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Innovative research in Applied science, engineering and Technology (IRASET),Conference on

作者： Achraf El Allaoui Loubna El Ansari Atae Semmar Wafaa Dachry Hassan Gziri Hicham Medromi Engineering and Innovation of Advanced Systems Faculty of of Science and Technology SETTAT FRDISI Morocco Research Foundation Development and Innovation in Science and Engineering FRDISI Morocco Engineering and Innovation of Advanced Systems Faculty of of Science and Technology FRDISI Morocco The International Academy of Scientific Francophone (IASF) RABAT FRDISI Morocco

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

This study presents a detailed simulation-based investigation of the mixing process between high-salinity brine from desalination plants and effluent from wastewater treatment facilities. The objective is to explore optimal conditions that promote the diffusion of brine into the wastewater stream, thereby reducing the overall salinity and mitigating the environmental impact of brine discharge. A two-dimensional CFD simulation was carried out to evaluate the effect of different configurations on the dilution efficiency. The results demonstrated a significant improvement in salinity reduction, effectively bringing the outlet concentration below the environmental threshold considered safe for marine ecosystems. Brine discharges from desalination plants can reach salinity levels as high as 60 000 PPM, which poses a serious threat to marine ecosystems and disrupts environmental balance. The system proposed in this study achieved a dilution efficiency of approximately 60%, confirming its potential in mitigating such impacts. These findings provide valuable guidance for the development of sustainable and environmentally friendly discharge systems in desalination operations.

关键词： Salinity (geophysical) Desalination Focusing Effluents Marine ecosystems Discharges (electric) Real-time systems Wastewater Wastewater treatment Optimization

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A comparative evaluation of dark fermentative bioreactor configurations for enhanced hydrogen production

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Environmental science and Pollution research 2025年第5期32卷 2182-2209页

作者： Goren, Aysegul Yagmur Dincer, Ibrahim Khalvati, Ali Faculty of Engineering and Applied Science Ontario Tech University OshawaONL1G 0C5 Canada Faculty of Engineering Department of Environmental Engineering Izmir Institute of Technology Urla Turkey Viona Consulting Inc Agro-Environmental Innovation and Technology Research and Development Company ThornhillONL3T 0C6 Canada

Energy from renewable resources has been growing in popularity, which ultimately helps reduce emissions of greenhouse gases (GHGs) and contaminants. Since hydrogen (H2) has a higher combustion production of energy than hydrocarbon fuels, it has been identified as a clean, sustainable, and environmentally friendly energy source. There are several benefits to producing biohydrogen (bioH2) from renewable sources, including lower cost and increased sustainability. Among the bioH2 production processes, dark fermentation supports commercialization and scale-up for industrial applications. This paper considers the various bioreactors, such as anaerobic sequencing batch, continuous stirred, up-flow, fixed-bed, and membrane reactors, and their operational approaches for bioH2 production. This review paper also performs the bibliometric analysis method to identify historical and current developments in a particular field of reactor configuration studies. Furthermore, the main variables influencing reactor performance and methods for increasing process efficiency considering economic and environmental aspects are addressed. The results revealed that continuously stirred reactors are widely utilized for bioH2 production as a cost-effective reactor configuration. Moreover, the membrane bioreactors and fixed-bed reactors are yielded higher bioH2 performance than other configurations. Nevertheless, high energy consumption and costs have presented the need for further development of reactors. Consequently, future recommendations to solve the critical problems faced in reactor configurations, the gaps in the literature, and the points that need improvement were comprehensively reported. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Reactor refueling

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Enhanced engineering and biocidal polypropylene filaments enabling melt reduction of AgNO_(3) through PVP agent:A scalable process for the defense industry with MEX additive manufacturing

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Defence Technology(防务技术) 2025年第2期44卷 52-66页

