Relevant bibliographies by topics / AGGREGATOR

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

Academic literature on the topic 'AGGREGATOR'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "AGGREGATOR"

1

Barnett, William, Kun He, and Jingtong He. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation." Journal of Risk and Financial Management 15, no. 10 (October 2, 2022): 447. http://dx.doi.org/10.3390/jrfm15100447.

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Simple sum monetary aggregates are based on accounting conventions and have no aggregation theoretic foundations in economic theory. In contrast, Divisia monetary aggregates are directly derived from aggregation and index number theory. Credit card services cannot be included in simple sum monetary aggregates since accounting conventions cannot aggregate over assets and liabilities. However, microeconomic aggregation theory aggregates over service flows, not stocks, regardless of whether from assets or liabilities. As a result, it has recently been shown that Divisia monetary aggregates can be augmented to include credit card services and are available from the Center for Financial Stability in New York City. Other sources of consumer credit cannot be included in Divisia monetary aggregates for the United States since other sources of consumer credit in the United States are linked to specific groups of consumer goods and hence, violate the weak separability condition for the existence of an aggregator function. However, China produces a unique opportunity to broaden the Divisia monetary aggregates since sources of consumer credit, not limited to credit cards, are applicable to all consumption purchases and hence, do not violate the existence condition for an aggregator function. We report initial results with a broader Chinese Divisia monetary aggregate, including not only credit card services but also other broadly acceptable consumer loan services.
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Livieratos, John, Phokion G. Kolaitis, and Lefteris Kirousis. "On the Computational Complexity of Non-Dictatorial Aggregation." Journal of Artificial Intelligence Research 72 (September 23, 2021): 137–83. http://dx.doi.org/10.1613/jair.1.12476.

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We investigate when non-dictatorial aggregation is possible from an algorithmic perspective, where non-dictatorial aggregation means that the votes cast by the members of a society can be aggregated in such a way that there is no single member of the society that always dictates the collective outcome. We consider the setting in which the members of a society take a position on a fixed collection of issues, where for each issue several different alternatives are possible, but the combination of choices must belong to a given set X of allowable voting patterns. Such a set X is called a possibility domain if there is an aggregator that is non-dictatorial, operates separately on each issue, and returns values among those cast by the society on each issue. We design a polynomial-time algorithm that decides, given a set X of voting patterns, whether or not X is a possibility domain. Furthermore, if X is a possibility domain, then the algorithm constructs in polynomial time a non-dictatorial aggregator for X. Furthermore, we show that the question of whether a Boolean domain X is a possibility domain is in NLOGSPACE. We also design a polynomial-time algorithm that decides whether X is a uniform possibility domain, that is, whether X admits an aggregator that is non-dictatorial even when restricted to any two positions for each issue. As in the case of possibility domains, the algorithm also constructs in polynomial time a uniform non-dictatorial aggregator, if one exists. Then, we turn our attention to the case where X is given implicitly, either as the set of assignments satisfying a propositional formula, or as a set of consistent evaluations of a sequence of propositional formulas. In both cases, we provide bounds to the complexity of deciding if X is a (uniform) possibility domain. Finally, we extend our results to four types of aggregators that have appeared in the literature: generalized dictatorships, whose outcome is always an element of their input, anonymous aggregators, whose outcome is not affected by permutations of their input, monotone, whose outcome does not change if more individuals agree with it and systematic, which aggregate every issue in the same way.
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Barnett, William A., Melvin J. Hinich, and Piyu Yue. "THE EXACT THEORETICAL RATIONAL EXPECTATIONS MONETARY AGGREGATE." Macroeconomic Dynamics 4, no. 2 (June 2000): 197–221. http://dx.doi.org/10.1017/s1365100500015030.

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In aggregation theory, index numbers are judged relative to their ability to track the exact aggregator functions nested within the economy's structure. We compare two statistical index numbers—the Divisia monetary aggregate and the simple-sum monetary aggregate—with the exact rational expectations monetary aggregate, using actual data. Because we are not using simulated data, we estimate the parameters of the Euler equations, and thereby of the nested monetary aggregator function, using the generalized method of moments. We explore the tracking errors of the two index numbers relative to the estimated exact aggregate. We investigate the circumstances under which risk aversion increases tracking error. We also use polyspectral methods to test for the existence of remaining nonlinear structure in the residual tracking errors.
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Akca, Selin, and Anita Rao. "Value of Aggregators." Marketing Science 39, no. 5 (September 2020): 893–922. http://dx.doi.org/10.1287/mksc.2020.1236.

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Aggregators are facing increased scrutiny by regulatory authorities, suggesting these sites have considerable market power. On the other extreme, firms are bypassing aggregators, choosing instead to sell directly to consumers. This raises the question as to which party has more market power: the aggregator or the individual firm. Focusing on the airline industry, we investigate who benefits most in the airline-aggregator relationship. Specifically, we ask what would happen to airline and aggregator site visits and purchases in the absence of a comprehensive aggregator. We first explore consumers’ search patterns on Southwest, an airline that has never been part of any aggregator. In a descriptive exercise, we find that consumers who book on Southwest are the least likely to visit aggregator sites. Second, we use the 2011 American dispute with Orbitz as an exogenous event, which led to American fares no longer being displayed on Orbitz for five months. We use this dispute to identify who was hurt the most—the aggregator or the airline—in the months following the dispute. Our findings indicate the aggregator loses the most when it is not comprehensive.
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Luttenberger Marić, Leila, and Vesna Bukarica. "Combined effort opportunities of aggregated demand response flexibility and energy savings in households." Journal of Energy - Energija 70, no. 4 (October 28, 2022): 7–12. http://dx.doi.org/10.37798/2021704257.

