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Добірка наукової літератури з теми "Density of the network environment"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Density of the network environment"

1

Pearce, Daniel M., Ryoji Matsunaka, and Tetsuharu Oba. "Analysing the Impact of Pedestrian Network Centrality on Segment-Level Pedestrian Density." Journal of Advanced Transportation 2021 (December 21, 2021): 1–13. http://dx.doi.org/10.1155/2021/3061567.

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Анотація:
Studies have shown that street network centrality measures are capable of explaining a significant proportion of pedestrian activity. These studies typically employ street centreline networks that differ significantly from the networks that pedestrians use to traverse the built environment. Presently, centrality approaches are rarely applied to dedicated pedestrian network (DPNs). This creates uncertainty regarding their ability to explain pedestrian activity when derived from DPNs. This study addresses that gap by investigating the extent to which centrality metrics derived from DPNs can explain observed pedestrian densities, both alone and when controlling for other built environment variables in metro station environments in Asia. In total, four DPNs were created centred on metro stations in Bangkok, Manila, Osaka, and Taipei chosen to represent different urban typologies. Multivariate results show that centrality metrics alone explain a mere 6–24% of observed pedestrian densities when calculated on DPNs. When all factors are considered, the contribution of centrality remained consistent in most study sites but is somewhat reduced with land-use variables and proximity to rail transit revealed as the strongest predictors of pedestrian density. Pedestrian design factors were also frequently associated with pedestrian density. Finally, stronger associations between centrality and pedestrian densities were observed in the denser, more complex pedestrian environments. These findings provide insight into the performance of centrality measures applied to DPNs expanding pedestrian network research in this area.
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2

S., Annie Christila, and Dr Sivakumar R. "An Empirical Review of DDOS Attack Mitigation System on SDN Using Cloud Environment." Webology 19, no. 1 (January 20, 2022): 283–94. http://dx.doi.org/10.14704/web/v19i1/web19022.

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The separation of the control plane and the network data plane from the network defined by the software is making it easier for network management. As a result, SDN can be used in a variety of network settings, including network hiring networks. However, the construction of the novel network raises new security issues. Dedicated Shared Denial (DDoS) is easy to distribute and hard to protect on standard networks; on SDN networks, it can bypass the central controllers and bring the entire network down. Cloud computing has emerged as a modern and exciting computer space over the past decade, providing an affordable and awesome computer space. SDN technology combined with cloud computing highlights the challenges of cloud communication and enhances cloud adaptability, configuration, intelligence, and extreme density. Sensitive features of SDN, such as global network coverage, software-based traffic analysis, integrated network management, etc., greatly enhance the acquisition of DDoS cloud capabilities and scalability capabilities. In this study, a major effort was made to compare the various solutions currently available for programs to reduce DDoS attacks in cloud environments using SDN and provided performance tests such as detection rate, recovery time and False positive Rate.
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3

Mittal, Archak, Hani S. Mahmassani, and Alireza Talebpour. "Network Flow Relations and Travel Time Reliability in a Connected Environment." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (January 2017): 24–37. http://dx.doi.org/10.3141/2622-03.

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Анотація:
Connected vehicle technology provides the opportunity to create a connected network of vehicles and infrastructure. In such a network, individual vehicles can communicate with each other and with the infrastructure, including a traffic management center. The effects of connectivity on reducing congestion and improving throughput and reliability have been extensively investigated at the segment (facility) level. To complement the segment-level studies and to assess the large-scale effects of connectivity, this paper presents a networkwide evaluation of the effect of connectivity on travel time reliability. This study uses a microscopic simulation framework to establish the speed–density relationships at different market penetration rates (MPRs) of connected vehicles. Calibrated speed–density relationships are then used as inputs to the mesoscopic simulation tools to simulate the networkwide effects of connectivity. The Chicago, Illinois, and Salt Lake City, Utah, networks are simulated. Numerical results from the simulations confirm that the linear relationship between distance-weighted travel time rate and standard deviation holds for both networks and is not affected by either the demand level or the MPR of connected vehicles. In addition, with an increase in the MPR of connected vehicles, the network attains a lower maximum density and gets an increased flow rate for the same density level. Highly connected environment has the potential to help a congested network to recover from a breakdown and avoid gridlock. It is shown that a connected environment can improve a system’s performance by providing increased traffic flow rate and better travel time reliability at all demand levels.
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4

Goutam, Siddharth, and Srija Unnikrishnan. "Algorithm for Vertical Handover Decision in Vehicular Environment." Journal of Information Technology Research 14, no. 1 (January 2021): 92–109. http://dx.doi.org/10.4018/jitr.2021010106.

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Анотація:
In the present scenario, co-existence of various wireless networks necessitates efficient vertical handover decision algorithms to maintain cost effective seamless connectivity across various networks, as the user is moving from one place to another. In this paper, the authors have presented a vertical handover decision algorithm which calculates a fitness value for each available network based on received signal strength, channel capacity, cost, battery life, velocity, and quality of service (QoS). In addition, the travelling speed of the user and the vehicular density at that time is used to capture the handover track of the user for network management. An alternate model using fuzzy inference system is also presented.
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5

Rauf, Moina, and Zahid Pervaiz. "Replacing Contracts with Handshakes: A Study of Social Networks of Entrepreneurs in the Weaving Sector." Pakistan Development Review 55, no. 4I-II (December 1, 2016): 331–48. http://dx.doi.org/10.30541/v55i4i-iipp.331-348.