作者： Markos Petousis Nikolaos Michailidis Vassilis Papadakis Apostolos Argyros Mariza Spiridaki Nikolaos Mountakis John Valsamos Nektarios K.Nasikas Amalia Moutsopoulou Nectarios Vidakis Department of Mechanical Engineering Hellenic Mediterranean UniversityHeraklion 71410Greece Physical Metallurgy Laboratory Mechanical Engineering DepartmentSchool of EngineeringAristotle University of ThessalonikiThessaloniki 54124Greece Centre for Research&Development of Advanced Materials(CERDAM) Centre for Interdisciplinary Research and InnovationBalkan CentreBuilding B’10th Km Thessaloniki-Thermi RoadThessaloniki 57001Greece Institute of Electronic Structure and Laser of the Foundation for Research and Technology-Hellas(IESL-FORTH)e Hellas N.Plastira 100mHeraklion 70013Greece Department of Industrial Design and Production Engineering University of West AtticaAthens 12243Greece Division of Mathematics and Engineering Sciences Department of Military SciencesHellenic Army AcademyGR 16673VariAtticaGreece

This study focused on the production of polypropylene(PP)/silver(Ag)composites via additive *** study aimed to enhance the quality of medical-grade PP in material extrusion(MEX)three-dimensional printing(3DP)by improving its mechanical properties while simultaneously adding antibacterial *** latter can find extremely important and versatile properties that are applicable in defense and security ***/Ag nanocomposites were prepared using a novel method based on a reaction occurring while mixing appropriate quantities of the starting polymers and additives,namely polyvinylpyrrolidone(PVP)as the matrix material and silver nitrate(AgNO_(3))as the *** process produced three-dimensional(3D)printed filaments,which were then used to create specimens for a series of standardized *** was found that the mechanical properties of the nanocomposites were enhanced in relation to pristine PP,especially for the PP matrix with various loadings of AgNO_(3)and PVP,such as 5.0 wt%and 2.5 wt%,*** voids,inclusions,and actual-to-nominal dimensions also showed improved *** 3DP specimens exhibited a more effective biocidal performance against Staphylococcus aureus than Escherichia coli,which developed an inhibition zone only in the case of PP with filler loading percentages of AgNO_(3)and PVP at 10.0 wt%and 5.0 wt%,respectively Compounds possessing such properties can be beneficial for various applications requiring increased mechanical properties and biocidal capabilities,such as in the Defence or medical industries.

关键词： Polypropylene(PP) Polyvinyl pyrrolidone(PVP) Silver nitride(AgNO_(3)) In-situ reactive melt mixing process Material extrusion(MEX)3D printing Biocidal performance

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Recommender System Based on Network Structure Link Analysis Technique Through Community Detection in Social Network to Handle the Cold-Start Problem 1

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2nd International Conference on Information Technology, InCITe 2022

作者： Pasricha, Honey Solanki, Shano Kumar, Sumit Department of Computer Science and Engineering National Institute of Technical Teachers Training and Research Chandigarh Chandigarh India Department of Research and Innovation Division of Research and Development Lovely Professional University Punjab Phagwara India

ISBN: (数字)9789811973468

ISBN: (纸本)9789811973451

The recommendation system plays a pivotal role in electronic commerce sites to trade their products and services to consumers. The system further helps in identifying the items for the user and might be worthful for creating buying options that are purely rely on recommender. Especially, in the case of a book recommender system, it is necessary to recommend the books to learn in conformity with the learning environment of the learner. The prime objective is to propose an efficient book recommender system for social networking communities. Moreover, the paper addresses all the important parameters required to compute the efficiency of the system. The authors also outlined existing approaches utilize in book recommendation system along with major findings. The author took one of the fundamental challenges of cold-start problem and proposed a new book recommender system’s framework using the "link analysis technique" of network structure. The proposed structure utilizes a hybrid technique for a book recommender system. Besides, the paper has tremendous potential to appraise the reader to explore a new book recommender system which further suggests the books to a novice on the social network as well as in-network communities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Recommender systems

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A Multilayered Magnetoelectric Transmitter with Suppressed Nonlinearity for Portable VLF Communication

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research 2024年第2期2023卷 553-563页

