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Добірка наукової літератури з теми "Critical network"

Автор: Grafiati

Опубліковано: 1 березня 2025

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Статті в журналах з теми "Critical network"

&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 4, no. 1 (January 1985): 7–9. http://dx.doi.org/10.1097/00003465-198501000-00002.

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&NA;. "Critical Care Network." Dimensions of Critical Care Nursing 4, no. 2 (March 1985): 69. http://dx.doi.org/10.1097/00003465-198503000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 4, no. 3 (May 1985): 135–37. http://dx.doi.org/10.1097/00003465-198505000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 4, no. 5 (September 1985): 261–63. http://dx.doi.org/10.1097/00003465-198509000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 1 (January 1986): 5–7. http://dx.doi.org/10.1097/00003465-198601000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 2 (March 1986): 70. http://dx.doi.org/10.1097/00003465-198603000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 3 (May 1986): 134–35. http://dx.doi.org/10.1097/00003465-198605000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 4 (July 1986): 194. http://dx.doi.org/10.1097/00003465-198607000-00001.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 5 (September 1986): 260–62. http://dx.doi.org/10.1097/00003465-198609000-00002.

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&NA;. "Critical Care NETWORK." Dimensions of Critical Care Nursing 5, no. 6 (November 1986): 327. http://dx.doi.org/10.1097/00003465-198611000-00002.

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Дисертації з теми "Critical network"

Holifield, Gregory. "CHARACTERIZATION OF CRITICAL NETWORK COMPONENTS OF COUPLED OSCILLATORS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2691.

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Анотація:

This dissertation analyzes the fundamental limits for the determination of the network structure of loosely coupled oscillators based on observing the behavior of the network, specifically, node synchronization. The determination of the requisite characteristics and underlying behaviors necessary for the application of a theoretical mechanism for determining the underlying network topology in a network of loosely coupled natural oscillators are the desired outcome. To that end, this effort defines an analytical framework where key components of networks of coupled oscillators are isolated in order to determine the relationships between the various components. The relationship between the number of nodes in a network, the number of connections in the network, the number of connections of a given node, the distribution of the phases of the network, and the resolution of measurement of the components of the network, and system noise is investigated.
Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering

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Shepherd, S. C. "Understanding networks : an examination of doctor engagement in a clinical network : the case of Mid Trent Critical Care Network." Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/27718/.

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Within the field of health care, this study has addressed a lack of current research exploring social aspects of a clinical network. In presenting the final stage of this study, this document focusses on the engagement experience from a medical viewpoint. This is topical and of interest, as doctor engagement in the NHS is associated with enhanced organisational performance and improved patient care. There is little previous empirical research exploring the engagement experience from the perspective of doctors working in a clinical network. The final stage of this research study therefore presents a new theoretical understanding of this subject area. Throughout the study, the author has demonstrated that clinical engagement is at the heart of a successful clinical network. The study is qualitative in nature and takes an interpretive epistemological orientation. Data is gathered through a number of research methods and doctors’ perceptions of engagement are explored through emerging narrative accounts. Findings from this research study indicate that choice of engagement leads to both the engaged doctor, and the reluctant manager, and has highlighted that choice of engagement is influenced by a perceived internal and external conflict. Outcomes confirm that doctors will choose to engage when they have a personal interest and commitment, feel that they are listened to and have a voice, perceive that they are valued and respected, are involved and able to influence, have power and respect and where the environment that they work in fosters collaboration, facilitates the sharing of expertise and specialised knowledge and offers both personal and professional support leading to improved patient care. Exploring why doctors choose to engage in a clinical network has confirmed the requirement to create a culture for engagement and identified that successful engagement leads to improved patient care, a factor that has been constant throughout this research study.

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Qiang, Qiang. "Network efficiency/performance measurement with vulnerability and robustness analysis with application to critical infrastructure." Amherst, Mass. : University of Massachusetts Amherst, 2009. http://scholarworks.umass.edu/dissertations/AAI3372272/.

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Skjaevesland, Ola. "Optimizing network design in regards of critical streaming media." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17134.

