Academic literature on the topic 'Limited network resources'
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Journal articles on the topic "Limited network resources"
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Weigeng, Shi. "Reconnectable network with limited resources." Journal of Computer Science and Technology 6, no. 3 (July 1991): 243–49. http://dx.doi.org/10.1007/bf02945511.
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Al-Madani, Basem, Anas Al-Roubaiey, and Mohammad F. Al-Hammouri. "Performance Enhancement of Limited-Bandwidth Industrial Control Systems." Advanced Materials Research 739 (August 2013): 608–15. http://dx.doi.org/10.4028/www.scientific.net/amr.739.608.
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Due to its portability, reliability, flexibility, real time and rich set of QoS support, Data Distribution Service (DDs) middleware became one of the best solutions for real time distributed manufacturing systems. Most of these systems are composed of heterogeneous networked devices where network bandwidth represents a very important resource. Those devices include limited-resources devices, such as sensors, actuators and controllers. Thus, controlling such resource will significantly enhance the overall performance of the network in terms of resource utilization, delay, and throughput; moreover, it reduces the cost of using leased network bandwidth by limiting the amount of bandwidth as much as needed. In this paper we propose a solution for controlling the limited-bandwidth networked manufacturing systems by using DDS; and we describe the DDS QoS polices that support manufacturing systems to control network bandwidth. Furthermore, we evaluate DDS middleware performance over Bluetooth channel by measuring latency, throughput and jitter; and examining different QoS parameters to show their effect on improving the existing limited-bandwidth networks.
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Jiang, Xue, Xiaoya Song, Hongyu Zhao, and Haoran Zhang. "Rural Tourism Network Evaluation Based on Resource Control Ability Analysis: A Case Study of Ning’an, China." Land 10, no. 4 (April 16, 2021): 427. http://dx.doi.org/10.3390/land10040427.
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Organization of rural tourism resources is important for optimizing rural land use based on rational resource classification. Quantitative analysis was performed to evaluate the resource control ability of rural tourism networks. This was achieved by determining the resource control relationship and assessing the structure of the rural tourism network. The ability of resource control was analyzed via resource abstraction, which included the extraction of resource nodes and corridors, control scope analysis, and network structure level evaluation. The proposed approach was applied to the Ning’an in Heilongjiang Province, China, and proved to be effective for exploring the network degree and development trends in rural tourism resources. By examining the resource control ability, the spatial characteristics and development trend in rural tourism networks were quantitatively analyzed, especially the connection mode of key tourism resources, network structure analysis, and resource linking ability. The core resources showed a lack of outward ability in the network, and the secondary resource expansion ability was limited. Via resource control ability analysis, this study focused on areas with rich tourism but an unbalanced spatial structure, combining the directional characteristics of the network to provide suggestions for the optimization rural tourism resources network in other regions of the world.
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S. Todd, Margie, and Syed (Shawon) M. Rahman. "Complete Network Security Protection for SME's within Limited Resources." International Journal of Network Security & Its Applications 5, no. 6 (November 30, 2013): 1–13. http://dx.doi.org/10.5121/ijnsa.2013.5601.
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Golenko-Ginzburg, Dimitri, and Aharon Gonik. "Stochastic network project scheduling with non-consumable limited resources." International Journal of Production Economics 48, no. 1 (January 1997): 29–37. http://dx.doi.org/10.1016/s0925-5273(96)00019-9.
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Sarkar, Nurul I. "Enhancing Teaching and Learning Wi-Fi Networking using Limited Resources to Undergraduates." International Journal of Web-Based Learning and Teaching Technologies 8, no. 4 (October 2013): 1–18. http://dx.doi.org/10.4018/ijwltt.2013100101.
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Motivating students to learn Wi-Fi (wireless fidelity) wireless networking to undergraduate students is often difficult because many students find the subject rather technical and abstract when presented in traditional lecture format. This paper focuses on the teaching and learning aspects of Wi-Fi networking using limited hardware resources. It provides a walk-through tutorial on setting up Wi-Fi networks using wireless laptops and access points. Students can easily set up and configure Wi-Fi networks using relatively few computing resources to learn networking concepts more effectively. By measuring the key performance metrics such as network throughput and response times, students are able to gain a deeper understanding of Wi-Fi network performance and related issues. The effectiveness of these Wi-Fi practical learning activities has been evaluated both formally by students and informally in discussion within the teaching team. This paper describes the overall effectiveness of teaching and learning Wi-Fi network fundamentals using limited resources.
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Xu, Zhen, Hailun Zhang, and Rachel Q. Zhang. "Online Demand Fulfillment Under Limited Flexibility." Management Science 66, no. 10 (October 2020): 4667–85. http://dx.doi.org/10.1287/mnsc.2019.3449.
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We study online demand fulfillment in a class of networks with limited flexibility and arbitrary numbers of resources and request types. We show analytically that such a network is both necessary and sufficient to guarantee a performance gap independent of the market size compared with networks with full flexibility, extending the previous literature from the long chains to more general sparse networks. Inspired by the performance bound, we develop simple inventory allocation rules and guidelines for designing such network structures. Numerical experiments including one using some real data from Amazon China are conducted to confirm our findings as well as some of the flexibility principles conjectured in the literature. This paper was accepted by Chung Piaw Teo, optimization.
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Karjalainen, Jesse, Aku Valtakoski, and Ilkka Kauranen. "Interfirm network structure and firm resources: Towards a unifying concept." Journal of Entrepreneurship, Management and Innovation 17, no. 3 (2021): 227–64. http://dx.doi.org/10.7341/20211737.
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PURPOSE: The objective of this paper is to propose a concept of network resource distribution that systematically unifies the resource-based and network-based perspectives on interfirm networks and enables integrated analysis of how firm resources and network structure interact to affect firm performance. METHODOLOGY: This conceptual paper first reviews the extant literature on interfirm networks and then develops the unifying concept of network resource distribution. FINDINGS: The literature review indicates that strategy scholars have long sought to integrate the resource-based view and the social network explanations of firm performance but, thus far, only a partial integration has been achieved. In particular, studies on the resource-level heterogeneity of interfirm networks have largely been limited to the analysis of firm dyads. How firm resources and network structure beyond the immediate network partners interact to affect firm performance has not yet been adequately addressed. The proposed unified concept of network resource distribution systematizes prior research and illuminates how network structure and firm resources interact to affect firm performance beyond the immediate network partners. IMPLICATIONS FOR THEORY AND PRACTICE: For theory, this paper highlights gaps in the extant literature on interfirm networks and proposes a unifying concept that can be utilized to address these gaps and to develop further theory in the area. For practice, this paper encourages managers not to limit their analyses of strategic alliances to immediate partnerships; it is also crucial to consider the partners and their resources, and reflect on how they are related to one another outside of the immediate partnership portfolio. ORIGINALITY AND VALUE: Network resource distribution is a novel concept that ties together and systematizes various strands of research on interfirm networks, thus providing a foundation for future research in the area. The concept is also amenable to detailed operationalization, facilitating subsequent quantitative testing of theoretical arguments combining firm resources and the structure of a network.
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Zahedi, R., and M. Khansari. "Network immunization under limited budget using graph spectra." International Journal of Modern Physics C 27, no. 08 (May 25, 2016): 1650096. http://dx.doi.org/10.1142/s0129183116500960.
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In this paper, we propose a new algorithm that minimizes the worst expected growth of an epidemic by reducing the size of the largest connected component (LCC) of the underlying contact network. The proposed algorithm is applicable to any level of available resources and, despite the greedy approaches of most immunization strategies, selects nodes simultaneously. In each iteration, the proposed method partitions the LCC into two groups. These are the best candidates for communities in that component, and the available resources are sufficient to separate them. Using Laplacian spectral partitioning, the proposed method performs community detection inference with a time complexity that rivals that of the best previous methods. Experiments show that our method outperforms targeted immunization approaches in both real and synthetic networks.
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Belousov, Vadim, Irina Fateeva, and Antonina Deniskina. "Parametrical network models of distribution of limited resources in difficult systems." MATEC Web of Conferences 265 (2019): 07025. http://dx.doi.org/10.1051/matecconf/201926507025.
