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Distributed Systems

Ulrich Matter • Chapman & Hall/CRC eBooks (2023)

When we connect several computers in a network to jointly process large amounts of data, such a computing system is commonly referred to as a “distributed system”. From a technical standpoint the key difference between a distributed system ...

OPENALEX DOI: https://doi.org/10.1201/9781003378822-6

The LOCUS Distributed System Architecture

Gerald J. Popek • The MIT Press eBooks (1986)

LOCUS, a distributed version of the popular operating system Unix, provides an excellent solution. It makes a collection of computers, whether they are workstations or mainframes, as easy to use as a single computer by providing a set of su...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4279.001.0001

Caching Hints in Distributed Systems

Doug Terry • IEEE Transactions on Software Engineering (1987)

Caching reduces the average cost of retrieving data by amortizing the lookup cost over several references to the data. Problems with maintaining strong cache consistency in a distributed system can be avoided by treating cached information ...

OPENALEX DOI: https://doi.org/10.1109/tse.1987.232834

Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

Ahmed M. Shamsan Saleh • Blockchain Research and Applications (2024)

As the usage of artificial intelligence (AI) grows within the field of cybersecurity, so too does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology (BT) has emerged as the i...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.bcra.2024.100193

Memristor devices for neural networks

Hongsik Jeong, Luping Shi • Journal of Physics D Applied Physics (2018)

Abstract Neural network technologies have taken center stage owing to their powerful computing capability for supporting deep learning in artificial intelligence. However, conventional synaptic devices such as SRAM and DRAM are not satisfac...

OPENALEX cc-by DOI: https://doi.org/10.1088/1361-6463/aae223

Artificial Neural Networks in Agriculture

Sebastian Kujawa, Gniewko Niedbała • Agriculture (2021)

Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...

OPENALEX cc-by DOI: https://doi.org/10.3390/agriculture11060497

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks (2025)

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dcan.2025.07.003

Unstructured Grid Computing Acceleration Algorithm Based on Sunway TaihuLight

XU Le, AN Hong, CHEN Junshi, ZHANG Pengfei, WU Zheng • Jisuanji gongcheng (2022)

The performance of unstructured grid computing on Sunway TaihuLight, a domestic heterogeneous many-core platform, is limited by sparse storage, discrete memory access, and data dependency.To relieve the sparse storage and discrete memory ac...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0065567

The Carbon Budget of Land Conversion: Sugarcane Expansion and Implications for a Sustainable Bioenergy Landscape in Southeastern United States

E. Blanc‐Betes, N. Gomez‐Casanovas, C. J. Bernacchi, E. H. Boughton et al. • GCB Bioenergy (2025)

ABSTRACT The expansion of sugarcane onto land currently occupied by improved (IMP) and semi‐native (SN) pastures will reshape the U.S. bioenergy landscape. We combined biometric, ground‐based and eddy covariance methods to investigate the i...

DOAJ Open Access (DOAJ) DOI: 10.1111/gcbb.70058

Optimal dispatching method for integrated energy system based on robust economic model predictive control considering source–load power interval prediction

Yang Yu, Jiali Li, Dongyang Chen • Global Energy Interconnection (2022)

Effective source–load prediction and reasonable dispatching are crucial to realize the economic and reliable operations of integrated energy systems (IESs). They can overcome the challenges introduced by the uncertainties of new energies an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.gloei.2022.10.010

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

Victor J. Gutierrez-Martinez, Carlos A. Moreno-Bautista, Jose M. Lozano-Garcia, Alejandro Pizano-Martinez et al. • Energies (2019)

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

DOAJ Open Access (DOAJ) DOI: 10.3390/en12040671

Monostearin effects on the formation of precipitate in palm oil biodiesel and petroleum diesel blends with various storage temperature

Ghaizani Mohamad Aufar, Abdurrosyid Imam, Paryanto Imam, Gozan Misri • E3S Web of Conferences (2018)

Biodiesel is one of the renewable energy forms that is on demand in Indonesia. In the biodiesel production process, impurities such as Saturated Monoglycerides (SMG) in the form of monostearin that precipitate at low temperature are commonl...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/20185200026

Life cycle assessment of a renewable energy generation system with a vanadium redox flow battery in a NZEB household

J.R. Gouveia, E. Silva, T.M. Mata, A. Mendes et al. • Energy Reports (2020)

Buildings are responsible for a significant part of the global energy consumption. Besides the need to improve their energy efficiency, new buildings also need to generate their own energy, preferably from renewable sources, to become more ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyr.2019.08.024

The Economics of Renewable Energy

Geoffrey Heal • National Bureau of Economic Research (2009)

Greater use of renewable energy is seen as a key component of any move to combat climate change, and is being aggressively promoted as such by the new U.S. administration and by other governments.Yet there is little economic analysis of ren...

OPENALEX Open Access DOI: https://doi.org/10.3386/w15081

Fundamentals of renewable energy processes

• Choice Reviews Online (2006)

With energy sustainability and security at the forefront of public discourse worldwide, there is a pressing need to foster an understanding of clean, safe alternative energy sources such as solar and wind power. Aldo da Rosa's highly respec...

OPENALEX DOI: https://doi.org/10.5860/choice.43-2819

Extraction and Energy Management of Solar Photovoltaic, Fuel Cell, and Battery Systems Using a Novel Multi Port Power Converter for DC Microgrid Applications

Guguloth Nagesh, M. Venkatesh Naik, Dogga Raveendhra, Praveen Kumar Bonthagorla • IEEE Access (2025)

In DC microgrids, efficient power extraction and an effective energy management strategy (EMS) are crucial when integrating multiple power sources. This study presents a novel Four-Port Converter (FPC) configuration designed to extract powe...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3570190