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Анотація:

When designing networks intended to carry real-time media that is critical to arrive several aspects must be considered. For instance, the network must have redundant connectivity, should this traffic (and if so, how) be prioritized in networks where other traffic also travel, which technology is best in the given situation etc. This report will describe technologies that can solve these problems after which some of some of them will be tested in laborations to see how well they measure up in a given problem. The report establishes that in a self-governed LAN link aggregation in collaboration with Virtual Router Redundancy Protocol is a solid solution for providing redundancy with fast reconvergence. On WAN-connections and other shared networks Quality of Service rules should be implemented and in the case of Internet Service Providers a Service Level Agreement should be established.

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Andersson, Karl. "Mapping out dependencies in network components in critical infrastructure." Thesis, Linköpings universitet, Programvara och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143981.

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Companies that operate with critical infrastructure face a growing threat from cyber-attacks while at the same time the development in the business is rapidly moving towards a higher level of digitalization. A common type of system in critical infrastructure is supervisory control and data acquisition systems, these systems have properties that can affect their security and will therefore serve as the basis for this thesis work. To stay protected despite systems changes, companies need to make risk assessments in order to analyze how changes will affect the overall system. One thing that is important to focus on is dependencies within the system, this means that not only interaction among computers and networks are concerned but instead a more holistic view of the system need to be considered. This thesis aims to aid the process of a future risk assessment by providing a methodology to be used as a preparatory step before a risk assessment by describing the current situation of the system. This is done by evaluating two system modeling approaches, and also by proposing a number of perspectives that each provides different kind of information about the system’s dependencies. These perspectives are then evaluated by creating system models and dependency graphs, and discussing the outcomes with experts in a utility company to find out their applicability. According to the experts, the proposed perspectives have promising properties that can be useful in future risk assessments as well as in other scenarios. Moreover, the evaluated modeling approaches got positive comments during evaluation and are considered to serve their purpose.

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Felemban, Emad. "Protocols for Mission-Critical Wireless Sensor Networks." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250184419.

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Asif, W. "Critical node identifcation for accessing network vulnerability : a necessary consideration." Thesis, City, University of London, 2016. http://openaccess.city.ac.uk/16398/.

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Timely identification of critical nodes is crucial for assessing network vulnerability and survivability. This thesis presents two new approaches for the identification of critical nodes in a network with the first being an intuition based approach and the second being build on a mathematical framework. The first approach which is referred to as the Combined Banzhaf & Diversity Index (CBDI) uses a newly devised diversity metric, that uses the variability of a node’s attributes relative to its neighbours and the Banzhaf power index which characterizes the degree of participation of a node in forming the shortest path route. The Banzhaf power index is inspired from the theory of voting games in game theory whereas, the diversity index is inspired from the analysis and understanding of the influence of the average path length of a network on its performance. This thesis also presents a new approach for evaluating this average path length metric of a network with reduced computational complexity and proposes a new mechanism for reducing the average path length of a network for relatively larger network structures. The proposed average path length reduction mechanism is tested for a wireless sensor network and the results compared for multiple existing approaches. It has been observed using simulations that, the proposed average path length reduction mechanism outperforms existing approaches by reducing the average path length to a greater extent and with a simpler hardware requirement. The second approach proposed in this thesis for the identification of critical nodes is build on a mathematical framework and it is based on suboptimal solutions of two optimization problems, namely the algebraic connectivity minimization problem and a min-max network utility problem. The former attempts to address the topological as- pect of node criticality whereas, the latter attempts to address its connection-oriented nature. The suboptimal solution of the algebraic connectivity minimization problem is obtained through spectral partitioning considerations. This approach leads to a distributed solution which is computationally less expensive than other approaches that exist in the literature and is near optimal, in the sense that it is shown through simulations to approximate a lower bound which is obtained analytically. Despite the generality of the proposed approaches, this thesis evaluates their performance on a wireless ad hoc network and demonstrates through extensive simulations that the proposed solutions are able to choose more critical nodes relative to other approaches, as it is observed that when these nodes are removed they lead to the highest degrada- tion in network performance in terms of the achieved network throughput, the average network delay, the average network jitter and the number of dropped packets.