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In article effective methods of the temporary analysis and calculation of the generalized network models are offered. On their basis the class of parametrical network models is under construction and applications of such models to problems of distribution of limited resources of difficult systems in the conditions of an intensification of works are considered. A number of terms of scheduling is specified. Conditions of consistency and criteria of resource resolvability of some classes of tasks on such models are investigated.
Dissertations / Theses on the topic "Limited network resources"
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Tay, Wee Peng. "Decentralized detection in resource-limited sensor network architectures." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/42910.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 201-207).
We consider the problem of decentralized binary detection in a network consisting of a large number of nodes arranged as a tree of bounded height. We show that the error probability decays exponentially fast with the number of nodes under both a Neyman-Pearson criterion and a Bayesian criterion, and provide bounds for the optimal error exponent. Furthermore, we show that under the Neyman-Pearson criterion, the optimal error exponent is often the same as that corresponding to a parallel configuration, implying that a large network can be designed to operate efficiently without significantly affecting the detection performance. We provide sufficient, as well as necessary, conditions for this to happen. For those networks satisfying the sufficient conditions, we propose a simple strategy that nearly achieves the optimal error exponent, and in which all non-leaf nodes need only send 1-bit messages. We also investigate the impact of node failures and unreliable communications on the detection performance. Node failures are modeled by a Galton-Watson branching process, and binary symmetric channels are assumed for the case of unreliable communications. We characterize the asymptotically optimal detection performance, develop simple strategies that nearly achieve the optimal performance, and compare the performance of the two types of networks. Our results suggest that in a large scale sensor network, it is more important to ensure that nodes can communicate reliably with each other(e.g.,by boosting the transmission power) than to ensure that nodes are robust to failures. In the case of networks with unbounded height, we establish the validity of a long-standing conjecture regarding the sub-exponential decay of Bayesian detection error probabilities in a tandem network. We also provide bounds for the error probability, and show that under the additional assumption of bounded Kullback-Leibler divergences, the error probability is (e cnd ), for all d> 1/2, with c c(logn)d being a positive constant. Furthermore, the bound (e), for all d> 1, holds under an additional mild condition on the distributions. This latter bound is shown to be tight. Moreover, for the Neyman-Pearson case, we establish that if the sensors act myopically, the Type II error probabilities also decay at a sub-exponential rate.
(cont.) Finally, we consider the problem of decentralized detection when sensors have access to side-information that affects the statistics of their measurements, and the network has an overall cost constraint. Nodes can decide whether or not to make a measurement and transmit a message to the fusion center("censoring"), and also have a choice of the transmission function. We study the tradeoff in the detection performance with the cost constraint, and also the impact of sensor cooperation and global sharing of side-information. In particular, we show that if the Type I error probability is constrained to be small, then sensor cooperation is not necessary to achieve the optimal Type II error exponent.
by Wee Peng Tay.
Ph.D.
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Hanif, Ahmed Farhan. "Resource utilization techniques in distributed networks with limited information." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0011/document.
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Dans ce travail, notre contribution est double. Nous développons un cadre d’apprentissage stochastique distribué pour la recherche des équilibres de Nash dans le cas de fonctions de paiement dépendantes d’un état. La plupart des travaux existants supposent qu’une expression analytique de la récompense est disponible au niveau des noeuds. Nous considérons ici une hypothèse réaliste où les noeuds ont seulement une réalisation quantifiée de la récompense à chaque instant et développons un modèle stochastique d’apprentissage à temps discret utilisant une perturbation en sinus. Nous examinons la convergence de notre algorithme en temps discret pour une trajectoire limite définie par une équation différentielle ordinaire (ODE). Ensuite, nous effectuons une analyse de la stabilité et appliquons le schéma proposé dans un problème de commande de puissance générique dans les réseaux sans fil. Nous avons également élaboré un cadre de partage de ressources distribuées pour les réseaux –cloud– en nuage. Nous étudions la stabilité de l’évolution de l’équilibre de Nash en fonction du nombre d’utilisateurs. Dans ce scénario, nous considérons également le comportement des utilisateurs sociaux. Enfin nous avons également examiné un problème de satisfaction de la demande où chaque utilisateur a une demande propre à lui qui doit être satisfaiteAs systems are becoming larger, it is becoming difficult to optimize them in a centralized manner due to insufficient backhaul connectivity and dynamical systems behavior. In this thesis, we tackle the above problem by developing a distributed strategic learning framework for seeking Nash equilibria under state dependent payoff functions. We develop a discrete time stochastic learning using sinus perturbation with the realistic assumption, that each node only has a numerical realization of the payoff at each time. We examine the convergence of our discrete time algorithm to a limiting trajectory defined by an ordinary differential equation (ODE). Finally, we conduct a stability analysis and apply the proposed scheme in a generic wireless networks. We also provide the application of these algorithms to real world resource utilization problems in wireless. Our proposed algorithm is applied to the following distributed optimization problems in wireless domain. Power control, beamforming and Bayesian density tracking in the interference channel. We also consider resource sharing problems in large scale networks (e.g. cloud networks) with a generalized fair payoff function. We formulate the problem as a strategic decision-making problem (i.e. a game). We examine the resource sharing game with finite and infinite number of players. Exploiting the aggregate structure of the payoff functions, we show that, the Nash equilibrium is not an evolutionarily stable strategy in the finite regime. Then, we introduce a myopic mean-field response where each player implements a mean-field-taking strategy. We show that such a mean-field-taking strategy is evolutionarily stable in both finite and infinite regime. We provide closed form expression of the optimal pricing that gives an efficient resource sharing policy. As the number of active players grows without bound, we show that the equilibrium strategy converges to a mean-field equilibrium and the optimal prices for resources converge to the optimal price of the mean-field game. Then, we address the demand satisfaction problem for which a necessary and sufficiency condition for satisfactory solutions is provided
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Galeana, Zapién Hiram. "Contribution to resource management in cellular access networks with limited backhaul capacity." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/52811.
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La interfaz radio de los sistemas de comunicaciones móviles es normalmente considerada como
la única limitación de capacidad en la red de acceso radio. Sin embargo, a medida que se van
desplegando nuevas y más eficientes interfaces radio, y de que el tráfico de datos y multimedia va
en aumento, existe la creciente preocupación de que la infraestructura de transporte (backhaul) de
la red celular pueda convertirse en el cuello de botella en algunos escenarios. En este contexto, la
tesis se centra en el desarrollo de técnicas de gestión de recursos que consideran de manera
conjunta la gestión de recursos en la interfaz radio y el backhaul. Esto conduce a un nuevo
paradigma donde los recursos del backhaul se consideran no sólo en la etapa de dimensionamiento,
sino que además son incluidos en la problemática de gestión de recursos.
Sobre esta base, el primer objetivo de la tesis consiste en evaluar los requerimientos de
capacidad en las redes de acceso radio que usan IP como tecnología de transporte, de acuerdo a las
recientes tendencias de la arquitectura de red. En particular, se analiza el impacto que tiene una
solución de transporte basada en IP sobre la capacidad de transporte necesaria para satisfacer los
requisitos de calidad de servicio en la red de acceso. La evaluación se realiza en el contexto de la
red de acceso radio de UMTS, donde se proporciona una caracterización detallada de la interfaz
Iub. El análisis de requerimientos de capacidad se lleva a cabo para dos diferentes escenarios:
canales dedicados y canales de alta velocidad. Posteriormente, con el objetivo de aprovechar
totalmente los recursos disponibles en el acceso radio y el backhaul, esta tesis propone un marco de
gestión conjunta de recursos donde la idea principal consiste en incorporar las métricas de la red de
transporte dentro del problema de gestión de recursos. A fin de evaluar los beneficios del marco de
gestión de recursos propuesto, esta tesis se centra en la evaluación del problema de asignación de
base, como estrategia para distribuir el tráfico entre las estaciones base en función de los niveles de
carga tanto en la interfaz radio como en el backhaul. Este problema se analiza inicialmente
considerando una red de acceso radio genérica, mediante la definición de un modelo analítico
basado en cadenas de Markov. Dicho modelo permite calcular la ganancia de capacidad que puede
alcanzar la estrategia de asignación de base propuesta. Posteriormente, el análisis de la estrategia
propuesta se extiende considerando tecnologías específicas de acceso radio. En particular, en el
contexto de redes WCDMA se desarrolla un algoritmo de asignación de base basado en simulatedannealing
cuyo objetivo es maximizar una función de utilidad que refleja el grado de satisfacción
de las asignaciones respecto los recursos radio y transporte. Finalmente, esta tesis aborda el diseño
y evaluación de un algoritmo de asignación de base para los futuros sistemas de banda ancha
basados en OFDMA. En este caso, el problema de asignación de base se modela como un problema
de optimización mediante el uso de un marco de funciones de utilidad y funciones de coste de
recursos. El problema planteado, que considera que existen restricciones de recursos tanto en la
interfaz radio como en el backhaul, es mapeado a un problema de optimización conocido como
Multiple-Choice Multidimensional Knapsack Problem (MMKP). Posteriormente, se desarrolla un
algoritmo de asignación de base heurístico, el cual es evaluado y comparado con esquemas de
asignación basados exclusivamente en criterios radio. El algoritmo concebido se basa en el uso de
los multiplicadores de Lagrange y está diseñado para aprovechar de manera simultánea el balanceo
de carga en la intefaz radio y el backhaul.