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This paper analyses possible synergies between demand response flexibility programmes and energy savings delivered by households. In the framework of the energy transition, European Union (EU) directives are endorsing energy consumers to become full-fledged participants of the energy market, mostly via independent aggregator intermediaries. The flexibility aggregators have a very arduous role in collecting, optimising and settling aggregated flexibility delivered from heterogenous sources on the energy market. Novel business models incorporating both flexibility and energy savings opportunities from households’ consumers could deliver revenue diversification for flexibility aggregators and support them in overcoming technical and motivational challenges for activating consumers in the energy market. This paper discusses the main pillars for a sustainable flexibility aggregator business model which sums up the potential for flexibility placement on energy, ancillary services and energy savings markets. The main challenge identified in this work are the requirements for programme establishment, allowing the recognition and proper interpretation of energy savings triggered by short-term events and obtained by an aggregator via explicit demand response actions. This paper proposes possible solutions for a joint venture of a flexibility and energy savings aggregator, thus alleviating possible data collection problems. Collaborative efforts have been recognised in the establishment and maintenance of information and communication technologies and infrastructure, therefore facilitating continuous monitoring and verification of flexibility programmes which are able to deliver energy savings.
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Khan, Saad Ullah, Khawaja Khalid Mehmood, Zunaib Maqsood Haider, Muhammad Kashif Rafique, Muhammad Omer Khan, and Chul-Hwan Kim. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders." Energies 14, no. 2 (January 11, 2021): 352. http://dx.doi.org/10.3390/en14020352.

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In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.
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Khan, Saad Ullah, Khawaja Khalid Mehmood, Zunaib Maqsood Haider, Muhammad Kashif Rafique, Muhammad Omer Khan, and Chul-Hwan Kim. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders." Energies 14, no. 2 (January 11, 2021): 352. http://dx.doi.org/10.3390/en14020352.

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In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.
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Aunul, Sofia, and Daniel Handoko. "Researches on LINE Today as News Aggregator." Jurnal Visi Komunikasi 21, no. 01 (July 22, 2022): 36. http://dx.doi.org/10.22441/visikom.v21i01.15120.

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News aggregator is as a process of taking news from published sources, then reshaping the news, and republishing it in a shorter form in one presentation. LINE today as news aggregator appeared on the third stage of the time line of online journalism in Indonesia. This paper attempts to highlight previous studies findings about LINE Today as news aggregator. News aggregator faces domino effect in which audiences think that news aggregator is not credible as a result of data mining gibing repetitive information. On the other hand, it is urgent that there should be encouragement of digital journalist competence to be familiar with aggregation. Later, this leads to the idea of slow technology as an antithesis of interactive technology (news aggregator) that is based on human-centered activity.
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Freire, Nuno, René Voorburg, Roland Cornelissen, Sjors de Valk, Enno Meijers, and Antoine Isaac. "Aggregation of Linked Data in the Cultural Heritage Domain: A Case Study in the Europeana Network." Information 10, no. 8 (July 30, 2019): 252. http://dx.doi.org/10.3390/info10080252.

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Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data.
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Bellini, Pierfrancesco, Ivan Bruno, Paolo Nesi, and Michela Paolucci. "IPR Centered Institutional Service and Tools for Content and Metadata Management." International Journal of Software Engineering and Knowledge Engineering 25, no. 08 (October 2015): 1237–70. http://dx.doi.org/10.1142/s0218194015500242.

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Multimedia services of cultural institutions need to be supported by content, metadata and workflow management systems to efficiently manage huge amount of content items and metadata production. Online digital libraries and cultural heritage institutions, as well as portals of publishers need an integrated multimedia back office in order to aggregate content collection and provide them to national and international aggregators, with respect to Intellectual Property Rights, IPR. The aim of this paper is to formalize and discuss requirements, modeling, design and validation of an institutional aggregator for metadata and content, coping with IPR Models for conditional access and providing content towards Europeana, the European international aggregator. This paper presents the identification of the Content Aggregator requirements for content management and IPR, and thus the definition and realization of a corresponding distributed architecture and workflow solution satisfying them. The main contributions of this paper consist of the formalization of IPR Model that enable the shortening of the activities for the IPR resolution, and avoid the assignment of conflicting rights/permissions during IPR model formalization, and thus of licensing. The proposed solution, models and tools have been validated in the case of the ECLAP service and results are reported in the paper. ECLAP Content Aggregator has been established by the European Commission to serve Europeana for the thematic area of Performing Arts institutions.
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Dissertations / Theses on the topic "AGGREGATOR"

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Lambert, Quentin. "Business Models for an Aggregator : Is an Aggregator economically sustainable on Gotland?" Thesis, KTH, Industriella informations- och styrsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98482.