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Kling, Joseph A. "Examining Critical Material Supply Chains Through a Bayesian Network Model." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928265.

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Анотація:

The United States economic and national security sectors remain vulnerable to shortages of critical materials due to the risks posed by disruptions in globally-dispersed supply networks. Numerous methods over the past 10 years have been proposed to identify, assess, and evaluate risks in critical material supply chains. This praxis provides a method to quantify the impact of supply disruptions and inform the application of risk mitigation measures for a critical material supply chain from mineral deposits to final platform. It proposes a Bayesian network modeling method not yet applied to the problem in publicly available studies and fits with an assessment methodology proposed by the National Science and Technology Center (NSTC). Results from this study provide indicative answers to how supply disruptions propagate through a selected critical material supply network, which nodes are vulnerable to supply disruptions, and whether mitigating actions can reduce the impact of supply disruptions. The approach here demonstrates that a Bayesian network model can be one of the tools in a criticality assessment methodology.

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Kock, Gustav, and Max Rådelius. "Payair – Reaching for critical mass." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-233780.

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The mobile payments industry has in recent years experienced large growth and rapid changes. Several different actors are trying to capture the market, to get enough users of their system to reach critical mass. This study investigates how a small Swedish mobile payments company have utilized its business network in their strive to reach critical mass, both in their domestic market and internationally. The study intends to describe how the company has developed its network and which stages of the network development that have been the most important. We utilize the ARA-model to analyze the business network and the Uppsala Model and born global theory to define how the company has internationalized. Our main results indicate that our case company has the mindset of a born global but the particulars of the industry have forced it to internationalize following the Uppsala Model. The development of the business network have to a large part been dependent of the initial activities since this builds the credibility needed to work with large actors. Moreover the business network is found to not only help the company, but to be essential for their plans on reaching critical mass.

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McCausland, Jamieson. "A Proactive Risk-Aware Robotic Sensor Network for Critical Infrastructure Protection." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30328.

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In this thesis a Proactive Risk-Aware Robotic Sensor Network (RSN) is proposed for the application of Critical Infrastructure Protection (CIP). Each robotic member of the RSN is granted a perception of risk by means of a Risk Management Framework (RMF). A fuzzy-risk model is used to extract distress-based risk features and potential intrusion-based risk features for CIP. Detected high-risk events invoke a fuzzy-auction Multi-Robot Task Allocation (MRTA) algorithm to create a response group for each detected risk. Through Evolutionary Multi-Objective (EMO) optimization, a Pareto set of optimal robot configurations for a response group will be generated using the Non-Dominating Sorting Genetic Algorithm II (NSGA-II). The optimization objectives are to maximize sensor coverage of essential spatial regions and minimize the amount of energy exerted by the response group. A set of non-dominated solutions are produced from EMO optimization for a decision maker to select a single response. The RSN response group will re-organize based on the specifications of the selected response.

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Книги з теми "Critical network"

Lockyer, K. G. Project management and project network techniques: Seventh edition of Critical path analysis and other network techniques. 7th ed. Harlow: Financial Times Prentice Hall, 2005.

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Lockyer, K. G. Critical path analysis and other project network techniques. 5th ed. London: Pitman, 1991.

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Evans, Markuson Barbara, Woods Elaine W, and Networks for Networkers Conference (2nd : 1990 : Washington Dulles International Airport (Va.)), eds. Networks for networkers II: Critical issues for libraries in the national network environment. New York: Neal-Schuman Publishers, 1993.

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Jandrić, Petar. Kritičko e-obrazovanje: Borba za moć i značenje u umreženom društvu. Zagreb: TVZ, 2012.

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Research Institute for Advanced Computer Science (U.S.), ed. Fairness of channel access for non-time-critical traffic using the FDDI token ring protocol. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, 1986.

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Rose, Louis De. The value network: Integrating the five critical processes that create customer satisfaction. New York: AMACOM, 1994.

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Parker, James N., and Philip M. Parker. Critical care: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Mitropoulos, I. Supplier/buyer network modelling: A critical analysis and evaluation from a practical perspective. Manchester: UMIST, 1993.