作者： Zhaoqiang Chu Zhineng Mao Kaixin Song Shizhan Jiang Shugang Min Wei Dan Chenyuan Yu Meiyu Wu Yinghui Ren Zhichao Lu Jie Jiao Tianxiang Nan Shuxiang Dong Qingdao Innovation and Development Base Harbin Engineering UniversityQingdao 266071China College of Underwater Acoustics Engineering Harbin Engineering UniversityHarbin 150001China Songshan Lake Materials Laboratory DongguanGuangdong 523808 China Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai 201800China School of Integrated Circuits and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijing 100084China College of Engineering Peking UniversityBeijing 100871China

Acoustically actuated magnetoelectric(ME)antenna based on the efficient oscillation of magnetic dipoles has recently been considered as a promising solution for portable very-low-frequency ***,the severe nonlinear dynamic behavior in the case of strong-field excitation results in insufficient radiation capability and poor communication performance for a conventional ME *** this work,we propose to suppress the nonlinearity of an ME antenna by neutralizing the spring-hardening effect in amorphous Metglas and the spring-softening effect in piezoelectric ceramics through an ME multilayered transmitter(ME-MLTx)*** a driving voltage of 50 V_(pp)at the resonance frequency of 21.2 kHz,a magnetic flux density as high as 108 fT at a distance of 100 m is produced from a single *** addition,ME-MLTx performs a decreased mechanical quality factor(Q_(m))less than 40.65,and,thus,a broadened bandwidth of 500 Hz is ***,a communication link transmitting binary American Standard Code for Information Interchange-coded message is built,which allows for an error-free communication with a distance of 18 m and a data rate of 300 bit/s in the presence of heavy environment *** communication distance can be further estimated over 100 m when using a femtotesla-class-inductive magnetic field *** obtained results are believed to bring ME antennas one step closer to being applicable in very-low-frequency communications.

关键词： closer nonlinearity inductive

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An in-situ biochar-enhanced anaerobic membrane bioreactor for swine wastewater treatment under various organic loading rates

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Journal of Environmental sciences 2024年第12期146卷 304-317页

作者： Nianwen Chen Xinbo Zhang Qing Du Huizhong Wang Zhiwen Wang Junzhi Ren Hongxia Li Wenshan Guo Huu Hao Ngo Joint Research Centre for Protective Infrastructure Technology and Environmental Green Bioprocess School of Environmental and Municipal EngineeringTianjin Chengjian UniversityTianjin 300384China Tianjin Key Laboratory of Aquatic Science and Technology Tianjin Chengjian UniversityTianjin 300384China Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) SynBio Research PlatformCollaborative Innovation Center of Chemical Science and Engineering(Tianjin)Department of Biochemical EngineeringSchool of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Tianjin Caring Technology Development Co. Ltd.Tianjin 300381China Centre for Technology in Water and Wastewater School of Civil and Environmental EngineeringUniversity of Technology SydneySydneyNSW 2007Australia

A biochar-assisted anaerobic membrane bioreactor(BC-AnMBR)was conducted to evaluate the performance in treating swine wastewater with different organic loading rates(OLR)ranging from 0.38 to 1.13 kg-COD/(m3.d).Results indicated that adding spent coffee grounds biochar(SCG-BC)improved the organic removal efficiency compared to the conventional AnMBR,with an overall COD removal rate of>95.01%.Meanwhile,methane production of up to 0.22 LCH4/gCOD with an improvement of 45.45%was achieved under a high OLR of 1.13 kg-COD/(m3.d).Furthermore,the transmembrane pressure(TMP)in the BC-AnMBR system was stable at 4.5 kPa,and no irreversible membrane fouling occurred within 125 *** community analysis revealed that the addition of SCG-BC increased the relative abundance of autotrophic methanogenic archaea,particularly Methanosarcina(from 0.11%to 11.16%)and Methanothrix(from 16.34%to 24.05%).More importantly,Desulfobacterota and Firmicutes phylum with direct interspecific electron transfer(DIET)capabilities were also enriched with autotrophic *** of the electron transfer pathway showed that the concentration of c-type cytochromes increased by 38.60%in the presence of SCGBC,and thus facilitated the establishment of DIET and maintained high activity of the elec-tron transfer system even at high *** short,the BC-AnMBR system performs well under various OLR conditions and is stable in the recovery energy system for swine wastewater.