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Under the determined impulse of the European Union to limit the environmental impact of energy-related services, the electricity sector will face several challenges in coming years. Integrating renewable energy sources in the distribution networks is certainly one of the most urging issues to be tackled with. The current grid and production structure cannot absorb the high penetration shares anticipated for 2020 without putting at risk the entire system. The innovative concept of smart grid offers promising solutions and interesting implementation possibilities. The objective of the thesis is to specifically study the technical and economic benefits that the creation of an aggregator on the Swedish island of Gotland would imply. Comparing Gotland's power system characteristics to the broad variety of solutions offered by demand side management, wind power integration enhancement by demand response appeared particularly suited. A business case, specifically oriented towards the minimisation of transmission losses by adapting the electric heat load of private households to the local wind production was designed. Numerical simulations have been conducted, evaluating the technical and economic outcomes, along with the environmental benets, under the current conditions on Gotland. Sensitivity analyses were also performed to determine the key parameters for a successful implementation. A prospective scenario for 2020, with the addition of electric vehicles, has finally been simulated to estimate the long term profitability of an aggregator on the island. The simulation results indicate that despite patent technical benefits for the distribution network, the studied service would not be profitable in the current situation on Gotland. This, because the transmission losses through the HVDC-cable concern limited amounts of power that are purchased on a market characterized by relatively cheap prices and low volatility. Besides, the high fixed costs the aggregator has to face to install technical equipment in every household constitutes another barrier to its setting up.
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Rozsnyó, Tomáš. "Modular Multiple Liquidity Source Price Streams Aggregator." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236492.

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This MSc Thesis was performed during a study stay at the Hochschule Furtwangen University, Furtwangen, Germany. This Master Project provides a theoretical background for understanding financial market principles. It focuses on foreign exchange market, where it gives a description of fundamentals and price analysis. Further, it covers principles of high-frequency trading including strategy, development and cost. FIX protocol is the financial market communication protocol and is discussed in detail. The core part of Master Project are sorting algorithms, these are covered on theoretical and practical level. Aggregator design includes implementation environment, specification and individual parts of aggregator application represented as objects. Implementation overview can be found in last Chapter.
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Norén, Andreas. "All-Digital Aggregator for Multi-Standard Video Distribution." Thesis, Linköpings universitet, Kommunikationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149301.

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In video transmission there is a need to compose a wide-band signal from a numberof narrow-band sub-signals. A flexible solution offers the possibility to place any narrow-band sub-signal anywhere in the wide-band signal, making better use of the frequency space of the wide-band signal. A multi-standard supportive solution will also consider the three standard bandwidths of digital and analog video transmissions, both terrestrial and cable (6; 7 and 8 MHz), in use today. This thesis work will study the efficiency of a flexible aggregation solution, in terms of computational complexity and error vector magnitude (EVM). The solution uses oversampled complex modulated filter banks and inner channelizers, to reduce the total workload on the system. Each sub-signal is channelized through an analysis filter bank and together all channelized sub-signals are aggregated through one synthesis filter bank to form the wide-band composite signal. The EVM between transmitted and received sub-signals are investigated for an increasing number of sub-signals. The solution in this thesis work is performing good for the tested number of up to 100 narrow-band sub-signals. The result indicates that the multi-standard flexible aggregation solution is efficient for an increasing number of transmitted sub-signals.
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Paulus, Amanda. "A Model-Predictive-Control Based Smart-Grid Aggregator." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230958.

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Intermittent energy source usage, such as solar and wind power, is continuously increasing. Intermittent energy sources are highly dependent on prevailing weather conditions, resulting in stochastic electricity generation. The expected stochasticity in electricity generation will cause issues for the current power grid. Moreover, an expected issue for the Swedish power grid is higher peak loads. Thus, there is an emerging need for novel and smart power systems capable of shifting peak loads in the future electricity grid. Model Predictive Control (MPC) is a sophisticated control method that is suitable for smart-grid aggregators. Hence, MPC can be used to optimally control the efficiency of energy use in a smart grid and shift peak loads. The purpose of this thesis is to investigate optimal peak load-shifting and efficiency of electrical substation operation in a smart grid in Ramsjöåsen, Sweden, using an MPC based smart-grid aggregator. Furthermore, the purpose is also to contribute to the theoretical foundation for future peak load-shifting in smart grids. Within the thesis project a mathematical model for the smart grid in Ramsjöåsen is developed, which is then used to simulate different scenarios. The simulated results indicate that an MPC based smart-grid aggregator improves the performance of the smart grid in Ramsjöåsen, as regards to both peak load-shifting and efficiency of electrical substation operation.
Användningen av intermittenta energikällor, såsom sol och vindkraft, ökar ständigt. Intermittenta energikällor är starkt beroende av rådande väderförhållanden, vilket resulterar i stokastisk elproduktion. Den förväntade stokasticiteten i elproduktion kommer att orsaka problem för det nuvarande elnätet. Dessutom förväntas högre toppbelastningar för det svenska elnätet. Således finns ett växande behov av nya och smarta kraftsystem som kan reducera toppbelastningar i det framtida elnätet. Model Predictive Control (MPC) är en sofistikerad styrningsmetod som är lämplig för smart-näts aggregatorer. Därav kan MPC användas för att optimalt styra effektivitet av energianvändning i ett smart nät och minska toppbelastningar. Syftet med detta examensarbete är att undersöka optimal reducering av toppbelastningar och drift-effektivitet av transformatorstationen i ett smart nät i Ramsjöåsen, Sverige, med hjälp av en MPC baserad smart-näts aggregator. Dessutom är syftet att bidra till den teoretiska grunden för framtida topplastskapning i smarta nät. Inom examensarbetsprojektet utvecklas en matematisk modell för smart nätet i Ramsjöåsen, som sedan används för att simulera olika scenarier. De simulerade resultaten indikerar att en MPC baserad smart-näts aggregator förbättrar smart nätets prestanda i Ramsjöåsen, vad gäller både topplastsreducering och drifteffektivitet av transformatorstationen.
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Hasan, Mehedi. "Aggregator-Assisted Residential Participation in Demand Response Program." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/32546.

