral Blood Flow in Term Neonates.

    Science.gov (United States)

    Jaiswal, Prateek; Upadhyay, Amit; Gothwal, Sunil; Chaudhary, Hema; Tandon, Ashutosh

    2015-10-01

    To compare the effect of umbilical cord milking (UCM) and delayed cord clamping (DCC) on cerebral blood flow in term neonates. This randomized controlled trial was conducted at a teaching hospital in India during 2012 to 2013. Two hundred newborns (>36wk) were randomized to UCM and DCC groups. UCM was done on 25cm of cord length. In DCC group, clamping was delayed by 60 to 90s. Resistive Index (RI), Pulsatility Index (PI) and cerebral blood flow velocities of middle cerebral artery (MCA) were measured at 24 to 48h of life. Baseline characteristics and hemodynamic parameters were comparable. Mean PI [1.18 (0.26)] and RI [0.65 (0.08)] in UCM group was comparable to mean PI [1.18 (0.25)] and RI [0.65 (0.08)] in DCC group. The peak systolic velocity and end diastolic velocity (cm/s) of blood flow in MCA for UCM group were 34.94 (11.82) and 11.71 (4.75) respectively, while in DCC group they were 37.24 (12.63) and 13.07 (4.78) (p 0.23 and 0.07) respectively. Indices among growth retarded babies were not different. DCC and UCM had similar effect on cerebral blood flow velocities and Doppler indices in MCA, in term neonates.

  6. Information thermodynamics for a multi-feedback process with time delay

    Science.gov (United States)

    Kwon, Chulan; Um, Jaegon; Park, Hyunggyu

    2017-01-01

    We investigate a measurement-feedback process of repeated operations with time delay. During a finite-time interval, measurement on the system is performed and the feedback protocol derived from the measurement outcome is applied with time delay. This protocol is maintained into the next interval until a new protocol from the next measurement is applied. Unlike a feedback process without delay, both memories associated with previous and present measurement outcomes are involved in the system dynamics, which naturally brings forth a joint system described by a system state and two memory states. The thermodynamic second law provides a lower bound for heat flow into a thermal reservoir by the (3-state) Shannon entropy change of the joint system. However, as the feedback protocol depends on memory states sequentially, we can deduce a tighter bound for heat flow by integrating out irrelevant memory states during dynamics. As a simple example, we consider the so-called cold damping feedback process where the velocity of a particle is measured and a dissipative feedback protocol is applied to decelerate the particle. We confirm that the heat flow is well above the tightest bound. We also examine the long-time limit of this feedback process, which turns out to exhibit an interesting instability transition as well as heating by controlling parameters such as measurement errors, time interval, protocol strength, and time delay length. We discuss the underlying mechanism for instability and heating, which might be unavoidable in reality.

  7. Cross-correlation based time delay estimation for turbulent flow velocity measurements: Statistical considerations

    Energy Technology Data Exchange (ETDEWEB)

    Tal, Balazs; Bencze, Attila; Zoletnik, Sandor; Veres, Gabor [KFKI-Research Institute for Particle and Nuclear Physics, Association EURATOM, PO Box 49, H-1525 Budapest (Hungary); Por, Gabor [Department of Nuclear Techniques, Budapest University of Technology and Economics, Association EURATOM, Muegyetem rkp. 9., H-1111 Budapest (Hungary)

    2011-12-15

    Time delay estimation methods (TDE) are well-known techniques to investigate poloidal flows in hot magnetized plasmas through the propagation properties of turbulent structures in the medium. One of these methods is based on the estimation of the time lag at which the cross-correlation function (CCF) estimation reaches its maximum value. The uncertainty of the peak location refers to the smallest determinable flow velocity modulation, and therefore the standard deviation of the time delay imposes important limitation to the measurements. In this article, the relative standard deviation of the CCF estimation and the standard deviation of its peak location are calculated analytically using a simple model of turbulent signals. This model assumes independent (non interacting) overlapping events (coherent structures) with randomly distributed spatio-temporal origins moving with background flow. The result of our calculations is the derivation of a general formula for the CCF variance, which is valid not exclusively in the high event density limit, but also for arbitrary event densities. Our formula reproduces the well known expression for high event densities previously published in the literature. In this paper we also present a derivation of the variance of time delay estimation that turns out to be inversely proportional to the applied time window. The derived formulas were tested in real plasma measurements. The calculations are an extension of the earlier work of Bencze and Zoletnik [Phys. Plasmas 12, 052323 (2005)] where the autocorrelation-width technique was developed. Additionally, we show that velocities calculated by a TDE method possess a broadband noise which originates from this variance, its power spectral density cannot be decreased by worsening the time resolution and can be coherent with noises of other velocity measurements where the same turbulent structures are used. This noise should not be confused with the impact of zero mean frequency zonal flow

  8. Effect of the heterogeneous neuron and information transmission delay on stochastic resonance of neuronal networks

    Science.gov (United States)

    Wang, Qingyun; Zhang, Honghui; Chen, Guanrong

    2012-12-01

    We study the effect of heterogeneous neuron and information transmission delay on stochastic resonance of scale-free neuronal networks. For this purpose, we introduce the heterogeneity to the specified neuron with the highest degree. It is shown that in the absence of delay, an intermediate noise level can optimally assist spike firings of collective neurons so as to achieve stochastic resonance on scale-free neuronal networks for small and intermediate αh, which plays a heterogeneous role. Maxima of stochastic resonance measure are enhanced as αh increases, which implies that the heterogeneity can improve stochastic resonance. However, as αh is beyond a certain large value, no obvious stochastic resonance can be observed. If the information transmission delay is introduced to neuronal networks, stochastic resonance is dramatically affected. In particular, the tuned information transmission delay can induce multiple stochastic resonance, which can be manifested as well-expressed maximum in the measure for stochastic resonance, appearing every multiple of one half of the subthreshold stimulus period. Furthermore, we can observe that stochastic resonance at odd multiple of one half of the subthreshold stimulus period is subharmonic, as opposed to the case of even multiple of one half of the subthreshold stimulus period. More interestingly, multiple stochastic resonance can also be improved by the suitable heterogeneous neuron. Presented results can provide good insights into the understanding of the heterogeneous neuron and information transmission delay on realistic neuronal networks.

  9. Effect of the heterogeneous neuron and information transmission delay on stochastic resonance of neuronal networks.

    Science.gov (United States)

    Wang, Qingyun; Zhang, Honghui; Chen, Guanrong

    2012-12-01

    We study the effect of heterogeneous neuron and information transmission delay on stochastic resonance of scale-free neuronal networks. For this purpose, we introduce the heterogeneity to the specified neuron with the highest degree. It is shown that in the absence of delay, an intermediate noise level can optimally assist spike firings of collective neurons so as to achieve stochastic resonance on scale-free neuronal networks for small and intermediate α(h), which plays a heterogeneous role. Maxima of stochastic resonance measure are enhanced as α(h) increases, which implies that the heterogeneity can improve stochastic resonance. However, as α(h) is beyond a certain large value, no obvious stochastic resonance can be observed. If the information transmission delay is introduced to neuronal networks, stochastic resonance is dramatically affected. In particular, the tuned information transmission delay can induce multiple stochastic resonance, which can be manifested as well-expressed maximum in the measure for stochastic resonance, appearing every multiple of one half of the subthreshold stimulus period. Furthermore, we can observe that stochastic resonance at odd multiple of one half of the subthreshold stimulus period is subharmonic, as opposed to the case of even multiple of one half of the subthreshold stimulus period. More interestingly, multiple stochastic resonance can also be improved by the suitable heterogeneous neuron. Presented results can provide good insights into the understanding of the heterogeneous neuron and information transmission delay on realistic neuronal networks.

  10. Information flow through calcium binding proteins

    Science.gov (United States)

    Bak, Ji Hyun; Bialek, William

    2013-03-01

    Calcium signaling is a ubiquitous mode of biological communication, which regulates a great variety of vital processes in living systems. Such a signal typically begins with an elementary event, in which calcium ions bind to a protein, inducing a change in the protein's structure. Information can only be lost, from what was conveyed through this initial event, as the signal is further transduced through the downstream networks. In the present work we analyze and optimize the information flow in the calcium binding process. We explicitly calculate the mutual information between the calcium concentration and the states of the protein, using a simple model for allosteric regulation in a dimeric protein. The optimal solution depends on the dynamic range of the input as well as on the timescale of signal integration. According to our result, the optimizing strategy involves allowing the calcium-binding protein to be ``activated'' by a partial occupation of its sites, and tuning independently the strengths of cooperative interactions in the binding and unbinding processes.

  11. Information Flow in Secret Sharing Protocols

    CERN Document Server

    Kashefi, Elham; Mhalla, Mehdi; Perdrix, Simon

    2009-01-01

    The entangled graph states have emerged as an elegant and powerful quantum resource, indeed almost all multiparty protocols can be written in terms of graph states including measurement based quantum computation (MBQC), error correction and secret sharing amongst others. In addition they are at the forefront in terms of implementations. As such they represent an excellent opportunity to move towards integrated protocols involving many of these elements. In this paper we look at expressing and extending graph state secret sharing and MBQC in a common framework and graphical language related to flow. We do so with two main contributions. First we express in entirely graphical terms which set of players can access which information in graph state secret sharing protocols. These succinct graphical descriptions of access allow us to take known results from graph theory to make statements on the generalisation of the previous schemes to present new secret sharing protocols. Second, we give a set of necessary condit...

  12. The Information Flow Framework: New architecture

    CERN Document Server

    Kent, Robert E

    2011-01-01

    This presentation discusses a new, modular, more mature architecture for the Information Flow Framework (IFF). The IFF uses institution theory as a foundation for the semantic integration of ontologies. It represents metalogic, and as such operates at the structural level of ontologies. The content, form and experience of the IFF could contribute to the development of a standard ontology for category theory. The foundational aspect of the IFF helps to explain the relationship between the fundamental concepts of set theory and category theory. The development of the IFF follows two design principles: conceptual warrant and categorical design. Both are limitations of the logical expression. Conceptual warrant limits the content of logical expression, by requiring us to justify the introduction of new terminology (and attendant axiomatizations). Categorical design limits the form of logical expression (of all mathematical concepts and constraints) to atomic expressions: declarations, equations or relational expr...

  13. Wireless Network Information Flow: A Deterministic Approach

    CERN Document Server

    Avestimehr, Salman; Tse, David

    2009-01-01

    In contrast to wireline networks, not much is known about the flow of information over wireless networks. The main barrier is the complexity of the signal interaction in wireless channels in addition to the noise in the channel. A widely accepted model is the the additive Gaussian channel model, and for this model, the capacity of even a network with a single relay node is open for 30 years. In this paper, we present a deterministic approach to this problem by focusing on the signal interaction rather than the noise. To this end, we propose a deterministic channel model which is analytically simpler than the Gaussian model but still captures two key wireless channel properties of broadcast and superposition. We consider a model for a wireless relay network with nodes connected by such deterministic channels, and present an exact characterization of the end-to-end capacity when there is a single source and one or more destinations (all interested in the same information) and an arbitrary number of relay nodes....

  14. Delayed Effect of Blood-Flow-Restricted Resistance Training on Rapid Force Capacity

    DEFF Research Database (Denmark)

    Nielsen, Jakob Lindberg; Frandsen, Ulrik; Prokhorova, Tatyana

    2017-01-01

    PURPOSE: The aim of the present study was to investigate the effect and time course of high-frequent low-load resistance training with blood-flow restriction (BFR) on rapid force capacity (i.e. rate of torque development (RTD)). METHODS: Ten male subjects (22.8±2.3 years) performed four sets...... and rapid force capacity (e.g. RTD) as well as evoked twitch contractile parameters was assessed before (Pre) and 5 and 12 days after training (Post5, Post12). Muscle biopsies were obtained Pre, after 8 days (Mid8) and 3 and 10 days post training (Post3, Post10) to examine changes in myofiber area...... exercise performed with blood-flow restriction leads to marked increases in rapid force capacity (RTD). However, a general delayed adaptive response was observed for voluntary contractile parameters (including RTD) in parallel with a decline and subsequent recovery in evoked contractile properties...

  15. Deriving average delay of traffic flow around intersections from vehicle trajectory data

    Institute of Scientific and Technical Information of China (English)

    Minyue ZHAO; Xiang LI

    2013-01-01

    Advances of positioning and wireless communication technologies make it possible to collect a large number of trajectory data of moving vehicles in a fast and convenient fashion.The data can be applied to various fields such as traffic study.In this paper,we attempt to derive average delay of traffic flow around intersections and verify the results with changes of time.The intersection zone is delineated first.Positioning points geographically located within this zone are selected,and then outliers are removed.Turn trips are extracted from selected trajectory data.Each trip,physically consisting of time-series positioning points,is identified with entry road segment and turning direction,i.e.target road segment.Turn trips are grouped into different categories according to their time attributes.Then,delay of each trip during a turn is calculated with its recorded speed.Delays of all trips in the same period of time are plotted to observe the change pattern of traffic conditions.Compared to conventional approaches,the proposed method can be applied to those intersections without fixed data collection devices such as loop detectors since a large number of trajectory data can always provide a more complete spatio-temporal picture of a road network.With respect to data availability,taxi trajectory data and an intersection in Shanghai are employed to test the proposed methodology.Results demonstrate its applicability.

  16. Generalized HARQ Protocols with Delayed Channel State Information and Average Latency Constraints

    DEFF Research Database (Denmark)

    Trillingsgaard, Kasper Fløe; Popovski, Petar

    2017-01-01

    In many practical wireless systems, the signal-to-interference-and-noise ratio (SINR) that is applicable to a certain transmission, referred to as channel state information (CSI), can only be learned after the transmission has taken place and is thereby delayed (outdated). In such systems, hybrid...

  17. Congestion phenomenon analysis and delayed-feedback control in a modified coupled map traffic flow model containing the velocity difference

    Science.gov (United States)

    Fang, Ya-Ling; Shi, Zhong-Ke; Cao, Jin-Liang

    2015-06-01

    Based on the coupled map car-following model which was presented by Konishi et al. (1999), a modified coupled map car-following model is proposed. Specifically, the velocity difference between two successive vehicles is included in the model. The stability condition is given for the change of the speed of the preceding vehicle on the base of the control theory. We derive a condition under which the traffic jam never occurs in our model. Furthermore, in order to suppress traffic jams, we use static and dynamic version of decentralized delayed-feedback control for each vehicle, respectively, and provide a systematic procedure for designing the controller. In addition, the controller of each vehicle does not include any other vehicle information in real traffic flows.

  18. [Information flow between medical and social sciences].

    Science.gov (United States)

    Schubert, András; Somogyi, Anikó

    2014-12-28

    In order to reveal impacts of natural and social sciences on each other, the authors examined connections between fields of medical and social sciences using a search for references and citations of scientific publication. 1. The largest affinity between the medical and social sciences was found between neurosciences and psychology, but there was a significant affinity between clinical sciences and general social sciences, as well. 2. The example of General & Internal Medicine papers in the topics of "diabetes" suggests that in the period 2001-2010 the share of references to social sciences was significantly increased. In the meantime, social science papers in the same topics contained references to Clinical Medicine papers in a constantly high percentage. 3. In the sample under study, the age distribution of social science papers in the references did not differ significantly from that of the other sources. 4. Share of references to social science papers was found to be extremely high among Hungarian General & Internal Medicine papers in the topics of "diabetes". This finding still requires clarification, nevertheless, since e.g. it was not supported by an institutional comparison including the largest Hungarian medical research university. 5. The intensity of the reference/citation mediated information flows between the Hungarian Medical Journal, Orvosi Hetilap and social sciences appears to be in accordance with the current international trends.

  19. Delayed Detached Eddy Simulation of Flow Over an Airfoil with Synthetic Jet Control

    Science.gov (United States)

    Lopez, Omar; Uday, Godse; Moser, Robert

    2007-11-01

    Delayed Detached-Eddy Simulation (DDES) is a hybrid RANS-LES model similar to DES but with modifications to reduce the influences of ambiguous grid densities in the numerical results. This model was implemented in CDP, a parallel unstructured grid incompressible flow solver, developed at the Center for Integrated Turbulence Simulations (CITS) at Stanford University. CDP has the advantage of being nearly energy conserving. Several simulations at static angles of attack at a Re based on the chord of 5.7e5 showed good agreement with experiments and other computational studies. Simulations of pitching and plunging cases have also yield good results. This simulation capability is being used to model closed-loop flow control of the airfoil. The action of tangential-blowing synthetic jet actuators mounted near the trailing edge of the airfoil are modeled as local momentum sources, based on detailed measurements of this configuration conducted at Georgia Tech. Resulting simulations show the effects of the actuators on the vortical structure of the flow, as well as on the aerodynamic properties. By integrating actuator and sensor models with a model of the flow controller, we will be able to simulate experiments currently being conducted by A.Glezer and his group at Georgia Tech. on the control of an airfoil in a wind tunnel.

  20. Stimulus-induced transition of clustering firings in neuronal networks with information transmission delay

    Science.gov (United States)

    Wang, Qingyun; Zhang, Honghui; Chen, Guanrong

    2013-07-01

    We study the evolution of spatiotemporal dynamics and transition of clustering firing synchronization on spiking Hodgkin-Huxley neuronal networks as information transmission delay and the periodic stimulus are varied. In particular, it is shown that the tuned information transmission delay can induce a clustering anti-phase synchronization transition with the pacemaker, where two equal clusters can alternatively synchronize in anti-phase firing. More interestingly, we show that the periodic stimulus can drive the delay-induced clustering anti-phase firing synchronization bifurcate to the collective perfect synchronization, which is routed by the complex process including collective chaotic firings and clustering out-of-phase synchronization of the neuronal networks. In addition, the periodic stimulus induced clustering firings of the spiking neuronal networks are robust to the connectivity probability of small world networks. Furthermore, the different stimulus frequency induced complexity is also investigated. We hope that the results of this paper can provide insights that could facilitate the understanding of the joint impact of information transmission delays and periodic stimulus on controlling dynamical behaviors of realistic neuronal networks.

  1. Delayed onset of tricuspid valve flow in repaired tetralogy of Fallot: an additional mechanism of diastolic dysfunction and interventricular dyssynchrony

    Directory of Open Access Journals (Sweden)

    Benson Lee N

    2011-08-01

    Full Text Available Abstract Background Diastolic dysfunction of the right ventricle (RV is common after repair of tetralogy of Fallot. While restrictive physiology in late diastole has been well known, dysfunction in early diastole has not been described. The present study sought to assess the prevalence and mechanism of early diastolic dysfunction of the RV defined as delayed onset of the tricuspid valve (TV flow after TOF repair. Methods The study population consisted of 31 children with repaired TOF (mean age ± SD, 12.3 ± 4.1 years who underwent postoperative cardiovascular magnetic resonance (CMR. The CMR protocol included simultaneous phase-contrast velocity mapping of the atrioventricular valves, which enabled direct comparison of the timing and patterns of tricuspid (TV and mitral (MV valve flow. The TV flow was defined to have delayed onset when its onset was > 20 ms later than the onset of the MV flow. The TV and MV flow from 14 normal children was used for comparison. The CMR results were correlated with the findings on echocardiography and electrocardiography. Result Delayed onset of the TV flow was observed in 16/31 patients and in none of the controls. The mean delay time was 64.81 ± 27.07 ms (8.7 ± 3.2% of R-R interval. The delay time correlated with the differences in duration of the TV and MV flow (55.94 ± 32.88 ms (r = 0.90, p Conclusions Early diastolic dysfunction with delayed onset of TV flow is common after TOF repair, and is associated with reduced RV ejection fraction. It is a further manifestation of interventricular dyssynchrony and represent an additional mechanism of ventricular diastolic dysfunction.

  2. Common Representation of Information Flows for Dynamic Coalitions

    CERN Document Server

    Mozolevsky, Igor; 10.4204/EPTCS.16.2

    2010-01-01

    We propose a formal foundation for reasoning about access control policies within a Dynamic Coalition, defining an abstraction over existing access control models and providing mechanisms for translation of those models into information-flow domain. The abstracted information-flow domain model, called a Common Representation, can then be used for defining a way to control the evolution of Dynamic Coalitions with respect to information flow.

  3. Information flow in the DAMA Project beyond database managers: Information flow managers

    Energy Technology Data Exchange (ETDEWEB)

    Russell, L. [Argonne National Lab., IL (United States); Wolfson, O.; Yu, C. [Illinois Univ., Chicago, IL (United States)

    1996-03-01

    To meet the demands of commercial data traffic on the information highway, a new look at managing data is necessary. One projected activity, sharing of point-of-sale information, is being considered in the Demand Activated Manufacturing Project of the American Textile Partnership project. A scenario is examined in which 100,000 retail outlets communicate over a period of days. They provide the latest estimate of demand for sewn products across a chain of 26,000 suppliers through the use of bill-of-materials explosions at four levels of detail. A new paradign the information flow manager, is developed to handle this situation, including the case where members of the supply chain fail to communicate and go out of business. Techniques for approximation are introduced to keep estimates of demand as current as possible.

  4. On the impact of information delay on location-based relaying: a markov modeling approach

    DEFF Research Database (Denmark)

    Nielsen, Jimmy Jessen; Olsen, Rasmus Løvenstein; Madsen, Tatiana Kozlova;

    2012-01-01

    For centralized selection of communication relays, the necessary decision information needs to be collected from the mobile nodes by the access point (centralized decision point). In mobile scenarios, the required information collection and forwarding delays will affect the reliability...... of the collected information and hence will influence the performance of the relay selection method. This paper analyzes this influence in the decision process for the example of a mobile location-based relay selection approach using a continuous time Markov chain model. The model is used to obtain optimal relay...

  5. Delay-feedback control strategy for reducing CO2 emission of traffic flow system

    Science.gov (United States)

    Zhang, Li-Dong; Zhu, Wen-Xing

    2015-06-01

    To study the signal control strategy for reducing traffic emission theoretically, we first presented a kind of discrete traffic flow model with relative speed term based on traditional coupled map car-following model. In the model, the relative speed difference between two successive running cars is incorporated into following vehicle's acceleration running equation. Then we analyzed its stability condition with discrete control system stability theory. Third, we designed a delay-feedback controller to suppress traffic jam and decrease traffic emission based on modern controller theory. Last, numerical simulations are made to support our theoretical results, including the comparison of models' stability analysis, the influence of model type and signal control on CO2 emissions. The results show that the temporal behavior of our model is superior to other models, and the traffic signal controller has good effect on traffic jam suppression and traffic CO2 emission, which fully supports the theoretical conclusions.

  6. Non-equilibrium Information Envelopes and the Capacity-Delay-Error-Tradeoff of Source Coding

    CERN Document Server

    Lübben, Ralf

    2011-01-01

    This paper develops an envelope-based approach to establish a link between information and queueing theory. Unlike classical, equilibrium information theory, information envelopes focus on the dynamics of sources and coders, using functions of time that bound the number of bits generated. In the limit the information envelopes converge to the average behavior and recover the entropy of a source, respectively, the average codeword length of a coder. In contrast, on short time scales and for sources with memory it is shown that large deviations from known equilibrium results occur with non-negligible probability. These can cause significant network delays. Compared to well-known traffic models from queueing theory, information envelopes consider the functioning of information sources and coders, avoiding a priori assumptions, such as exponential traffic, or empirical, trace-based traffic models. Using results from the stochastic network calculus, the envelopes yield a characterization of the operating points of...

  7. Consensus of Euler-Lagrange systems networked by sampled-data information with probabilistic time delays.

    Science.gov (United States)

    Ma, Chao; Shi, Peng; Zhao, Xudong; Zeng, Qingshuang

    2015-06-01

    This paper investigates the consensus problem of multiple Euler-Lagrange systems under directed topology. Unlike the common assumptions on continuous-time information exchanges, a more realistic sampled-data communication strategy is proposed with probabilistic occurrence of time-varying delays. Both of the sampling period and the delays are assumed to be time-varying, which is more general in some practical situations. In addition, the relative coordinate derivative information is not required in the distributed controllers such that the communication network burden can be further reduced. In particular, a distinct feature of the proposed scheme lies in the fact that it can effectively reduce the energy consumption. By employing the stochastic analysis techniques, sufficient conditions are established to guarantee that the consensus can be achieved. Finally, a numerical example is provided to illustrate the applicability and benefits of the theoretical results.

  8. Information Flow in the Launch Vehicle Design/Analysis Process

    Science.gov (United States)

    Humphries, W. R., Sr.; Holland, W.; Bishop, R.

    1999-01-01

    This paper describes the results of a team effort aimed at defining the information flow between disciplines at the Marshall Space Flight Center (MSFC) engaged in the design of space launch vehicles. The information flow is modeled at a first level and is described using three types of templates: an N x N diagram, discipline flow diagrams, and discipline task descriptions. It is intended to provide engineers with an understanding of the connections between what they do and where it fits in the overall design process of the project. It is also intended to provide design managers with a better understanding of information flow in the launch vehicle design cycle.

  9. A conceptual framework for managing information flow in innovation systems

    NARCIS (Netherlands)

    Temel, T.

    2007-01-01

    This study introduces a framework for managing information flow in innovation systems. An organisation's capacity to receive information, to share it with others and to learn from it is assumed to be the key factor that shapes the flow patterns and, hence, the performance of the innovation system

  10. Information point and saturation flow at signalized intersections

    Directory of Open Access Journals (Sweden)

    Lijun Gao

    2016-08-01

    Full Text Available This paper introduces an information point factor and attempts to identify how it affects saturation flow and their relationship at signalized intersections. An information point is defined as any object, structure, or activity located outside of a traveling vehicle that can potentially attract the visual attention of the driver. Saturation flow rates are studied at three pairs of signalized intersections in Toledo, Ohio, USA. Each pair of intersections consists of one intersection with a high number of information points and one intersection with a low number of information points. Study results reveal that, for each pair of intersections, the one with high information points has a lower saturation flow rate than the one with low information points. A statistical analysis shows that the differences are significant. Based on the saturation flow data of the paired intersections, information point effect models are developed and presented in this paper.

  11. Hodge Decomposition of Information Flow on Small-World Networks

    Science.gov (United States)

    Haruna, Taichi; Fujiki, Yuuya

    2016-01-01

    We investigate the influence of the small-world topology on the composition of information flow on networks. By appealing to the combinatorial Hodge theory, we decompose information flow generated by random threshold networks on the Watts-Strogatz model into three components: gradient, harmonic and curl flows. The harmonic and curl flows represent globally circular and locally circular components, respectively. The Watts-Strogatz model bridges the two extreme network topologies, a lattice network and a random network, by a single parameter that is the probability of random rewiring. The small-world topology is realized within a certain range between them. By numerical simulation we found that as networks become more random the ratio of harmonic flow to the total magnitude of information flow increases whereas the ratio of curl flow decreases. Furthermore, both quantities are significantly enhanced from the level when only network structure is considered for the network close to a random network and a lattice network, respectively. Finally, the sum of these two ratios takes its maximum value within the small-world region. These findings suggest that the dynamical information counterpart of global integration and that of local segregation are the harmonic flow and the curl flow, respectively, and that a part of the small-world region is dominated by internal circulation of information flow. PMID:27733817

  12. Incomplete Information about Social Preferences Explains Equal Division and Delay in Bargaining

    Directory of Open Access Journals (Sweden)

    Stefan Kohler

    2012-09-01

    Full Text Available Two deviations of alternating-offer bargaining behavior from economic theory are observed together, yet have been studied separately. Players who could secure themselves a large surplus share if bargainers were purely self-interested incompletely exploit their advantage. Delay in agreement occurs even if all experimentally controlled information is common knowledge. This paper rationalizes both regularities coherently by modeling heterogeneous social preferences, either self-interest or envy, of one bargaining party as private information in a three period game of bargaining and preference screening and signaling.

  13. Delayed complications after flow-diverter stenting: reactive in-stent stenosis and creeping stents.

    Science.gov (United States)

    Cohen, José E; Gomori, John Moshe; Moscovici, Samuel; Leker, Ronen R; Itshayek, Eyal

    2014-07-01

    We assessed the frequency and severity of changes in stent configuration and location after the treatment of intracranial aneurysms, and patterns of in-stent stenosis. We retrospectively reviewed data for consecutive aneurysm patients managed with endovascular implantation of flow-diverter stents (Silk Flow Diverter [Balt Extrusion, Montmorency, France] and Pipeline Embolization Device [ev3/Coviden, Minneapolis, MN, USA]) from October 2011 to July 2012. Routine 2, 6, 9-12, and 16-20 month follow-up angiograms were compared, with a focus on changes in stent configuration and location from immediately after deployment to angiographic follow-up, and the incidence and development of in-stent stenosis. Thirty-four patients with 42 aneurysms met inclusion criteria. The Silk device was implanted in 16 patients (47%, single device in 15), the Pipeline device in 18 (53%, single device in 16). On first follow-up angiography, in-stent stenosis was observed in 38% of Silk devices and 39% of Pipeline devices. In-stent stenosis was asymptomatic in 12 of 13 patients. One woman presented with transient ischemic attacks and required stent angioplasty due to end tapering and mild, diffuse in-stent stenosis. Configuration and location changes, including stent creeping and end tapering were seen in 2/16 patients (13%) with Silk devices, and 0/18 patients with Pipeline devices. We describe stent creeping and end tapering as unusual findings with the potential for delayed clinical complications. In-stent stenosis, with a unique behavior, is a frequent angiographic finding observed after flow-diverter stent implant. The stenosis is usually asymptomatic; however, close clinical and angiographic monitoring is mandatory for individualized management. Copyright © 2013 Elsevier Ltd. All rights reserved.

  14. Contraceptive security, information flow, and local adaptations ...

    African Journals Online (AJOL)

    A well-functioning logistics system can manage the supply chain and ensure that the ... and information about the Logistics Management Information System. ... the system to a country-specific situation to ensure buy-in for the implementation. ... expertiseare critical components to ensure the initial success of the system.

  15. Impulsive Consensus Tracking of Multiagent Systems with Quantization and Input Delays Using Position-Only Information

    Directory of Open Access Journals (Sweden)

    Hong Zhou

    2014-01-01

    Full Text Available This paper investigates the consensus tracking problem for second-order multi-agent systems without/with input delays. Randomized quantization scheme is considered in the communication channels, and impulsive consensus tracking algorithms using position-only information are proposed for the consensus tracking of multi-agent systems. Based on the algebraic graph theory and stability theory of impulsive systems, sufficient and necessary conditions for consensus tracking are studied. It is found that consensus tracking for second-order multi-agent systems without/with input delays can be achieved by appropriately choosing the sampling period and control gains which are determined by second/third degree polynomials. Simulations are performed to validate the theoretical results.

  16. From fear to flow personality and information interaction

    CERN Document Server

    Heinstrom, Jannica

    2010-01-01

    From Fear to Flow explores how personality traits may influence attitude, behaviour and reaction to information. Consideration is made for individual differences in information behaviour and reasons behind individual search differences. The book reviews personality and information behaviour and discusses how personality may influence the attitude towards information. Reaction to information is examined in contexts such as everyday life, decision-making, work, studies and human-computer interaction.Introduces a little researched area which is current and needed in our Informatio

  17. Breaking down the silos to decrease internal diversions and patient flow delays.

    Science.gov (United States)

    Driscoll, Molly; Tobis, Kristen; Gurka, David; Serafin, Frederick; Carlson, Elizabeth

    2015-01-01

    Hospitals strive to admit patients to the units where caregiver competencies align with the patient's condition. When the hospital's census peaks, internal diversions and the associated risks increase, which are intensified when silos exist, as segregated care negatively impacts collaboration and patient safety. In this study, a 600+-bed academic, tertiary care specialty hospital experienced an increase in internal diversions. Within the neuroscience service line, emergent neuroscience transfers from outside hospitals had been declined or internally diverted because of capacity limitations. Formalized processes for improving collaboration between health care providers related to capacity issues were required to decrease internal diversions and improve patient flow and patient safety. A pilot project was conducted on neuroscience units during a process improvement initiative. A hospital-wide internal diversion plan was developed, identifying primary and secondary placement options for all patients requiring hospitalization to support patient flow and patient safety. Forecasting tools were developed to provide units' leadership with current information on expected admissions. Daily capacity huddles were instituted to increase collaboration between patient care units. The interventions trialed during the pilot decreased internal diversions and improved patient flow. The improved collaboration resulted in an 80% decrease in declinations of emergent intensive care unit transfers from outside hospitals due to capacity limitations and a 50% decrease in the number of these patients being internally diverted to alternate intensive care units. The interventions implemented minimized internal diversions and improved patient flow. The transparency of the patient placement process led to an increased collaboration between all participants.

  18. Geographic information system documentation of watershed data for Direct/Delayed Response Project. Northeast data base

    Energy Technology Data Exchange (ETDEWEB)

    Mortenson, D.C.

    1989-03-01

    The Direct/Delayed Response Project (DDRP) was designed by the U.S. Environmental Protection Agency within the National Acid Precipitation Assessment Program to predict the long-term response of watersheds and surface waters to acidic deposition. The purpose of the DDRP is to investigate and distinguish the time scales over which surface water systems might change chemically under varying levels of acidic deposition. The DDRP is examining a subset of watersheds sampled as part of the National Surface Water Survey. In the Northeast Region of the United States, 145 watersheds are under study. The DDRP required detailed watershed information on those characteristics thought important relative to the effects of acid deposition. The information was then mapped, then entered into a Geographic Information System (GIS). The document discusses protocols, guidelines, and standards used to complete GIS entry of the mapping data, and quality control procedures used to ensure accuracy and consistency.

  19. Robust time delay estimation for speech signals using information theory: A comparison study

    Directory of Open Access Journals (Sweden)

    Wen Fei

    2011-01-01

    Full Text Available Abstract Time delay estimation (TDE is a fundamental subsystem for a speaker localization and tracking system. Most of the traditional TDE methods are based on second-order statistics (SOS under Gaussian assumption for the source. This article resolves the TDE problem using two information-theoretic measures, joint entropy and mutual information (MI, which can be considered to indirectly include higher order statistics (HOS. The TDE solutions using the two measures are presented for both Gaussian and Laplacian models. We show that, for stationary signals, the two measures are equivalent for TDE. However, for non-stationary signals (e.g., noisy speech signals, maximizing MI gives more consistent estimate than minimizing joint entropy. Moreover, an existing idea of using modified MI to embed information about reverberation is generalized to the multiple microphones case. From the experimental results for speech signals, this scheme with Gaussian model shows the most robust performance in various noisy and reverberant environments.

  20. Hopf Bifurcation of a Delayed Epidemic Model with Information Variable and Limited Medical Resources

    Directory of Open Access Journals (Sweden)

    Caijuan Yan

    2014-01-01

    Full Text Available We consider SIR epidemic model in which population growth is subject to logistic growth in absence of disease. We get the condition for Hopf bifurcation of a delayed epidemic model with information variable and limited medical resources. By analyzing the corresponding characteristic equations, the local stability of an endemic equilibrium and a disease-free equilibrium is discussed. If the basic reproduction ratio ℛ01, we obtain sufficient conditions under which the endemic equilibrium E* of system is locally asymptotically stable. And we also have discussed the stability and direction of Hopf bifurcations. Numerical simulations are carried out to explain the mathematical conclusions.

  1. On information flow in relay networks

    Science.gov (United States)

    El Gamal, A.

    Preliminary investigations conducted by El Gamal and Cover (1980) have shown that a max-flow min-cut interpretation for the capacity expressions of the classes of degraded and semideterministic relay channels can be found. In this paper it is shown that such an interpretation can also be found for fairly general classes of discrete memoryless relay networks. Cover and El Gamal (1979) have obtained general lower and upper bounds to capacity. However, the capacity of the general relay channel is not known. Past results are here extended to establish the capacity of deterministic relay networks with no interference and degraded relay networks. A general upper bound is given to the capacity of any relay network with this upper bound being a natural generalization of Theorem 4 in the study conducted by Cover and El Gamal (1979).

  2. Discretionary Information Flow Control for Interaction-Oriented Specifications

    DEFF Research Database (Denmark)

    Lluch Lafuente, Alberto; Nielson, Flemming; Nielson, Hanne Riis

    2015-01-01

    This paper presents an approach to specify and check discretionary information flow properties of concurrent systems. The approach is inspired by the success of the interaction-oriented paradigm to concurrent systems (cf. choreographies, behavioural types, protocols,...) in providing behavioural...... guarantees of global properties such as deadlock-absence. We show how some information flow properties are easier to formalise and check on a global interaction-oriented description of a concurrent system rather than on a local process-oriented description of the components of the system. We use a simple...... choreography description language adapted from the literature of choreographies and session types. We provide a generic method to instrument the semantics with information flow annotations. Policies are used to specify the admissible flows of information. The main contribution of the paper is a sound type...

  3. Effect of time delay on the upper bound of the time derivative of information entropy in a stochastic dynamical system

    Institute of Scientific and Technical Information of China (English)

    Zhang Min-Min; Wang Can-Jun; Mei Dong-Cheng

    2011-01-01

    The effects of the time delay on the upper bound of the time derivative of information entropy are investigated in a time-delayed dynamical system driven by correlated noise.Using the Markov approximation of the stochastic delay differential equations and the Schwartz inequality principle,we obtain an analytical expression for the upper bound UB(t) of the time derivative of the information entropy.The results show that there is a critical value of T (delay time),and UB(t) presents opposite behaviours on difference sides of the critical value.For the case of the weak additive noise,T can induce a reentrance transition.Delay time T also causes a reversal behaviour in UB(t)-λ plot,where λ denotes the decree of the correlation between the two noises.

  4. A Mathematical Theory of System Information Flow

    Science.gov (United States)

    2016-06-27

    for probabilistic computation. one of which models randomized algorithms and the other of which is suitable for analyzing crypto-protocols. The...project also produced a new statistical testing regimen for evaluating empirical tests of quantum phenomena that have since been the basis for validating...Haar measure on the Cantor set 15. SUBJECT TERMS Classical and quantum information and computation, probabilistic computational models 16. SECURITY

  5. Quantitative Information Flow as Safety and Liveness Hyperproperties

    Directory of Open Access Journals (Sweden)

    Hirotoshi Yasuoka

    2012-07-01

    Full Text Available We employ Clarkson and Schneider's "hyperproperties" to classify various verification problems of quantitative information flow. The results of this paper unify and extend the previous results on the hardness of checking and inferring quantitative information flow. In particular, we identify a subclass of liveness hyperproperties, which we call "k-observable hyperproperties", that can be checked relative to a reachability oracle via self composition.

  6. Using gas clouds to probe the accretion flow around SgrA*: G2's delayed pericenter passage

    CERN Document Server

    Madigan, Ann-Marie; O'Leary, Ryan

    2016-01-01

    We study the dynamical evolution of the putative gas clouds G1 and G2 recently discovered in the Galactic center. Following earlier studies suggesting that these two clouds are part of a larger gas streamer, we combine their orbits into a single trajectory. Since the gas clouds experience a drag force from background gas, this trajectory is not exactly Keplerian. By assuming the G1 and G2 clouds trace this trajectory, we fit for the drag force they experience and thus extract information about the accretion flow at a distance of thousands of Schwarzschild radii from the black hole. This range of radii is important for theories of black hole accretion, but is currently unconstrained by observations. In this paper we extend our previous work by accounting for radial forces due to possible inflow or outflow of the background gas. Such radial forces drive precession in the orbital plane, allowing a slightly better fit to the G1 and G2 data. This precession delays the pericenter passage of G2 by 4-5 months relativ...

  7. Probabilistic Routing Based on Two-Hop Information in Delay/Disruption Tolerant Networks

    Directory of Open Access Journals (Sweden)

    Xu Wang

    2015-01-01

    Full Text Available We investigate an opportunistic routing protocol in delay/disruption tolerant networks (DTNs where the end-to-end path between source and destination nodes may not exist for most of the time. Probabilistic routing protocol using history of encounters and transitivity (PRoPHET is an efficient history-based routing protocol specifically proposed for DTNs, which only utilizes the delivery predictability of one-hop neighbors to make a decision for message forwarding. In order to further improve the message delivery rate and to reduce the average overhead of PRoPHET, in this paper we propose an improved probabilistic routing algorithm (IPRA, where the history information of contacts for the immediate encounter and two-hop neighbors has been jointly used to make an informed decision for message forwarding. Based on the Opportunistic Networking Environment (ONE simulator, the performance of IPRA has been evaluated via extensive simulations. The results show that IPRA can significantly improve the average delivery rate while achieving a better or comparable performance with respect to average overhead, average delay, and total energy consumption compared with the existing algorithms.

  8. Tracing Neurodynamic Information Flows during Teamwork.

    Science.gov (United States)

    Stevens, Ronald; Galloway, Trysha

    2016-04-01

    The goal of this study was to evaluate different neurodynamic representations for their ability to describe the interactions of team members with each other and with the changing task. Electroencephalography (EEG) data streams were collected from six crew members of a submarine piloting and navigation team while they performed a required training simulation. A representation of neurodynamic organization was first generated by creating symbols every second that showed the EEG power levels of each crew member. The second-by-second expression of these symbols continuously varied with the changing task, and the magnitude, duration and frequency of these variations could be quantitated using a moving window of Shannon entropy over the symbol stream. These changes in neurodynamic organization (i.e. entropy) were seen in the alpha, beta and gamma EEG frequency bands. A representation of team members' synchrony was created by measuring the mutual information in the EEG power levels for fourteen dyad combinations. Mutual information was present in the gamma EEG band, and elevated levels were distributed throughout the task. These discrete periods of synchrony were poorly correlated at zero lag with either changes in the team's neurodynamic organization, or speech patterns.

  9. Exact solution of a delay difference equation modeling traffic flow and their ultra-discrete limit

    OpenAIRE

    Matsuya, Keisuke; Kanai, Masahiro

    2015-01-01

    We consider a car-following model described by a delay difference equation and give its exact solutions that present propagation of a traffic jam. This model is a discrete-time version of the delayed optimal-velocity model; in the continuum limit, we recover the delay differential equation for this model and the exact solutions as well. We then work in the ultra-discrete limit, obtaining a delay cellular-automaton model, which successfully inherits the solutions. Also the dispersion relation ...

  10. CPS Transformation of Flow Information, Part II: Administrative Reductions

    DEFF Research Database (Denmark)

    Damian, Daniel; Danvy, Olivier

    2001-01-01

    the least solution. Preservation of least solutions solves a problem that was left open in Palsberg and Wand's article ‘CPS Transformation of Flow Information.’ Together, Palsberg and Wand's article and the present article show how to map in linear time the least solution of the flow constraints...... of a program into the least solution of the flow constraints of the CPS counterpart of this program, after administrative reductions. Furthermore, we show how to CPS transform control-flow information in one pass.......We characterize the impact of a linear $\\beta$-reduction on the result of a control-flow analysis. (By ‘a linear $\\beta$-reduction’ we mean the $\\beta$-reduction of a linear $\\lambda$-abstraction, i.e., of a $\\lambda$-abstraction whose parameter occurs exactly once in its body.) As a corollary, we...

  11. CPS Transformation of Flow Information, Part II: Administrative Reductions

    DEFF Research Database (Denmark)

    Damian, Daniel; Danvy, Olivier

    2001-01-01

    consider the administrative reductions of a Plotkin-style transformation into Continuation-Passing Style (CPS), and how they affect the result of a constraint-based control-flow analysis and, in particular, the least element in the space of solutions. We show that administrative reductions preserve...... the least solution. Preservation of least solutions solves a problem that was left open in Palsberg and Wand's article ‘CPS Transformation of Flow Information.’ Together, Palsberg and Wand's article and the present article show how to map in linear time the least solution of the flow constraints...... of a program into the least solution of the flow constraints of the CPS counterpart of this program, after administrative reductions. Furthermore, we show how to CPS transform control-flow information in one pass....

  12. Transcranial magnetic stimulation-induced global propagation of transient phase resetting associated with directional information flow

    Directory of Open Access Journals (Sweden)

    Masahiro eKawasaki

    2014-03-01

    Full Text Available Electroencephalogram (EEG phase synchronization analyses can reveal large-scale communication between distant brain areas. However, it is not possible to identify the directional information flow between distant areas using conventional phase synchronization analyses. In the present study, we applied transcranial magnetic stimulation (TMS to the occipital area in subjects who were resting with their eyes closed, and analyzed the spatial propagation of transient TMS-induced phase resetting by using the transfer entropy (TE, to quantify the causal and directional flow of information. The time-frequency EEG analysis indicated that the theta (5 Hz phase locking factor (PLF reached its highest value at the distant area (the motor area in this study, with a time lag that followed the peak of the transient PLF enhancements of the TMS-targeted area at the TMS onset. PPI (phase-preservation index analyses demonstrated significant phase resetting at the TMS-targeted area and distant area. Moreover, the TE from the TMS-targeted area to the distant area increased clearly during the delay that followed TMS onset. Interestingly, the time lags were almost coincident between the PLF and TE results (152 vs. 165 ms, which provides strong evidence that the emergence of the delayed PLF reflects the causal information flow. Such tendencies were observed only in the higher-intensity TMS condition, and not in the lower-intensity or sham TMS conditions. Thus, TMS may manipulate large-scale causal relationships between brain areas in an intensity-dependent manner. We demonstrated that single-pulse TMS modulated global phase dynamics and directional information flow among synchronized brain networks. Therefore, our results suggest that single-pulse TMS can manipulate both incoming and outgoing information in the TMS-targeted area associated with functional changes.

  13. Information loss along the renormalization flow

    Energy Technology Data Exchange (ETDEWEB)

    Beny, Cedric; Osborne, Tobias [Leibniz Universitaet Hannover (Germany)

    2013-07-01

    Our ability to probe the real world is always limited by experimental constraints such as the precision of our instruments. It is remarkable that the resulting imperfect data nevertheless contains regularities which can be understood in terms of effective laws. The renormalization group (RG) aims to formalize the relationship between effective theories summarizing the behaviour of a single system probed at different length scales. An important feature of the RG is its tendency to converge to few universal effective field theories at large scale. We explicitly model the change of resolution at which a quantum lattice system is probed as a completely positive semigroup on density operators, i.e., a family of quantum channels, and derive from it a renormalization ''group'' on effective theories. This formalism suggests a family of finite distinguishability metrics which contract under the RG, hence identifying the information that is lost on the way to universal RG fixed points.

  14. Hybrid Information Flow Analysis for Programs with Arrays

    Directory of Open Access Journals (Sweden)

    Gergö Barany

    2016-07-01

    Full Text Available Information flow analysis checks whether certain pieces of (confidential data may affect the results of computations in unwanted ways and thus leak information. Dynamic information flow analysis adds instrumentation code to the target software to track flows at run time and raise alarms if a flow policy is violated; hybrid analyses combine this with preliminary static analysis. Using a subset of C as the target language, we extend previous work on hybrid information flow analysis that handled pointers to scalars. Our extended formulation handles arrays, pointers to array elements, and pointer arithmetic. Information flow through arrays of pointers is tracked precisely while arrays of non-pointer types are summarized efficiently. A prototype of our approach is implemented using the Frama-C program analysis and transformation framework. Work on a full machine-checked proof of the correctness of our approach using Isabelle/HOL is well underway; we present the existing parts and sketch the rest of the correctness argument.

  15. Inventory model with cash flow oriented and time-dependent holding cost under permissible delay in payments

    Directory of Open Access Journals (Sweden)

    Tripathi R.P.

    2013-01-01

    Full Text Available This study develops an inventory model for determining an optimal ordering policy for non-deteriorating items and time-dependent holding cost with delayed payments permitted by the supplier under inflation and time-discounting. The discounted cash flows approach is applied to study the problem analysis. Mathematical models have been derived under two different situations i.e. case I: The permissible delay period is less than cycle time for settling the account and case II: The permissible delay period is greater than or equal to cycle time for settling the account. An algorithm is used to obtain minimum total present value of the costs over the time horizon H. Finally, numerical example and sensitivity analysis demonstrate the applicability of the proposed model. The main purpose of this paper is to investigate the optimal cycle time and optimal payment time for an item so that annual total relevant cost is minimized.

  16. Delayed onset muscle soreness and perceived exertion following blood flow restriction exercise.

    Science.gov (United States)

    Brandner, Christopher R; Warmington, Stuart A

    2017-01-11

    The purpose of this study was to determine the perceptual responses to resistance exercise with either heavy-loads (80% 1 repetition maximum [1-RM]), light-loads (20% 1-RM), or light-loads in combination with blood flow restriction (BFR). Despite the use of light-loads, it has been suggested that the adoption of BFR resistance exercise may be limited due to increases in delayed onset muscle soreness (DOMS) and perceived exertion. Seventeen healthy untrained males participated in this balanced, randomized cross-over study. Following four sets of elbow-flexion exercise, participants reported ratings of perceived exertion (RPE), with DOMS also recorded for seven days following each trial. DOMS was significantly greater for low-pressure continuous BFR (until 48 h post-exercise) and high-pressure intermittent BFR (until 72 h post-exercise) compared with traditional heavy-load and light-load resistance exercise. In addition, RPE was higher for heavy-load resistance exercise and high-pressure intermittent BFR compared with low-pressure continuous BFR, with all trials greater than light-load resistance exercise. For practitioners working with untrained participants, this study provides evidence to suggest that in order to minimize the perception of effort and post-exercise muscle soreness associated with BFR resistance exercise, continuous low-pressure application may be more preferential compared with intermittent high-pressure application. Importantly, these perceptual responses are relatively short-lived (∼2 days) and have previously been shown to subside after a few exercise sessions. Combined with smaller initial training volumes (set x repetitions) this may limit RPE and DOMS to strengthen uptake and adherence, and assist in program progression for muscle hypertrophy and gains in strength.