关键词： Biochar Microbial community Anaerobic membrane bioreactor Organic loading rates Methane production

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Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance

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Computers, Materials & Continua 2023年第1期74卷 1523-1540页

作者： Sandeep Kumar MohdAnul Haq Arpit Jain C.Andy Jason Nageswara Rao Moparthi Nitin Mittal Zamil S.Alzamil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAP522502India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Computer Science and Engineering Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Department of Electronics and Communication Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413PunjabIndia

Day by day,biometric-based systems play a vital role in our daily *** paper proposed an intelligent assistant intended to identify emotions via voice message.A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert *** proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes(LED)alert signals and it also keep track of the places like households,hospitals and remote areas,*** proposed approach is able to detect seven emotions:worry,surprise,neutral,sadness,happiness,hate and *** key elements for the implementation of speech emotion recognition are voice processing,and once the emotion is recognized,the machine interface automatically detects the actions by buzzer and *** proposed system is trained and tested on various benchmark datasets,i.e.,Ryerson Audio-Visual Database of Emotional Speech and Song(RAVDESS)database,Acoustic-Phonetic Continuous Speech Corpus(TIMIT)database,Emotional Speech database(Emo-DB)database and evaluated based on various parameters,i.e.,accuracy,error rate,and *** comparing with existing technologies,the proposed algorithm gave a better error rate and less *** rate and time is decreased by 19.79%,5.13 *** the RAVDEES dataset,15.77%,0.01 s for the Emo-DB dataset and 14.88%,3.62 for the TIMIT *** proposed model shows better accuracy of 81.02%for the RAVDEES dataset,84.23%for the TIMIT dataset and 85.12%for the Emo-DB dataset compared to Gaussian Mixture Modeling(GMM)and Support Vector Machine(SVM)Model.

关键词： Speech emotion recognition classifier implementation feature extraction and selection smart assistance

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NiMo-MMO catalyst derived from LDHs precursors toward the deep hydrogenation of pyrene

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Chinese Journal of Chemical engineering 2024年第12期76卷 201-210页

作者： Yongliang Jia Boyang Bai Jing Wang Yueyi Wang Zheng Wang Xiaoxun Ma School of Chemical Engineering Northwest UniversityXi'an 710069China International Scientific and Technological Cooperation Base of the Ministry of Science and Technology(MOST)for Clean Utilization of Hydrocarbon Resources Xi'an 710069China Chemical Engineering Research Center of the Ministry of Education(MOE)for Advanced Use Technology of Shanbei Energy Xi'an 710069China Shaanxi Research Center of Engineering Technology for Clean Coal Conversion Xi'an 710069China Collaborative Innovation Center for Development of Energy and Chemical Industry in Northern Shaanxi Xi'an 710069China College of Chemistry and Materials Science Weinan Normal UniversityWeinan 714000China

A series of Ni-based catalysts were prepared via structural topological transformation from the Ni@Al_(2)O_(3)layered double hydroxides(LDHs)precursors,and applied for the deep catalytic hydrogenation saturation of pyrene in a high-pressure *** pore structures,active species dispersion,surface morphology,amount and type of acid of the prepared catalysts were characterized by BET,XRD,SEM,TEM,XPS,SEM,NH_(3)-TPD and *** studied the influence of physicochemical properties of Ni-based catalysts on the regularity and mechanism of deep hydrogenation of ***,the synergy between Ni and Mo,and the interaction between active metals and support were discussed to further reveal the constitutive relationship during the hydrogenation reaction of *** results of the evaluation of the catalytic hydrogenation of pyrene show that the as-prepared NiMo mixed metal oxide(MMO)catalyst showed excellent catalytic activity:~95%pyrene conversion,90.12%for the selectivity of deep hydrogenation products(hexahydropyrene,decahydropyrene and hexadecahydropyrene).It was expected that the successfully preparation and utilization of NiMo-MMO catalyst could provide a theoretical basis for the design of this kind of catalysts for deep catalytic hydrogenation of polycyclic aromatic hydrocarbons(PAHs).

