Relevant bibliographies by topics / Heterogeneous Internet

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Heterogeneous Internet'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Heterogeneous Internet"

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Wang, Zhiming, Xiaoping Zeng, Xue Liu, Man Xu, Ya Wen, and Li Chen. "TCP congestion control algorithm for heterogeneous Internet." Journal of Network and Computer Applications 68 (June 2016): 56–64. http://dx.doi.org/10.1016/j.jnca.2016.03.018.

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Wolf, Lars C. "Multimedia applications in heterogeneous Internet/ATM environments." Internet Research 9, no. 1 (March 1999): 49–57. http://dx.doi.org/10.1108/10662249910251363.

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Ekici, Eylem, and Mehmet Can Vuran. "Wireless Heterogeneous Networks and Next Generation Internet." Mobile Networks and Applications 15, no. 5 (March 30, 2010): 607–9. http://dx.doi.org/10.1007/s11036-010-0232-z.

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Gherbi, Chirihane. "Internet of Things and Heterogeneous Networks Technologies: Concepts, Challenges and Perspectives." Ingénierie des systèmes d information 26, no. 4 (August 31, 2021): 403–8. http://dx.doi.org/10.18280/isi.260408.

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The IoT network is used to provide an object with connectivity to the Internet to allow the feedback of information. The IoT has the ambition to make objects interact with each other and with people. It promises to be the engine of great transformations in the lives of individuals by democratizing new uses and services in the mobility sector. This is why it is compared to the internet of the future. The global size of the IoT, the huge number of Things in the IoT, the changing topology of the IoT, and the resource constraints make routing in the IoT difficult. Routing is a necessary process in the Internet of Things because it enables the interchange of data between Things by quickly guiding and reliably delivering data through the network from its origins to its destinations. The Internet of Things is enabled by key pillars: radio frequency identification (RFID) and wireless sensor networks (WSNs) (IoT), NFC (Near Field Communication), BLE (Bluetooth Low-Energy technology), LoRa and Sigfox. This paper examines these different technologies as well as the barriers and challenges that must be solved.
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Li, Bin, and Chun-Yu Ho. "Heterogeneous effects of internet channel on firm innovation." Applied Economics Letters 27, no. 12 (August 28, 2019): 1022–27. http://dx.doi.org/10.1080/13504851.2019.1659483.

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Ganz, Frieder, Payam Barnaghi, and Francois Carrez. "Information Abstraction for Heterogeneous Real World Internet Data." IEEE Sensors Journal 13, no. 10 (October 2013): 3793–805. http://dx.doi.org/10.1109/jsen.2013.2271562.

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Haseeb, Muhammad, Asad Waqar Malik, Anis ur Rahman, and Mian Muhammad Hamayun. "Toward Distributed Heterogeneous Simulation Using Internet of Things." IEEE Internet of Things Journal 6, no. 6 (December 2019): 10472–82. http://dx.doi.org/10.1109/jiot.2019.2939361.

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Bu, Fanyu, Zhikui Chen, Peng Li, Tong Tang, and Ying Zhang. "A High-Order CFS Algorithm for Clustering Big Data." Mobile Information Systems 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/4356127.

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With the development of Internet of Everything such as Internet of Things, Internet of People, and Industrial Internet, big data is being generated. Clustering is a widely used technique for big data analytics and mining. However, most of current algorithms are not effective to cluster heterogeneous data which is prevalent in big data. In this paper, we propose a high-order CFS algorithm (HOCFS) to cluster heterogeneous data by combining the CFS clustering algorithm and the dropout deep learning model, whose functionality rests on three pillars: (i) an adaptive dropout deep learning model to learn features from each type of data, (ii) a feature tensor model to capture the correlations of heterogeneous data, and (iii) a tensor distance-based high-order CFS algorithm to cluster heterogeneous data. Furthermore, we verify our proposed algorithm on different datasets, by comparison with other two clustering schemes, that is, HOPCM and CFS. Results confirm the effectiveness of the proposed algorithm in clustering heterogeneous data.
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Lan, Hai Yan, Hong Tao Song, Hai Bo Liu, and Guo Yin Zhang. "Heterogeneous-Oriented Resource Allocation Method in Internet of Things." Applied Mechanics and Materials 427-429 (September 2013): 2791–94. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2791.