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The demand for electricity of a particular location can vary significantly based on season, ambient temperature, time of the day etc. High demand can result in very high wholesale price of electricity. The reason for this is very short operating duration of peaking power plants which require large capital investments to establish. Those power plants remain idle for most of the time of a year except for some peak demand periods during hot summer days. This process is inherently inefficient but it is necessary to meet the uninterrupted power supply criterion. With the advantage of new technologies, demand response can be a preferable alternative, where peak reduction can be obtained during the short durations of peak demand by controlling loads. Some controllable loads are with thermal inertia and some loads are deferrable for a short duration without making any significant impact on usersâ lifestyle and comfort. Demand response can help to attain supply - demand balance without completely depending on expensive peaking power plants. In this research work, an incentive-based model is considered to determine the potential of peak demand reduction due to the participation of residential customers in a demand response program. Electric water heating and air-conditioning are two largest residential loads. In this work, hot water preheating and air-conditioning pre-cooling techniques are investigated with the help of developed mathematical models to find out demand response potentials of those loads. The developed water heater model is validated by comparing results of two test-case simulations with the expected outcomes. Additional energy loss possibility associated with water preheating is also investigated using the developed energy loss model. The preheating temperature set-point is mathematically determined to obtain maximum demand reduction by keeping thermal loss to a minimal level. Case studies are performed for 15 summer days to investigate the demand response potential of water preheating. Similarly, demand response potential associated with pre-cooling operation of air-conditioning is also investigated with the help of the developed mathematical model. The required temperature set-point modification is determined mathematically and validated with the help of known outdoor temperature profiles. Case studies are performed for 15 summer days to demonstrate effectiveness of this procedure. On the other hand, total load and demand response potential of a single house is usually too small to participate in an incentive-based demand response program. Thus, the scope of combining several houses together under a single platform is also investigated in this work. Monte Carlo procedure-based simulations are performed to get an insight about the best and the worst case demand response outcomes of a cluster of houses. In case of electrical water heater control, aggregate demand response potential of 25 houses is determined. Similarly, in case of air-conditioning control (pre-cooling), approximate values of maximum, minimum and mean demand reduction amounts are determined for a cluster of 25 houses. Expected increase in indoor temperature of a house is calculated. Afterwards, the air-conditioning demand scheduling algorithm is developed to keep aggregate air-conditioning power demand to a minimal level during a demand response event. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm.
Master of Science
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Homem, Irvin. "LEIA: The Live Evidence Information Aggregator : A Scalable Distributed Hypervisor‐based Peer‐2‐Peer Aggregator of Information for Cyber‐Law Enforcement I." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177902.

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The Internet in its most basic form is a complex information sharing organism. There are billions of interconnected elements with varying capabilities that work together supporting numerous activities (services) through this information sharing. In recent times, these elements have become portable, mobile, highly computationally capable and more than ever intertwined with human controllers and their activities. They are also rapidly being embedded into other everyday objects and sharing more and more information in order to facilitate automation, signaling that the rise of the Internet of Things is imminent. In every human society there are always miscreants who prefer to drive against the common good and engage in illicit activity. It is no different within the society interconnected by the Internet (The Internet Society). Law enforcement in every society attempts to curb perpetrators of such activities. However, it is immensely difficult when the Internet is the playing field. The amount of information that investigators must sift through is incredibly massive and prosecution timelines stated by law are prohibitively narrow. The main solution towards this Big Data problem is seen to be the automation of the Digital Investigation process. This encompasses the entire process: From the detection of malevolent activity, seizure/collection of evidence, analysis of the evidentiary data collected and finally to the presentation of valid postulates. This paper focuses mainly on the automation of the evidence capture process in an Internet of Things environment. However, in order to comprehensively achieve this, the subsequent and consequent procedures of detection of malevolent activity and analysis of the evidentiary data collected, respectively, are also touched upon. To this effect we propose the Live Evidence Information Aggregator (LEIA) architecture that aims to be a comprehensive automated digital investigation tool. LEIA is in essence a collaborative framework that hinges upon interactivity and sharing of resources and information among participating devices in order to achieve the necessary efficiency in data collection in the event of a security incident. Its ingenuity makes use of a variety of technologies to achieve its goals. This is seen in the use of crowdsourcing among devices in order to achieve more accurate malicious event detection; Hypervisors with inbuilt intrusion detection capabilities to facilitate efficient data capture; Peer to Peer networks to facilitate rapid transfer of evidentiary data to a centralized data store; Cloud Storage to facilitate storage of massive amounts of data; and the Resource Description Framework from Semantic Web Technologies to facilitate the interoperability of data storage formats among the heterogeneous devices. Within the description of the LEIA architecture, a peer to peer protocol based on the Bittorrent protocol is proposed, corresponding data storage and transfer formats are developed, and network security protocols are also taken into consideration. In order to demonstrate the LEIA architecture developed in this study, a small scale prototype with limited capabilities has been built and tested. The prototype functionality focuses only on the secure, remote acquisition of the hard disk of an embedded Linux device over the Internet and its subsequent storage on a cloud infrastructure. The successful implementation of this prototype goes to show that the architecture is feasible and that the automation of the evidence seizure process makes the otherwise arduous process easy and quick to perform.
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Wilcox, Jon Anthony. "Pricing of content on the Internet : the aggregator model." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10961.