关键词： Ni@Al_(2)O_(3)LDHs Structural topological transformation method NiMo-MMO catalyst Pyrene deep hydrogenation

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A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

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Quality and Quantity 2022年第5期56卷 3215-3258页

作者： El Ouadi, Jihane Errousso, Hanae Malhene, Nicolas Benhadou, Siham Medromi, Hicham National and High School of Electricity and Mechanic HASSAN II University Casablanca 8118 Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca 8118 Morocco EIGSI La Rochelle 17041-20410 France

The location problem of Bundling Hubs (BHs) remains a contentious issue for efficient shared transportation systems. In this respect, the strategic configuration of BHs plays a crucial role in saving supply costs, covering demand, and minimizing the external effects of Shared Passenger and Freight Public Transportation (SPFPT). As urban areas become crowded, they show a significant increase in congestion and transport demand. Thus, sites where logistic operations, sales, or services are likely to occur, imply the final customers whose transport demand is a key factor that could affect cargo distribution using SPFPT systems. Since each BH should help efficiently to satisfy the transport demand of allocated customers, they would not play their key role if such factor of demand is not involved upstream in the long-term scheduling horizon. This paper focuses on locating BHs, using a Hybrid Robust Machine Learning-Heuristic Algorithm (HR-MLHA), among established ones and existing demand nodes while assessing a dynamic process so that the configured BH network is robust. The feature of robustness is supported by a robust command to keep BHs attractive and demand-responsive for the long-term in dynamic environments, i.e., the cities. To reduce complexity, the conceptual and computational approaches are structured in two main axes. The first axis includes a machine-learning-based zoning approach that helps with targeting the implementation area and assessing demand behavior. The second axis presents a mathematical model of the capacitated two-echelon BH location problem. When looking across the two-echelon location process, we aim at conducting dynamic location analysis using both current and predicted demand. In order to validate our approach, a set of benchmarks has been performed comparing with existing heuristics and using a whole package of experimental and real-life instances. The experimental results provided through the proposed approach have allowed valuable insigh

关键词： Bundling hubs Cities logistics City zoning Demand prediction Hybrid Robust Machine Learning-Heuristic Algorithm (HR-MLHA) Strategic location

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Optical responses of metallic plasmonic arrays under the localized excitation

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Nano research 2024年第3期17卷 1571-1577页

作者： Sen Yan Hao Ma Yi-Fan Bao Maofeng Cao Chuan Liu Kaifeng Zhang Xiaowei Wu Jianbo He Xiang Wang Bin Ren State Key Laboratory of Physical Chemistry of Solid Surfaces Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China Research&Development Group HitachiLtd.Yokohama 244-0817KanagawaJapan Department of Electronic Science and Engineering Kyoto UniversityKyoto 615-8510Japan

The metallic plasmonic array that can support both propagating surface plasmon polaritons(PSPPs)and localized surface plasmon resonance(LSPR)possesses rich optical properties and remarkable optical performance,making it a powerful platform for applications in photonics,chemistry,and *** practical applications,the excitation spot is usually smaller than the area of metal *** is thus imperative to address“how many array units are enough?”towards a rational design of plasmonic ***,we employed focused ion beam(FIB)to precisely fabricate a series of plasmonic array structures with increased unit *** utilizing photoluminescence(PL)and surface-enhanced Raman spectroscopy(SERS),we found that the array units outside the excitation spot still have a significant impact on the optical response within the *** with the numerical simulation,we found that the boundary of the finite array leads to the loss of PSPP outside the excitation point,which subsequently affects the coupling of PSPP and LSPR in the excitation spot,leading to variations in PL and SERS *** on the findings,we further tuned the LSPR mode of the metal arrays by electrodeposition to obtain strong near-field enhancement without any influence on the PSPP *** work advances the understanding of near-field and far-field optical behavior in finite-size array structures and provides guidance for designing highly-efficient photonic devices.

关键词： plasmonic periodic array finite-size effects dark field scattering surface-enhanced Raman spectroscopy(SERS)

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