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For various features of heterogeneous network access, combined with multi-master multiple slave Stackelberg game model, network pricing and resource allocation scheme of a heterogeneous IOT is proposed. A mobile end-user utility function based on income and spending is designed. After the operator's price is determined, the utility function satisfies the concave conditions to ensure the existence of mobile user's non-cooperative Nash equilibrium point, resulting in multiple resource participants in the joint optimal objective.
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Kumar, J. Sathish, and Mukesh A. Zaveri. "Hierarchical Clustering for Dynamic and Heterogeneous Internet of Things." Procedia Computer Science 93 (2016): 276–82. http://dx.doi.org/10.1016/j.procs.2016.07.211.

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Dissertations / Theses on the topic "Heterogeneous Internet"

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Jonsson, Andreas. "Studies on heterogeneous packet switched networks /." Luleå, 2005. http://epubl.luth.se/1402-1757/2005/056.

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Shen, Xiaochuan. "Streaming video optimisation in heterogeneous Internet traffic environment." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609573.

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Puschmann, Daniel Philip. "Extracting information from heterogeneous 'Internet of Things' data streams." Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/847053/.

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Recent advancements in sensing, networking technologies and collecting real-world data on a large scale and from various environments have created an opportunity for new forms of services and applications. This is known under the umbrella term of the Internet of Things (IoT). Physical sensor devices constantly produce very large amounts of data. Methods are needed which give the raw sensor measurements a meaningful interpretation for building automated decision support systems. One of the main research challenges in this domain is to extract actionable information from real-world data, that is information that can readily be used to make informed automatic decisions in intelligent systems. Most existing approaches are application or domain dependent or are only able to deal with specific data sources of one kind. This PhD research concerns multiple approaches for analysing IoT data streams. We propose a method which determines how many different clusters can be found in a stream based on the data distribution. After selecting the number of clusters, we use an online clustering mechanism to cluster the incoming data from the streams. Our approach remains adaptive to drifts by adjusting itself as the data changes. The work is benchmarked against state-of-the art stream clustering algorithms on data streams with data drift. We show how our method can be applied in a use case scenario involving near real-time traffic data. Our results allow to cluster, label and interpret IoT data streams dynamically according to the data distribution. This enables to adaptively process large volumes of dynamic data online based on the current situation. We show how our method adapts itself to the changes and we demonstrate how the number of clusters in a real-world data stream can be determined by analysing the data distributions. Using the ideas and concepts of this approach as a starting point we designed another novel dynamic and adaptable clustering approach that is more suitable for multi-variate time-series data clustering. Our solution uses probability distributions and analytical methods to adjust the centroids as the data and feature distributions change over time. We have evaluated our work against some well-known time-series clustering methods and have shown how the proposed method can reduce the complexity and perform efficient in multi-variate datastreams. Finally we propose a method that uncovers hidden structures and relations between multiple IoT data streams. Our novel solution uses Latent Dirichlet Allocation (LDA), a topic extraction method that is generally used in text analysis. We apply LDA on meaningful labels that describe the numerical data in human understandable terms. To create the labels we use Symbolic Aggregate approXimation (SAX), a method that converts raw data into string-based patterns. The extracted patterns are then transformed with a rule engine into the labels. The work investigates how heterogeneous sensory data from multiple sources can be processed and analysed to create near real-time intelligence and how our proposed method provides an efficient way to interpret patterns in the data streams. The proposed method provides a novel way to uncover the correlations and associations between different pattern in IoT data streams. The evaluation results show that the proposed solution is able to identify the correlation with high efficiency with an F-measure up to 90%. Overall, this PhD research has designed, implemented and evaluated unsupervised adaptive algorithms to analyse, structure and extract information from dynamic and multi-variate sensory data streams. The results of this research has significant impact in designing flexible and scalable solutions in analysing real-world sensory data streams and specially in cases where labelled and annotated data is not available or it is too costly to be collected. Research and advancements in healthcare and smarter cities are two key areas that can directly from this research.
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Mateus, Márcio Filipe Caetano. "Measuring data transfer in heterogeneous IoT environments." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/7580.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
Internet of Things (IoT) is characterised by the heterogeneity of the used devices, which leads to information exchange problems. To address these problems, the Plug’n’Interoperate approach is used, where the steps needed to perform the information exchange between devices are described by interoperability specifications (IS) and are operated by the devices. However, more than one IS can exist to describe the information exchange between each pair of devices, so to choose the suitable IS, there is the need to measure the information exchange described by each one. To do this, there already exist some methods. But, they rely on a deep understanding of the IS and the data formats involved. To overcome this, an advanced measurement method is presented. This method advances by measuring the data transfer provided by an IS, without the need of specific knowledge about it. This measurement does that, by relying only on an abstract view of the data transfer and providing results that allows the benchmarking of the entire interoperability performance of the IoT environment. Thus allowing the comparison of different IS without the need of being specialized on them.
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Liu, Dongyu. "Efficient resource management for heterogeneous devices accessing Internet streaming content." Fairfax, VA : George Mason University, 2009. http://hdl.handle.net/1920/5633.