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Анотація:
Informal institutions like kinship based networks play a crucial role in business activity. The flow of information in such networks, based on trust and reciprocity helps in creating an environment where opportunism is curtailed and relational based governance mechanism prevails. This paper studies, whether such factors play a role as an alternative governance mechanism for contracts as opposed to the formal institutions or not. The effectiveness of such network factors hinges on the network structure, and therefore network density and network size are taken as independent variables. Though network density was positively and significantly related to the use of social networks for management of breach of contracts, network size was negatively related to management of breach of contracts. Network size and network density were positively related to ex-post transaction costs of dispute resolutions however, they were not statistically significant. JEL Classification: D850, O17, L14 Keywords: Social Capital, SMEs, Transaction Costs, Entrepreneurship, Networks
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6

Kang, Qinqing. "A High Density WSN Cluster Positioning Approach." International Journal of Mobile Computing and Multimedia Communications 12, no. 2 (April 2021): 1–17. http://dx.doi.org/10.4018/ijmcmc.2021040101.

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Анотація:
Node self-positioning is one of the supporting technologies for wireless sensor network applications. In this paper, a clustering localization algorithm is proposed for large-scale high-density wireless sensor networks. Firstly, the potential of the node is defined as the basis for the election of the cluster head. The distance between the nodes in the network is calculated indirectly by the relationship between the received signal strength and the communication radius. The topology information in each cluster is saved by the cluster head, and the linear programming method is used in the cluster head to implement the cluster internal relative positioning. Then, from the sink node, the inter-cluster location fusion is gradually implemented, and finally the absolute positioning of the whole network is realized. Compared with the centralized convex programming algorithm, the proposed algorithm has low computational complexity, small traffic, high positioning accuracy, and does not need to know the signal attenuation factor in the environment in advance, and there is anti-noise ability.
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7

Wu, Zhizhou, Yiming Zhang, Guishan Tan, and Jia Hu. "The research of traffic density extraction method under vehicular ad hoc network environment." Journal of Intelligent and Connected Vehicles 2, no. 1 (August 29, 2019): 25–32. http://dx.doi.org/10.1108/jicv-01-2019-0003.

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Анотація:
Purpose Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create better conditions for collecting the whole time-space and refined traffic data, which provides a new approach to solving this problem. Design/methodology/approach On that basis, a real-time traffic density extraction method has been proposed, including lane density, segment density and network density. Meanwhile, using SUMO and OMNet++ as traffic simulator and network simulator, respectively, the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed. Findings Based on the simulation platform, a simulated intersection in Shanghai was developed to investigate the adaptability of the model. Originality/value Most research studies use separate simulation methods, importing trace data obtained by using from the simulation software to the communication simulation software. In this paper, the tight coupling simulation method is applied. Using real-time data and history data, the research focuses on the establishment and validation of the traffic density extraction model.
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8

Xu, Meng. "The Influence of Alliance Innovation Network Structure upon Enterprise Innovation: A Case Study of China’s Energy-Saving and Environment-protection Industry." International Journal of Business and Management 13, no. 2 (January 14, 2018): 208. http://dx.doi.org/10.5539/ijbm.v13n2p208.

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The Energy-saving and environment-protection industry, an important strategic and emerging industry in China, will develop into a pillar industry. In view of global climate change, environmental pollution, resource depletion and the defects and deficiencies in traditional technology, technology and product innovation constitute the lifeline of energy-saving and environment-protection industry. The alliance network of enterprises will influence, stimulate, and regulate enterprise innovation greatly. A comprehensive analysis of alliance data of China's energy-saving and environment-protection industry from 2000 to 2013 by using Ucinet software can reveal the network structure parameters such as degree, clique number, average path length, clustering coefficient, and betweenness centrality, which reflects different types of enterprise networks and different positions of enterprises in different types of networks. A negative regression analysis of enterprise patent data and network structure parameters by using Stata software can make some conclusions that the influences of network characteristics on enterprise innovation reach the maximum in the second year of the window period end, that innovation accumulation, clustering coefficient, betweenness centrality are related to the enterprise innovation, that clique number, network density are negatively related to the enterprise innovation, and that there is an inverted U relationship between average path length and enterprise innovation. It is suggested to increase the accumulation level of innovation, appropriately control the network density, reduce the average path length, improve the betweenness centrality and clustering coefficient of enterprises, so as to improve the overall innovation level.
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9

Celaya-Echarri, Azpilicueta, López-Iturri, Aguirre, and Falcone. "Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios." Sensors 19, no. 16 (August 11, 2019): 3516. http://dx.doi.org/10.3390/s19163516.

