Academic literature on the topic 'Hybridized infrastructure'
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Journal articles on the topic "Hybridized infrastructure"
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Al-Shayea, Tamara K., Constandinos X. Mavromoustakis, Jordi Mongay Batalla, and George Mastorakis. "A hybridized methodology of different wavelet transformations targeting medical images in IoT infrastructure." Measurement 148 (December 2019): 106813. http://dx.doi.org/10.1016/j.measurement.2019.07.041.
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Strumberger, Ivana, Milan Tuba, Nebojsa Bacanin, and Eva Tuba. "Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm." Journal of Sensor and Actuator Networks 8, no. 3 (August 11, 2019): 44. http://dx.doi.org/10.3390/jsan8030044.
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Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure. By utilizing the cloud computing concept, distributed, scalable and elastic computing resources are provided to the end-users over high speed computer networks (the Internet). Cloudlet scheduling that has a significant impact on the overall cloud system performance represents one of the most important challenges in this domain. In this paper, we introduce implementations of the original and hybridized monarch butterfly optimization algorithm that belongs to the category of swarm intelligence metaheuristics, adapted for tackling the cloudlet scheduling problem. The hybridized monarch butterfly optimization approach, as well as adaptations of any monarch butterfly optimization version for the cloudlet scheduling problem, could not be found in the literature survey. Both algorithms were implemented within the environment of the CloudSim platform. The proposed hybridized version of the monarch butterfly optimization algorithm was first tested on standard benchmark functions and, after that, the simulations for the cloudlet scheduling problem were performed using artificial and real data sets. Based on the obtained simulation results and the comparative analysis with six other state-of-the-art metaheuristics and heuristics, under the same experimental conditions and tested on the same problem instances, a hybridized version of the monarch butterfly optimization algorithm proved its potential for tackling the cloudlet scheduling problem. It has been established that the proposed hybridized implementation is superior to the original one, and also that the task scheduling problem in cloud environments can be more efficiently solved by using such an algorithm with positive implications to the cloud management.
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Kim, Sung-Young. "Hybridized industrial ecosystems and the makings of a new developmental infrastructure in East Asia’s green energy sector." Review of International Political Economy 26, no. 1 (January 2, 2019): 158–82. http://dx.doi.org/10.1080/09692290.2018.1554540.
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Mallik, Avijit, and Arman Arefin. "Micro Hybridized Auto-rickshaw for Bangladesh: A Solution to Green Energy Vehicle." Open Mechanical Engineering Journal 12, no. 1 (May 23, 2018): 124–37. http://dx.doi.org/10.2174/1874155x01812010124.
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Background:Auto rickshaws are compact, three-wheeled vehicles which are normally used altogether in numerous Asian nations (i.e.China, Japan, Bangladesh, India, Pakistan and so forth) for transportation of people and products. The vehicles are little and have simple transportability in occupied Asian cities. In Bangladesh, auto rickshaws/simple bicycles regularly offer their taxi services, as they are fantastically reasonable to work. Simultaneously, these three-wheelers running on fuel cause extreme air-pollution and create impressive measures of greenhouse gasses (i.e.Carbon dioxide).Objectives:This paper introduces a transportation system in view of auto rickshaws that work in an eco-accommodating way. Existing vehicles are to be substituted by a small scale-cross sort framework overhauled in a way which helps the productivity of the vehicle.Methods:A reviving foundation is suggested that will take into consideration the power-packs to be charged utilizing halfway energy, for example, solar energy. Necessary simulations had been done using MATLAB platform.Results:Results shows that the current vehicle and nature, in which it works, made a model of the vehicle and researched re-charging infrastructure prerequisites and plans. About 31% efficiency was observed.Conclusions:The objective of the research introduced in this paper is to build up a conservative, vigorous and feasible fuel utilization system and deplete auto-rickshaws. In this research, 23% of grid power savings has been found.
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Ameen, Ayesha, and Shahid Raza. "Green Revolution: A Review." International Journal of Advances in Scientific Research 3, no. 12 (January 9, 2018): 129. http://dx.doi.org/10.7439/ijasr.v3i12.4410.