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Thesis (Ph.D.)--George Mason University, 2009.
Vita: p. 127. Thesis director: Songqing Chen. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Title from PDF t.p. (viewed Nov. 11, 2009). Includes bibliographical references (p. 120-126). Also issued in print.
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Chang, He. "Server selection for heterogeneous cloud video services." HKBU Institutional Repository, 2017. http://repository.hkbu.edu.hk/etd_oa/419.

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Server selection is an important problem of cloud computing in which cloud service providers direct user demands to servers in one of the multiple data centers located in different geographical locations. The existing solutions usually assume homogeneity of cloud services (i.e., all users request the same type of service) and handle user demands in an individual basis which incurs high computational overhead. In this study, we propose a new and effective server selection scheme in which diversities of cloud services are taken into account. We focus on a specific cloud service, i.e., online video service, and assume that different videos have different bandwidth requirements. We group users into clusters and handle user demands on a cluster basis for faster and more efficient process. Firstly, we assume that user demands and bandwidth capacities of servers are given in the data centers, our problem is to assign the user demands to the servers under the bandwidth constraint, such that the overall latency (measured by the network distance) between the user clusters and the selected servers is minimized. We design a server selection system and formulate this problem as a linear programming formulation which can be solved by existing techniques. The system periodically executes our scheme and computes an optimal solution for server selection. User demands are assigned to the servers according to the optimal solution and the minimum overall latency can be achieved. The simulation results show that our scheme is significantly better than the random algorithm and the YouTube server selection strategy. Based on the first part, we take the storage capacities of servers constraint into consideration. In the second part, our new problem is to assign the user demands to the servers under the bandwidth and storage constraint, such that the function of overall latency (measured by the network distance) between the user clusters and the selected servers and standard deviation of traffic load of every server in the system is minimized. We design a server selection system and formulate this problem which can be solved by existing techniques. User demands are assigned to the servers according to the optimal solution and the two goals (minimum overall latency and the most balanced traffic load) can be achieved. The simulation results show the influence of different weights of these two goals on the user demands assigning.
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Akan, Ozgur Baris. "Advanced Transport Protocols for Next Generation Heterogeneous Wireless Network Architectures." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5231.

