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<meta name="description" content="Search results for: PEMS"> <meta name="keywords" content="PEMS"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="PEMS"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 13</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: PEMS</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13</span> Performance Improvement of The Nano-Composite Based Proton Exchange Membranes (PEMs)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusuf%20Y%C4%B1lmaz">Yusuf Yılmaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Kevser%20Dincer"> Kevser Dincer</a>, <a href="https://publications.waset.org/abstracts/search?q=Derya%20Sayg%C4%B1l%C4%B1"> Derya Saygılı</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, performance of PEMs was experimentally investigated. Coating on the cathode side of the PEMs fuel cells was accomplished with the spray method by using NaCaNiBO. A solution having 0,1 gr NaCaNiBO +10 mL methanol was prepared. This solution was taken out and filled into a spray. Then the cathode side of PEMs fuel cells was cladded with NaCaNiBO by using spray method. After coating, the membrane was left out to dry for 24 hours. The PEM fuel cells were mounted to the system in single, double, triple and fourfold manner in order to spot the best performance. The performance parameter considered was the power to current ratio. The best performance was found to occur at the 300th second with the power/current ratio of 3.55 Watt/Ampere and on the fourfold parallel mounting after the coating; whereas the poorest performance took place at the 210th second, power to current ratio of 0.12 Watt/Ampere and on the twofold parallel connection after the coating. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nano-composites" title="nano-composites">nano-composites</a>, <a href="https://publications.waset.org/abstracts/search?q=proton%20exchange%20membranes" title=" proton exchange membranes"> proton exchange membranes</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20improvement" title=" performance improvement"> performance improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell" title=" fuel cell"> fuel cell</a> </p> <a href="https://publications.waset.org/abstracts/8066/performance-improvement-of-the-nano-composite-based-proton-exchange-membranes-pems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8066.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12</span> Assessment of Exhaust Emissions and Fuel Consumption from Means of Transport in Agriculture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jerzy%20Merkisz">Jerzy Merkisz</a>, <a href="https://publications.waset.org/abstracts/search?q=Piotr%20Lijewski"> Piotr Lijewski</a>, <a href="https://publications.waset.org/abstracts/search?q=Pawel%20Fuc"> Pawel Fuc</a>, <a href="https://publications.waset.org/abstracts/search?q=Maciej%20Siedlecki"> Maciej Siedlecki</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrzej%20Ziolkowski"> Andrzej Ziolkowski</a>, <a href="https://publications.waset.org/abstracts/search?q=Sylwester%20Weymann"> Sylwester Weymann</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper discusses the problem of load transport using farm tractors and road tractor units. This type of carriage of goods is often done with farm vehicles. The tests were performed with the PEMS equipment (Portable Emission Measurement System) under actual traffic conditions. The vehicles carried a load of 20000 kg. This research method is one of the most desired because it provides reliable information on the actual vehicle emissions and fuel consumption (carbon balance method). For the tests, a route was selected that simulated a trip from a small town to a food-processing facility located in a city. The analysis of the obtained results gave a clear answer as to what vehicles need to be used for the carriage of this type of cargo in terms of exhaust emissions and fuel consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emission" title="emission">emission</a>, <a href="https://publications.waset.org/abstracts/search?q=transport" title=" transport"> transport</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20consumption" title=" fuel consumption"> fuel consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMS" title=" PEMS"> PEMS</a> </p> <a href="https://publications.waset.org/abstracts/30883/assessment-of-exhaust-emissions-and-fuel-consumption-from-means-of-transport-in-agriculture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30883.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">529</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11</span> Designing an Exhaust Gas Energy Recovery Module Following Measurements Performed under Real Operating Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jerzy%20Merkisz">Jerzy Merkisz</a>, <a href="https://publications.waset.org/abstracts/search?q=Pawel%20Fuc"> Pawel Fuc</a>, <a href="https://publications.waset.org/abstracts/search?q=Piotr%20Lijewski"> Piotr Lijewski</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrzej%20Ziolkowski"> Andrzej Ziolkowski</a>, <a href="https://publications.waset.org/abstracts/search?q=Pawel%20Czarkowski"> Pawel Czarkowski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents preliminary results of the development of an automotive exhaust gas energy recovery module. The aim of the performed analyses was to select the geometry of the heat exchanger that would ensure the highest possible transfer of heat at minimum heat flow losses. The starting point for the analyses was a straight portion of a pipe, from which the exhaust system