  17. Verification of Information Flow in Agent-Based Systems

    Science.gov (United States)

    Sabri, Khair Eddin; Khedri, Ridha; Jaskolka, Jason

    Analyzing information flow is beneficial for ensuring the satisfiability of security policies during the exchange of information between the agents of a system. In the literature, models such as Bell-LaPadula model and the Chinese Wall model are proposed to capture and govern the exchange of information among agents. Also, we find several verification techniques for analyzing information flow within programs or multi-agent systems. However, these models and techniques assume the atomicity of the exchanged information, which means that the information cannot be decomposed or combined with other pieces of information. Also, the policies of their models prohibit any transfer of information from a high level agent to a low level agent. In this paper, we propose a technique that relaxes these assumptions. Indeed, the proposed technique allows classifying information into frames and articulating finer granularity policies that involve information, its elements, or its frames. Also, it allows for information manipulation through several operations such as focusing and combining information. Relaxing the atomicity of information assumption permits an analysis that takes into account the ability of an agent to link elements of information in order to evolve its knowledge.

  18. The Embedding Capacity of Information Flows Under Renewal Traffic

    CERN Document Server

    Marano, Stefano; He, Ting; Tong, Lang

    2011-01-01

    Given two independent point processes and a certain rule for matching points between them, what is the fraction of matched points over infinitely long streams? In many application contexts, e.g., secure networking, a meaningful matching rule is that of a maximum causal delay, and the problem is related to embedding a flow of packets in cover traffic such that no traffic analysis can detect it. We study the best undetectable embedding policy and the corresponding maximum flow rate ---that we call the embedding capacity--- under the assumption that the cover traffic can be modeled as arbitrary renewal processes. We find that computing the embedding capacity requires the inversion of very structured linear systems that, for a broad range of renewal models encountered in practice, admits a fully analytical expression in terms of the renewal function of the processes. Our main theoretical contribution is a simple closed form of such relationship. This result enables us to explore properties of the embedding capaci...

  19. On the Impact of information access delays on remote control of a wind turbine

    DEFF Research Database (Denmark)

    Madsen, Jacob Theilgaard; Barradas Berglind, Jose de Jesus; Madsen, Tatiana Kozlova;

    2015-01-01

    It is important to reduce the impact of renewable production in the power grid by means of control, due to increased frequency deviations and imbalances caused by these assets. Cost efficient deployment of asset control frequently results in a distributed control architecture where the controller...... is connected via a communication network to the sensors and actuators on the asset. Such a distributed control scheme may be implemented over a communication network that introduces delay and possibly also message loss. In this paper, we look at the impact of such an imperfect communication network on a wind...... by the controller to gather sensor information and and quantitatively characterize the impact of these access strategies on the controller performance...

  20. Information systems for material flow management in construction processes

    Science.gov (United States)

    Mesároš, P.; Mandičák, T.

    2015-01-01

    The article describes the options for the management of material flows in the construction process. Management and resource planning is one of the key factors influencing the effectiveness of construction project. It is very difficult to set these flows correctly. The current period offers several options and tools to do this. Information systems and their modules can be used just for the management of materials in the construction process.

  1. The Liang-Kleeman Information Flow: Theory and Applications

    Directory of Open Access Journals (Sweden)

    X. San Liang

    2013-01-01

    Full Text Available Information flow, or information transfer as it may be referred to, is a fundamental notion in general physics which has wide applications in scientific disciplines. Recently, a rigorous formalism has been established with respect to both deterministic and stochastic systems, with flow measures explicitly obtained. These measures possess some important properties, among which is flow or transfer asymmetry. The formalism has been validated and put to application with a variety of benchmark systems, such as the baker transformation, Hénon map, truncated Burgers-Hopf system, Langevin equation, etc. In the chaotic Burgers-Hopf system, all the transfers, save for one, are essentially zero, indicating that the processes underlying a dynamical phenomenon, albeit complex, could be simple. (Truth is simple. In the Langevin equation case, it is found that there could be no information flowing from one certain time series to another series, though the two are highly correlated. Information flow/transfer provides a potential measure of the cause–effect relation between dynamical events, a relation usually hidden behind the correlation in a traditional sense.

  2. The price of ignorance: The impact of side-information on delay for lossless source-coding

    CERN Document Server

    Chang, Cheng

    2007-01-01

    Inspired by the context of compressing encrypted sources, this paper considers the general tradeoff between rate, end-to-end delay, and probability of error for lossless source coding with side-information. The notion of end-to-end delay is made precise by considering a sequential setting in which source symbols are revealed in real time and need to be reconstructed at the decoder within a certain fixed latency requirement. Upper bounds are derived on the reliability functions with delay when side-information is known only to the decoder as well as when it is also known at the encoder. When the encoder is not ignorant of the side-information (including the trivial case when there is no side-information), it is possible to have substantially better tradeoffs between delay and probability of error at all rates. This shows that there is a fundamental price of ignorance in terms of end-to-end delay when the encoder is not aware of the side information. This effect is not visible if only fixed-block-length codes a...

  3. Decision making and information flows in precision agriculture

    DEFF Research Database (Denmark)

    Fountas, S.; Wulfsohn, Dvora-Laiô; Blackmore, B.S.

    and further revised during testing on a number of research and commercial farms in Indiana, USA. Twenty-one decision analysis factors were idebfied to characterise a farm manager's decision-making process. Then a general data flow diagram (DFD) was constructed that describes the information flows "from data......A participative methology was developed in which farm managers decomposed their process of decision making in Precision Agriculture (PA) into brief secision statesments along with associated information requirements. The methodology was first developed on a university research farm in Denmark...

  4. Climate Informed Low Flow Frequency Analysis Using Nonstationary Modeling

    Science.gov (United States)

    Liu, D.; Guo, S.; Lian, Y.

    2014-12-01

    Stationarity is often assumed for frequency analysis of low flows in water resources management and planning. However, many studies have shown that flow characteristics, particularly the frequency spectrum of extreme hydrologic events,were modified by climate change and human activities and the conventional frequency analysis without considering the non-stationary characteristics may lead to costly design. The analysis presented in this paper was based on the more than 100 years of daily flow data from the Yichang gaging station 44 kilometers downstream of the Three Gorges Dam. The Mann-Kendall trend test under the scaling hypothesis showed that the annual low flows had significant monotonic trend, whereas an abrupt change point was identified in 1936 by the Pettitt test. The climate informed low flow frequency analysis and the divided and combined method are employed to account for the impacts from related climate variables and the nonstationarities in annual low flows. Without prior knowledge of the probability density function for the gaging station, six distribution functions including the Generalized Extreme Values (GEV), Pearson Type III, Gumbel, Gamma, Lognormal, and Weibull distributions have been tested to find the best fit, in which the local likelihood method is used to estimate the parameters. Analyses show that GEV had the best fit for the observed low flows. This study has also shown that the climate informed low flow frequency analysis is able to exploit the link between climate indices and low flows, which would account for the dynamic feature for reservoir management and provide more accurate and reliable designs for infrastructure and water supply.

  5. Hybrid static-runtime information flow and declassification enforcement

    NARCIS (Netherlands)

    Rocha, Bruno P.S.; Conti, Mauro; Etalle, Sandro; Crispo, Bruno

    There are different paradigms for enforcing information flow and declassification policies. These approaches can be divided into static analyzers and runtime enforcers. Each class has its own strengths and weaknesses, each being able to enforce a different set of policies. In this paper, we

  6. Hybrid static-runtime information flow and declassification enforcement

    NARCIS (Netherlands)

    Rocha, Bruno P.S.; Conti, Mauro; Etalle, Sandro; Crispo, Bruno

    2013-01-01

    There are different paradigms for enforcing information flow and declassification policies. These approaches can be divided into static analyzers and runtime enforcers. Each class has its own strengths and weaknesses, each being able to enforce a different set of policies. In this paper, we introduc

  7. A Simple CPS Transformation of Control-Flow Information

    DEFF Research Database (Denmark)

    Damian, Daniel; Danvy, Olivier

    2002-01-01

    We build on Danvy and Nielsen's first-order program transformation into continuation-passing style (CPS) to design a new CPS transformation of flow information that is simpler and more efficient than what has been presented in previous work. The key to simplicity and efficiency is that our CPS...

  8. Tail dependence and information flow: Evidence from international equity markets

    Science.gov (United States)

    Al Rahahleh, Naseem; Bhatti, M. Ishaq; Adeinat, Iman

    2017-05-01

    Bhatti and Nguyen (2012) used the copula approach to measure the tail dependence between a number of international markets. They observed that some country pairs exhibit only left-tail dependence whereas others show only right-tail. However, the flow of information from uni-dimensional (one-tail) to bi-dimensional (two-tails) between various markets was not accounted for. In this study, we address the flow of information of this nature by using the dynamic conditional correlation (DCC-GARCH) model. More specifically, we use various versions of the DCC models to explain the nexus between the information flow of international equity and to explain the stochastic forward vs. backward dynamics of financial markets based on data for a 15-year period comprising 3,782 observations. We observed that the information flow between the US and Hong Kong markets and between the US and Australian markets are bi-directional. We also observed that the DCC model captures a wider co-movement structure and inter-connectedness compared to the symmetric Joe-Clayton copula.

  9. Information flow and causality as rigorous notions ab initio

    Science.gov (United States)

    Liang, X. San

    2016-11-01

    Information flow or information transfer the widely applicable general physics notion can be rigorously derived from first principles, rather than axiomatically proposed as an ansatz. Its logical association with causality is firmly rooted in the dynamical system that lies beneath. The principle of nil causality that reads, an event is not causal to another if the evolution of the latter is independent of the former, which transfer entropy analysis and Granger causality test fail to verify in many situations, turns out to be a proven theorem here. Established in this study are the information flows among the components of time-discrete mappings and time-continuous dynamical systems, both deterministic and stochastic. They have been obtained explicitly in closed form, and put to applications with the benchmark systems such as the Kaplan-Yorke map, Rössler system, baker transformation, Hénon map, and stochastic potential flow. Besides unraveling the causal relations as expected from the respective systems, some of the applications show that the information flow structure underlying a complex trajectory pattern could be tractable. For linear systems, the resulting remarkably concise formula asserts analytically that causation implies correlation, while correlation does not imply causation, providing a mathematical basis for the long-standing philosophical debate over causation versus correlation.

  10. Effects of information transmission delay and channel blocking on synchronization in scale-free Hodgkin-Huxley neuronal networks

    Science.gov (United States)

    Wang, Qing-Yun; Zheng, Yan-Hong

    2011-12-01

    In this paper, we investigate the evolution of spatiotemporal patterns and synchronization transitions in dependence on the information transmission delay and ion channel blocking in scale-free neuronal networks. As the underlying model of neuronal dynamics, we use the Hodgkin-Huxley equations incorporating channel blocking and intrinsic noise. It is shown that delays play a significant yet subtle role in shaping the dynamics of neuronal networks. In particular, regions of irregular and regular propagating excitatory fronts related to the synchronization transitions appear intermittently as the delay increases. Moreover, the fraction of working sodium and potassium ion channels can also have a significant impact on the spatiotemporal dynamics of neuronal networks. As the fraction of blocked sodium channels increases, the frequency of excitatory events decreases, which in turn manifests as an increase in the neuronal synchrony that, however, is dysfunctional due to the virtual absence of large-amplitude excitations. Expectedly, we also show that larger coupling strengths improve synchronization irrespective of the information transmission delay and channel blocking. The presented results are also robust against the variation of the network size, thus providing insights that could facilitate understanding of the joint impact of ion channel blocking and information transmission delay on the spatiotemporal dynamics of neuronal networks.

  11. Effects of information transmission delay and channel blocking on synchronization in scale-free Hodgkin-Huxley neuronal networks

    Institute of Scientific and Technical Information of China (English)

    Qing-Yun Wang; Yan-Hong Zheng

    2011-01-01

    In this paper,we investigate the evolution of spatiotemporal patterns and synchronization transitions in dependence on the information transmission delay and ion channel blocking in scale-free neuronal networks.As the underlying model of neuronal dynamics,we use the HodgkinHuxley equations incorporating channel blocking and intrinsic noise.It is shown that delays play a significant yet subtle role in shaping the dynamics of neuronal networks.In particular,regions of irregular and regular propagating excitatory fronts related to the synchronization transitions appear intermittently as the delay increases.Moreover,the fraction of working sodium and potassium ion channels can also have a significant impact on the spatiotemporal dynamics of neuronal networks.As the fraction of blocked sodium channels increases,the frequency of excitatory events decreases,which in turn manifests as an increase in the neuronal synchrony that,however,is dysfunctional due to the virtual absence of large-amplitude excitations.Expectedly,we also show that larger coupling strengths improve synchronization irrespective of the information transmission delay and channel blocking.The presented results are also robust against the variation of the network size,thus providing insights that could facilitate understanding of the joint impact of ion channel blocking and information transmission delay on the spatiotemporal dynamics of neuronal networks.

  12. Fine-grained Information Flow for Concurrent Computation

    DEFF Research Database (Denmark)

    Li, Ximeng

    It is essential to protect IT systems against security threats. An example would be the control of aircraft, which uses an internal network that passengers can access. It is important to ensure that malicious code on passenger equipment cannot endanger flight safety. Information flow control...... is an important approach to the protection of systems against such threats. Notable examples include tainting analyses in languages such as Javascript, and program transformations on cryptographic algorithms to avoid information leakage through running time. A wide variety of techniques, including type systems...... and reference monitors, have been proposed in the context of programming languages and process calculi, to enforce such properties. The most widely used definitions of information flow security are noninterference-like properties. For concurrent systems where processes communicate with each other to accomplish...

  13. Exploring default mode and information flow on the web.

    Directory of Open Access Journals (Sweden)

    Mizuki Oka

    Full Text Available Social networking services (e.g., Twitter, Facebook are now major sources of World Wide Web (called "Web" dynamics, together with Web search services (e.g., Google. These two types of Web services mutually influence each other but generate different dynamics. In this paper, we distinguish two modes of Web dynamics: the reactive mode and the default mode. It is assumed that Twitter messages (called "tweets" and Google search queries react to significant social movements and events, but they also demonstrate signs of becoming self-activated, thereby forming a baseline Web activity. We define the former as the reactive mode and the latter as the default mode of the Web. In this paper, we investigate these reactive and default modes of the Web's dynamics using transfer entropy (TE. The amount of information transferred between a time series of 1,000 frequent keywords in Twitter and the same keywords in Google queries is investigated across an 11-month time period. Study of the information flow on Google and Twitter revealed that information is generally transferred from Twitter to Google, indicating that Twitter time series have some preceding information about Google time series. We also studied the information flow among different Twitter keywords time series by taking keywords as nodes and flow directions as edges of a network. An analysis of this network revealed that frequent keywords tend to become an information source and infrequent keywords tend to become sink for other keywords. Based on these findings, we hypothesize that frequent keywords form the Web's default mode, which becomes an information source for infrequent keywords that generally form the Web's reactive mode. We also found that the Web consists of different time resolutions with respect to TE among Twitter keywords, which will be another focal point of this paper.

  14. Exploring default mode and information flow on the web.

    Science.gov (United States)

    Oka, Mizuki; Ikegami, Takashi

    2013-01-01

    Social networking services (e.g., Twitter, Facebook) are now major sources of World Wide Web (called "Web") dynamics, together with Web search services (e.g., Google). These two types of Web services mutually influence each other but generate different dynamics. In this paper, we distinguish two modes of Web dynamics: the reactive mode and the default mode. It is assumed that Twitter messages (called "tweets") and Google search queries react to significant social movements and events, but they also demonstrate signs of becoming self-activated, thereby forming a baseline Web activity. We define the former as the reactive mode and the latter as the default mode of the Web. In this paper, we investigate these reactive and default modes of the Web's dynamics using transfer entropy (TE). The amount of information transferred between a time series of 1,000 frequent keywords in Twitter and the same keywords in Google queries is investigated across an 11-month time period. Study of the information flow on Google and Twitter revealed that information is generally transferred from Twitter to Google, indicating that Twitter time series have some preceding information about Google time series. We also studied the information flow among different Twitter keywords time series by taking keywords as nodes and flow directions as edges of a network. An analysis of this network revealed that frequent keywords tend to become an information source and infrequent keywords tend to become sink for other keywords. Based on these findings, we hypothesize that frequent keywords form the Web's default mode, which becomes an information source for infrequent keywords that generally form the Web's reactive mode. We also found that the Web consists of different time resolutions with respect to TE among Twitter keywords, which will be another focal point of this paper.

  15. Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Call interception additional network feature

    CERN Document Server

    International Organization for Standardization. Geneva

    2003-01-01

    Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Call interception additional network feature

  16. Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Call priority interruption and call priority interruption protection supplementary services

    CERN Document Server

    International Organization for Standardization. Geneva

    2003-01-01

    Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Call priority interruption and call priority interruption protection supplementary services

  17. Information technology - Telecommunications and information exchange between systems - Private Integrated Services Network - Specification, functional model and information flows - Call transfer supplementary service

    CERN Document Server

    International Organization for Standardization. Geneva

    2003-01-01

    Information technology - Telecommunications and information exchange between systems - Private Integrated Services Network - Specification, functional model and information flows - Call transfer supplementary service

  18. Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Recall supplementary service

    CERN Document Server

    International Organization for Standardization. Geneva

    2003-01-01

    Information technology - Telecommunications and information exchange between systems - Private integrated services network - Specification, functional model and information flows - Recall supplementary service

  19. Estimation of time-delayed mutual information and bias for irregularly and sparsely sampled time-series

    CERN Document Server

    Albers, DJ

    2011-01-01

    A method to estimate the time-dependent correlation via an empirical bias estimate of the time-delayed mutual information for a time-series is proposed. In particular, the bias of the time-delayed mutual information is shown to often be equivalent to the mutual information between two distributions of points from the same system separated by infinite time. Thus intuitively, estimation of the bias is reduced to estimation of the mutual information between distributions of data points separated by large time intervals. The proposed bias estimation techniques are shown to work for Lorenz equations data and glucose time series data of three patients from the Columbia University Medical Center database.

  20. Shadow networks: Discovering hidden nodes with models of information flow

    CERN Document Server

    Bagrow, James P; Frank, Morgan R; Manukyan, Narine; Mitchell, Lewis; Reagan, Andrew; Bloedorn, Eric E; Booker, Lashon B; Branting, Luther K; Smith, Michael J; Tivnan, Brian F; Danforth, Christopher M; Dodds, Peter S; Bongard, Joshua C

    2013-01-01

    Complex, dynamic networks underlie many systems, and understanding these networks is the concern of a great span of important scientific and engineering problems. Quantitative description is crucial for this understanding yet, due to a range of measurement problems, many real network datasets are incomplete. Here we explore how accidentally missing or deliberately hidden nodes may be detected in networks by the effect of their absence on predictions of the speed with which information flows through the network. We use Symbolic Regression (SR) to learn models relating information flow to network topology. These models show localized, systematic, and non-random discrepancies when applied to test networks with intentionally masked nodes, demonstrating the ability to detect the presence of missing nodes and where in the network those nodes are likely to reside.

  1. Complexity Information Flow in a Multi-threaded Imperative Language

    CERN Document Server

    Marion, Jean-Yves

    2012-01-01

    We propose a type system to analyze the time consumed by multi-threaded imperative programs with a shared global memory, which delineates a class of safe multi-threaded programs. We demonstrate that a safe multi-threaded program runs in polynomial time if (i) it is strongly terminating wrt a non-deterministic scheduling policy or (ii) it terminates wrt a deterministic and quiet scheduling policy. As a consequence, we also characterize the set of polynomial time functions. The type system presented is based on the fundamental notion of data tiering, which is central in implicit computational complexity. It regulates the information flow in a computation. This aspect is interesting in that the type system bears a resemblance to typed based information flow analysis and notions of non-interference. As far as we know, this is the first characterization by a type system of polynomial time multi-threaded programs.

  2. Information flow between weakly interacting lattices of coupled maps

    Energy Technology Data Exchange (ETDEWEB)

    Dobyns, York [PEAR, Princeton University, Princeton, NJ 08544-5263 (United States); Atmanspacher, Harald [Institut fuer Grenzgebiete der Psychologie und Psychohygiene, Wilhelmstr. 3a, 79098 Freiburg (Germany)]. E-mail: haa@igpp.de

    2006-05-15

    Weakly interacting lattices of coupled maps can be modeled as ordinary coupled map lattices separated from each other by boundary regions with small coupling parameters. We demonstrate that such weakly interacting lattices can nevertheless have unexpected and striking effects on each other. Under specific conditions, particular stability properties of the lattices are significantly influenced by their weak mutual interaction. This observation is tantamount to an efficacious information flow across the boundary.

  3. Session Types for Access and Information Flow Control

    OpenAIRE

    Capecchi, Sara; Castellani, Ilaria; Dezani-Ciancaglini, Mariangiola; Rezk, Tamara

    2010-01-01

    We consider a calculus for multiparty sessions with delegation, enriched with security levels for session participants and data. We propose a type system that guarantees both session safety and a form of access control. Moreover, this type system ensures secure information flow, including controlled forms of declassification. In particular, it prevents leaks due to the specific control constructs of the calculus, such as session opening, selection, branching and delegation. We illustrate the ...

  4. Time-delayed mutual information of the phase as a measure of functional connectivity

    National Research Council Canada - National Science Library

    Wilmer, Andreas; de Lussanet, Marc; Lappe, Markus

    2012-01-01

    ... oscillatory or even purely stochastic driven processes. By using this method we do not need to make any assumptions about coupling directions, delay times, temporal dynamics, nonlinearities or underlying mechanisms...

  5. Time-Delayed Mutual Information of the Phase as a Measure of Functional Connectivity: e44633

    National Research Council Canada - National Science Library

    Andreas Wilmer; Marc de Lussanet; Markus Lappe

    2012-01-01

    ... oscillatory or even purely stochastic driven processes [3]. By using this method we do not need to make any assumptions about coupling directions, delay times, temporal dynamics, nonlinearities or underlying mechanisms...

  6. Information Specificity Vulnerability: Comparison of Medication Information Flows in Different Health Care Units

    Science.gov (United States)

    Aarnio, Eeva; Raitoharju, Reetta

    Information on patient's medication is often vital especially when patient's condition is critical. However, the information does not yet move freely between different health care units and organizations. Before reaching the point of putting into practice any system that makes the inter-organizational medication information transmission possible, some prerequisites and characteristics of the information in different user organization should be defined. There are for instance units with different level of urgency and data/information intensity (e.g. emergency department vs. medical floor). The higher the urgency level, the more vulnerable the medication information flow is to different discontinuation situations. As a conceptual framework, a scoring system based on the asset specificity in the transaction cost theory and previous literacy on information flows of different health care units is created to define the vulnerability of the information flows. As there is a national medication database under planning, the scoring system could be used to assess the prerequisites for the medication database in Finland.

  7. Information Flow Model of Human Extravehicular Activity Operations

    Science.gov (United States)

    Miller, Matthew J.; McGuire, Kerry M.; Feigh, Karen M.

    2014-01-01

    Future human spaceflight missions will face the complex challenge of performing human extravehicular activity (EVA) beyond the low Earth orbit (LEO) environment. Astronauts will become increasingly isolated from Earth-based mission support and thus will rely heavily on their own decision-making capabilities and onboard tools to accomplish proposed EVA mission objectives. To better address time delay communication issues, EVA characters, e.g. flight controllers, astronauts, etc., and their respective work practices and roles need to be better characterized and understood. This paper presents the results of a study examining the EVA work domain and the personnel that operate within it. The goal is to characterize current and historical roles of ground support, intravehicular (IV) crew and EV crew, their communication patterns and information needs. This work provides a description of EVA operations and identifies issues to be used as a basis for future investigation.

  8. Inaccuracy of Location Information as a Consequence of Data Collection Delay and Presence of Misbehaving and Malicious Nodes

    DEFF Research Database (Denmark)

    Madsen, Tatiana Kozlova; Nielsen, Jimmy Jessen; Garcia, Mariano

    2012-01-01

    This paper presents an overview of current research investigations within the WHERE-2 Project with respect to possibilities of usage of geo-location information for protocol and system optimizations. In this work we would like to underline that incorporating the knowledge of nodes’ location...... in protocol design and optimizations one should be aware of the associated additional ”cost” in terms of increased communication overhead and processing requirements, as well as potential inaccuracy of the location information. We ellaborate on the example where location information becomes stale due to nodes......’ mobility and delays caused by transmission and propagation delays. Presence of malicious nodes can be another reason for erroneous location estimation. We demonstrate the importance of choosing localiza- tion techniques that are robust towards misbehaviours....

  9. Directedness of information flow in mobile phone communication networks.

    Directory of Open Access Journals (Sweden)

    Fernando Peruani

    Full Text Available Without having direct access to the information that is being exchanged, traces of information flow can be obtained by looking at temporal sequences of user interactions. These sequences can be represented as causality trees whose statistics result from a complex interplay between the topology of the underlying (social network and the time correlations among the communications. Here, we study causality trees in mobile-phone data, which can be represented as a dynamical directed network. This representation of the data reveals the existence of super-spreaders and super-receivers. We show that the tree statistics, respectively the information spreading process, are extremely sensitive to the in-out degree correlation exhibited by the users. We also learn that a given information, e.g., a rumor, would require users to retransmit it for more than 30 hours in order to cover a macroscopic fraction of the system. Our analysis indicates that topological node-node correlations of the underlying social network, while allowing the existence of information loops, they also promote information spreading. Temporal correlations, and therefore causality effects, are only visible as local phenomena and during short time scales. Consequently, the very idea that there is (intentional information spreading beyond a small vecinity is called into question. These results are obtained through a combination of theory and data analysis techniques.

  10. An information-theoretic framework for flow visualization.

    Science.gov (United States)

    Xu, Lijie; Lee, Teng-Yok; Shen, Han-Wei

    2010-01-01

    The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algorithm. From this point of view, we can evaluate the effectiveness of visualization by measuring how much information in the original data is being communicated through the visual communication channel. In this paper, we present an information-theoretic framework for flow visualization with a special focus on streamline generation. In our framework, a vector field is modeled as a distribution of directions from which Shannon's entropy is used to measure the information content in the field. The effectiveness of the streamlines displayed in visualization can be measured by first constructing a new distribution of vectors derived from the existing streamlines, and then comparing this distribution with that of the original data set using the conditional entropy. The conditional entropy between these two distributions indicates how much information in the original data remains hidden after the selected streamlines are displayed. The quality of the visualization can be improved by progressively introducing new streamlines until the conditional entropy converges to a small value. We describe the key components of our framework with detailed analysis, and show that the framework can effectively visualize 2D and 3D flow data.

  11. A time sequence analysis on the informal information flow mechanism of microblogging

    Institute of Scientific and Technical Information of China (English)

    Yuan; HU; Xiaoli; LIAO; Andong; WU

    2011-01-01

    Microblog is a new Internet featured product,which has seen a rapid development in recent years.Researchers from different countries are making various technical analyses on microblogging applications.In this study,through using the natural language processing(NLP)and data mining,we analyzed the information content transmitted via a microblog,users’social networks and their interactions,and carried out an empirical analysis on the dissemination process of one particular piece of information via Sina Weibo.Based on the result of these analyses,we attempt to develop a better understanding about the rule and mechanism of the informal information flow in microblogging.

  12. Electrophysiological measurement of information flow during visual search.

    Science.gov (United States)

    Cosman, Joshua D; Arita, Jason T; Ianni, Julianna D; Woodman, Geoffrey F

    2016-04-01

    The temporal relationship between different stages of cognitive processing is long debated. This debate is ongoing, primarily because it is often difficult to measure the time course of multiple cognitive processes simultaneously. We employed a manipulation that allowed us to isolate ERP components related to perceptual processing, working memory, and response preparation, and then examined the temporal relationship between these components while observers performed a visual search task. We found that, when response speed and accuracy were equally stressed, our index of perceptual processing ended before both the transfer of information into working memory and response preparation began. However, when we stressed speed over accuracy, response preparation began before the completion of perceptual processing or transfer of information into working memory on trials with the fastest reaction times. These findings show that individuals can control the flow of information transmission between stages, either waiting for perceptual processing to be completed before preparing a response or configuring these stages to overlap in time.

  13. Swarming collapse under limited information flow between individuals

    CERN Document Server

    Komareji, Mohammad; Bouffanais, Roland

    2014-01-01

    The emergence of collective decision in swarms and their coordinated response to complex environments underscore the central role played by social transmission of information. Here, the different possible origins of information flow bottlenecks are identified, and the associated effects on dynamic collective behaviors revealed using a combination of network-, control- and information-theoretic elements applied to a group of interacting self-propelled particles. We find a sufficient condition on the agents' bandwidth $B_{\\textrm{\\scriptsize n}}$ that guarantees the effectiveness of swarming while also highlighting the profound connection with the topology of the underlying interaction network. We also show that when decreasing $B_{\\textrm{\\scriptsize n}}$, the swarming behavior invariably vanishes following a second-order phase transition irrespectively of the intrinsic noise level.

  14. Delayed Treatment with Sodium Hydrosulfide Improves Regional Blood Flow and Alleviates Cecal Ligation and Puncture (CLP)-Induced Septic Shock.

    Science.gov (United States)

    Ahmad, Akbar; Druzhyna, Nadiya; Szabo, Csaba

    2016-08-01

    Cecal ligation and puncture (CLP)-induced sepsis is a serious medical condition, caused by a severe systemic infection resulting in a systemic inflammatory response. Recent studies have suggested the therapeutic potential of donors of hydrogen sulfide (H2S), a novel endogenous gasotransmitter and biological mediator in various diseases. The aim of the present study was to assess the effect of H2S supplementation in sepsis, with special reference to its effect on the modulation of regional blood flow. We infused sodium hydrosulfide (NaHS), a compound that produces H2S in aqueous solution (1, 3, or 10 mg/kg/h, for 1 h at each dose level) in control rats or rats 24 h after CLP, and measured blood flow using fluorescent microspheres. In normal control animals, NaHS induced a characteristic redistribution of blood flow, and reduced cardiac, hepatic, and renal blood flow in a dose-dependent fashion. In contrast, in rats subjected to CLP, cardiac, hepatic, and renal blood flow was significantly reduced; infusion of NaHS (1 mg/kg/h and 3 mg/kg/h) significantly increased organ blood flow. In other words, the effect of H2S on regional blood flow is dependent on the status of the animals (i.e., a decrease in blood flow in normal controls, but an increase in blood flow in CLP). We have also evaluated the effect of delayed treatment with NaHS on organ dysfunction and the inflammatory response by treating the animals with NaHS (3 mg/kg) intraperitoneally (i.p.) at 24 h after the start of the CLP procedure; plasma levels of various cytokines and tissue indicators of inflammatory cell infiltration and oxidative stress were measured 6 h later. After 24 h of CLP, glomerular function was significantly impaired, as evidenced by markedly increased (over 4-fold over baseline) blood urea nitrogen and creatinine levels; this increase was also significantly reduced by treatment with NaHS. NaHS also attenuated the CLP-induced increases in malondialdehyde levels (an index of

  15. Automatically Tracing Information Flow of Vulnerability and Cyber-Attack Information through Text Strings

    Science.gov (United States)

    2008-06-01

    software vendors, and try to provide a definitive statement about the vulnerability and its countermeasures. Note that flow analysis is independent of...34, "explains", "stated", "according to", "further information", etc. • Plagiarism , not as uncommon as one would hope. Of course, security crises...34says“ and "stated". • Plagiarism . • "Boilerplate", formalized statements for some legal or policy objective, e.g. "Additional Information: For the most

  16. Informative conditions for the data set in an MIMO networked control system with delays, packet dropout and transmission scheduling

    Science.gov (United States)

    Zhang, Cong; Xiong, Zhihua; Ye, Hao

    2014-07-01

    In system identification, a data set needs to be informative to guarantee that the identification criterion has a unique global minimum asymptotically and the parameter estimation is consistent. In this paper, we study the informativity of the data set in a multiple-input and multiple-output (MIMO) networked control system (NCS), which contains possible network-induced delays, packet dropout, transmission scheduling, or a combination of these factors in network transmission. Moreover, to guarantee the data set of this MIMO NCS to be informative, a group of conditions for network transmission and controller's proportional term are developed. Finally, simulation studies are given to illustrate the result.

  17. Reentrant Information Flow in Electrophysiological Rat Default Mode Network

    Science.gov (United States)

    Jing, Wei; Guo, Daqing; Zhang, Yunxiang; Guo, Fengru; Valdés-Sosa, Pedro A.; Xia, Yang; Yao, Dezhong

    2017-01-01

    Functional MRI (fMRI) studies have demonstrated that the rodent brain shows a default mode network (DMN) activity similar to that in humans, offering a potential preclinical model both for physiological and pathophysiological studies. However, the neuronal mechanism underlying rodent DMN remains poorly understood. Here, we used electrophysiological data to analyze the power spectrum and estimate the directed phase transfer entropy (dPTE) within rat DMN across three vigilance states: wakeful rest (WR), slow-wave sleep (SWS), and rapid-eye-movement sleep (REMS). We observed decreased gamma powers during SWS compared with WR in most of the DMN regions. Increased gamma powers were found in prelimbic cortex, cingulate cortex, and hippocampus during REMS compared with WR, whereas retrosplenial cortex showed a reverse trend. These changed gamma powers are in line with the local metabolic variation of homologous brain regions in humans. In the analysis of directional interactions, we observed well-organized anterior-to-posterior patterns of information flow in the delta band, while opposite patterns of posterior-to-anterior flow were found in the theta band. These frequency-specific opposite patterns were only observed in WR and REMS. Additionally, most of the information senders in the delta band were also the receivers in the theta band, and vice versa. Our results provide electrophysiological evidence that rat DMN is similar to its human counterpart, and there is a frequency-dependent reentry loop of anterior-posterior information flow within rat DMN, which may offer a mechanism for functional integration, supporting conscious awareness. PMID:28289373

  18. Optical flow with structure information for epithelial image mosaicing.

    Science.gov (United States)

    Ali, Sharib; Faraz, Khuram; Daul, Christian; Blondel, Walter

    2015-01-01

    Mosaicing of biological tissue surfaces is challenging due to the weak image textures. This contribution presents a mosaicing algorithm based on a robust and accurate variational optical flow scheme. A Riesz pyramid based multiscale approach aims at overcoming the "flattening-out" problem at coarser levels. Moreover, the structure information present in images of epithelial surfaces is incorporated into the data-term to improve the algorithm robustness. The algorithm accuracy is first assessed with simulated sequences and then used for mosaicing standard clinical endoscopic data.

  19. Building Information Modelling (BIM) and Unmanned Aerial Vehicle (UAV) technologies in infrastructure construction project management and delay and disruption analysis

    Science.gov (United States)

    Vacanas, Yiannis; Themistocleous, Kyriacos; Agapiou, Athos; Hadjimitsis, Diofantos

    2015-06-01

    Time in infrastructure construction projects has always been a fundamental issue as early as from the inception of a project, during the construction process and often after the completion and delivery. In a typical construction contract time related matters such as the completion date and possible delays are among the most important issues that are dealt with by the contract provisions. In the event of delay there are usually provisions for extension of time award to the contractor with possible reimbursement for the extra cost and expenses caused by this extension of time to the contract duration. In the case the contractor is not entitled to extension of time, the owner will be possibly entitled to amounts as compensation for the time prohibited from using his development. Even in the event of completion within the time agreed, under certain circumstances a contractor may have claims for reimbursement for extra costs incurred due to induced acceleration measures he had to take in order to mitigate disruption effects caused to the progress of the works by the owner or his representatives. Depending on the size of the project and the agreement amount, these reimbursement sums may be extremely high. Therefore innovative methods with the exploitation of new technologies for effective project management for the avoidance of delays, delay analysis and mitigation measures are essential; moreover, methods for collecting efficiently information during the construction process so that disputes regarding time are avoided or resolved in a quick and fair manner are required. This paper explores the state of art for existing use of Building Information Modelling (BIM) and Unmanned Aerial Vehicles (UAV) technologies in the construction industry in general. Moreover the paper considers the prospect of using BIM technology in conjunction with the use of UAV technology for efficient and accurate as-built data collection and illustration of the works progress during an

  20. Exploring super-gaussianity towards robust information-theoretical time delay estimation

    DEFF Research Database (Denmark)

    Petsatodis, Theodoros; Talantzis, Fotios; Boukis, Christos;

    2013-01-01

    Time delay estimation (TDE) is a fundamental component of speaker localization and tracking algorithms. Most of the existing systems are based on the generalized cross-correlation method assuming gaussianity of the source. It has been shown that the distribution of speech, captured with far...

  1. [Systematization of data and information on delayed consequences of the effects of chemicals in humans].

    Science.gov (United States)

    Ianno, L V; Pimenova, M N; Osipova, I V

    1993-01-01

    The systematization and analysis of the data connected with delayed consequences arising in human body from exposure to dangerous chemicals have been carried out. The paper contains the list of dangerous chemicals exerting mutagenic or carcinogenic effects and chromosome aberrations. The cytologic express method of revealing mucous membrane dysplasia resulting from exposure to some chemical mutagens have been evaluated.

  2. An information flow analysis of a distributed information system for space medical support.

    Science.gov (United States)

    Zhang, Tao; Aranzamendez, Gina; Rinkus, Susan; Gong, Yang; Rukab, Jamie; Johnson-Throop, Kathy A; Malin, JaneT; Zhang, Jiajie

    2004-01-01

    In this study, we applied the methodology grounded in human-centered distributed cognition principles to the information flow analysis of a highly intensive, distributed and complex environment--the Biomedical Engineer (BME) console system at NASA Johnson Space Center. This system contains disparate human and artificial agents and artifacts. Users and tasks of this system were analyzed. An ethnographic study and a detailed communication pattern analysis were conducted to gain deeper insight and better understanding of the information flow patterns and the organizational memory of the current BME console system. From this study, we identified some major problems and offered recommendations to improve the efficiency and effectiveness of this system. We believe that this analysis methodology can be used in other distributed information systems, such as a healthcare environment.

  3. Fine-grained Information Flow for Concurrent Computation

    DEFF Research Database (Denmark)

    Li, Ximeng

    ” and “what” into consideration, emphasizing the importance of the integrity case where the former is more sensitive than the latter. This case captures the effect of Message Authentication Codes (MAC) and the consequence of Denial of Service (DoS) attacks. It is also proved that the property degenerates......It is essential to protect IT systems against security threats. An example would be the control of aircraft, which uses an internal network that passengers can access. It is important to ensure that malicious code on passenger equipment cannot endanger flight safety. Information flow control...... is an important approach to the protection of systems against such threats. Notable examples include tainting analyses in languages such as Javascript, and program transformations on cryptographic algorithms to avoid information leakage through running time. A wide variety of techniques, including type systems...

  4. Effect of body position and ventilation on umbilical artery and venous blood flows during delayed umbilical cord clamping in preterm lambs.

    Science.gov (United States)

    Hooper, Stuart B; Crossley, Kelly J; Zahra, Valerie A; van Vonderen, Jeroen; Moxham, Alison; Gill, Andrew W; Kluckow, Martin; Te Pas, Arjan B; Wallace, Euan M; Polglase, Graeme R

    2017-07-01

    While delayed umbilical cord clamping (UCC) is thought to facilitate placental to infant blood transfusion, the physiological factors regulating flow in the umbilical arteries and veins during delayed UCC is unknown. We investigated the effects of gravity, by changing fetal height relative to the placenta, and ventilation on umbilical blood flows and the cardiovascular transition during delayed UCC at birth. Catheters and flow probes were implanted into preterm lambs (128 days) prior to delivery to measure pulmonary, carotid, umbilical artery (UaBF) and umbilical venous (UvBF) blood flows. Lambs were placed either 10 cm below or 10 cm above the ewe. Ventilation commenced 2-3 min before UCC and continued for 30 min after UCC. Gravity reduced umbilical and cerebral flows when lambs were placed below the midline, but the reduction in UaBF and UvBF was similar. Ventilation during delayed UCC reduced UvBF and UaBF by similar amounts, irrespective of the lamb's position, such that flows into and out of the placenta remained balanced. The effects of ventilation on umbilical flows were much greater than the effects of gravity, but no net placental to lamb blood transfusion could be detected under any condition. Cardiovascular parameters, cerebral oxygen kinetics and final blood volumes were similar in both groups 5 min after UCC. Gravity caused small transient effects on umbilical and cerebral flow, but given changes were similar in umbilical arteries and veins, no net placental transfusion was detected. Ventilation during delayed UCC has a markedly greater influence on cardiovascular function in the newborn. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  5. INFORMATION FLOW IN SUPPLY CHAIN MANAGEMENT WITH AN EXAMPLE OF WASTE MANAGEMENT COMPANY

    OpenAIRE

    Joanna Nowakowska-Grunt; Janusz Grabara

    2007-01-01

    The paper presents information flow process in management of supply chains. Authors notices information flows as a driving element of the global supply chain. Authors points also on the logistics aspects in supply chain of waste management company

  6. On the relation between Differential Privacy and Quantitative Information Flow

    CERN Document Server

    Alvim, Mário S; Chatzikokolakis, Konstantinos; Palamidessi, Catuscia; 10.1007/978-3-642-22012-8_4

    2011-01-01

    Differential privacy is a notion that has emerged in the community of statistical databases, as a response to the problem of protecting the privacy of the database's participants when performing statistical queries. The idea is that a randomized query satisfies differential privacy if the likelihood of obtaining a certain answer for a database $x$ is not too different from the likelihood of obtaining the same answer on adjacent databases, i.e. databases which differ from $x$ for only one individual. Information flow is an area of Security concerned with the problem of controlling the leakage of confidential information in programs and protocols. Nowadays, one of the most established approaches to quantify and to reason about leakage is based on the R\\'enyi min entropy version of information theory. In this paper, we analyze critically the notion of differential privacy in light of the conceptual framework provided by the R\\'enyi min information theory. We show that there is a close relation between differenti...

  7. Directedness of information flow in mobile phone communication networks

    CERN Document Server

    Peruani, Fernando; 10.1371/journal.pone.0028860

    2013-01-01

    Without having direct access to the information that is being exchanged, traces of information flow can be obtained by looking at temporal sequences of user interactions. These sequences can be represented as causality trees whose statistics result from a complex interplay between the topology of the underlying (social) network and the time correlations among the communications. Here, we study causality trees in mobile-phone data, which can be represented as a dynamical directed network. This representation of the data reveals the existence of super-spreaders and super-receivers. We show that the tree statistics, respectively the information spreading process, are extremely sensitive to the in-out degree correlation exhibited by the users. We also learn that a given information, e.g., a rumor, would require users to retransmit it for more than 30 hours in order to cover a macroscopic fraction of the system. Our analysis indicates that topological node-node correlations of the underlying social network, while ...

  8. Towards facilitating circular product life-cycle information flow via remanufacturing

    OpenAIRE

    Kurilova-Palisaitiene, Jelena; Lindkvist, Louise; Sundin, Erik

    2015-01-01

    In order to achieve a sustainable development, circular economy approaches and circular material flows are explored in industry. However, circular information flows remain essentially unestablished. The aim of this paper is to: 1) explore categories and types of product life-cycle information available for remanufacturing; 2) identify constraints for efficient product life-cycle information flow via remanufacturing; and 3) propose initiatives to facilitate product life-cycle information flow ...

  9. Developing measures for the evaluation of information flow efficiency in supply chains

    Directory of Open Access Journals (Sweden)

    Johanna A. Badenhorst

    2013-05-01

    Full Text Available Member organisations in a supply chain are dependent on each other to provide material, services and information to perform optimally in the supply chain. Efficient, unrestricted information flow is needed in supply chains to function properly. Information flow is thus an element of supply chain management that needs to be managed. Yet, no indication could be found in supply chain management literature of the measurement of information flow efficiency. Hence, the aim of this article is to explore the measurement of information flow efficiency in supply chain management (SCM and exploratively develop possible measures (indicators and associated metrics to measure the efficiency of information flow.In this research the theory of information and related concepts, the basic notions of information systems and the models of business performance measurement were explored. Based on information flow theory and information flow characteristics a research instrument was developed. It was used in a survey to seek inputs from supply chain managers as to the usefulness of characteristics as indicators and metrics for the measurement of information flow efficiency in a supply chain. The main contribution of the study is the development of a conceptual framework of indicators and metrics that may be used to evaluate the efficiency of information flows in supply chains. The results of this study can be used as a basis for further studies to validate the instrument for measuring information flow efficiency and to develop scales to actually measure information flow efficiency.

  10. Event-Triggered State Estimation for a Class of Delayed Recurrent Neural Networks with Sampled-Data Information

    Directory of Open Access Journals (Sweden)

    Hongjie Li

    2012-01-01

    Full Text Available The paper investigates the state estimation problem for a class of recurrent neural networks with sampled-data information and time-varying delays. The main purpose is to estimate the neuron states through output sampled measurement; a novel event-triggered scheme is proposed, which can lead to a significant reduction of the information communication burden in the network; the feature of this scheme is that whether or not the sampled data should be transmitted is determined by the current sampled data and the error between the current sampled data and the latest transmitted data. By using a delayed-input approach, the error dynamic system is equivalent to a dynamic system with two different time-varying delays. Based on the Lyapunov-krasovskii functional approach, a state estimator of the considered neural networks can be achieved by solving some linear matrix inequalities, which can be easily facilitated by using the standard numerical software. Finally, a numerical example is provided to show the effectiveness of the proposed event-triggered scheme.

  11. Information Flow in Teachers' Organizations in Israel During Confrontations with Employers: I

    Science.gov (United States)

    Glasman, Naftaly S.

    1975-01-01

    First part of an article examining the content of information flow; the amount of information released; the mechanism of the flow; the factors affecting the content, amount, and mechanism; and the corollaries of information flow and the characteristics of the school system. Includes the questions put to the teachers. (Author/IRT)

  12. Information flow among neural networks with Bayesian estimation

    Institute of Scientific and Technical Information of China (English)

    LI Yan; LI XiaoLi; OUYANG GaoXiang; GUAN XinPing

    2007-01-01

    Estimating the interaction among neural networks is an interesting issue in neuroscience. Some methods have been proposed to estimate the coupling strength among neural networks; however, few estimations of the coupling direction (information flow) among neural networks have been attempted. It is known that Bayesian estimator is based on a priori knowledge and a probability of event occurrence. In this paper, a new method is proposed to estimate coupling directions among neural networks with conditional mutual information that is estimated by Bayesian estimation. First, this method is applied to analyze the simulated EEG series generated by a nonlinear lumped-parameter model. In comparison with the conditional mutual information with Shannon entropy, it is found that this method is more successful in estimating the coupling direction, and is insensitive to the length of EEG series. Therefore, this method is suitable to analyze a short time series in practice. Second, we demonstrate how this method can be applied to the analysis of human intracranial epileptic electroencephalogram (EEG) recordings, and to indicate the coupling directions among neural networks. Therefore, this method helps to elucidate the epileptic focus localization.

  13. Effective communication : satellite system poised to improve information flow

    Energy Technology Data Exchange (ETDEWEB)

    Macedo, R.

    2009-01-15

    This paper described a new satellite technology that can be used to transfer important information from offshore oil and gas facilities to decision-makers in distant onshore offices. Cascade Data Services (CDS), a subsidiary of British Columbia-based MDA Corporation, is developing a high-speed low-latency satellite information transfer service which has its roots in the Cascade Smallsat and Ionospheric Polar Explorer (CASSIOPE) mission scheduled for launch in 2009. The technology will enable customers to move thousands of gigabytes to and from anywhere on the planet on a daily basis. CASSIOPE received funding from the Canadian Space Agency and Technology Partnerships Canada. The first payload will be a suite of space science instruments known as the Enhanced Polar Outflow Probe (e-Pop) developed by researchers at the University of Calgary. The second payload will involve a demonstration of the digital courier service model and delivery of large digital data files. CDS has entered into an alliance with O3b Networks funded by Google Inc., Liberty Global Inc., and HSBC Principal Investments, among others. The technological development should improve the flow of information, making oil and gas operations in remote areas more efficient and help cut costs. 1 ref., 2 figs.