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The revolutionary advances in the wireless communication technologies are inspiring the researchers to envision the next generation wireless networking architectures, i.e., Next Generation Wireless Internet (NGWI), InterPlaNetary (IPN) Internet, and Wireless Sensor Networks (WSN). There exist significant technological challenges for the realization of these envisioned next generation network architectures. NGWI will be the convergence of the Internet and heterogeneous wireless architectures, which have diverse characteristics and hence pose different sets of research challenges, to achieve anywhere, anytime seamless service to the mobile users. Similarly, the unique characteristics and challenges posed by deep space communications call for novel networking protocols to realize the IPN Internet objective. Furthermore, in order to realize the potential gains of WSN, it is imperative that communication challenges imposed by resource constraints of sensor nodes must be efficiently addressed with novel solutions tailored to the WSN paradigm. The objective of this research is to develop new advanced transport protocols for reliable data transport and real-time multimedia delivery in the next generation heterogeneous wireless network architectures. More specifically, the analytical rate control (ARC) protocol for real-time multimedia delivery is first proposed for wired/wireless hybrid networks. Next, a new rate control scheme (RCS) is proposed to achieve high throughput performance and fairness for real-time multimedia traffic over the satellite links. The unified adaptive transport layer (ATL) suite and its protocols for both reliable data transport (TCP-ATL) and real-time multimedia delivery (RCP-ATL) are introduced for the NGWI. A new reliable transport protocol for data transport in the IPN Internet (TP-Planet) is then proposed to address the unique challenges of the IPN Internet backbone links. A new integrated tranmission protocol (ITP) is then proposed for reliable data transport over multihop IPN Internet paths. Finally, the event-to-sink reliable transport (ESRT) protocol is proposed to achieve reliable event transport with minimum energy expenditure in WSN.
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El, Khatib Hazem Turki. "Integrating information from heterogeneous databases using agents and metadata." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/1214.

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Teixeira, Tiago André Rolo. "Organising interoperability information on highly dynamic and heterogeneous environments." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/7582.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The “Internet of Things” is a dynamic global network infrastructure where physical and virtual “things” communicate and share information amongst themselves. Plug and Interoperate is an approach that allows heterogeneous “things” to plug (into data) and seamlessly exchange information within the environment. To allow that, Plug and Interoperate needs to have the comprehension about the existing interoperability information. For this, the interoperability information needs to be duly organised. However, and in the “Internet of Things”, this presents major challenges. First, it is difficult to index all interoperability information due to the “things” heterogeneity (many and different languages and formats) and due to the dynamics of the system (disparate things entering/leaving the environment at all times). Also, that the environment can be used with much different purposes, which hinders the way on how the interoperability information should be organised. So, an architecture of an Interoperability Repository System is presented, in order to organise all interoperability information in this kind of environments. The solution handles heterogeneous interoperability information and allows users to add a User Space to the repository in order to customise it to specific needs. It also provides a notification mechanism in order to notify users of new or updated interoperability information.
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Rodrigues, Gabriel Siqueira. "Autonomic goal-driven deployment in heterogeneous computing environments." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/23185.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2016.
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Vemos um crescente interesse em aplicações que devem contar com ambientes de computação heterogêneos, como a Internet das Coisas (IoT). Esses aplicativos são destinados a executar em uma ampla gama de dispositivos com diferentes recursos computacionais disponíveis. Para lidar com algum tipo de heterogeneidade, como dois tipos possíveis de processadores gráficos em um computador pessoal, podemos usar abordagens simples como um script que escolhe a biblioteca de software certa a ser copiada para uma pasta. Essas abordagens simples são centralizadas e criadas em tempo de design. Eles requerem um especialista ou equipe para controlar todo o espaço de variabilidade. Dessa forma, essas abordagens não são escaláveis para ambientes altamente heterogêneos. Em ambientes altamente heterogêneos, é difícil prever o ambiente computacional em tempo de projeto, implicando provavelmente indecidibilidade na configuração correta para cada ambiente. Em nosso trabalho, propomos GoalD: um método que permite a implantação autônoma de sistemas, refletindo sobre os objetivos do sistema e seu ambiente computacional. Por implantação autônoma, queremos dizer que o sistema é capaz de encontrar o conjunto correto de componentes para o ambiente computacional alvo, sem intervenção humana. Nós avaliamos nossa abordagem em um estudo de caso: conselheiro de estação de abastecimento, onde uma aplicação aconselha um motorista onde reabastecer / recarregar seu veículo. Nós projetamos a aplicação com variabilidade em nível de requisitos, arquitetura e implantação, o que pode permitir que a aplicação projetada seja executada em diferentes dispositivos. Para cenários com diferentes ambientes, foi possível planejar a implantação de forma autônoma. Além disso, a escalabilidade do algoritmo que planeja a implantação foi avaliada em um ambiente simulado. Os resultados mostram que usando a abordagem é possível planejar de forma autônoma a implantação de um sistema com milhares de componentes em poucos segundos.
We see a growing interest in computing applications that should rely on heterogeneous computing environments, like Internet of Things (IoT). Such applications are intended to execute in a broad range of devices with different available computing resources. In order to handle some kind of heterogeneity, such as two possible types of graphical processors in a desktop computer, we can use simple approaches as a script at deployment-time that chooses the right software library to be copied to a folder. These simple approaches are centralized and created at design-time. They require one specialist or team to control the entire space of variability. However, such approaches are not scalable to highly heterogeneous environments. In highly dynamic and heterogeneous environment it is hard to predict the computing environment at design-time, implying likely undecidability on the correct configuration for each environment at design-time. In our work, we propose GoalD: a method that allows autonomous deployment of systems by reflecting about the goals of the system and its computing environment. By autonomous deployment, we mean that the system can find the correct set of components, for the target computing environment, without human intervention. We evaluate our approach on the filling station advisor case study where an application advises a driver where to refuel/recharge its vehicle. We design the application with variability at requirements, architecture, and deployment, which can allow the designed application be executed in different devices. For scenarios with different environments, it was possible to plan the deployment autonomously. Additionally, the scalability of the algorithm that plan the deployment was evaluated in a simulated environment. Results show that using the approach it is possible to autonomously plan the deployment of a system with thousands of components in few seconds.
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Books on the topic "Heterogeneous Internet"