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Анотація:
The uncontainable future development of smart regions, as a set of smart cities’ networks assembled, is directly associated with a growing demand of full interactive and connected ubiquitous smart environments. To achieve this global connection goal, large numbers of transceivers and multiple wireless systems will be involved to provide user services and applications anytime and anyplace, regardless the devices, networks, or systems they use. Adequate, efficient and effective radio wave propagation tools, methodologies, and analyses in complex indoor and outdoor environments are crucially required to prevent communication limitations such as coverage, capacity, speed, or channel interferences due to high-node density or channel restrictions. In this work, radio wave propagation characterization in an urban indoor and outdoor wireless sensor network environment has been assessed, at ISM 2.4 GHz and 5 GHz frequency bands. The selected scenario is an auditorium placed in an open free city area surrounded by inhomogeneous vegetation. User density within the scenario, in terms of inherent transceivers density, poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. By means of an in-house developed 3D ray launching (3D-RL) algorithm with hybrid code operation, the impact of variable density wireless sensor network operation is presented, providing coverage/capacity estimations, interference estimation, device level performance and precise characterization of multipath propagation components in terms of received power levels and time domain characteristics. This analysis and the proposed simulation methodology, can lead in an adequate interference characterization extensible to a wide range of scenarios, considering conventional transceivers as well as wearables, which provide suitable information for the overall network performance in crowded indoor and outdoor complex heterogeneous environments.
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10

Luo, Hongling, Jun Sang, Weiqun Wu, Hong Xiang, Zhili Xiang, Qian Zhang, and Zhongyuan Wu. "A High-Density Crowd Counting Method Based on Convolutional Feature Fusion." Applied Sciences 8, no. 12 (November 23, 2018): 2367. http://dx.doi.org/10.3390/app8122367.

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Анотація:
In recent years, the trampling events due to overcrowding have occurred frequently, which leads to the demand for crowd counting under a high-density environment. At present, there are few studies on monitoring crowds in a large-scale crowded environment, while there exists technology drawbacks and a lack of mature systems. Aiming to solve the crowd counting problem with high-density under complex environments, a feature fusion-based deep convolutional neural network method FF-CNN (Feature Fusion of Convolutional Neural Network) was proposed in this paper. The proposed FF-CNN mapped the crowd image to its crowd density map, and then obtained the head count by integration. The geometry adaptive kernels were adopted to generate high-quality density maps which were used as ground truths for network training. The deconvolution technique was used to achieve the fusion of high-level and low-level features to get richer features, and two loss functions, i.e., density map loss and absolute count loss, were used for joint optimization. In order to increase the sample diversity, the original images were cropped with a random cropping method for each iteration. The experimental results of FF-CNN on the ShanghaiTech public dataset showed that the fusion of low-level and high-level features can extract richer features to improve the precision of density map estimation, and further improve the accuracy of crowd counting.
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Більше джерел

Дисертації з теми "Density of the network environment"

1

Holt, Galen. "Diversity Maintenance In Annual Plants And Stream Communities: The Effects Of Life History And Environmental Structure On Coexistence In A Variable Environment." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/338703.

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Species diversity and coexistence have long been central foci of ecology, but field studies are often limited to describing diversity patterns, while theory frequently ignores environmental variation. Scale transition theory is an ideal framework in which to study species diversity, as it explicitly accounts for this environmental variability and allows for the quantification of coexistence mechanisms. Each coexistence mechanism arises from specific types of biotic and abiotic interactions. Moreover, mechanism magnitudes provide information about how these interactions contribute to coexistence. By studying how the natural history of a community determines these biotic and abiotic interactions, insight can be gained into how that natural history influences coexistence. Environmental variation is a central hypothesis for the maintenance of diversity in both desert annual plants and streams. This dissertation is broadly interested in the way differences in the environmental responses of species interact with the structure of the environmental conditions to affect coexistence. I use scale transition theory to develop theoretical understanding of how life history and environmental structure in these communities influence coexistence mechanisms and diversity. In desert annual plants, the focus is on the environmental response itself: how germination depends on environmental conditions. I analyze how this life history interacts with variation in the environment to affect coexistence. The germination responses of desert annual plants to an unstudied type of environmental variation, duration of soil moisture after rainfall, generate species-specific but highly structured patterns of germination variation. Although this germination variation is one-dimensional, the nonlinearities that arise due to germination biology generate sufficient germination variation to promote coexistence by the temporal storage effect. In stream communities, I examine how the physical structure of stream environments affects coexistence given that species’ performance is environmentally dependent. This dissertation demonstrates that patterns of diversity along the stream are related to the strength of coexistence. The downstream drift of organisms has relatively minor effects on coexistence despite asymmetric shifts in the distribution of organism in the stream. This study identifies conditions that eliminate the effects of the branched structure of stream networks on coexistence. Branching has no effect on community dynamics if (a) tributaries have identical environmental conditions, (b) habitat size increases additively at confluences, and (c) demographic stochasticity is unimportant. Any effects of branching on coexistence caused by violating the environmental condition are asymptotically eliminated as streams increase in size. These studies provide a theoretical, mechanistic foundation for the study of stream communities that addresses environmental and life history factors long recognized as important by empirical stream ecologists.
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2

Mistree, Behram Farrokh Thomas. "A flexible high-density sensor network." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46015.