of the tested vehicle was made. The design of the heat exchanger had a cylindrical cross-section, was 300 mm long and was fitted with a diffuser and a confusor. The model works were performed for the mentioned geometry utilizing the finite volume method based on the Ansys CFX v12.1 and v14 software. This method consisted in dividing of the system into small control volumes for which the exhaust gas velocity and pressure calculations were performed using the Navier-Stockes equations. The heat exchange in the system was modeled based on the enthalpy balance. The temperature growth resulting from the acting viscosity was not taken into account. The heat transfer on the fluid/solid boundary in the wall layer with the turbulent flow was done based on an arbitrarily adopted dimensionless temperature. The boundary conditions adopted in the analyses included the convective condition of heat transfer on the outer surface of the heat exchanger and the mass flow and temperature of the exhaust gas at the inlet. The mass flow and temperature of the exhaust gas were assumed based on the measurements performed in actual traffic using portable PEMS analyzers. The research object was a passenger vehicle fitted with a 1.9 dm3 85 kW diesel engine. The tests were performed in city traffic conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=waste%20heat%20recovery" title="waste heat recovery">waste heat recovery</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20exchanger" title=" heat exchanger"> heat exchanger</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD%20simulation" title=" CFD simulation"> CFD simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=pems" title=" pems"> pems</a> </p> <a href="https://publications.waset.org/abstracts/31045/designing-an-exhaust-gas-energy-recovery-module-following-measurements-performed-under-real-operating-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31045.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">574</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10</span> Construction and Cross-Linking of Polyelectrolyte Multilayers Based on Polysaccharides as Antifouling Coatings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenfa%20Yu">Wenfa Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Thuva%20Gnanasampanthan"> Thuva Gnanasampanthan</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Finlay"> John Finlay</a>, <a href="https://publications.waset.org/abstracts/search?q=Jessica%20Clarke"> Jessica Clarke</a>, <a href="https://publications.waset.org/abstracts/search?q=Charlotte%20Anderson"> Charlotte Anderson</a>, <a href="https://publications.waset.org/abstracts/search?q=Tony%20Clare"> Tony Clare</a>, <a href="https://publications.waset.org/abstracts/search?q=Axel%20Rosenhahn"> Axel Rosenhahn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Marine biofouling is a worldwide problem at vast economic and ecological costs. Historically it was combated with toxic coatings such as tributyltin. As those coatings being banned nowadays, finding environmental friendly antifouling solution has become an urgent topic. In this study antifouling coatings consisted of natural occurring polysaccharides hyaluronic acid (HA), alginic acid (AA), chitosan (Ch) and polyelectrolyte polyethylenimine (PEI) are constructed into polyelectrolyte multilayers (PEMs) in a Layer-by-Layer (LbL) method. LbL PEM construction is a straightforward way to assemble biomacromolecular coatings on surfaces. Advantages about PEM include ease of handling, highly diverse PEM composition, precise control over the thickness and so on. PEMs have been widely employed in medical application and there are numerous studies regarding their protein adsorption, elasticity and cell adhesive properties. With the adjustment of coating composition, termination layer charge, coating morphology and cross-linking method, it is possible to prepare low marine biofouling coatings with PEMs. In this study, using spin coating technology, PEM construction was achieved at smooth multilayers with roughness as low as 2nm rms and highly reproducible thickness around 50nm. To obtain stability in sea water, the multilayers were covalently cross-linked either thermally or chemically. The cross-linking method affected surface energy, which was reflected in water contact angle, thermal cross-linking led to hydrophobic surfaces and chemical cross-linking generated hydrophilic surfaces. The coatings were then evaluated regarding its protein resistance and biological species resistance. While the hydrophobic thermally cross-linked PEM had low resistance towards proteins, the resistance of chemically cross-linked PEM strongly depended on the PEM termination layer and the charge of the protein, opposite charge caused high adsorption and same charge low adsorption, indicating electrostatic interaction plays a crucial role in the protein adsorption processes. Ulva linza was chosen as the biological species for antifouling performance evaluation. Despite of the poor resistance towards protein adsorption, thermally cross-linked PEM showed good resistance against Ulva spores settlement, the chemically cross-linked multilayers showed poor resistance regardless of the termination layer. Marine species adhesion is a complex process, although it involves proteins as bioadhesives, protein resistance its own is not a fully indicator for its antifouling performance. The species will pre select the surface, responding to cues like surface energy, chemistry, or charge and so on. Thus making it difficult for one single factors to determine its antifouling performance. Preparing PEM coating is a comprehensive work involving choosing polyelectrolyte combination, determining termination layer and the method for cross-linking. These decisions will affect PEM properties such as surface energy, charge, which is crucial, since biofouling is a process responding to surface properties in a highly sensitive and dynamic way. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hyaluronic%20acid" title="hyaluronic acid">hyaluronic acid</a>, <a href="https://publications.waset.org/abstracts/search?q=polyelectrolyte%20multilayers" title=" polyelectrolyte multilayers"> polyelectrolyte multilayers</a>, <a href="https://publications.waset.org/abstracts/search?q=protein%20resistance" title=" protein resistance"> protein resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=Ulva%20linza%20zoospores" title=" Ulva linza zoospores"> Ulva linza zoospores</a> </p> <a href="https://publications.waset.org/abstracts/105303/construction-and-cross-linking-of-polyelectrolyte-multilayers-based-on-polysaccharides-as-antifouling-coatings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105303.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> Innovative Grafting of Polyvinylpyrrolidone onto Polybenzimidazole Proton Exchange Membranes for Enhanced High-Temperature Fuel Cell Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zeyu%20Zhou">Zeyu Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Ziyu%20Zhao"> Ziyu Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaochen%20Yang"> Xiaochen Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ling%20AI"> Ling AI</a>, <a href="https://publications.waset.org/abstracts/search?q=Heng%20Zhai"> Heng Zhai</a>, <a href="https://publications.waset.org/abstracts/search?q=Stuart%20Holmes"> Stuart Holmes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As a promising sustainable alternative to traditional fossil fuels, fuel cell technology is highly favoured due to its enhanced working efficiency and reduced emissions. In the context of high-temperature fuel cells (operating above 100 °C), the most commonly used proton exchange membrane (PEM) is the Polybenzimidazole (PBI) doped phosphoric acid (PA) membrane. Grafting is a promising strategy to advance PA-doped PBI PEM technology. The existing grafting modification on PBI PEMs mainly focuses on grafting phosphate-containing or alkaline groups onto the PBI molecular chains. However, quaternary ammonium-based grafting approaches face a common challenge. To initiate the N-alkylation reaction, deacidifying agents such as NaH, NaOH, KOH, K2CO3, etc., can lead to ionic crosslinking between the quaternary ammonium group and PBI. Polyvinylpyrrolidone (PVP) is another widely used polymer, the N-heterocycle groups within PVP endow it with a significant ability to absorb PA. Recently, PVP has attracted substantial attention in the field of fuel cells due to its reduced environmental impact and impressive fuel cell performance. However, due to the the poor compatibility of PVP in PBI, few research apply PVP in PA-doped PBI PEMs. This work introduces an innovative strategy to graft PVP onto PBI to form a network-like polymer. Due to the absence of quaternary ammonium groups, PVP does not pose issues related to crosslinking with PBI. Moreover, the nitrogen-containing functional groups on PVP provide PBI with a robust phosphoric acid retention ability. The nuclear magnetic resonance (NMR) hydrogen spectrum analysis results indicate the successful completion of the grafting reaction where N-alkylation reactions happen on both sides of the grafting agent 1,4-bis(chloromethyl)benzene. On one side, the reaction takes place with the hydrogen atoms on the imidazole groups of PBI, while on the other side, it reacts with the terminal amino group of PVP. The XPS results provide additional evidence from the perspective of the element. On synthesized PBI-g-PVP surfaces, there is an absence of chlorine (chlorine in grafting agent 1,4-bis(chloromethyl)benzene is substituted) element but a presence of sulfur element (sulfur element in terminal amino PVP appears in PBI), which demonstrates the occurrence of the grafting reaction and PVP is successfully grafted onto PBI. Prepare these modified membranes into MEA. It was found that during the fuel cell operation, all the grafted membranes showed substantial improvement in maximum current density and peak power density compared to unmodified one. For PBI-g-PVP 30, with a grafting degree of 22.4%, the peak power density reaches 1312 mW cm⁻², marking a 59.6% enhancement compared to the pristine PBI membrane. The improvement is caused by the improved PA binding ability of the membrane after grafting. The AST test result shows that the grafting membranes have better long-term durability and performance than unmodified membranes attributed to the presence of added PA binding sites, which can effectively prevent the PA leaching caused by proton migration. In conclusion, the test results indicate that grafting PVP onto PBI is a promising strategy which can effectively improve the fuel cell performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell" title="fuel cell">fuel cell</a>, <a href="https://publications.waset.org/abstracts/search?q=grafting%20modification" title=" grafting modification"> grafting modification</a>, <a href="https://publications.waset.org/abstracts/search?q=PA%20doping%20ability" title=" PA doping ability"> PA doping ability</a>, <a href="https://publications.waset.org/abstracts/search?q=PVP" title=" PVP"> PVP</a> </p> <a href="https://publications.waset.org/abstracts/178960/innovative-grafting-of-polyvinylpyrrolidone-onto-polybenzimidazole-proton-exchange-membranes-for-enhanced-high-temperature-fuel-cell-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8</span> Comparison