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Asian Internet Engineering Conference (2nd 2006 Pathum Thani, Thailand). Technologies for advanced heterogeneous networks II: Second Asian Internet Engineering Conference, AINTEC 2006, Pathumthani, Thailand, November 28-30, 2006 : proceedings. Berlin: Springer, 2006.

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Daji, Qiao, and SpringerLink (Online service), eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks: 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Wang, Jiang. The term structure of interest rates in a pure exchange economy with heterogeneous investors. Cambridge, MA: National Bureau of Economic Research, 1995.

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Absolute Beginner's Guide to Networking, Third Edition. Upper Saddle River: Pearson Education, 2003.

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Varra, Lucia, ed. Dal dato diffuso alla conoscenza condivisa. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-177-5.

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At the present time, the tourist destination offers a stimulating laboratory for the experimentation of theoretical models and good practices on the subjects of governance, knowledge management and sustainable competition. Growing interest in the study of this territorial context gains impetus from the new approaches and tools that local administrations are starting to introduce in the phases of implementation and control of local strategies. In this respect, the Tourist Destination Observatory (OTD) represents an important innovation, offering a nerve centre for the aggregation and networking of heterogeneous data scattered over the territory as well as a model for the implementation of permanent approaches to social dialogue as prerequisites for the creation of knowledge and for an aware, shared, competitive and responsible development of the destination. The OTD can act as an efficient agent of local change, facilitating the processes of governance, and as a tool of knowledge management for the valorisation of intellectual capital. It is consequently a crucial support for the strategic repositioning of mountain resorts, which can represent valid responses to the emerging new modes of interpreting the holiday.
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Trofimov, Sergey. Strategic development of the Russian oil and gas complex: theoretical foundations, specifics and globalization aspects of state regulation. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1662056.

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The monograph examines the historical and economic aspects of state regulation of the economy, and concludes that the national results of identical economic policies pursued by individual countries at different stages of development are heterogeneous. The necessity of improving the mechanism of centralized influence on economic activity in the Russian Federation by finding the optimal combination of various tools, taking into account the specifics of state regulation of the oil and gas complex as a structural element of the national economy, is proved. The article examines the world experience of oil-producing countries with a developed market structure, analyzes the cause-and-effect relationships between global processes on the world energy market and the internal economic specifics that arose during the modernization of production and the reform of the regulatory mechanism of the Russian oil and gas complex. It is recommended to everyone who is interested in the issues of state regulation of the economy and the development of the domestic oil and gas sector: state civil servants working in the fuel and energy sector, managers and employees of oil and gas enterprises, teachers, doctoral students, postgraduates and students.
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Jamalipour, A. J. Heterogeneous Next Generation Mobile Networks and the Internet. John Wiley and Sons Ltd, 2007.