  14. Information flow during the quantum-classical transition

    Energy Technology Data Exchange (ETDEWEB)

    Kowalski, A.M., E-mail: kowalski@fisica.unlp.edu.a [Instituto de Fisica (IFLP-CCT-Conicet), Fac. de Ciencias Exactas, Universidad Nacional de La Plata, C.C. 727, 1900 La Plata (Argentina)] [Comision de Investigaciones Cientificas (CIC) (Argentina); Martin, M.T., E-mail: mtmartin@fisica.unlp.edu.a [Instituto de Fisica (IFLP-CCT-Conicet), Fac. de Ciencias Exactas, Universidad Nacional de La Plata, C.C. 727, 1900 La Plata (Argentina)] [Argentina' s National Research Council (CONICET) (Argentina); Plastino, A., E-mail: plastino@fisica.unlp.edu.a [Instituto de Fisica (IFLP-CCT-Conicet), Fac. de Ciencias Exactas, Universidad Nacional de La Plata, C.C. 727, 1900 La Plata (Argentina)] [Argentina' s National Research Council (CONICET) (Argentina); Zunino, L., E-mail: lucianoz@ciop.unlp.edu.a [Instituto de Fisica Interdisciplinar y Sistemas Complejos (IFISC) CSIC-UIB, Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca (Spain)] [Centro de Investigaciones Opticas (CONICET La Plata - CIC), C.C. 3, 1897 Gonnet (Argentina)] [Departamento de Ciencias Basicas, Facultad de Ingenieria, Universidad Nacional de La Plata (UNLP), 1900 La Plata (Argentina)

    2010-04-12

    We have exhaustively investigated the classical limit of the semi-classical evolution with reference to a well-known model that represents the interaction between matter and a given field. In this Letter we approach this issue by recourse to a new statistical quantifier called the 'symbolic transfer entropy' [T. Schreiber, Phys. Rev. Lett. 85 (2000) 461; M. Staniek, K. Lehnertz, Phys. Rev. Lett. 100 (2008) 158101]. We encounter that the quantum-classical transition gets thereby described as the sign reversal of the dominating direction of the information flow between classical and quantal variables. This can be considered as an evidence of the physical useful of this new statistical quantifier.

  15. The Information Flow Framework: A Descriptive Category Metatheory

    CERN Document Server

    Kent, Robert E

    2011-01-01

    The Information Flow Framework (IFF) is a descriptive category metatheory. It is an experiment in foundations, which follows a bottom-up approach to logical description. The IFF forms the structural aspect of the IEEE P1600.1 Standard Upper Ontology (SUO) project. The categorical approach of the IFF provides a principled framework for the modular design of object-level ontologies. The IFF represents meta-logic, and as such operates at the structural level of ontologies. In the IFF, there is a precise boundary between the metalevel and the object level. The modular architecture of the IFF consists of metalevels, namespaces and meta-ontologies. Each metalevel services the levels below by providing a metalanguage used to declare and axiomatize those levels. Corresponding to the metalevels are nested metalanguages, where each metalanguage axiomatization includes specialization of the one immediately above. Within each metalevel, the terminology is partitioned into namespaces, and various namespaces are collected ...

  16. Instantaneous information propagation in free flow, synchronized flow, stop-and-go waves in a cellular automaton model

    Institute of Scientific and Technical Information of China (English)

    Jiang Rui; Jin Wen-Long; Wu Qing-Song

    2008-01-01

    Recently, a number of efforts are underway to investigate inter-vehicle communications (IVC). This paper studies the instantaneous information propagation behaviours based on IVC in three different traffic situations (free flow,synchronized flow and stop-and-go waves) in a cellular automaton model. It is shown that different behaviours appear in stop-and-go waves from those in free flow and synchronized flow. While the distribution of Multi-hop Communication Distance (MhCD) is either exponential or uniform in free flow and synchronized flow, the distribution of MhCD is either exponential or with a single peak in stop-and-go waves.

  17. ERP correlates of the incidental retrieval of emotional information: effects of study-test delay.

    Science.gov (United States)

    Jaeger, Antonio; Johnson, Jeffrey D; Corona, Maria; Rugg, Michael D

    2009-05-07

    Prior studies indicate that, in tests of recognition memory, ERPs elicited by correctly recognized test items differ according to whether the items were encoded in an emotionally arousing or an emotionally neutral study context. These prior studies employed only a relatively brief (ca. 10 min) retention interval, however. The present study contrasted the ERP correlates of incidental emotional retrieval as a function of study-test delay. Pictures of emotionally neutral objects were encoded in association with either emotionally negative or emotionally neutral scenes. In a repeated measures design (N=19), half of the objects were subjected to a recognition memory test 10 min after completion of the study phase, whereas the remainder were tested 24 h later. After the short delay, ERPs elicited by objects paired with emotional vs. neutral backgrounds differed from around 200 ms post-stimulus, the objects paired with the emotional scenes eliciting the more positive-going waveforms. After 24 h, differences between the ERPs elicited by the two classes of object were still apparent from around 200 ms post-stimulus. Strikingly, these effects differed from those obtained 10 min after study in both their polarity and scalp distribution. The early onset of these ERP effects suggests that they may reflect a form of memory independent of the conscious recollection of the associated study contexts. The qualitative differences in the effects at the two retention intervals raise the possibility that the encoded objects were subjected to consolidation processes that differed according to the emotional attributes of their study contexts.

  18. Photonic compressive sensing for analog-to-information conversion with a delay-line based microwave photonic filter

    Science.gov (United States)

    Zhu, Zhijing; Chi, Hao; Jin, Tao; Zheng, Shilie; Jin, Xiaofeng; Zhang, Xianmin

    2016-07-01

    Compressive sensing (CS) in the photonic domain is highly promising for analog-to-information conversion of sparse signals due to its potential capability of high input bandwidth and digitization with sub-Nyquist sampling. In this paper, we suggest that the concept of delay-line based microwave photonic filter be used in photonic CS to realize the low-pass filtering (LPF) function which is required in CS. A microwave photonic filter (MPF) with a dispersive element and fiber delay lines is applied in photonic CS to achieve better performance and flexibility. In the approach, the input radio-frequency signal and the pseudorandom bit sequence (PRBS) are modulated on a multi-wavelength optical carrier and propagate through a dispersive element. The modulated optical signal is split into multiple channels with tunable delay lines. The multiple wavelengths, dispersive element and multiple channels constitute a reconfigurable low-pass microwave filter. Experiment and simulations are presented to demonstrate the feasibility and potentials of this approach.

  19. Geographic information system documentation of watershed data for Direct/Delayed Response Project. Southern Blue Ridge Province data base

    Energy Technology Data Exchange (ETDEWEB)

    Mortenson, D.C.

    1989-03-01

    The Direct/Delayed Response Project (DDRP) was designed by the U.S. Environmental Protection Agency within the National Acid Precipitation Assessment Program to predict the long-term response of watersheds and surface waters to acidic deposition. The purpose of the DDRP is to investigate and distinguish the time scales over which surface-water systems might change chemically under varying levels of acidic deposition. The DDRP is examining a subset of watersheds sampled as part of the National Surface Water Survey. In the Southern Blue Ridge Province Region of the United States, 35 watersheds are under study. The DDRP required detailed watershed information on those characteristics thought important relative to the effects of acid deposition. The information was then mapped, then entered into a Geographic Information System (GIS). The document discuss protocols, guidelines, and standards used to complete GIS entry of the mapping data, and quality-control procedures were used to ensure accuracy and consistency.

  20. Correction of misleading information in prescription drug television advertising: The roles of advertisement similarity and time delay.

    Science.gov (United States)

    Aikin, Kathryn J; Southwell, Brian G; Paquin, Ryan S; Rupert, Douglas J; O'Donoghue, Amie C; Betts, Kevin R; Lee, Philip K

    Prescription drug television advertisements containing potentially consequential misinformation sometimes appear in the United States. When that happens, the U.S. Food and Drug Administration can request that companies distribute corrective advertisements to address misinformation and inaccurate claims. Previous research has demonstrated effectiveness in corrective advertising for various products. The present article builds on that work with a randomized experimental study (n = 6454) of corrective advertising investigating the extent to which visual similarity matters between violative and corrective ads and the extent to which time delay matters between violative and corrective advertisement exposure. Our study sample included overweight or obese U.S. adults recruited from an existing online consumer panel representative of the U.S. adult population. We created a brand for a fictitious prescription weight-loss drug and produced corresponding direct-to-consumer (DTC) television ads. All participants viewed the same violative ad, but were randomly assigned to view corrective ads with different levels of visual similarity and exposure time delay using a 4 × 4 between-subjects factorial design. Results suggest corrective ad exposure can influence consumer perceptions of drug efficacy, risks, and benefits previously established by violative ads that overstated drug efficacy, broadened drug indication, and omitted important risk information. Corrective ads also can weaken consumer intentions to consider and investigate a drug. However, ad similarity does not appear to affect consumer perceptions and preferences. Although we found that the effects of violative ad exposure tend to diminish over time, the length of the delay between violative and corrective ad exposure has limited influence. An exception to this was observed with regard to recall of drug benefits and risks, where the impact of corrective ad exposure increases with greater time delay. These results

  1. A Socially Aware Routing Based on Local Contact Information in Delay-Tolerant Networks

    Directory of Open Access Journals (Sweden)

    Chan-Myung Kim

    2014-01-01

    Full Text Available In delay-tolerant networks, network topology changes dynamically and there is no guarantee of continuous connectivity between any two nodes. These features make DTN routing one of important research issues, and the application of social network metrics has led to the design of recent DTN routing schemes. In this paper, we propose an efficient routing scheme by using a node’s local contact history and social network metrics. Each node first chooses a proper relay node based on the closeness to the destination node. A locally computed betweenness centrality is additionally utilized to enhance the routing efficiency. Through intensive simulation, we finally demonstrate that our algorithm performs efficiently compared to the existing epidemic or friendship routing scheme.

  2. Developing measures for the evaluation of information flow efficiency in supply chains

    OpenAIRE

    Johanna A. Badenhorst; Claus Maurer; Tersia Brevis-Landsberg

    2013-01-01

    Member organisations in a supply chain are dependent on each other to provide material, services and information to perform optimally in the supply chain. Efficient, unrestricted information flow is needed in supply chains to function properly. Information flow is thus an element of supply chain management that needs to be managed. Yet, no indication could be found in supply chain management literature of the measurement of information flow efficiency. Hence, the aim of this article is to exp...

  3. Information Flow Through Stages of Complex Engineering Design Projects: A Dynamic Network Analysis Approach

    DEFF Research Database (Denmark)

    Parraguez, Pedro; Eppinger, Steven D.; Maier, Anja

    2015-01-01

    information flows between activities in complex engineering design projects; 2) we show how the network of information flows in a large-scale engineering project evolved over time and how network analysis yields several managerial insights; and 3) we provide a useful new representation of the engineering...... design process and thus support theory-building toward the evolution of information flows through systems engineering stages. Implications include guidance on how to analyze and predict information flows as well as better planning of information flows in engineering design projects according......The pattern of information flow through the network of interdependent design activities is thought to be an important determinant of engineering design process results. A previously unexplored aspect of such patterns relates to the temporal dynamics of information transfer between activities...

  4. The Impact of Delayed Topology Information in Proactive Routing Protocols for MANETs

    Science.gov (United States)

    2008-11-28

    to obtain information about the change in topology. Let Pfe (l) the probability of failure to received a �ooding message by a node l hops away from the...information inconsistency between a node l 1 hops from the originator of the information and its neighbor at l hops. pic (i; l) is given by pic (i; l) = Pfe ...1) i1 (1 Pfe (1)) ; if l = 1 Pif (l) Pfe (l) i1 (1 Pfe (l)) ; if l > 1 : DT (l 1; l;K;) is then found using DT (l 1; l;K;) = 1X i=1 DT (l

  5. Analysis of system trustworthiness based on information flow noninterference theory

    Institute of Scientific and Technical Information of China (English)

    Xiangying Kong; Yanhui Chen; Yi Zhuang

    2015-01-01

    The trustworthiness analysis and evaluation are the bases of the trust chain transfer. In this paper the formal method of trustworthiness analysis of a system based on the noninterfer-ence (NI) theory of the information flow is studied. Firstly, existing methods cannot analyze the impact of the system states on the trustworthiness of software during the process of trust chain trans-fer. To solve this problem, the impact of the system state on trust-worthiness of software is investigated, the run-time mutual interfer-ence behavior of software entities is described and an interference model of the access control automaton of a system is established. Secondly, based on the intransitive noninterference (INI) theory, a formal analytic method of trustworthiness for trust chain transfer is proposed, providing a theoretical basis for the analysis of dynamic trustworthiness of software during the trust chain transfer process. Thirdly, a prototype system with dynamic trustworthiness on a plat-form with dual core architecture is constructed and a verification algorithm of the system trustworthiness is provided. Final y, the monitor hypothesis is extended to the dynamic monitor hypothe-sis, a theorem of static judgment rule of system trustworthiness is provided, which is useful to prove dynamic trustworthiness of a system at the beginning of system construction. Compared with previous work in this field, this research proposes not only a formal analytic method for the determination of system trustworthiness, but also a modeling method and an analysis algorithm that are feasible for practical implementation.

  6. Automation in semiconductor production minienvironments, flexibility and information flow

    Science.gov (United States)

    Dudde, Ralf; Staudt-Fischbach, Peter; Herzog, Olaf

    1995-09-01

    The productivity of semiconductor fabs can be improved significantly by the combined action of several measures: Usage of expensive resources only at the point of use, like limiting the generation of a particlefree clean room environment to the immediate surrounding of wafers and wafer processed by usage of mini-environments and SMIF-wafer capsulation. Improvement of the logistic and material flow by an appropriate computer control system in the production line especially for a flexible IC- production. With its new Institute of Silicon Technology (ISiT) in Itzehoe the Fraunhofer-Society for applied research is now realizing an advanced CMOS pilot-line starting with a 0.5 (mu) process that is dedicated from the very beginning for an optimum in flexibility, productivity and lowest running costs. The complete concept for mini- environments, SMIF upgrade of the equipment and production control software was developed in a cooperation between the Fraunhofer institutes for Silicon Technology (ISiT) and Production automation (IPA). The Jenoptic, Jena, was chosen as supplier of SMIF components, mini-environments and identification software. The Line-Information- System, which operates as a low-cost manufacturing execution system, has been developed by the Fraunhofer-IPA using a central database system and client applications to access it. It tracks the actual work in progress in the fab, maintains equipment and lot history and allows production and cost monitoring and optimization.

  7. Fast photonic information processing using semiconductor lasers with delayed optical feedback: role of phase dynamics.

    Science.gov (United States)

    Nguimdo, Romain Modeste; Verschaffelt, Guy; Danckaert, Jan; Van der Sande, Guy

    2014-04-01

    Semiconductor lasers subject to delayed optical feedback have recently shown great potential in solving computationally hard tasks. By optically implementing a neuro-inspired computational scheme, called reservoir computing, based on the transient response to optical data injection, high processing speeds have been demonstrated. While previous efforts have focused on signal bandwidths limited by the semiconductor laser's relaxation oscillation frequency, we demonstrate numerically that the much faster phase response makes significantly higher processing speeds attainable. Moreover, this also leads to shorter external cavity lengths facilitating future on-chip implementations. We numerically benchmark our system on a chaotic time-series prediction task considering two different feedback configurations. The results show that a prediction error below 4% can be obtained when the data is processed at 0.25 GSamples/s. In addition, our insight into the phase dynamics of optical injection in a semiconductor laser also provides a clear understanding of the system performance at different pump current levels, even below solitary laser threshold. Considering spontaneous emission noise and noise in the readout layer, we obtain good prediction performance at fast processing speeds for realistic values of the noise strength.

  8. Stereo side information generation in low-delay distributed stereo video coding

    DEFF Research Database (Denmark)

    Salmistraro, Matteo; Forchhammer, Søren

    2012-01-01

    Distributed Video Coding (DVC) is a technique that allows shifting the computational complexity from the encoder to the decoder. One of the core elements of the decoder is the creation of the Side Information (SI), which is a hypothesis of what the to-be-decoded frame looks like. Much work on DVC...

  9. VA/DOD Federal Health Care Center: Costly Information Technology Delays Continue and Evaluation Plan Lacking

    Science.gov (United States)

    2012-06-01

    portability, which would allow VA and DOD clinicians to place, manage, and update clinical orders from either VA or DOD electronic health records systems...on, which includes five dedicated, full-time pharmacists to conduct manual checks of patient records to reconcile allergy information and identify

  10. Information flow and controlling in regularization inversion of quantitative remote sensing

    Institute of Scientific and Technical Information of China (English)

    YANG Hua; XU Wangli; ZHAO Hongrui; CHEN Xue; WANG Jindi

    2005-01-01

    In order to minimize uncertainty of the inversed parameters to the largest extent by making full use of the limited information in remote sensing data, it is necessary to understand what the information flow in quantitative remote sensing model inversion is, thus control the information flow. Aiming at this, the paper takes the linear kernel-driven model inversion as an example. At first, the information flow in different inversion methods is calculated and analyzed, then the effect of information flow controlled by multi-stage inversion strategy is studied, finally, an information matrix based on USM is defined to control information flow in inversion. It shows that using Shannon entropy decrease of the inversed parameters can express information flow more properly. Changing the weight of a priori knowledge in inversion or fixing parameters and partitioning datasets in multi-stage inversion strategy can control information flow. In regularization inversion of remote sensing, information matrix based on USM may be a better tool for quantitatively controlling information flow.

  11. A Comparative Metroscope Model for Urban Information Flows

    Science.gov (United States)

    Fink, J. H.; Shandas, V.; Beaudoin, F.

    2011-12-01

    One of the most promising ways to achieve global sustainability goals of climate stabilization, poverty reduction, and biodiversity preservation is to make the world's cities more efficient, equitable, and healthful. While each city must follow a unique and somewhat idiosyncratic path toward these linked goals based on its history, geography, demography, and politics, movement in this direction can accelerate if cities can learn from each other more effectively. Such learning requires the identification of common characteristics and methodologies. We have created a framework for organizing and applying urban information flows, which we refer to as "Metroscopes." Metroscopes, which are analogous to the large instruments that have advanced the physical and life sciences, integrate six elements: data collection and input; classification through the use of metrics; data storage and retrieval; analytics and modeling; decision support including visualization and scenario generation; and assessment of the effectiveness of policy choices. Standards for each of these elements can be agreed upon by relevant urban science and policy sub-communities, and then can evolve as technologies and practices advance. We are implementing and calibrating this approach using data and relationships from Portland (OR), Phoenix (AZ) and London (UK). Elements that are being integrated include the Global City Indicators Facility at University of Toronto, the J-Earth database system and Decision Theater from Arizona State University, urban mobility analyses performed by the SENSEable City Lab at MIT, and Portland's Ecodistrict approach for urban management. Individual Metroscopes can be compared directly from one city to another, or with larger assemblages of cities like those being classified by ICLEI's STAR program, the Clinton Climate Initiative's C40, and Siemens Green Cities Index. This large-scale integration of urban data sets and approaches and its systematic comparison are key steps

  12. Nucleotide binding switches the information flow in ras GTPases.

    Science.gov (United States)

    Raimondi, Francesco; Portella, Guillem; Orozco, Modesto; Fanelli, Francesca

    2011-03-01

    The Ras superfamily comprises many guanine nucleotide-binding proteins (G proteins) that are essential to intracellular signal transduction. The guanine nucleotide-dependent intrinsic flexibility patterns of five G proteins were investigated in atomic detail through Molecular Dynamics simulations of the GDP- and GTP-bound states (S(GDP) and S(GTP), respectively). For all the considered systems, the intrinsic flexibility of S(GDP) was higher than that of S(GTP), suggesting that Guanine Exchange Factor (GEF) recognition and nucleotide switch require higher amplitude motions than effector recognition or GTP hydrolysis. Functional mode, dynamic domain, and interaction energy correlation analyses highlighted significant differences in the dynamics of small G proteins and Gα proteins, especially in the inactive state. Indeed, S(GDP) of Gα(t), is characterized by a more extensive energy coupling between nucleotide binding site and distal regions involved in GEF recognition compared to small G proteins, which attenuates in the active state. Moreover, mechanically distinct domains implicated in nucleotide switch could be detected in the presence of GDP but not in the presence of GTP. Finally, in small G proteins, functional modes are more detectable in the inactive state than in the active one and involve changes in solvent exposure of two highly conserved amino acids in switches I and II involved in GEF recognition. The average solvent exposure of these amino acids correlates in turn with the rate of GDP release, suggesting for them either direct or indirect roles in the process of nucleotide switch. Collectively, nucleotide binding changes the information flow through the conserved Ras-like domain, where GDP enhances the flexibility of mechanically distinct portions involved in nucleotide switch, and favors long distance allosteric communication (in Gα proteins), compared to GTP.

  13. Nucleotide binding switches the information flow in ras GTPases.

    Directory of Open Access Journals (Sweden)

    Francesco Raimondi

    2011-03-01

    Full Text Available The Ras superfamily comprises many guanine nucleotide-binding proteins (G proteins that are essential to intracellular signal transduction. The guanine nucleotide-dependent intrinsic flexibility patterns of five G proteins were investigated in atomic detail through Molecular Dynamics simulations of the GDP- and GTP-bound states (S(GDP and S(GTP, respectively. For all the considered systems, the intrinsic flexibility of S(GDP was higher than that of S(GTP, suggesting that Guanine Exchange Factor (GEF recognition and nucleotide switch require higher amplitude motions than effector recognition or GTP hydrolysis. Functional mode, dynamic domain, and interaction energy correlation analyses highlighted significant differences in the dynamics of small G proteins and Gα proteins, especially in the inactive state. Indeed, S(GDP of Gα(t, is characterized by a more extensive energy coupling between nucleotide binding site and distal regions involved in GEF recognition compared to small G proteins, which attenuates in the active state. Moreover, mechanically distinct domains implicated in nucleotide switch could be detected in the presence of GDP but not in the presence of GTP. Finally, in small G proteins, functional modes are more detectable in the inactive state than in the active one and involve changes in solvent exposure of two highly conserved amino acids in switches I and II involved in GEF recognition. The average solvent exposure of these amino acids correlates in turn with the rate of GDP release, suggesting for them either direct or indirect roles in the process of nucleotide switch. Collectively, nucleotide binding changes the information flow through the conserved Ras-like domain, where GDP enhances the flexibility of mechanically distinct portions involved in nucleotide switch, and favors long distance allosteric communication (in Gα proteins, compared to GTP.

  14. A possible time-delayed brightening of the Sgr A* accretion flow after the pericenter passage of the G2 cloud

    Science.gov (United States)

    Kawashima, Tomohisa; Matsumoto, Yosuke; Matsumoto, Ryoji

    2017-06-01

    A possibility of time-delayed radio brightenings of Sgr A* triggered by the pericenter passage of the G2 cloud is studied by carrying out global three-dimensional magnetohydrodynamic simulations, taking into account the radiative cooling of the tidal debris of the G2 cloud. Magnetic fields in the accretion flow are strongly perturbed and reorganized after the passage of G2. We have found that the magnetic energy in the accretion flow increased by a factor of 3-4 in 5-10 yr after the passage of G2 through a dynamo mechanism driven by the magneto-rotational instability. Since this B-field amplification enhances the synchrotron emission from the disk and the outflow, the radio and the infrared luminosity of Sgr A* are expected to increase some time, around 2020. The time delay of the radio brightening enables us to determine the rotation axis of the preexisting disk.

  15. How does variability in input load relate to the probability of critically delayed delivery in a simple Multipart Re-entrant Flow-line problem?

    DEFF Research Database (Denmark)

    Nielsen, Erland Hejn

    2003-01-01

    of the estimation of the probability of critically delayed delivery beyond a specified threshold value given a certain production batch size and try to establish a relation to certain parameters that can be linked to the degree of regularity of the arrival stream of parts to the job/flow-shop. This last aspect...... relates remotely to the Lean Thinking philosophy that praises the smooth and uninterrupted production flow to be beneficial to the overall operation of productive plants in general, and we will link our findings to this discussion as well....

  16. Bowdoin NWR : Information on Beaver Creek flow 1936-1986

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document provides a timeline of Beaver Creek flows, near Bowdoin National Wildlife Refuge, from 1936 to 1986. Parts Bowdoin National Wildlife Refuge lie within...

  17. Information propagation and nutrient flow in Physarum polycephalum

    Science.gov (United States)

    Amselem, Gabriel; Peaudecerf, Francois; Alim, Karen; Dumais, Jacques; Pringle, Anne; Brenner, Michael

    2012-02-01

    Basal organisms such as slime mold and fungi grow as extended networks that can reach several square meters in size. Despite lacking a central coordination center, these organisms are able to globally reshape their morphology in response to local cues, such as the presence of a patch of nutrient. How are local signals integrated in these organisms, and how do they lead to an overall response? To answer this question, we focus on the flow of nutrients in the slime mold Physarum polycephalum. This slime mold exhibits internal flow oscillations, as well as periodic contractions of its veins. Using plastic masks, we constrain network growth to simple geometries. This allows for an experimental characterization of the relationship between the contractions and the flow. We next describe the change in the overall oscillation pattern when a food source is presented locally to the slime mold, and its implication on the internal flow. Internal flows are both inferred from the contraction pattern and experimentally measured using fluorescent markers.

  18. Delay Tolerant Networking with Data Triage Method based on Emergent User Policies for Disaster Information Network System

    Directory of Open Access Journals (Sweden)

    Noriki Uchida

    2014-01-01

    Full Text Available When Disaster Information Network System is considered in local areas that were heavy damaged by the East Japan Great Earthquake in 2011, the resiliency of the network system is one of significant subjects for the restoration of the areas. DTN (Delay Tolerant Network has been focused for the effective methods for such inoperable network circumstances. However, when DTN is applied for the local areas, there are some problems such as message delivery rate and latency because there are fewer roads, cars, and pedestrians than in urban areas. In this paper, we propose the Enhanced Media Coordinate System for its architecture, and Data Triage method by emergent user policies is introduced to improve the QoS in Disaster Information Network System in local areas. In the proposed method, every message is tagged with the priority levels by data types with considering emergent user policies, and the high priority messages are firstly duplicated to transmittable nodes. Then, the experimental results by the GIS map of a Japanese coastal town and the future studies are discussed.

  19. What information do Karman streets offer to flow sensing?

    Energy Technology Data Exchange (ETDEWEB)

    Akanyeti, Otar; Venturelli, Roberto; Visentin, Francesco; Fiorini, Paolo [Department of Computer Science, University of Verona, 37134 Verona (Italy); Chambers, Lily; Megill, William M, E-mail: otarakanyeti@yahoo.com [Department of Mechanical Engineering, University of Bath, Bath BA2 7AY (United Kingdom)

    2011-09-15

    In this work, we focus on biomimetic lateral line sensing in Karman vortex streets. After generating a Karman street in a controlled environment, we examine the hydrodynamic images obtained with digital particle image velocimetry (DPIV). On the grounds that positioning in the flow and interaction with the vortices govern bio-inspired underwater locomotion, we inspect the fluid in the swimming robot frame of reference. We spatially subsample the flow field obtained using DPIV to emulate the local flow around the body. In particular, we look at various sensor configurations in order to reliably identify the vortex shedding frequency, wake wavelength and downstream flow speed. Moreover, we propose methods that differentiate between being in and out of the Karman street with >70% accuracy, distinguish right from left with respect to Karman vortex street centreline (>80%) and highlight when the sensor system enters the vortex formation zone (>75%). Finally, we present a method that estimates the relative position of a sensor array with respect to the vortex formation point within 15% error margin.

  20. Quantum thermodynamic processes energy and information flow at the nanoscale

    CERN Document Server

    Mahler, Guenter

    2015-01-01

    The point of departure of this book is a triad of themes: information theory, thermodynamics, and quantum mechanics. These are related: thermodynamics and quantum mechanics form the basis of quantum thermodynamics; information and quantum mechanics underly, inter alia, the notorious quantum measurement problem; and information and thermodynamics have much to say about control limits in the tension between micro- and macro-descriptions.Why does the world around us typically look thermal-from cosmology down to individual embedded spins? Do informational measures constitute additional (independen

  1. How does variability in input load relate to the probability of critically delayed delivery in a simple Multipart Re-entrant Flow-line problem?

    DEFF Research Database (Denmark)

    Nielsen, Erland Hejn

    2003-01-01

    of the estimation of the probability of critically delayed delivery beyond a specified threshold value given a certain production batch size and try to establish a relation to certain parameters that can be linked to the degree of regularity of the arrival stream of parts to the job/flow-shop. This last aspect......In this paper we will discuss aspects of the computation of tail-probabilities by simulation in the context of a generic job/flow-shop model consisting of structural elements such as bottle-necks, re-entrance as well as a mixture of these two fundamental types of production complexity and all...... relates remotely to the Lean Thinking philosophy that praises the smooth and uninterrupted production flow to be beneficial to the overall operation of productive plants in general, and we will link our findings to this discussion as well....

  2. Complexity and information flow analysis for multi-threaded programs

    Science.gov (United States)

    Ngo, Tri Minh; Huisman, Marieke

    2017-01-01

    This paper studies the security of multi-threaded programs. We combine two methods, i.e., qualitative and quantitative security analysis, to check whether a multi-threaded program is secure or not. In this paper, besides reviewing classical analysis models, we present a novel model of quantitative analysis where the attacker is able to select the scheduling policy. This model does not follow the traditional information-theoretic channel setting. Our analysis first studies what extra information an attacker can get if he knows the scheduler's choices, and then integrates this information into the transition system modeling the program execution. Via a case study, we compare this approach with the traditional information-theoretic models, and show that this approach gives more intuitive-matching results.

  3. Complexity and information flow analysis for multi-threaded programs

    Science.gov (United States)

    Ngo, Tri Minh; Huisman, Marieke

    2017-07-01

    This paper studies the security of multi-threaded programs. We combine two methods, i.e., qualitative and quantitative security analysis, to check whether a multi-threaded program is secure or not. In this paper, besides reviewing classical analysis models, we present a novel model of quantitative analysis where the attacker is able to select the scheduling policy. This model does not follow the traditional information-theoretic channel setting. Our analysis first studies what extra information an attacker can get if he knows the scheduler's choices, and then integrates this information into the transition system modeling the program execution. Via a case study, we compare this approach with the traditional information-theoretic models, and show that this approach gives more intuitive-matching results.

  4. An information flow among industry sectors in the Korean stock market

    Science.gov (United States)

    Oh, Gabjin; Oh, Tamina; Kim, Hoyong; Kwon, Okyu

    2014-12-01

    We investigate the information flow among 22 industry sectors in the Korean stock market by using the symbolic transfer entropy (STE) method. We consider the daily index of 22 industry sectors in the Korean Composite Stock Price Index (KOSPI) from January 3, 2000 to March 30, 2012. We measure the degree of asymmetry in the information flow and the amount of information flow among the industry sectors before, during, and after the subprime crisis in order to analyze how to relate them to the market crisis. We find that the amount of information flow and the number of connectedness during the financial crisis in the Korean stock market are higher than those before and after the market crisis. In addition, we find the role of the insurance sector, which is related to risk management, increases as information source after the crisis.

  5. Trading and non-trading period Internet information flow and intraday return volatility

    Science.gov (United States)

    Shen, Dehua; Zhang, Wei; Xiong, Xiong; Li, Xiao; Zhang, Yongjie

    2016-06-01

    This paper employs the news appeared in Baidu News as the proxy for Internet information flow, separates them into trading period and non-trading period information and provides alternative evidence for the Mixture of Distribution Hypothesis (MDH). The empirical results show that the contemporary information can effectively reduce the volatility persistence; meanwhile, the lead information and the aggregate information also show some explanatory power. Some future directions are pointed out in the concluding remarks.

  6. Optic Flow Information Influencing Heading Perception during Rotation

    Directory of Open Access Journals (Sweden)

    Diederick C. Niehorster

    2011-05-01

    Full Text Available We investigated what roles global spatial frequency, surface structure, and foreground motion play in heading perception during simulated rotation from optic flow. The display (110°Hx94°V simulated walking on a straight path over a ground plane (depth range: 1.4–50 m at 2 m/s while fixating a target off to one side (mean R/T ratios: ±1, ±2, ±3 under six display conditions. Four displays consisted of nonexpanding dots that were distributed so as to manipulate the amount of foreground motion and the presence of surface structure. In one further display the ground was covered with disks that expanded during the trial and lastly a textured ground display was created with the same spatial frequency power spectrum as the disk ground. At the end of each 1s trial, observers indicated their perceived heading along a line at the display's center. Mean heading biases were smaller for the textured than for the disk ground, for the displays with more foreground motion and for the displays with surface structure defined by dot motion than without. We conclude that while spatial frequency content is not a crucial factor, dense motion parallax and surface structure in optic flow are important for accurate heading perception during rotation.

  7. Comparison of Simultaneous Prompting and Constant Time Delay Procedures in Teaching Children with Autism the Responses to Questions about Personal Information

    Science.gov (United States)

    Akmanoglu, Nurgul; Kurt, Onur; Kapan, Alper

    2015-01-01

    The aim of the current study was to compare simultaneous prompting (SP) and constant time delay (CTD) in terms of their effectiveness and efficiency in teaching children with autism how to respond to questions about personal information. The adapted alternating treatments model was used in the study. Three male students with autism aged 4, 6, and…

  8. Using Prediction Markets to Track Information Flows: Evidence from Google

    Science.gov (United States)

    Cowgill, Bo; Wolfers, Justin; Zitzewitz, Eric

    Since 2005, Google has conducted the largest corporate experiment with prediction markets we are aware of. In this paper, we illustrate how markets can be used to study how an organization processes information. We show that market participants are not typical of Google’s workforce, and that market participation and success is skewed towards Google’s engineering and quantitatively oriented employees.

  9. Flow of information in the spoken word recognition system

    NARCIS (Netherlands)

    McQueen, J.M.; Cutler, A.; Norris, D.

    2003-01-01

    Spoken word recognition consists of two major component processes. At the prelexical stage, information in the speech signal is used to generate an abstract description of the utterance which can then be used to access stored lexical knowledge. The lexical stage is characterized by multiple activati

  10. Knowledge Representation and Communication: Imparting Current State Information Flow to CPR Stakeholders

    OpenAIRE

    de la Cruz, Norberto B.; Spiece, Leslie J.

    2000-01-01

    Understanding and communicating the who, what, where, when, why, and how of the clinics and services for which the computerized patient record (CPR) will be built is an integral part of the implementation process. Formal methodologies have been developed to diagram information flow -- flow charts, state-transition diagram (STDs), data flow diagrams (DFDs). For documentation of the processes at our ambulatory CPR pilot site, flowcharting was selected as the preferred method based upon its vers...

  11. Software Information Base(SIB)and Its Integration with Data Flow Diagram(DFD)Tool

    Institute of Scientific and Technical Information of China (English)

    董士海

    1989-01-01

    Software in formation base is the main technique of the integration of software engineering environment.Data flow diagram tool is an important software tool to support software requirement analysis phase.This article introduces the functions,structures of a Software Information Base(SIB),and a Data Flow Diagram tool first.The E-R data model of SIB and its integration with Data Flow Diagram tool are emphatically described.

  12. Material and information flows pertaining to aluminum alloy pipe distribution

    Directory of Open Access Journals (Sweden)

    D. Simić

    2013-10-01

    Full Text Available This paper discusses the distribution flow of aluminum (Al alloy pipes, starting with the completion of the manufacturing process and final inspection. The proposed solution considers the use of bar-coded caps produced from recycled polymer materials that are placed on the ends of the tubes in order to achieve protection against potential changes in material properties and preserve the product quality. For the preparation of capped tube bundles for shipment from the manufacturer output storage to the customer input warehouse, a technical solution that enables correct and efficient Al alloy pipe handling is proposed, in terms of safety, security, reliability, financial feasibility and ecological viability, with optimal utilization of transport and storage.

  13. Normative regulation of cash flows as information provision of their accounting and control

    OpenAIRE

    TOMCHUK V.V.

    2012-01-01

    The importance of normative and legislative basis of accounting and control of cash flows is considered in the article «Normative regulation of cash flows as information provision of their accounting and control» written by Victor Vasyliyovych Tomchuk from the National Scientific Center «Institute of Agrarian Economics».

  14. Quantifying Information Flow between Two Chaotic Semiconductor Lasers Using Symbolic Transfer Entropy

    Institute of Scientific and Technical Information of China (English)

    LI Nian-Qiang; PAN Wei; YAN Lian-Shan; LUO Bin; XU Ming-Feng; TANG Yi-Long

    2012-01-01

    Symbolic transfer entropy (STE) is employed to quantify the dominant direction of information flow between two chaotic-semiconductor-laser time series.The information flow in unidirectionally and bidirectionally coupled systems was analyzed systematically.Numerical results show that the dependence relationship can be revealed if there exists any coupling between two chaotic semiconductor lasers.More importantly,in both unsynchronized and good synchronization regimes,the STE can be used to quantify the direction of information flow between the lasers,although the former case leads to a better identification.The results thus establish STE as an effective tool for quantifying the direction of information flow between chaotic-laser-based systems.

  15. Problems of Automation and Management Principles Information Flow in Manufacturing

    Science.gov (United States)

    Grigoryuk, E. N.; Bulkin, V. V.

    2017-07-01

    Automated control systems of technological processes are complex systems that are characterized by the presence of elements of the overall focus, the systemic nature of the implemented algorithms for the exchange and processing of information, as well as a large number of functional subsystems. The article gives examples of automatic control systems and automated control systems of technological processes held parallel between them by identifying strengths and weaknesses. Other proposed non-standard control system of technological process.

  16. Contraceptive security, information flow, and local adaptations: family planning Morocco.

    Science.gov (United States)

    Chandani, Y; Breton, G

    2001-12-01

    Many developing countries increasingly recognize and acknowledge family planning as a critical part of socio-economic development. However, with few health dollars to go around, countries tend to provide essential drugs for curative care, rather than for family planning products. Donors have historically provided free contraceptives for family planning services. Whether products are donated or purchased by the country, a successful family planning program depends on an uninterrupted supply of products, beginning with the manufacturer and ending with the customer. Any break in the supply chain may cause a family planning program to fail. A well-functioning logistics system can manage the supply chain and ensure that the customers have the products they need, when they need them. Morocco was selected for the case study. The researchers had ready access to key informants and information about the Logistics Management Information System. Because the study had time and resource constraints, research included desktop reviews and interview, rather than data collection in the field. The case study showed that even in a challenging environment an LMIS can be successfully deployed and fully supported by the users. It is critical to customize the system to a country-specific situation to ensure buy-in for the implementation. Significant external support funding and technical expertise are critical components to ensure the initial success of the system. Nonetheless, evidence from the case study shows that, after a system has been implemented, the benefits may not ensure its institutionalization. Other support, including local funding and technical expertise, is required.

  17. The effects of flow on schooling Devario aequipinnatus: school structure, startle response and information transmission.

    Science.gov (United States)

    Chicoli, A; Butail, S; Lun, Y; Bak-Coleman, J; Coombs, S; Paley, D A

    2014-05-01

    To assess how flow affects school structure and threat detection, startle response rates of solitary and small groups of giant danio Devario aequipinnatus to visual looming stimuli were compared in flow and no-flow conditions. The instantaneous position and heading of each D. aequipinnatus was extracted from high-speed videos. Behavioural results indicate that (1) school structure is altered in flow such that D. aequipinnatus orient upstream while spanning out in a crosswise direction, (2) the probability of at least one D. aequipinnatus detecting the visual looming stimulus is higher in flow than no flow for both solitary D. aequipinnatus and groups of eight D. aequipinnatus; however, (3) the probability of three or more individuals responding is higher in no flow than in flow. These results indicate a higher probability of stimulus detection in flow but a higher probability of internal transmission of information in no flow. Finally, results were well predicted by a computational model of collective fright response that included the probability of direct detection (based on signal detection theory) and indirect detection (i.e. via interactions between group members) of threatening stimuli. This model provides a new theoretical framework for analysing the collective transfer of information among groups of fishes and other organisms.

  18. Information Flow through a Model of the C. elegans Klinotaxis Circuit

    Science.gov (United States)

    Izquierdo, Eduardo J.; Williams, Paul L.; Beer, Randall D.

    2015-01-01

    Understanding how information about external stimuli is transformed into behavior is one of the central goals of neuroscience. Here we characterize the information flow through a complete sensorimotor circuit: from stimulus, to sensory neurons, to interneurons, to motor neurons, to muscles, to motion. Specifically, we apply a recently developed framework for quantifying information flow to a previously published ensemble of models of salt klinotaxis in the nematode worm Caenorhabditis elegans. Despite large variations in the neural parameters of individual circuits, we found that the overall information flow architecture circuit is remarkably consistent across the ensemble. This suggests structural connectivity is not necessarily predictive of effective connectivity. It also suggests information flow analysis captures general principles of operation for the klinotaxis circuit. In addition, information flow analysis reveals several key principles underlying how the models operate: (1) Interneuron class AIY is responsible for integrating information about positive and negative changes in concentration, and exhibits a strong left/right information asymmetry. (2) Gap junctions play a crucial role in the transfer of information responsible for the information symmetry observed in interneuron class AIZ. (3) Neck motor neuron class SMB implements an information gating mechanism that underlies the circuit’s state-dependent response. (4) The neck carries more information about small changes in concentration than about large ones, and more information about positive changes in concentration than about negative ones. Thus, not all directions of movement are equally informative for the worm. Each of these findings corresponds to hypotheses that could potentially be tested in the worm. Knowing the results of these experiments would greatly refine our understanding of the neural circuit underlying klinotaxis. PMID:26465883

  19. Information Flow through a Model of the C. elegans Klinotaxis Circuit.

    Directory of Open Access Journals (Sweden)

    Eduardo J Izquierdo

    Full Text Available Understanding how information about external stimuli is transformed into behavior is one of the central goals of neuroscience. Here we characterize the information flow through a complete sensorimotor circuit: from stimulus, to sensory neurons, to interneurons, to motor neurons, to muscles, to motion. Specifically, we apply a recently developed framework for quantifying information flow to a previously published ensemble of models of salt klinotaxis in the nematode worm Caenorhabditis elegans. Despite large variations in the neural parameters of individual circuits, we found that the overall information flow architecture circuit is remarkably consistent across the ensemble. This suggests structural connectivity is not necessarily predictive of effective connectivity. It also suggests information flow analysis captures general principles of operation for the klinotaxis circuit. In addition, information flow analysis reveals several key principles underlying how the models operate: (1 Interneuron class AIY is responsible for integrating information about positive and negative changes in concentration, and exhibits a strong left/right information asymmetry. (2 Gap junctions play a crucial role in the transfer of information responsible for the information symmetry observed in interneuron class AIZ. (3 Neck motor neuron class SMB implements an information gating mechanism that underlies the circuit's state-dependent response. (4 The neck carries more information about small changes in concentration than about large ones, and more information about positive changes in concentration than about negative ones. Thus, not all directions of movement are equally informative for the worm. Each of these findings corresponds to hypotheses that could potentially be tested in the worm. Knowing the results of these experiments would greatly refine our understanding of the neural circuit underlying klinotaxis.

  20. VOLUNTARY DISCLOSURE OF CASH FLOWS INFORMATION AND COMPANY'S CHARACTERISTICS: EVIDENCE FROM THE CROATIAN CAPITAL MARKET

    Directory of Open Access Journals (Sweden)

    Željana Aljinović Barać

    2012-12-01

    Full Text Available This paper focuses on the voluntary disclosure of cash flows information of Croatian large companies whose shares are listed on the Zagreb Stock Exchange, with the aim to identify characteristics of companies that provide extensive disclosures. In order to conduct the research and test the likelihood that company publicly announces wealth of information about cash flows, three groups of company’s features are defined as variables: accounting data, capital market information and company’s qualitative characteristics. Verification of empirical evidence was provided through the sample of Croatian listed companies using logistic regression analysis. Obtained results indicate that despite the desire of the regulatory authorities that capital market investors receive all relevant information, companies voluntarily disclose information about cash flows very rarely. Those companies are young (i.e. their shares are listed on an organized securities market for a short time and profitable, with growing net income and growing cash flow from operating activities and usually use indirect method for operating cash flow report. The provision of features of Croatian companies that voluntary disclose cash flow information can be found as contribution of our research, because this topic in a cases of macro-oriented accounting system economies, i.e. bank oriented economies with emerging capital market is still unexplored.

  1. Information flow in a network model and the law of diminishing marginal returns

    CERN Document Server

    Marinazzo, Daniele; Wu, Guorong; Angelini, Leonardo; Stramaglia, Sebastiano

    2012-01-01

    We analyze a simple dynamical network model which describes the limited capacity of nodes to process the input information. For a suitable choice of the parameters, the information flow pattern is characterized by exponential distribution of the incoming information and a fat-tailed distribution of the outgoing information, as a signature of the law of diminishing marginal returns. The analysis of a real EEG data-set shows that similar phenomena may be relevant for brain signals.

  2. Information flows and social externalities in a Tanzanian banana growing village.

    Science.gov (United States)

    Van den Broeck, Katleen; Dercon, Stefan

    2011-01-01

    This article analyses the role of social networks as facilitators of information flows and banana output increase. Based on a village census, full information is available on the socio-economic characteristics and banana production of farmers' kinship group members, neighbours and informal insurance group members. The census data enable us to use individual specific reference groups and include exogenous group controls to tackle standard difficulties related to identification and omitted variables bias when analysing social effects. For the survey village of Nyakatoke in Tanzania the results suggest that information flows exist within all types of groups analysed but output externalities are limited to kinship groups. Using networks may offer scope for effective information flows on agricultural techniques, but our evidence suggests that not just any local network will have a social externality impact, requiring a clear understanding of local social networks for maximum impact.

  3. Overcoming Information Limitations for the Prescription of an Environmental Flow Regime for a Central American River

    Directory of Open Access Journals (Sweden)

    Peter C. Esselman

    2010-03-01

    Full Text Available Hydropower dam construction is expanding rapidly in Central America because of the increasing demand for electricity. Although hydropower can provide a low-carbon source of energy, dams can also degrade socially valued riverine and riparian ecosystems and the services they provide. Such degradation can be partially mitigated by the release of environmental flows below dams. However, environmental flows have been applied infrequently to dams in Central America, partly because of the lack of information on the ecological, social, and economic aspects of rivers. This paper presents a case study of how resource and information limitations were addressed in the development of environmental flow recommendations for the Patuca River in Honduras below a proposed hydroelectric dam. To develop flow recommendations, we applied a multistep process that included hydrological analysis and modeling, the collection of traditional ecological knowledge (TEK during field trips, expert consultation, and environmental flow workshops for scientists, water managers, and community members. The final environmental flow recommendation specifies flow ranges for different components of river hydrology, including low flows for each month, high-flow pulses, and floods, in dry, normal, and wet years. The TEK collected from local and indigenous riverine communities was particularly important for forming hypotheses about flow-dependent ecological and social factors that may be vulnerable to disruption from dam-modified river flows. We show that our recommended environmental flows would have a minimal impact on the dam's potential to generate electricity. In light of rapid hydropower development in Central America, we suggest that environmental flows are important at the local scale, but that an integrated landscape perspective is ultimately needed to pursue hydropower development in a manner that is as ecologically sustainable as possible.

  4. Measuring information flow in cellular networks by the systems biology method through microarray data.

    Science.gov (United States)

    Chen, Bor-Sen; Li, Cheng-Wei

    2015-01-01

    In general, it is very difficult to measure the information flow in a cellular network directly. In this study, based on an information flow model and microarray data, we measured the information flow in cellular networks indirectly by using a systems biology method. First, we used a recursive least square parameter estimation algorithm to identify the system parameters of coupling signal transduction pathways and the cellular gene regulatory network (GRN). Then, based on the identified parameters and systems theory, we estimated the signal transductivities of the coupling signal transduction pathways from the extracellular signals to each downstream protein and the information transductivities of the GRN between transcription factors in response to environmental events. According to the proposed method, the information flow, which is characterized by signal transductivity in coupling signaling pathways and information transductivity in the GRN, can be estimated by microarray temporal data or microarray sample data. It can also be estimated by other high-throughput data such as next-generation sequencing or proteomic data. Finally, the information flows of the signal transduction pathways and the GRN in leukemia cancer cells and non-leukemia normal cells were also measured to analyze the systematic dysfunction in this cancer from microarray sample data. The results show that the signal transductivities of signal transduction pathways change substantially from normal cells to leukemia cancer cells.

  5. Multiple Access Network Information-flow And Correction codes

    CERN Document Server

    Yao, Hongyi; Jaggi, Sidharth; Ho, Tracey

    2010-01-01

    The network communication scenario where one or more receivers request all the information transmitted by different sources is considered. We introduce distributed polynomial-time network codes in the presence of malicious nodes. Our codes can achieve any point inside the rate region of multiple-source multicast transmission scenarios both in the cases of coherent and non-coherent network coding. For both cases the encoding and decoding algorithm runs in poly(|E|)exp(s) time, where poly(|E|) is a polynomial function of the number of edges |E| in the network and exp(s) is an exponential function of the number of sources s. Our codes are fully distributed and different sources require no knowledge of the data transmitted by their peers. Our codes are "end-to-end", that is, all nodes apart from the sources and the receivers are oblivious to the adversaries present in the network and simply implement random linear network coding.

  6. Information flow through threespine stickleback networks without social transmission

    Science.gov (United States)

    Atton, N.; Hoppitt, W.; Webster, M. M.; Galef, B. G.; Laland, K. N.