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Facussé, Laura Y. "Leveraging the Indie movement in wellness through a waitlist aggregator." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118553.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2018.
"June, 2018." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 56-57).
Startups are finding it increasingly difficult to engage with their target market. Particularly in the wellness industry, where there is a lot of competition and startups need to stand out, the early stages are critical. They seek to generate leads and assess customer expectations through a landing page they host on their own domains, where users can join a waitlist to test their product idea. This can become expensive in terms of budget needed for public relations and social media to promote their site. Landing pages and waitlists allow early adopters and product enthusiasts to discover new products and services while they are still being developed. Followers gained via the waitlist help to validate proof of concept, develop of Key Performance Indicators (KPIs), and provide a following for successful market launch and fundraising/crowdfunding campaign. However, it can be difficult to marry potential product enthusiasts with waitlists of interest because not all products are reviewed on blogs, not all social media ads target them, and not all startups are interested in crowdfunding. Existing social media platforms, blogs, forums and crowdfunding sites that showcase new products thrive because early adopters and product enthusiasts are always looking to find out the next new thing, share it with their friends and even invest. However, these platforms have limitations that make it difficult for entrepreneurs to find and engage with quality early adopters. For example, crowdfunding sites tend to cater to hardware, are limited to certain industries, and do not allow entrepreneurs to generate leads and connect with their followers on their own platform prior to hosting a crowdfunding campaign. This thesis aims to outline a business plan and minimal viable product for a waitlist aggregator, an online meeting space for entrepreneurs and early adopters in the wellness industry. Through network effects of this proposed two-sided platform, the traffic volume generated could significantly reduce the need for paid digital marketing campaigns and help entrepreneurs find quality leads. It would also inform interested consumers about new product developments all in one place, let them join the waitlist, beta-test the product and communicate directly with the company.
by Laura Y. Facussé.
S.M. in Engineering and Management
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Hammam, Jasmine. "Potentialen för en aggregatoraktör att förmedla energitjänster i det svenska elnätet : Möjligheter att tillvarata elöverskott från solcells- och energilagringssystem i flerbostadshus." Thesis, Uppsala universitet, Industriell teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303700.

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The transition towards a renewable electrical power system, characterized by an increased share of intermittent power sources, involves several technical, economical, structural and regulatory challenges in order to secure a reliable and stable power grid. Residential apartment buildings are increasingly being equipped with photovoltaic systems which are assumed to be supplemented with distributed energy storage solutions in the near future. To facilitate an efficient network utilization in the future an external broker, a so called aggregator, is currently being discussed in the industry as a possibility to enable the exchange of energy services between a collection of end consumers and electricity operators. The aim of this study is to investigate the prospects for an aggregator in the segment of residential apartment buildings in Sweden. A sociotechnical perspective has been applied in the study as the envisioned transition of the power grid involves a broad spectrum of interdisciplinary variables. The study is based on literature studies and interviews with stakeholder representatives. The results of the study shows that the prospects for aggregators depends on a still pending massmarket availability of technological prerequisits for managing the complex interaction between different parts of the electrical system. In addition, new regulatory structures will be essential in shaping the future conditions that would in general facilitate a successful transition and stable generation of arbitrage revenue.
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Gomes, Freire Pedro. "Aggregator to connect in-body sensors to the health record system." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446416.

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Wireless connected Implanted Medical Devices are becoming more and more common. Also, the increasing connectivity of medical sensors opens room for improving one important field of Health Care, Remote Patients Monitoring. Therefore, to explore this scenario, thisthesis aims to create a device that works as an Aggregator of data arising from Implanted Medical Devices. This Aggregator will then transmit the data autonomously to a Health Care monitoring provider. The main objective of the Aggregator is to provide the technology for constant monitoring of the patients' Implanted Health Care Sensors. To do that, in this thesis, we developed a prototype of theAggregator using a general-purpose embedded platform. The objective is to test the functioning of the system by receiving data,processing, encrypt and send it through Bluetooth to a specialized remote monitoring Health Application Platform called IHAP by Intel®. This platform provides a standard commercial platform to connect the Aggregator to the Health Care Monitoring providers. In the case of this thesis, the Swedish company Alleato provides a server to which the data was forwarded. Once in the server, Alleato can decrypt the data and provide it to the medical specialist. A prototype was developed in a Raspberry PI so the software platform of the Aggregator could be certified. A series of performance tests were made to determine the main constraints of this project. The objective is to establish the grounds for the future development ofan Aggregator in a specialized embedded platform. Therefore, the main code parts of the Aggregator were tested and compared with aGeneral-Purpose Microcontroller, the ARM Cortex M0 STM32F072, and also with the SoC from Nordic Semiconductors, the nRF52840. The STM32 results gave a reference of performance on how the functions perform in General Purposes Microcontrollers. However, as expected, the Nordic nRF52840 showed to be the fastest platform for processing the Aggregator's functions. Therefore, it represents the best candidate for future projects with the platform developed inthis thesis.
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Books on the topic "AGGREGATOR"

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R, Botet, ed. Aggregation and fractal aggregates. Singapore: World Scientific, 1987.

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Piette, Mary Ann, and Sila Kiliccote. Automation of capacity bidding with an aggregator using open automated demand response: PIER final project report. Sacramento, Calif.]: California Energy Commission, 2008.

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Fisher, Franklin M. Aggregation: Aggregate production functions and related topics. Cambridge, Mass: MIT Press, 1993.

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Basu, Susanto. Aggregate productivity and the productivity of aggregates. Cambridge, MA: National Bureau of Economic Research, 1995.

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Fisher, Franklin M. Aggregation: Aggregate production functions and related topics. New York: Harvester Wheatsheaf, 1992.

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Heaton, John. The interaction between time-nonseparable preferences and time aggregaton [i.e. aggregation]. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1991.