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Sankar, Ramya. "Power of networks : a study of health franchises in resource limited settings." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/57524.
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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 62-64).
Billions of dollars are spent to develop drugs for infectious diseases in developing countries. How will these drugs along with clinical services be delivered to the patients who currently do not have access to them? Health franchises have been around since early 1990s, creating networks of shops and clinics that provide specialized care to low income individuals. This thesis attempts to understand the underlying mechanisms of successful health franchises. Two cases are taken into consideration, CFWshops in Kenya and Mi Farmacita Nacional (MFN) in Mexico. Both are pharmaceutical shops with small clinics attached to them. The two cases were examined through a framework derived from successful commercial franchises and franchise theory. The elements that were addressed include operational structure, marketing strategy, product and service offerings, monitoring of businesses, and financial structure. CFWshops and MFN had some stark differences in how they addressed each of these elements. Unlike typical commercial franchises, health franchises aim to provide social benefits to the population. This goal requires franchises to not only create a business strategy to be financially sustainable and take advantage of networks, but also show health improvements in the community. The success of a health franchise is dependent on the health impacts it provides because its mission is not to generate a profit for the stakeholders but rather the value added to the customer by providing access that was not there before.
(cont.) The comparative case analysis suggests several key recommendations. Health innovations in resource limited settings should create networks with other public and private health groups to leverage existing knowledge and best practices. This reduces cost and time of learning and allows businesses to utilize existing channels to provide access for drugs and services to individuals who currently are not receiving them.
by Ramya Sankar.
S.M.in Technology and Policy
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Magnússon, Sindri. "Distributed Optimization with Nonconvexities and Limited Communication." Licentiate thesis, KTH, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181111.
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In economical and sustainable operation of cyber-physical systems, a number of entities need to often cooperate over a communication network to solve optimization problems. A challenging aspect in the design of robust distributed solution algorithms to these optimization problems is that as technology advances and the networks grow larger, the communication bandwidth used to coordinate the solution is limited. Moreover, even though most research has focused distributed convex optimization, in cyberphysical systems nonconvex problems are often encountered, e.g., localization in wireless sensor networks and optimal power flow in smart grids, the solution of which poses major technical difficulties. Motivated by these challenges this thesis investigates distributed optimization with emphasis on limited communication for both convex and nonconvex structured problems. In particular, the thesis consists of four articles as summarized below. The first two papers investigate the convergence of distributed gradient solution methods for the resource allocation optimization problem, where gradient information is communicated at every iteration, using limited communication. In particular, the first paper investigates how distributed dual descent methods can perform demand-response in power networks by using one-way communication. To achieve the one-way communication, the power supplier first broadcasts a coordination signal to the users and then updates the coordination signal by using physical measurements related to the aggregated power usage. Since the users do not communicate back to the supplier, but instead they only take a measurable action, it is essential that the algorithm remains primal feasible at every iteration to avoid blackouts. The paper demonstrates how such blackouts can be avoided by appropriately choosing the algorithm parameters. Moreover, the convergence rate of the algorithm is investigated. The second paper builds on the work of the first paper and considers more general resource allocation problem with multiple resources. In particular, a general class of quantized gradient methods are studied where the gradient direction is approximated by a finite quantization set. Necessary and sufficient conditions on the quantization set are provided to guarantee the ability of these methods to solve a large class of dual problems. A lower bound on the cardinality of the quantization set is provided, along with specific examples of minimal quantizations. Furthermore, convergence rate results are established that connect the fineness of the quantization and number of iterations needed to reach a predefined solution accuracy. The results provide a bound on the number of bits needed to achieve the desired accuracy of the optimal solution. The third paper investigates a particular nonconvex resource allocation problem, the Optimal Power Flow (OPF) problem, which is of central importance in the operation of power networks. An efficient novel method to address the general nonconvex OPF problem is investigated, which is based on the Alternating Direction Method of Multipliers (ADMM) combined with sequential convex approximations. The global OPF problem is decomposed into smaller problems associated to each bus of the network, the solutions of which are coordinated via a light communication protocol. Therefore, the proposed method is highly scalable. The convergence properties of the proposed algorithm are mathematically and numerically substantiated. The fourth paper builds on the third paper and investigates the convergence of distributed algorithms as in the third paper but for more general nonconvex optimization problems. In particular, two distributed solution methods, including ADMM, that combine the fast convergence properties of augmented Lagrangian-based methods with the separability properties of alternating optimization are investigated. The convergence properties of these methods are investigated and sufficient conditions under which the algorithms asymptotically reache the first order necessary conditions for optimality are established. Finally, the results are numerically illustrated on a nonconvex localization problem in wireless sensor networks. The results of this thesis advocate the promising convergence behaviour of some distributed optimization algorithms on nonconvex problems. Moreover, the results demonstrate the potential of solving convex distributed resource allocation problems using very limited communication bandwidth. Future work will consider how even more general convex and nonconvex problems can be solved using limited communication bandwidth and also study lower bounds on the bandwidth needed to solve general resource allocation optimization problems.QC 20160203
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Simons, Taylor Scott. "High-Speed Image Classification for Resource-Limited Systems Using Binary Values." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9097.
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Image classification is a memory- and compute-intensive task. It is difficult to implement high-speed image classification algorithms on resource-limited systems like FPGAs and embedded computers. Most image classification algorithms require many fixed- and/or floating-point operations and values. In this work, we explore the use of binary values to reduce the memory and compute requirements of image classification algorithms. Our objective was to implement these algorithms on resource-limited systems while maintaining comparable accuracy and high speeds. By implementing high-speed image classification algorithms on resource-limited systems like embedded computers, FPGAs, and ASICs, automated visual inspection can be performed on small low-powered systems. Industries like manufacturing, medicine, and agriculture can benefit from compact, high-speed, low-power visual inspection systems. Tasks like defect detection in manufactured products and quality sorting of harvested produce can be performed cheaper and more quickly. In this work, we present ECO Jet Features, an algorithm adapted to use binary values for visual inspection. The ECO Jet Features algorithm ran 3.7x faster than the original ECO Features algorithm on embedded computers. It also allowed the algorithm to be implemented on an FPGA, achieving 78x speedup over full-sized desktop systems, using a fraction of the power and space. We reviewed Binarized Neural Nets (BNNs), neural networks that use binary values for weights and activations. These networks are particularly well suited for FPGA implementation and we compared and contrasted various FPGA implementations found throughout the literature. Finally, we combined the deep learning methods used in BNNs with the efficiency of Jet Features to make Neural Jet Features. Neural Jet Features are binarized convolutional layers that are learned through deep learning and learn classic computer vision kernels like the Gaussian and Sobel kernels. These kernels are efficiently computed as a group and their outputs can be reused when forming output channels. They performed just as well as BNN convolutions on visual inspection tasks and are more stable when trained on small models.
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Мельников, Олег Валентинович. "Інформаційні технології багаторівневого планування в організаційно-виробничих системах з обмеженими ресурсами." Doctoral thesis, Київ, 2013. https://ela.kpi.ua/handle/123456789/3339.