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Анотація:
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 171-174).
This thesis explores building and deploying a scalable electronic sensate skin that was designed as a dense sensor network. Our skin is built from small (1" x 1") rigid circuit boards attached to their neighbors with flexible interconnects. Each boardcontained an embedded processor together with a suite of thirteen sensors, providing dense, multimodal capture of proximate and contact phenomena. In addition to the design of the physical system, this thesis develops protocols for internode communication (both neighbor-neighbor and global), and power-efficient wake-on-phenomena operation. The system was rigorously tested with an array of up to 4x3 nodes subject to a variety of sensor stimuli. Although there were some robustness issues in the final design (particularly in the wired interconnects, which were not the focus of this thesis work), the skin that we developed showed good flexibility for a prototype, ran quickly and efficiently, and could detect and respond to a variety of stimuli.
by Behram Farrokh Thomas Mistree.
M.Eng.
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3

Zhang, Jingxuan, and 张静璇. "Therapeutic landscape in high-density urban environment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4754479X.

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Анотація:
Hong Kong’s compacted urban form brings about potential problems including mental illness. Meanwhile stressful life mainly originates from working pressure brought a lot of physical and mental problems for the people themselves and generating serious family and social problems. As more and more people start to aware mental health issue, the current mental health services system is no longer sustainable due to increasing number of patients. This thesis aims to excavate the potential for landscape to become element in healthcare delivery in the context of community as following: refine the definition of therapeutic landscape, define the scope of work, and identify components essential for therapeutic environment. Last but not least, dig out possible interpretation/physical form through set an example of a particular design introduce for a typical site. Therapeutic landscape which introduce to community recreation system will become a new approach to backup mental health service system as well provide people more convenient and broad healthcare service to cultivate healthy personality. Thus promote community organic development to become a thoughtful and institutional environment.
published_or_final_version
Architecture
Master
Master of Landscape Architecture
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4

Xu, Yining. "Density and What Matters: A Study of People's Attitudes Toward and Perceptions of Urban Density." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/31305.

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Анотація:
As long as the population keeps growing and lands are desired, the research on how the city could be developed is needed. Higher density development, considered as the alternative for urban sprawl, is a new trend for future development. The barrier between advocacy of higher density environment and misconception of density asks for a descriptive and systematic interpretation for human perception of density.

In response to this demand, this research aims to provide a description of the factors that influence peopleâ s perception of higher density environments. Also, it aims to identify peopleâ s important concerns while using outdoor environments.

This study is based on data obtained from an online survey questionnaire that polled public attitudes toward density. The findings from the data indicate that the more important characteristics that people are concerned about the higher density environment are presence of nature, interaction opportunities, building identity and perceived safety. This study also points out that peopleâ s attitudes toward density vary based on certain factors. Those factors are age, occupation, place of residents and type of residents.

This research could be used as a reference for future planning and design. Results of this study reflect participantsâ attitudes towards density. It initiates a discussion of future research and generates a frame work for future study for a larger population.
Master of Landscape Architecture

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5

Chen, Zheng. "HIGH-DENSITY URBAN HOUSING IN CHINA: The Living Environment." Thesis, The University of Arizona, 1997. http://hdl.handle.net/10150/555301.

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6

Mohammed, Ali, Sachin Sama, and Majeed Mohammed. "Enhancing Network Security in Linux Environment." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-17144.

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Анотація:
Designing a secured network is the most important task in any enterprise or organization development. Securing a network mainly involves applying policies and procedures to protect different network devices from unauthorized access. Servers such as web servers, file servers, mail servers, etc., are the important devices in a network. Therefore, securing these servers is the first and foremost step followed in every security implementation mechanism. To implement this, it is very important to analyse and study the security mechanisms provided by the operating system. This makes it easier for security implementation in a network. This thesis work demonstrates the tasks needed to enhance the network security in Linux environment. The various security modules existing in Linux makes it different from other operating systems. The security measures which are mainly needed to enhance the system security are documented as a baseline for practical implementation. After analysing the security measures for implementing network security, it is important to understand the role of network monitoring tools and Linux inbuilt log management in maintaining the security of a network. This is accomplished by presenting a detailed discussion on network monitoring tools and log management in Linux. In order to test the network security, a network is designed using Linux systems by configuring different servers and application firewall for packet filtering. The security measures configured on each server to enhance its security are presented as part of the implementation. The results obtained while an unauthorized user accessing the servers from the external network are also documented along with attack information retrieved by different network monitoring tools and Linux inbuilt log messages.
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7

Harple, Daniel L. Jr. "Toward a network graph-based innovation cluster density index." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81076.