    2012-01-01

    Social networks can result in directed social transmission of learned information, thus influencing how innovations spread through populations. Here we presented shoals of threespine sticklebacks (Gasterosteous aculeatus) with two identical foraging tasks and applied network-based diffusion analysis (NBDA) to determine whether the order in which individuals in a social group contacted and solved the tasks was affected by the group's network structure. We found strong evidence for a social effect on discovery of the foraging tasks with individuals tending to discover a task sooner when others in their group had previously done so, and with the spread of discovery of the foraging tasks influenced by groups' social networks. However, the same patterns of association did not reliably predict spread of solution to the tasks, suggesting that social interactions affected the time at which the tasks were discovered, but not the latency to its solution following discovery. The present analysis, one of the first applications of NBDA to a natural animal system, illustrates how NBDA can lead to insight into the mechanisms supporting behaviour acquisition that more conventional statistical approaches might miss. Importantly, we provide the first compelling evidence that the spread of novel behaviours can result from social learning in the absence of social transmission, a phenomenon that we refer to as an untransmitted social effect on learning. PMID:22896644

  7. Multiple-access Network Information-flow and Correction Codes

    CERN Document Server

    Dikaliotis, Theodoros K; Jaggi, Sidharth; Vyetrenko, Svitlana; Yao, Hongyi; Effros, Michelle; Kliewer, Joerg; Erez, Elona

    2010-01-01

    This work considers the multiple-access multicast error-correction scenario over a packetized network with $z$ malicious edge adversaries. The network has min-cut $m$ and packets of length $\\ell$, and each sink demands all information from the set of sources $\\sources$. The capacity region is characterized for both a "side-channel" model (where sources and sinks share some random bits that are secret from the adversary) and an "omniscient" adversarial model (where no limitations on the adversary's knowledge are assumed). In the "side-channel" adversarial model, the use of a secret channel allows higher rates to be achieved compared to the "omniscient" adversarial model, and a polynomial-complexity capacity-achieving code is provided. For the "omniscient" adversarial model, two capacity-achieving constructions are given: the first is based on random subspace code design and has complexity exponential in $\\ell m$, while the second uses a novel multiple-field-extension technique and has $O(\\ell m^{|\\sources|})$ ...

  8. Information flow through threespine stickleback networks without social transmission.

    Science.gov (United States)

    Atton, N; Hoppitt, W; Webster, M M; Galef, B G; Laland, K N

    2012-10-22

    Social networks can result in directed social transmission of learned information, thus influencing how innovations spread through populations. Here we presented shoals of threespine sticklebacks (Gasterosteous aculeatus) with two identical foraging tasks and applied network-based diffusion analysis (NBDA) to determine whether the order in which individuals in a social group contacted and solved the tasks was affected by the group's network structure. We found strong evidence for a social effect on discovery of the foraging tasks with individuals tending to discover a task sooner when others in their group had previously done so, and with the spread of discovery of the foraging tasks influenced by groups' social networks. However, the same patterns of association did not reliably predict spread of solution to the tasks, suggesting that social interactions affected the time at which the tasks were discovered, but not the latency to its solution following discovery. The present analysis, one of the first applications of NBDA to a natural animal system, illustrates how NBDA can lead to insight into the mechanisms supporting behaviour acquisition that more conventional statistical approaches might miss. Importantly, we provide the first compelling evidence that the spread of novel behaviours can result from social learning in the absence of social transmission, a phenomenon that we refer to as an untransmitted social effect on learning.

  9. DEVELOPING AND PROPOSING A CONCEPTUAL MODEL OF THE FLOW EXPERIENCE DURING ONLINE INFORMATION SEARCH

    Directory of Open Access Journals (Sweden)

    Lazoc Alina

    2012-07-01

    Full Text Available Information search is an essential part of the consumer`s decision making process. The online medium offers new opportunities and challenges for information search activities (in and outside the marketing context. We are interested in the way human information experiences and behaviors are affected by this. Very often online games and social web activities are perceived as challenging, engaging and enjoyable, while online information search is far below this evaluation. Our research proposal implies that using the online medium for information search may provoke enjoyable experiences through the flow state, which may in turn positively influence an individual`s exploratory information behavior and encourage his/her pro-active market behavior. The present study sets out to improve the understanding of the online medium`s impact on human`s exploratory behavior. We hypothesize that the inclusion of the online flow experience in our research model will better explain exploratory information search behaviors. A 11-component conceptual framework is proposed to explain the manifestations of flow, its personal and technological determinants and its behavioral consequence in the context of online information search. Our research has the primary purpose to present an integrated online flow model. Its secondary objective is to stimulate extended research in the area of informational behaviors in the digital age. The paper is organized in three sections. In the first section we briefly report the analysis results of the most relevant online flow theory literature and, drawing on it, we are trying to identify variables and relationships among these. In the second part we propose a research model and use prior flow models to specify a range of testable hypothesis. Drawing on the conceptual model developed, the last section of our study presents the final conclusions and proposes further steps in evaluating the model`s validity. Future research directions

  10. 75 FR 70714 - Global Free Flow of Information on the Internet

    Science.gov (United States)

    2010-11-18

    ... the Internet AGENCY: National Telecommunications and Information Administration, U.S. Department of... Internet Policy Task Force announces that the closing deadline for submission of comments responsive to the September 29, 2010 notice of inquiry on the global free flow of information on the Internet has...

  11. A Reduced-Order Controller Considering High-Order Modal Information of High-Rise Buildings for AMD Control System with Time-Delay

    Directory of Open Access Journals (Sweden)

    Zuo-Hua Li

    2017-01-01

    Full Text Available Time-delays of control force calculation, data acquisition, and actuator response will degrade the performance of Active Mass Damper (AMD control systems. To reduce the influence, model reduction method is used to deal with the original controlled structure. However, during the procedure, the related hierarchy information of small eigenvalues will be directly discorded. As a result, the reduced-order model ignores the information of high-order mode, which will reduce the design accuracy of an AMD control system. In this paper, a new reduced-order controller based on the improved Balanced Truncation (BT method is designed to reduce the calculation time and to retain the abandoned high-order modal information. It includes high-order natural frequency, damping ratio, and vibration modal information of the original structure. Then, a control gain design method based on Guaranteed Cost Control (GCC algorithm is presented to eliminate the adverse effects of data acquisition and actuator response time-delays in the design process of the reduced-order controller. To verify its effectiveness, the proposed methodology is applied to a numerical example of a ten-storey frame and an experiment of a single-span four-storey steel frame. Both numerical and experimental results demonstrate that the reduced-order controller with GCC algorithm has an excellent control effect; meanwhile it can compensate time-delays effectively.

  12. An investigation of multitasking information behavior and the influence of working memory and flow

    Science.gov (United States)

    Alexopoulou, Peggy; Hepworth, Mark; Morris, Anne

    2015-02-01

    This study explored the multitasking information behaviour of Web users and how this is influenced by working memory, flow and Personal, Artefact and Task characteristics, as described in the PAT model. The research was exploratory using a pragmatic, mixed method approach. Thirty University students participated; 10 psychologists, 10 accountants and 10 mechanical engineers. The data collection tools used were: pre and post questionnaires, a working memory test, a flow state scale test, audio-visual data, web search logs, think aloud data, observation, and the critical decision method. All participants searched information on the Web for four topics: two for which they had prior knowledge and two more without prior knowledge. Perception of task complexity was found to be related to working memory. People with low working memory reported a significant increase in task complexity after they had completed information searching tasks for which they had no prior knowledge, this was not the case for tasks with prior knowledge. Regarding flow and task complexity, the results confirmed the suggestion of the PAT model (Finneran and Zhang, 2003), which proposed that a complex task can lead to anxiety and low flow levels as well as to perceived challenge and high flow levels. However, the results did not confirm the suggestion of the PAT model regarding the characteristics of web search systems and especially perceived vividness. All participants experienced high vividness. According to the PAT model, however, only people with high flow should experience high levels of vividness. Flow affected the degree of change of knowledge of the participants. People with high flow gained more knowledge for tasks without prior knowledge rather than people with low flow. Furthermore, accountants felt that tasks without prior knowledge were less complex at the end of the web seeking procedure than psychologists and mechanical engineers. Finally, the three disciplines appeared to differ

  13. Financial Crisis Now Striking Home for School Districts: Project Delays, Worries About Cash Flow Result of Tight Credit Markets

    Science.gov (United States)

    Davis, Michelle R.

    2008-01-01

    This article reports that the crisis besetting U.S. and world financial markets is hitting school districts hard, as they struggle to float the bonds needed for capital projects, borrow money to ensure cash flow, and get access to investment funds locked up in troubled institutions. Some schools districts depend heavily on borrowed money to pay…

  14. Financial Crisis Now Striking Home for School Districts: Project Delays, Worries About Cash Flow Result of Tight Credit Markets

    Science.gov (United States)

    Davis, Michelle R.

    2008-01-01

    This article reports that the crisis besetting U.S. and world financial markets is hitting school districts hard, as they struggle to float the bonds needed for capital projects, borrow money to ensure cash flow, and get access to investment funds locked up in troubled institutions. Some schools districts depend heavily on borrowed money to pay…

  15. Event-Triggered Control for Multiagent Systems with the Problem of Packet Losses and Communication Delays When Using the Second-Order Neighbors’ Information

    Directory of Open Access Journals (Sweden)

    Chuan Yan

    2014-01-01

    Full Text Available This paper mainly investigates the event-triggered control for discrete-time multiagent systems with the problem of packet losses and communication delays when both the first-order and the second-order neighbors’ information are used. Event-triggered control laws are adopted so as to reduce the frequency of individual actuation updating under the sampled-data framework for discrete-time agent dynamics. The communication graph is undirected and the loss of data across each communication link occurs at certain probability, which is governed by a Bernoulli process. It is found that the distributed consensus speeds up by using the second-order neighbors’ information when packet losses and communication delays occur. Numerical examples are given to demonstrate the effectiveness of the proposed methods.

  16. A Neuroeconomics Analysis of Investment Process with Money Flow Information: The Error-Related Negativity

    Directory of Open Access Journals (Sweden)

    Cuicui Wang

    2015-01-01

    Full Text Available This investigation is among the first ones to analyze the neural basis of an investment process with money flow information of financial market, using a simplified task where volunteers had to choose to buy or not to buy stocks based on the display of positive or negative money flow information. After choosing “to buy” or “not to buy,” participants were presented with feedback. At the same time, event-related potentials (ERPs were used to record investor’s brain activity and capture the event-related negativity (ERN and feedback-related negativity (FRN components. The results of ERN suggested that there might be a higher risk and more conflict when buying stocks with negative net money flow information than positive net money flow information, and the inverse was also true for the “not to buy” stocks option. The FRN component evoked by the bad outcome of a decision was more negative than that by the good outcome, which reflected the difference between the values of the actual and expected outcome. From the research, we could further understand how investors perceived money flow information of financial market and the neural cognitive effect in investment process.

  17. A Neuroeconomics Analysis of Investment Process with Money Flow Information: The Error-Related Negativity.

    Science.gov (United States)

    Wang, Cuicui; Vieito, João Paulo; Ma, Qingguo

    2015-01-01

    This investigation is among the first ones to analyze the neural basis of an investment process with money flow information of financial market, using a simplified task where volunteers had to choose to buy or not to buy stocks based on the display of positive or negative money flow information. After choosing "to buy" or "not to buy," participants were presented with feedback. At the same time, event-related potentials (ERPs) were used to record investor's brain activity and capture the event-related negativity (ERN) and feedback-related negativity (FRN) components. The results of ERN suggested that there might be a higher risk and more conflict when buying stocks with negative net money flow information than positive net money flow information, and the inverse was also true for the "not to buy" stocks option. The FRN component evoked by the bad outcome of a decision was more negative than that by the good outcome, which reflected the difference between the values of the actual and expected outcome. From the research, we could further understand how investors perceived money flow information of financial market and the neural cognitive effect in investment process.

  18. Implementation of uniform information on fetal movement in a Norwegian population reduced delayed reporting of decreased fetal movement and stillbirths in primiparous women - a clinical quality improvement

    Directory of Open Access Journals (Sweden)

    Stray-Pedersen Babill

    2010-01-01

    Full Text Available Abstract Background Delayed maternal reporting of decreased fetal movement (DFM is associated with adverse pregnancy outcomes. Inconsistent information on fetal activity to women during the antenatal period may result in delayed reporting of DFM. We aimed to evaluate an intervention of implementation of uniform information on fetal activity to women during the antenatal period. Methods In a prospective before-and-after study, singleton women presenting DFM in the third trimester across 14 hospitals in Norway were registered. Outcome measures were maternal behavior regarding reporting of DFM, concerns and stillbirth. In addition, cross-sectional studies of all women giving birth were undertaken to assess maternal concerns about fetal activity, and population-based data were obtained from the Medical Birth Registry Norway. Results Pre- and post-intervention cohorts included 19 407 and 46 143 births with 1 215 and 3 038 women with DFM respectively. Among primiparous women with DFM, a reduction in delayed reporting of DFM (≥48 hrs OR 0.61 (95% CI 0.47-0.81 and stillbirths OR 0.36 (95% CI 0.19-0.69 was shown in the post-intervention period. No difference was shown in rates of consultations for DFM or maternal concerns. Stillbirth rates and maternal behavior among women who were of non-Western origin, smokers, overweight or >34 years old were unchanged. Conclusions Uniform information on fetal activity provided to pregnant women was associated with a reduction in the number of primiparous women who delayed reporting of DFM and a reduction of the stillbirth rates for primiparous women reporting DFM. The information did not appear to increase maternal concerns or rate of consultation. Due to different imperfections in different clinical settings, further studies in other populations replicating these findings are required.

  19. Coexistence of full which-path information and interference in Wheeler's delayed-choice experiment with photons

    NARCIS (Netherlands)

    Michielsen, K.; Yuan, S.; Zhao, S.; Jin, F.; De Raedt, H.

    2010-01-01

    We present a computer simulation model that is a one-to-one copy of an experimental realization of Wheeler's delayed-choice experiment that employs a single photon source and a Mach-Zehnder interferometer composed of a 50/50 input beam splitter and a variable output beam splitter with adjustable ref

  20. The rise and fall of immediate and delayed memory for verbal and visuospatial information from late childhood to late adulthood

    NARCIS (Netherlands)

    Murre, J.M.J.; Janssen, S.M.J.; Rouw, R.; Meeter, M.

    2013-01-01

    Over 100,000 verbal and visuospatial immediate and delayed memory tests were presented via the Internet to over 28,000 participants in the age range of 11 to 80. Structural equation modeling pointed to the verbal versus visuospatial dimension as an important factor in individual differences, but not

  1. Coexistence of full which-path information and interference in Wheeler's delayed-choice experiment with photons

    NARCIS (Netherlands)

    Michielsen, K.; Yuan, S.; Zhao, S.; Jin, F.; De Raedt, H.

    We present a computer simulation model that is a one-to-one copy of an experimental realization of Wheeler's delayed-choice experiment that employs a single photon source and a Mach-Zehnder interferometer composed of a 50/50 input beam splitter and a variable output beam splitter with adjustable

  2. [Intercommunication and information flow. An explorative study about ward rounds and patients' documentation].

    Science.gov (United States)

    Maier, Uwe; Fotuhi, Parwis; Seele, Anja; Nikolic, Djordje

    2008-07-01

    In modern patient interprofessional communication is an impor tant factor of good outcome. The aim of this study was to analyse the intercommunication during ward rounds and information passed by patients' documentation on an internal and geriatric medicine ward. Beside frequent interruptions the ward rounds showed a restricted flow of information that is based and targeted on the chief physician Nursing staff felt excluded from the informational flow. Regarding patients' documentation staff complained about lack of information and illegible notes. Availability of written information was found to be problematic. A team-orientated approach could help to improve interprofessional communication in the future. Besides the importance of carefully performed documentation as a reliable form of communication, communicative contribution of the nursing staff has to be upvalued.

  3. Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory Information.

    Science.gov (United States)

    Kim, Seokyeon; Jeong, Seongmin; Woo, Insoo; Jang, Yun; Maciejewski, Ross; Ebert, David

    2017-02-08

    Geographic visualization research has focused on a variety of techniques to represent and explore spatiotemporal data. The goal of those techniques is to enable users to explore events and interactions over space and time in order to facilitate the discovery of patterns, anomalies and relationships within the data. However, it is difficult to extract and visualize data flow patterns over time for non-directional statistical data without trajectory information. In this work, we develop a novel flow analysis technique to extract, represent, and analyze flow maps of non-directional spatiotemporal data unaccompanied by trajectory information. We estimate a continuous distribution of these events over space and time, and extract flow fields for spatial and temporal changes utilizing a gravity model. Then, we visualize the spatiotemporal patterns in the data by employing flow visualization techniques. The user is presented with temporal trends of geo-referenced discrete events on a map. As such, overall spatiotemporal data flow patterns help users analyze geo-referenced temporal events, such as disease outbreaks, crime patterns, etc. To validate our model, we discard the trajectory information in an origin-destination dataset and apply our technique to the data and compare the derived trajectories and the original. Finally, we present spatiotemporal trend analysis for statistical datasets including twitter data, maritime search and rescue events, and syndromic surveillance.

  4. Extracting directed information flow networks: an application to genetics and semantics

    CERN Document Server

    Masucci, A P; Hernández-García, E; Kalampokis, A

    2010-01-01

    We introduce a general method to infer the directional information flow between populations whose elements are described by n-dimensional vectors of symbolic attributes. The method is based on the Jensen-Shannon divergence and on the Shannon entropy and has a wide range of application. We show here the results of two applications: first extracting the network of genetic flow between the meadows of the seagrass Poseidonia Oceanica, where the meadow elements are specified by sets of microsatellite markers, then we extract the semantic flow network from a set of Wikipedia pages, showing the semantic channels between different areas of knowledge.

  5. Transfer entropy coefficient: Quantifying level of information flow between financial time series

    Science.gov (United States)

    Teng, Yue; Shang, Pengjian

    2017-03-01

    In this paper, a new coefficient is proposed with the objective of quantifying the level of information flow between financial time series. This transfer entropy coefficient, which provides an assessment on the multiscale information flow between measurements, is defined in terms of the transfer entropy method and the multiscale method. The implementation of this transfer entropy coefficient is illustrated with simulated time series and financial time series. Examples taken from simulated and financial data demonstrate that the dynamic mechanism of a complex system cannot be detected solely on the basis of transfer entropy of single scale.

  6. Reducing communication delays and improving quality of care with a tuberculosis laboratory information system in resource poor environments: a cluster randomized controlled trial.

    Directory of Open Access Journals (Sweden)

    Joaquín A Blaya

    Full Text Available Lost, delayed or incorrect laboratory results are associated with delays in initiating treatment. Delays in treatment for Multi-Drug Resistant Tuberculosis (MDR-TB can worsen patient outcomes and increase transmission. The objective of this study was to evaluate the impact of a laboratory information system in reducing delays and the time for MDR-TB patients to culture convert (stop transmitting.78 primary Health Centers (HCs in Lima, Peru. Participants lived within the catchment area of participating HCs and had at least one MDR-TB risk factor. The study design was a cluster randomized controlled trial with baseline data. The intervention was the e-Chasqui web-based laboratory information system. Main outcome measures were: times to communicate a result; to start or change a patient's treatment; and for that patient to culture convert.1671 patients were enrolled. Intervention HCs took significantly less time to receive drug susceptibility test (DST (median 11 vs. 17 days, Hazard Ratio 0.67 [0.62-0.72] and culture (5 vs. 8 days, 0.68 [0.65-0.72] results. The time to treatment was not significantly different, but patients in intervention HCs took 16 days (20% less time to culture convert (p = 0.047.The eChasqui system reduced the time to communicate results between laboratories and HCs and time to culture conversion. It is now used in over 259 HCs covering 4.1 million people. This is the first randomized controlled trial of a laboratory information system in a developing country for any disease and the only study worldwide to show clinical impact of such a system.ClinicalTrials.gov NCT01201941.

  7. Complex approach to the organization of external information flows of tourism enterprise

    Directory of Open Access Journals (Sweden)

    E.N. Ivanova

    2015-12-01

    Full Text Available The aim of the article. The aim of the article is to provide the basis of the complex approach to the organization of external information flows at tourism enterprises in order to improve the management of these information flows. The results of the analysis. The complex approach of improvement of the information flows management at tourism enterprises basing on the complex of information signals and organization of feedback between consumers and tourism enterprises is proposed. Application of the theory of market signals (signaling for implementation of the complex approach is substantiated by the fact that an enterprise should generate and extend external outgoing information flows that would contribute to the provision of additional opportunities for the increase tourism products and services output, establishment of partnership and customers attraction. Informational signals as external information flows and activation of informational signaling ensure the informational connection between customers and tourism enterprises in order to stimulate the demand on the services of tourism enterprises and accordingly, their stable competitive position in the market; consideration and formation of demand, as the customers, which are maximum informed on the opportunities of tourism enterprises and the components of an tourism product, may describe their needs in the most accurate way. However, the usage of particular informational signals does not give such opportunities to a tourism enterprise. The necessity to use the complex of informational signals by tourism enterprises was demonstrated through the game theory. If a tourism enterprise does not perform informational signaling, then the sales of tourism products become complicated. The probability of attraction of loyal customers (in accordance to the given goal is not significant, as the choice of a tourism enterprise by a customer has a random character. Therefore, a customer attends another

  8. The rise and fall of immediate and delayed memory for verbal and visuospatial information from late childhood to late adulthood.

    Science.gov (United States)

    Murre, Jaap M J; Janssen, Steve M J; Rouw, Romke; Meeter, Martijn

    2013-01-01

    Over 100,000 verbal and visuospatial immediate and delayed memory tests were presented via the Internet to over 28,000 participants in the age range of 11 to 80. Structural equation modeling pointed to the verbal versus visuospatial dimension as an important factor in individual differences, but not the immediate versus delayed dimension. We found a linear decrease of 1% to 3% per year in overall memory performance past the age of 25. For visuospatial tests, this decrease started at age 18 and was twice as fast as the decrease of verbal memory. There were strong effects of education, with the highest educated group sometimes scoring one full standard deviation above the lowest educated group. Gender effects were small but as expected: women outperformed men on the verbal memory tasks; men outperformed women on the visuospatial tasks. We also found evidence of increasing proneness to false memory with age. Memory for recent news events did not show a decrease with age.

  9. Mapping the flow of information within the putative mirror neuron system during gesture observation.

    Science.gov (United States)

    Schippers, Marleen B; Keysers, Christian

    2011-07-01

    The putative mirror neuron system may either function as a strict feed-forward system or as a dynamic control system. A strict feed-forward system would predict that action observation leads to a predominantly temporal→parietal→premotor flow of information in which a visual representation is transformed into motor-programs which contribute to action understanding. Instead, a dynamic feedback control system would predict that the reverse direction of information flow predominates because of a combination of inhibitory forward and excitatory inverse models. Here we test which of these conflicting predictions best matches the information flow within the putative mirror neuron system (pMNS) and between the pMNS and the rest of the brain during the observation of comparatively long naturalistic stretches of communicative gestures. We used Granger causality to test the dominant direction of influence. Our results fit the predictions of the dynamic feedback control system: we found predominantly an information flow within the pMNS from premotor to parietal and middle temporal cortices. This is more pronounced during an active guessing task than while passively reviewing the same gestures. In particular, the ventral premotor cortex sends significantly more information to other pMNS areas than it receives during active guessing than during passive observation.

  10. Information Flow Scheduling in Concurrent Multi-Product Development Based on DSM

    Science.gov (United States)

    Sun, Qing-Chao; Huang, Wei-Qiang; Jiang, Ying-Jie; Sun, Wei

    2017-09-01

    Multi-product collaborative development is adopted widely in manufacturing enterprise, while the present multi-project planning models don't take technical/data interactions of multiple products into account. To decrease the influence of technical/data interactions on project progresses, the information flow scheduling models based on the extended DSM is presented. Firstly, information dependencies are divided into four types: series, parallel, coupling and similar. Secondly, different types of dependencies are expressed as DSM units, and the extended DSM model is brought forward, described as a block matrix. Furthermore, the information flow scheduling methods is proposed, which involves four types of operations, where partitioning and clustering algorithm are modified from DSM for ensuring progress of high-priority project, merging and converting is the specific computation of the extended DSM. Finally, the information flow scheduling of two machine tools development is analyzed with example, and different project priorities correspond to different task sequences and total coordination cost. The proposed methodology provides a detailed instruction for information flow scheduling in multi-product development, with specially concerning technical/data interactions.

  11. Time-resolved X-ray PIV measurements of hemodynamic information of real pulsatile blood flows

    Science.gov (United States)

    Park, Hanwook; Yeom, Eunseop; Lee, Sang Joon

    2015-11-01

    X-ray imaging technique has been used to visualize various bio-fluid flow phenomena as a nondestructive manner. To obtain hemodynamic information related with circulatory vascular diseases, a time-resolved X-ray PIV technique with high temporal resolution was developed. In this study, to embody actual pulsatile blood flows in a circular conduit without changes in hemorheological properties, a bypass loop is established by connecting a microtube between the jugular vein and femoral artery of a rat. Biocompatible CO2 microbubbles are used as tracer particles. After mixing with whole blood, CO2 microbubbles are injected into the bypass loop. Particle images of the pulsatile blood flows in the bypass loop are consecutively captured by the time-resolved X-ray PIV system. The velocity field information are obtained with varying flow rate and pulsataility. To verify the feasibility of the use of CO2 microbubbles under in vivo conditions, the effects of the surrounding-tissues are also investigated, because these effects are crucial for deteriorating the image contrast of CO2 microbubbles. Therefore, the velocity information of blood flows in the abdominal aorta are obtained to demonstrate the visibility and usefulness of CO2 microbubbles under ex vivo conditions. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2008-0061991).

  12. Proof-Carrying Code Based Tool for Secure Information Flow of Assembly Programs

    Directory of Open Access Journals (Sweden)

    Abdulrahman Muthana

    2009-01-01

    Full Text Available Problem statement: How a host (the code consumer can determine with certainty that a downloaded program received from untrusted source (the code producer will maintain the confidentiality of the data it manipulates and it is safe to install and execute. Approach: The approach adopted for verifying that a downloaded program will not leak confidential data to unauthorized parties was based on the concept of Proof-Carrying Code (PCC. A mobile program (in its assembly form was analyzed for information flow security based on the concept of proof-carrying code. The security policy was centered on a type system for analyzing information flows within assembly programs based on the notion of noninterference. Results: A verification tool for verifying assembly programs for information flow security was built. The tool certifies SPARC assembly programs for secure information flow by statically analyzing the program based on the idea of Proof-Carrying Code (PCC. The tool operated directly on the machine-code requiring only the inputs and outputs of the code annotated with security levels. The tool provided a windows user interface enabling the users to control the verification process. The proofs that untrusted program did not leak sensitive information were generated and checked on the host machine and if they are valid, then the untrusted program can be installed and executed safely. Conclusion: By basing proof-carrying code infrastructure on information flow analysis type-system, a sufficient assurance of protecting confidential data manipulated by the mobile program can be obtained. This assurance was come due to the fact that type systems provide a sufficient guarantee of protecting confidentiality.

  13. Investigation of relationship between mental workload and information flow rate of accident diagnosis tasks in NPPs

    Energy Technology Data Exchange (ETDEWEB)

    Ha, Chang Hoon

    2005-02-15

    The objective of this study is to investigate experimentally the relationship between an operator's mental workload and the information flow rate of accident diagnosis tasks and further to propose the information flow rate as an analytic method for measuring the mental workload. There are two types of mental workload in the advanced MCR of NPPs: the information processing workload, which is the processing that the human operator must actually perform in order to complete the diagnosis task, and emotional stress workload experienced by the operator. In this study, the focus is on the former. Three kinds of methods are used to measure the operator's workload: information flow rate, subjective methods, and physiological measures. Information flows for eight accident diagnosis tasks are modeled qualitatively using a stage model and are quantified using Conant's model. The eight accident cases are considered here are: Loss Of Coolant Accident (LOCA), Steam Generator Tube Rupture (SGTR), Steam Line Break (SLB), Feedwater Line Break (FLB), Pressurizer (PZR) spray and heater failure, Reactor Coolant Pump (RCP) trip, Main Steam Isolation Valve (MSIV) failure, and PZR spray failure. The information flow rate is obtained for each diagnosis task by imposing time limit restrictions for the tasks. Subjective methods require the operators to respond to questionnaires to rate their level of mental effort. NASA-TLX and MCH scale are selected as subjective methods. NASA-TLX is a subjective method used in the various fields including the aviation, automobile, and nuclear industries. It has a multi-dimensional rating technique and provides an overall workload score based on a weighted average on six subscales using pair-wise comparison tests. MCH, on the other hand, is one-dimensional and uses a 10- point rating technique. As with NASA-TLX, the higher the score is, the higher the subjective workload is. For the physiological measurements, an eye tracking system analyzes

  14. Flipping the analytical coin : closing the information flow loop in high speed (real time) analysis

    NARCIS (Netherlands)

    K.E. Shahroudi

    1997-01-01

    textabstractAnalysis modules tend to be set up as one way flow of information, i.e a clear distinction between cause and effect or input and output. However, as the speed of analysis approaches real time (or faster than movie rate), it becomes increasingly difficult for an external user to

  15. Flipping the analytical coin : closing the information flow loop in high speed (real time) analysis

    NARCIS (Netherlands)

    Shahroudi, K.E.

    1997-01-01

    Analysis modules tend to be set up as one way flow of information, i.e a clear distinction between cause and effect or input and output. However, as the speed of analysis approaches real time (or faster than movie rate), it becomes increasingly difficult for an external user to distinguish between c

  16. Mapping the flow of information within the putative mirror neuron system during gesture observation

    NARCIS (Netherlands)

    Schippers, Marleen B.; Keysers, Christian

    2011-01-01

    The putative mirror neuron system may either function as a strict feed-forward system or as a dynamic control system. A strict feed-forward system would predict that action observation leads to a predominantly temporal -> parietal -> premotor flow of information in which a visual representation is t

  17. Dynamic logics of networks: Information flow and the spread of opinion

    NARCIS (Netherlands)

    Christoff, Z.L.

    2016-01-01

    This thesis uses logical tools to investigate a number of basic features of social networks and their evolution over time, including flow of information and spread of opinions. Part I contains the preliminaries, including an introduction to the basic phenomena in social networks that call for a logi

  18. ELABORATING A MEASUREMENT INSTRUMENT FOR THE FLOW EXPERIENCE DURING ONLINE INFORMATION SEARCH

    Directory of Open Access Journals (Sweden)

    Caraivan Luiza

    2012-12-01

    Full Text Available Flow is a construct imported in marketing research from social sciences in order to examine consumer behavior in the online medium. The construct describes a state of deep involvement in a challenging activity, most frequently characterized by high levels of enjoyment, control and concentration. Researchers found that the degree to which online experience is challenging can be defined, measured, and related well to important marketing variables. As shown by our extensive literature review, flow measurements include antecedents, dimensions and consequences of flow. The present paper represents a detailed description of the construct`s operationalization in the context of online information search. In this respect, our main goal is to produce a basic instrument to evaluate the flow experience of online search, in order to capitalize on the premises of an interactive, complex informational medium – the World Wide Web – and on the consequence of an exploratory informational behavior of users. The instrument is conceived to offer a primal possibility to collect data. The composition, source and significance of the 11 scales used to measure the multiple factors of the flow experience during online search are detailed in this study with the aim to ensure the compliance with scientific rigors and to facilitate correct reports of data related to the reliability and validity of measurements. For further research, we propose factor analysis to test the resulted instrument and to ensure that the measures employed are psychometrically sound. Factor analysis refers to a wide range of statistic techniques used to represent a set of variables in concordance with a reduced number of hypothetical variables called factors. Factorial analysis is used to solve two types of problems: reducing the number of variables to increase data processing speed and identifying hidden patterns in the existent data relations. However, we expect our scales to perform

  19. Synchronizing the information content of a chaotic map and flow via symbolic dynamics.

    Science.gov (United States)

    Corron, Ned J; Pethel, Shawn D; Myneni, Krishna

    2002-09-01

    In this paper we report an extension to the concept of generalized synchronization for coupling different types of chaotic systems, including maps and flows. This broader viewpoint takes disparate systems to be synchronized if their information content is equivalent. We use symbolic dynamics to quantize the information produced by each system and compare the symbol sequences to establish synchronization. A general architecture is presented for drive-response coupling that detects symbols produced by a chaotic drive oscillator and encodes them in a response system using the methods of chaos control. We include experimental results demonstrating synchronization of information content in an electronic oscillator circuit driven by a logistic map.

  20. Metropolises in the Twittersphere: An Informetric Investigation of Informational Flows and Networks

    Directory of Open Access Journals (Sweden)

    Thorsten Förster

    2015-09-01

    Full Text Available Information flows on social media platforms are able to show trends and user interests as well as connections between users. In this paper, we present a method how to analyze city related networks on the social media platform Twitter based on the user content. Forty million tweets have been downloaded via Twitter’s REST API (application programming interface and Twitter’s Streaming API. The investigation focuses on two aspects: firstly, trend detection has been done to analyze 31 informational world cities, according the user activity, popularity of shared websites and topics defined by hashtags. Secondly, a hint of how connected informational cities are to each other is given by creating a clustered network based on the number of connections between different city pairs. Tokyo, New York City, London and Paris clearly lead the ranking of the most active cities if compared by the total number of tweets. The investigation shows that Twitter is very frequently used to share content from other services like Instagram or YouTube. The most popular topics in tweets reveal great differences between the cities. In conclusion, the investigation shows that social media services like Twitter also can be a mirror of the society they are used in and bring to light information flows of connected cities in a global network. The presented method can be applied in further research to analyze information flows regarding specific topics and/or geographical locations.

  1. An information-flow-based model with dissipation, saturation and direction for active pathway inference

    Directory of Open Access Journals (Sweden)

    Wu Ling-Yun

    2010-05-01

    Full Text Available Abstract Background Biological systems process the genetic information and environmental signals through pathways. How to map the pathways systematically and efficiently from high-throughput genomic and proteomic data is a challenging open problem. Previous methods design different heuristics but do not describe explicitly the behaviours of the information flow. Results In this study, we propose new concepts of dissipation, saturation and direction to decipher the information flow behaviours in the pathways and thereby infer the biological pathways from a given source to its target. This model takes into account explicitly the common features of the information transmission and provides a general framework to model the biological pathways. It can incorporate different types of bio-molecular interactions to infer the signal transduction pathways and interpret the expression quantitative trait loci (eQTL associations. The model is formulated as a linear programming problem and thus is solved efficiently. Experiments on the real data of yeast indicate that the reproduced pathways are highly consistent with the current knowledge. Conclusions Our model explicitly treats the biological pathways as information flows with dissipation, saturation and direction. The effective applications suggest that the three new concepts may be valid to describe the organization rules of biological pathways. The deduced linear programming should be a promising tool to infer the various biological pathways from the high-throughput data.

  2. Side Information and Noise Learning for Distributed Video Coding using Optical Flow and Clustering

    DEFF Research Database (Denmark)

    Luong, Huynh Van; Rakêt, Lars Lau; Huang, Xin

    2012-01-01

    Transform Domain Wyner-Ziv (TDWZ) coding and proposes using optical flow to improve side information generation and clustering to improve noise modeling. The optical flow technique is exploited at the decoder side to compensate weaknesses of block based methods, when using motion-compensation to generate......Distributed video coding (DVC) is a coding paradigm which exploits the source statistics at the decoder side to reduce the complexity at the encoder. The coding efficiency of DVC critically depends on the quality of side information generation and accuracy of noise modeling. This paper considers...... side information frames. Clustering is introduced to capture cross band correlation and increase local adaptivity in the noise modeling. This paper also proposes techniques to learn from previously decoded (WZ) frames. Different techniques are combined by calculating a number of candidate soft side...

  3. [Impact of the Internet on communication flow of scientific health information].

    Science.gov (United States)

    Castro, Regina C Figueiredo

    2006-08-01

    Communication flow of scientific information has been restructured with the development of new technologies and the Internet and their impact on social relations worldwide. The production of scientific knowledge has also been influenced by these cultural, social and economic changes and has contributed to new patterns of scientific communication. The objective of the study was to present the traditional scientific communication model and its evolution to electronic scientific communication stimulated by the use of electronic media and Internet and networking. While the traditional model is based on printed publications, the new one focuses on electronic publishing and open unlimited access to published literature. The challenges faced are in using all the potential of electronic media for improving traditional communication flow of scientific information and defining policies to support the new model of scientific communication to ensure quality, preservation and dissemination of information as a common good.

  4. Applying the maximum information principle to cell transmission model of tra-ffic flow

    Institute of Scientific and Technical Information of China (English)

    刘喜敏; 卢守峰

    2013-01-01

    This paper integrates the maximum information principle with the Cell Transmission Model (CTM) to formulate the velo-city distribution evolution of vehicle traffic flow. The proposed discrete traffic kinetic model uses the cell transmission model to cal-culate the macroscopic variables of the vehicle transmission, and the maximum information principle to examine the velocity distri-bution in each cell. The velocity distribution based on maximum information principle is solved by the Lagrange multiplier method. The advantage of the proposed model is that it can simultaneously calculate the hydrodynamic variables and velocity distribution at the cell level. An example shows how the proposed model works. The proposed model is a hybrid traffic simulation model, which can be used to understand the self-organization phenomena in traffic flows and predict the traffic evolution.

  5. BOLD delay times using group delay in sickle cell disease

    Science.gov (United States)

    Coloigner, Julie; Vu, Chau; Bush, Adam; Borzage, Matt; Rajagopalan, Vidya; Lepore, Natasha; Wood, John

    2016-03-01

    Sickle cell disease (SCD) is an inherited blood disorder that effects red blood cells, which can lead to vasoocclusion, ischemia and infarct. This disease often results in neurological damage and strokes, leading to morbidity and mortality. Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique for measuring and mapping the brain activity. Blood Oxygenation Level-Dependent (BOLD) signals contain also information about the neurovascular coupling, vascular reactivity, oxygenation and blood propagation. Temporal relationship between BOLD fluctuations in different parts of the brain provides also a mean to investigate the blood delay information. We used the induced desaturation as a label to profile transit times through different brain areas, reflecting oxygen utilization of tissue. In this study, we aimed to compare blood flow propagation delay times between these patients and healthy subjects in areas vascularized by anterior, middle and posterior cerebral arteries. In a group comparison analysis with control subjects, BOLD changes in these areas were found to be almost simultaneous and shorter in the SCD patients, because of their increased brain blood flow. Secondly, the analysis of a patient with a stenosis on the anterior cerebral artery indicated that signal of the area vascularized by this artery lagged the MCA signal. These findings suggest that sickle cell disease causes blood propagation modifications, and that these changes could be used as a biomarker of vascular damage.

  6. Evolutionary Marginal Cost Pricing Scheme Implementation Based on Stochastic Traffic Flow Information

    Directory of Open Access Journals (Sweden)

    Wei Xu

    2015-01-01

    Full Text Available Traditionally, to implement the first-best marginal cost pricing scheme in a traffic network requires the information on the exact demand function or true origin-destination demand, which, however, is rarely available in practice. To overcome this dilemma, the trial-and-error method has been proposed to find the marginal cost toll through an iterative process using the observed traffic volumes. This method guarantees the convergence of tolls and flows to the system optimal state under the assumption of deterministic traffic conditions. However, in reality, the uncertainty of transportation network has been recognized well that induces the variability of link flow and travel time. Therefore, this paper proposes an evolutionary implementation method that iteratively finds the first-best marginal cost toll pattern according to the observed stochastic link flow information and the known travel time functions. The proof of the convergence of the iterative algorithm is presented. The paper also analyzes the effect of the sampling error of the link flow data on the convergence of the algorithm and shows that the biases from the flow observation will not affect the convergence. The numerical tests are provided for the illustration of the algorithm.

  7. A Recipe for the Estimation of Information Flow in a Dynamical System

    Directory of Open Access Journals (Sweden)

    Deniz Gencaga

    2015-01-01

    Full Text Available Information-theoretic quantities, such as entropy and mutual information (MI, can be used to quantify the amount of information needed to describe a dataset or the information shared between two datasets. In the case of a dynamical system, the behavior of the relevant variables can be tightly coupled, such that information about one variable at a given instance in time may provide information about other variables at later instances in time. This is often viewed as a flow of information, and tracking such a flow can reveal relationships among the system variables. Since the MI is a symmetric quantity; an asymmetric quantity, called Transfer Entropy (TE, has been proposed to estimate the directionality of the coupling. However, accurate estimation of entropy-based measures is notoriously difficult. Every method has its own free tuning parameter(s and there is no consensus on an optimal way of estimating the TE from a dataset. We propose a new methodology to estimate TE and apply a set of methods together as an accuracy cross-check to provide a reliable mathematical tool for any given data set. We demonstrate both the variability in TE estimation across techniques as well as the benefits of the proposed methodology to reliably estimate the directionality of coupling among variables.

  8. Spatially resolved information on karst conduit flow from in-cave dye tracing

    Science.gov (United States)

    Lauber, U.; Ufrecht, W.; Goldscheider, N.

    2014-02-01

    Artificial tracers are powerful tools for investigating karst systems. Tracers are commonly injected into sinking streams or dolines, while springs serve as monitoring sites. The obtained flow and transport parameters represent mixed information from the vadose, epiphreatic and phreatic zones (that is, the aquifer remains a black box). Accessible active caves constitute valuable but underexploited natural laboratories to gain detailed insights into the hydrologic functioning of the aquifer. Two multi-tracer tests in the catchment of a major karst spring (Blautopf, Germany) with injections and monitoring in two associated water caves aimed at obtaining spatially and temporally resolved information on groundwater flow in different compartments of the system. Two tracers were injected into the caves to characterize the hydraulic connections between them and with the spring. Two injections at the land surface, far from the spring, aimed at resolving the aquifer's internal drainage structure. Tracer breakthrough curves were monitored by field fluorimeters in caves and at the spring. Results demonstrate the dendritic drainage structure of the aquifer. It was possible to obtain relevant flow and transport parameters for different sections of this system. The highest mean flow velocities (275 m h-1) were observed in the near-spring epiphreatic section (open-channel flow), while velocities in the phreatic zone (pressurized flow) were one order of magnitude lower. Determined conduit water volumes confirm results of water balances and hydrograph analyses. In conclusion, experiments and monitoring in caves can deliver spatially resolved information on karst aquifer heterogeneity and dynamics that cannot be obtained by traditional investigative methods.

  9. Multiple temperature model for the information preservation method and its application to nonequilibrium gas flows

    Science.gov (United States)

    Zhang, Jun; Fan, Jing; Jiang, Jianzheng

    2011-08-01

    The information preservation (IP) method has been successfully applied to various nonequilibrium gas flows. Comparing with the direct simulation Monte Carlo (DSMC) method, the IP method dramatically reduces the statistical scatter by preserving collective information of simulation molecules. In this paper, a multiple temperature model is proposed to extend the IP method to strongly translational nonequilibrium gas flows. The governing equations for the IP quantities have been derived from the Boltzmann equation based on an assumption that each simulation molecule represents a Gaussian distribution function with a second-order temperature tensor. According to the governing equations, the implementation of IP method is divided into three steps: molecular movement, molecular collision, and update step. With a reasonable multiple temperature collision model and the flux splitting method in the update step, the transport of IP quantities can be accurately modeled. We apply the IP method with the multiple temperature model to shear-driven Couette flow, external force-driven Poiseuille flow and thermal creep flow, respectively. In the former two cases, the separation of different temperature components is clearly observed in the transition regime, and the velocity, temperature and pressure distributions are also well captured. The thermal creep flow, resulting from the presence of temperature gradients along boundary walls, is properly simulated. All of the IP results compare well with the corresponding DSMC results, whereas the IP method uses much smaller sampling sizes than the DSMC method. This paper shows that the IP method with the multiple temperature model is an accurate and efficient tool to simulate strongly translational nonequilibrium gas flows.

  10. Exploring the Intrinsic Motivation of Hedonic Information Systems Acceptance: Integrating Hedonic Theory and Flow with TAM

    Science.gov (United States)

    Wang, Zhihuan

    Research on Information Systems (IS) acceptance is substantially focused on extrinsic motivation in workplaces, little is known about the underlying intrinsic motivations of Hedonic IS (HIS) acceptance. This paper proposes a hybrid HIS acceptance model which takes the unique characteristics of HIS and multiple identities of a HIS user into consideration by interacting Hedonic theory, Flow theory with Technology Acceptance Model (TAM). The model was empirically tested by a field survey. The result indicates that emotional responses, imaginal responses, and flow experience are three main contributions of HIS acceptance.

  11. Delayed Puberty

    DEFF Research Database (Denmark)

    Kolby, Nanna; Busch, Alexander Siegfried; Juul, Anders

    2017-01-01

    Delayed puberty can be a source of great concern and anxiety, although it usually is caused by a self-limiting variant of the normal physiological timing named constitutional delay of growth and puberty (CDGP). Delayed puberty can, however, also be the first presentation of a permanent condition ...... mineral density) and psychological (e.g., low self-esteem) and underline the importance of careful clinical assessment of the patients.......Delayed puberty can be a source of great concern and anxiety, although it usually is caused by a self-limiting variant of the normal physiological timing named constitutional delay of growth and puberty (CDGP). Delayed puberty can, however, also be the first presentation of a permanent condition...

  12. Guaranteed cost consensus protocol design for linear multi-agent systems with sampled-data information: An input delay approach.

    Science.gov (United States)

    Zhao, Yadong; Zhang, Weidong

    2017-03-01

    To investigate the energy consumption involved in a sampled-data consensus process, the problem of guaranteed cost consensus for sampled-data linear multi-agent systems is considered. By using an input delay approach, an equivalent system is constructed to convert the guaranteed cost consensus problem to a guaranteed cost stabilization problem. A sufficient condition for guaranteed cost consensus is given in terms of linear matrix inequalities (LMIs), based on a refined time-dependent Lyapunov functional analysis. Reduced-order protocol design methodologies are proposed, with further discussions on determining sub-optimal protocol gain and enlarging allowable sampling interval bound made as a complement. Simulation results illustrate the effectiveness of the theoretical results.

  13. INFORMATION FUSION STEADY-STATE WHITE NOISE DECONVOLUTION ESTIMATORS WITH TIME-DELAYED MEASUREMENTS AND COLORED MEASUREMENT NOISES

    Institute of Scientific and Technical Information of China (English)

    Sun Xiaojun; Deng Zili

    2009-01-01

    White noise deconvolution or input white noise estimation problem has important application backgrounds in oil seismic exploration, communication and signal processing. By the modern time series analysis method, based on the Auto-Regressive Moving Average (ARMA) innovation model, under the linear minimum variance optimal fusion rules, three optimal weighted fusion white noise deconvolution estimators are presented for the multisensor systems with time-delayed measurements and colored measurement noises. They can handle the input white noise fused filtering, prediction and smoothing problems. The accuracy of the fusers is higher than that of each local white noise estimator. In order to compute the optimal weights, the formula of computing the local estimation error cross-covariances is given. A Monte Carlo simulation example for the system with 3 sensors and the Bernoulli-Gaussian input white noise shows their effectiveness and performances.

  14. Delayed fission

    Energy Technology Data Exchange (ETDEWEB)

    Hatsukawa, Yuichi [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment

    1997-07-01

    Delayed fission is a nuclear decay process that couples {beta} decay and fission. In the delayed fission process, a parent nucleus undergoes {beta} decay and thereby populates excited states in the daughter. If these states are of energies comparable to or greater than the fission barrier of the daughter, then fission may compete with other decay modes of the excited states in the daughter. In this paper, mechanism and some experiments of the delayed fission will be discussed. (author)

  15. A generic spatial-stochastic framework for quantifying noisy information flow in multicellular systems

    Science.gov (United States)

    Sokolowski, Thomas; Tkačik, Gašper

    Spatio-temporal protein signals play a crucial role in communicating information within and between cells. However, their ability to convey signals robustly is hampered by noise in gene regulation and biochemical transport, occuring at low copy numbers. While we increasingly understand distinct strategies of biochemical noise control, it remains unclear how nature orchestrates them to maximize information flow. Our recent work extends our information-theoretic framework for gene regulation to an explicitly spatial setting. We constructed a stochastic model enabling fast calculation of local means and variances in a spatially coupled gene regulatory system, which we use for rigorous quantification of information flow in an ensemble of units sensing a spatially distributed input and exchanging information via diffusion. By applying our framework to the paradigmatic Bcd-Hbk system in early fly development, we demonstrate that diffusive coupling can be of substantial benefit in encoding positional information, and uncover a novel optimal regulatory strategy relying on spatial coupling. Thanks to the generic methodology employed, our framework is universally applicable for realistic predictive modeling and data-driven inference of multicellular systems engaging in noisy communication. Institute of Science and Technology Austria, Am Campus 1, A-3400 Klosterneuburg, Austria.

  16. Extending freight flow modelling to sub-Saharan Africa to inform infrastructure investments - trade data issues

    Directory of Open Access Journals (Sweden)

    Jan Havenga

    2012-11-01

    Full Text Available This paper highlights the first attempt by researchers at Stellenbosch University to model freight flows between and for 17 countries in sub-Saharan Africa (SSA. The model will be informed by and linked to the South African surface Freight Demand Model (FDM given these dimensions. By analysing and collating available datasets and developing a freight flow model, a better understanding of freight movements between countries can be obtained and then used for long-term planning efforts. A simple methodology is envisaged that will entail a high-level corridor classification that links a major district in the country with a similar district in another country. Existing trade data will be used to corroborate new base-year economic demand and supply volumetric data that will be generated from social accounting matrices for each country. The trade data will also provide initial flow dynamics between countries that will be refined according to the new volumes. The model can then generate commodity-level corridor flows between SSA countries, and between SSA countries and the rest of the world, as well as intra-country rural and metropolitan flows, using a gravity-based modelling approach. This article outlines efforts to harmonise trade data between the 17 countries identified, as well as between these countries and the rest of the world as a first step towards developing a freight demand model for sub-Saharan Africa.