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National Stone Association (U.S.), ed. The aggregates handbook. Alexandria, VA: National Stone, Sand and Gravel Association, 2013.

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Das, Deb Kusum. Aggregate productivity growth in Indian manufacturing: An application of Domar aggregation. New Delhi: Indian Council for Research on International Economic Relations, 2009.

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Lee, E. J. Alkali-aggregate reaction 1977-1992: A definitive bibliography. Slough: British Cement Association, 1992.

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Lee, E. J. Alkali-aggregate reaction 1977-1992: A definitive bibliography. Slough: British Cement Association, 1992.

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Book chapters on the topic "AGGREGATOR"

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Gavrilis, Dimitris, Costis Dallas, and Stavros Angelis. "A Curation-Oriented Thematic Aggregator." In Research and Advanced Technology for Digital Libraries, 132–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40501-3_13.

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Li, Jiasun. "DeFi as an Information Aggregator." In Lecture Notes in Computer Science, 171–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63958-0_15.

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Gavrilis, Dimitris, Vangelis Nomikos, Konstantinos Kravvaritis, Stavros Angelis, Christos Papatheodorou, and Panos Constantopoulos. "MORe: A Micro-service Oriented Aggregator." In Communications in Computer and Information Science, 15–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49157-8_2.

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Dunlop, Neil. "Excel As Database and Data Aggregator." In Beginning Big Data with Power BI and Excel 2013, 15–34. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0529-7_2.

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Rueda, Juan Lambea, Sergio García Gómez, and Augustín Escámez Chimeno. "The Service Aggregator Use Case Scenario." In Service Level Agreements for Cloud Computing, 329–42. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1614-2_20.

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Cunha, David, Pedro Neves, and Pedro Sousa. "A Platform-as-a-Service API Aggregator." In Advances in Intelligent Systems and Computing, 807–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36981-0_75.

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Moustafa, Nour, Gideon Creech, and Jill Slay. "Flow Aggregator Module for Analysing Network Traffic." In Advances in Intelligent Systems and Computing, 19–29. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7871-2_3.

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Lin, Bei, Binli Luo, Jiaojiao He, and Ning Gui. "Self-supervised Adaptive Aggregator Learning on Graph." In Advances in Knowledge Discovery and Data Mining, 29–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75768-7_3.

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Baringo, Luis, Miguel Carrión, and Ruth Domínguez. "Bidding Strategy of an Electric Vehicle Aggregator." In Electric Vehicles and Renewable Generation, 241–85. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09079-0_6.

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Eusébio, Eduardo, Jorge de Sousa, and Mário Ventim Neves. "Risk Analysis and Behavior of Electricity Portfolio Aggregator." In IFIP Advances in Information and Communication Technology, 365–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16766-4_39.

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Conference papers on the topic "AGGREGATOR"

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Ji, Jinlong, Xuhui Chen, Qianlong Wang, Lixing Yu, and Pan Li. "Learning to Learn Gradient Aggregation by Gradient Descent." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/363.

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In the big data era, distributed machine learning emerges as an important learning paradigm to mine large volumes of data by taking advantage of distributed computing resources. In this work, motivated by learning to learn, we propose a meta-learning approach to coordinate the learning process in the master-slave type of distributed systems. Specifically, we utilize a recurrent neural network (RNN) in the parameter server (the master) to learn to aggregate the gradients from the workers (the slaves). We design a coordinatewise preprocessing and postprocessing method to make the neural network based aggregator more robust. Besides, to address the fault tolerance, especially the Byzantine attack, in distributed machine learning systems, we propose an RNN aggregator with additional loss information (ARNN) to improve the system resilience. We conduct extensive experiments to demonstrate the effectiveness of the RNN aggregator, and also show that it can be easily generalized and achieve remarkable performance when transferred to other distributed systems. Moreover, under majoritarian Byzantine attacks, the ARNN aggregator outperforms the Krum, the state-of-art fault tolerance aggregation method, by 43.14%. In addition, our RNN aggregator enables the server to aggregate gradients from variant local models, which significantly improve the scalability of distributed learning.
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Kysil, Veronika. "Vilna nauka: news aggregator of ukrainian science based on the example of world analogues." In First International Conference "Open Science and Innovation in Ukraine 2022". State Scientific and Technical Library of Ukraine, 2022. http://dx.doi.org/10.35668/978-966-479-129-5-3-6.

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The research analyzes the strengths and weaknesses of the world’s scientific news aggregators, their resource support. In addition, it was found that the independence of the scientific press is one of the main criteria for the success of the aggregator and compliance with journalistic ethics. The task of the research is to resolve the problematic issue of resource funding, when state funding of aggregators allows the authorities to control the process of information publication. In parallel with state funding, funds or crowdfunding platforms allow the aggregator to exist without political bias. On the other hand, public financing of science popularization platforms can lead to global questions about the existence of the aggregator as such due to the lack of necessary funding.
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Farhi, Negar. "Broadband news aggregator." In ACM SIGGRAPH 2006 Research posters. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179622.1179785.

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Radu, Raluca Elena, Octavian Grigorescu, and Razvan Victor Rughinis. "Security News Aggregator." In 2019 18th RoEduNet Conference: Networking in Education and Research (RoEduNet). IEEE, 2019. http://dx.doi.org/10.1109/roedunet.2019.8909609.

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Chen, Jie, Bo Yang, Cailian Chen, and Xinping Guan. "Real-time payoff-maximization for aggregator in dynamic aggregator-PHEV system." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896361.

