检索结果-南通市图书馆

Optimization and mechanisms analysis of indigo dye removal using continuous electrocoagulation

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2021年第1期34卷 242-252页

作者： Kamel Hendaoui Malika Trabelsi-ayadi Fadhila Ayari Laboratory of Applications of Chemistry to Natural Resources and Substances and the Environment(LACReSNE) University of CarthageFaculty of Sciences of BizerteZarzouna 7021Tunisia

Electrocoagulation(EC) is among the most effective techniques that remove color and decontaminate *** are delivered in situ by anode *** this research,indigo dye removal using iron electrodes in continuous electrocoagulation process and the responsible species for decolorization were *** Response Surface Methodology(RSM) was used to optimize the process *** finding in this study shows that at fixed conductivity at 15,000 μS·cm^(-1) the neutral conditions(pH from 6 to 8),the low absorbance,the low flow rate and the high voltage level enhance the color removal *** high R~2 value of 97.8% and ANOVA analyses show a good correlation between the experimental and predicted *** the optimum conditions,which are pH of 7.5, solution concentration of 60 mg·L^(-1), inlet flow rate of 2 L·min^(-1) and voltage of 47 V, the predicted decolorization of 94.083% was achieved at 93.972% with a total cost of 0.0927 USD·m^(-3) of treated *** the optimum pH(7.5),the zeta potential value(-4 mV) of the effluent during EC match with the one of iron Ⅲ *** dye removal is ensured thanks to physical adsorption and *** results exposed in this work prove that the continuous electrocoagulation process could be successfully used for indigo dye removal at industrial scale.

关键词： Continuous electrocoagulation Adsorption Parameter estimation Response surface methodology Optimization Zeta potential

Optimization of continuous electrocoagulation-adsorption combined process for the treatment of a textile effluent

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2022年第4期35卷 310-320页

The aims of this study is to design and optimize the functioning of a full continuous combined process based on electrocoagulaion-adsorption on crude Tunisian clay to treat a real textile *** clay characterization shows that the used clay is a rich-smectite *** response surface methodology(RSM)technique based on Box-Behnken design(BBD)was used to optimize the *** optimum conditions which are initial pH solution of 8.24,effluent flow rate of 0.5 L·min^(-1),voltage of 70 V,and added suspension of clay flow rate of 100 ml·min^(-1) the achieved color,chemical oxygen demand(COD)and total suspended solid(TSS)removal efficiencies were respectively 96.87%,89.77%and 84.46%with0.75 USD·m^(-3) as total *** additional laboratory experiments at optimum conditions agree with the predicted results,which confirm the accuracy and the capability of RSM to predict results in the defined *** the designed process could be a good eco-friendly alternative to treat and reuse wastewater in industrial process with reasonable cost.

关键词： Combined process Textile effluent Electrocoagulation Adsorption Decontamination efficiencies Response surface methodology

Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第2期70卷 2777-2795页

作者： Hanan Abdullah Mengash Manel Farouk ayadi Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Feelings influence human beings’decision-making;therefore,incorporation of feeling factors in decision-making is very *** and rejoice are very important emotional feelings that can have a great impact on decision-making if they are considered *** regret has received most of the attention in related research,rejoice has been less considered even though it can greatly influence people’s preferences in ***,systematically incorporating regret and rejoice in the multicriteria decision-making(MCDM)modeling frameworks for decision-making has received little research *** this paper,we introduce a new multiattribute selection procedure that incorporates both regret and rejoice to select the best *** utilize the positional advantage operator concept to develop regret and rejoice mathematical equations,and prove *** proposed MCDM procedure that incorporates these two emotional factors offers a decision-maker the flexibility to trade off some benefits in order to gain a state of psychological *** specifically,regret and rejoice are presentedmathematically to enable the decision-maker to determine the values of regret and rejoice,and then make the decision in which the rejoice value is higher than the regret *** test the performance of this new procedure,we apply it to three numerical examples proposed in previous *** results are matched with those obtained by other methods such as the regret model,VIKOR,PROMETHEE I,and PROMETHEE II,thereby proving the efficacy of the new procedure.