  17. Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow

    DEFF Research Database (Denmark)

    Salmistraro, Matteo; Zamarin, Marco; Rakêt, Lars Lau

    2013-01-01

    Distributed Video Coding (DVC) is a video coding paradigm allowing a shift of complexity from the encoder to the decoder. Depth maps are images enabling the calculation of the distance of an object from the camera, which can be used in multiview coding in order to generate virtual views, but also...... information, a block-based and an optical flow-based methods are employed. Finally we fuse the proposed Side Informations using a multi-hypothesis DVC decoder, which allows us to exploit the strengths of all the proposed methods at the same time....

  18. Mapserver – Information Flow Management Software for The Border Guard Distributed Data Exchange System

    Directory of Open Access Journals (Sweden)

    Blok Marek

    2016-09-01

    Full Text Available In this paper the architecture of the software designed for management of position and identification data of floating and flying objects in Maritime areas controlled by Polish Border Guard is presented. The software was designed for managing information stored in a distributed system with two variants of the software, one for a mobile device installed on a vessel, an airplane or a car and second for a central server. The details of implementation of all functionalities of the MapServer in both, mobile and central, versions are briefly presented on the basis of information flow diagrams.

  19. Opportunities in IT Support of Workflow & Information Flow in the Emergency Department Digital Imaging Process.

    Science.gov (United States)

    Fairbanks, R J; Guarrera, T K; Bisantz, A B; Venturino, M; Westesson, P L

    2010-09-01

    The goal of this study is to examine workflow and information flow in the emergency department (ED) digital imaging process to identify features of an optimized system. Radiological imaging (x-rays, CT scans, etc) is unique in the ED setting, as the need for fast turn-around time and interactive communication between radiologists and emergency physicians is different than that of most other healthcare settings. The information technology systems which are used by both radiologists and emergency physicians to support these processes have been designed with a focus on the routine workflow of radiologists. We report the results of 14 hours of naturalistic observations of the use of digital imaging systems by a total of 22 ED and radiology staff. A hierarchical task analysis and an information process diagram are presented, and disparate theories that groups in the system have about other groups were discovered, particularly in the communication of clinical information.

  20. Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems

    CERN Document Server

    DeDeo, Simon; Klingenstein, Sara; Hitchcock, Tim

    2013-01-01

    We characterize the statistical bootstrap for the estimation of information-theoretic quantities from data, with particular reference to its use in the study of large-scale social phenomena. Our methods allow one to preserve, approximately, the underlying axiomatic relationships of information theory---in particular, consistency under arbitrary coarse-graining---that motivate use of these quantities in the first place, while providing reliability comparable to the state of the art for Bayesian estimators. We show how information-theoretic quantities allow for rigorous empirical study of the decision-making capacities of rational agents, and the time-asymmetric flows of information in distributed systems. We provide illustrative examples by reference to ongoing collaborative work on the semantic structure of the British Criminal Court system and the conflict dynamics of the contemporary Afghanistan insurgency.

  1. Confidence sharing: an economic strategy for efficient information flows in animal groups.

    Directory of Open Access Journals (Sweden)

    Amos Korman

    2014-10-01

    Full Text Available Social animals may share information to obtain a more complete and accurate picture of their surroundings. However, physical constraints on communication limit the flow of information between interacting individuals in a way that can cause an accumulation of errors and deteriorated collective behaviors. Here, we theoretically study a general model of information sharing within animal groups. We take an algorithmic perspective to identify efficient communication schemes that are, nevertheless, economic in terms of communication, memory and individual internal computation. We present a simple and natural algorithm in which each agent compresses all information it has gathered into a single parameter that represents its confidence in its behavior. Confidence is communicated between agents by means of active signaling. We motivate this model by novel and existing empirical evidences for confidence sharing in animal groups. We rigorously show that this algorithm competes extremely well with the best possible algorithm that operates without any computational constraints. We also show that this algorithm is minimal, in the sense that further reduction in communication may significantly reduce performances. Our proofs rely on the Cramér-Rao bound and on our definition of a Fisher Channel Capacity. We use these concepts to quantify information flows within the group which are then used to obtain lower bounds on collective performance. The abstract nature of our model makes it rigorously solvable and its conclusions highly general. Indeed, our results suggest confidence sharing as a central notion in the context of animal communication.

  2. Confidence sharing: an economic strategy for efficient information flows in animal groups.

    Science.gov (United States)

    Korman, Amos; Greenwald, Efrat; Feinerman, Ofer

    2014-10-01

    Social animals may share information to obtain a more complete and accurate picture of their surroundings. However, physical constraints on communication limit the flow of information between interacting individuals in a way that can cause an accumulation of errors and deteriorated collective behaviors. Here, we theoretically study a general model of information sharing within animal groups. We take an algorithmic perspective to identify efficient communication schemes that are, nevertheless, economic in terms of communication, memory and individual internal computation. We present a simple and natural algorithm in which each agent compresses all information it has gathered into a single parameter that represents its confidence in its behavior. Confidence is communicated between agents by means of active signaling. We motivate this model by novel and existing empirical evidences for confidence sharing in animal groups. We rigorously show that this algorithm competes extremely well with the best possible algorithm that operates without any computational constraints. We also show that this algorithm is minimal, in the sense that further reduction in communication may significantly reduce performances. Our proofs rely on the Cramér-Rao bound and on our definition of a Fisher Channel Capacity. We use these concepts to quantify information flows within the group which are then used to obtain lower bounds on collective performance. The abstract nature of our model makes it rigorously solvable and its conclusions highly general. Indeed, our results suggest confidence sharing as a central notion in the context of animal communication.

  3. #FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media.

    Science.gov (United States)

    Zhao, Jian; Cao, Nan; Wen, Zhen; Song, Yale; Lin, Yu-Ru; Collins, Christopher

    2014-12-01

    We present FluxFlow, an interactive visual analysis system for revealing and analyzing anomalous information spreading in social media. Everyday, millions of messages are created, commented, and shared by people on social media websites, such as Twitter and Facebook. This provides valuable data for researchers and practitioners in many application domains, such as marketing, to inform decision-making. Distilling valuable social signals from the huge crowd's messages, however, is challenging, due to the heterogeneous and dynamic crowd behaviors. The challenge is rooted in data analysts' capability of discerning the anomalous information behaviors, such as the spreading of rumors or misinformation, from the rest that are more conventional patterns, such as popular topics and newsworthy events, in a timely fashion. FluxFlow incorporates advanced machine learning algorithms to detect anomalies, and offers a set of novel visualization designs for presenting the detected threads for deeper analysis. We evaluated FluxFlow with real datasets containing the Twitter feeds captured during significant events such as Hurricane Sandy. Through quantitative measurements of the algorithmic performance and qualitative interviews with domain experts, the results show that the back-end anomaly detection model is effective in identifying anomalous retweeting threads, and its front-end interactive visualizations are intuitive and useful for analysts to discover insights in data and comprehend the underlying analytical model.

  4. Influence of Optic-Flow Information Beyond the Velocity Field on the Active Control of Heading

    Directory of Open Access Journals (Sweden)

    Li Li

    2011-05-01

    Full Text Available We examined both the sufficiency of the optic-flow velocity field and the influence of optic-flow information beyond the velocity field on the active control of heading. The display simulated a vehicle traveling on a circular path through a random-dot 3D cloud under a static or a dynamic scene in which dots were periodically redrawn to remove information beyond a velocity field. Participants used a joystick, under either velocity and acceleration control dynamics, to steer and align the vehicle orientation with their perceived heading while experiencing random perturbations to the vehicle orientation. Frequency response (Bode plots show reasonably good performance under both display conditions with a decrease in gain and an increase in phase lag for the dynamic scene for both control dynamics. The performance data were then fit by a Crossover Model to identify reaction time and lead time constant to determine how much participants anticipated future heading to generate lead control. Reaction time was longer and lead time constant was smaller for the dynamic than the static scene for both control dynamics. We conclude that the velocity field alone is sufficient to support closed-loop heading control, but optic-flow information beyond the velocity field improves visuomotor performance in self-motion control.

  5. Delays and user performance in human-computer-network interaction tasks.

    Science.gov (United States)

    Caldwell, Barrett S; Wang, Enlie

    2009-12-01

    This article describes a series of studies conducted to examine factors affecting user perceptions, responses, and tolerance for network-based computer delays affecting distributed human-computer-network interaction (HCNI) tasks. HCNI tasks, even with increasing computing and network bandwidth capabilities, are still affected by human perceptions of delay and appropriate waiting times for information flow latencies. Conducted were 6 laboratory studies with university participants in China (Preliminary Experiments 1 through 3) and the United States (Experiments 4 through 6) to examine users' perceptions of elapsed time, effect of perceived network task performance partners on delay tolerance, and expectations of appropriate delays based on task, situation, and network conditions. Results across the six experiments indicate that users' delay tolerance and estimated delay were affected by multiple task and expectation factors, including task complexity and importance, situation urgency and time availability, file size, and network bandwidth capacity. Results also suggest a range of user strategies for incorporating delay tolerance in task planning and performance. HCNI user experience is influenced by combinations of task requirements, constraints, and understandings of system performance; tolerance is a nonlinear function of time constraint ratios or decay. Appropriate user interface tools providing delay feedback information can help modify user expectations and delay tolerance. These tools are especially valuable when delay conditions exceed a few seconds or when task constraints and system demands are high. Interface designs for HCNI tasks should consider assistant-style presentations of delay feedback, information freshness, and network characteristics. Assistants should also gather awareness of user time constraints.

  6. Information and knowledge flows in product development of automotive industry – a comparison between formal and informal networks

    Directory of Open Access Journals (Sweden)

    Renelson Ribeiro Sampaio

    2013-03-01

    Full Text Available To maintain competitive advantage, companies must innovate. Thus, high quality, low cost and diversity of products became the starting condition for competitiveness. As a result, speed and flexibility in the design of new products are crucial, as these factors are related to the ability of companies to respond adequately to the pressures from the market. Innovation is usually related to the introduction of something new in a particular work process, which lead to new products or services. The ability for people to share information is then to be seen as a factor of strengthening of the work processes in order to contribute substantially to the company's competitive advantage in this new context. Considering these aspects, this paper seeks to map the processes of product development for an automobile company, analyzing and mapping the flow of information. The main contribution of this study is the critical analysis of social network established in a time of development of a project. This analysis provides an estimate of the level of diffusion of information and knowledge among team members, as well as the comparison between social networking and formal network mapped empirically defined a priori in the company's written procedures.

  7. Flow Shop Systems as a Part of the Logistics Information System

    Directory of Open Access Journals (Sweden)

    Ivan Brezina

    2006-12-01

    Full Text Available The Establishing of an efficient information system to support decision making in a production company is a challenging task, which involves coordination of activities and knowledge of many people in modern technical environment. The organization of each production process into one unit is very demanding and for that reason, production logistics plays an important role in this process. Production logistics is an aggregation of logistics problems and steps essential for preparation and its own development of the production process. Thus logistics information system is a significant part of management information systems. Logistics information system in order to purvey relevant data for decision making should contain methods that objectify decision making, i.e. methods based on quantitative approaches. A Part of the quantitative approaches in the field of production logistics are the FLOW SHOP systems. This article deals with the FlowShop program system (software, which was developed at the Faculty of Economic Informatics, University of economics in Bratislava in cooperation with Siemens PSE.

  8. Delay of Vehicle Motion in Traffic Dynamics

    CERN Document Server

    Bando, M; Nakanishi, K; Nakayama, A; Bando, Masako; Hasebe, Katsuya; Nakanishi, Ken; Nakayama, Akihiro

    1996-01-01

    We demonstrate that in Optimal Velocity Model (OVM) delay times of vehicles coming from the dynamical equation of motion of OVM almost explain the order of delay times observed in actual traffic flows without introducing explicit delay times. Delay times in various cases are estimated: the case of a leader vehicle and its follower, a queue of vehicles controlled by traffic lights and many-vehicle case of highway traffic flow. The remarkable result is that in most of the situation for which we can make a reasonable definition of a delay time, the obtained delay time is of order 1 second.

  9. Evolutionary systemic risk: Fisher information flow metric in financial network dynamics

    Science.gov (United States)

    Khashanah, Khaldoun; Yang, Hanchao

    2016-03-01

    Recently the topic of financial network dynamics has gained renewed interest from researchers in the field of empirical systemic risk measurements. We refer to this type of network analysis as information flow networks analysis (IFNA). This paper proposes a new method that applies Fisher information metric to the evolutionary dynamics of financial networks using IFNA. Our paper is the first to apply the Fisher information metric to a set of financial time series. We introduce Evolution Index (EI) as a measure of systemic risk in financial networks. It is shown, for concrete networks with actual data of several stock markets, that the EI can be implemented as a measure of fitness of the stock market and as a leading indicator of systemic risk.

  10. Managing Returnable Containers Logistics - A Case Study Part I - Physical and Information Flow Analysis

    Directory of Open Access Journals (Sweden)

    Reza A. Maleki

    2011-05-01

    Full Text Available This case study paper is the result of a project conducted on behalf of a company, hereon referred to as Midwest Assembly and Manufacturing or MAAN. The company's operations include component manufacturing, painting, and assembling products. The company also purchases a relatively large percentage of components and major assemblies that are needed to support final assembly operations. MAAN uses its own returnable containers to transport purchased parts from suppliers. Due to poor tracking of the containers, the company has been experiencing lost containers and occasional production disruptions at its facility well as at the supplier sites. The objective of this project was to develop a proposal to enable MAAN to more effectively track and manage its returnable containers. The research activities in support of this project included the analysis and documentation of both the physical flow and the information flow associated with the containers as well as some of the technologies that can help with automatic identification and tracking of containers. The focal point of this paper is on a macro?level approach for the analysis of container and information flow within the logistics chain. A companion paper deals with several of the automatic identification technologies that have the potential to improve the management of MAAN's returnable containers.

  11. Collaborative distributed sensor management and information exchange flow control for multitarget tracking using Markov decision processes

    Science.gov (United States)

    Akselrod, Dimitry; Kirubarajan, T.

    2008-04-01

    In this paper, we consider the problem of collaborative management of uninhabited aerial vehicles (UAVs) for multitarget tracking. In addition to providing a solution to the problem of controlling individual UAVs, we present a method for controlling the information flow among them. The latter provides a solution to one of the main problems in decentralized tracking, namely, distributed information transfer and fusion among the participating platforms. The problem of decentralized cooperative control considered in this paper is an optimization of the information obtained by a number of UAVs, carrying out surveillance over a region, which includes a number of confirmed and suspected moving targets with the goal to track confirmed targets and detects new targets in the area. Each UAV has to decide on the most optimal path with the objective to track as many targets as possible, maximizing the information obtained during its operation with the maximum possible accuracy at the lowest possible cost. Limited communication between UAVs and uncertainty in the information obtained by each UAV regarding the location of the ground targets are addressed in the problem formulation. In order to handle these issues, the problem is presented as an operation of a group of decision makers. Markov Decision Processes (MDPs) are incorporated into the solution. A decision mechanism for collaborative distributed data fusion provides each UAV with the required data for the fusion process while substantially reducing redundancy in the information flow in the overall system. We consider a distributed data fusion system consisting of UAVs that are decentralized, heterogenous, and potentially unreliable. Simulation results are presented on a representative multisensor-multitarget tracking problem.

  12. Information in small neuronal ensemble activity in the hippocampal CA1 during delayed non-matching to sample performance in rats

    Directory of Open Access Journals (Sweden)

    Takahashi Susumu

    2009-09-01

    Full Text Available Abstract Background The matrix-like organization of the hippocampus, with its several inputs and outputs, has given rise to several theories related to hippocampal information processing. Single-cell electrophysiological studies and studies of lesions or genetically altered animals using recognition memory tasks such as delayed non-matching-to-sample (DNMS tasks support the theories. However, a complete understanding of hippocampal function necessitates knowledge of the encoding of information by multiple neurons in a single trial. The role of neuronal ensembles in the hippocampal CA1 for a DNMS task was assessed quantitatively in this study using multi-neuronal recordings and an artificial neural network classifier as a decoder. Results The activity of small neuronal ensembles (6-18 cells over brief time intervals (2-50 ms contains accurate information specifically related to the matching/non-matching of continuously presented stimuli (stimulus comparison. The accuracy of the combination of neurons pooled over all the ensembles was markedly lower than those of the ensembles over all examined time intervals. Conclusion The results show that the spatiotemporal patterns of spiking activity among cells in the small neuronal ensemble contain much information that is specifically useful for the stimulus comparison. Small neuronal networks in the hippocampal CA1 might therefore act as a comparator during recognition memory tasks.

  13. Time Delay Circuits: A Quality Criterion for Delay Variations versus Frequency

    NARCIS (Netherlands)

    Garakoui, Seyed Kasra; Klumperink, Eric A.M.; Nauta, Bram; Vliet, van Frank E.

    2010-01-01

    This paper shows that the group delay of a delay circuit does not give sufficient information to predict the delay vs. frequency. A new criterion (fϕ=0) is proposed that characterizes the delay variations over a specified frequency range. The mathematical derivation of fϕ=0 for a single delay block

  14. Quantum formalism as an optimisation procedure of information flows for physical and biological systems.

    Science.gov (United States)

    Baladrón, Carlos; Khrennikov, Andrei

    2016-12-01

    The similarities between biological and physical systems as respectively defined in quantum information biology (QIB) and in a Darwinian approach to quantum mechanics (DAQM) have been analysed. In both theories the processing of information is a central feature characterising the systems. The analysis highlights a mutual support on the thesis contended by each theory. On the one hand, DAQM provides a physical basis that might explain the key role played by quantum information at the macroscopic level for bio-systems in QIB. On the other hand, QIB offers the possibility, acting as a macroscopic testing ground, to analyse the emergence of quantumness from classicality in the terms held by DAQM. As an added result of the comparison, a tentative definition of quantum information in terms of classical information flows has been proposed. The quantum formalism would appear from this comparative analysis between QIB and DAQM as an optimal information scheme that would maximise the stability of biological and physical systems at any scale.

  15. Hazards Assessment of Regional Debris Flows Based on Geographic Information Science

    Institute of Scientific and Technical Information of China (English)

    JIANG Xiaobo; GUI Peng

    2007-01-01

    Supported by the spatial analysis feature of geographic information science and assessment model of regional debris flows, hazards degrees of the debris flows in the Upper Yangtze River Watershed (UYRW) are divided into five grades based on grid cell. The area of no danger, light danger, medium danger, severe danger and extreme severe danger regions respectively are 278 000, 288 000, 217 000, 127 000, 15 000 km2. Furthermore, the counties in the UYRW are classified into four classes based on the hazards degrees in each county. The number of severe danger, medium danger, light danger and no danger counties respectively are 49, 82, 77 and 105. The assessment results will be provided for the hazards forecasting and mitigation in the UYRW and ongoing regionalization of Main Function Regions in China as data and technique framework.

  16. An Integrative Literature Review of Organisational Factors Associated with Admission and Discharge Delays in Critical Care

    Directory of Open Access Journals (Sweden)

    Laura-Maria Peltonen

    2015-01-01

    Full Text Available The literature shows that delayed admission to the intensive care unit (ICU and discharge delays from the ICU are associated with increased adverse events and higher costs. Identifying factors related to delays will provide information to practice improvements, which contribute to better patient outcomes. The aim of this integrative review was to explore the incidence of patients’ admission and discharge delays in critical care and to identify organisational factors associated with these delays. Seven studies were included. The major findings are as follows: (1 explanatory research about discharge delays is scarce and one study on admission delays was found, (2 delays are a common problem mostly due to organisational factors, occurring in 38% of admissions and 22–67% of discharges, and (3 redesigning care processes by improving information management and coordination between units and interdisciplinary teams could reduce discharge delays. In conclusion, patient outcomes can be improved through efficient and safe care processes. More exploratory research is needed to identify factors that contribute to admission and discharge delays to provide evidence for clinical practice improvements. Shortening delays requires an interdisciplinary and multifaceted approach to the whole patient flow process. Conclusions should be made with caution due to the limited number of articles included in this review.

  17. Coupled information diffusion--pest dynamics models predict delayed benefits of farmer cooperation in pest management programs.

    Directory of Open Access Journals (Sweden)

    François Rebaudo

    2011-10-01

    Full Text Available Worldwide, the theory and practice of agricultural extension system have been dominated for almost half a century by Rogers' "diffusion of innovation theory". In particular, the success of integrated pest management (IPM extension programs depends on the effectiveness of IPM information diffusion from trained farmers to other farmers, an important assumption which underpins funding from development organizations. Here we developed an innovative approach through an agent-based model (ABM combining social (diffusion theory and biological (pest population dynamics models to study the role of cooperation among small-scale farmers to share IPM information for controlling an invasive pest. The model was implemented with field data, including learning processes and control efficiency, from large scale surveys in the Ecuadorian Andes. Our results predict that although cooperation had short-term costs for individual farmers, it paid in the long run as it decreased pest infestation at the community scale. However, the slow learning process placed restrictions on the knowledge that could be generated within farmer communities over time, giving rise to natural lags in IPM diffusion and applications. We further showed that if individuals learn from others about the benefits of early prevention of new pests, then educational effort may have a sustainable long-run impact. Consistent with models of information diffusion theory, our results demonstrate how an integrated approach combining ecological and social systems would help better predict the success of IPM programs. This approach has potential beyond pest management as it could be applied to any resource management program seeking to spread innovations across populations.

  18. Coupled information diffusion--pest dynamics models predict delayed benefits of farmer cooperation in pest management programs.

    Science.gov (United States)

    Rebaudo, François; Dangles, Olivier

    2011-10-01

    Worldwide, the theory and practice of agricultural extension system have been dominated for almost half a century by Rogers' "diffusion of innovation theory". In particular, the success of integrated pest management (IPM) extension programs depends on the effectiveness of IPM information diffusion from trained farmers to other farmers, an important assumption which underpins funding from development organizations. Here we developed an innovative approach through an agent-based model (ABM) combining social (diffusion theory) and biological (pest population dynamics) models to study the role of cooperation among small-scale farmers to share IPM information for controlling an invasive pest. The model was implemented with field data, including learning processes and control efficiency, from large scale surveys in the Ecuadorian Andes. Our results predict that although cooperation had short-term costs for individual farmers, it paid in the long run as it decreased pest infestation at the community scale. However, the slow learning process placed restrictions on the knowledge that could be generated within farmer communities over time, giving rise to natural lags in IPM diffusion and applications. We further showed that if individuals learn from others about the benefits of early prevention of new pests, then educational effort may have a sustainable long-run impact. Consistent with models of information diffusion theory, our results demonstrate how an integrated approach combining ecological and social systems would help better predict the success of IPM programs. This approach has potential beyond pest management as it could be applied to any resource management program seeking to spread innovations across populations.

  19. Modeling dynamic functional information flows on large-scale brain networks.

    Science.gov (United States)

    Lv, Peili; Guo, Lei; Hu, Xintao; Li, Xiang; Jin, Changfeng; Han, Junwei; Li, Lingjiang; Liu, Tianming

    2013-01-01

    Growing evidence from the functional neuroimaging field suggests that human brain functions are realized via dynamic functional interactions on large-scale structural networks. Even in resting state, functional brain networks exhibit remarkable temporal dynamics. However, it has been rarely explored to computationally model such dynamic functional information flows on large-scale brain networks. In this paper, we present a novel computational framework to explore this problem using multimodal resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI) data. Basically, recent literature reports including our own studies have demonstrated that the resting state brain networks dynamically undergo a set of distinct brain states. Within each quasi-stable state, functional information flows from one set of structural brain nodes to other sets of nodes, which is analogous to the message package routing on the Internet from the source node to the destination. Therefore, based on the large-scale structural brain networks constructed from DTI data, we employ a dynamic programming strategy to infer functional information transition routines on structural networks, based on which hub routers that most frequently participate in these routines are identified. It is interesting that a majority of those hub routers are located within the default mode network (DMN), revealing a possible mechanism of the critical functional hub roles played by the DMN in resting state. Also, application of this framework on a post trauma stress disorder (PTSD) dataset demonstrated interesting difference in hub router distributions between PTSD patients and healthy controls.

  20. Dynamics of Circadian Thalamocortical Flow of Information during a Peripheral Neuropathic Pain Condition.

    Science.gov (United States)

    Cardoso-Cruz, Helder; Sameshima, Koichi; Lima, Deolinda; Galhardo, Vasco

    2011-01-01

    It is known that the thalamocortical loop plays a crucial role in the encoding of sensory-discriminative features of painful stimuli. However, only a few studies have addressed the changes in thalamocortical dynamics that may occur after the onset of chronic pain. Our goal was to evaluate how the induction of chronic neuropathic pain affected the flow of information within the thalamocortical loop throughout the brain states of the sleep-wake cycle. To address this issue we recorded local field potentials (LFPs) - both before and after the establishment of neuropathic pain in awake freely moving adult rats chronically implanted with arrays of multielectrodes in the lateral thalamus and primary somatosensory cortex. Our results show that the neuropathic injury induced changes in the number of wake and slow-wave-sleep (SWS) state episodes, and especially in the total number of transitions between brain states. Moreover, partial directed coherence - analysis revealed that the amount of information flow between cortex and thalamus in neuropathic animals decreased significantly, indicating that the overall thalamic activity had less weight over the cortical activity. However, thalamocortical LFPs displayed higher phase-locking during awake and SWS episodes after the nerve lesion, suggesting faster transmission of relevant information along the thalamocortical loop. The observed changes are in agreement with the hypothesis of thalamic dysfunction after the onset of chronic pain, and may result from diminished inhibitory effect of the primary somatosensory cortex over the lateral thalamus.

  1. Dynamics of circadian thalamocortical flow of information during a peripheral neuropathic pain condition

    Directory of Open Access Journals (Sweden)

    Helder eCardoso-Cruz

    2011-08-01

    Full Text Available It is known that the thalamocortical loop plays a crucial role in the encoding of sensory-discriminative features of painful stimuli. However, only a few studies have addressed the changes in thalamocortical dynamics that may occur after the onset of chronic pain. Our goal was to evaluate how the induction of chronic neuropathic pain affected the flow of information within the thalamocortical loop throughout the brain states of the sleep-wake cycle. To address this issue we recorded local field potentials – LFPs – both before and after the establishment of neuropathic pain in awake freely moving adult rats chronically implanted with arrays of multielectrodes in the lateral thalamus and primary somatosensory cortex. Our results show that the neuropathic injury induced changes in the number of wake and slow-wave-sleep state episodes, and especially in the total number of transitions between brain states. Moreover, partial directed coherence – PDC – analysis revealed that the amount of information flow between cortex and thalamus in neuropathic animals decreased significantly, indicating that the overall thalamic activity had less weight over the cortical activity. However, thalamocortical LFPs displayed higher phase-locking during awake and slow-wave-sleep episodes after the nerve lesion, suggesting faster transmission of relevant information along the thalamocortical loop. The observed changes are in agreement with the hypothesis of thalamic dysfunction after the onset of chronic pain, and may result from diminished inhibitory effect of the primary somatosensory cortex over the lateral thalamus.

  2. Dynamics of Circadian Thalamocortical Flow of Information during a Peripheral Neuropathic Pain Condition

    Science.gov (United States)

    Cardoso-Cruz, Helder; Sameshima, Koichi; Lima, Deolinda; Galhardo, Vasco

    2011-01-01

    It is known that the thalamocortical loop plays a crucial role in the encoding of sensory–discriminative features of painful stimuli. However, only a few studies have addressed the changes in thalamocortical dynamics that may occur after the onset of chronic pain. Our goal was to evaluate how the induction of chronic neuropathic pain affected the flow of information within the thalamocortical loop throughout the brain states of the sleep–wake cycle. To address this issue we recorded local field potentials (LFPs) – both before and after the establishment of neuropathic pain in awake freely moving adult rats chronically implanted with arrays of multielectrodes in the lateral thalamus and primary somatosensory cortex. Our results show that the neuropathic injury induced changes in the number of wake and slow-wave-sleep (SWS) state episodes, and especially in the total number of transitions between brain states. Moreover, partial directed coherence – analysis revealed that the amount of information flow between cortex and thalamus in neuropathic animals decreased significantly, indicating that the overall thalamic activity had less weight over the cortical activity. However, thalamocortical LFPs displayed higher phase-locking during awake and SWS episodes after the nerve lesion, suggesting faster transmission of relevant information along the thalamocortical loop. The observed changes are in agreement with the hypothesis of thalamic dysfunction after the onset of chronic pain, and may result from diminished inhibitory effect of the primary somatosensory cortex over the lateral thalamus. PMID:22007162

  3. Cost-utility and value-of-information analysis of early versus delayed laparoscopic cholecystectomy for acute cholecystitis

    DEFF Research Database (Denmark)

    Wilson, E; Gurusamy, K; Gluud, C

    2010-01-01

    -of-information analysis estimated the likely return from further investment in research in this area. RESULTS:: ELC is less costly (approximately - pound820 per patient) and results in better quality of life (+0.05 QALYs per patient) than DLC. Given a willingness-to-pay threshold of pound20 000 per QALY gained......, there is a 70.9 per cent probability that ELC is cost effective compared with DLC. Full implementation of ELC could save the NHS pound8.5 million per annum. CONCLUSION:: The results of this decision analytic modelling study suggest that on average ELC is less expensive and results in better quality of life than...

  4. The incremental information content of earnings, working capital from operations, and cash flows

    Directory of Open Access Journals (Sweden)

    Simin Banifatemi Kashi

    2015-09-01

    Full Text Available This paper presents an empirical study to determine the effects of different factors including present profit, depreciation, working capital, operating cash flow and other accruals on future earnings stability. The study selects the information of 124 selected firms from Tehran Stock Exchange over the period 2006-2012. Using two regression analysis, the study has determined that as the fluctuation of profit increases, the profitability increases too. In addition, the study has concluded that firms with minimum fluctuations preserve more stable profitability. Moreover, firms with higher fluctuation in profitability maintain more volatile profitability for the next consecutive period.

  5. Analysis of information flows among individual companies in the KOSDAQ market

    Science.gov (United States)

    Kim, Ho-Yong; Oh, Gabjin

    2016-08-01

    In this paper, we employ the variance decomposition method to measure the strength and the direction of interconnections among companies in the KOSDAQ (Korean Securities Dealers Automated Quotation) stock market. We analyze the 200 companies listed on the KOSDAQ market from January 2001 to December 2015. We find that the systemic risk, measured by using the interconnections, increases substantially during periods of financial crisis such as the bankruptcy of Lehman brothers and the European financial crisis. In particular, we find that the increases in the aggregated information flows can be used to predict the increment of the market volatility that may occur during a sub-prime financial crisis period.

  6. Database Semantic Interoperability based on Information Flow Theory and Formal Concept Analysis

    Directory of Open Access Journals (Sweden)

    Guanghui Yang

    2012-07-01

    Full Text Available As databases become widely used, there is a growing need to translate information between multiple databases. Semantic interoperability and integration has been a long standing challenge for the database community and has now become a prominent area of database research. In this paper, we aim to answer the question how semantic interoperability between two databases can be achieved by using Formal Concept Analysis (FCA for short and Information Flow (IF for short theories. For our purposes, firstly we discover knowledge from different databases by using FCA, and then align what is discovered by using IF and FCA. The development of FCA has led to some software systems such as TOSCANA and TUPLEWARE, which can be used as a tool for discovering knowledge in databases. A prototype based on the IF and FCA has been developed. Our method is tested and verified by using this prototype and TUPLEWARE.

  7. A scenario-based study on information flow and collaboration patterns in disaster management.

    Science.gov (United States)

    Sagun, Aysu; Bouchlaghem, Dino; Anumba, Chimay J

    2009-04-01

    Disaster management (DM) is a continuous, highly collaborative process involving governments, DM organisations, responders, the construction sector, and the general public. Most research approaches to DM include the development of information and communication technologies (ICT) to support the collaboration process rather than the creation of a collaboration process to provide information flows and patterns. An Intelligent Disaster Collaboration System (IDCS) is introduced in this paper as a conceptual model to integrate ICT into DM and the mitigation process and to enhance collaboration. The framework is applicable to the collaboration process at the local, regional and national levels. Within this context, the deployment of ICT tools in DM is explored and scenario-based case studies on flooding and terrorism--examples of natural and human-induced disasters, respectively--are presented. Conclusions are drawn regarding the differences found in collaboration patterns and ICT used during natural and human-induced disasters and the differences between currently available ICT and proposed ICT.

  8. Rényi information flow in the Ising model with single-spin dynamics

    Science.gov (United States)

    Deng, Zehui; Wu, Jinshan; Guo, Wenan

    2014-12-01

    The n -index Rényi mutual information and transfer entropies for the two-dimensional kinetic Ising model with arbitrary single-spin dynamics in the thermodynamic limit are derived as functions of ensemble averages of observables and spin-flip probabilities. Cluster Monte Carlo algorithms with different dynamics from the single-spin dynamics are thus applicable to estimate the transfer entropies. By means of Monte Carlo simulations with the Wolff algorithm, we calculate the information flows in the Ising model with the Metropolis dynamics and the Glauber dynamics, respectively. We find that not only the global Rényi transfer entropy, but also the pairwise Rényi transfer entropy, peaks in the disorder phase.

  9. Research on data pre-deployment in information service flow of digital ocean cloud computing

    Institute of Scientific and Technical Information of China (English)

    SHI Suixiang; XU Lingyu; DONG Han; WANG Lei; WU Shaochun; QIAO Baiyou; WANG Guoren

    2014-01-01

    Data pre-deployment in the HDFS (Hadoop distributed file systems) is more complicated than that in tradi-tional file systems. There are many key issues need to be addressed, such as determining the target location of the data prefetching, the amount of data to be prefetched, the balance between data prefetching services and normal data accesses. Aiming to solve these problems, we employ the characteristics of digital ocean information service flows and propose a deployment scheme which combines input data prefetching with output data oriented storage strategies. The method achieves the parallelism of data preparation and data processing, thereby massively reducing I/O time cost of digital ocean cloud computing platforms when pro-cessing multi-source information synergistic tasks. The experimental results show that the scheme has a higher degree of parallelism than traditional Hadoop mechanisms, shortens the waiting time of a running service node, and significantly reduces data access conflicts.

  10. Social insect colony as a biological regulatory system: modelling information flow in dominance networks.

    Science.gov (United States)

    Nandi, Anjan K; Sumana, Annagiri; Bhattacharya, Kunal

    2014-12-06

    Social insects provide an excellent platform to investigate flow of information in regulatory systems since their successful social organization is essentially achieved by effective information transfer through complex connectivity patterns among the colony members. Network representation of such behavioural interactions offers a powerful tool for structural as well as dynamical analysis of the underlying regulatory systems. In this paper, we focus on the dominance interaction networks in the tropical social wasp Ropalidia marginata-a species where behavioural observations indicate that such interactions are principally responsible for the transfer of information between individuals about their colony needs, resulting in a regulation of their own activities. Our research reveals that the dominance networks of R. marginata are structurally similar to a class of naturally evolved information processing networks, a fact confirmed also by the predominance of a specific substructure-the 'feed-forward loop'-a key functional component in many other information transfer networks. The dynamical analysis through Boolean modelling confirms that the networks are sufficiently stable under small fluctuations and yet capable of more efficient information transfer compared to their randomized counterparts. Our results suggest the involvement of a common structural design principle in different biological regulatory systems and a possible similarity with respect to the effect of selection on the organization levels of such systems. The findings are also consistent with the hypothesis that dominance behaviour has been shaped by natural selection to co-opt the information transfer process in such social insect species, in addition to its primal function of mediation of reproductive competition in the colony.

  11. Is Investment-Cash Flow Sensitivity Caused by the Agency Costs or Asymmetric Information? Evidence from the UK

    NARCIS (Netherlands)

    Pawlina, G.; Renneboog, L.D.R.

    2005-01-01

    We investigate the investment-cash flow sensitivity of a large sample of the UK listed firms and confirm that investment is strongly cash flow-sensitive.Is this suboptimal investment policy the result of agency problems when managers with high discretion overinvest, or of asymmetric information when

  12. A Novel Method of Multi-Information Acquisition for Electromagnetic Flow Meters

    Directory of Open Access Journals (Sweden)

    Wenhua Cui

    2015-12-01

    Full Text Available In this paper, a novel method is proposed for multi-information acquisition from the electromagnetic flow meter, using magnetic excitation to measure the fluid velocity and electrochemistry impedance spectroscopy (EIS for both the fluid quality and the contamination level of the transducer. The impedance spectra of the transducer are measured with an additional electrical stimulus in series with the electrode measurement loop. The series connection mode instead of the parallel one improves the signal-to-noise ratio (SNR of the fluid velocity measurement and offers a wide range of impedance measurements by using a sample capacitance. In addition, a multi-frequency synchronous excitation source is synthesized based on the method of dual-base power sequences for fast EIS measurement. The conductivity measurements in the range of 1.7 μS/cm–2 mS/cm showed a relatively high accuracy with a measurement error of 5%, and the electrode adhesion detection on both with coating and no coating showed the ability of the qualitative determination of the electrode adhesion, which validated the feasibility of the multi-information acquisition method for the electromagnetic flow meter (EMFM.

  13. Measuring time-varying information flow in scalp EEG signals: orthogonalized partial directed coherence.

    Science.gov (United States)

    Omidvarnia, Amir; Azemi, Ghasem; Boashash, Boualem; O'Toole, John M; Colditz, Paul B; Vanhatalo, Sampsa

    2014-03-01

    This study aimed to develop a time-frequency method for measuring directional interactions over time and frequency from scalp-recorded electroencephalographic (EEG) signals in a way that is less affected by volume conduction and amplitude scaling. We modified the time-varying generalized partial directed coherence (tv-gPDC) method, by orthogonalization of the strictly causal multivariate autoregressive model coefficients, to minimize the effect of mutual sources. The novel measure, generalized orthogonalized PDC (gOPDC), was tested first using two simulated models with feature dimensions relevant to EEG activities. We then used the method for assessing event-related directional information flow from flash-evoked responses in neonatal EEG. For testing statistical significance of the findings, we followed a thresholding procedure driven by baseline periods in the same EEG activity. The results suggest that the gOPDC method 1) is able to remove common components akin to volume conduction effect in the scalp EEG, 2) handles the potential challenge with different amplitude scaling within multichannel signals, and 3) can detect directed information flow within a subsecond time scale in nonstationary multichannel EEG datasets. This method holds promise for estimating directed interactions between scalp EEG channels that are commonly affected by the confounding impact of mutual cortical sources.

  14. A Novel Method of Multi-Information Acquisition for Electromagnetic Flow Meters.

    Science.gov (United States)

    Cui, Wenhua; Li, Bin; Chen, Jie; Li, Xinwei

    2015-12-26

    In this paper, a novel method is proposed for multi-information acquisition from the electromagnetic flow meter, using magnetic excitation to measure the fluid velocity and electrochemistry impedance spectroscopy (EIS) for both the fluid quality and the contamination level of the transducer. The impedance spectra of the transducer are measured with an additional electrical stimulus in series with the electrode measurement loop. The series connection mode instead of the parallel one improves the signal-to-noise ratio (SNR) of the fluid velocity measurement and offers a wide range of impedance measurements by using a sample capacitance. In addition, a multi-frequency synchronous excitation source is synthesized based on the method of dual-base power sequences for fast EIS measurement. The conductivity measurements in the range of 1.7 μS/cm-2 mS/cm showed a relatively high accuracy with a measurement error of 5%, and the electrode adhesion detection on both with coating and no coating showed the ability of the qualitative determination of the electrode adhesion, which validated the feasibility of the multi-information acquisition method for the electromagnetic flow meter (EMFM).

  15. Information asymmetries and the value-relevance of cash flow and accounting figures: empirical analysis and implications for managerial accounting

    OpenAIRE

    Rapp, Marc Steffen

    2010-01-01

    While some of the modern performance measures used in managerial accounting rely on cash flow based figures others try to take advantage of the information content of accounting figures. However, whether the additional information content in the accrual components of earnings improves the internal performance measurement is an open empirical question. To shed light on this question, I examine the correlation between operating cash flows and earnings with firm's total shareholder returns. Usin...

  16. Development of Methods for Obtaining Position Image and Chemical Binding Information from Flow Experiments of Porous Media

    Energy Technology Data Exchange (ETDEWEB)

    Haugan, Are

    1998-12-01

    Existing oil reservoirs might be more fully exploited if the properties of the flow of oil and water in porous media were better known. In laboratory experiments it is important to collect as much information as possible to make a descriptive model of the system, including position imaging and chemical binding information. This thesis develops nuclear methods for obtaining position image and chemical binding information from flow experiments of porous media. A combined positron emission tomography and single photon emission computed tomography system to obtain position images, and a time-differential perturbed angular correlation system to obtain chemical binding information, have been built and thoroughly tested. 68 refs., 123 figs., 14 tabs.

  17. Delay model of multi-state flow for intersection timing signal control%多态交通条件下交叉口定时控制延误模型

    Institute of Scientific and Technical Information of China (English)

    丁恒; 陈无畏; 郑小燕; 马晓

    2012-01-01

    The delay is the essential evaluation index of intersection service level, and delay model plays an important role in intersection signal timing. In the condition of multi-state traffic flow, the existing delay models possess a large error. In order to adapt to the multi-sate flow, arriving headway data of intersection is fit based on the denseness of mixture Gamma distribution, and the probability of traffic flow arriving at intersection is calculated by means of fit probability function. Furthermore, the intersections are separated into two classes with traffic flow, low saturation and over saturation, and intersection timing control delay model on the traffic flow statistic probability is put forward. Finally, a reality intersection is presented as an example, and the result shows that the delay calculated by the model based on mixture Gamma distribution is close to practice.%延误是评价交叉口服务水平的基本指标,延误模型对交叉口信号控制方案的选择意义重大.在多态交通条件下,采用现有模型分析信号控制下交叉口延误程度存在较大误差.为适应交叉口交通流的多态性,基于混合Gamma分布稠密性,准确拟合交叉口到达车头时距数据.运用拟合概率函数,统计交叉口进口到达交通量概率.将交叉口按照到达交通量大小分为欠饱和、过饱和两种状态,根据统计概率提出交叉口信号定时控制延误模型.实例分析表明.基于混合Gamma分布的延误与实际结果更为吻合.

  18. Cortical information flow in Parkinson's disease: a composite network/field model

    Directory of Open Access Journals (Sweden)

    Cliff C. Kerr

    2013-04-01

    Full Text Available The basal ganglia play a crucial role in the execution of movements, as demonstrated by the severe motor deficits that accompany Parkinson's disease (PD. Since motor commands originate in the cortex, an important question is how the basal ganglia influence cortical information flow, and how this influence becomes pathological in PD. To explore this, we developed a composite neuronal network/neural field model. The network model consisted of 4950 spiking neurons, divided into 15 excitatory and inhibitory cell populations in the thalamus and cortex. The field model consisted of the cortex, thalamus, striatum, subthalamic nucleus, and globus pallidus. Both models have been separately validated in previous work. Three field models were used: one with basal ganglia parameters based on data from healthy individuals, one based on data from individuals with PD, and one purely thalamocortical model. Spikes generated by these field models were then used to drive the network model. Compared to the network driven by the healthy model, the PD-driven network had lower firing rates, a shift in spectral power towards lower frequencies, and higher probability of bursting; each of these findings is consistent with empirical data on PD. In the healthy model, we found strong Granger causality in the beta and low gamma bands between cortical layers, but this was largely absent in the PD model. In particular, the reduction in Granger causality from the main "input" layer of the cortex (layer 4 to the main "output" layer (layer 5 was pronounced. This may account for symptoms of PD that seem to reflect deficits in information flow, such as bradykinesia. In general, these results demonstrate that the brain's large-scale oscillatory environment, represented here by the field model, strongly influences the information processing that occurs within its subnetworks. Hence, it may be preferable to drive spiking network models with physiologically realistic inputs rather than

  19. Information Flow Control in the e- government System%电子政务系统中信息流的控制

    Institute of Scientific and Technical Information of China (English)

    段文国; 刘东苏; 刘云; 朱启坤

    2003-01-01

    The article focuses on the importance and the security problems of information flow in the e-government system. Some typical models of information flow control are discussed. Finally, the article proposes a model of information flow control based on Petri nets.

  20. Understanding the care.data conundrum: New information flows for economic growth

    Directory of Open Access Journals (Sweden)

    Paraskevas Vezyridis

    2017-01-01

    Full Text Available The analysis of data from electronic health records aspires to facilitate healthcare efficiencies and biomedical innovation. There are also ethical, legal and social implications from the handling of sensitive patient information. The paper explores the concerns, expectations and implications of the National Health Service (NHS England care.data programme: a national data sharing initiative of linked electronic health records for healthcare and other research purposes. Using Nissenbaum’s contextual integrity of privacy framework through a critical Science and Technology Studies (STS lens, it examines the way technologies and policies are developed to promote sustainability, governance and economic growth as the de facto social values, while reducing privacy to an individualistic preference. The state, acting as a new, central data broker reappropriates public ownership rights and establishes those information flows and transmission principles that facilitate the assetisation of NHS datasets for the knowledge economy. Various actors and processes from other contexts attempt to erode the public healthcare sector and privilege new information recipients. However, such data sharing initiatives in healthcare will be resisted if we continue to focus only on the monetary and scientific values of these datasets and keep ignoring their equally important social and ethical values.

  1. Information-Aided Smart Schemes for Vehicle Flow Detection Enhancements of Traffic Microwave Radar Detectors

    Directory of Open Access Journals (Sweden)

    Tan-Jan Ho

    2016-07-01

    Full Text Available For satisfactory traffic management of an intelligent transport system, it is vital that traffic microwave radar detectors (TMRDs can provide real-time traffic information with high accuracy. In this study, we develop several information-aided smart schemes for traffic detection improvements of TMRDs in multiple-lane environments. Specifically, we select appropriate thresholds not only for removing noise from fast Fourier transforms (FFTs of regional lane contexts but also for reducing FFT side lobes within each lane. The resulting FFTs of reflected vehicle signals and those of clutter are distinguishable. We exploit FFT and lane-/or time stamp-related information for developing smart schemes, which mitigate adverse effects of lane-crossing FFT side lobes of a vehicle signal. As such, the proposed schemes can enhance the detection accuracy of both lane vehicle flow and directional traffic volume. On-site experimental results demonstrate the advantages and feasibility of the proposed methods, and suggest the best smart scheme.

  2. Understanding the care.data conundrum: New information flows for economic growth

    Directory of Open Access Journals (Sweden)

    Paraskevas Vezyridis

    2017-01-01

    Full Text Available The analysis of data from electronic health records aspires to facilitate healthcare efficiencies and biomedical innovation. There are also ethical, legal and social implications from the handling of sensitive patient information. The paper explores the concerns, expectations and implications of the National Health Service (NHS England care.data programme: a national data sharing initiative of linked electronic health records for healthcare and other research purposes. Using Nissenbaum’s contextual integrity of privacy framework through a critical Science and Technology Studies (STS lens, it examines the way technologies and policies are developed to promote sustainability, governance and economic growth as the de facto social values, while reducing privacy to an individualistic preference. The state, acting as a new, central data broker reappropriates public ownership rights and establishes those information flows and transmission principles that facilitate the assetisation of NHS datasets for the knowledge economy. Various actors and processes from other contexts attempt to erode the public healthcare sector and privilege new information recipients. However, such data sharing initiatives in healthcare will be resisted if we continue to focus only on the monetary and scientific values of these datasets and keep ignoring their equally important social and ethical values.

  3. Research on the Food Safety Information Management System based on the Data Flow Technology

    Directory of Open Access Journals (Sweden)

    Zhang Yonghua

    2015-09-01

    Full Text Available Food is the paramount necessity of the people. Food is the material foundation of human survival and food safety is the most basic insurance. Food safety crisis management mechanism of local government has an important significance on deepening the theoretical research of food safety crisis management perfecting the food safety management function and management mechanism. This study conducted a deep research on the food security issues from public management crisis management theory, institutional economics and other theories; and based on the food security crisis management it carried a research on mechanism in order to put forward feasible policies and suggestions on food safety problem for local government. The food safety information management system based on data flow technology is also constructed in this study.

  4. Conditional entropies, phase synchronization and changes in the directionality of information flow in neural systems

    Science.gov (United States)

    Zochowski, Michal; Dzakpasu, Rhonda

    2004-03-01

    We devised a novel measure that dynamically evaluates temporal interdependences between two coupled units based on the properties of the distributions of their relative interevent intervals. We investigate its properties on the system of two coupled non-identical Rössler oscillators and a system of non-identical Hindmarsh-Rose models of thalamocortical neurons and show that the measure highlights the properties of phase synchronization observed in those two systems. We postulate that the observed properties of the phase lag, in conjunction with the experimentally observed activity-dependent synaptic modification in the neural systems, may drive the changes of the direction of information flow in a neural network, and thus the measure can play an important role in assessing those changes.