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Magnússon, Sindri. "Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems." Doctoral thesis, KTH, Nätverk och systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205682.
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The emerging technology of Cyberphysical systems consists of networked computing, sensing, and actuator devices used to monitor, connect, and control physical phenomena. In order to economically and sustainably operate Cyberphysical systems, their devices need to cooperate over a communication network to solve optimization problems. For example, in smart power grids, smart meters cooperatively optimize the grid performance, and in wireless sensor networks a number of sensors cooperate to find optimal estimators of real-world parameters. A challenging aspect in the design of distributed solution algorithms to these optimization problems is that while the technology advances and the networks grow larger, the communication bandwidth available to coordinate the solution remains limited. Motivated by this challenge, this thesis investigates the convergence of distributed solution methods for resource allocation optimization problems, where gradient information is communicated at every iteration, using limited communication. This problem is approached from three different perspectives, each presented in a separate paper. The investigation of the three papers demonstrate promises and limits of solving distributed resource allocation problems using limited communication bandwidth. Future work will consider how even more general problems can be solved using limited communication bandwidth and also study different communication constraints.QC 20170424
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Cao, Pan. "Resource Allocation for Multiple-Input and Multiple-Output Interference Networks." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-161382.
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To meet the exponentially increasing traffic data driven by the rapidly growing mobile subscriptions, both industry and academia are exploring the potential of a new genera- tion (5G) of wireless technologies. An important 5G goal is to achieve high data rate. Small cells with spectrum sharing and multiple-input multiple-output (MIMO) techniques are one of the most promising 5G technologies, since it enables to increase the aggregate data rate by improving the spectral efficiency, nodes density and transmission bandwidth, respectively. However, the increased interference in the densified networks will in return limit the achievable rate performance if not properly managed.
The considered setup can be modeled as MIMO interference networks, which can be classified into the K-user MIMO interference channel (IC) and the K-cell MIMO interfering broadcast channel/multiple access channel (MIMO-IBC/IMAC) according to the number of mobile stations (MSs) simultaneously served by each base station (BS). The thesis considers two physical layer (PHY) resource allocation problems that deal with the interference for both models: 1) Pareto boundary computation for the achiev- able rate region in a K-user single-stream MIMO IC and 2) grouping-based interference alignment (GIA) with optimized IA-Cell assignment in a MIMO-IMAC under limited feedback. In each problem, the thesis seeks to provide a deeper understanding of the system and novel mathematical results, along with supporting numerical examples. Some of the main contributions can be summarized as follows.
It is an open problem to compute the Pareto boundary of the achievable rate region for a K-user single-stream MIMO IC. The K-user single-stream MIMO IC models multiple transmitter-receiver pairs which operate over the same spectrum simultaneously. Each transmitter and each receiver is equipped with multiple antennas, and a single desired data stream is communicated in each transmitter-receiver link. The individual achievable rates of the K users form a K-dimensional achievable rate region. To find efficient operating points in the achievable rate region, the Pareto boundary computation problem, which can be formulated as a multi-objective optimization problem, needs to be solved. The thesis transforms the multi-objective optimization problem to two single-objective optimization problems–single constraint rate maximization problem and alternating rate profile optimization problem, based on the formulations of the ε-constraint optimization and the weighted Chebyshev optimization, respectively. The thesis proposes two alternating optimization algorithms to solve both single-objective optimization problems. The convergence of both algorithms is guaranteed. Also, a heuristic initialization scheme is provided for each algorithm to achieve a high-quality solution. By varying the weights in each single-objective optimization problem, numerical results show that both algorithms provide an inner bound very close to the Pareto boundary. Furthermore, the thesis also computes some key points exactly on the Pareto boundary in closed-form.
A framework for interference alignment (IA) under limited feedback is proposed for a MIMO-IMAC. The MIMO-IMAC well matches the uplink scenario in cellular system, where multiple cells share their spectrum and operate simultaneously. In each cell, a BS receives the desired signals from multiple MSs within its own cell and each BS and each MS is equipped with multi-antenna. By allowing the inter-cell coordination, the thesis develops a distributed IA framework under limited feedback from three aspects: the GIA, the IA-Cell assignment and dynamic feedback bit allocation (DBA), respec- tively. Firstly, the thesis provides a complete study along with some new improvements of the GIA, which enables to compute the exact IA precoders in closed-form, based on local channel state information at the receiver (CSIR). Secondly, the concept of IA-Cell assignment is introduced and its effect on the achievable rate and degrees of freedom (DoF) performance is analyzed. Two distributed matching approaches and one centralized assignment approach are proposed to find a good IA-Cell assignment in three scenrios with different backhaul overhead. Thirdly, under limited feedback, the thesis derives an upper bound of the residual interference to noise ratio (RINR), formulates and solves a corresponding DBA problem. Finally, numerical results show that the proposed GIA with optimized IA-Cell assignment and the DBA greatly outperforms the traditional GIA algorithm.
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Ji, Bo. "Design of Efficient Resource Allocation Algorithms for Wireless Networks: High Throughput, Small Delay, and Low Complexity." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354641556.
Full textBooks on the topic "Limited network resources"
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Thara, Rangaswamy, Sujit John, and Kotteswara Rao. Telemental Health in India. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190622725.003.0006.
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India, with its large rural population and limited mental health resources, must identify alternative strategies to deliver services. Telepsychiatry offers a pragmatic solution to redistribute sparse resources concentrated in urban pockets. Information available about telepsychiatry practice in India is largely anecdotal with limited literature available in the public domain with regard to technology used, processes undertaken, utilization patterns, or outcomes. The experience of the Schizophrenia Research Foundation (SCARF) in running a telepsychiatry network under its SCARF Telepsychiatry in Pudukottai (STEP) program is described in this chapter. This includes an account of the background to this initiative, description of the program methodology, the technology used, and the required infrastructure to establish mobile telepsychiatry clinics and fixed-line clinics in rural communities. The reach of the program, its coverage, major achievements, and challenges faced are described in detail.
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Stuart, Heather, Julio Arboleda-Flórez, and Norman Sartorius. Getting Going. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199797639.003.0014.
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Many local community groups and coalitions are interested in creating anti-stigma activities in their communities; often with limited resources and largely volunteer labor. This section is targeted to local groups and individuals who wish to conduct an anti-stigma program and provides direction on how to conduct meaningful activities on a limited budget. Advice is pragmatic and based on our experiences with local, national, and international anti-stigma efforts, but particularly with the World Psychiatric Association’s global anti-stigma network. These experiences have taught us that everyone can take part in anti-stigma programming, and that modest efforts are possible for anyone to achieve.
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Festing, Marion, Katharina Harsch, Lynn Schäfer, and Hugh Scullion. Talent Management in Small- and Medium-Sized Enterprises. Edited by David G. Collings, Kamel Mellahi, and Wayne F. Cascio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758273.013.13.
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Despite the economic importance of small- and medium-sized enterprises (SMEs), talent management in this context is under-researched. The liability of smallness and scarce resources as typical features of SMEs require a specific definition and approach to talent management in this sector. The limited knowledge about talent management in SMEs indicates major challenges in attracting and retaining talent. We draw on the literature on human resource management (HRM) in SMEs, to put talent-management issues in a wider context. Furthermore, we outline HRM and talent-management networks and cooperation in industry clusters as a means for SMEs to join forces to compete with larger, multinational companies. However, this chapter also indicates that more research is needed in the field of talent management in SMEs.
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Rhodes, R. A. W. Policy Networks and Policy-making in the European Union. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786108.003.0004.
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Policy networks travel well and help us to understand EU policy-making. The chapter reviews the literature up to 1996 and identifies the main objections to using the concept to study the EU: explanation, level of analysis, institutions, boundaries, and policy. The chapter discusses the limits to policy networks and the conditions under which they work. The factors sustaining EU policy networks include: the national style of policy-making, degree of resource/power dependence, characteristics of the policy area, stage of the policy process, degree of aggregation, and functional representation. The Afterword assesses the record and concludes that policy networks became part of the conceptual vocabulary of studies of EU policy.
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Ragsdale, Lyn, and Jerrold G. Rusk. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190670702.003.0001.