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Thiroux, Emily. The critical edge: Thinking and researching in a virtual society. Upper Saddle River, NJ: Prentice Hall, 1999.

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Eyerdam, Pamela J. Using Internet primary sources to teach critical thinking skills in the visual arts. Westport, Conn: Libraries Unlimited, 2003.

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Частини книг з теми "Critical network"

Wisniewski, Mik, and Jonathan H. Klein. "Critical Path Network Software." In Linear Programming/Critical Path Analysis, 148–56. London: Macmillan Education UK, 2001. http://dx.doi.org/10.1007/978-1-4039-3769-8_9.

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Lad, Sagar. "Network Security Patterns." In Azure Security For Critical Workloads, 65–83. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8936-5_3.

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Laprie, Jean-Claude. "Dependability of Software-Based Critical Systems." In Dependable Network Computing, 3–19. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4549-1_1.

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Wisniewski, Mik, and Jonathan H. Klein. "Critical Path Network Analysis Techniques." In Linear Programming/Critical Path Analysis, 119–47. London: Macmillan Education UK, 2001. http://dx.doi.org/10.1007/978-1-4039-3769-8_8.

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Gabrielli, Andrea, Valentina Macchiati, and Diego Garlaschelli. "Critical Density for Network Reconstruction." In Lecture Notes in Computer Science, 223–49. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55248-9_11.

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Chen, Xin W. "Interdependent Critical Infrastructures." In Network Science Models for Data Analytics Automation, 17–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96470-2_2.

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Edwards, Dr Jason. "Network Infrastructure Management." In Critical Security Controls for Effective Cyber Defense, 339–70. Berkeley, CA: Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0506-6_12.

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Bsufka, Karsten, Olaf Kroll-Peters, and Sahin Albayrak. "Intelligent Network-Based Early Warning Systems." In Critical Information Infrastructures Security, 103–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11962977_9.

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Hintze, Kyle, Scott Graham, Stephen Dunlap, and Patrick Sweeney. "InfiniBand Network Monitoring: Challenges and Possibilities." In Critical Infrastructure Protection XV, 187–208. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93511-5_9.

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Sydow, Jörg. "Managing projects in network contexts: a structuration perspective." In Making Projects Critical, 252–64. London: Macmillan Education UK, 2006. http://dx.doi.org/10.1007/978-0-230-20929-9_13.

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Тези доповідей конференцій з теми "Critical network"

Ojaghi, Behnam, Ricard Vilalta, and Raül Muñoz. "Critical5G-Net: Addressing Critical Node Impact on Lifetime and Latency in IoT Networks." In 2024 15th International Conference on Network of the Future (NoF), 238–44. IEEE, 2024. http://dx.doi.org/10.1109/nof62948.2024.10741469.

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Desbrulais, Steven, Vincent Lemaire, Loic Le Gall, and Christophe Mathieu. "Association of submarine cable reliability and network protection for very high availability transoceanic transmission networks." In Critical Review Collection. SPIE, 1999. http://dx.doi.org/10.1117/12.361076.

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Kang, S. M., John W. Lockwood, and Haoran Duan. "Scalable optoelectronic ATM network for workstations." In Critical Review Collection. SPIE, 1994. http://dx.doi.org/10.1117/12.192202.

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Heider, George. "Integrated Services Digital Network (ISDN) update." In Critical Review Collection. SPIE, 1994. http://dx.doi.org/10.1117/12.192208.

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Flannery, David L., and Steven C. Gustafson. "Adaptive optical correlation using neural network approaches." In Critical Review Collection. SPIE, 1992. http://dx.doi.org/10.1117/12.59847.

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Johnsson, S. Lennart. "Network-related performance issues and techniques for MPPs." In Critical Review Collection. SPIE, 1996. http://dx.doi.org/10.1117/12.229263.

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Kumar, Rakesh, Vignesh Babu, and David Nicol. "Network Coding for Critical Infrastructure Networks." In 2018 IEEE 26th International Conference on Network Protocols (ICNP). IEEE, 2018. http://dx.doi.org/10.1109/icnp.2018.00061.

