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ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software (Onward!)

作者： Stromback, Filip Varro, Daniel Linkoping Univ Linkoping Sweden

ISBN: (纸本)9798400712159

Dynamic Software Updating (DSU) is a technique for updating programs without restarting them. It is useful in systems that provide live programming or in system with high availability needs. As a common limitation, existing DSU systems cannot update active functions. Hence, they are unable to update long-running functions, such as the main loop in a web server, or a state machine in an embedded system implemented as a loop. Updating active functions is challenging as it requires updating local variables and control flow to create a consistent state in the new version of the function. In this paper, we propose active DSU, which updates the call stack to migrate data and control flow of active functions without the need to wait for the program to reach a particular state beforehand. This is achieved by replacing return addresses with stubs to avoid moving other stack frames on the call stack. active DSU can migrate control flow automatically without input from the programmer in most cases.

关键词： dynamic software updating live programming active functions stack rewriting

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Smart Community Electric Energy Micro-Storage Systems With active functions

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2018年第3期54卷 1975-1982页

作者： Isabel Milanes-Montero, Maria Barrero-Gonzalez, Fermin Pando-Acedo, Jaime Gonzalez-Romera, Eva Romero-Cadaval, Enrique Moreno-Munoz, Antonio Univ Extremadura Escuela Ingn Ind Badajoz 06006 Spain Escuela Ingn Ind Power Elect & Elect Syst Res & Dev Grp Badajoz 06006 Spain Univ Extremadura Badajoz 06006 Spain Univ Cordoba Dept Elect & Comp Engn E-14071 Cordoba Spain

Smart grids aim to dramatically change residential area energy systems by creating active grid interaction. Specifically, renewable energies will play a key role when it comes to handling energy storage systems (ESS) at houses within a Smart Community. This paper presents a novel global control strategy for distributed micro-storage energy system. Each home receives the active and reactive power set-points from the Smart Community Energy Management System (SCEMS), providing energy resources to the community in function of the expected demand and production. Once SCEMS requirements are fulfilled, harmonic current components demanded by the household circuitry are injected according to the ESS available capacity. The proposed approach not only causes a local improvement in the power quality of the demanded current, but also contributes to the global power quality consumption of the community. Experimental tests are conducted using a prototype of the proposed ESS charger, validating the control strategies.

关键词： active functions battery chargers energy management energy storage harmonic control micro-storage systems smart communities

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Smart Community Electric Energy Micro-Storage Systems With active functions

Smart Community Electric Energy Micro-Storage Systems With A...

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16th IEEE International Conference on Environment and Electrical Engineering

关键词： active functions battery chargers energy management energy storage harmonic control micro-storage systems smart communities

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Robust Non-Linear active Function-Based FxRLS for Impulsive active Noise Control

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IEEE ACCESS 2024年 12卷 43222-43234页

作者： Turpati, Suman Roy, Ajay Swamy, K. C. T. Rahmani, Mohammad Khalid Imam Rehman, Masood Ur Jha, Sudan Ahmad, Sultan Nazeer, Jabeen Abdeljaber, Hikmat A. M. Aljohani, Yasser Eid G Pullaiah Coll Engn & Technol Dept Elect & Commun Engn Kurnool 518002 Andhra Prades India Lovely Profess Univ Dept Elect & Commun Engn Phagwara 144001 Punjab India Saudi Elect Univ Coll Comp & Informat Riyadh 11673 Saudi Arabia Kathmandu Univ Sch Engn Dept Comp Sci & Engn Kathmandu 45200 Nepal Prince Sattam Bin Abdulaziz Univ Coll Comp Engn & Sci Dept Comp Sci Al Kharj 11942 Saudi Arabia Chandigarh Univ Univ Ctr Res & Dev UCRD Dept Comp Sci & Engn Mohali 140413 Punjab India Appl Sci Private Univ Fac Informat Technol Dept Comp Sci Amman 11937 Jordan

active Noise Control (ANC) is an effective technique for removing undesirable disturbances based on destructive interference between two noises (i.e., the superposition principle). To reduce the Non-Gaussian distribution of impulsive noises, the ANC is implemented using a prominent Filtered Cross Least Mean Square (FxLMS) method that relies on reducing the unwanted noise. The standard FxLMS method fails to adapt to its specifications, resulting in poor convergence and instability in the presence of impulsive noises and a non-linear response from the ANC system's components. The Least Square family of Recursive Least Square (RLS) increases ANC performance by offering superior convergence performance to traditional stochastic algorithms. This paper proposes a novel technique called the recursive non-linear active threshold-based and modified gain FXRLS (NAMGFxRLS) algorithm to overcome the inadequacies of impulsive noise and non-linearity issues in the ANC. The suggested technique aims to automatically modify weights by the various sample processes, i.e., employing the FxRLS algorithm's updated gain to adjust the error and reference signals and appropriately deploying the threshold. The potential of the suggested strategy is proved by simulated results of convergence speed, stability, and excellent Mean Noise Reduction of roughly 52.8 % for various noises when compared to previous approaches, notably large impulsive noises.