Повний текст джерела
Анотація:
Thesis (S.M. in Management)--Massachusetts Institute of Technology, Sloan School of Management, 2013.
Cataloged from PDF version of thesis. Page 162 blank.
Includes bibliographical references (p. 137-146).
Innovation clusters have been studied and examined in many forms: ranging from qualitative observations to in-depth analytical models and frameworks to long-term studies tracking the actors and entities making up an innovation cluster's ecosystem. Economic development marketing in municipalities, regions, and countries often make representations about their cluster's strengths, yet rarely have strong empirical data to support and back their claims. A wide array of cluster mapping visualization tools exist, yet most focus on aggregate numbers of "nodes," and offer far less insights into their connectedness and relationships between the entities, the "edges" or links. The focus for this thesis is a bottoms-up perspective, with people as the core drivers of innovation. This paper seeks to supplement existing methods, by implementing an innovation cluster density index (CDI) as an indicator, ("Cluster Rank") enabling broader comparisons within clusters (intra-cluster), as well as the modeling of distributed virtual clusters (inter-cluster). This method proposes an empirical analytical approach, using complex network theory, commercially and open source available application program interfaces (APIs), and weighted network graphs as a framework, which integrates these elements to depict a new descriptor for clusters, the Cluster Rank. Implementation of the method in software is outside the scope of this thesis, but is separately being developed and is defined as a software platform using linked data technologies to build it ("Cluster Rank Engine"). The proposed Cluster Rank Engine is people-centric, and takes into account the embedded network effects, of people, derived from network graph analytics. It presents a bottoms-up view to intersect with the relatively top-down approaches currently in place. It identifies five key attributes, the "Penta Helix" and uses these as the core variables in modeling. Development of such a model enables the use of big data methods and algorithmic tools on the Internet to interrogate large distributed economic global datasets, query and extract the relevant pre-defined cluster attribute data, filter and process it to present a deeper analytically comparative lens of innovation clusters; both in terms of urban innovation mapping, cluster heat maps, etc. This method would enable, for example, the comparison of a biotech cluster in Cambridge with that of one in San Francisco ("Global biotechnology clusters map," n.d.), at discrete levels. The Cluster Rank for each discrete innovation cluster provides additional data beyond traditional graphical visualizations. Utilization of the Cluster Rank Engine across a wide range of clusters could then yield deeper statistically comparative data for a deeper understanding of cluster dynamics and cluster endurance over time, as well as serve as data input for a variety of graphical data visualizations. (Berkhin, 2002) Utility for such a solution is multi-fold: as an economic cluster modeling and tracking tool, an innovation lens on a given sector or geography, and as a tool for urban innovation mapping. At its fruition, it becomes a potentially predictive tool for network resilience and failure, to help better navigate decisions related to the growth of innovation clusters and/or the linking of remote clusters for a virtual cluster, to help make decisions for: resource allocations, partnership and contractual targets, angel and venture funding strategies.
by Daniel L. Harple, Jr.
S.M.in Management
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8

Sareh, Said Adel Mounir. "Ubiquitous sensor network in the NGN environment." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0016/document.

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Анотація:
Ubiquitous Sensor Network (USN) est un réseau conceptuel construit sur des réseaux physiques existantes. Il se sert des données détectées et fournit des services de connaissances à quiconque, n'importe où et à tout moment, et où l'information est générée en utilisant la sensibilité au contexte. Dispositifs et USN portables intelligents émergent rapidement en offrant de nombreux services fiables facilitant la vie des gens. Ces petits terminaux et terminaux très utiles besoin d'un substrat de communication globale pour fournir un service complet de l'utilisateur final global. En 2010, ITU -T a fourni les exigences pour supporter des applications et services USN dans le Next Generation Network (NGN) de l'environnement d'exploiter les avantages du réseau de base. L'un des principaux marchés prometteurs pour l'application et les services USN est la e- santé. Il fournit le suivi des patients en continu et permet une grande amélioration dans les services médicaux. D'autre part, des Véhicules Ad-hoc NETwork (VANET) est une technologie émergente qui permet une communication intelligente entre les véhicules mobiles. Intégrer VANET avec USN a un grand potentiel pour améliorer la sécurité routière et la fluidité du trafic. La plupart des applications VANET sont appliqués en temps réel et ils sont sensibles à retarder, en particulier ceux liés à la sécurité et à la santé. Dans ce travail, nous proposons d'utiliser l'IP Multimédia Subsystem (IMS) comme une sous- couche de contrôle de service dans l'environnement USN fournir un substrat mondiale pour un service complet de bout en bout. De plus, nous vous proposons d'intégrer VANETs avec USN pour des applications et des installations riches plus, ce qui facilitera la vie des humains. Nous avons commencé à étudier les défis sur la route pour atteindre cet objectif
Ubiquités Sensor Network (USN) is a conceptual network built over existing physical networks. It makes use of sensed data and provides knowledge services to anyone, anywhere and at anytime, and where the information is generated by using context awareness. Smart wearable devices and USNs are emerging rapidly providing many reliable services facilitating people life. Those very useful small end terminals and devices require a global communication substrate to provide a comprehensive global end user service. In 2010, the ITU-T provided the requirements to support USN applications and services in the Next Génération Network (NGN) environment to exploit the advantages of the core network. One of the main promising markets for the USN application and services is the e-Health. It provides continuous patients’ monitoring and enables a great improvement in medical services. On the other hand, Vehicular Ad-Hoc NETwork (VANET) is an emerging technology, which provides intelligent communication between mobile vehicles. Integrating VANET with USN has a great potential to improve road safety and traffic efficiency. Most VANET applications are applied in real time and they are sensitive to delay, especially those related to safety and health. In this work, we propose to use IP Multimedia Subsystem (IMS) as a service controller sub-layer in the USN environment providing a global substrate for a comprehensive end-to-end service. Moreover, we propose to integrate VANETs with USN for more rich applications and facilities, which will ease the life of humans. We started studying the challenges on the road to achieve this goal
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Larsson, Jonas. "Network Automation in a Multi-vendor Environment." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80810.