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This chapter presents how uncertainty in the national campaign context affects whether people vote or not. The focus on the uncertainty of the national campaign context is in contrast to four primary explanations for nonvoting. Prior research has suggested that nonvoters lack sufficient psychological involvement in politics, are limited in their personal resources including education and income, are hampered by inadequate social networks, or have not been sufficiently mobilized by candidates’ campaigns. Instead, the chapter suggests that it is uncertainty associated with economic change, the invention of new mass communication technology, dramatic national events, and suffrage expansion that helps understand how many people do not vote and who does not vote.
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Clasby, Ryan, and Jason Nesbitt, eds. The Archaeology of the Upper Amazon. University Press of Florida, 2021. http://dx.doi.org/10.5744/florida/9780813066905.001.0001.
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This volume brings together archaeologists working in Ecuador, Peru, and Bolivia to construct a new prehistory of the Upper Amazon, outlining cultural developments from the late third millennium B.C. to the Inca Empire of the sixteenth century A.D. Encompassing the forested tropical slopes of the eastern Andes as well as Andean drainage systems that connect to the Amazon River basin, this vast region has been unevenly studied due to the restrictions of national borders, remote site locations, and limited interpretive models. The Archaeology of the Upper Amazon unites and builds on recent field investigations that have found evidence of extensive interaction networks along the major rivers—Santiago, Marañon, Huallaga, and Ucayali. Chapters detail how these rivers facilitated the movement of people, resources, and ideas between the Andean highlands and the Amazonian lowlands. Contributors demonstrate that the Upper Amazon was not a peripheral zone but a locus for complex societal developments. Reaching across geographical, cultural, and political boundaries, this volume shows that the trajectory of Andean civilization cannot be fully understood without a nuanced perspective on the region’s diverse patterns of interaction with the Upper Amazon.
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Pollack, Detlef, and Gergely Rosta. South Korea. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198801665.003.0017.
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In South Korea, the processes of rapid modernization after the Second World War were accompanied by an upturn in the religion that has suffered the heaviest losses in Europe: Protestant Christianity. The analysis shows that the rise of Protestantism in South Korea can be attributed to a number of factors. The provision of support networks of solidarity for individuals exposed to the rapid processes of modernization, industrialization, and urbanization played just as much a role as the productive acceptance of widespread expectations of advancement and prosperity, the link to the traditions of Korean folk religion, the capacity to mobilize resources, and the role-model effect of successful Protestant elites. What may have been most significant, though, is that Protestantism was able to fulfil non-religious functions, too. However, religious growth has clearly reached a limit, since connecting with religious communities to achieve non-religious goals seems to be becoming less necessary.
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Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.
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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in improving model projections is comparisons with observations. Exceeding uncertainties associated with climate model simulation are uncertainties due to projections of future emissions of CO2 and other greenhouse gases. Humanity’s choices in emissions pathways will have profound effects on climate, especially after the mid-century.The African Sahel is a transition zone characterized by strong meridional precipitation and temperature gradients. Over West Africa, the Sahel marks the northernmost extent of the West African monsoon system. The region’s climate is known to be sensitive to sea surface temperatures, both regional and global, as well as to land surface conditions. Increasing atmospheric greenhouse gases are already causing amplified warming over the Sahara Desert and, consequently, increased rainfall in parts of the Sahel. Climate model projections indicate that much of this increased rainfall will be delivered in the form of more intense storm systems.The complicated and highly regional precipitation regimes of East Africa present a challenge for climate modeling. Within roughly 5º of latitude of the equator, rainfall is delivered in two seasons—the long rains in the spring, and the short rains in the fall. Regional climate model projections suggest that the long rains will weaken under greenhouse gas forcing, and the short rains season will extend farther into the winter months. Observations indicate that the long rains are already weakening.Changes in seasonal rainfall over parts of subtropical southern Africa are observed, with repercussions and challenges for agriculture and water availability. Some elements of these observed changes are captured in model simulations of greenhouse gas-induced climate change, especially an early demise of the rainy season. The projected changes are quite regional, however, and more high-resolution study is needed. In addition, there has been very limited study of climate change in the Congo Basin and across northern Africa. Continued efforts to understand and predict climate using higher-resolution simulation must be sustained to better understand observed and projected changes in the physical processes that support African precipitation systems as well as the teleconnections that communicate remote forcings into the continent.
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Jiménez, Luis F. Migrants and Political Change in Latin America. University Press of Florida, 2018. http://dx.doi.org/10.5744/florida/9781683400370.001.0001.
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In Migrants and Political Change in Latin America, Luis Jiménez looks at how migrants are changing the politics of their country of origin. It argues that migrants can do this in three distinct ways: through social remittances, economic remittances, and the presence of return migrants. In the first case, they can alter political outcomes in their country of origin as they channel ideas that are different than those present at home. In the second case, they can influence how their compatriots, who never left, behave in an indirect manner through the channeling of resources. This is because wealth, as well as education (which itself has an indirect effect on how people behave politically), is associated with higher political participation. Finally, return migrants combine these two aspects, but their physical presence both expands and limits how it manifests itself in the country of origin. All migrants have the potential to influence the politics of their country of origin, but how and when this occurs depends on several critical aspects: the size and density of the diaspora’s social networks and the specific social context of the migrants’ homeland in terms of both political structure and broader local circumstances. This text tests this theory in three cases—Mexico, Colombia, and Ecuador. The author selected these countries carefully because of the size and type of diaspora, the place individuals opted to migrate to, and the different types of political structure. The book finds that migration contributed to an increase in political participation and electoral competitiveness, including the specific individuals that became President among other various political outcomes.
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Brunner, Ronald D., and Amanda H. Lynch. Adaptive Governance. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.601.
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Adaptive governance is defined by a focus on decentralized decision-making structures and procedurally rational policy, supported by intensive natural and social science. Decentralized decision-making structures allow a large, complex problem like global climate change to be factored into many smaller problems, each more tractable for policy and scientific purposes. Many smaller problems can be addressed separately and concurrently by smaller communities. Procedurally rational policy in each community is an adaptation to profound uncertainties, inherent in complex systems and cognitive constraints, that limit predictability. Hence planning to meet projected targets and timetables is secondary to continuing appraisal of incremental steps toward long-term goals: What has and hasn’t worked compared to a historical baseline, and why? Each step in such trial-and-error processes depends on politics to balance, if not integrate, the interests of multiple participants to advance their common interest—the point of governance in a free society. Intensive science recognizes that each community is unique because the interests, interactions, and environmental responses of its participants are multiple and coevolve. Hence, inquiry focuses on case studies of particular contexts considered comprehensively and in some detail.Varieties of adaptive governance emerged in response to the limitations of scientific management, the dominant pattern of governance in the 20th century. In scientific management, central authorities sought technically rational policies supported by predictive science to rise above politics and thereby realize policy goals more efficiently from the top down. This approach was manifest in the framing of climate change as an “irreducibly global” problem in the years around 1990. The Intergovernmental Panel on Climate Change (IPCC) was established to assess science for the Conference of the Parties (COP) to the U.N. Framework Convention on Climate Change (UNFCCC). The parties negotiated the Kyoto Protocol that attempted to prescribe legally binding targets and timetables for national reductions in greenhouse gas emissions. But progress under the protocol fell far short of realizing the ultimate objective in Article 1 of the UNFCCC, “stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference in the climate system.” As concentrations continued to increase, the COP recognized the limitations of this approach in Copenhagen in 2009 and authorized nationally determined contributions to greenhouse gas reductions in the Paris Agreement in 2015.Adaptive governance is a promising but underutilized approach to advancing common interests in response to climate impacts. The interests affected by climate, and their relative priorities, differ from one community to the next, but typically they include protecting life and limb, property and prosperity, other human artifacts, and ecosystem services, while minimizing costs. Adaptive governance is promising because some communities have made significant progress in reducing their losses and vulnerability to climate impacts in the course of advancing their common interests. In doing so, they provide field-tested models for similar communities to consider. Policies that have worked anywhere in a network tend to be diffused for possible adaptation elsewhere in that network. Policies that have worked consistently intensify and justify collective action from the bottom up to reallocate supporting resources from the top down. Researchers can help realize the potential of adaptive governance on larger scales by recognizing it as a complementary approach in climate policy—not a substitute for scientific management, the historical baseline.