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The Green Revolution refers to a series of research, development, and technology transfer initiatives, occurring between 1943 and the late 1970s in Mexico, which increased industrialized agriculture production in many developing nations. The initiatives involved the development of high-yielding cereal grains, expansion of irrigation infrastructure, and distribution of hybridized seeds, synthetic fertilizers, and pesticides to farmers. The term "Green Revolution" was first used in 1968 by former USAID director William Gaud. The goal of the Green revolution was to increase the efficiency of agricultural processes so that the productivity of the crops was increased and could help developing countries to face their growing population’s needs.
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Strumberger, Ivana, Nebojsa Bacanin , Milan Tuba, and Eva Tuba. "Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm." Applied Sciences 9, no. 22 (November 14, 2019): 4893. http://dx.doi.org/10.3390/app9224893.
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The cloud computing paradigm, as a novel computing resources delivery platform, has significantly impacted society with the concept of on-demand resource utilization through virtualization technology. Virtualization enables the usage of available physical resources in a way that multiple end-users can share the same underlying hardware infrastructure. In cloud computing, due to the expectations of clients, as well as on the providers side, many challenges exist. One of the most important nondeterministic polynomial time (NP) hard challenges in cloud computing is resource scheduling, due to its critical impact on the cloud system performance. Previously conducted research from this domain has shown that metaheuristics can substantially improve cloud system performance if they are used as scheduling algorithms. This paper introduces a hybridized whale optimization algorithm, that falls into the category of swarm intelligence metaheuristics, adapted for tackling the resource scheduling problem in cloud environments. To more precisely evaluate performance of the proposed approach, original whale optimization was also adapted for resource scheduling. Considering the two most important mechanisms of any swarm intelligence algorithm (exploitation and exploration), where the efficiency of a swarm algorithm depends heavily on their adjusted balance, the original whale optimization algorithm was enhanced by addressing its weaknesses of inappropriate exploitation–exploration trade-off adjustments and the premature convergence. The proposed hybrid algorithm was first tested on a standard set of bound-constrained benchmarks with the goal to more accurately evaluate its performance. After, simulations were performed using two different resource scheduling models in cloud computing with real, as well as with artificial data sets. Simulations were performed on the robust CloudSim platform. A hybrid whale optimization algorithm was compared with other state-of-the-art metaheurisitcs and heuristics, as well as with the original whale optimization for all conducted experiments. Achieved results in all simulations indicate that the proposed hybrid whale optimization algorithm, on average, outperforms the original version, as well as other heuristics and metaheuristics. By using the proposed algorithm, improvements in tackling the resource scheduling issue in cloud computing have been established, as well enhancements to the original whale optimization implementation.
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McKelvey, Fenwick, and Jill Piebiak. "Porting the political campaign: The NationBuilder platform and the global flows of political technology." New Media & Society 20, no. 3 (December 1, 2016): 901–18. http://dx.doi.org/10.1177/1461444816675439.
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Political parties rely on digital technologies to manage volunteering, fundraising, fieldwork, and data collection. They also need tools to manage web, email, and social media outreach. Increasingly, new political engagement platforms integrate these tasks into one unified system. These platforms pose important questions about the flows of political practices from campaigns to platforms and vice versa as well as across campaigns globally. NationBuilder is a critical case in their study. It is a leading non-partisan platform used in the United States, Canada, the United Kingdom, and Australia. The case of NationBuilder in Canada analyzes how political engagement platforms coordinate the global flows of politics. Through interviews, we find reciprocal influence among developers, party activists, consultants, and the NationBuilder platform. We call this process porting. It results in NationBuilder becoming a more portable global platform in tandem with becoming an imported, hybridized part of a campaign’s digital infrastructure.
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Amoo, J. O., O. Osunade, O. E. Makinde, D. N. Ajobiewe, and E. O. Adebayo. "THE DEVELOPMENT OF AN ENHANCED WIRELESS SENSOR NETWORK LIFESPAN USING HYBRIDIZED CLUSTER AND K-MEANS ALGORITHM." Journal of Mathematical Sciences & Computational Mathematics 2, no. 2 (January 1, 2021): 194–209. http://dx.doi.org/10.15864/jmscm.2201.