关键词： Multi-criteria decision-making positional advantage operator regret rejoice

A Partitioning Methodology That Optimizes the Communication Cost for Reconfigurable Computing Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2012年第3期9卷 280-287页

作者： Ramzi ayadi Bouraoui Ouni Abdellatif Mtibaa Laboratory of Electronics and Microelectronics Faculty of Science of Monastir University of Monastir Department of Electrical Engineering National Engineering School of Monastir University of Monastir

This paper focuses on the design process for reconfigurable architecture. Our contribution focuses on introducing a new temporal partitioning algorithm. Our algorithm is based on typical mathematic flow to solve the temporal partitioning problem. This algorithm optimizes the transfer of data required between design partitions and the reconfiguration overhead. Results show that our algorithm considerably decreases the communication cost and the latency compared with other well known algorithms.

关键词： Temporal partitioning data flow graph communication cost reconfigurable computing systems field-programmable gate array (FPGA)

Milk losses due to bovine tropical theileriosis(Theileria annulata infection) in Algeria

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2016年第9期6卷 801-802页

作者： Ouarda ayadi Mohamed Gharbi Mohamed Cherif Benchikh Elfegoun Laboratory of Parasitology Institute of Veterinary Science El KhroubUniversity of Mentouri Brothers Laboratory of Parasitology National School of Veterinary MedicineInstitution of Agricultural Research and Higher EducationUniv.

The authors studied the impact of tropical theileriosis onset on milk yield decrease in 10 local bred cows in Skikda(Northern Algeria) during 2015 summer *** milk yield decrease estimated weekly during two months was 2.76 L/day/cow corresponding to31.92% of the total milk *** decrease corresponds to 110.5 Algerian Dinars(1.02US$)/day/diseased *** relative variation of milk yield showed a dramatic decrease from 82.72% to 0.76% at Day 21 then became *** studies are needed to improve these estimations of financial losses due to bovine tropical theileriosis in Algeria.

关键词： Theileria annulata Milk Cattle Local breed

Metals and metalloid bioconcentrations in the tissues of Typha latifolia grown in the four interconnected ponds of a domestic landfill site

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2017年第4期29卷 56-68页

作者： Zohra Ben Salem Xavier Laffray Ahmed Al-Ashoor Habib ayadi Lotfi Aleya Bourgogne Franche-Comte University Chrono-Environnement Laboratory UMR CNRS 6249 F-25030 Besancon Cedex France Paris Est-Creteil University IPE team iEES Paris UMR 7618 F-94010 Creteil Cedex Prance Thi Qar University IQ-64001 AI Nasiriyah Iraq Sfax University LR/UR/05ES05 Biodiversity and Aquatic Ecosystem BP 1171 CP 3000 Sfax Tunisia

The uptake of metals in roots and their transfer to rhizomes and above-ground plant parts（stems, leaves） of cattails（Typha latifolia L.） were studied in leachates from a domestic landfill site（Etueffont, France） and treated in a natural lagooning system. Plant parts and corresponding water and sediment samples were taken at the inflow and outflow points of the four ponds at the beginning and at the end of the growing season. Concentrations of As, Cd, Cr, Cu, Fe, Mn, Ni and Zn in the different compartments were estimated and their removal efficiency assessed, reaching more than 90% for Fe, Mn and Ni in spring and fall as well in the water compartment. The above-and below-ground cattail biomass varied from 0.21 to 0.85, and 0.34 to 1.24 kg dry weight/m^2, respectively, the highest values being recorded in the fourth pond in spring 2011. The root system was the first site of accumulation before the rhizome, stem and leaves. The highest metal concentration was observed in roots from cattails growing at the inflow of the system＇s first pond. The trend in the average trace element concentrations in the cattail plant organs can generally be expressed as： Fe 〉 Mn 〉 As 〉 Zn 〉 Cr 〉 Cu 〉 Ni 〉 Cd for both spring and fall. While T. latifolia removes trace elements efficiently from landfill leachates, attention should also be paid to the negative effects of these elements on plant growth.