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"POWERING RSS AGGREGATORS WITH ONTOLOGIES - A Case for the RSSOwl Aggregator." In 8th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002458001970200.

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Jing, Yongcheng, Yiding Yang, Xinchao Wang, Mingli Song, and Dacheng Tao. "Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00525.

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Pellegrini, Giovanni, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, and Manfred Jaeger. "Learning Aggregation Functions." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/398.

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Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability. Typically, representations over sets are computed by using fixed aggregation functions such as sum or maximum. However, recent results showed that universal function representation by sum- (or max-) decomposition requires either highly discontinuous (and thus poorly learnable) mappings, or a latent dimension equal to the maximum number of elements in the set. To mitigate this problem, we introduce LAF (Learning Aggregation Function), a learnable aggregator for sets of arbitrary cardinality. LAF can approximate several extensively used aggregators (such as average, sum, maximum) as well as more complex functions (e.g. variance and skewness). We report experiments on semi-synthetic and real data showing that LAF outperforms state-of-the-art sum- (max-) decomposition architectures such as DeepSets and library-based architectures like Principal Neighborhood Aggregation, and can be effectively combined with attention-based architectures.
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Khan, Shahid, Tabrez Khan, Chandresh Prasad, Amaanulla Khatri, and Irfan Khan. "Intelligent News Aggregator and Validator." In 2019 International Conference on Nascent Technologies in Engineering (ICNTE). IEEE, 2019. http://dx.doi.org/10.1109/icnte44896.2019.8945945.

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"PENDA: Privacy ENhanced Data Aggregator." In 2022 the 12th International Workshop on Computer Science and Engineering. WCSE, 2022. http://dx.doi.org/10.18178/wcse.2022.06.010.

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Reports on the topic "AGGREGATOR"

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Fally, Thibault. Generalized Separability and Integrability: Consumer Demand with a Price Aggregator. Cambridge, MA: National Bureau of Economic Research, April 2022. http://dx.doi.org/10.3386/w29997.

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Kiliccote, Sila, and Mary Ann Piette. Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/1011044.

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Pryshliak, Yaryna. DESTRUCTIVE OF CURRENT INFORMATION: CONTENT ANALYSIS OF THE HEADLINES OF NEWS AGGREGATORS IN UKRAINE, USA AND RUSSIA. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11102.

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The article outlines the impact of negative news on the minds of recipients, describes the reasons for the audience’s demand for negative information and represents the quantitative data of destructive information in the media space of Ukraine, USA and Russia. The rapid development of communication technologies, which contributes to the creation and dissemination of the largest volumes of information in human history, and therefore negative news, explains the relevance of the chosen topic. The main objectives of the study are news headlines that appear in the feed of the Google News aggregator (regional versions of the United States, Ukraine and Russia).
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Xu, Li, Wenjun Chen, Caijun Tian, Yan Zhang, Yan Ma, Tianhao Li, Zhe Zhang, and Hongjie Liu. Efficacy and Safety of Chinese Herbal Medicines Combined with Chemical Drugs for Alzheimer's Disease: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0007.

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Review question / Objective: It is a common practice to apply Chinese herbal medicine with chemical drugs like donepezil to treat Alzheimer's disease in China. Therefore, the aim of this meta-analysis of randomized controlled trials is to evaluate whether this combination is more effective and safer than chemical drugs applied alone. Information sources: Literatures will be searched in China National Knowledge Infrastructure (CNKI) (http://www.cnki.net/), Wanfang Database (http://www.wanfangdata.com.cn), and the Chinese Scientific Journals Full-Text Database (VIP) (http://www.cqvip.com/) in Chinese, in the Japan Science and Technology Information Aggregator, Electronic (J-STAGE) in Japanese and English, and in PubMed (https://www.ncbi.nlm.nih.gov/pubmed/) and Web of Science (http://apps.webofknowledge.com) in English.
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Basu, Susanto, and John Fernald. Aggregate Productivity and the Productivity of Aggregates. Cambridge, MA: National Bureau of Economic Research, December 1995. http://dx.doi.org/10.3386/w5382.

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry production process and at construction sites, particularly for aggregates in stockpile form. This research study presents a 3D reconstruction-segmentation-completion approach based on deep learning techniques by combining three developed research components: field 3D reconstruction procedures, 3D stockpile instance segmentation, and 3D shape completion. The approach was designed to reconstruct aggregate stockpiles from multi-view images, segment the stockpile into individual instances, and predict the unseen side of each instance (particle) based on the partial visible shapes. Based on the dataset constructed from individual aggregate models, a state-of-the-art 3D instance segmentation network and a 3D shape completion network were implemented and trained, respectively. The application of the integrated approach was demonstrated on re-engineered stockpiles and field stockpiles. The validation of results using ground-truth measurements showed satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. The algorithms are integrated into a software application with a user-friendly graphical user interface. Based on the findings of this study, this stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site QA/QC tasks of riprap rock and aggregate stockpiles.
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Sneed, Lesley H., Samantha Wermager, and Kristian Krc. Interface Shear Transfer of Lightweight Aggregate Concretes with Different Lightweight Aggregates. Precast/Prestressed Concrete Institute, 2016. http://dx.doi.org/10.15554/pci.rr.comp-005.

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Snyder, Victor A., Dani Or, Amos Hadas, and S. Assouline. Characterization of Post-Tillage Soil Fragmentation and Rejoining Affecting Soil Pore Space Evolution and Transport Properties. United States Department of Agriculture, April 2002. http://dx.doi.org/10.32747/2002.7580670.bard.