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Automation is something that effects every occupation, and everyone wants more of. Networking is not any different were the systematic tasks that can be prone to human errors and the long time-wasting configuration surely could be automated. But a problem in networking is that when there aren’t any standards to follow vendors do their own solutions that only works on their own devices. This is not a problem if you're only using one vendor in your network, but what if you don't then how do you automate your network? This is the question this report is trying to answer. First by trying to develop a new solution in Python to automate networking tasks and then see if there is any existing product that works in a multi-vendor network that can be tested. Then test the programs, see what functions exist and demonstrate how they work and see advantages and disadvantages with the solutions. The new program in Python is planned, the different functions that the program is going to have is explained, the development is done and then tested. Then a program called UNIMUS is installed and tested. The development resulted in a program that’s called Kraft Prime. The testing on Kraft Prime shows a program that offers automation on different tasks like configuration and upgrading. The results from testing UNMIUS also shows a program that offer automation functions like mass configuration and configuration backups. The results from the development and testing shows that it is possible to develop your own network automation program in Python that offers different kinds of automation in a multi-vendor environment. But also, that there are existing programs like UNIMUS that also offers automation. But both solutions come with their ups and downs that must be considered before implementing any of the solutions.
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Yu, Hui. "A low-density, terrestrial network approach to high accuracy postioning." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445354.

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Книги з теми "Density of the network environment"

1

Burns, S. P. Environment Canada's protected areas network. Ottawa, Ont: Canadian Wildlife Service, 2004.

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Hausman, Kalani Kirk. MCSA Windows 2000 network environment. Scottsdale, Ariz: Coriolis Group, 2002.

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Dubey, Rabindra Nath. Population environment and regional planning. Allahabad, India: Chugh Publications, 1992.

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Network security in a mixed environment. Foster City, CA: IDG Books Worldwide, 1998.

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5

Lundqvist, Lars, Lars-Göran Mattsson, and Tschangho John Kim, eds. Network Infrastructure and the Urban Environment. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72242-4.

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Anderson, Alison G. Media, Environment and the Network Society. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137314086.

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O'Mahony, Donal. Security considerations in a network management environment. Dublin: Trinity College, Department of Computer Science, 1991.

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Manzlan, Johal. Corp orate data network in heterogeneous environment. London: University of East London, 1994.

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9

Land use and environment in Indonesia. London: Published in association with the Institute of Asian Affairs, Hamburg, by C. Hurst, 1987.

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Donner, Wolf. Land use and environment in Indonesia. Honolulu: Published in association with the Institute of Asian Affairs, Hamburg, by the University of Hawaii Press, 1987.

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Частини книг з теми "Density of the network environment"

1

Suchański, Marek, Paweł Kaniewski, Janusz Romanik, Edward Golan, and Krzysztof Zubel. "Radio Environment Maps for Military Cognitive Networks: Density of Sensor Network vs. Map Quality." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 195–207. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25748-4_15.

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Tian, Runjia. "Suggestive Site Planning with Conditional GAN and Urban GIS Data." In Proceedings of the 2020 DigitalFUTURES, 103–13. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_10.

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AbstractIn architecture, landscape architecture, and urban design, site planning refers to the organizational process of site layout. A fundamental step for site planning is the design of building layout across the site. This process is hard to automate due to its multi-modal nature: it takes multiple constraints such as street block shape, orientation, program, density, and plantation. The paper proposes a prototypical and extensive framework to generate building footprints as masterplan references for architects, landscape architects, and urban designers by learning from the existing built environment with Artificial Neural Networks. Pix2PixHD Conditional Generative Adversarial Neural Network is used to learn the mapping from a site boundary geometry represented with a pixelized image to that of an image containing building footprint color-coded to various programs. A dataset containing necessary information is collected from open source GIS (Geographic Information System) portals from the city of Boston, wrangled with geospatial analysis libraries in python, trained with the TensorFlow framework. The result is visualized in Rhinoceros and Grasshopper, for generating site plans interactively.
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Kosub, Sven. "Local Density." In Network Analysis, 112–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_6.

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Sahu, Pratap Kumar, Abdelhakim Hafid, and Soumaya Cherkaoui. "Density Map Service in VANETs City Environments." In Ad-hoc, Mobile, and Wireless Networks, 446–60. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07425-2_33.

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Hurlbert, Glenn H. "Network Environment." In Undergraduate Texts in Mathematics, 163–81. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-79148-7_10.

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Yang, Fan, Jaymar Soriano, Takatomi Kubo, and Kazushi Ikeda. "A Hierarchical Mixture Density Network." In Neural Information Processing, 878–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70093-9_93.

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Fan, Jianqing, and Marlene Müller. "Density and Regression Smoothing." In XploRe: An Interactive Statistical Computing Environment, 77–99. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4214-7_5.

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Du, Yu. "Computer Network Environment of Network Teaching." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering, 1299–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_183.