  5. Effect of optimal estimation of flux difference information on the lattice traffic flow model

    Science.gov (United States)

    Yang, Shu-hong; Li, Chun-gui; Tang, Xin-lai; Tian, Chuan

    2016-12-01

    In this paper, a new lattice model is proposed by considering the optimal estimation of flux difference information. The effect of this new consideration upon the stability of traffic flow is examined through linear stability analysis. Furthermore, a modified Korteweg-de Vries (mKdV) equation near the critical point is constructed and solved by means of nonlinear analysis method, and thus the propagation behavior of traffic jam can be described by the kink-antikink soliton solution of the mKdV equation. Numerical simulation is carried out under periodical condition with results in good agreement with theoretical analysis, therefore, it is verified that the new consideration can enhance the stability of traffic systems and suppress the emergence of traffic jams effectively.

  6. [A quantitative and qualitative study on effective information flow for infectious disease control in welfare facilities for the elderly].

    Science.gov (United States)

    Koshida, Mihoko; Inaoka, Yumiko; Iwatsuki, Masakazu; Okayama, Miho; Takehara, Megumi; Tomita, Yasuko; Hironaka, Megumi; Miwa, Satoshi; Sone, Tomofumi; Morita, Takae

    2004-12-01

    To clarify factors associated with effective information tranges among staff of welfare facilities for the elderly, and to propose measures for an appropriate information flow system in welfare facilities and public health centers, communication channels and methods, and encouraging factors and barriers were investigated in terms of a printed medium on the control and management of scabies infections. A self-administered questionnaire survey and an interview survey were conducted with the staff of welfare facilities for the elderly where "Control and management manual of scabies infection" had been distributed by the Tama-Tachikawa Public Health Center in Tokyo. A self-administered questionnaire was sent to managers and chief practitioners of 66 facilities. Respondents were obtained from 66 managers and chief practitioners (response rate: 84.8%), and 831 practitioners (response rate: 53.1%). The questionnaire consisted of 20 items for managers and 18 items for chief practitioners, including experience of scabies epidemics in facilities, training experience for the use of "Control and management manual of scabies infection," measures for information gathering, and current information flow within the facility. A semi-structured interview survey was conducted with the manager and/or chief practitioner and practitioners in five facilities. The number of respondents was 10. The interview questions included job description, scabies control measures, dissemination of the manual to the staff, use of the manual, flows of health-related information, and factors associated with information flows. Summarized codes were extracted from the transcriptions from tape recording and were categorized repeatedly according to similarity. In the questionnaire survey, differences of Community information flow by types of facilities and professional backgrounds were found. Variation was detected in measures for information gathering and focuses in information management between managers

  7. Balance between noise and information flow maximizes set complexity of network dynamics.

    Directory of Open Access Journals (Sweden)

    Tuomo Mäki-Marttunen

    Full Text Available Boolean networks have been used as a discrete model for several biological systems, including metabolic and genetic regulatory networks. Due to their simplicity they offer a firm foundation for generic studies of physical systems. In this work we show, using a measure of context-dependent information, set complexity, that prior to reaching an attractor, random Boolean networks pass through a transient state characterized by high complexity. We justify this finding with a use of another measure of complexity, namely, the statistical complexity. We show that the networks can be tuned to the regime of maximal complexity by adding a suitable amount of noise to the deterministic Boolean dynamics. In fact, we show that for networks with Poisson degree distributions, all networks ranging from subcritical to slightly supercritical can be tuned with noise to reach maximal set complexity in their dynamics. For networks with a fixed number of inputs this is true for near-to-critical networks. This increase in complexity is obtained at the expense of disruption in information flow. For a large ensemble of networks showing maximal complexity, there exists a balance between noise and contracting dynamics in the state space. In networks that are close to critical the intrinsic noise required for the tuning is smaller and thus also has the smallest effect in terms of the information processing in the system. Our results suggest that the maximization of complexity near to the state transition might be a more general phenomenon in physical systems, and that noise present in a system may in fact be useful in retaining the system in a state with high information content.

  8. Inferring network flows from incomplete information with application to natural gas flows. [State-to-state natural gas flows in 1974-77

    Energy Technology Data Exchange (ETDEWEB)

    Hooker, J.N.

    1980-02-01

    A method is detailed for estimating flows along arcs (edges or links) of a network, such as a transportation network, when the total outflow and total inflow at each node (vertex) are known. It proves the optimality of a greedy method of choosing flows for independent estimation so as to determine the other flows, and does so by exploiting an underlying matroid structure. The resulting problem is formulated both as a linear program and a multi-commodity flow problem, and sensitivity analysis is performed. The technique is applied to the estimation of US state-to-state natural gas flows in the years 1974 to 1977, and numerical results are presented; 1974 and 1975 results are checked against actual data. The potential application of the same technique to the estimation of disaggregate data (of any kind), when aggregate and some disaggregate data are known, is pointed out.

  9. Information flow on social networks: from empirical data to situation understanding

    Science.gov (United States)

    Roy, Heather; Abdelzaher, Tarek; Bowman, Elizabeth K.; Al Amin, Md. Tanvir

    2017-05-01

    This paper describes characteristics of information flow on social channels, as a function of content type and relations among individual sources, distilled from analysis of Twitter data as well as human subject survey results. The working hypothesis is that individuals who propagate content on social media act (e.g., decide whether to relay information or not) in accordance with their understanding of the content, as well as their own beliefs and trust relations. Hence, the resulting aggregate content propagation pattern encodes the collective content interpretation of the underlying group, as well as their relations. Analysis algorithms are described to recover such relations from the observed propagation patterns as well as improve our understanding of the content itself in a language agnostic manner simply from its propagation characteristics. An example is to measure the degree of community polarization around contentious topics, identify the factions involved, and recognize their individual views on issues. The analysis is independent of the language of discourse itself, making it valuable for multilingual media, where the number of languages used may render language-specific analysis less scalable.

  10. Water flows, energy demand, and market analysis of the informal water sector in Kisumu, Kenya.

    Science.gov (United States)

    Sima, Laura C; Kelner-Levine, Evan; Eckelman, Matthew J; McCarty, Kathleen M; Elimelech, Menachem

    2013-03-01

    In rapidly growing urban areas of developing countries, infrastructure has not been able to cope with population growth. Informal water businesses fulfill unmet water supply needs, yet little is understood about this sector. This paper presents data gathered from quantitative interviews with informal water business operators (n=260) in Kisumu, Kenya, collected during the dry season. Sales volume, location, resource use, and cost were analyzed by using material flow accounting and spatial analysis tools. Estimates show that over 76% of the city's water is consumed by less than 10% of the population who have water piped into their dwellings. The remainder of the population relies on a combination of water sources, including water purchased directly from kiosks (1.5 million m(3) per day) and delivered by hand-drawn water-carts (0.75 million m(3) per day). Energy audits were performed to compare energy use among various water sources in the city. Water delivery by truck is the highest per cubic meter energy demand (35 MJ/m(3)), while the city's tap water has the highest energy use overall (21,000 MJ/day). We group kiosks by neighborhood and compare sales volume and cost with neighborhood-level population data. Contrary to popular belief, we do not find evidence of price gouging; the lowest prices are charged in the highest-demand low-income area. We also see that the informal sector is sensitive to demand, as the number of private boreholes that serve as community water collection points are much larger where demand is greatest.

  11. The source of investment cash flow sensitivity in manufacturing firms: Is it asymmetric information or agency costs?

    Directory of Open Access Journals (Sweden)

    Daniel Makina

    2016-09-01

    Full Text Available In the literature, positive investment cash flow sensitivity is attributed to either asymmetric information induced financing constraints or the agency costs of free cash flow. Using data from a sample of 68 manufacturing firms listed on the South African JSE, this paper contributes to the literature by investigating the source of investment cash flow sensitivity. We have found that asymmetric information explains the positive investment cash flow sensitivity better than agency costs. Furthermore, asymmetric information has been observed to be more pronounced in low-dividend-paying firms and small firms. Despite South Africa’s having a developed financial system by international standards, small firms are seen to be financially constrained. We attribute the absence of investment cash flow sensitivity due to agency costs to good corporate governance of South African listed firms. Thus the paper provides further evidence in support of the proposition in the literature that the source of investment cash flow sensitivity may depend on the institutional setting of a country, such as its corporate governance.

  12. THE USE OF PROBLEM SOLVING MODEL IN THE MATERIAL OF THE GENETIC INFORMATION FLOW TO IMPROVE THE STUDENTS’ CONCEPT MASTERY

    Directory of Open Access Journals (Sweden)

    F. M. T. Supriyanti

    2015-04-01

    Full Text Available The purpose of this research was to determine the implementation of the IDEAL (Identify, Define, Explore, Anticipat and Act, Looking Back and Learn problem solving model of Bransford (1998 on the lecture material flow of genetic information, its influence on the mastery of conceps. The method uses quasi-experimental research with pretest-posttest nonequivalent control design. The results of the research show that : (1 the lecture model of problem solving IDEAL on the material flow of genetic information can implemented very well in each stage; (2 had a significant influence on student mastery of concepts; (3 in each of the indicators developed, the experimental class, it is known that the lectures with a problem-solving model of the flow of information on the subject of genetically high yield category on several indicators; (4 gives effect to the problem solving ability of students. 

  13. The effects of flow on schooling Devario aequipinnatus: school structure, startle response and information transmission

    OpenAIRE

    Chicoli, A.; Butail, S.; Lun, Y.; Bak-Coleman, J.; Coombs, S; Paley, D.A.

    2014-01-01

    To assess how flow affects school structure and threat detection, startle response rates of solitary and small groups of giant danio Devario aequipinnatus were compared to visual looming stimuli in flow and no-flow conditions. The instantaneous position and heading of each D. aequipinnatus were extracted from high-speed videos. Behavioural results indicate that (1) school structure is altered in flow such that D. aequipinnatus orient upstream while spanning out in a crosswise direction, (2) t...

  14. River flow forecasting with Artificial Neural Networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin

    Directory of Open Access Journals (Sweden)

    M. K. Akhtar

    2009-04-01

    Full Text Available This paper explores the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN models used for river flow forecasting. Spatially distributed precipitation is commonly required when modelling large basins, and it is usually incorporated in distributed physically-based hydrological modelling approaches. However, these modelling approaches are recognised to be quite complex and expensive, especially due to the data collection of multiple inputs and parameters, which vary in space and time. On the other hand, ANN models for flow forecasting are frequently developed only with precipitation and discharge as inputs, usually without taking into consideration the spatial variability of precipitation. Full inclusion of spatially distributed inputs into ANN models still leads to a complex computational process that may not give acceptable results. Therefore, here we present an analysis of the flow length and travel time as a basis for pre-processing remotely sensed (satellite rainfall data. This pre-processed rainfall is used together with local stream flow measurements of previous days as input to ANN models. The case study for this modelling approach is the Ganges river basin. A comparative analysis of multiple ANN models with different hydrological pre-processing is presented. The ANN showed its ability to forecast discharges 3-days ahead with an acceptable accuracy. Within this forecast horizon, the influence of the pre-processed rainfall is marginal, because of dominant influence of strongly auto-correlated discharge inputs. For forecast horizons of 7 to 10 days, the influence of the pre-processed rainfall is noticeable, although the overall model performance deteriorates. The incorporation of remote sensing data of spatially distributed precipitation information as pre-processing step showed to be a promising alternative for the setting-up of ANN models for

  15. Synchronizing time delay systems using variable delay in coupling

    Energy Technology Data Exchange (ETDEWEB)

    Ambika, G., E-mail: g.ambika@iiserpune.ac.in [Indian Institute of Science Education and Research, Pune 411 021 (India); Amritkar, R.E., E-mail: amritkar@prl.res.in [Physical Research Laboratory, Ahmedabad 380 009 (India)

    2011-11-15

    Highlights: > Delay and anticipation in coupling function varies with system dynamics. > Delay or anticipation of the synchronized state is independent of system delay. > Stability analysis developed is quite general. > We demonstrate enhanced security in communication. > Generalized synchronization possible over a wide range of parameter mismatch. - Abstract: We present a mechanism for synchronizing time delay systems using one way coupling with a variable delay in coupling that is reset at finite intervals. We present the analysis of the error dynamics that helps to isolate regions of stability of the synchronized state in the parameter space of interest for single and multiple delays. We supplement this by numerical simulations in a standard time delay system like Mackey Glass system. This method has the advantage that it can be adjusted to be delay or anticipatory in synchronization with a time which is independent of the system delay. We demonstrate the use of this method in communication using the bi channel scheme. We show that since the synchronizing channel carries information from transmitter only at intervals of reset time, it is not susceptible to an easy reconstruction.

  16. Applying Hybrid Heuristic Approach to Identify Contaminant Source Information in Transient Groundwater Flow Systems

    Directory of Open Access Journals (Sweden)

    Hund-Der Yeh

    2014-01-01

    Full Text Available Simultaneous identification of the source location and release history in aquifers is complicated and time-consuming if the release of groundwater contaminant source varies in time. This paper presents an approach called SATSO-GWT to solve complicated source release problems which contain the unknowns of three location coordinates and several irregular release periods and concentrations. The SATSO-GWT combines with ordinal optimization algorithm (OOA, roulette wheel approach, and a source identification algorithm called SATS-GWT. The SATS-GWT was developed based on simulated annealing, tabu search, and three-dimensional groundwater flow and solute transport model MD2K-GWT. The OOA and roulette wheel method are utilized mainly to reduce the size of feasible solution domain and accelerate the identification of the source information. A hypothetic site with one contaminant source location and two release periods is designed to assess the applicability of the present approach. The results indicate that the performance of SATSO-GWT is superior to that of SATS-GWT. In addition, the present approach works very effectively in dealing with the cases which have different initial guesses of source location and measurement errors in the monitoring points as well as problems with large suspicious areas and several source release periods and concentrations.

  17. End-to-end Information Flow Security Model for Software-Defined Networks

    Directory of Open Access Journals (Sweden)

    D. Ju. Chaly

    2015-01-01

    Full Text Available Software-defined networks (SDN are a novel paradigm of networking which became an enabler technology for many modern applications such as network virtualization, policy-based access control and many others. Software can provide flexibility and fast-paced innovations in the networking; however, it has a complex nature. In this connection there is an increasing necessity of means for assuring its correctness and security. Abstract models for SDN can tackle these challenges. This paper addresses to confidentiality and some integrity properties of SDNs. These are critical properties for multi-tenant SDN environments, since the network management software must ensure that no confidential data of one tenant are leaked to other tenants in spite of using the same physical infrastructure. We define a notion of end-to-end security in context of software-defined networks and propose a semantic model where the reasoning is possible about confidentiality, and we can check that confidential information flows do not interfere with non-confidential ones. We show that the model can be extended in order to reason about networks with secure and insecure links which can arise, for example, in wireless environments.The article is published in the authors’ wording.

  18. Integrated Microfluidic Membrane Transistor Utilizing Chemical Information for On-Chip Flow Control.

    Science.gov (United States)

    Frank, Philipp; Schreiter, Joerg; Haefner, Sebastian; Paschew, Georgi; Voigt, Andreas; Richter, Andreas

    2016-01-01

    Microfluidics is a great enabling technology for biology, biotechnology, chemistry and general life sciences. Despite many promising predictions of its progress, microfluidics has not reached its full potential yet. To unleash this potential, we propose the use of intrinsically active hydrogels, which work as sensors and actuators at the same time, in microfluidic channel networks. These materials transfer a chemical input signal such as a substance concentration into a mechanical output. This way chemical information is processed and analyzed on the spot without the need for an external control unit. Inspired by the development electronics, our approach focuses on the development of single transistor-like components, which have the potential to be used in an integrated circuit technology. Here, we present membrane isolated chemical volume phase transition transistor (MIS-CVPT). The device is characterized in terms of the flow rate from source to drain, depending on the chemical concentration in the control channel, the source-drain pressure drop and the operating temperature.

  19. Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

    CERN Document Server

    Teng, Xian; Morone, Flaviano; Makse, Hernán A

    2016-01-01

    Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a highly scalable method called "Collective Influence (CI)" has been put forward through collective influence maximization. In contrast to previous heuristic methods evaluating nodes' significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct "virtual" information spreading processes. Our consistent results demonstrate that the set of spreaders selected by CI indeed can induce larger scale of i...

  20. Structure and application of an interface program between a geographic-information system and a ground-water flow model

    Science.gov (United States)

    Van Metre, P.C.

    1990-01-01

    A computer-program interface between a geographic-information system and a groundwater flow model links two unrelated software systems for use in developing the flow models. The interface program allows the modeler to compile and manage geographic components of a groundwater model within the geographic information system. A significant savings of time and effort is realized in developing, calibrating, and displaying the groundwater flow model. Four major guidelines were followed in developing the interface program: (1) no changes to the groundwater flow model code were to be made; (2) a data structure was to be designed within the geographic information system that follows the same basic data structure as the groundwater flow model; (3) the interface program was to be flexible enough to support all basic data options available within the model; and (4) the interface program was to be as efficient as possible in terms of computer time used and online-storage space needed. Because some programs in the interface are written in control-program language, the interface will run only on a computer with the PRIMOS operating system. (USGS)

  1. Crafting a Usable Microkernel, Processor, and I/O System with Strict and Provable Information Flow Security

    Science.gov (United States)

    2011-01-01

    flow properties of embedded systems. Once the de- sign has been debugged using conventional tools, our abstraction and augmentation tools create a new de...www.lynuxworks.com/solutions/milaero/arinc-653. php . [2] Common criteria for information technology security evaluation. http

  2. H∞ State Feedback Delay-dependent Control for Discrete Systems with Multi-time-delay

    Institute of Scientific and Technical Information of China (English)

    Bai-Da Qu

    2005-01-01

    In this paper,H∞ state feedback control with delay information for discrete systems with multi-time-delay is discussed. Making use of linear matrix inequality (LMI) approach, a time-delay-dependent criterion for a discrete system with multi-time-delay to satisfy H∞ performance indices is induced, and then a strategy for H∞ state feedback control with delay values for plant with multi-time-delay is obtained. By solving corresponding LMI, a delay-dependent state feedback controller satisfying H∞ performance indices is designed. Finally, a simulation example demonstrates the validity of the proposed approach.

  3. Information flow in networks and the law of diminishing marginal returns: evidence from modeling and human electroencephalographic recordings.

    Directory of Open Access Journals (Sweden)

    Daniele Marinazzo

    Full Text Available We analyze simple dynamical network models which describe the limited capacity of nodes to process the input information. For a proper range of their parameters, the information flow pattern in these models is characterized by exponential distribution of the incoming information and a fat-tailed distribution of the outgoing information, as a signature of the law of diminishing marginal returns. We apply this analysis to effective connectivity networks from human EEG signals, obtained by Granger Causality, which has recently been given an interpretation in the framework of information theory. From the distributions of the incoming versus the outgoing values of the information flow it is evident that the incoming information is exponentially distributed whilst the outgoing information shows a fat tail. This suggests that overall brain effective connectivity networks may also be considered in the light of the law of diminishing marginal returns. Interestingly, this pattern is reproduced locally but with a clear modulation: a topographic analysis has also been made considering the distribution of incoming and outgoing values at each electrode, suggesting a functional role for this phenomenon.

  4. Mission informed needed information: discoverable, available sensing sources (MINI-DASS): the operators and process flows the magic rabbits must negotiate

    Science.gov (United States)

    Kolodny, Michael A.

    2017-05-01

    Today's battlefield space is extremely complex, dealing with an enemy that is neither well-defined nor well-understood. Adversaries are comprised of widely-distributed, loosely-networked groups engaging in nefarious activities. Situational understanding is needed by decision makers; understanding of adversarial capabilities and intent is essential. Information needed at any time is dependent on the mission/task at hand. Information sources potentially providing mission-relevant information are disparate and numerous; they include sensors, social networks, fusion engines, internet, etc. Management of these multi-dimensional informational sources is critical. This paper will present a new approach being undertaken to answer the challenge of enhancing battlefield understanding by optimizing the utilization of available informational sources (means) to required missions/tasks as well as determining the "goodness'" of the information acquired in meeting the capabilities needed. Requirements are usually expressed in terms of a presumed technology solution (e.g., imagery). A metaphor of the "magic rabbits" was conceived to remove presumed technology solutions from requirements by claiming the "required" technology is obsolete. Instead, intelligent "magic rabbits" are used to provide needed information. The question then becomes: "WHAT INFORMATION DO YOU NEED THE RABBITS TO PROVIDE YOU?" This paper will describe a new approach called Mission-Informed Needed Information - Discoverable, Available Sensing Sources (MINI-DASS) that designs a process that builds information acquisition missions and determines what the "magic rabbits" need to provide in a manner that is machine understandable. Also described is the Missions and Means Framework (MMF) model used, the process flow utilized, the approach to developing an ontology of information source means and the approach for determining the value of the information acquired.

  5. Functional connectivity and information flow of the respiratory neural network in chronic obstructive pulmonary disease.

    Science.gov (United States)

    Yu, Lianchun; De Mazancourt, Marine; Hess, Agathe; Ashadi, Fakhrul R; Klein, Isabelle; Mal, Hervé; Courbage, Maurice; Mangin, Laurence

    2016-08-01

    Breathing involves a complex interplay between the brainstem automatic network and cortical voluntary command. How these brain regions communicate at rest or during inspiratory loading is unknown. This issue is crucial for several reasons: (i) increased respiratory loading is a major feature of several respiratory diseases, (ii) failure of the voluntary motor and cortical sensory processing drives is among the mechanisms that precede acute respiratory failure, (iii) several cerebral structures involved in responding to inspiratory loading participate in the perception of dyspnea, a distressing symptom in many disease. We studied functional connectivity and Granger causality of the respiratory network in controls and patients with chronic obstructive pulmonary disease (COPD), at rest and during inspiratory loading. Compared with those of controls, the motor cortex area of patients exhibited decreased connectivity with their contralateral counterparts and no connectivity with the brainstem. In the patients, the information flow was reversed at rest with the source of the network shifted from the medulla towards the motor cortex. During inspiratory loading, the system was overwhelmed and the motor cortex became the sink of the network. This major finding may help to understand why some patients with COPD are prone to acute respiratory failure. Network connectivity and causality were related to lung function and illness severity. We validated our connectivity and causality results with a mathematical model of neural network. Our findings suggest a new therapeutic strategy involving the modulation of brain activity to increase motor cortex functional connectivity and improve respiratory muscles performance in patients. Hum Brain Mapp 37:2736-2754, 2016. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

  6. Relating diseases by integrating gene associations and information flow through protein interaction network.

    Science.gov (United States)

    Hamaneh, Mehdi Bagheri; Yu, Yi-Kuo

    2014-01-01

    Identifying similar diseases could potentially provide deeper understanding of their underlying causes, and may even hint at possible treatments. For this purpose, it is necessary to have a similarity measure that reflects the underpinning molecular interactions and biological pathways. We have thus devised a network-based measure that can partially fulfill this goal. Our method assigns weights to all proteins (and consequently their encoding genes) by using information flow from a disease to the protein interaction network and back. Similarity between two diseases is then defined as the cosine of the angle between their corresponding weight vectors. The proposed method also provides a way to suggest disease-pathway associations by using the weights assigned to the genes to perform enrichment analysis for each disease. By calculating pairwise similarities between 2534 diseases, we show that our disease similarity measure is strongly correlated with the probability of finding the diseases in the same disease family and, more importantly, sharing biological pathways. We have also compared our results to those of MimMiner, a text-mining method that assigns pairwise similarity scores to diseases. We find the results of the two methods to be complementary. It is also shown that clustering diseases based on their similarities and performing enrichment analysis for the cluster centers significantly increases the term association rate, suggesting that the cluster centers are better representatives for biological pathways than the diseases themselves. This lends support to the view that our similarity measure is a good indicator of relatedness of biological processes involved in causing the diseases. Although not needed for understanding this paper, the raw results are available for download for further study at ftp://ftp.ncbi.nlm.nih.gov/pub/qmbpmn/DiseaseRelations/.

  7. Circumventing Imprecise Geometric Information and Development of a Unified Modeling Technique for Various Flow Regimes in Capillary Tubes

    Science.gov (United States)

    Abbasi, Bahman

    2012-11-01

    Owing to their manufacturability and reliability, capillary tubes are the most common expansion devices in household refrigerators. Therefore, investigating flow properties in the capillary tubes is of immense appeal in the said business. The models to predict pressure drop in two-phase internal flows invariably rely upon highly precise geometric information. The manner in which capillary tubes are manufactured makes them highly susceptible to geometric imprecisions, which renders geometry-based models unreliable to the point of obsoleteness. Aware of the issue, manufacturers categorize capillary tubes based on Nitrogen flow rate through them. This categorization method presents an opportunity to substitute geometric details with Nitrogen flow data as the basis for customized models. The simulation tools developed by implementation of this technique have the singular advantage of being applicable across flow regimes. Thus the error-prone process of identifying compatible correlations is eliminated. Equally importantly, compressibility and chocking effects can be incorporated in the same model. The outcome is a standalone correlation that provides accurate predictions, regardless of any particular fluid or flow regime. Thereby, exploratory investigations for capillary tube design and optimization are greatly simplified. Bahman Abbasi, Ph.D., is Lead Advanced Systems Engineer at General Electric Appliances in Louisville, KY. He conducts research projects across disciplines in the household refrigeration industry.

  8. Delay-Dependent Observers for Uncertain Nonlinear Time-Delay Systems

    Directory of Open Access Journals (Sweden)

    Dongmei Yan

    2013-05-01

    Full Text Available This paper is concerned with the observer design problem for a class of discrete-time uncertain nonlinear systems with time-varying delay. The nonlinearities are assumed to satisfy global Lipschitz conditions which appear in both the state and measurement equations. The uncertainties are assumed to be time-varying but norm-bounded. Two Luenberger-like observers are proposed. One is delay observer and the other is delay-free observer. The delay observer which has an internal time delay is applicable when the time delay is known. The delay-free observer which does not use delayed information is especially applicable when the time delay is not known explicitly. Delay-dependent conditions for the existences of these two observers are derived based on Lyapunpv functional approach. Based on these conditions, the observer gains are obtained using the cone complementarity linearization algorithm. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

  9. Performance and robustness analysis of a fuzzy-immune flow controller in ATM networks with time-varying multiple time-delays

    Institute of Scientific and Technical Information of China (English)

    Tao REN; Zhenhua GAO; Weiming KONG; Yuanwei JING; Muyi YANG; Georgi M.DIMIROVSKI

    2008-01-01

    For the Asynchronous Transfer Mode(ATM)networks with time-varying multiple time-delays.a more realistic model for the available bit rate(ABR)traffic class with explicit rate feedback is introduced.A fuzzy-immune con.troller is designed,which can adjust the rates of ABR on-line,overcome the bad effect caused by the saturation nonlinearitv and satisfy the weighted fairness.Also,the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy'immune controller is presented in theory for the first time.The algorithm exhibits good performance,and most importantly,has a solid theoretical foundation and can be implemented in practice easily.Simulation results show that the control system is rapid,adaptive,robust,and meanwhile,the quality of service(QoS)is guaranteed.

  10. Research on non rigid registration algorithm of DCE-MRI based on mutual information and optical flow

    Science.gov (United States)

    Yu, Shihua; Wang, Rui; Wang, Kaiyu; Xi, Mengmeng; Zheng, Jiashuo; Liu, Hui

    2015-07-01

    Image matching plays a very important role in the field of medical image, while the two image registration methods based on the mutual information and the optical flow are very effective. The experimental results show that the two methods have their prominent advantages. The method based on mutual information is good for the overall displacement, while the method based on optical flow is very sensitive to small deformation. In the breast DCE-MRI images studied in this paper, there is not only overall deformation caused by the patient, but also non rigid small deformation caused by respiratory deformation. In view of the above situation, the single-image registration algorithms cannot meet the actual needs of complex situations. After a comprehensive analysis to the advantages and disadvantages of these two methods, this paper proposes a registration algorithm of combining mutual information with optical flow field, and applies subtraction images of the reference image and the floating image as the main criterion to evaluate the registration effect, at the same time, applies the mutual information between image sequence values as auxiliary criterion. With the test of the example, this algorithm has obtained a better accuracy and reliability in breast DCE-MRI image sequences.

  11. Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

    Science.gov (United States)

    Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

    2016-10-01

    Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community.

  12. Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

    Science.gov (United States)

    Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

    2016-01-01

    Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community. PMID:27782207

  13. Cellular automata models for diffusion of information and highway traffic flow

    Science.gov (United States)

    Fuks, Henryk

    In the first part of this work we study a family of deterministic models for highway traffic flow which generalize cellular automaton rule 184. This family is parameterized by the speed limit m and another parameter k that represents degree of 'anticipatory driving'. We compare two driving strategies with identical maximum throughput: 'conservative' driving with high speed limit and 'anticipatory' driving with low speed limit. Those two strategies are evaluated in terms of accident probability. We also discuss fundamental diagrams of generalized traffic rules and examine limitations of maximum achievable throughput. Possible modifications of the model are considered. For rule 184, we present exact calculations of the order parameter in a transition from the moving phase to the jammed phase using the method of preimage counting, and use this result to construct a solution to the density classification problem. In the second part we propose a probabilistic cellular automaton model for the spread of innovations, rumors, news, etc., in a social system. We start from simple deterministic models, for which exact expressions for the density of adopters are derived. For a more realistic model, based on probabilistic cellular automata, we study the influence of a range of interaction R on the shape of the adoption curve. When the probability of adoption is proportional to the local density of adopters, and individuals can drop the innovation with some probability p, the system exhibits a second order phase transition. Critical line separating regions of parameter space in which asymptotic density of adopters is positive from the region where it is equal to zero converges toward the mean-field line when the range of the interaction increases. In a region between R=1 critical line and the mean-field line asymptotic density of adopters depends on R, becoming zero if R is too small (smaller than some critical value). This result demonstrates the importance of connectivity in

  14. Time scales of autonomic information flow in near-term fetal sheep

    Directory of Open Access Journals (Sweden)

    Martin eFrasch

    2012-09-01

    Full Text Available Autonomic information flow (AIF characterizes fetal heart rate (FHR variability (fHRV in the time scale dependent complexity domain and discriminates sleep states (high voltage/low frequency (HV/LF and low voltage/high frequency (LV/HF electrocortical activity. However, the physiologic relationship of AIF time scales to the underlying sympathetic and vagal rhythms is not known. Understanding this relationship will enhance the benefits derived from using fHRV to monitor fetal health non-invasively. We analyzed AIF measured as Kullback-Leibler entropy in fetal sheep in late gestation as function of vagal and sympathetic modulation of fHRV, using atropine and propranolol respectively (n=6, and also analyzed changes in fHRV during sleep states (n=12. Atropine blockade resulted in complexity decrease at 2.5 Hz compared to baseline HV/LF and LV/HF states and at 1.6 Hz compared to LV/HF. Propranolol blockade resulted in complexity increase in the 0.8-1 Hz range compared to LV/HF and in no changes when compared to HV/LF. During LV/HF state activity, fHRV complexity was lower at 2.5 Hz and higher at 0.15-0.19 Hz than during HV/LF. Our findings show that in mature fetuses near term vagal activity contributes to fHRV complexity on a wider range of time scales than sympathetic activity. Related to sleep, during LV/HF we found lower complexity at short-term time scale where complexity is also decreased due to vagal blockade. We conclude that vagal and sympathetic modulations of fHRV show sleep state-dependent and time scale-dependent complexity patterns captured by AIF analysis of fHRV. Specifically, we observed a vagally mediated and sleep state-dependent change in these patterns at a time scale around 2.5 Hz (0.2 seconds. A paradigm of state-dependent nonlinear sympathovagal modulation of fHRV is discussed.

  15. Information Flow among Supply Chain Organizations%供应链组织间的信息流研究

    Institute of Scientific and Technical Information of China (English)

    奚雷; 韦文联; 郝赟; 杨萍

    2014-01-01

    信息共享在供应链中可以快速响应顾客需求,有效降低“不确定性”,增强市场预测的可靠性和体现最大化信息价值等。供应链管理中的信息流控制有3种模式:分散控制、集中控制及综合协调控制。信息传递模式则有4种:传统的链式信息传递模式、链式跨级信息传递模式、网络型信息传递模式和集成式信息传递模式。供应链节点企业要做到有效共享和运用信息流,须转变观念,提高信息流重要性认识;增强互信,提高信息共享水平;选择恰当的信息传递模式;设立信息主管(CIO)。%Information sharing can quickly respond to customer demand in supply chain, effectively reduce uncertainty, enhance the reliability of market forecasting and reflect the importance of maximized value of information .Three information flow controls in supply chain management include decentralized control, centralized control and comprehensive coordination control; Modes of intelligence transmission include traditional chained information transfer ,chained skip-level information transfer ,network-based information transfer and integrated information transfer. In view of this, it is important to study how enterprises inside a supply chain effectively share and utilize information flow. It is recommended that ideas should be changed to recognize the importance of information flow, mutual trust should be enhanced to improve information sharing, the proper information transfer mode should be taken and chief information officer should be established.

  16. Perception of GMOs by scientists and practitioners--the critical role of information flow about transgenic organisms.

    Science.gov (United States)

    Małyska, Aleksandra; Maciąg, Kamil; Twardowski, Tomasz

    2014-03-25

    The issue of GMOs arouses constantly strong emotions in public discourse. At the same time opinions of people particularly interested in this issues such as researchers, or potential users of this technology (e.g. farmers) are rarely subjected to analysis. Moreover, lack of knowledge about the flow of information "from the laboratory to the consumer" hinders implementation of any changes in this field. By using triangulation (combining quantitative and qualitative research and the use of various research tools) we explored the attitudes of Polish scientists, agricultural advisers and farmers (large scale agricultural producers) to the use of GMOs in the economy. On the basis of the performed research we diagnosed the effectiveness of information flow among these groups about transgenic organisms. Copyright © 2013 Elsevier B.V. All rights reserved.

  17. Qualitative and quantitative information flow analysis for multi-thread programs

    NARCIS (Netherlands)

    Ngo, Tri Minh

    2014-01-01

    In today's information-based society, guaranteeing information security plays an important role in all aspects of life: communication between citizens and governments, military, companies, financial information systems, web-based services etc. With the increasing popularity of computer systems with

  18. ASIST 2001. Information in a Networked World: Harnessing the Flow. Part II: SIG and Panel Sessions.

    Science.gov (United States)

    Proceedings of the ASIST Annual Meeting, 2001

    2001-01-01

    Abstracts and descriptions of Special Interest Group (SIG) and Panel Sessions include such topics as: knowledge management; information networks; courseware; accreditation; Web site design; information retrieval and processing; digital imaging; electronic journals; human computer interaction; digital libraries; digital divide; information science;…

  19. Delayed childbearing.

    Science.gov (United States)

    Francis, H H

    1985-06-01

    In many Western nations, including England and Wales, Sweden, and the US, there is a current trend towards delayed childbearing because of women's pursuit of a career, later marriage, a longer interval between marriage and the 1st birth, and the increasing number of divorcees having children in a 2nd marriage. Wives of men in social classes I and II in England and Wales are, on average, having their 1st child at 27.9 years, 1.6 years later than in 1973, and in social classes IV and V, 1.0 years later than in 1973, at a mean age of 23.7 years. Consequently, the total period fertility rate for British women aged 30-34 years, 35-39 years, and 40 and over increased by 4%, 2%, and 4%, respectively, between 1982-83, in contrast to reductions of 2% and 3%, respectively, in the 15-19 year and 20-24 year age groups, with the 25-29-year-olds remaining static. The average maternal mortality for all parties in England and Wales during 1976-78 was 106/million for adolescents, 70.4/million for 20-24 year-olds, and 1162/million for those aged 40 years and older. The specific obstetric and allied conditions which increase with age are the hypertensive diseases of pregnancy, hemorrhage, pulmonary embolism, abortion, cardiac disease, caesarean section, ruptured uterus, and amniotic fluid embolism. The Swedish Medical Birth Registry of all live births and perinatal deaths since 1973 has shown that the risk of late fetal death is significantly greater in women aged 30-39 years than in those of the same parity and gravidity aged 20-24 years. The risk of giving birth to low birth weight babies preterm and at term and of premature labor are similarly increased. The early neonatal death rate also was increased for primigravidas and nulliparas in the 30-39 year age group but not in parous women. This is, in part, due to the rise in incidence of fetal abnormalities with advancing maternal age because of chromosomal and nonchromosomal anomalies. These also appear to be the cause of the

  20. Delayed energy injection model for gamma-ray burst afterglows

    Energy Technology Data Exchange (ETDEWEB)

    Geng, J. J.; Huang, Y. F.; Yu, Y. B. [Department of Astronomy, Nanjing University, Nanjing 210093 (China); Wu, X. F., E-mail: hyf@nju.edu.cn, E-mail: xfwu@pmo.ac.cn [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008 (China)

    2013-12-10

    The shallow decay phase and flares in the afterglows of gamma-ray bursts (GRBs) are widely believed to be associated with the later activation of the central engine. Some models of energy injection involve a continuous energy flow since the GRB trigger time, such as the magnetic dipole radiation from a magnetar. However, in the scenario involving a black hole accretion system, the energy flow from the fall-back accretion may be delayed for a fall-back time ∼t {sub fb}. Thus, we propose a delayed energy injection model. The delayed energy would cause a notable rise to the Lorentz factor of the external shock, which will 'generate' a bump in the multiple band afterglows. If the delayed time is very short, our model degenerates to the previous models. Our model can explain the significant re-brightening in the optical and infrared light curves of GRB 081029 and GRB 100621A. A considerable fall-back mass is needed to provide the later energy; this indicates that GRBs accompanied with fall-back material may be associated with a low energy supernova so that the fraction of the envelope can survive during eruption. The fall-back time can give meaningful information on the properties of GRB progenitor stars.

  1. Experimental resource pulses influence social-network dynamics and the potential for information flow in tool-using crows.

    Science.gov (United States)

    St Clair, James J H; Burns, Zackory T; Bettaney, Elaine M; Morrissey, Michael B; Otis, Brian; Ryder, Thomas B; Fleischer, Robert C; James, Richard; Rutz, Christian

    2015-01-01

    Social-network dynamics have profound consequences for biological processes such as information flow, but are notoriously difficult to measure in the wild. We used novel transceiver technology to chart association patterns across 19 days in a wild population of the New Caledonian crow--a tool-using species that may socially learn, and culturally accumulate, tool-related information. To examine the causes and consequences of changing network topology, we manipulated the environmental availability of the crows' preferred tool-extracted prey, and simulated, in silico, the diffusion of information across field-recorded time-ordered networks. Here we show that network structure responds quickly to environmental change and that novel information can potentially spread rapidly within multi-family communities, especially when tool-use opportunities are plentiful. At the same time, we report surprisingly limited social contact between neighbouring crow communities. Such scale dependence in information-flow dynamics is likely to influence the evolution and maintenance of material cultures.

  2. Information Transmission System and Delay Analysis based on Movement Authority%基于移动授权的信息发布系统及时延分析

    Institute of Scientific and Technical Information of China (English)

    刘伯鸿

    2015-01-01

    In the communication based train control (CBTC) system, information transmission has mainly with correspondence communication network. The delay characteristics of the movement authority transmission network are the key factors which affect the system performance. With the introduction of CBTC movement authority information transmission system, the paper focuses on analysis of delay and uncertainty, the CBTC system processing technology with delay characteristics.%在基于通信的列车控制(CBTC)系统中,信息传输通道基本以通信网络为主,移动授权的传输网络时延特性是影响系统性能的关键因素。在介绍CBTC移动授权的信息发布系统基础上,重点分析了时延的构成和不确定性,结合时延特性分析了CBTC系统处理技术。

  3. Delay Banking for Managing Air Traffic

    Science.gov (United States)

    Green, Steve

    2008-01-01

    Delay banking has been invented to enhance air-traffic management in a way that would increase the degree of fairness in assigning arrival, departure, and en-route delays and trajectory deviations to aircraft impacted by congestion in the national airspace system. In delay banking, an aircraft operator (airline, military, general aviation, etc.) would be assigned a numerical credit when any of their flights are delayed because of an air-traffic flow restriction. The operator could subsequently bid against other operators competing for access to congested airspace to utilize part or all of its accumulated credit. Operators utilize credits to obtain higher priority for the same flight, or other flights operating at the same time, or later, in the same airspace, or elsewhere. Operators could also trade delay credits, according to market rules that would be determined by stakeholders in the national airspace system. Delay banking would be administered by an independent third party who would use delay banking automation to continually monitor flights, allocate delay credits, maintain accounts of delay credits for participating airlines, mediate bidding and the consumption of credits of winning bidders, analyze potential transfers of credits within and between operators, implement accepted transfers, and ensure fair treatment of all participating operators. A flow restriction can manifest itself in the form of a delay in assigned takeoff time, a reduction in assigned airspeed, a change in the position for the aircraft in a queue of all aircraft in a common stream of traffic (e.g., similar route), a change in the planned altitude profile for an aircraft, or change in the planned route for the aircraft. Flow restrictions are typically imposed to mitigate traffic congestion at an airport or in a region of airspace, particularly congestion due to inclement weather, or the unavailability of a runway or region of airspace. A delay credit would be allocated to an operator of a

  4. Delay Variation Model with Two Service Queues

    Directory of Open Access Journals (Sweden)

    Filip Rezac

    2010-01-01

    Full Text Available Delay in VoIP technology is very unpleasant issue and therefore a voice packets prioritization must be ensured. To maintain the high call quality a maximum information delivery time from the sender to the recipient is set to 150 ms. This paper focuses on the design of a mathematical model of end-to-end delay of a VoIP connection, in particular on a delay variation. It describes all partial delay components and mechanisms, their generation, facilities and mathematical formulations. A new approach to the delay variation model is presented and its validation has been done by experimention.

  5. Cerebral blood flow and oxygenation in infants after birth asphyxia. Clinically useful information?

    DEFF Research Database (Denmark)

    Greisen, Gorm

    2014-01-01

    perfusion and lack of normal cerebral blood flow regulation are also typically present, but whether the perfusion abnormalities at this secondary stage are detrimental, beneficial, or a mere epiphenomenon remains elusive. In contrast, incomplete reoxygenation of the brain during and following resuscitation...

  6. The Effects of Flow on Learning Outcomes in an Online Information Management Course

    Science.gov (United States)

    Rossin, Don; Ro, Young K.; Klein, Barbara D.; Guo, Yi Maggie

    2009-01-01

    As online courses and programs expand in business schools, it becomes increasingly important to understand the link between students' experiences in these courses and learning outcomes. The study reported here investigates the relationship between students' experiences of flow, a psychological state generally associated with improved task…

  7. The Substitution of a Super Black Fixed Micro-Object for an Optical Microcavity in a Delayed Choice Experiment to Send Information Immediately Between 2 Paired Particles: Simplifying the Experiment

    Science.gov (United States)

    Snyder, Douglas

    2015-04-01

    An experiment has been described that relies on a delayed choice for an idler photon that immediately affects the signal photon with which it is at least initially entangled and for which the idler photon provides which-way information. The delayed choice concerns whether to maintain or eliminate the entanglement before any measurements are made. In one option of the delayed choice, the entanglement can be eliminated because the relevant state of the idler photon related to its entanglement is eliminated when the idler photon enters an optical microcavity filled with photons with the same mode as the incoming idler photon. The microcavity is located at the crossroads of two possible idler photon paths. The relevant state of the idler photon characterizes the particular path taken by the photon and this information is eliminated when the particle enters the cavity. Over a number of runs with this choice, the distribution of the paired signal photons shows interference. If the entanglement is maintained, the distribution of the paired signal photons shows which-way information. This experiment can be simplified by using a super black material (e.g., Vantablack) affixed to a fixed micro-object located at the crossroads of the two possible idler photon paths instead of the optical microcavity. The photon would be absorbed by the material and there would be no way to detect from which direction it came. Objects such as fixed mirrors in a Mach Zehnder interferometer do not provide ww information. The super black fixed micro-object should not either.

  8. Low-complexity wireless communication modeling for information flow control in sensor networks

    NARCIS (Netherlands)

    Foeken, E. van; Kwakkernaat, M.R.J.A.E.

    2011-01-01

    The increasing demand for shared awareness in multi-platform sensor systems requires advanced wireless information sharing techniques. The analysis of these techniques requires information about communication resources and latency to be available in models. The work presented here introduces generic

  9. Low-complexity wireless communication modeling for information flow control in sensor networks

    NARCIS (Netherlands)

    Foeken, E. van; Kwakkernaat, M.R.J.A.E.

    2011-01-01

    The increasing demand for shared awareness in multi-platform sensor systems requires advanced wireless information sharing techniques. The analysis of these techniques requires information about communication resources and latency to be available in models. The work presented here introduces generic

  10. Information flow in agriculture – through new channels for improved effectiveness

    Directory of Open Access Journals (Sweden)

    Mihály Csótó

    2010-11-01

    Full Text Available Agriculture has undergone significant changes since the industrial revolution. The industrial age and the market economy have moulded agriculture in their image just as much as the characteristics and tools of the information age have recently been transforming its previous operation. Information and communication technology (ICTtake-up in agriculture remains low, and the reasons behind this barely changed in the last 20-30 years. Information technologies are regarded as mediating channels and a vehicle for new services. It is important to research the various aspects of adoption of newinformation technology, and also not only the use, but the “effective use” of it (Gurstein,2003. Information-intensive agriculture is fundamentally determined by information, knowledge and the decision-making farmers, in effect the human factor; therefore, studies aimed at the improvement of the situation of agriculture with ICT tools must be centred on the human element.

  11. Optimizing information flow in small genetic networks. II. Feed-forward interactions.

    Science.gov (United States)

    Walczak, Aleksandra M; Tkacik, Gasper; Bialek, William

    2010-04-01

    Central to the functioning of a living cell is its ability to control the readout or expression of information encoded in the genome. In many cases, a single transcription factor protein activates or represses the expression of many genes. As the concentration of the transcription factor varies, the target genes thus undergo correlated changes, and this redundancy limits the ability of the cell to transmit information about input signals. We explore how interactions among the target genes can reduce this redundancy and optimize information transmission. Our discussion builds on recent work [Tkacik, Phys. Rev. E 80, 031920 (2009)], and there are connections to much earlier work on the role of lateral inhibition in enhancing the efficiency of information transmission in neural circuits; for simplicity we consider here the case where the interactions have a feed forward structure, with no loops. Even with this limitation, the networks that optimize information transmission have a structure reminiscent of the networks found in real biological systems.

  12. Fundamental trade-offs between information flow in single cells and cellular populations.

    Science.gov (United States)

    Suderman, Ryan; Bachman, John A; Smith, Adam; Sorger, Peter K; Deeds, Eric J

    2017-05-30

    Signal transduction networks allow eukaryotic cells to make decisions based on information about intracellular state and the environment. Biochemical noise significantly diminishes the fidelity of signaling: networks examined to date seem to transmit less than 1 bit of information. It is unclear how networks that control critical cell-fate decisions (e.g., cell division and apoptosis) can function with such low levels of information transfer. Here, we use theory, experiments, and numerical analysis to demonstrate an inherent trade-off between the information transferred in individual cells and the information available to control population-level responses. Noise in receptor-mediated apoptosis reduces information transfer to approximately 1 bit at the single-cell level but allows 3-4 bits of information to be transmitted at the population level. For processes such as eukaryotic chemotaxis, in which single cells are the functional unit, we find high levels of information transmission at a single-cell level. Thus, low levels of information transfer are unlikely to represent a physical limit. Instead, we propose that signaling networks exploit noise at the single-cell level to increase population-level information transfer, allowing extracellular ligands, whose levels are also subject to noise, to incrementally regulate phenotypic changes. This is particularly critical for discrete changes in fate (e.g., life vs. death) for which the key variable is the fraction of cells engaged. Our findings provide a framework for rationalizing the high levels of noise in metazoan signaling networks and have implications for the development of drugs that target these networks in the treatment of cancer and other diseases.

  13. An information system for sustainable materials management with material flow accounting and waste input–output analysis

    Directory of Open Access Journals (Sweden)

    Pi-Cheng Chen

    2017-05-01

    Full Text Available Sustainable materials management focuses on the dynamics of materials in economic and environmental activities to optimize material use efficiency and reduce environmental impact. A preliminary web-based information system is thus developed to analyze the issues of resource consumption and waste generation, enabling countries to manage resources and wastes from a life cycle perspective. This pioneering system features a four-layer framework that integrates information on physical flows and economic activities with material flow accounting and waste input–output table analysis. Within this framework, several applications were developed for different waste and resource management stakeholders. The hierarchical and interactive dashboards allow convenient overview of economy-wide material accounts, waste streams, and secondary resource circulation. Furthermore, the system can trace material flows through associated production supply chain and consumption activities. Integrated with economic models; this system can predict the possible overloading on the current waste management facility capacities and provide decision support for designing strategies to approach resource sustainability. The limitations of current system are specified for directing further enhancement of functionalities.

  14. THE DEVELOPMENT OF MATERIAL FLOW INFORMATION BASE OF MANAGEMENT AND ACCOUNTING IN THE CONSTRUCTION INDUSTRY

    Directory of Open Access Journals (Sweden)

    Degaltseva Z. V.