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Wireless sensor networks (WSN) are useful in situations where a low-cost network needs to be set up quickly and no fixed network infrastructure exists. Typically, its applications are for monitoring system such as (environmental, air and water quality etc), natural disaster prevention, forest fire prevention, military exercises and emergency rescue operations. Wireless sensor network consists of large number of a group of small sensor nodes which utilizes battery and are with limited energy and life span that makes these sensors node inefficient, non-scalable, in- mobile and non-load balance. The nodes close to each other have more overlap; they sense the same data from environment and cause a waste of energy by generating repetitive data. In this study, a hybridized clustering and k-means algorithm are introduced, in each round, a certain number of nodes are specified; the nodes which have at least one neighboring node at a distance less than the threshold. Then, the wireless sensor network nodes were partitioned into different clusters and one of the nodes elected from each cluster to act as a cluster head with the use of a hybridized cluster and k mean algorithm. Among them, the nodes with less energy and greater overlap with their neighbors have been chosen to go to sleep mode. Also, the energy imbalance among sensor nodes is reduced by integrating the distance of the nodes from the base station into clustering policies. A simulator was developed with python programming language to evaluate the performance of this system. On the basis of the simulation results, the proposed scheme elongates the network life span, then, balances the load among sensor nodes further.
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Uddin, Md Mahraj, Golam Sakaline, and Mohammad Muhshin Aziz Khan. "Enhancing OEE as a Key Metric of TPM Approach-A Practical Analysis in Garments Industries." European Journal of Engineering and Technology Research 6, no. 2 (February 23, 2021): 142–47. http://dx.doi.org/10.24018/ejers.2021.6.2.2376.
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Ready Made Garments (RMG) sector has been the biggest earner of foreign currency for Bangladesh since the last few decades. Garments industries have been playing a major role in redefining the infrastructure and economy as well. Todays’ world of competition brings both opportunities and challenges in this sector. Productivity, efficiency of these industries can be achieved through implementation of perfect maintenance strategy and design. This paper aims to enhance the existing Overall Equipment Effectiveness (OEE) for the pitfall areas in the plant. After examining the current loophole, the research focused on improving OEE factors by adopting a hybridized Total Maintenance (TPM) scheme. To achieve a better outcome, the company agreed to implement the recommended plan appropriately. The OEE has been upgraded from about 57% to 69% due to the proper management and execution of the proposed TPM model. The result has provided an indication of maintaining sustainability to achieve the world class benchmark and founded a solid basis to implement the exploratory TPM model in the plant
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Akinyokun, Oluwole Charles, Emem Etok Akpan, and Udoinyang Godwin Inyang. "Design of a hybrid intelligent system for the management of flood disaster risks." Artificial Intelligence Research 8, no. 1 (March 6, 2019): 14. http://dx.doi.org/10.5430/air.v8n1p14.
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The frequency of occurrence and intensity of floods is a huge threat to environment, human existence, critical infrastructure and economy. Flood risk assessments depend on probabilistic approaches and suffer from non-existence of appropriate indices of acceptable risk, dearth of information and pieces of knowledge for explicit view and understanding of the characteristics and severity level of flood hazard. This paper proposes a hybridized intelligent framework comprising fuzzy logic (FL), neural network and genetic algorithm for clustering and visualization of flood data, prediction and classification of flood risks severity level. A multidimensional knowledge model of flood incidence using star, snowflake and facts constellation schemas was proposed for the knowledge warehouse. A six-layered adaptive neuro-fuzzy inference system implementing mamdani’s inference mechanism was design to evaluate input features based on fuzzy rules held in the multidimensional data model. The system is aimed at predicticting and classifying flood risk severity levels. The perception of emergency risk management is very important in modern society. Therefore, this work provides a framework for the practical applications of data mining techniques and tools to emergency risk management. The work would assist to identify locations with significant flood risk.
Dissertations / Theses on the topic "Hybridized infrastructure"
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Atwood, Alex (Wayne Alex). "Water infrastructure : hybridized architecture along the Arizona canal." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/70373.
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Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 144-145).