Book chapters on the topic "Limited network resources"
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Franco, Carlo Di, Mauro Paternostro, and M. S. Kim. "Quantum State Transfer with Limited Resources." In Quantum State Transfer and Network Engineering, 123–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39937-4_4.
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Domb, Menachem. "Distributed Modular Multiplication to Be Processed by a Network of Limited Resources Devices." In Proceedings of Fifth International Congress on Information and Communication Technology, 104–9. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5856-6_9.
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Meicler, Antoine, Assan Sanogo, Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Marouan Khata, Ed-Doughmi Younes, Alami Khalil, Yazid Lachachi, and Amir Nakib. "Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint." In Lecture Notes in Computer Science, 95–106. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50347-5_10.
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Castro, Steven, Jhonattan Iñacasha, Gustavo Mesias, and William Oñate. "Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources." In Proceedings of Seventh International Congress on Information and Communication Technology, 245–55. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1610-6_21.
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Duisterwinkel, Erik H. A., Niels A. H. Puts, and Heinrich J. Wörtche. "Asymmetric Multi-way Ranging for Resource-Limited Nodes." In Ad Hoc Networks, 50–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51204-4_5.
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Le Cadre, Hélène, Mustapha Bouhtou, and Bruno Tuffin. "A Pricing Model for a Mobile Network Operator Sharing Limited Resource with a Mobile Virtual Network Operator." In Network Economics for Next Generation Networks, 24–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01796-4_4.
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Shen, Fei, Anil Kumar Chorppath, Eduard Jorswieck, and Holger Boche. "Resource Allocation and Pricing in Non-cooperative Interference Networks with Malicious Users." In Communications in Interference Limited Networks, 285–325. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22440-4_13.
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Sahoo, Kshira Sagar, Bibhudatta Sahoo, Ratnakar Dash, Mayank Tiwary, and Sampa Sahoo. "Network Virtualization." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 239–63. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1721-4.ch010.
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Cloud computing is a novel paradigm which relies on the vision of resource sharing over the Internet. The concept of resource virtualization, i.e. hiding the detail specification of the resources from the end users is the key idea of cloud computing. But the tenants have limited visibility over the network resources. The Network-as-a-Service (NaaS) framework integrates the cloud computing services with direct tenant access to the network infrastructure. The Network virtualization (NV) is such a platform that acts as a mediation layer to provide NaaS to tenants. NV supports the coexistence of multiple virtual networks, which is the collection of virtual nodes and virtual links on the same underlying physical infrastructure. Prior to set up a virtual network in an NV Environment, resource discovery and resource allocation are the primary job. In this chapter, we have discussed on basic NV architecture, surveyed the previous work on the resource allocation along with ongoing research projects on network virtualization.
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"Game Theory for Wireless Network Resource Management." In Advances in Wireless Technologies and Telecommunication, 188–203. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6050-2.ch008.
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Computer network bandwidth can be viewed as a limited resource. The users on the network compete for that resource. Their competition can be simulated using game theory models. No centralized regulation of network usage is possible because of the diverse ownership of network resources. Therefore, the problem is of ensuring the fair sharing of network resources. If a centralized system could be developed which would govern the use of the shared resources, each user would get an assigned network usage time or bandwidth, thereby limiting each person's usage of network resources to his or her fair share. As of yet, however, such a system remains an impossibility, making the situation of sharing network resources a competitive game between the users of the network and decreasing everyone's utility. This chapter explores this competitive game.
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T., Meena, and Ravi Sankar Sangam. "Study of Self-Organizing Coordination for Multi-UAV Systems." In Managing Resources for Futuristic Wireless Networks, 56–69. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-5225-9493-2.ch003.
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In recent days, the usage of drones was increased and extended to various domains such as surveillance, photography, military, rescue, etc. Drones are small flying computers with on-board sensors and camera with a limited battery and coverage area. Due to the limited coverage area, usage of standalone drones in the above-mentioned domains such as rescue and military is restrictive. Multi-drones with self-organizing network can help to solve the above discussed issues. Hence, this chapter presents an extensive review on drone networks in which the core areas such as coverage, connectivity, link establishment, etc. are discussed. Finally, this chapter concludes by leveraging the challenges in state-of-the-art technologies in drone networking.
Conference papers on the topic "Limited network resources"
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Xing, Dong, Qian Zheng, Qianhui Liu, and Gang Pan. "TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/555.
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Recent advances in deep reinforcement learning (DRL) have largely promoted the performance of adaptive traffic signal control (ATSC). Nevertheless, regarding the implementation, most works are cumbersome in terms of storage and computation. This hinders their deployment on scenarios where resources are limited. In this work, we propose TinyLight, the first DRL-based ATSC model that is designed for devices with extremely limited resources. TinyLight first constructs a super-graph to associate a rich set of candidate features with a group of light-weighted network blocks. Then, to diminish the model's resource consumption, we ablate edges in the super-graph automatically with a novel entropy-minimized objective function. This enables TinyLight to work on a standalone microcontroller with merely 2KB RAM and 32KB ROM. We evaluate TinyLight on multiple road networks with real-world traffic demands. Experiments show that even with extremely limited resources, TinyLight still achieves competitive performance. The source code and appendix of this work can be found at https://bit.ly/38hH8t8.
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Cancan, Guo, Peng Chen, Zhang Jin, and Peng Dacheng. "A survey on networked control systems subject to limited network resources." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6853061.
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Mlynek, Petr, Jiri Misurec, Martin Koutny, and Ondrej Raso. "Design of secure communication in network with limited resources." In 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2013. http://dx.doi.org/10.1109/isgteurope.2013.6695382.
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Moraney, Jalil, and Danny Raz. "Efficient detection of flow anomalies with limited monitoring resources." In 2016 12th International Conference on Network and Service Management (CNSM). IEEE, 2016. http://dx.doi.org/10.1109/cnsm.2016.7818400.
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Yaegashi, Ryo, Daisuke Hisano, and Yu Nakayama. "Light-Weight DDoS Mitigation at Network Edge with Limited Resources." In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2021. http://dx.doi.org/10.1109/ccnc49032.2021.9369635.
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Virues, Claudio, Jason Hendrick, and Sudhendu Kashikar. "Development of Limited Discrete Fracture Network Using Surface Microseismic Event Detection Testing in Canadian Horn River Basin." In Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2016. http://dx.doi.org/10.15530/urtec-2016-2455932.
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Ishibayashi, Yusuke, and Shinji Sugawara. "Efficient data transmission method with mobile terminals using limited network resources." In ICTCE 2019: 2019 The 3rd International Conference on Telecommunications and Communication Engineering. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3369555.3369566.
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Ge, Hao, and Randall A. Berry. "Dominant Strategy Allocation of Divisible Network Resources with Limited Information Exchange." In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. http://dx.doi.org/10.1109/infocom.2018.8486341.
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Li Li, Qing-Shan Jia, Heng-Tao Wang, Ruixi Yuan, and Xiaohong Guan. "A near optimal solution for network topology reconfigurations with limited link resources." In 2011 9th World Congress on Intelligent Control and Automation (WCICA 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcica.2011.5970562.
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Obayashi, M., H. Nishiyama, and F. Mizoguchi. "Secured cooperative multi-agent system in limited resources for intelligent sensor network." In 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005. IEEE, 2005. http://dx.doi.org/10.1109/iecon.2005.1569328.
Full textReports on the topic "Limited network resources"
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Garton, Timothy. Data enrichment and enhanced accessibility of waterborne commerce numerical data : spatially depicting the National Waterway Network. Engineer Research and Development Center (U.S.), December 2020. http://dx.doi.org/10.21079/11681/39223.
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This report provides methodologies and processes of data enrichment and enhanced accessibility of Waterborne Commerce and Statistics Center (WCSC) maintained databases. These databases house tabular and statistical data that reports on The U.S. Army Corps of Engineers (USACE) Civil Works Division National Waterway Network (NWN), which geospatially represents approximately 1,000 harbors and 25,000 miles of channels and waterways. WCSC is a division of The Institute for Water Resources (IWR). They have been tasked with the international collection, maintenance, and archival of all records involving commercial movements and commerce that occur on federal waterways. The current records structure is a large, tabular dataset and limited to the systems and processes put in place prior to the computing standards and capabilities available today. Methods have been tested and utilized to bring the tabular datasets into an optimized, modern geospatial network and expanded upon to create a higher resolution than previously maintained by the WCSC. This report will expand upon the applied methodologies to optimize data queries and the overall enhancement of the data system to allow for linkages to various other sources of information for commerce data enhancement for decision support assistance.