    2015-10-01

    Full Text Available This article discusses the problems of using indicators of material flow in the financial accounting management accounting system. The authors have created and described the classification of material costs in building units. It allows solving the problems of object of research specifying within a given material flow and inventory control within a given logistics systems. There are different approaches to the valuation of material costs in the article. An important aspect of measures for the integration development of accounting systems is the adoption of uniform valuation of building materials and structures. It is proved that the most rational combination of these types of records achieved by an adapted classification and measurement of building materials and structures to the conditions of formation of the budget for the project volume of construction works and the reflection of the actual volume of work in the financial accounting system. On the basis of the accounting policies and the organizational structure of the object of investigation of "Kubanstroykompleks" we have identified responsibility centers (sites for costs related to the material flow: Department of logistics and packaging and warehousing, which consists of a central and railroad warehouse

  15. Dynamics of Nonlinear Time-Delay Systems

    CERN Document Server

    Lakshmanan, Muthusamy

    2010-01-01

    Synchronization of chaotic systems, a patently nonlinear phenomenon, has emerged as a highly active interdisciplinary research topic at the interface of physics, biology, applied mathematics and engineering sciences. In this connection, time-delay systems described by delay differential equations have developed as particularly suitable tools for modeling specific dynamical systems. Indeed, time-delay is ubiquitous in many physical systems, for example due to finite switching speeds of amplifiers in electronic circuits, finite lengths of vehicles in traffic flows, finite signal propagation times in biological networks and circuits, and quite generally whenever memory effects are relevant. This monograph presents the basics of chaotic time-delay systems and their synchronization with an emphasis on the effects of time-delay feedback which give rise to new collective dynamics. Special attention is devoted to scalar chaotic/hyperchaotic time-delay systems, and some higher order models, occurring in different bran...

  16. Vehicle Delay Estimation for an Isolated Intersection under Actuated Signal Control

    Directory of Open Access Journals (Sweden)

    Shumin Feng

    2014-01-01

    Full Text Available Vehicle delay at an actuated signal control (ASC intersection is analyzed and computed with the aim of reflecting the effects of ASC and optimizing its parameters. The operation characteristics of traffic flows at the intersections serve as the foundation to present the mechanism of vehicle delay under the ASC; given that the arrival of vehicles obeys the Poisson distribution, probability algorithms of vehicle delay are put forward under the semi-ASC and fully ASC depending on discretization of green time. Computation process is illustrated by case study and CORSIM simulation experiments. Finally, the primary results indicate that the appropriate control modes can decrease vehicle delay, which is significantly affected by unit extension. Hopefully, the study will provide useful information for selecting different ASC modes and optimizing signal control parameters.

  17. Macrocognition in Teams and Analysis of Information Flow During the Haiti Disaster Relief

    Science.gov (United States)

    2011-06-01

    TIE Is the United Nations new information portal for coordinating the U.N. cluster system IIG IIG IIG 1. What is OneResponse? IIG IIG IIG...challenges. TIE TKS TIE The global institute for disruptive events (GIDE) is supporting epidemic situational awareness (Operational Biosurveillance ) for...Docycycline and Mefloquine. TIE TIE TIE 90 Information can be followed at the Haiti Operational Biosurveillance website address. TIE TIE TIE From

  18. ICT Based Information Flows and Supply Chain in Integrating Academic Business Process

    Directory of Open Access Journals (Sweden)

    Dwi Sulisworo

    2012-01-01

    Full Text Available Organizations' viability is a complex issue, owing to the high number of factors that affect it. In recent years, they have made increasing use of systems thinking, which has proved useful by helping them to a better understanding of problems arising in complex situations, and by providing them with a set of tools suitable for dealing with such problems. The implication is the higher education institutions has been facing the more complex situation that should be considered on giving better education service; including Ahmad Dahlan University (ADU. This paper attempts to show how the new communication and information technologies and the internet in particular can help in the design of viable organizations especially at ADU. The paper presents and describes the management information system named SIA (Sistem Informasi Akademik/ Academic Information System based on internet technology, created for the purpose as mentioned above. This system covers almost the value chain of academic business process from student enrollment to student graduation. This information system can be accessed by all relevant internal stakeholders with some level of authority. Communication and information technologies enable the university to help in the design of viable organizations by means of internet-based information system. The satisfaction of student service has increased as an implication of customer oriented framework because of less bureaucracy, reducing time response of some services, and increasing accurate decision.

  19. Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI.

    Science.gov (United States)

    Stramaglia, Sebastiano; Angelini, Leonardo; Wu, Guorong; Cortes, Jesus M; Faes, Luca; Marinazzo, Daniele

    2016-04-28

    We develop a framework for the analysis of synergy and redundancy in the pattern of information flow between subsystems of a complex network. The presence of redundancy and/or synergy in multivariate time series data renders difficult to estimate the neat flow of information from each driver variable to a given target. We show that adopting an unnormalized definition of Granger causality one may put in evidence redundant multiplets of variables influencing the target by maximizing the total Granger causality to a given target, over all the possible partitions of the set of driving variables. Consequently we introduce a pairwise index of synergy which is zero when two independent sources additively influence the future state of the system, differently from previous definitions of synergy. We report the application of the proposed approach to resting state fMRI data from the Human Connectome Project, showing that redundant pairs of regions arise mainly due to space contiguity and interhemispheric symmetry, whilst synergy occurs mainly between non-homologous pairs of regions in opposite hemispheres. Redundancy and synergy, in healthy resting brains, display characteristic patterns, revealed by the proposed approach. The pairwise synergy index, here introduced, maps the informational character of the system at hand into a weighted complex network: the same approach can be applied to other complex systems whose normal state corresponds to a balance between redundant and synergetic circuits.

  20. Benefits of Early Versus Delayed Palliative Care to Informal Family Caregivers of Patients With Advanced Cancer: Outcomes From the ENABLE III Randomized Controlled Trial.

    Science.gov (United States)

    Dionne-Odom, J Nicholas; Azuero, Andres; Lyons, Kathleen D; Hull, Jay G; Tosteson, Tor; Li, Zhigang; Li, Zhongze; Frost, Jennifer; Dragnev, Konstantin H; Akyar, Imatullah; Hegel, Mark T; Bakitas, Marie A

    2015-05-01

    To determine the effect of early versus delayed initiation of a palliative care intervention for family caregivers (CGs) of patients with advanced cancer. Between October 2010 and March 2013, CGs of patients with advanced cancer were randomly assigned to receive three structured weekly telephone coaching sessions, monthly follow-up, and a bereavement call either early after enrollment or 3 months later. CGs of patients with advanced cancer were recruited from a National Cancer Institute cancer center, a Veterans Administration Medical Center, and two community outreach clinics. Outcomes were quality of life (QOL), depression, and burden (objective, stress, and demand). A total of 122 CGs (early, n = 61; delayed, n = 61) of 207 patients participated; average age was 60 years, and most were female (78.7%) and white (92.6%). Between-group differences in depression scores from enrollment to 3 months (before delayed group started intervention) favored the early group (mean difference, -3.4; SE, 1.5; d = -.32; P = .02). There were no differences in QOL (mean difference, -2; SE, 2.3; d = -.13; P = .39) or burden (objective: mean difference, 0.3; SE, .7; d = .09; P = .64; stress: mean difference, -.5; SE, .5; d = -.2; P = .29; demand: mean difference, 0; SE, .7; d = -.01; P = .97). In decedents' CGs, a terminal decline analysis indicated between-group differences favoring the early group for depression (mean difference, -3.8; SE, 1.5; d = -.39; P = .02) and stress burden (mean difference, -1.1; SE, .4; d = -.44; P = .01) but not for QOL (mean difference, -4.9; SE, 2.6; d = -.3; P = .07), objective burden (mean difference, -.6; SE, .6; d = -.18; P = .27), or demand burden (mean difference, -.7; SE, .6; d = -.23; P = .22). Early-group CGs had lower depression scores at 3 months and lower depression and stress burden in the terminal decline analysis. Palliative care for CGs should be initiated as early as possible to maximize benefits. © 2015 by American Society of Clinical

  1. Note: Reconstruction of fluid flows in porous media using geometric a priori information

    Science.gov (United States)

    Maisl, Michael; Scholl, Hagen; Schorr, Christian; Seemann, Ralf

    2016-12-01

    X-ray tomography typically suffers from insufficient temporal resolution when imaging dynamic processes. Using the example of multiphase flow in solid porous media, we adapt an iterative algorithm to compute 3d tomograms from 2d projections, which allows for a significant reduction of scan time while maintaining a high level of reconstruction quality. To this end, a priori knowledge about the porous medium is incorporated into the reconstruction algorithm. This algorithm is universal when monitoring dynamic changes in any static matrix and allows for an at least five times decreased imaging time with respect to standard reconstruction algorithms.

  2. Note: Reconstruction of fluid flows in porous media using geometric a priori information.

    Science.gov (United States)

    Maisl, Michael; Scholl, Hagen; Schorr, Christian; Seemann, Ralf

    2016-12-01

    X-ray tomography typically suffers from insufficient temporal resolution when imaging dynamic processes. Using the example of multiphase flow in solid porous media, we adapt an iterative algorithm to compute 3d tomograms from 2d projections, which allows for a significant reduction of scan time while maintaining a high level of reconstruction quality. To this end, a priori knowledge about the porous medium is incorporated into the reconstruction algorithm. This algorithm is universal when monitoring dynamic changes in any static matrix and allows for an at least five times decreased imaging time with respect to standard reconstruction algorithms.

  3. Citizen perceptions of information flow around a nuclear facility: A study in risk communication

    Energy Technology Data Exchange (ETDEWEB)

    Price, M.O. [Delgado Community Coll., New Orleans, LA (United States)

    1997-08-01

    Responses of focus group members from the region around a Nuclear Facility provide the data for this qualitative study concerning citizen perceptions of available site information. Analyses of three of the focus group discussion questions and the answers they elicited showed a dominant perception among participants of insufficient easily available information about the site. These respondents also indicated that most of them obtain site information through mass media and hearsay, that many lack trust in the information they have and would trust only an independent entity to provide accurate information. A new area in communication studies, variously called environmental risk communication, risk communication and health risk communication, continues to evolve among those working in various allied disciplines, some far removed from communication. As science attempts to solve environmental problems caused by technological advances, this field acquires numerous practitioners. Some of these risk communication experts may however, be overlooking basic and necessary components of effective communication, because their expertise is in another discipline. One result of this can be communication breakdown in which those involved, assume that meaning is shared, when in fact the opposite is true. This paper seeks to clarify a necessary ingredient of effective interpersonal risk communication, using data obtained from citizens living around one of the nation`s nuclear facilities as an example.

  4. Information flow and protein dynamics: the interplay between nuclear magnetic resonance spectroscopy and molecular dynamics simulations

    Science.gov (United States)

    Pastor, Nina; Amero, Carlos

    2015-01-01

    Proteins participate in information pathways in cells, both as links in the chain of signals, and as the ultimate effectors. Upon ligand binding, proteins undergo conformation and motion changes, which can be sensed by the following link in the chain of information. Nuclear magnetic resonance (NMR) spectroscopy and molecular dynamics (MD) simulations represent powerful tools for examining the time-dependent function of biological molecules. The recent advances in NMR and the availability of faster computers have opened the door to more detailed analyses of structure, dynamics, and interactions. Here we briefly describe the recent applications that allow NMR spectroscopy and MD simulations to offer unique insight into the basic motions that underlie information transfer within and between cells. PMID:25999971

  5. Information Flow and Protein Dynamics: the Interplay Between Nuclear Magnetic Resonance Spectroscopy and Molecular Dynamics Simulations

    Directory of Open Access Journals (Sweden)

    Nina ePastor

    2015-05-01

    Full Text Available Proteins participate in information pathways in cells, both as links in the chain of signals, and as the ultimate effectors. Upon ligand binding, proteins undergo conformation and motion changes, which can be sensed by the following link in the chain of information. Nuclear magnetic resonance (NMR spectroscopy and molecular dynamics (MD simulations represent powerful tools for examining the time-dependent function of biological molecules. The recent advances in NMR and the availability of faster computers have opened the door to more detailed analyses of structure, dynamics and interactions. Here we briefly describe the recent applications that allow NMR spectroscopy and MD simulations to offer unique insight into the basic motions that underlie information transfer within and between cells.

  6. Transition delay using control theory.

    Science.gov (United States)

    Bagheri, S; Henningson, D S

    2011-04-13

    This review gives an account of recent research efforts to use feedback control for the delay of laminar-turbulent transition in wall-bounded shear flows. The emphasis is on reducing the growth of small-amplitude disturbances in the boundary layer using numerical simulations and a linear control approach. Starting with the application of classical control theory to two-dimensional perturbations developing in spatially invariant flows, flow control based on control theory has progressed towards more realistic three-dimensional, spatially inhomogeneous flow configurations with localized sensing/actuation. The development of low-dimensional models of the Navier-Stokes equations has played a key role in this progress. Moreover, shortcomings and future challenges, as well as recent experimental advances in this multi-disciplinary field, are discussed.

  7. Modeling and Improving Information Flows in the Development of Large Business Applications

    Science.gov (United States)

    Schneider, Kurt; Lübke, Daniel

    Designing a good architecture for an application is a wicked problem. Therefore, experience and knowledge are considered crucial for informing work in software architecture. However, many organizations do not pay sufficient attention to experience exploitation and architectural learning. Many users of information systems are not aware of the options and the needs to report problems and requirements. They often do not have time to describe a problem encountered in sufficient detail for developers to remove it. And there may be a lengthy process for providing feedback. Hence, the knowledge about problems and potential solutions is not shared effectively. Architectural knowledge needs to include evaluative feedback as well as decisions and their reasons (rationale).

  8. Economics Analysis for Information Flow of the Leader Dynamic Management in Virtual Enterprise

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The virtual enterprise will play a more and more im po rtant role in economy development. The virtual enterprise leader raises market a daptability and group cooperation ability through its dynamic management. Thus t he validity and efficiency of leader's dynamic management determines the efficie ncy of the virtual enterprise operation, and the validity of the information flo w is one of the main factors. In this paper, the validity of the information flo w in the course of the leader's dynamic management i...

  9. The potential for using information systems to enhance information flows and relationships in the intellectual property sector: The case of Kennedys Patent

    Directory of Open Access Journals (Sweden)

    Barlow, A.

    2007-01-01

    Full Text Available This paper investigates the potential use of information systems (IS for enhancing the supply chains of organisations positioned in the intellectual property (IP sector. Exploratory research has been conducted through the lens of a patent and trade mark agent who is involved in advising on a range of IP issues. The research highlights the opportunities offered by IS (including online technologies for generally improving the provision of business services e.g. automating supply chain processes. More specifically, though, it investigates the potential IS have for integrating information flows and providing timely, in-depth and better presented information and the options for online filing. It also explores the capabilities for improving interactions with clients and enhancing relationships with key stakeholders in the supply chain e.g. government agencies, overseas patent agents and lawyers. The paper additionally outlines key challenges that are at the forefront and need to be addressed when using IS within the IP sector such as identity management, security and authentication. The key findings of the research will be of value to researchers and practitioners in the IP field but many of the issues and challenges faced will also be applicable to other sectors.

  10. 77 FR 28669 - Pipeline Safety: Information Collection Activities, Excess Flow Valve Census

    Science.gov (United States)

    2012-05-15

    ... interested members of the public and affected agencies an opportunity to comment on information collection... (EFVs) in single-family-residence service lines (61 FR 31449; codified at 49 CFR 192.381). That standard only applied to the EFVs voluntarily installed on service lines that operated at pressures at or above...

  11. Federal Restrictions on the Free Flow of Academic Information and Ideas.

    Science.gov (United States)

    Shattuck, John

    1986-01-01

    Considers recent actions of the federal government which regulate information transfer and their possible impact on academic freedom within universities. The regulatory policies discussed encompass prepublication review and classification of research reports, limiting access of foreign scholars to U.S. universities, and limiting the dissemination…

  12. From Geo-Social to Geo-Local: The Flows and Biases of Volunteered Geographic Information

    Science.gov (United States)

    Stephens, Monica

    2012-01-01

    This dissertation analyzes the geography of information in the 21st century where BigData, social networks, user generated production of content and geography combine to create new and complex patterns of space, context and sociability. Both online and offline, social networks are creating a space that simultaneously unifies individuals and…

  13. End-to-End Verification of Information-Flow Security for C and Assembly Programs

    Science.gov (United States)

    2016-04-01

    interchangeably with security. Security is desirable in today’s real-world software. Hack- ers often exploit software bugs to obtain information...communication between processes is disabled. The rest of this paper is organized as follows. Sec. 2 intro - duces the observation function and shows how

  14. Quantifying Network Dynamics and Information Flow Across Chinese Social Media During the African Ebola Outbreak.

    Science.gov (United States)

    Feng, Shihui; Hossain, Liaquat; Crawford, John W; Bossomaier, Terry

    2017-08-01

    Social media provides us with a new platform on which to explore how the public responds to disasters and, of particular importance, how they respond to the emergence of infectious diseases such as Ebola. Provided it is appropriately informed, social media offers a potentially powerful means of supporting both early detection and effective containment of communicable diseases, which is essential for improving disaster medicine and public health preparedness. The 2014 West African Ebola outbreak is a particularly relevant contemporary case study on account of the large number of annual arrivals from Africa, including Chinese employees engaged in projects in Africa. Weibo (Weibo Corp, Beijing, China) is China's most popular social media platform, with more than 2 billion users and over 300 million daily posts, and offers great opportunity to monitor early detection and promotion of public health awareness. We present a proof-of-concept study of a subset of Weibo posts during the outbreak demonstrating potential and identifying priorities for improving the efficacy and accuracy of information dissemination. We quantify the evolution of the social network topology within Weibo relating to the efficacy of information sharing. We show how relatively few nodes in the network can have a dominant influence over both the quality and quantity of the information shared. These findings make an important contribution to disaster medicine and public health preparedness from theoretical and methodological perspectives for dealing with epidemics. (Disaster Med Public Health Preparedness. 2017;page 1 of 12).

  15. 75 FR 60068 - Global Free Flow of Information on the Internet

    Science.gov (United States)

    2010-09-29

    ... entrepreneurs utilize new technologies and applications, such as VoIP, social networking and cloud computing... the state-of-the-art in information technology networking in such applications as cyber security and... data-centric services--telecoms, computer processing, and more recently, content- based services, for...

  16. Employing temporal information for cell segmentation using max-flow/min-cut in phase-contrast video microscopy.

    Science.gov (United States)

    Massoudi, Amir; Sowmya, Arcot; Mele, Katarina; Semenovich, Dimitri

    2011-01-01

    Cell segmentation is a crucial step in many bio-medical image analysis applications and it can be considered as an important part of a tracking system. Segmentation in phase-contrast images is a challenging task since in this imaging technique, the background intensity is approximately similar to the cell pixel intensity. In this paper we propose an interactive automatic pixel level segmentation algorithm, that uses temporal information to improve the segmentation result. This algorithm is based on the max-flow/min-cut algorithm and can be solved in polynomial time. This method is not restricted to any specific cell shape and segments cells of various shapes and sizes. The results of the proposed algorithm show that using the temporal information does improve segmentation considerably.

  17. Information about accretion flows from X-ray timing of pulsating sources

    Science.gov (United States)

    Lamb, F. K.; Pines, D.; Shaham, J.

    1976-01-01

    The response was studied of a rotating neutron star to fluctuating torques and it was found that the observed variations in the pulsation periods of the compact X-ray sources Cen X-3 and Her X-1 could be caused by short time scale fluctuations in the accretion torques acting on the neutron stars. The sizes and rates of the required fluctuations are consistent with current accretion models. Such fluctuations can cause period variations either (a) directly, by causing a random walk of the star's angular velocity or (b) indirectly, by exciting a long-period mode of the neutron star, such as the Tkachenko mode of the rotating neutron superfluid. Phenomena in compact X-ray sources and cataclysmic variables which may be caused by fluctuating mass flow rates are also discussed.

  18. A novel approach to delay-fractional-dependent stability criterion for linear systems with interval delay.

    Science.gov (United States)

    An, Jiyao; Li, Zhiyong; Wang, Xiaomei

    2014-03-01

    This paper considers the problem of delay-fractional-dependent stability analysis of linear systems with interval time-varying state delay. By developing a delay variable decomposition approach, both the information of the variable dividing subinterval delay, and the information of the lower and upper bound of delay can be taken into full consideration. Then a new delay-fractional-dependent stability criterion is derived without involving any direct approximation in the time-derivative of the Lyapunov-Krasovskii (LK) functional via some suitable Jensen integral inequalities and convex combination technique. The merits of the proposed result lie in less conservatism, which are realized by choosing different Lyapunov matrices in the variable delay subintervals and estimating the upper bound of some cross term in LK functional more exactly. At last, two well-known numerical examples are employed to show the effectiveness and less conservatism of the proposed method.

  19. Analysis and optimization of delays in networked control systems

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The minimization problem of time delays in networked control system (NCS) is concered, which is a hot area of such research field. First, some analysis and comments on time-delayed NCS model listed in previous work are given.Then, time delay minimization problem based on average behavior of network queuing delay is presented. Under fixed routing scheme and certain optimization performance indexes, the delay minimization problem is translated into convex optimization problem. And the solution of the delay minimization problems is attained through optimized allocation of flow rates among network links.

  20. Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels

    Directory of Open Access Journals (Sweden)

    McDermott Drew

    2009-08-01

    Full Text Available Abstract Background Proteins interact through specific binding interfaces that contain many residues in domains. Protein interactions thus occur on three different levels of a concept hierarchy: whole-proteins, domains, and residues. Each level offers a distinct and complementary set of features for computationally predicting interactions, including functional genomic features of whole proteins, evolutionary features of domain families and physical-chemical features of individual residues. The predictions at each level could benefit from using the features at all three levels. However, it is not trivial as the features are provided at different granularity. Results To link up the predictions at the three levels, we propose a multi-level machine-learning framework that allows for explicit information flow between the levels. We demonstrate, using representative yeast interaction networks, that our algorithm is able to utilize complementary feature sets to make more accurate predictions at the three levels than when the three problems are approached independently. To facilitate application of our multi-level learning framework, we discuss three key aspects of multi-level learning and the corresponding design choices that we have made in the implementation of a concrete learning algorithm. 1 Architecture of information flow: we show the greater flexibility of bidirectional flow over independent levels and unidirectional flow; 2 Coupling mechanism of the different levels: We show how this can be accomplished via augmenting the training sets at each level, and discuss the prevention of error propagation between different levels by means of soft coupling; 3 Sparseness of data: We show that the multi-level framework compounds data sparsity issues, and discuss how this can be dealt with by building local models in information-rich parts of the data. Our proof-of-concept learning algorithm demonstrates the advantage of combining levels, and opens up

  1. Smooth Operator - Mobile Information Technology for Improved Flow at the Construction Site

    DEFF Research Database (Denmark)

    Tambo, Torben

    2010-01-01

    and industry for an updated and forward looking comprehension, and view of tendencies, of the roles and potentials of mobile IT at the construction site including potential for further research. Qualitative and interpretive methodology inspired by information systems and sociology of research and construction......Mobile information technology (IT) seems an ideal innovation to promote effectiveness of the construction process, particularly at the construction site; research has over the last 15 years focused on solutions, potentials and barriers with this field. This paper aim at the duality between research...... and micro mobility (the site); additionally systems designed for the construction site are used in increasingly adjacent industries: Architects, engineers, facility management, insurance, etc. The ambiguousness of mobile IT on the construction site strongly supports further research within this field using...

  2. The study on variation of influential regions in China from a perspective of asymmetry economic information flow

    Science.gov (United States)

    Yang, Chunxia; Tang, Minxuan; Cao, Yongjian; Chen, Yanhua; Deng, Qiangqiang

    2015-10-01

    Based on the annual GDP (Gross Domestic Product) in 27 Chinese provinces and autonomous regions, the asymmetric economic information flows between different regions are calculated by the symbolic transfer entropy method and corresponding economic information flow networks are built over two periods, one is before the reform and opening up policy, the other is after that. By analyzing such networks, the obtained results are as follows. First, before the policy, balanced development strategy weakens or cuts off the ties between adjacent areas, resulting in a slow regional economic development, does not conform to the law of scientific development. Second, with introducing market mechanisms and promoting the reform and opening up policy, increasing economic activities have gradually shifted from coast to inland of China over Period II. Last but not least, there has a dramatic alternation of the influential centers that Jilin, Beijing and Jiangsu become new influential centers. Especially, at Beijing-Tianjin-Hebei metropolis circle Beijing becomes an influential center after the policy.

  3. Scientists and Public: Is the Information Flow Direction Starting to Change?

    Science.gov (United States)

    Diaz-Doce, D.; Bee, E. J.; Bell, P. D.; Marchant, A. P.; Reay, S.; Richardson, S. L.; Shelley, W. A.

    2014-12-01

    Over half of the population of the UK own a smartphone, and about the same number of people uses social media such as Twitter. For the British Geological Survey (BGS) this means millions of potential reporters of real-time events and in-the-field data capturers, creating a new source of scientific information that could help to better understand and predict natural processes. BGS first started collecting citizen data, using crowd-sourcing, through websites and smartphone apps focused on gathering geological related information (e.g. mySoil and myVolcano). These tools ask volunteers to follow a guided form where they can upload data related to geology and geological events; including location, description, measurements, photos, videos, or even instructions on sending physical samples. This information is used to augment existing data collections. Social media provides a different channel for gathering useful scientific information from the public. BGS is starting to explore this route with the release of GeoSocial-Aurora , a web mapping tool that searches for tweets related to aurora sightings and locates them as markers on a map. Users are actively encouraged to contribute by sending tweets about aurora sightings in a specific format, which contains the #BGSaurora hashtag, the location of the sighting, and any comments or pictures. The tool harvests these tweets through the Twitter REST API and places them on the map, enabling the user to generate clusters and heatmaps. GeoSocial-Aurora provides scientists with a potential tool for gathering useful data for scientific analysis. It collects actual aurora sighting locations, enabling users to check where the aurora is taking place in real time. This may, in time, help scientists to improve future predictions of when and where auroras are visible.

  4. Redesigning Acquisition Processes: A New Methodology Based on the Flow of Knowledge and Information

    Science.gov (United States)

    2001-07-01

    the report discusses the InfoDesign methodology, which was developed as part of this project. A methodology for process rede - sign is necessarily...which one acquisition process, involving the U.S. Government and one key supplier, was analyzed and redesigned. The process rede - sign proposal was... Informatica , V.21, No.2. Lau, F. (1997), “A Review on the Use of Action Research in Information Systems Studies,” Informa- tion Systems and Qualitative

  5. Overland Flow Direction Information for the Upper Colorado River Basin in Daymet Climate Data resolution (overland_flow_direction_UCRB_daymet_resolution.txt)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — overland_flow_direction_UCRB_daymet_resolution.txt is an Esri ASCII grid representing overland flow direction in the Upper Colorado River Basin using the D8...

  6. Overland Flow Direction Information for the Upper Colorado River Basin in Maurer et al. (2002) Climate Data resolution (overland_flow_direction_UCRB_Maurer_resolution.asc)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — overland_flow_direction_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing overland flow direction in the Upper Colorado River Basin using the D8...

  7. UAS Air Traffic Controller Acceptability Study-2: Effects of Communications Delays and Winds in Simulation

    Science.gov (United States)

    Comstock, James R., Jr.; Ghatas, Rania W.; Consiglio, Maria C.; Chamberlain, James P.; Hoffler, Keith D.

    2016-01-01

    This study evaluated the effects of Communications Delays and Winds on Air Traffic Controller ratings of acceptability of horizontal miss distances (HMDs) for encounters between UAS and manned aircraft in a simulation of the Dallas-Ft. Worth East-side airspace. Fourteen encounters per hour were staged in the presence of moderate background traffic. Seven recently retired controllers with experience at DFW served as subjects. Guidance provided to the UAS pilots for maintaining a given HMD was provided by information from self-separation algorithms displayed on the Multi-Aircraft Simulation System. Winds tested did not affect the acceptability ratings. Communications delays tested included 0, 400, 1200, and 1800 msec. For longer communications delays, there were changes in strategy and communications flow that were observed and reported by the controllers. The aim of this work is to provide useful information for guiding future rules and regulations applicable to flying UAS in the NAS.

  8. Congenital rubella syndrome and delayed manifestations

    DEFF Research Database (Denmark)

    Dammeyer, Jesper Herup

    2010-01-01

    Objective: Several hypotheses of different medical and psychological delayed manifestations among people who have congenital rubella syndrome (CRS) have been discussed. This study tests some of these hypotheses of delayed manifestations. Methods: Gathering information about 35 individuals who hav...... which people with CRS face must primarily be understood in relation to congenital deafblindness and dual sensory and communicative deprivation....

  9. The importance of disaggregated freight flow forecasts to inform transport infrastructure investments

    Directory of Open Access Journals (Sweden)

    Jan H. Havenga

    2013-05-01

    Full Text Available This article presents the results of a comprehensive disaggregated commodity flow model for South Africa. The wealth of data available enables a segmented analysis of future freight transportation demand in order to assist with the prioritisation of transportation investments, the development of transport policy and the growth of the logistics service provider industry. In 2011, economic demand for commodities in South Africa’s competitive surface-freight transport market amounted to 622 million tons and is predicted to increase to 1834m tons by 2041, which is a compound annual growth rate of 3.67%. Fifty percent of corridor freight constitutes break bulk; intermodal solutions are therefore critical in South Africa. Scenario analysis indicates that 80%of corridor break-bulk tons can by serviced by four intermodal facilities – in Gauteng, Durban, Cape Town and Port Elizabeth. This would allow for the development of an investment planning hierarchy, enable industry targeting (through commodity visibility, ensure capacity development ahead of demand and lower the cost of logistics in South Africa.

  10. Modeling the Uptake of Scientific Information by the Public and Opinion Flow in Society (Invited)

    Science.gov (United States)

    Lewandowsky, S.; Brown, G. D.; Cook, J.

    2013-12-01

    Improved communication of scientific findings requires knowledge not only of how people process information, but also how such information spreads through society and how people's opinions are shaped by those of others. Recent advances in cognitive science have yielded mathematical modeling techniques that permit the detailed analysis of individuals' cognition as well as the behavior of communities in the aggregate. We present two case studies that highlight the insights that can be derived from mathematical models of cognition: We show how rational processing of information (i.e., Bayesian hypothesis revision) can nonetheless give rise to seemingly 'irrational' belief updating, as for example when acceptance of human-caused global warming decreases among conservatives in response to evidence for human-caused global warming. We also show in an agent-based simulation how social norms can lead to polarization of societies. The model assumes that agents located within a social network observe the behavior of neighbours and infer from their behavior the social distribution of particular attitudes (e.g. towards climate change). Agents are assumed to dislike behaviours that are extreme within their neighbourhood (social extremeness aversion), and hence have a tendency to conform. However, agents are also assumed to prefer choices that are consistent with their own true beliefs (authenticity preference). Expression of attitudes reflects a compromise between these opposing principles. The model sheds light on the role of perceived rather than actual social consensus on attitudes to climate change. This is particularly relevant given the widespread perception among those who reject climate science that the percentage of the public that is sharing their beliefs is much higher than it actually is.

  11. Coulomb interactions between cytoplasmic electric fields and phosphorylated messenger proteins optimize information flow in cells.

    Directory of Open Access Journals (Sweden)

    Robert A Gatenby

    Full Text Available BACKGROUND: Normal cell function requires timely and accurate transmission of information from receptors on the cell membrane (CM to the nucleus. Movement of messenger proteins in the cytoplasm is thought to be dependent on random walk. However, Brownian motion will disperse messenger proteins throughout the cytosol resulting in slow and highly variable transit times. We propose that a critical component of information transfer is an intracellular electric field generated by distribution of charge on the nuclear membrane (NM. While the latter has been demonstrated experimentally for decades, the role of the consequent electric field has been assumed to be minimal due to a Debye length of about 1 nanometer that results from screening by intracellular Cl- and K+. We propose inclusion of these inorganic ions in the Debye-Huckel equation is incorrect because nuclear pores allow transit through the membrane at a rate far faster than the time to thermodynamic equilibrium. In our model, only the charged, mobile messenger proteins contribute to the Debye length. FINDINGS: Using this revised model and published data, we estimate the NM possesses a Debye-Huckel length of a few microns and find this is consistent with recent measurement using intracellular nano-voltmeters. We demonstrate the field will accelerate isolated messenger proteins toward the nucleus through Coulomb interactions with negative charges added by phosphorylation. We calculate transit times as short as 0.01 sec. When large numbers of phosphorylated messenger proteins are generated by increasing concentrations of extracellular ligands, we demonstrate they generate a self-screening environment that regionally attenuates the cytoplasmic field, slowing movement but permitting greater cross talk among pathways. Preliminary experimental results with phosphorylated RAF are consistent with model predictions. CONCLUSION: This work demonstrates that previously unrecognized Coulomb interactions

  12. Selective cortical control of information flow through different intraspinal collaterals of the same muscle afferent fiber.

    Science.gov (United States)

    Eguibar, J R; Quevedo, J; Jiménez, I; Rudomin, P

    1994-04-18

    We have analyzed in the anesthetized cat the effects of electrical stimulation of the cerebral cortex on the intraspinal threshold of two collaterals belonging to the same muscle spindle or tendon organ afferent fiber. The results obtained provide, for the first time, direct evidence showing that the motor cortex is able to modify, in a highly selective manner, the synaptic effectiveness of individual collaterals of the same primary afferent fiber. This presynaptic control could function as a mechanism that allows funneling of information to specific groups of spinal neurons in the presence of extensive intraspinal branching of the afferent fibers.

  13. Channelling information flows: a young researcher’s approach to knowledge management

    Directory of Open Access Journals (Sweden)

    Guilhem Chalancon

    2014-07-01

    Full Text Available As the volume of scientific literature continues to grow at an impressive pace, so too does the diversity of tools and approaches that are being proposed to track this knowledge. In the midst of such a vast ecosystem of journals and software, identifying meaningful innovation, as well as continuing to innovate, is essential to the emergence of powerful, flexible and easy-to-use ‘channels’ which researchers need to navigate the current scientific literature. In this article, the author uses the example of his own information consumption habits to suggest what he sees as the key components of such channels.

  14. Smooth Operator - Mobile Information Technology for Improved Flow at the Construction Site

    DEFF Research Database (Denmark)

    Tambo, Torben

    2010-01-01

    and industry for an updated and forward looking comprehension, and view of tendencies, of the roles and potentials of mobile IT at the construction site including potential for further research. Qualitative and interpretive methodology inspired by information systems and sociology of research and construction...... and micro mobility (the site); additionally systems designed for the construction site are used in increasingly adjacent industries: Architects, engineers, facility management, insurance, etc. The ambiguousness of mobile IT on the construction site strongly supports further research within this field using...

  15. Local control of information flow in segmental and ascending collaterals of single afferents.

    Science.gov (United States)

    Lomelí, J; Quevedo, J; Linares, P; Rudomin, P

    1998-10-08

    In the vertebrate spinal cord, the activation of GABA(gamma-amino-butyric acid)-releasing interneurons that synapse with intraspinal terminals of sensory fibres leading into the central nervous system (afferent fibres) produces primary afferent depolarization and presynaptic inhibition. It is not known to what extent these presynaptic mechanisms allow a selective control of information transmitted through specific sets of intraspinal branches of individual afferents. Here we study the local nature of the presynaptic control by measuring primary afferent depolarization simultaneously in two intraspinal collaterals of the same muscle spindle afferent. One of these collaterals ends at the L6-L7 segmental level in the intermediate nucleus, and the other ascends to segment L3 within Clarke's column, the site of origin of spinocerebellar neurons. Our results indicate that there are central mechanisms that are able to affect independently the synaptic effectiveness of segmental and ascending collaterals of individual muscle spindle afferents. Focal control of presynaptic inhibition thus allows the intraspinal branches of afferent fibres to function as a dynamic assembly that can be fractionated to convey information to selected neuronal targets. This may be a mechanism by which different spinal postsynaptic targets that are coupled by sensory input from a common source could be uncoupled.

  16. Analysis of Debris Flow Kuranji River in Padang City Using Rainfall Data, Remote Sensing and Geographic Information System

    Science.gov (United States)

    Umar, Z.; Mohd Akib, W. A. A. Wan; Ahmad, A.

    2014-02-01

    Flash flood is the most common environmental hazard worldwide. This phenomenon is usually occurs due to intense and prolonged rainfall spells on saturated ground. When there is a rapid rise in water levels and high flow-velocities of the stream occur, the channel overflows and the result is a flash flood. Flash floods normally cause a dangerous wall of roaring water carrying rocks, mud and other debris. On Tuesday, July 24, 2012 at 18:00 pm, a flash flood (debris flow) struck Kuranji River whereby 19 urban villages in seven (7) sub-districts in the city of Padang were affected by this flood disaster. The temporary loss estimated is 40 Billion US Dollar reported by the West Sumatra Provincial Government due to many damages of the built environment infrastructures. This include damaged houses of 878 units, mosque 15 units, irrigation damaged 12 units, bridges 6 units, schools 2 units and health posts 1 unit. Generally, widely used methods for making a landslide study are Geographic Information System (GIS) and Remote Sensing techniques. The landslide information extracted from remotely sensed products is mainly related to morphology, vegetation and hydrologic conditions of a slope. While GIS is used to create a database, data management, data display and to analyze data such as thematic maps of land use/land cover, normalized difference vegetation index (NDVI), rainfall data and soil texture. This paper highlights the analysis of the condition of the Watershed Kuranji River experiencing flash floods, using remote sensing satellite image of Landsat ETM 7 in 2009 and 2012 and Geographic Information System (GIS). Furthermore, the data was analyzed to determine whether this flash flood occurred due to extreme rain or collapse of existing natural dams in the upstream of the Kuranji River.

  17. The Right Delay

    NARCIS (Netherlands)

    Datadien, A.H.R.; Haselager, W.F.G.; Sprinkhuizen-Kuyper, I.G.

    2011-01-01

    Axonal conduction delays should not be ignored in simulations of spiking neural networks. Here it is shown that by using axonal conduction delays, neurons can display sensitivity to a specific spatio-temporal spike pattern. By using delays that complement the firing times in a pattern, spikes can ar

  18. Directed cortical information flow during human object recognition: analyzing induced EEG gamma-band responses in brain's source space.

    Directory of Open Access Journals (Sweden)

    Gernot G Supp

    Full Text Available The increase of induced gamma-band responses (iGBRs; oscillations >30 Hz elicited by familiar (meaningful objects is well established in electroencephalogram (EEG research. This frequency-specific change at distinct locations is thought to indicate the dynamic formation of local neuronal assemblies during the activation of cortical object representations. As analytically power increase is just a property of a single location, phase-synchrony was introduced to investigate the formation of large-scale networks between spatially distant brain sites. However, classical phase-synchrony reveals symmetric, pair-wise correlations and is not suited to uncover the directionality of interactions. Here, we investigated the neural mechanism of visual object processing by means of directional coupling analysis going beyond recording sites, but rather assessing the directionality of oscillatory interactions between brain areas directly. This study is the first to identify the directionality of oscillatory brain interactions in source space during human object recognition and suggests that familiar, but not unfamiliar, objects engage widespread reciprocal information flow. Directionality of cortical information-flow was calculated based upon an established Granger-Causality coupling-measure (partial-directed coherence; PDC using autoregressive modeling. To enable comparison with previous coupling studies lacking directional information, phase-locking analysis was applied, using wavelet-based signal decompositions. Both, autoregressive modeling and wavelet analysis, revealed an augmentation of iGBRs during the presentation of familiar objects relative to unfamiliar controls, which was localized to inferior-temporal, superior-parietal and frontal brain areas by means of distributed source reconstruction. The multivariate analysis of PDC evaluated each possible direction of brain interaction and revealed widespread reciprocal information-transfer during familiar

  19. Dynamic synchronization of ongoing neuronal activity across spinal segments regulates sensory information flow.

    Science.gov (United States)

    Contreras-Hernández, E; Chávez, D; Rudomin, P

    2015-05-15

    Previous studies on the correlation between spontaneous cord dorsum potentials recorded in the lumbar spinal segments of anaesthetized cats suggested the operation of a population of dorsal horn neurones that modulates, in a differential manner, transmission along pathways mediating Ib non-reciprocal postsynaptic inhibition and pathways mediating primary afferent depolarization and presynaptic inhibition. In order to gain further insight into the possible neuronal mechanisms that underlie this process, we have measured changes in the correlation between the spontaneous activity of individual dorsal horn neurones and the cord dorsum potentials associated with intermittent activation of these inhibitory pathways. We found that high levels of neuronal synchronization within the dorsal horn are associated with states of incremented activity along the pathways mediating presynaptic inhibition relative to pathways mediating Ib postsynaptic inhibition. It is suggested that ongoing changes in the patterns of functional connectivity within a distributed ensemble of dorsal horn neurones play a relevant role in the state-dependent modulation of impulse transmission along inhibitory pathways, among them those involved in the central control of sensory information. This feature would allow the same neuronal network to be involved in different functional tasks.

  20. Information Flow and Health Policy Literacy: The Role of the Media

    Directory of Open Access Journals (Sweden)

    Sophya Yumakulov

    2012-08-01

    Full Text Available People increasingly can and want to obtain and generate health information themselves. With the increasing do-it-yourself sentiment comes also the desire to be more involved in one’s health care decisions. Patient driven health-care and health research models are emerging; terms such as participatory medicine and quantified-self are visible increasingly. Given the health consumer’s desire to be more involved in health data generation and health care decision making processes the authors submit that it is important to be health policy literate, to understanding how health policies are developed, what themes are discussed among health policy researchers and policy makers, to understand how ones demands would be discussed within health policy discourses. The public increasingly obtains their knowledge through the internet by searching web browsers for keywords. Question is whether the “health consumer” to come has knowledge of key terms defining key health policy discourses which would enable them to perform targeted searches for health policy literature relevant to their situation. The authors found that key health policy terms are virtually absent from printed and online news media which begs the question how the “health consumer” might learn about key health policy terms needed for web based searches that would allow the “health consumer” to access health policy discourses relevant to them.

  1. 延迟容忍网络中一种多信息融合的改进概率路由算法%An Improved Probabilistic Routing Algorithm Based on Multi-information Fusion in Delay Tolerant Networks

    Institute of Scientific and Technical Information of China (English)

    王旭; 何荣希

    2014-01-01

    综合利用节点物理状态信息(位置和速度矢量信息)和社会关系信息(历史相遇信息),提出一种多信息融合的概率路由算法( PRMF)。该算法依据节点间距离的远近程度动态调整两类信息在预测相遇关系中的权重,以选择合适的信息来计算传输概率,并依据传输概率的大小选择转发节点。另外,还引入有效的分组副本控制和分组散播策略,并结合预测信息改进了节点缓存管理方法。仿真结果表明:与现有的几种路由算法相比,PRMF保持了较低的平均开销,同时具有最高的投递率和最小的平均延迟。%With an integrated utilization of nodes'physical status information and social relationship infor-mation,i. e. ,position and velocity vector information and historical encounter information,a probabilistic routing algorithm based on multi-information fusion,called PRMF,is proposed for delay tolerant networks ( DTN) in this paper. According to the relative distance from a node to the destination node,PRMF dynami-cally adjusts the weighting factor to select the appropriate information for calculation of the node's delivery probability which gives guidance to forwarder selection. In addition, an effective strategy for packet copy control and packet spreading is also introduced in PRMF to improve the queue management method by combining with the former predictive information. The simulation results show that PRMF can have not only a relatively small average overhead but also a higher packet delivery rate and a lower delivery delay than other routing algorithms.

  2. Patterns of genetic structure and evidence of gene flow among Tunisian Citrus species based on informative nSSR markers.

    Science.gov (United States)

    Ben Romdhane, Meriam; Riahi, Leila; Selmi, Ayet; Zoghlami, Nejia

    2016-01-01

    This study investigates the extent of genetic diversity, phylogenetic relationships and the amount of gene flow among Tunisian Citrus species based on a set of 15 informative nuclear SSR molecular markers. Genotyping data highlighted an allelic richness among Tunisian Citrus species and has allowed the detection of 168 alleles among them 104.19 were effective. The partition of the total genetic diversity (HT=0.832) showed that the highest amount of variation within the Citrus species is HS=0.550, while the relative amount of the between-species genetic diversity GST does not exceed 0.338. This pattern of genetic structure was supported by low-to-moderate FST pairwise values and the presence of a gene flow (Nm) among the eight Citrus species. The lowest genetic differentiation was revealed between the species C. sinensis and C. insitorum (FST=0.111, Nm=1.99), while the highest genetic differentiation was recorded between the species C. aurantifolia and C. paradisi (FST=0.367, Nm=0.43). The established Neighbor Joining analysis showed that all genotypes were widely discriminated and clearly pooled according to their species of origin, with minor exceptions. Copyright © 2016 Académie des sciences. Published by Elsevier SAS. All rights reserved.

  3. An Analytical Delay Model

    Institute of Scientific and Technical Information of China (English)

    MIN Yinghua; LI Zhongcheng

    1999-01-01

    Delay consideration has been a majorissue in design and test of high performance digital circuits. Theassumption of input signal change occurring only when all internal nodesare stable restricts the increase of clock frequency. It is no longertrue for wave pipelining circuits. However, previous logical delaymodels are based on the assumption. In addition, the stable time of arobust delay test generally depends on the longest sensitizable pathdelay. Thus, a new delay model is desirable. This paper explores thenecessity first. Then, Boolean process to analytically describe thelogical and timing behavior of a digital circuit is reviewed. Theconcept of sensitization is redefined precisely in this paper. Based onthe new concept of sensitization, an analytical delay model isintroduced. As a result, many untestable delay faults under thelogical delay model can be tested if the output waveforms can be sampledat more time points. The longest sensitizable path length is computedfor circuit design and delay test.

  4. 模糊信息流动过程的分析与刻画%The Analysis and Characterization of the Fuzzy Information Flow

    Institute of Scientific and Technical Information of China (English)

    李娜; 樊蕊

    2013-01-01

    The logic of information flow is inseparable from the analysis and study of the fuzzy information flow. We noticed that people usually use the language itself is fuzzy in verbal communication, but this fuzzy does not affect the information transmission. Therefore, it raises a question, namely, why fuzzy information can accurate flow between individuals. Use of the method of the logic of information flow to analysis the process of fuzzy information flow, and then described this process.%思考模糊信息的流动过程离不开信息流逻辑,该逻辑的推理方向是从已知信息推知未知信息。我们会注意到人们在日常交际中所使用的语言本身就具有模糊性,而这种模糊性并不影响信息的传递,于是就产生了模糊信息何以在个体间准确流动的问题。本文运用信息流逻辑的方法,对模糊信息流动过程进行分析,进而刻画模糊信息的流动过程。

  5. Synchronization, TIGoRS, and Information Flow in Complex Systems: Dispositional Cellular Automata.

    Science.gov (United States)

    Sulis, William H

    2016-04-01

    Synchronization has a long history in physics where it refers to the phase matching of two identical oscillators. This notion has been extensively studied in physics as well as in biology, where it has been applied to such widely varying phenomena as the flashing of fireflies and firing of neurons in the brain. Human behavior, however, may be recurrent but it is not oscillatory even though many physiological systems do exhibit oscillatory tendencies. Moreover, much of human behaviour is collaborative and cooperative, where the individual behaviours may be distinct yet contemporaneous (if not simultaneous) and taken collectively express some functionality. In the context of behaviour, the important aspect is the repeated co-occurrence in time of behaviours that facilitate the propagation of information or of functionality, regardless of whether or not these behaviours are similar or identical. An example of this weaker notion of synchronization is transient induced global response synchronization (TIGoRS). Previous work has shown that TIGoRS is a ubiquitous phenomenon among complex systems, enabling them to stably parse environmental transients into salient units to which they stably respond. This leads to the notion of Sulis machines, which emergently generate a primitive linguistic structure through their dynamics. This article reviews the notion of TIGoRS and its expression in several complex systems models including tempered neural networks, driven cellular automata and cocktail party automata. The emergent linguistics of Sulis machines are discussed. A new class of complex systems model, the dispositional cellular automaton is introduced. A new metric for TIGoRS, the excess synchronization, is introduced and applied to the study of TIGoRS in dispositional cellular automata. It is shown that these automata exhibit a nonlinear synchronization response to certain perturbing transients.

  6. Matching of feedback inhibition with excitation ensures fidelity of information flow in the anterior piriform cortex.

    Science.gov (United States)

    Sheridan, D C; Hughes, A R; Erdélyi, F; Szabó, G; Hentges, S T; Schoppa, N E

    2014-09-05

    Odor-evoked responses in mitral cells of the olfactory bulb are characterized by prolonged patterns of action potential (spike) activity. If downstream neurons are to respond to each spike in these patterns, the duration of the excitatory response to one spike should be limited, enabling cells to respond to subsequent spikes. To test for such mechanisms, we performed patch-clamp recordings in slices of the mouse anterior piriform cortex. Mitral cell axons in the lateral olfactory tract (LOT) were stimulated electrically at different intensities and with various frequency patterns to mimic changing input conditions that the piriform cortex likely encounters in vivo. We found with cell-attached measurements that superficial pyramidal (SP) cells in layer 2 consistently responded to LOT stimulation across conditions with a limited number (1-2) of spikes per stimulus pulse. The key synaptic feature accounting for the limited spike number appeared to be somatic inhibition derived from layer 3 fast-spiking cells. This inhibition tracked the timing of the first spike in SP cells across conditions, which naturally limited the spike number to 1-2. These response features to LOT stimulation were, moreover, not unique to SP cells, also occurring in a population of fluorescently labeled interneurons in glutamic acid decarboxylase 65-eGFP mice. That these different cortical cells respond to incoming inputs with 1-2 spikes per stimulus may be especially critical for relaying bulbar information contained in synchronized oscillations at beta (15-30Hz) or gamma (30-80Hz) frequencies.