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Rienkhemaniyom, Kanokporn, and Subramanian Pazhani. "A Supply Chain Network Design Considering Network Density." In Toward Sustainable Operations of Supply Chain and Logistics Systems, 3–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19006-8_1.

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Kishi, H., and Y. Hashimoto. "Basin Population Density and Sedimental Concentration of Chemicals." In Soil & Environment, 391–92. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0415-9_97.

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Тези доповідей конференцій з теми "Density of the network environment"

1

Vieux, Baxter E., and Chandra S. Pathak. "Evaluation of Rain Gauge Network Density and NEXRAD Rainfall Accuracy." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)278.

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Aquino, Aaron U., Matthew Edward M. Fernandez, Aileen P. Guzman, Albert A. Matias, Ira C. Valenzuela, and Elmer P. Dadios. "An Artificial Neural Network (ANN) Model for the Cell Density Measurement of Spirulina (A. platensis)." In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM). IEEE, 2018. http://dx.doi.org/10.1109/hnicem.2018.8666297.

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Liu, Xuhui, Yifan Yu, and Xin Sui. "Neighborhood Environment and the Elderly’s Subject Well-being." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/evqy6355.

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Background: In the context of an aging society, the physical and mental health and quality of life of the elderly have received more and more attention. Among them, in the field of mental health of the elderly, subject well-being is an important concern. Many studies have shown that the environment has a certain impact on people's mental health. In the field of landscape, public health and architecture, most of the studies focus on the natural environment, including the number and proportion of green space, the distance to green space, the characteristics of green space, as well as the building density, building form, road network density and layout in the built environment. However, in China, the specific environment elements that are more comprehensive and more closely linked with urban planning and management need to be studied. Objectives: Relevant research shows that more than 80% of the activities of the elderly are completed within 1 km of the neighborhood. This study takes neighborhood environment as the main research area and research object. The objectives include: 1, to find the status of the elderly’s subject well-being in Shanghai; 2, to find the impact of the neighborhood environmental factors on the subject well-being of the elderly; and therefore, 3, to put forward some suggestions for neighborhood planning to promote the subject well-being of the elderly. Methods: Based on the data of the Fourth Survey on the Living Conditions of the Elderly in Urban and Rural Areas of China, 3431 urban residential samples in Shanghai were selected and analyzed in this study. The subject well-being comes from the question, "General speaking, do you feel happy?" Options include five levels, ranging from very happy to very unhappy. According to the existing literature and the specific requirements of Shanghai urban planning compilation and management, the environmental factors are summarized as 20 indicators in four aspects: natural environment, housing conditions, urban form and facility environment. According to the sample address, the environmental factors indicators are calculated in GIS. The data are analyzed by the method of path analysis in Mplus7.4. Results: 70.9% of the respondents felt very happy or happy, while only 2.2% of the respondents said they were unhappy or very unhappy. Non-agricultural household registration, higher education, better self-rated economic status of the elderly, the better of the subject well-being of the elderly. Under the control of the basic characteristics and socio-economic attributes of the elderly, the per capita green space area, housing construction area, road network density and location conditions have a significant impact on the well-being of the elderly. Conclusion: Under the control of socio-economic variables, community environment can significantly affect the subjective well-being of the elderly. In the planning of community life circle, improving the level of green space per capita in the community, improving the housing conditions of the elderly, and building a high-density road network system are effective measures to promote the subject well-being of the elderly.
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Gupta, Man Prakash, David Estrada, Eric Pop, and Satish Kumar. "Impact of Contact Resistances on Electrical and Thermal Transport in Carbon Nanotube Network Transistors." In ASME 2012 Third International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/mnhmt2012-75111.

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The breakdown mechanism of carbon nanotube (CNT) networks is explored using a coupled electro-thermal model, which simulates both electrical and thermal transport in CNT network thin film transistors (CN-TFTs). The numerical results are validated against experimental observations on CN-TFTs with similar device geometry, network statistics, and thermal environment. We find the numerical predictions are in good agreement with experimental measurements of power and temperature of CN-TFT devices. Comparing the simulation results with experiments, we observe that the CNT-substrate thermal conductance per unit length is ∼0.1 Wm−1 K−1. This value represents high contact thermal resistance, but is very close to experimental estimations. The thermal profile and breakdown behavior of the CNT network is observed to be more sensitive to CNT-substrate interfacial thermal conductance compared to that of the CNT-CNT interface. The effect of CNT network density on breakdown behavior is also analyzed for relatively low densities of the network. The peak power dissipation in CN-TFTs before breakdown increases with network density, and this peak power is reached at the same source-to-drain bias (VSD) for all considered densities. The breakdown patterns in CN-TFTs of all considered densities are also observed to have similar characteristics.
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Mukherjee, A., and D. Mukherjee. "Distributed probability density function estimation of environmental function from sensor network data." In 2013 International Conference on Signal Processing, Image Processing, and Pattern Recognition (ICSIPR). IEEE, 2013. http://dx.doi.org/10.1109/icsipr.2013.6497993.

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Hyun Yu, Joon Yoo, and Sanghyun Ahn. "A VANET routing based on the real-time road vehicle density in the city environment." In 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2013. http://dx.doi.org/10.1109/icufn.2013.6614836.