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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, December 2020. http://dx.doi.org/10.33684/2020.006.
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In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics based in the UK. The aim is to understand the extent to which the Framework factors and subfactors have been studied in order to identify gaps in expertise and provide evidence for decision making thatisrelevant to gambling harms research priorities. A social network analysis identified coauthor networks and alignment of research output with the Framework. The search strategy was limited to peer-reviewed items and covered the 12-year period from 2008 to 2019. Articles were selected using a Web of Science search. Of the 1417 records identified in the search, the dataset was refined to include only those articles that could be assigned to at least one Framework factor (n = 279). The primary factors and subfactors are: Resources:Work and Employment, Money and Debt, Crime;Relationships:Partners, Families and Friends, Community; and Health:Physical Health, Psychological Distress, and Mental Health. We used Gephi software to create visualisations reflecting degree centrality (number of coauthor networks) so that each factor and subfactor could be assessed for the density of research expertise and patterns of collaboration among coauthors. The findings show considerable variation by framework factor in the number of authors and collaborations, suggesting a need to develop additional research capacity to address under-researched areas. The Health factor subcategory of Mental Health comprised almost three-quarters of all citations, with the Resources factor subcategory of Money and Debt a distant second at 12% of all articles. The Relationships factor, comprised of two subfactors, accounted for less than 10%of total articles. Network density varied too. Although there were few collaborative networks in subfactors such as Community or Work and Employment, all Health subfactors showed strong levels of collaboration. Further, some subfactors with a limited number of researchers such as Partners, Families, and Friends and Money and debt had several active collaborations. Some researchers’ had publications that spanned multiple Framework factors. These multiple-factor researchers usually had a wide range of coauthors when compared to those who specialised (with the exception of Mental Health).Others’ collaborations spanned subfactors within a factor area. This was especially notable forHealth. The visualisations suggest that gambling harms research expertise in the UK has considerable room to grow in order to supporta more comprehensive, locally contextualised evidence base for the Framework. To do so, priority harms and funding opportunities will need further consideration. This will require multi-sector and multidisciplinary collaboration consistent with the public health approach underlying the Framework. Future research related to the present analysis will explore the geographic distribution of research activity within the UK, and research collaborations with harms experts internationally.
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Sripad, Pooja. Exploring barriers and enablers of service provision for survivors of human trafficking in the Bay Area: An action research study. Population Council, 2021. http://dx.doi.org/10.31899/sbsr2021.1067.
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Despite increasing recognition of public health and rights issues associated with human trafficking globally and in the United States following the Trafficking Victims Protection Act of 2000, there has been limited research on how to systematically strengthen service access for survivors of sex and labor trafficking. The experience of service providers may provide insight into how trafficking survivor responses and service networks function in California’s Bay Area. This study explores provider perspectives on existing service networks and collaboration dynamics, including the barriers to and enablers of long-term service provision and survivor follow-up. A participatory research design included qualitative interviews with key informants working at nongovernmental organizations, organizational website reviews, and consultation with network service providers in the Greater San Francisco Bay Area. This study approach allowed for eliciting in-depth reflections of service provision, collective generation of stakeholder mapping, and consensus-driven recommendations arising from barriers and enablers to anti-trafficking service provision. This report enhances stakeholder awareness of existing organizational and policy resources and offers insights into research and programming on how anti-trafficking service response networks can be strengthened to provide survivor-centric support in the long-term.
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Tauli-Corpuz, Victoria, Janis Alcorn, and Augusta Molnar. Cornered by Protected Areas: Replacing ‘Fortress’ Conservation with Rights-based Approaches Helps Bring Justice for Indigenous Peoples and Local Communities, Reduces Conflict, and Enables Cost-effective Conservation and Climate Action. Rights and Resources Initiative, June 2018. http://dx.doi.org/10.53892/exqc6889.
Full textAbstract:
Faced with growing environmental threats, governments and the international community have sought ways to halt biodiversity loss and ecosystem degradation and realize global climate and development priorities. Today, expanding the global network of protected areas is a key approach for achieving the goals of the Convention on Biological Diversity (CBD), the 2030 Agenda for Sustainable Development, and the Paris Agreement on climate change. But human pressure is increasing in and around protected areas, and far from improving the lives of those affected by the growing number of conservation initiatives, land and forest sequestration through “fortress” conservation approaches is creating chronic patterns of abuse and human-rights violations. In a context where many protected areas are underfunded and therefore limited in their capacity to deliver climate or biodiversity outcomes, the push for still more and even larger parks and conservation areas only stands to exacerbate the existing funding gap and the potential for injustice. Yet, despite widespread poverty and insecure resource rights, evidence shows that Indigenous Peoples and local communities are nevertheless spending their limited resources on conservation efforts and achieving outcomes that are at least equivalent to those of government-funded protected areas. As this brief shows, there is an urgent need to replace the fortress-conservation model with rights-based approaches to both improve conservation outcomes and end human-rights abuses committed in the name of conservation.
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Allen, Kathy, Andy Nadeau, and Andy Robertston. Natural resource condition assessment: Salinas Pueblo Missions National Monument. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293613.
Full textAbstract:
The Natural Resource Condition Assessment (NRCA) Program aims to provide documentation about the current conditions of important park natural resources through a spatially explicit, multi-disciplinary synthesis of existing scientific data and knowledge. Findings from the NRCA will help Salinas Pueblo Missions National Monument (SAPU) managers to develop near-term management priorities, engage in watershed or landscape scale partnership and education efforts, conduct park planning, and report program performance (e.g., Department of the Interior’s Strategic Plan “land health” goals, Government Performance and Results Act). The objectives of this assessment are to evaluate and report on current conditions of key park resources, to evaluate critical data and knowledge gaps, and to highlight selected existing stressors and emerging threats to resources or processes. For the purpose of this NRCA, staff from the National Park Service (NPS) and Saint Mary’s University of Minnesota – GeoSpatial Services (SMUMN GSS) identified key resources, referred to as “components” in the project. The selected components include natural resources and processes that are currently of the greatest concern to park management at SAPU. The final project framework contains nine resource components, each featuring discussions of measures, stressors, and reference conditions. This study involved reviewing existing literature and, where appropriate, analyzing data for each natural resource component in the framework to provide summaries of current condition and trends in selected resources. When possible, existing data for the established measures of each component were analyzed and compared to designated reference conditions. A weighted scoring system was applied to calculate the current condition of each component. Weighted Condition Scores, ranging from zero to one, were divided into three categories of condition: low concern, moderate concern, and significant concern. These scores help to determine the current overall condition of each resource. The discussions for each component, found in Chapter 4 of this report, represent a comprehensive summary of current available data and information for these resources, including unpublished park information and perspectives of park resource managers, and present a current condition designation when appropriate. Each component assessment was reviewed by SAPU resource managers, NPS Southern Colorado Plateau Network (SCPN) staff, or outside experts. Existing literature, short- and long-term datasets, and input from NPS and other outside agency scientists support condition designations for components in this assessment. However, in some cases, data were unavailable or insufficient for several of the measures of the featured components. In other instances, data establishing reference condition were limited or unavailable for components, making comparisons with current information inappropriate or invalid. In these cases, it was not possible to assign condition for the components. Current condition was not able to be determined for six of the ten components due to these data gaps. For those components with sufficient available data, the overall condition varied. Two components were determined to be in good condition: dark night skies and paleontological resources. However, both were at the edge of the good condition range, and any small decline in conditions could shift them into the moderate concern range. Of the components in good condition, a trend could not be assigned for paleontological resources and dark night skies is considered stable. Two components (wetland and riparian communities and viewshed) were of moderate concern, with no trend assigned for wetland and riparian communities and a stable trend for viewshed. Detailed discussion of these designations is presented in Chapters 4 and 5 of this report. Several park-wide threats and stressors influence the condition of priority resources in SAPU...