  7. Decision Model of Delay Information for Call Centers Based on Consideration of Customers’Patience%考虑顾客耐心的呼叫中心等待提示决策模型

    Institute of Scientific and Technical Information of China (English)

    于淼; 宫俊; 唐加福; 张森

    2015-01-01

    通过向客户提示可能需要等待的排队时间来改善顾客满意度是目前呼叫中心的重要手段之一。实践表明,提示时间长短的确定对顾客满意度和呼叫中心效用具有重要影响作用。基于排队论建立了考虑顾客心理行为影响的最大系统效用优化模型,并给出了基于混沌搜索的求解算法。针对一类带有排队等待时间提示的 M/M/N+M 排队模型,研究了排队时间提示对顾客耐心心理与放弃行为的影响规律,用概率函数描述了顾客心理变化和放弃行为,推导了稳态下的排队系统的性能计算公式,构建了最大化系统效用值的优化模型和混沌搜索求解算法。数值实验验证了算法的收敛性和有效性,并给出了不同耐心顾客群体和呼叫中心运营模式下的系统最优提示时间策略和效用值的变化规律,作为实际工作中的指导准则。%One of the important management approaches of call centers is to provide delay time information for the callers in order to improve their satisfactory.The practice indicated that the duration of delay time has the key impact on the customer’s satisfactory and the effectiveness of call centers. According to M/M/N+M queue model with delay information,the influence of delay information on the customer’s patience and balking and reneging behavior is addressed,and the customer’s mental and behavior variation is described by probability functions.Then,the performance calculation formula of queue system is deduced under the stable state.The maximum system utility optimization model with consideration of the customer’s behavior based on queue theory is established,and the chaotic search algorithm is developed.The numerical results verify the effectiveness and convergence of the algorithm. Under various operation models,rules for practice are derived from analysis of the relationship between customer’s patience and call center

  8. Information

    CERN Document Server

    Ritchie, L David

    1991-01-01

    This volume thoroughly covers the sub-field of information, and is one of the first in a series which synthesizes the research literature on major concepts in the field of communication. Each concise volume includes a research definition (concept explication) and presents a state-of-the-art analysis of theory and empirical findings related to the concept. After defining the word `information', the author contrasts non-linear and reflexive ideas about human communication with linear perspectives. Information is equated with uncertainty. The result presents a pattern for the process of conceptua

  9. A new car-following model with two delays

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Lei, E-mail: yuleijk@126.com [College of Automation, Northwestern Polytechnical University, Xi' an, ShaanXi (China); Shi, Zhong-ke [College of Automation, Northwestern Polytechnical University, Xi' an, ShaanXi (China); Li, Tong [Department of Mathematics, University of Iowa, Iowa City, IA (United States)

    2014-01-17

    A new car-following model is proposed by taking into account two different time delays in sensing headway and velocity. The effect of time delays on the stability analysis is studied. The theoretical and numerical results show that traffic jams are suppressed efficiently when the difference between two time delays decreases and those can be described by the solution of the modified Korteweg–de Vries (mKdV) equation. Traffic flow is more stable with two delays in headway and velocity than in the case with only one delay in headway. The impact of local small disturbance to the system is also studied.

  10. A new car-following model with two delays

    Science.gov (United States)

    Yu, Lei; Shi, Zhong-ke; Li, Tong

    2014-01-01

    A new car-following model is proposed by taking into account two different time delays in sensing headway and velocity. The effect of time delays on the stability analysis is studied. The theoretical and numerical results show that traffic jams are suppressed efficiently when the difference between two time delays decreases and those can be described by the solution of the modified Korteweg-de Vries (mKdV) equation. Traffic flow is more stable with two delays in headway and velocity than in the case with only one delay in headway. The impact of local small disturbance to the system is also studied.

  11. Delayed emergence after anesthesia.

    Science.gov (United States)

    Tzabazis, Alexander; Miller, Christopher; Dobrow, Marc F; Zheng, Karl; Brock-Utne, John G

    2015-06-01

    In most instances, delayed emergence from anesthesia is attributed to residual anesthetic or analgesic medications. However, delayed emergence can be secondary to unusual causes and present diagnostic dilemmas. Data from clinical studies is scarce and most available published material is comprised of case reports. In this review, we summarize and discuss less common and difficult to diagnose reasons for delayed emergence and present cases from our own experience or reference published case reports/case series. The goal is to draw attention to less common reasons for delayed emergence, identify patient populations that are potentially at risk and to help anesthesiologists identifying a possible cause why their patient is slow to wake up.

  12. Data Flow Infrastructure Initiative (DFII): Coupling Inventory Practices and Data collection Technology to Enhance Research Productivity and Information Access

    Science.gov (United States)

    Meyer, K.; Malin, R.; Rich, R. L.; Pierce, S. A.

    2011-12-01

    Shortening the cycle from data collection to research publications is a competitive advantage for researchers. Existing technologies for inventory systems such as UPC barcoding systems can be coupled with flexible mobile or handheld devices to advance efficiency, productivity, automation, and integrity in data flows, from data collection to sample processing to database management and analysis, and finally publication. At the University of Texas, the Data Flow Infrastructure Initiative (DFII) has introduced handheld devices with integrated barcode scanners as a mechanism to enhance research productivity and information access. These devices are established technology and provide a flexible but consistent platform for research data collection and data management. They are not in widespread use yet in the research community. Additional application benefits will accrue by using handheld devices to deliver data on demand in teaching applications. Introducing research scientists, graduate students, and the UT community to the merits and flexibility of these data collection technologies will provide avenues for innovation as well as improving efficiency. The objective of this project is to bring the technology and expertise with handheld systems to a diverse set of pilot projects and establish proficiency at The University of Texas at Austin necessary for widespread application. We have implemented a pilot project in three research labs covering the fields of microbial ecology, water resources decision support, and biogeochemistry to introduce these technologies. We used NautizX5 handheld devices that feature: barcode scanning, bluetooth, stylus, and keypad data inputs coupled with Pendragon Forms Software, a program that allows users to create custom data collection forms structured into an SQL or Access platform thus allowing concurrent data management, data collection and analysis in field and lab settings. Results include the elimination of most manual data entry

  13. Network Delays and Link Capacities in Application-Specific Wormhole NoCs

    Directory of Open Access Journals (Sweden)

    Zvika Guz

    2007-01-01

    Full Text Available Network-on-chip- (NoC- based application-specific systems on chip, where information traffic is heterogeneous and delay requirements may largely vary, require individual capacity assignment for each link in the NoC. This is in contrast to the standard approach of on- and off-chip interconnection networks which employ uniform-capacity links. Therefore, the allocation of link capacities is an essential step in the automated design process of NoC-based systems. The algorithm should minimize the communication resource costs under Quality-of-Service timing constraints. This paper presents a novel analytical delay model for virtual channeled wormhole networks with nonuniform links and applies the analysis in devising an efficient capacity allocation algorithm which assigns link capacities such that packet delay requirements for each flow are satisfied.

  14. 非正规经济金融部门资金净流量规模测算%Measuring Net Flow of Funds of Financial Sector of Informal Economy

    Institute of Scientific and Technical Information of China (English)

    李建军; 田光宁

    2005-01-01

    With the principle and approach of Fund Flow Analysis, we estimated the balance of net flow fund in the sector of informal economy and finance in China. After calculating the number of net fund flow, this conclusion can be drawn, the scale of informal finance is larger in recent years.

  15. The Effects of Delay of Feedback on a Delayed Concept Formation Transfer Task.

    Science.gov (United States)

    Schroth, Marvin L.

    1992-01-01

    Delay and completeness of verbal information feedback were investigated within a transfer of learning paradigm involving concept formation. An experiment with 192 undergraduates indicates that, although delay of feedback (up to 30 seconds) slows speed of learning on the initial task, it has positive effects on the transfer task. (SLD)

  16. Stability analysis in a car-following model with reaction-time delay and delayed feedback control

    Science.gov (United States)

    Jin, Yanfei; Xu, Meng

    2016-10-01

    The delayed feedback control in terms of both headway and velocity differences has been proposed to guarantee the stability of a car-following model including the reaction-time delay of drivers. Using Laplace transformation and transfer function, the stable condition is derived and appropriate choices of time delay and feedback gains are designed to stabilize traffic flow. Meanwhile, an upper bound on explicit time delay is determined with respect to the response of desired acceleration. To ensure the string stability, the explicit time delay cannot over its upper bound. Numerical simulations indicate that the proposed control method can restraint traffic congestion and improve control performance.

  17. Delays in the operating room: signs of an imperfect system.

    Science.gov (United States)

    Wong, Janice; Khu, Kathleen Joy; Kaderali, Zul; Bernstein, Mark

    2010-06-01

    Delays in the operating room have a negative effect on its efficiency and the working environment. In this prospective study, we analyzed data on perioperative system delays. One neurosurgeon prospectively recorded all errors, including perioperative delays, for consecutive patients undergoing elective procedures from May 2000 to February 2009. We analyzed the prevalence, causes and impact of perioperative system delays that occurred in one neurosurgeon's practice. A total of 1531 elective surgical cases were performed during the study period. Delays were the most common type of error (33.6%), and more than half (51.4%) of all cases had at least 1 delay. The most common cause of delay was equipment failure. The first cases of the day and cranial cases had more delays than subsequent cases and spinal cases, respectively. A delay in starting the first case was associated with subsequent delays. Delays frequently occur in the operating room and have a major effect on patient flow and resource utilization. Thorough documentation of perioperative delays provides a basis for the development of solutions for improving operating room efficiency and illustrates the principles underlying the causes of operating room delays across surgical disciplines.

  18. American Dream Delayed

    DEFF Research Database (Denmark)

    Khorunzhina, Natalia; Miller, Robert A.

    This paper investigates the delay in homeownership and a subsequent reduction in homeownership rate observed over the past decades. We focus on the delay in giving birth to children and increased labor market participation as contributing factors to homeownership dynamics for prime-age female hou...

  19. Systematic delay-driven power optimisation and power-driven delay optimisation of combinational circuits

    OpenAIRE

    Mehrotra, Rashmi

    2013-01-01

    With the proliferation of mobile wireless communication and embedded systems, the energy efficiency becomes a major design constraint. The dissipated energy is often referred as the product of power dissipation and the input-output delay. Most of electronic design automation techniques focus on optimising only one of these parameters either power or delay. Industry standard design flows integrate systematic methods of optimising either area or timing while for power consumption optimisation o...

  20. Daily variation in natural disaster casualties: information flows, safety, and opportunity costs in tornado versus hurricane strikes.

    Science.gov (United States)

    Zahran, Sammy; Tavani, Daniele; Weiler, Stephan

    2013-07-01

    Casualties from natural disasters may depend on the day of the week they strike. With data from the Spatial Hazard Events and Losses Database for the United States (SHELDUS), daily variation in hurricane and tornado casualties from 5,043 tornado and 2,455 hurricane time/place events is analyzed. Hurricane forecasts provide at-risk populations with considerable lead time. Such lead time allows strategic behavior in choosing protective measures under hurricane threat; opportunity costs in terms of lost income are higher during weekdays than during weekends. On the other hand, the lead time provided by tornadoes is near zero; hence tornados generate no opportunity costs. Tornado casualties are related to risk information flows, which are higher during workdays than during leisure periods, and are related to sheltering-in-place opportunities, which are better in permanent buildings like businesses and schools. Consistent with theoretical expectations, random effects negative binomial regression results indicate that tornado events occurring on the workdays of Monday through Thursday are significantly less lethal than tornados that occur on weekends. In direct contrast, and also consistent with theory, the expected count of hurricane casualties increases significantly with weekday occurrences. The policy implications of observed daily variation in tornado and hurricane events are considered. © 2012 Society for Risk Analysis.

  1. Exposure-response modeling of flow-mediated dilation provides an unbiased and informative measure of endothelial function.

    Science.gov (United States)

    Van Brackle, Charles Henry; Harris, Ryan A; Hallow, Karen Melissa

    2016-12-15

    The brachial artery flow-mediated dilation (FMD) test is the most widely utilized, method to evaluate endothelial function non-invasively in humans by calculating the percent change in diameter (FMD%). However, the underutilized velocity and diameter time-course data coupled with confounding influences in shear exposure, noise, and upward bias make the FMD test less desirable. In this study, we developed an exposure-response model-based approach that not only quantifies FMD based on the rich velocity and diameter data, it overcomes previously acknowledged challenges. FMD data were obtained from 15 apparently healthy participants, each exposed to 4 different cuff occlusion durations. The velocity response following cuff release was described by an exponential model with two parameters defining peak velocity and rate of decay. Shear exposure derived from velocity was used to drive the diameter response model, which consists of additive constriction and dilation terms. Three parameters describing distinct aspects of the vascular response to shear (magnitude of the initial constriction response, and magnitude and time constant of the dilation response) were estimated for both the individuals and population. These parameters are independent of shear exposure. Thus, this approach produces identifiable and physiologically meaningful parameters that may provide additional information for comparing differences between experimental groups or over time, and provides a means to completely account for shear exposure.

  2. Congestion aware forwarding in delay tolerant and social opportunistic networks

    OpenAIRE

    Radenkovic, Milena; Grundy, Andrew

    2011-01-01

    We propose an approach for opportunistic forwarding that supports optimization of multipoint high volume data flow transfer while maintaining high buffer availability and low delays. This paper explores a number of social, buffer and delay heuristics to offload the traffic from congested parts of the network and spread it over less congested parts of the network in order to keep low delays, high success ratios and high availability of nodes. We conduct an extensive set of experiments for asse...

  3. On physical interpretation of two dimensional time-correlations regarding time delay velocities and eddy shaping

    Energy Technology Data Exchange (ETDEWEB)

    Fedorczak, N. [Center for Momentum Transport and Flow Organization, University of California at San Diego, San Diego, California 92093 (United States); CEA, IRFM, F-13108 Saint-Paul-Lez-Durance (France); Manz, P. [Center for Momentum Transport and Flow Organization, University of California at San Diego, San Diego, California 92093 (United States); Max-Planck-Institut feur Plasmaphysik, Association Euratom-IPP, 85748Garching (Germany); Thakur, S. C.; Xu, M.; Tynan, G. R. [Center for Momentum Transport and Flow Organization, University of California at San Diego, San Diego, California 92093 (United States); Xu, G. S.; Liu, S. C. [Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)

    2012-12-15

    Time delay estimation (TDE) techniques are frequently used to estimate the flow velocity from fluctuating measurements. Tilted structures carried by the flow lead to misinterpretation of the time delays in terms of velocity direction and amplitude. It affects TDE measurements from probes, and is also intrinsically important for beam emission spectroscopy and gas puff imaging measurements. Local eddy shapes estimated from 2D fluctuating field are necessary to gain a more accurate flow estimate from TDE, as illustrated by Langmuir probe array measurements. A least square regression approach is proposed to estimate both flow field and shaping parameters. The technique is applied to a test case built from numerical simulation of interchange fluctuations. The local eddy shape does not only provide corrections for the velocity field but also quantitative information about the statistical interaction mechanisms between local eddies and E Multiplication-Sign B flow shear. The technique is then tested on gaz puff imaging data collected at the edge of EAST tokamak plasmas. It is shown that poloidal asymmetries of the fluctuation fields-velocity and eddy shape-are consistent at least qualitatively with a ballooning type of turbulence immersed in a radially sheared equilibrium flow.

  4. 一个基于网格环境的安全信息流模型%Security Information Flow Model Based on Grid Environment

    Institute of Scientific and Technical Information of China (English)

    刘益和

    2011-01-01

    网格安全是网格中的一个重要组成部分,它直接影响着网格的发展和网格系统软件的实际应用.为了充分描述网格环境下的信息流动情况,扩展了一般网络环境下的主体、客体,利用客体的组织密级、密级、完整性等级来划分安全类,定义信息流策略,给出了一个基于网格环境的安全信息流模型.经严格的数学证明,新模型满足Denning 的信息流模型的有限格和最小上界运算符性质,是合理的、安全的,它是BLP模型、Biba模型对应的信息流模型的扩展,也是一般网络环境下的安全信息流模型的扩展,这对网格安全研究有一定的积极意义.%The grid security is an important component,and it directly affects the development of the grid and the practical application of grid system software. In order to fully describe the information flow based on grid environment, a new security information flow model based on grid environment was given, in which the safety class was divided and the information flow policy was defined by using the organization security classifications, classifications, and integrity grade of the object. In this article,the subject and the object were extended,and the concepts of the decomposition of the subject and object,and of organization security classification were defined. The strict mathematics verification shows that this new information flow model satisfies the character of finite lattice and least upper bound operator of the Denning's information flow model, it is reasonable and safe. It is an extension of information flow model contrast to BLP model's and Biba model's, but also the expansion of security information flow model based on the general network environment,and there has some positive significance for the study grid security.

  5. Language Delays in Toddlers: Information for Parents

    Science.gov (United States)

    ... child's speech ( expressive language ) and ability to understand speech and gestures ( receptive language ). Refer your child for evaluation through an early intervention program. What to expect after the doctor's visit If your child's doctor tells ...

  6. Echo-acoustic flow dynamically modifies the cortical map of target range in bats

    Science.gov (United States)

    Bartenstein, Sophia K.; Gerstenberg, Nadine; Vanderelst, Dieter; Peremans, Herbert; Firzlaff, Uwe

    2014-08-01

    Echolocating bats use the delay between their sonar emissions and the reflected echoes to measure target range, a crucial parameter for avoiding collisions or capturing prey. In many bat species, target range is represented as an orderly organized map of echo delay in the auditory cortex. Here we show that the map of target range in bats is dynamically modified by the continuously changing flow of acoustic information perceived during flight (‘echo-acoustic flow’). Combining dynamic acoustic stimulation in virtual space with extracellular recordings, we found that neurons in the auditory cortex of the bat Phyllostomus discolor encode echo-acoustic flow information on the geometric relation between targets and the bat’s flight trajectory, rather than echo delay per se. Specifically, the cortical representation of close-range targets is enlarged when the lateral passing distance of the target decreases. This flow-dependent enlargement of target representation may trigger adaptive behaviours such as vocal control or flight manoeuvres.

  7. Decrease of synaptic plasticity associated with alteration of information flow in a rat model of vascular dementia.

    Science.gov (United States)

    Xu, X; Li, Z; Yang, Z; Zhang, T

    2012-03-29

    This investigation examined whether the directional index of neural information flow (NIF) could be employed to characterize the synaptic plasticity in the CA3-CA1 pathway of the hippocampus and assessed which oscillatory rhythm was associated with cognitive impairments induced by vascular dementia (VD). Rats were randomly divided into control and VD groups. The animal model of VD used the two-vessel occlusion (2VO) method. Behavior was measured using the Morris water maze (MWM). Local field potentials (LFPs) from CA3 and CA1 were recorded after behavioral tests, followed by recording long-term potentiation (LTP) of the same CA3-CA1 pathway. General partial directed coherence (gPDC) approach was utilized to determine the directionality of NIF between CA3 and CA1 over five frequency bands, which were delta, theta, alpha, beta, and gamma. The results showed that the escape latencies were significantly prolonged in the VD group, whereas the swimming speeds of these two groups remained constant throughout testing. Moreover, the phase synchronization values between CA3 and CA1 regions were reduced in theta, alpha, beta, and gamma bands in the VD state compared to that in the normal state. The coupling directional index was considerably decreased in the previously given four frequency bands in VD rats, whereas the strength of CA3 driving CA1 was significantly reduced in the same frequency bands. Interestingly, LTP was significantly decreased in the VD group, which was consistent with the LFPs findings. The data suggest that the directionality index of NIF in these physiological oscillatory rhythms could be used as a measure of synaptic plasticity in the hippocampal CA3-CA1 pathway in VD states. The potential mechanism of the relationship between NIF direction and synaptic plasticity in VD state was discussed.

  8. Spatial warping by oriented line detectors can counteract neural delays

    Directory of Open Access Journals (Sweden)

    Don eVaughn

    2013-11-01

    Full Text Available The slow speed of neural transmission necessitates that cortical visual information from dynamic scenes will lag reality. The perceiving the present (PTP hypothesis suggests that the visual system can mitigate the effect of such delays by spatially warping scenes to look as they will in ~100 ms from now (Changizi, 2001. We here show that the Hering illusion, in which straight lines appear bowed, can be induced by a background of optic flow, consistent with the PTP hypothesis. However, importantly, the bowing direction is the same whether the flow is inward or outward. This suggests that if the warping is meant to counteract latencies, it is accomplished by a simple strategy that is insensitive to motion direction, and that works only under typical (forward-moving circumstances. We also find that the illusion strengthens with longer pulses of optic flow, demonstrating motion integration over ~80 ms. The illusion is identical whether optic flow precedes or follows the flashing of bars, exposing the spatial warping to be equally postdictive and predictive, i.e., peri-dictive. Additionally, the illusion is diminished by cues which suggest the bars are independent of the background movement. Collectively, our findings are consistent with a role for networks of visual orientation-tuned neurons (e.g., simple cells in primary visual cortex in spatial warping. We conclude that under the common condition of forward ego-motion, spatial warping counteracts the disadvantage of neural latencies. It is not possible to prove that this is the purpose of spatial warping, but our findings at minimum place constraints on the PTP hypothesis, demonstrating that any spatial warping for the purpose of counteracting neural delays is not a precise, on-the-fly computation, but instead a heuristic achieved by a simple mechanism that succeeds under normal circumstances.

  9. 基于信息不对称的物流金融风险缓释探讨%Researches Based on the Information Asymmetry of Logistics Financial Risks Delay Release

    Institute of Scientific and Technical Information of China (English)

    储雪俭; 胥丽莉

    2011-01-01

    As we all know that the present key problems of logistics financial are risk problems.Taking off from enhancing the practicability of logistics financial,the thesis adopts three-dimensional stereogram to analyze and concludes nine major risks.In allusion to these risks,the paper has carried on visualization design based on Internet of things and put forward relevant risk management approaches,which will provide suggestions and opinions for information asymmetry of logistics financial risks delay release.%风险是目前物流金融的关键问题。文章以增强物流金融的实用性为出发点,采用三维立体图分析得出了信息不对称下物流金融的九大风险。针对这些风险,文章进行了基于物联网的可视化设计,并提出了相应的风险管理方法,为信息不对称下物流金融风险的缓释提供了建议与意见。

  10. Information

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    There are unstructured abstracts (no more than 256 words) and structured abstracts (no more than 480). The specific requirements for structured abstracts are as follows:An informative, structured abstracts of no more than 4-80 words should accompany each manuscript. Abstracts for original contributions should be structured into the following sections. AIM (no more than 20 words): Only the purpose should be included. Please write the aim as the form of "To investigate/ study/..."; MATERIALS AND METHODS (no more than 140 words); RESULTS (no more than 294 words): You should present P values where appropnate and must provide relevant data to illustrate how they were obtained, e.g. 6.92 ± 3.86 vs 3.61 ± 1.67, P< 0.001; CONCLUSION (no more than 26 words).

  11. commensurate point delays

    Directory of Open Access Journals (Sweden)

    M. de la Sen

    2005-01-01

    nominal controller is maintained. In the current approach, the finite spectrum assignment is only considered as a particular case of the designer's choice of a (delay-dependent arbitrary spectrum assignment objective.

  12. The Assessment of Properties of the Information Flow in the Subsystem «The Measuring Sensor – The Processing Element»

    Directory of Open Access Journals (Sweden)

    Nikolaev Victor

    2016-01-01

    Full Text Available Analyzed the scope and types of automated information systems containing subsystems of the “measuring sensor – element processing”. On the basis of the Queuing theory a model of evaluating the properties of information flow in the subsystem. The time spent by the sensor data generation and processing time of the output data array to the processing elements described by an arbitrary distribution law. Using little’s formula the analytical solution allows to estimate the required level of performance of the subsystem. The research of the obtained solution in the range of parameters of interest. On the basis of General theoretical solutions identified four private practical case, different values of the coefficients of variation of information flows.

  13. Time Delay Cosmography

    OpenAIRE

    Treu, Tommaso; Marshall, Philip J.

    2016-01-01

    Gravitational time delays, observed in strong lens systems where the variable background source is multiply-imaged by a massive galaxy in the foreground, provide direct measurements of cosmological distance that are very complementary to other cosmographic probes. The success of the technique depends on the availability and size of a suitable sample of lensed quasars or supernovae, precise measurements of the time delays, accurate modeling of the gravitational potential of the main deflector,...

  14. Linking ecological sensitivity to hydrological information in perspective of flow-ecology compliance status and water management

    Science.gov (United States)

    Lathouri, Maria; Klaar, Megan; Hannah, David; Dunbar, Mike; Futter, Alison; England, Judy; Warren, Mark

    2016-04-01

    Increasing pressures and climate change effects on water resources suggest that we may need to re-consider flow regulations in the context of river ecological sensitivity to abstraction, and how this can be better integrated into flow standards. An increasing number of ecosystems have been identified as vulnerable to hydrological change. Different flow pressures, especially very low flows, can be can be very destructive to aquatic biodiversity. However, although this vulnerability is recognized, knowledge is lacking regarding the most ecologically sensitive regimes to hydrology and associated water stress and habitat disturbance. In addition, any interaction between hydromorphology and river ecology is still generally poorly understood - particularly in quantitative terms. To further understand the relationships between hydrology and ecology and to help us protect the long term future of the water environment for water resources management, the present study is focused on underpinning different aspects of flow pressures on ecology and establishing quantitative relationships between physicochemical factors, hydrological pressures and biological indicators. This includes carrying-out a review of existing typology approaches to grouping water bodies on the basis of similar ecological sensitivity to flow and therefore to evaluate the ecological impacts of the flow regime alterations. Explicitly generalised additive models are applied to demonstrate a relationship between ecology (macroinvertebrate) scores and flow pressure data, including geographical, geological and physical habitat conditions. This evidence base will to be used to further recommend ecologically appropriate flow regimes in rivers to help provide efficient flow management practices and support the classification of the ecological status under the Water Framework Directive.

  15. Simulation and ergonomics analysis of pilot visual information flow intensity%飞行员视觉信息流强度模拟及适人性分析

    Institute of Scientific and Technical Information of China (English)

    张慧姝; 庄达民; 马丁; 孙建

    2011-01-01

    In order to determine the reasonable information flow intensity of the flight task, a simulation model of aircraft information display interface was developed, in which the correct response rate and reaction time of subjects were used to evaluate the task performance. According to the experiments and data analysis, the results show that the intensity curve of visual information flow was consistent with the normal distribution in the established visual information flow model. The task performance is greatly influenced by different information flow. When the visual information flow increases to certain intensity, the identification become slow and the possibility of making errors increase. Under the same information flow, there are significant differences of identification and performance between the daytime operation and night operation, as well as between the static operation and dynamic operation. The identification and performance is better in the daytime than at night, and is better at static state than dynamic state.%为了合理地确定飞行员在执行飞行任务时的视觉信息流强度,开发了飞机座舱显示界面仿真模型,以被试的正确反应率和反应时间来评价作业绩效.通过实验和数据分析得到以下结果:所建立的视觉信息流模型中视觉信息流强度曲线符合正态分布.不同的视觉信息量完成任务差异显著,信息量增加到一定程度时辨识变慢,出现错误的几率升高;在相同视觉信息量情况下,夜晚与白天、动态与静态执行任务辨识和绩效差异显著,白天要比夜晚、静态要比动态辨识效率和绩效更好.

  16. Informing Hydrological Drought Response in Headwater Catchments Using Water Storage Estimated From GRACE: Storage-Flow Dynamics

    Science.gov (United States)

    Gaffney, R.; Tyler, S. W.; Harpold, A. A.; Volk, J. M.

    2015-12-01

    Quantifying the relationship between subsurface water storage and streamflow is challenging due to heterogeneity of surface-groundwater interactions in space and time. Hence, point measurements of storage from wells are insufficient to characterize the storage across a catchment, especially in mountainous environments with complex geology. Here, we present a novel approach to quantify the storage-flow relationship for catchments in the Sierra Nevada Mountains. For 23 gages in the Hydro-Climatic Data Network, the 7-day average annual minimum flow (drought flow) was computed for years 2003 to 2015. We then aggregated, for each gage, the associated storage time-series dataset from 1o gridded measurements of monthly Terrestrial Water Storage (TWS) derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Despite the significant mismatch between the spatial scales and temporal resolution, we found a strong empirical correlation between TWS and drought flow. From these relationships, we examined how physical characteristics of each catchment (such as size and geology) impact the observed nonlinear relationship between TWS and drought flow. Furthermore, we show how physical characteristics, such as geology/storage capacity, of catchments affect the sensitivity of decreasing flows to multi-year droughts. This research has the potential to help better quantify the streamflow-storage relationship in small mountainous catchments, as well as, classify catchments that may be more vulnerable to decreasing flows with multi-year droughts.

  17. Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers.

    Science.gov (United States)

    Utengen, Audun; Rouholiman, Dara; Gamble, Jamison G; Grajales Iii, Francisco Jose; Pradhan, Nisha; Staley, Alicia C; Bernstein, Liza; Young, Sean D; Clauson, Kevin A; Chu, Larry F

    2017-08-17

    Health care conferences present a unique opportunity to network, spark innovation, and disseminate novel information to a large audience, but the dissemination of information typically stays within very specific networks. Social network analysis can be adopted to understand the flow of information between virtual social communities and the role of patients within the network. The purpose of this study is to examine the impact engaged patients bring to health care conference social media information flow and how they expand dissemination and distribution of tweets compared to other health care conference stakeholders such as physicians and researchers. From January 2014 through December 2016, 7,644,549 tweets were analyzed from 1672 health care conferences with at least 1000 tweets who had registered in Symplur's Health Care Hashtag Project from 2014 to 2016. The tweet content was analyzed to create a list of the top 100 influencers by mention from each conference, who were then subsequently categorized by stakeholder group. Multivariate linear regression models were created using stepwise function building to identify factors explaining variability as predictor variables for the model in which conference tweets were taken as the dependent variable. Inclusion of engaged patients in health care conference social media was low compared to that of physicians and has not significantly changed over the last 3 years. When engaged patient voices are included in health care conferences, they greatly increase information flow as measured by total tweet volume (beta=301.6) compared to physicians (beta=137.3, Psocial media impressions created (beta=1,700,000) compared to physicians (beta=270,000, Pengagement in the tweet conversation as measured by replies to their tweets (beta=24.4) compared to physicians (beta=5.5, PSocial network analysis of hubs and authorities revealed that patients had statistically significant higher hub scores (mean 8.26×10-4, SD 2.96×10-4) compared

  18. Delay-dependent robust stability for neutral systems with mixed discrete-and-neutral delays

    Institute of Scientific and Technical Information of China (English)

    Yong HE; Min WU; Jinhua SHE

    2004-01-01

    This paper focuses on the problem of delay-dependent robust stability of neutral systems with different discrete-and-neutral delays and time-varying structured uncertainties.Some new criteria are presented,in which some free weighting matrices are used to express the relationships between the terms in the Leibniz-Newton formula.The criteria include the information on the size of both neutral-and-discrete delays.It is shown that the present results also include the results for identical discrete-and-neutral delays as special cases.A numerical example illustrates the improvement of the proposed methods over the previous methods and the influences between the discrete and neutral delays.

  19. Time Delay Cosmography

    CERN Document Server

    Treu, Tommaso

    2016-01-01

    Gravitational time delays, observed in strong lens systems where the variable background source is multiply-imaged by a massive galaxy in the foreground, provide direct measurements of cosmological distance that are very complementary to other cosmographic probes. The success of the technique depends on the availability and size of a suitable sample of lensed quasars or supernovae, precise measurements of the time delays, accurate modeling of the gravitational potential of the main deflector, and our ability to characterize the distribution of mass along the line of sight to the source. We review the progress made during the last 15 years, during which the first competitive cosmological inferences with time delays were made, and look ahead to the potential of significantly larger lens samples in the near future.

  20. Prediction of delayed subsidence

    Science.gov (United States)

    Burns, K.

    A predictive model of delayed subsidence is discussed. A numerical implementation is tested on one of the best-described study areas, Allegheny County in Pennsylvania. In planning insurance of restitution measures, a predictive model is of value in estimating the magnitude of the problem and the size of long-term budgetary commitments. Contrary to active subsidence, which occurs concurrently with mining operations, or is completed within a few days following coal extraction, delayed subsidence may take many years to appear at the surface after coal mines are abandoned. There are two principal morphological types of delayed subsidence: troughs, which are shallow depressions, and sinks, which are steep-sided crown pits. Both types are damaging to surface structures, and a variety of methods were introduced to deal with the problem, ranging from subsidence insurance to site restitution.

  1. Time delay cosmography

    Science.gov (United States)

    Treu, Tommaso; Marshall, Philip J.

    2016-07-01

    Gravitational time delays, observed in strong lens systems where the variable background source is multiply imaged by a massive galaxy in the foreground, provide direct measurements of cosmological distance that are very complementary to other cosmographic probes. The success of the technique depends on the availability and size of a suitable sample of lensed quasars or supernovae, precise measurements of the time delays, accurate modeling of the gravitational potential of the main deflector, and our ability to characterize the distribution of mass along the line of sight to the source. We review the progress made during the last 15 years, during which the first competitive cosmological inferences with time delays were made, and look ahead to the potential of significantly larger lens samples in the near future.

  2. Heat flow studies in the Steamboat Mountain-Lemei Rock area, Skamania County, Washington. Information circular 62

    Energy Technology Data Exchange (ETDEWEB)

    Schuster, J.E.; Blackwell, D.D.; Hammond, P.E.; Huntting, M.T.

    1978-01-01

    In order to investigate the possible occurrence of geothermal energy in areas of Quaternary basaltic volcanism, the Washington State Department of Natural Resources drilled several 152 m deep heat-flow holes in the Steamboat Mountain-Lemei Rock area of Skamania County, Washington. The study area is located in the southern part of Washington's Cascade Mountains between 45/sup 0/54' and 46/sup 0/07' N. and 121/sup 0/40' and 121/sup 0/53'W. This area was selected for study because geologic mapping had identified a north-trending chain of late Quaternary basaltic volcanoes that had extruded a sequence of lava flows up to 600 m thick and because the chain of volcanoes is areally coincident with a well-defined gravity low with a minimum value of about -110 mgals. Gradients of 52.7 and 53.4/sup 0/C/km and heat flows of 1.8 and 1.6 ..mu..cal/cm/sup 2/sec, respectively, were measured in two drill holes near the east flank of the chain of volcanoes. Gradients of 44.5 and 58/sup 0/C/km and heat flows of 1.3 and 1.6 ..mu..cal/cm/sup 2/ sec, respectively, were measured in two holes near the axis of the chain, and one gradient of 49.8/sup 0/C/km and heat flow of 1.5 ..mu..cal/cm/sup 2/ sec were measured in a drill hole near the west flank of the chain. All gradients and heat flows are terrain corrected. These heat-flow values are typical regional heat-flow values for the Cascade Mountains. The data show that there is no large-sized heat source body within the general area of the heat-flow study. However, there is only one location in Washington, also in the Cascade Mountains, where higher gradients have been measured.

  3. Delayed Random Relays

    CERN Document Server

    Ohira, Toru

    2016-01-01

    We present here a system with collection of random walks relaying a signal in one dimension with a presence of a delay. We are interested in the time for a signal to travel from one end (start) to the other end (finish) of the lined group of random walkers. It is found that there is an optimal number of walkers for the signal to travel fastest if the delay is present. We discuss implications of this model and associated behaviors to physical and biological systems.

  4. Approximation of distributed delays

    CERN Document Server

    Lu, Hao; Eberard, Damien; Simon, Jean-Pierre

    2010-01-01

    We address in this paper the approximation problem of distributed delays. Such elements are convolution operators with kernel having bounded support, and appear in the control of time-delay systems. From the rich literature on this topic, we propose a general methodology to achieve such an approximation. For this, we enclose the approximation problem in the graph topology, and work with the norm defined over the convolution Banach algebra. The class of rational approximates is described, and a constructive approximation is proposed. Analysis in time and frequency domains is provided. This methodology is illustrated on the stabilization control problem, for which simulations results show the effectiveness of the proposed methodology.

  5. The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis

    Science.gov (United States)

    Li, Fali; Tian, Yin; Zhang, Yangsong; Qiu, Kan; Tian, Chunyang; Jing, Wei; Liu, Tiejun; Xia, Yang; Guo, Daqing; Yao, Dezhong; Xu, Peng

    2015-10-01

    The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches.

  6. The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis.

    Science.gov (United States)

    Li, Fali; Tian, Yin; Zhang, Yangsong; Qiu, Kan; Tian, Chunyang; Jing, Wei; Liu, Tiejun; Xia, Yang; Guo, Daqing; Yao, Dezhong; Xu, Peng

    2015-10-05

    The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches.

  7. The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis

    Science.gov (United States)

    Li, Fali; Tian, Yin; Zhang, Yangsong; Qiu, Kan; Tian, Chunyang; Jing, Wei; Liu, Tiejun; Xia, Yang; Guo, Daqing; Yao, Dezhong; Xu, Peng

    2015-01-01

    The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches. PMID:26434769

  8. New delay-dependent stability criteria for neural networks with time-varying interval delay

    Energy Technology Data Exchange (ETDEWEB)

    Chen Jie, E-mail: chenjie@bit.edu.c [School of Automation, Beijing Institute of Technology, Beijing, 100081 (China); Sun Jian, E-mail: helios1225@yahoo.com.c [School of Automation, Beijing Institute of Technology, Beijing, 100081 (China); Liu, G.P., E-mail: gpliu@glam.ac.u [Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL (United Kingdom); CTGT Center in Harbin Institute of Technology, Harbin, 150001 (China); Rees, D., E-mail: drees@glam.ac.u [Faculty of Advanced Technology, University of Glamorgan, Pontypridd CF37 1DL (United Kingdom)

    2010-09-27

    The problem of stability analysis of neural networks with time-varying delay in a given range is investigated in this Letter. By introducing a new Lyapunov functional which uses the information on the lower bound of the delay sufficiently and an augmented Lyapunov functional which contains some triple-integral terms, some improved delay-dependent stability criteria are derived using the free-weighting matrices method. Numerical examples are presented to illustrate the less conservatism of the obtained results and the effectiveness of the proposed method.

  9. Delay Bounds for Multiclass FIFO

    OpenAIRE

    Jiang, Yuming; Misra, Vishal

    2016-01-01

    FIFO is perhaps the simplest scheduling discipline. For single-class FIFO, its delay guarantee performance has been extensively studied: The well-known results include a stochastic delay bound for $GI/GI/1$ by Kingman and a deterministic delay bound for $D/D/1$ by Cruz. However, for multiclass FIFO, few such results are available. To fill the gap, we prove delay bounds for multiclass FIFO in this work, considering both deterministic and stochastic cases. Specifically, delay bounds are present...

  10. Attoclock reveals natural coordinates of the laser-induced tunnelling current flow in atoms

    DEFF Research Database (Denmark)

    Pfeiffer, Adrian N.; Cirelli, Claudio; Smolarski, Mathias;

    2012-01-01

    the attoclock technique4 to obtain experimental information about the electron tunnelling geometry (the natural coordinates of the tunnelling current flow) and exit point. We confirm vanishing tunnelling delay time, show the importance of the inclusion of Stark shifts5, 6 and report on multi-electron effects...

  11. Investigation of Traditional and Lean Production’ s Information Flow with Information Theory%运用信息论对于传统和精益生产信息流的考察

    Institute of Scientific and Technical Information of China (English)

    杨国峰

    2015-01-01

    The information flow and communication of lean production and traditional production are total-ly different .Currently , there are few measurable assessment methods to measure and compare the efficiency of production system's information flow objectively .An assessment method using information theory was proposed in this paper to quantify the differences of both lean production and traditional production in regard of their informa -tion flows.An example of an assembly line was presented to validate the assessment method and to provide solid prove for the high efficiency of a lean production system .%精益生产与传统生产系统相比,其信息传递方式完全不同。针对现有对生产系统的研究中,由于缺乏有关信息传递模式的可量化评价方法,因此无法对信息传递效率做出客观量化评估的现状,提出了运用信息论的方法量化研究两者信息传递方式区别的评价方法,并以某组装生产线为例,验证该评价方法的有效性,为证明精益生产系统的高效性提供依据和支持。

  12. Uncertainty in the modelling of spatial and temporal patterns of shallow groundwater flow paths: The role of geological and hydrological site information

    Science.gov (United States)

    Woodward, Simon J. R.; Wöhling, Thomas; Stenger, Roland

    2016-03-01

    Understanding the hydrological and hydrogeochemical responses of hillslopes and other small scale groundwater systems requires mapping the velocity and direction of groundwater flow relative to the controlling subsurface material features. Since point observations of subsurface materials and groundwater head are often the basis for modelling these complex, dynamic, three-dimensional systems, considerable uncertainties are inevitable, but are rarely assessed. This study explored whether piezometric head data measured at high spatial and temporal resolution over six years at a hillslope research site provided sufficient information to determine the flow paths that transfer nitrate leached from the soil zone through the shallow saturated zone into a nearby wetland and stream. Transient groundwater flow paths were modelled using MODFLOW and MODPATH, with spatial patterns of hydraulic conductivity in the three material layers at the site being estimated by regularised pilot point calibration using PEST, constrained by slug test estimates of saturated hydraulic conductivity at several locations. Subsequent Null Space Monte Carlo uncertainty analysis showed that this data was not sufficient to definitively determine the spatial pattern of hydraulic conductivity at the site, although modelled water table dynamics matched the measured heads with acceptable accuracy in space and time. Particle tracking analysis predicted that the saturated flow direction was similar throughout the year as the water table rose and fell, but was not aligned with either the ground surface or subsurface material contours; indeed the subsurface material layers, having relatively similar hydraulic properties, appeared to have little effect on saturated water flow at the site. Flow path uncertainty analysis showed that, while accurate flow path direction or velocity could not be determined on the basis of the available head and slug test data alone, the origin of well water samples relative to the

  13. Topology identification of the complex networks with non-delayed and delayed coupling

    Science.gov (United States)

    Guo, Wanli; Chen, Shihua; Sun, Wen

    2009-10-01

    In practical situation, there exists many uncertain information in complex networks, such as the topological structures. So the topology identification is an important issue in the research of the complex networks. Based on LaSalle's invariance principle, in this Letter, an adaptive controlling method is proposed to identify the topology of a weighted general complex network model with non-delayed and delayed coupling. Finally, simulation results show that the method is effective.

  14. Topology identification of the complex networks with non-delayed and delayed coupling

    Energy Technology Data Exchange (ETDEWEB)

    Guo Wanli, E-mail: guowanliff@163.co [School of Mathematics and Statistics, Wuhan University, Wuhan 430072 (China); Chen Shihua; Sun Wen [School of Mathematics and Statistics, Wuhan University, Wuhan 430072 (China)

    2009-10-05

    In practical situation, there exists many uncertain information in complex networks, such as the topological structures. So the topology identification is an important issue in the research of the complex networks. Based on LaSalle's invariance principle, in this Letter, an adaptive controlling method is proposed to identify the topology of a weighted general complex network model with non-delayed and delayed coupling. Finally, simulation results show that the method is effective.

  15. Delayed breast implant reconstruction

    DEFF Research Database (Denmark)

    Hvilsom, Gitte B.; Hölmich, Lisbet R.; Steding-Jessen, Marianne;

    2012-01-01

    We evaluated the association between radiation therapy and severe capsular contracture or reoperation after 717 delayed breast implant reconstruction procedures (288 1- and 429 2-stage procedures) identified in the prospective database of the Danish Registry for Plastic Surgery of the Breast during...... reconstruction approaches other than implants should be seriously considered among women who have received radiation therapy....

  16. Delayed traumatic diaphragmatic hernia

    Science.gov (United States)

    Lu, Jing; Wang, Bo; Che, Xiangming; Li, Xuqi; Qiu, Guanglin; He, Shicai; Fan, Lin

    2016-01-01

    Abstract Background: Traumatic diaphragmatic hernias (TDHs) are sometimes difficult to identify at an early stage and can consequently result in diagnostic delays with life-threatening outcomes. It is the aim of this case study to highlight the difficulties encountered with the earlier detection of traumatic diaphragmatic hernias. Methods: Clinical data of patients who received treatment for delayed traumatic diaphragmatic hernias in registers of the First Affiliated Hospital of Xi’an Jiaotong University from 1998 to 2014 were analyzed retrospectively. Results: Six patients were included in this study. Left hemidiaphragm was affected in all of them. Most of the patients had a history of traffic accident and 1 a stab-penetrating injury. The interval from injury to developing symptoms ranged from 2 to 11 years (median 5 years). The hernial contents included the stomach, omentum, small intestine, and colon. Diaphragmatic injury was missed in all of them during the initial managements. All patients received operations once the diagnosis of delayed TDH was confirmed, and no postoperative mortality was detected. Conclusions: Delayed TDHs are not common, but can lead to serious consequences once occurred. Early detection of diaphragmatic injuries is crucial. Surgeons should maintain a high suspicion for injuries of the diaphragm in cases with abdominal or lower chest traumas, especially in the initial surgical explorations. We emphasize the need for radiographical follow-up to detect diaphragmatic injuries at an earlier stage. PMID:27512848

  17. 'No delays achiever'.

    Science.gov (United States)

    2007-05-01

    The latest version of the NHS Institute for Innovation and Improvement's 'no delays achiever', a web based tool created to help NHS organisations achieve the 18-week target for GP referrals to first treatment, is available at www.nodelaysachiever.nhs.uk.

  18. Permissible Delay in Payments

    Directory of Open Access Journals (Sweden)

    Yung-Fu Huang

    2007-01-01

    Full Text Available The main purpose of this paper wants to investigate the optimal retailer's lot-sizing policy with two warehouses under partially permissible delay in payments within the economic order quantity (EOQ framework. In this paper, we want to extend that fully permissible delay in payments to the supplier would offer the retailer partially permissible delay in payments. That is, the retailer must make a partial payment to the supplier when the order is received. Then the retailer must pay off the remaining balance at the end of the permissible delay period. In addition, we want to add the assumption that the retailer's storage space is limited. That is, the retailer will rent the warehouse to store these exceeding items when the order quantity is larger than retailer's storage space. Under these conditions, we model the retailer's inventory system as a cost minimization problem to determine the retailer's optimal cycle time and optimal order quantity. Three theorems are developed to efficiently determine the optimal replenishment policy for the retailer. Finally, numerical examples are given to illustrate these theorems and obtained a lot of managerial insights.

  19. The reasons for delay lumbar puncture

    Directory of Open Access Journals (Sweden)

    MH. Lotfi

    2017-04-01

    Full Text Available Early diagnosis of meningitis and encephalitis and prompt initiation of appropriate therapy is vital and any delay will lead to high mortality and serious and permanent morbidity. The main purpose of this study was to evaluate the management of 220 patients with suspected central nervous system (CNS infections (meningitis and encephalitis to determine the percentage of patients’ suspected CNS infection undergo lumbar puncture in acceptable time (in accordance with conventional algorithms. In this descriptive study, patients with suspected CNS infections admitted to Bu-Ali and Qods hospitals, in the period July 2013 to December 2015 were studied. Information of 220 patients was collected. Continuous variables were summarized as means ± standard deviation and categorical variables as frequencies and percentages. Lumbar puncture (LP in patients was delayed in 200 cases (91%. Most common causes of delay in performing LP were prolongation of the process of determining patient needs to puncture, satisfying patients, CT scan delay and the delay in allowing LP by neurologist. In this study, delaying LP rate was higher than other studies. It seems certain pattern in assistants’ visits for counseling. CT requests and neurologic consultation before LP performed for all adult patients.

  20. Improving traffic flow at a 2-to-1 lane reduction with wirelessly connected, adaptive cruise control vehicles

    CERN Document Server

    Davis, L C

    2015-01-01

    Wirelessly connected vehicles that exchange information about traffic conditions can reduce delays caused by congestion. At a 2-to-1 lane reduction, the improvement in flow past a bottleneck due to traffic with a random mixture of 40% connected vehicles is found to be 52%. Control is based on connected-vehicle-reported velocities near the bottleneck. In response to indications of congestion the connected vehicles, which are also adaptive cruise control vehicles, reduce their speed in slowdown regions. Early lane changes of manually driven vehicles from the terminated lane to the continuous lane are induced by the slowing connected vehicles. Self-organized congestion at the bottleneck is thus delayed or eliminated, depending upon the incoming flow magnitude. For the large majority of vehicles, travel times past the bottleneck are substantially reduced. Control is responsible for delaying the onset of congestion as the incoming flow increases. Adaptive cruise control increases the flow out of the congested stat...