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Minimizing Energy Cost of Air Conditioner in a Residential House under Demand Side Response Model

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Journal of Electronic Science and Technology 2017年第4期15卷 377-384页

作者： marwan marwan Syafaruddin Electrical Engineering Department Polytechnic State of Ujung Pandang Makassar 90245 Indonesia Electrical Engineering Department Hasanuddin University Makassar 90245 Indonesia

This research is aimed to develop a consumer demanding side response model to assist electricity consumers to mitigate peak demands during the peak season. The main contribution of this research is showing that consumers can mitigate peak demands by optimizing energy costs of an air conditioner(AC) when a spike happens. It may only occur in a one and a half hours spike during the peak season. This model also investigates how AC applies the pre-cooling method when there is a substantial risk of a price spike. The results indicate that the potential benefit of the model is achieving energy savings for consumers and aggregators,also reducing electricity bills for the consumers. The model is tested with selected characteristics of the room,and based on the standard room in a residential house in Makassar, a city of Indonesia.

关键词： Consumer cooling costs modeling pre-cooling temperature

Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering

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Big Data Mining and Analytics 2023年第1期6卷 72-84页

作者： Samin Poudel marwan Bikdash Department of Computational Data Science and Engineering North Carolina A&T State UniversityGreensboroNC 27401USA

We postulate and analyze a nonlinear subsampling accuracy loss(SSAL)model based on the root mean square error(RMSE)and two SSAL models based on the mean square error(MSE),suggested by extensive preliminary *** SSAL models predict accuracy loss in terms of subsampling parameters like the fraction of users dropped(FUD)and the fraction of items dropped(FID).We seek to investigate whether the models depend on the characteristics of the dataset in a constant way across datasets when using the SVD collaborative filtering(CF)*** dataset characteristics considered include various densities of the rating matrix and the numbers of users and *** simulations and rigorous regression analysis led to empirical symmetrical SSAL models in terms of FID and FUD whose coefficients depend only on the data *** SSAL models came out to be multi-linear in terms of odds ratios of dropping a user(or an item)*** dropping ***,one MSE deterioration model turned out to be linear in the FID and FUD odds where their interaction term has a zero *** importantly,the models are constant in the sense that they are written in closed-form using the considered data characteristics(densities and numbers of users and items).The models are validated through extensive simulations based on 850 synthetically generated primary(pre-subsampling)matrices derived from the 25M MovieLens *** 460000 subsampled rating matrices were then simulated and subjected to the singular value decomposition(SVD)CF *** validation was conducted using the 1M MovieLens and the Yahoo!Music Rating *** models were constant and significant across all 3 datasets.

关键词： collaborative filtering subsampling accuracy loss models performance loss recommendation system simulation rating matrix root mean square error

Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling

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Big Data Mining and Analytics 2022年第3期5卷 192-205页

作者： Samin Poudel marwan Bikdash Department of Computational Data Science and Engineering North Carolina A&T State UniversityGreensboroNC 27401USA

Dropping fractions of users or items judiciously can reduce the computational cost of Collaborative Filtering(CF)*** effect of this subsampling on the computing time and accuracy of CF is not fully understood,and clear guidelines for selecting optimal or even appropriate subsampling levels are not *** this paper,we present a Density-based Random Stratified Subsampling using Clustering(DRSC)algorithm in which the desired Fraction of Users Dropped(FUD)and Fraction of Items Dropped(FID)are specified,and the overall density during subsampling is ***,we develop simple models of the Training Time Improvement(TTI)and the Accuracy Loss(AL)as functions of FUD and FID,based on extensive simulations of seven standard CF algorithms as applied to various primary matrices from MovieLens,Yahoo Music Rating,and Amazon Automotive *** show that both TTI and a scaled AL are bi-linear in FID and FUD for all seven *** TTI linear regression of a CF method appears to be same for all *** simulations illustrate that TTI can be estimated reliably with FUD and FID only,but AL requires considering additional dataset *** derived models are then used to optimize the levels of subsampling addressing the tradeoff between TTI and AL.A simple sub-optimal approximation was found,in which the optimal AL is proportional to the optimal Training Time Reduction Factor(TTRF)for higher values of TTRF,and the optimal subsampling levels,like optimal FID/(1-FID),are proportional to the square root of TTRF.