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Alejandra M Rojas González, Eric W Harmsen, and Sandra Cruz Pol. "Performance and Evaluation of Multisensor Precipitation Estimation Algorithm Using a High Density Rain Gauge Network and Hydrologic Simulation." In 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, 21-24 February 2010, Universidad EARTH, Costa Rica. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.29437.

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Kirchner, William, Steve Southward, and Mehdi Ahmadian. "Ultrasonic Acoustic Health Monitoring of Ball Bearings Using Neural Network Pattern Classification of Power Spectral Density." In 2010 Joint Rail Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/jrc2010-36240.

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This work presents a generic passive non-contact based acoustic health monitoring approach using ultrasonic acoustic emissions (UAE) to facilitate classification of bearing health via neural networks. This generic approach is applied to classifying the operating condition of conventional ball bearings. The acoustic emission signals used in this study are in the ultrasonic range (20–120 kHz), which is significantly higher than the majority of the research in this area thus far. A direct benefit of working in this frequency range is the inherent directionality of microphones capable of measurement in this range, which becomes particularly useful when operating in environments with low signal-to-noise ratios that are common in the rail industry. Using the UAE power spectrum signature, it is possible to pose the health monitoring problem as a multi-class classification problem, and make use of a multi-layer artificial neural network (ANN) to classify the UAE signature. One major problem limiting the usefulness of ANN’s for failure classification is the need for large quantities of training data. This becomes a particularly important issue when considering applications involving higher value components such as the turbo mechanisms and traction motors on diesel locomotives. Artificial training data, based on the statistical properties of a significantly smaller experimental data set is created to train the artificial neural network. The combination of the artificial training methods and ultrasonic frequency range being used results in an approach generic enough to suggest that this particular method is applicable to a variety of systems and components where persistent UAE exist.
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Baniulis, Rimvydas, Karolis Galinauskas, Leonardas Marozas, Eimuntas Paršeliunas, and Marius Petniunas. "An Analysis of RTK Network LitPOS Performance." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.161.

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RTK (Real Time Kinematic) method for positioning is used in daily life by different consumers for many purposes. When there are so many measurements, it is essential to know where RTK measurements are concentrated and which stations are obligatory for LitPOS performance. In this paper, using RTK software generated reports and SQL database records, we introduced the geographic information systems show to graphically LitPOS users activity and density of measurements. Using this data we analyze how LitPOS users are divided among Lithuanian municipalities, how much users are working each month and how this affects LitPOS performance. This study is performed in Lithuania, where state wide permanent GNSS reference station network has been maintained since year 2007.
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Mitsudo, Yuichi, and Shogo Moriyuki. "Low-cost, High-density Multi-sensor Networks for Measuring Environmental Variable Distributions in a Greenhouse." In 2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU). IEEE, 2021. http://dx.doi.org/10.23919/icmu50196.2021.9638839.

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Звіти організацій з теми "Density of the network environment"

1

Jaeger, Edward. Space Environment Network Display (SEND). Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada371862.

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CIFOR. CIFOR Poverty and Environment Network (PEN). Center for International Forestry Research (CIFOR), 2004. http://dx.doi.org/10.17528/cifor/001578.

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3

Hench, David, and Craig Baker. Network Modeling and Simulation Environment (NEMSE). Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada566432.

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4

Griffin, Andrew, Sean Griffin, Kristofer Lasko, Megan Maloney, S. Blundell, Michael Collins, and Nicole Wayant. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting building footprints and roads from high resolution satellite imagery as compared to manual digitization of the same areas. To avoid environmental bias, this assessment was done in two different regions of the world: Maracay, Venezuela and Niamey, Niger. High, medium, and low urban density sites are compared between regions. We quantify the accuracy of the data and time needed to correct the three AFE datasets against hand digitized reference data across ninety tiles in each city, selected by stratified random sampling. Within each tile, the reference data was compared against the three AFE datasets, both before and after analyst editing, using the accuracy assessment metrics of Intersection over Union and F1 Score for buildings and roads, as well as Average Path Length Similarity (APLS) to measure road network connectivity. It was found that of the three AFE tested, the Ecopia data most frequently outperformed the other AFE in accuracy and reduced the time needed for editing.
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Davies, B. R., and M. J. McDonald. Network-based collaborative research environment LDRD final report. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/534494.

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ALPHATECH INC BURLINGTON MA. Command and Control in a Network Centric Environment. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada389867.

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Alvarex, Robert. Space Environment Network Display (SEND): Limited Military Utility Assessment. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada371978.

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Braden, John B., Richard P. Hooper, Barbara S. Minsker, Jerald L. Schnoor, Martha H. Conklin, Loius A. Derry, Thomas Harmon, et al. Living in the Water Environment: the WATERS Network Science Plan. Edited by Roger C. Bales. Chair Jeff Dozier. Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), November 2007. http://dx.doi.org/10.4211/sciplan.waters.20090515.

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Tade, Curtis, Venkat Dasari, and Vinod K. Mishra. Analysis of Cisco Open Network Environment (ONE) OpenFlow Controller Implementation. Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada608442.

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Su, Jim, and Dan Christoffersen. ISDN (Integrated Services Digital Network) Internet Environment and Standards Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada206583.

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