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Prasad, Ramjee, Hanane Fathi, and Shyam S. Chakraborty. Voice over IP in Wireless Heterogeneous Networks: Signaling, Mobility and Security. Springer, 2010.

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(Editor), Kenjiro Cho, and Philippe Jacquet (Editor), eds. Technologies for Advanced Heterogeneous Networks: First Asian Internet Engineering Conference, AINTEC 2005, Bangkok, Thailand, December 13-15, 2005, Proceedings (Lecture Notes in Computer Science). Springer, 2006.

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Kusumawardhani, Niken, Rezanti Pramana, Nurmala Saputri, and Daniel Suryadarma. Heterogeneous impact of internet availability on female labour market outcomes in an emerging economy: Evidence from Indonesia. 49th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/987-7.

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Greater female labour market participation has important positive implications not only for women’s empowerment and the well-being of their families but also for the economy they live in. In this paper, we examine the various effects of internet availability on women’s labour market outcomes in Indonesia. As each worker subgroup tends to respond differently to changes in technology, examining the heterogeneity in the impact of internet availability on female labour market outcomes is central to our research. By constructing a district-level longitudinal dataset covering the period 2007–18, we find that internet availability has only a small significant effect on the female labour force participation rate and no statistically significant effect on the employment rate. However, internet availability increases the probability of women having a full-time job, especially for women aged 15–45 and those with a low level of education. Our study shows that internet availability does not always bring favourable labour market outcomes for women. We find that internet availability lowers the probability of women with a low level of education working in a high-skilled job and in the formal sector. Our results are robust to several robustness checks. Analysis of our qualitative interviews with a subsample of recent mothers supports the conclusion that the ability to be prepared for and attain flexible working conditions are two important values provided by the internet. We argue that a women-friendly working environment and adequate IT infrastructure are crucial elements in maximizing the role of the internet in helping women to achieve more favourable labour market outcomes.
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Book chapters on the topic "Heterogeneous Internet"

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Robles, Tomás, Juan Quemada, Tomás de Miguel, Santiago Pavón, Joaquín Salvachúa, Manuel Petit, Gabriel Huecas, Hector L. Velayos, and Eva Castro. "Distributed Global Conferences over Heterogeneous Networks." In Multimedia Internet Broadcasting, 53–72. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0327-1_4.

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Beutel, Markus C., Sevket Gökay, Wolfgang Kluth, Karl-Heinz Krempels, Christian Samsel, Christoph Terwelp, and Maximilian Wiederhold. "Heterogeneous Travel Information Exchange." In Internet of Things. IoT Infrastructures, 181–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_23.

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Auletta, Vincenzo, Ioannis Caragiannis, Diodato Ferraioli, Clemente Galdi, and Giuseppe Persiano. "Information Retention in Heterogeneous Majority Dynamics." In Web and Internet Economics, 30–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71924-5_3.

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Takatsuka, Hiroki, Sachio Saiki, Shinsuke Matsumoto, and Masahide Nakamura. "On Integrating Heterogeneous Locating Services." In Internet of Things. IoT Infrastructures, 44–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_6.

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Chen, Shan, Xiaojun Hei, Junhua Zhu, and Brahim Bensaou. "Congestion Control in the Wired Cum Wireless Internet." In Heterogeneous Wireless Access Networks, 1–37. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09777-0_12.

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Tomkos, Ioannis, Marianna Angelou, Ramón J. Durán Barroso, Ignacio de Miguel, Rubén M. Lorenzo Toledo, Domenico Siracusa, Elio Salvadori, Andrzej Tymecki, Yabin Ye, and Idelfonso Tafur Monroy. "Next Generation Flexible and Cognitive Heterogeneous Optical Networks." In The Future Internet, 225–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30241-1_20.

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Ramsook, Darren, Patrick Hosein, and Akash Pooransingh. "Intrusion Detection and Avoidance for a Heterogeneous Cluster of Web Sites." In Internet Science, 250–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34770-3_19.

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Han, Li, David Kempe, and Ruixin Qiang. "Incentivizing Exploration with Heterogeneous Value of Money." In Web and Internet Economics, 370–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48995-6_27.