关键词： Collaborative Filtering(CF) subsampling Training Time Improvement(TTI) performance loss Recommendation System(RS) collaborative filtering optimal solutions rating matrix

Optimal control of thermoelastic beam vibrations by piezoelectric actuation

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控制理论与应用（英文版） 2013年第3期11卷 463-467页

作者： Ibrahim SADEK marwan ABUKHALED Department of Mathematics and Statistics American University of Sharjah

This paper presents the vibrations suppression of a thermoelastic beam subject to sudden heat input by a single piezoelectric actuator. An optimization problem is formulated as the minimization of a quadratic functional in terms of displacement and velocity at a given time and with the least control effort. The solution method is based on a combination of modal expansion and variational approaches. The modal expansion approach is used to convert the optimal control of distributed parameter system into the optimal control of lumped parameter system. By utilizing the variational approach, an explicit optimal control law is derived and the determination of the corresponding displacement and velocity is reduced to solving a set of ordinary differential equations. Numerical results are presented to demonstrate the effectiveness and the applicability of the proposed method.

关键词： Modal expansion approach Optimal control Thermoelastic beam Piezoelectric actuation Variational approach

A variety of physical structures to the generalized equal-width equation derived from Wazwaz-Benjamin-Bona-Mahony model

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Journal of Ocean Engineering and Science 2022年第3期7卷 244-247页

作者： Imad Jaradat marwan Alquran Department of Mathematics and Statistics Jordan University of Science&TechnologyIrbid 22110Jordan

In this paper we are interested in investigating the physical shape-changed propagations to the generalized Equal-Width equation through studying the explicit solutions of Wazwaz-Benjamin-Bona-Mahony *** models are of considerable importance in many disciplines of research,including ocean engineering and science,and describe the propagation of equally-width *** highlight the effect of the coefficients of both nonlinearity and dispersion terms on changing the physical shape of both models by implementing the new exponential-expansion scheme.2D and 3D graphical plots are provided to validate the findings of the paper.

关键词： Exponential-expansion method Generalized equal-width equation Wazwaz-Benjamin-Bona-Mahony equation

Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators

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Science China(Information Sciences) 2018年第11期61卷 67-85页

作者： marwan ABDELATTI Chengzhi YUAN Wei ZENG Cong WANG Department of Mechanical Industrial and Systems Engineering University of Rhode Island School of Mathematics and Big Data Foshan University College of Automation Science and Engineering South China University of Technology School of Mechanical and Electrical Engineering Longyan University

This paper addresses the learning control problem for a group of robot manipulators with homogeneous nonlinear uncertain dynamics, where all the robots have an identical system structure but the reference signals to be tracked differ. The control objective is twofold: to track on reference trajectories and to learn/identify uncertain dynamics. For this purpose, deterministic learning theory is combined with consensus theory to find a common neural network(NN) approximation of the nonlinear uncertain dynamics for a multi-robot system. Specifically, we first present a control scheme called cooperative deterministic learning using adaptive NNs to enable the robotic agents to track their respective reference trajectories on one hand and to exchange their estimated NN weights online through networked communication on the other. As a result, a consensus about one common NN approximation for the nonlinear uncertain dynamics is achieved for all the agents. Thus, the trained distributed NNs have a better generalization capability than those obtained by existing techniques. By virtue of the convergence of partial NN weights to their ideal values under the proposed scheme, the cooperatively learned knowledge can be stored/represented by NNs with constant/converged weights, so that it can be used to improve the tracking control performance without re-adaptation. Numerical simulations of a team of two-degree-of-freedom robot manipulators were conducted to demonstrate the effectiveness of the proposed approach.