Due to budget issues, the Central Arizona Project (CAP) canal has been left exposed to the arid desert environment since its construction in the 1970s. As a result, 5% of the amount of water diverted from the Colorado River is lost to evaporation and seepage from the exposed aqueduct and Lake Pleasant reservoir. This amount of loss is equivalent to the amount of water required to supply 75,000 households annually. With increasing pressures on the Central Arizona canal, we should restrategize and reinvest in this infrastructure in order to prevent further inefficiencies and further loss of water. The objective of this thesis aims to engage architecture with water infrastructure in order to transform the canal into a water-efficient repository and recreational venue while recuperating the amount of water loss from the canal. Through the act of hybridization, a regional amenity is created, serving as support for the water infrastructure as well as creating spatial experience of water collection. A series of architectural interventions along the canal serve as nodes for rainwater collection. These nodes function as public spas that combine the act of swimming with the act of collecting and cleansing water in order to create spatial experience and awareness of the issues of water.
by Alex Atwood.
M.Arch.
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Chen, Xiwei. "Andingmen & deshengmen guanxiang urban boundary revitalization." 2013. http://hdl.handle.net/2152/20703.
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The master's design studio project is a semester-long design course focusing on
the methodologies and feasibilities to update the old city gates, walls and moats in
Beijing with hybridized infrastructure as catalyst to its surrounding area's urbanrenovation
process. With more and more emphasis on the re-construction of the
old city-structure in Beijing (city gates, city walls and Moats dated from Ming
Dynasty), its future urban design practice has become a critical topic. Study takes
Beijing Anding City Gate & Desheng City gate area, together with part of the moat
and city walls area linking those two gates as research object.text
Conference papers on the topic "Hybridized infrastructure"
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Ubong, Etim U., James Dorsey, Kevin Armstrong, Anthony Bucchi, Robert Cady, Marc Bastarache, Thomas Parrish, Scott Hoffman, Kevin Szymanski, and Alec Walker. "Designing a Recharging Grid for the Hybrid Vehicle System: Part I." In ASME 2011 9th International Conference on Fuel Cell Science, Engineering and Technology collocated with ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/fuelcell2011-54939.
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To accelerate the development of the hybrid transportation system, there is a need to set up an infrastructure for the hybrid vehicle battery recharging at parking lots of universities as test grounds for this technology. This work focuses on setting up or implementing a pilot recharging network at Kettering University’s main parking lot with a capacity of over 500 vehicles. As the society is transitioning from the fossil fuel powered vehicles to hybridized systems, recharging outlet from fuel cell, solar and wind turbines sources should be in place to facilitate the transfer by 2015. This project details the infrastructural design using fuel cell energy from the Center for Fuel Cell Research of the University for setting up 50 pilot recharging outlets at the parking lot behind the Mott Engineering Building to recharge hybrid vehicles in the main parking lot of the University. The current resources at the Center include a 5 kW SOFC test station, a 4.4 kW Ballard LT-PEM fuel cell mounted on a 5 kW test stand and 1.5 kW high temperature HT-PEM produced by GEI LLC. The use of solar energy during the day is also considered. The applicable codes and standards regarding such installations are reviewed.
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Berner, Andrew W. "Challenges for Implementing a Distributed-Control System for Turbine Engines." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23640.
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For several years, the potential benefits of implementing a distributed-control system on an airborne gas-turbine engine have been discussed and analyzed. However, after many years of trade studies and lab demonstrations, it appears that the airborne gas-turbine community is no closer to implementing this type of distributed architecture. The NASA-sponsored Distributed Engine Control Working Group is attempting to unify the efforts of engine manufacturers, their system integrators, and sub-tier suppliers. In order to collectively move forward, it is necessary to understand the issues that have impeded the progress of this approach. In so doing, the industry can focus on the near-term work required to develop programs that would create the necessary infrastructure to make airborne turbine-engine-based distributed-control systems a reality. This paper will present some proposed distributed-control architectures, advantages and disadvantages of some of these approaches, and will discuss the major technical challenges that have, to date, prevented these architectures from becoming viable. Some of the architectural approaches range from a fully distributed system (one distributed-control module per actuator loop) to a “hybridized” system that has a data concentrator and a reduced FADEC. The technical challenges that will be discussed include: high-temperature electronics, robust serial-communication bus in a high-temperature environment, power distribution, and certification.