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Rocks, Manfred, Armin Ehrhardt, Andreas Gladisch, Norbert Hanik, and Georg Lehr. "WDM application in the network of Deutsche Telekom AG." In Critical Review Collection. SPIE, 1999. http://dx.doi.org/10.1117/12.335918.

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McClure, Stacey. "Integrated Services Digital Network (ISDN) deployment strategies and service options." In Critical Review Collection. SPIE, 1994. http://dx.doi.org/10.1117/12.192192.

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Terry, Jack B. "Fiber to the digitally passive coax: the multimedia delivery network of the future?" In Critical Review Collection. SPIE, 1994. http://dx.doi.org/10.1117/12.192193.

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Звіти організацій з теми "Critical network"

Chavez, Adrian R., Mitchell Tyler Martin, Jason Hamlet, William M. S. Stout, and Erik Lee. Network Randomization and Dynamic Defense for Critical Infrastructure Systems. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1179040.

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Bielinskyi, Andrii O., and Vladimir N. Soloviev. Complex network precursors of crashes and critical events in the cryptocurrency market. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2881.

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Анотація:

This article demonstrates the possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex networks have been used. The possibility of constructing dynamic measures of network complexity behaving in a proper way during actual pre-crash periods has been shown. This fact is used to build predictors of crashes and critical events phenomena on the examples of all the patterns recorded in the time series of the key cryptocurrency Bitcoin, the effectiveness of the proposed indicators-precursors of these falls has been identified.

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Peeta, Srinivas, and Georgios Kalafatas. Critical Route Network for Earthquake Response and Dynamic Route Analysis. West Lafayette, IN: Purdue University, 2007. http://dx.doi.org/10.5703/1288284314232.

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Humphrey, John. Promoting SME's through Enterprise Network. Inter-American Development Bank, March 1999. http://dx.doi.org/10.18235/0006803.

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Анотація:

This presentation discusses the promotion of SMEs through enterprise networks. Some of the benefits of clustering can be obtained through the promotion of networks of enterprises, often numbering between 10 and 20 firms. The role of the network broker is critical in establishing networks, but so too is the need to focus networks on practical and achievable goals. This presentation was prepared for the International Conference: "Building a modern and effective development services industry for small enterprises in Latin America and the Caribbean" held in Rio de Janeiro, Brazil on March 3rd-5th, 1999.

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Nordstrom, Jenifer. Computer Network Connection for the Advanced Test Reactor Critical (ATR-C) Facility. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1483598.

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Hauser, Tom, Jim Graham, Penny Koerner, and Faye Davis. A Fully Integrated Global Strategic Supply Network - A Critical Enabler of DoD Transformation. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada436505.

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Rentel, Carlos. Test Plan of the Anticipatory Wirelss Sensor Network for the Critical Energy Infrastructure. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/920621.

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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex network of key cryptocurrencies. It is shown that some of the spectral and topological characteristics can serve as measures of the complexity of the stock and crypto market, and their specific behaviour in the pre-crisis period is used as indicators- precursors of critical phenomena.

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Varin, Priam, Yishen Sun, and Wesley Garey. Test scenarios for mission critical push-to-talk (MCPTT) off-network mode protocols implementation. Gaithersburg, MD: National Institute of Standards and Technology, October 2018. http://dx.doi.org/10.6028/nist.ir.8236.

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Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-020.

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Quantum communication was demonstrated using autonomous vehicle-to-vehicle (V2V), as well as autonomous vehicle-to-infrastructure (V2I). Supporting critical subsystems including compact size, weight, and power (SWaP) quantum sources; optical systems; and pointing, acquisition, and tracking (PAT) subsystems were designed, developed, and tested. Novel quantum algorithms were created and analyzed, including quantum position verification (QPV) for mobile autonomous vehicles. The results of this research effort can be leveraged in support of future cross-platform, mobile quantum communication networks that provide improved security, more accurate autonomous sensors, and connected quantum computing nodes for next-generation, smart-infrastructure systems.

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