关键词： cooperative deterministic learning multi-robot manipulators neural networks adaptive control multi-agent systems

Interaction between inflammatory bowel disease,physical activity,and myokines:Assessment of serum irisin levels

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World Journal of Gastroenterology 2024年第22期30卷 2923-2926页

作者： marwan SM Al-Nimer Department of Therapeutics and Clinical Pharmacology College of MedicineUniversity of DiyalaBaqubah 32001Iraq

Inflammatory bowel disease(IBD),including Crohn’s disease and ulcerative colitis,showed a wide spectrum of intestinal and extra-intestinal manifestations,which rendered the patients physically inactive and impaired their quality of *** has been found that physical activity is a non-pharmacological intervention that improves the quality of life for those *** is one member of the myokines secreted by muscle contraction during exercise and could be used as an antiinflammatory biomarker in assessing the physical activity of IBD *** addition,experimental studies showed that exogenous irisin significantly decreased the inflammatory markers and the histological changes of the intestinal mucosa observed in experimental ***,irisin produces changes in the diversity of the ***,endogenous or exogenous irisin,via its anti-inflammatory effects,will improve the health of IBD patients and will limit the barriers to physical activity in patients with IBD.

关键词： Irisin Inflammatory bowel disease Physical activity Myokines Prognostic marker

A frequency and velocity-dependent impedance method for prediction of rail/foundation dynamics

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Earthquake Engineering and Engineering Vibration 2021年第1期20卷 101-111页

作者： Reda Mezeh marwan Sadek Fadi Hage Chehade Isam Shahrour Laboratory of Civil Engineering and GeoEnvironment University of LilleSciences and TechnologiesPolytech’LilleVilleneuve d’AscqHauts-de-France 59655France Doctoral School of Science and Technology Lebanese UniversityBeirut 0000Lebanon

This paper presents an efficient numerical tool for the prediction of railway dynamic response.A behavior calibration of the infinite Euler-Bernoulli beam resting on continuous viscoelastic foundation is *** laws of the discrete elements are determined for a rectilinear ballasted track.A three-dimensional model coupled with an adaptive meshing scheme is employed to calibrate the beam model impedances by finding the similarity between the output signals using the genetic *** model shows an important performance with significant reduction in computational *** study emphasizes the major impact of the excitation characteristics on the parameters of the discrete models.

关键词： moving loads rail vibrations rail/foundation interaction dynamic impedances genetic algorithm

VGG-CovidNet: Bi-Branched Dilated Convolutional Neural Network for Chest X-Ray-Based COVID-19 Predictions

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Computers, Materials & Continua 2021年第8期68卷 2791-2806页

作者： Muhammed Binsawad marwan Albahar Abdullah Bin Sawad Information Systems King Abdulaziz UniversityJeddahSaudi Arabia Department of Science Umm Al Qura UniversityMeccaSaudi Arabia

The coronavirus disease 2019(COVID-19)pandemic has had a devastating impact on the health and welfare of the global population.A key measure to combat COVID-19 has been the effective screening of infected patients.A vital screening process is the chest *** studies have shown irregularities in the chest radiographs of COVID-19 *** use of the chest X-ray(CXR),a leading diagnostic technique,has been encouraged and driven by several ongoing projects to combat this disease because of its historical effectiveness in providing clinical insights on lung *** study introduces a dilated bi-branched convoluted neural network(CNN)architecture,VGG-COVIDNet,to detect COVID-19 cases from CXR *** front end of the VGG-COVIDNet consists of the first 10 layers of VGG-16,where the convolutional layers in these layers are reduced to two to minimize latency during the training *** last two branches of the proposed architecture consist of dilated convolutional layers to reduce the model’s computational complexity while retaining the feature maps’spatial *** simulation results show that the proposed architecture is superior to all the state-of-the-art architecture in accuracy and *** proposed architecture’s accuracy and sensitivity are 96.5%and 96%,respectively,for each infection type.

关键词： Coronavirus disease 2019 prognosis X-ray images deep learning artificial intelligence