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Nowicki, Krzysztof, and Tadeus Uhl. "QoS/QoE in the Heterogeneous Internet of Things (IoT)." In Internet of Things, 165–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50758-3_7.

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Fize, Jacques, Mathieu Roche, and Maguelonne Teisseire. "Mapping Heterogeneous Textual Data: A Multidimensional Approach Based on Spatiality and Theme." In Internet Science, 310–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34770-3_25.

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Conference papers on the topic "Heterogeneous Internet"

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Di, Yufei, Yuanyuan Qiao, Jie Yang, and Jun Liu. "A Diffusion Mechanism over Interest-based Communities in Mobile Internet." In 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness. IEEE, 2015. http://dx.doi.org/10.4108/eai.19-8-2015.2261134.

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Romdhani, Bilel, Dominique Barthel, and Fabrice Valois. "Data collection in heterogeneous wireless sensor networks." In the Asian Internet Engineeering Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2402599.2402603.

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Koyanagi, Mitsumasa. "Heterogeneous 3D integration for Internet of Things." In 2014 IEEE 12th International Conference on Solid -State and Integrated Circuit Technology (ICSICT). IEEE, 2014. http://dx.doi.org/10.1109/icsict.2014.7021442.

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Das, Akanksha, Ravi Kant Kumar, and Dakshina Ranjan Kisku. "Heterogeneous Face Detection." In ICC '16: International Conference on Internet of things and Cloud Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2896387.2896417.

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Macagnano, Davide, Giuseppe Destino, and Giuseppe Abreu. "Localization with heterogeneous information." In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803133.

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Mapp, Glenford E., Fatema Shaikh, David Cottingham, Jon Crowcroft, and Javier Baliosian. "Y-Comm: A Global Architecture for Heterogeneous Networking." In 3rd International ICSTConference on Wireless Internet. ICST, 2007. http://dx.doi.org/10.4108/wicon.2007.2271.

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Abdellaoui, Refka, and Marc Pasquet. "Secure Communication for Internet Payment in Heterogeneous Networks." In 2010 24th IEEE International Conference on Advanced Information Networking and Applications. IEEE, 2010. http://dx.doi.org/10.1109/aina.2010.45.

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Iglesias, Natalia C., Pilar Bulacio, and Elizabeth Tapia. "Internet of Agricultural Machinery: Integration of heterogeneous networks." In 2020 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2020. http://dx.doi.org/10.1109/icit45562.2020.9067214.

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Liao, Chen-Hung, Hong-Han Shuai, and Li-Chun Wang. "Eavesdropping prevention for heterogeneous Internet of Things systems." In 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2018. http://dx.doi.org/10.1109/ccnc.2018.8319297.

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Sandulescu, Gabriel, Aimaschana Niruntasukrat, and Chalermpol Charnsripinyo. "Resource-aware capacity evaluation for heterogeneous, disruption-tolerant networks." In the 9th Asian Internet Engineering Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2534142.2534150.

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Reports on the topic "Heterogeneous Internet"

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Sycara, Katia, Jianguo Lu, and Matthias Klusch. Interoperability among Heterogeneous Software Agents on the Internet. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada599015.

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Vélez-Velásquez, Juan Sebastián. Banning Price Discrimination under Imperfect Competition: Evidence from Colombia's Broadband. Banco de la República de Colombia, December 2020. http://dx.doi.org/10.32468/be.1148.

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Economic theory is inconclusive regarding the effects of banning third-degree price discrimination under imperfect competition because they depend on how the competing firms rank their market segments. When, relative to uniform pricing, all competitors want higher prices in the same market segments, a ban on price discrimination will reduce profits and benefit some consumers at the expense of others. If, instead, some firms want to charge higher prices in segments where their competitors want to charge lower prices, price discrimination increases competition driving all prices down. In this case, forcing the firms to charge uniform prices can increase their profits and reduce consumer surplus. We use data on Colombian broadband subscriptions to estimate the demand for internet services. Estimated preferences and assumptions about competition are used to simulate a scenario in which firms lose their ability to price discriminate. Our results show large effects on consumer surplus and large effects on firms’ profits. Aggregate profits increase but the effects for individual firms are heterogeneous. The effects on consumer welfare vary by city. In most cities, a uniform price regime causes large welfare transfers from low-income households towards high-income households and in a few cities, prices in all segments rise. Poorer households respond to the increase in prices by subscribing to internet plans with slower download speed.
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Wang, Jiang. The Term Structure of Interest Rates in a Pure Exchange Economy with Heterogeneous Investors. Cambridge, MA: National Bureau of Economic Research, July 1995. http://dx.doi.org/10.3386/w5172.