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Tillage modifies soil structure, altering conditions for plant growth and transport processes through the soil. However, the resulting loose structure is unstable and susceptible to collapse due to aggregate fragmentation during wetting and drying cycles, and coalescense of moist aggregates by internal capillary forces and external compactive stresses. Presently, limited understanding of these complex processes often leads to consideration of the soil plow layer as a static porous medium. With the purpose of filling some of this knowledge gap, the objectives of this Project were to: 1) Identify and quantify the major factors causing breakdown of primary soil fragments produced by tillage into smaller secondary fragments; 2) Identify and quantify the. physical processes involved in the coalescence of primary and secondary fragments and surfaces of weakness; 3) Measure temporal changes in pore-size distributions and hydraulic properties of reconstructed aggregate beds as a function of specified initial conditions and wetting/drying events; and 4) Construct a process-based model of post-tillage changes in soil structural and hydraulic properties of the plow layer and validate it against field experiments. A dynamic theory of capillary-driven plastic deformation of adjoining aggregates was developed, where instantaneous rate of change in geometry of aggregates and inter-aggregate pores was related to current geometry of the solid-gas-liquid system and measured soil rheological functions. The theory and supporting data showed that consolidation of aggregate beds is largely an event-driven process, restricted to a fairly narrow range of soil water contents where capillary suction is great enough to generate coalescence but where soil mechanical strength is still low enough to allow plastic deforn1ation of aggregates. The theory was also used to explain effects of transient external loading on compaction of aggregate beds. A stochastic forInalism was developed for modeling soil pore space evolution, based on the Fokker Planck equation (FPE). Analytical solutions for the FPE were developed, with parameters which can be measured empirically or related to the mechanistic aggregate deformation model. Pre-existing results from field experiments were used to illustrate how the FPE formalism can be applied to field data. Fragmentation of soil clods after tillage was observed to be an event-driven (as opposed to continuous) process that occurred only during wetting, and only as clods approached the saturation point. The major mechanism of fragmentation of large aggregates seemed to be differential soil swelling behind the wetting front. Aggregate "explosion" due to air entrapment seemed limited to small aggregates wetted simultaneously over their entire surface. Breakdown of large aggregates from 11 clay soils during successive wetting and drying cycles produced fragment size distributions which differed primarily by a scale factor l (essentially equivalent to the Van Bavel mean weight diameter), so that evolution of fragment size distributions could be modeled in terms of changes in l. For a given number of wetting and drying cycles, l decreased systematically with increasing plasticity index. When air-dry soil clods were slightly weakened by a single wetting event, and then allowed to "age" for six weeks at constant high water content, drop-shatter resistance in aged relative to non-aged clods was found to increase in proportion to plasticity index. This seemed consistent with the rheological model, which predicts faster plastic coalescence around small voids and sharp cracks (with resulting soil strengthening) in soils with low resistance to plastic yield and flow. A new theory of crack growth in "idealized" elastoplastic materials was formulated, with potential application to soil fracture phenomena. The theory was preliminarily (and successfully) tested using carbon steel, a ductile material which closely approximates ideal elastoplastic behavior, and for which the necessary fracture data existed in the literature.
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Lomboy, Gilson, Douglas Cleary, Seth Wagner, Yusef Mehta, Danielle Kennedy, Benjamin Watts, Peter Bly, and Jared Oren. Long-term performance of sustainable pavements using ternary blended concrete with recycled aggregates. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40780.

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Dwindling supplies of natural concrete aggregates, the cost of landfilling construction waste, and interest in sustainable design have increased the demand for recycled concrete aggregates (RCA) in new portland cement concrete mixtures. RCA repurposes waste material to provide useful ingredients for new construction applications. However, RCA can reduce the performance of the concrete. This study investigated the effectiveness of ternary blended binders, mixtures containing portland cement and two different supplementary cementitious materials, at mitigating performance losses of concrete mixtures with RCA materials. Concrete mixtures with different ternary binder combinations were batched with four recycled concrete aggregate materials. For the materials used, the study found that a blend of portland cement, Class C fly ash, and blast furnace slag produced the highest strength of ternary binder. At 50% replacement of virgin aggregates and ternary blended binder, some specimens showed comparable mechanical performance to a control mix of only portland cement as a binder and no RCA substitution. This study demonstrates that even at 50% RCA replacement, using the appropriate ternary binder can create a concrete mixture that performs similarly to a plain portland cement concrete without RCA, with the added benefit of being environmentally beneficial.
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Thembeka Ncube, Ayanda, and Antonio Bobet. Use of Recycled Asphalt. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317316.

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The term Reclaimed Asphalt Pavement (RAP) is used to designate a material obtained from the removal of pavement materials. RAP is used across the US in multiple applications, largely on asphalt pavement layers. RAP can be described as a uniform granular non-plastic material, with a very low percentage of fines. It is formed by aggregate coated with a thin layer of asphalt. It is often used mixed with other granular materials. The addition of RAP to aggregates decreases the maximum dry unit weight of the mixture and decreases the optimum water content. It also increases the Resilient Modulus of the blend but decreases permeability. RAP can be used safely, as it does not pose any environmental concerns. The most important disadvantage of RAP is that it displays significant creep. It seems that this is caused by the presence of the asphaltic layer coating the aggregate. Creep increases with pressure and with temperature and decreases with the degree of compaction. Creep can be mitigated by either blending RAP with aggregate or by stabilization with chemical compounds. Fly ash and cement have shown to decrease, albeit not eliminate, the amount of creep. Mechanical stabilizing agents such as geotextiles may also be used.
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