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Chriscoe, Mackenzie, Rowan Lockwood, Justin Tweet, and Vincent Santucci. Colonial National Historical Park: Paleontological resource inventory (public version). National Park Service, February 2022. http://dx.doi.org/10.36967/nrr-2291851.
Full textAbstract:
Colonial National Historical Park (COLO) in eastern Virginia was established for its historical significance, but significant paleontological resources are also found within its boundaries. The bluffs around Yorktown are composed of sedimentary rocks and deposits of the Yorktown Formation, a marine unit deposited approximately 4.9 to 2.8 million years ago. When the Yorktown Formation was being deposited, the shallow seas were populated by many species of invertebrates, vertebrates, and micro-organisms which have left body fossils and trace fossils behind. Corals, bryozoans, bivalves, gastropods, scaphopods, worms, crabs, ostracodes, echinoids, sharks, bony fishes, whales, and others were abundant. People have long known about the fossils of the Yorktown area. Beginning in the British colonial era, fossiliferous deposits were used to make lime and construct roads, while more consolidated intervals furnished building stone. Large shells were used as plates and dippers. Collection of specimens for study began in the late 17th century, before they were even recognized as fossils. The oldest image of a fossil from North America is of a typical Yorktown Formation shell now known as Chesapecten jeffersonius, probably collected from the Yorktown area and very likely from within what is now COLO. Fossil shells were observed by participants of the 1781 siege of Yorktown, and the landmark known as “Cornwallis Cave” is carved into rock made of shell fragments. Scientific description of Yorktown Formation fossils began in the early 19th century. At least 25 fossil species have been named from specimens known to have been discovered within COLO boundaries, and at least another 96 have been named from specimens potentially discovered within COLO, but with insufficient locality information to be certain. At least a dozen external repositories and probably many more have fossils collected from lands now within COLO, but again limited locality information makes it difficult to be sure. This paleontological resource inventory is the first of its kind for Colonial National Historical Park (COLO). Although COLO fossils have been studied as part of the Northeast Coastal Barrier Network (NCBN; Tweet et al. 2014) and, to a lesser extent, as part of a thematic inventory of caves (Santucci et al. 2001), the park had not received a comprehensive paleontological inventory before this report. This inventory allows for a deeper understanding of the park’s paleontological resources and compiles information from historical papers as well as recently completed field work. In summer 2020, researchers went into the field and collected eight bulk samples from three different localities within COLO. These samples will be added to COLO’s museum collections, making their overall collection more robust. In the future, these samples may be used for educational purposes, both for the general public and for employees of the park.
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Haberland, Nicole, Erica Chong, and Hillary J. Bracken. Married adolescents: An overview. Population Council, 2004. http://dx.doi.org/10.31899/pgy22.1005.
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The nascent work reviewed in this compendium indicates that married girls experience significant social isolation and limited autonomy. Across the studies examined, on indicators of mobility, exposure to media, and social networks, married girls are consistently disadvantaged compared to their unmarried peers. Similarly, across studies, on most of the domains explored here (mobility, decision-making, control over economic resources, and possibly gender-based violence), married girls tend to be less empowered and more isolated than slightly older married females. There may also be health issues associated with marriage during adolescence. Married girls are frequently at a disadvantage in terms of reproductive health information—particularly regarding STIs and HIV. First-time mothers, many of whom are adolescents, by virtue of their parity may have distinct maternal health needs and risks. Finally, early marriage potentially plays a role in exposing girls and young women to severe reproductive health risks, including HIV. Many of these elevated health risks may be largely, though not exclusively, derivative of their social vulnerability.
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Mai Phuong, Nguyen, Hanna North, Duong Minh Tuan, and Nguyen Manh Cuong. Assessment of women’s benefits and constraints in participating in agroforestry exemplar landscapes. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21015.pdf.
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Participating in the exemplar landscapes of the Developing and Promoting Market-Based Agroforestry and Forest Rehabilitation Options for Northwest Vietnam project has had positive impacts on ethnic women, such as increasing their networks and decision-making and public speaking skills. However, the rate of female farmers accessing and using project extension material or participating in project nurseries and applying agroforestry techniques was limited. This requires understanding of the real needs and interests grounded in the socio-cultural contexts of the ethnic groups living in the Northern Mountain Region in Viet Nam, who have unique social and cultural norms and values. The case studies show that agricultural activities are highly gendered: men and women play specific roles and have different, particular constraints and interests. Women are highly constrained by gender norms, access to resources, decision-making power and a prevailing positive-feedback loop of time poverty, especially in the Hmong community. A holistic, timesaving approach to addressing women’s daily activities could reduce the effects of time poverty and increase project participation. As women were highly willing to share project information, the project’s impacts would be more successful with increased participation by women through utilizing informal channels of communication and knowledge dissemination. Extension material designed for ethnic women should have less text and more visuals. Access to information is a critical constraint that perpetuates the norm that men are decision-makers, thereby, enhancing their perceived ownership, whereas women have limited access to information and so leave final decisions to men, especially in Hmong families. Older Hmong women have a Vietnamese (Kinh) language barrier, which further prevents them from accessing the project’s material. Further research into an adaptive framework that can be applied in a variety of contexts is recommended. This framework should prioritize time-saving activities for women and include material highlighting key considerations to maintain accountability among the project’s support staff.
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Lenhardt, Amanda. The Social Economic Impacts of Covid-19 in Informal Urban Settlements. Institute of Development Studies, September 2021. http://dx.doi.org/10.19088/cc.2021.008.
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The social economic impacts of the Covid-19 crisis in informal urban settlements are widely discussed in the literature, as are the risk factors for particular social and economic groups in these areas. However, government responses and evidence of their impact do not appear to rise to the challenges posed by these studies. Pre-pandemic analyses of risk factors in informal urban settlements and newly collected evidence from different contexts are available to understand the unique and pressing challenges that the pandemic poses to wellbeing in informal urban settlements. In contrast, there is little evidence of effective policy and programme solutions to address these challenges, which is likely driven by the absence of targeted policies and programmes to support people living in informal urban settlements. As a result, many communities have had to rely on their own limited resources and support networks to respond to the crisis (Wilkinson, 2021). This report briefly summarises the range of available evidence on the social economic impacts of the Covid-19 crisis in informal urban settlements and the intersectional differences in how different identity groups living in them have experienced the pandemic. Following a short introduction to the context of the Covid-19 crisis in these areas, the report outlines three thematic areas that have received significant attention in the literature and policy discourses – livelihoods and poverty, food security, and education. While not an exhaustive list, this range of topics is indicative of the range of evidence available and outstanding gaps. The remaining section details evidence of how different identity groups living in informal urban settlements have experienced the pandemic based on gender, disability, age, and migration status. The review draws on a mixture of academic and grey literature, with some opinion pieces and blogs also included given the ongoing nature of the pandemic.
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Pulugurtha, Srinivas S., Sarvani Duvvuri, and Sonu Mathew. Risk Factors Associated with Crash Injury Severity Involving Trucks. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2117.
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Nearly 499,000 motor vehicle crashes involving trucks were reported across the United States in 2018, out of which 22% resulted in fatalities and injuries. Given the growing economy and demand for trucking in the future, it is crucial to identify the risk factors to understand where, when, and why the likelihood of getting involved in a severe or moderate injury crash with a truck is higher. This research, therefore, focuses on capturing and exploring risk factors associated with surrounding land use and demographic characteristics in addition to crash, driver, and on-network characteristics by modeling injury severity of crashes involving trucks. Crash data for Mecklenburg County in North Carolina from 2013 to 2017 was used to develop partial proportionality odds model and identify risk factors influencing injury severity of crashes involving trucks. The findings from this research indicate that dark lighting condition, inclement weather condition, the presence of double yellow or no-passing zone, road sections with speed limit >40 mph and curves, and driver fatigue, impairment, and inattention have a significant influence on injury severity of crashes involving trucks. These outcomes indicate the need for effective geometric design and improved visibility to reduce the injury severity of crashes involving trucks. The likelihood of getting involved in a crash with a truck is also high in areas with high employment, government, light commercial, and light industrial land uses. The findings can be used to proactively plan and prioritize the allocation of resources to improve safety of transportation system users in these areas.