关键词： Landfill leachate Lagooning Trace elements Typha latifolia Phytoremediation

Weak and strong stabilization of linear systems

在线全文

学校读者我要写书评

暂无评论

控制理论与应用（英文版） 2009年第4期7卷 359-366页

作者： Mohamed OUZAHRA Hamid BOURRAY Asmae KAMAL Rachid El ayadi Departement of Mathematics and Informatics Ecole Normale Supérieure University Sidi Mohamed Ben Abdellah Fès Morocco I2R Team AFACSI Laboratory Faculty of Sciences Departement of Mathematics and Computer Sciences Moulay Ismail University Meknes Morocco

We study the problem of stabilizing a distributed linear system on a subregion of its geometrical domain. We are concerned with two methods： the first approach enables us to characterize a stabilizing control via the steady state Riccati equation, and the second one is based on decomposing the state space into two suitable subspaces and studying the projections of the initial system onto such subspaces. The obtained results are performed through various examples.

关键词： Linear systems Regional stabilization Riccati equation Decomposed method

An Improved Deep Learning Framework for Automated Optic Disc Localization and Glaucoma Detection

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第8期140卷 1429-1457页

作者： Hela Elmannai Monia Hamdi Souham Meshoul Amel Ali Alhussan Manel ayadi Amel Ksibi Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information System College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Glaucoma disease causes irreversible damage to the optical nerve and it has the potential to cause permanent loss of *** ranks as the second most prevalent cause of permanent *** glaucoma diagnosis requires a highly experienced specialist,costly equipment,and a lengthy wait *** automatic glaucoma detection,state-of-the-art glaucoma detection methods include a segmentation-based method to calculate the cup-to-disc *** methods include multi-label segmentation networks and learning-based methods and rely on hand-crafted *** the optic disc(OD)is one of the key features in retinal images for detecting retinal diseases,especially for glaucoma disease *** approach presented in this study is based on deep classifiers for OD segmentation and glaucoma ***,the optic disc detection process is based on object detection using a Mask Region-Based Convolutional Neural Network(Mask-RCNN).The OD detection task was validated using the Dice score,intersection over union,and accuracy *** OD region is then fed into the second stage for glaucoma ***,considering only the OD area for glaucoma detection will reduce the number of classification artifacts by limiting the assessment to the optic disc *** this task,VGG-16(Visual Geometry Group),Resnet-18(Residual Network),and Inception-v3 were pre-trained and *** also used the Support Vector Machine *** feature-based method uses region content features obtained by Histogram of Oriented Gradients(HOG)and Gabor *** final decision is based on weighted fusion.A comparison of the obtained results from all classification approaches is *** metrics including accuracy and ROC curve are compared for each classification *** novelty of this research project is the integration of automatic OD detection and glaucoma diagnosis in a global ***,the fusion-based decision system uses the g

关键词： Optic disc glaucoma fundus image deep learning

Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and AI 2024年第3期17卷 419-431页

作者： Slimane Arbaoui Ahmed Samet Ali ayadi Tedjani Mesbahi Romuald Boné SDC team ICube laboratoryINSA StrasbourgUniversity of Strasbourg24 Bd de la VictoireStrasbourg67000France SMH team ICube laboratoryINSA StrasbourgUniversity of Strasbourg24 Bd de la VictoireStrasbourg67000France

This study addresses the crucial challenge of monitoring the State of Health(SOH)of Lithium-Ion Batteries(LIBs)in response to the escalating demand for renewable energy systems and the imperative to reduce CO2 *** research introduces deep learning(DL)models,namely Encoder-Long Short-Term Memory(E-LSTM)and Convolutional Neural Network-LSTM(CNN–LSTM),each designed to forecast battery SOH.E-LSTM integrates an encoder for dimensionality reduction and an LSTM model to capture data ***–LSTM,on the other hand,employs CNN layers for encoding followed by LSTM layers for precise SOH ***,we prioritize model explainability by employing a game-theoretic approach known as SHapley Additive exPlanations(SHAP)to elucidate the output of our ***,a method based on pattern mining was developed,synergizing with the model,to identify patterns contributing to abnormal SOH *** insights are presented through informative *** proposed approach relies on the battery dataset from the Massachusetts Institute of Technology(MIT)and showcases promising results in accurately estimating SOH values,in which the E-LSTM model outperformed the CNN–LSTM model with a Mean Absolute Error(MAE)of less than 1%.

关键词： Lithium-ion batteries State of health LSTM CNN Auto-encoders .Pattern mining Explainable artificial intelligence