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Clausen, Jay, Samuel Beal, Thomas Georgian, Kevin Gardner, Thomas Douglas, and Ashley Mossell. Effects of milling on the metals analysis of soil samples containing metallic residues. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41241.

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Metallic residues are distributed heterogeneously onto small-arms range soils from projectile fragmentation upon impact with a target or berm backstop. Incremental Sampling Methodology (ISM) can address the spatially heterogeneous contamination of surface soils on small-arms ranges, but representative kilogram-sized ISM subsamples are affected by the range of metallic residue particle sizes in the sample. This study compares the precision and concentrations of metals in a small-arms range soil sample processed by a puck mill, ring and puck mill, ball mill, and mortar and pestle prior to analysis. The ball mill, puck mill, and puck and ring mill produced acceptable relative standard deviations of less than 15% for the anthropogenic metals of interest (Lead (Pb), Antimony (Sb), Copper (Cu), and Zinc (Zn)), with the ball mill exhibiting the greatest precision for Pb, Cu, and Zn. Precision by mortar and pestle, without milling, was considerably higher (40% to >100%) for anthropogenic metals. Media anthropogenic metal concentrations varied by more than 40% between milling methods, with the greatest concentrations produced by the puck mill, followed by the puck and ring mill and then the ball mill. Metal concentrations were also dependent on milling time, with concentrations stabilizing for the puck mill by 300 s but still increasing for the ball mill over 20 h. Differences in metal concentrations were not directly related to the surface area of the milled sample. Overall, the tested milling methods were successful in producing reproducible data for soils containing metallic residues. However, the effects of milling type and time on concentrations require consideration in environmental investigations.
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Sariciftci, Niyazi Serdar. CO2 Recycling: The Conversion of Renewable Energy into Chemical Fuels. AsiaChem Magazine, November 2020. http://dx.doi.org/10.51167/acm00011.

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We want to bring the idea of conversion of CO2 into synthetic fuels (CO2 recycling) into attention, as a possible approach for transportable storage of renewable energy. Recycling of CO2 by homogeneous and/or heterogeneous catalytic approaches have been investigated with increasing emphasis within the scientific community. In the last decades, especially using organic and bioorganic systems towards CO2 reduction has attracted great interest. Chemical, electrochemical, photoelectrochemical, and bioelectrochemical approaches are discussed vividly as new routes towards the conversion of CO2 into synthetic fuels and/or useful chemicals in the recent literature. Here we want to especially emphasize the new developments in bio-electrocatalysis with some recent examples.
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Hassan, Tarek A., Jesse Schreger, Markus Schwedeler, and Ahmed Tahoun. Country Risk. Institute for New Economic Thinking Working Paper Series, March 2021. http://dx.doi.org/10.36687/inetwp157.

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We construct new measures of country risk and sentiment as perceived by global investors and executives using textual analysis of the quarterly earnings calls of publicly listed firms around the world. Our quarterly measures cover 45 countries from 2002-2020. We use our measures to provide a novel characterization of country risk and to provide a harmonized definition of crises. We demonstrate that elevated perceptions of a country's riskiness are associated with significant falls in local asset prices and capital outflows, even after global financial conditions are controlled for. Increases in country risk are associated with reductions in firm-level investment and employment. We also show direct evidence of a novel type of contagion, where foreign risk is transmitted across borders through firm-level exposures. Exposed firms suffer falling market valuations and significantly retrench their hiring and investment in response to crises abroad. Finally, we provide direct evidence that heterogeneous currency loadings on global risk help explain the cross-country pattern of interest rates and currency risk premia.
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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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