of Performance of Proton Exchange Membrane Fuel Cell Membrane Electrode Assemblies Prepared from 10 and 15-Micron Proton Exchange Membranes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yingjeng%20James%20Li">Yingjeng James Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Chiao-Chih%20Hu"> Chiao-Chih Hu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Membrane electrode assemblies (MEAs) for proton exchange membrane fuel cell (PEMFC) applications were prepared by using 10 and 15 um PEMs. Except for different membrane thicknesses, these MEAs were prepared by the same conditions. They were prepared by using catalyst coated membrane (CCM) process. The catalyst employed is 40% Pt/C, and the Pt loading is 0.5mg/cm² for the sum of anode and cathode. Active area of the MEAs employed in this study is 5cm*5cm=25cm². In polarization measurements, the flow rates were always set at 1.2 stoic for anode and 3.0 stoic for cathode. The outlets were in open-end mode. The flow filed is tri-serpentine design. The cell temperatures and the humidification conditions were varied for the purpose of MEA performance observations. It was found that the performance of these two types of MEAs is about the same at fully or partially humidified operation conditions; however, 10um MEA exhibits higher current density in dry or low humidified conditions. For example, at 70C cell, 100% RH, and 0.6V condition, both MEAs have similar current density which is 1320 and 1342mA/cm² for 15um and 10um product, respectively. However, when in operation without external humidification, 10um MEA can produce 1085mA/cm²; whereas 15um MEA produces only 720mA/cm². <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell" title="fuel cell">fuel cell</a>, <a href="https://publications.waset.org/abstracts/search?q=membrane%20electrode%20assembly" title=" membrane electrode assembly"> membrane electrode assembly</a>, <a href="https://publications.waset.org/abstracts/search?q=PEFC" title=" PEFC"> PEFC</a>, <a href="https://publications.waset.org/abstracts/search?q=PEMFC" title=" PEMFC"> PEMFC</a>, <a href="https://publications.waset.org/abstracts/search?q=proton%20exchange%20membrane" title=" proton exchange membrane"> proton exchange membrane</a> </p> <a href="https://publications.waset.org/abstracts/86110/comparison-of-performance-of-proton-exchange-membrane-fuel-cell-membrane-electrode-assemblies-prepared-from-10-and-15-micron-proton-exchange-membranes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86110.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">241</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Real-World PM, PN and NOx Emission Differences among DOC+CDPF Retrofit Diesel-, Diesel- And Natural Gas-Fueled Bus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhiwen%20Yang">Zhiwen Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingyuan%20Li"> Jingyuan Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenkai%20Xie"> Zhenkai Xie</a>, <a href="https://publications.waset.org/abstracts/search?q=Jian%20Ling"> Jian Ling</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiguang%20Wang"> Jiguang Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Mengliang%20Li"> Mengliang Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To reflect the effects of different emission control strategies, such as retrofitting after-treatment system and replacing with natural gas-fueled vehicles, on particle number (PN), particle mass (PM) and nitrogen oxides (NOx) emissions emitted by urban bus, a portable emission measurement system (PEMS) was employed herein to conduct real-world driving emission measurements on a diesel oxidation catalytic converter (DOC) and catalyzed diesel particulate filter (CDPF) retrofitting China IV diesel bus, a China IV diesel bus, and a China V natural gas bus. The results show that both tested diesel buses possess markedly advantages in NOx emission control when compared to the lean-burn natural gas bus equipped without any NOx after-treatment system. As to PN and PM, only the DOC+CDPF retrofitting diesel bus exhibits enormous benefits on emission control relate to the natural gas bus, especially the normal diesel bus. Meanwhile, the differences in PM and PN emissions between retrofitted and normal diesel buses generally increase with the increase in vehicle-specific power (VSP). Furthermore, the differences in PM emissions, especially those in the higher VSP ranges, are more significant than those in PN. In addition, the maximum peak PN particle size (32 nm) of the retrofitted diesel bus was significantly lower than that of the normal diesel bus (100 nm). These phenomena indicate that the CDPF retrofitting can effectively reduce diesel bus exhaust particle emissions, especially those with large particle sizes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CDPF" title="CDPF">CDPF</a>, <a href="https://publications.waset.org/abstracts/search?q=diesel" title=" diesel"> diesel</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20gas" title=" natural gas"> natural gas</a>, <a href="https://publications.waset.org/abstracts/search?q=real-world%20emissions" title=" real-world emissions"> real-world emissions</a> </p> <a href="https://publications.waset.org/abstracts/142422/real-world-pm-pn-and-nox-emission-differences-among-doccdpf-retrofit-diesel-diesel-and-natural-gas-fueled-bus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142422.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> The Research on Diesel Bus Emissions in Ulaanbaatar City: Mongolia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tsetsegmaa%20A.">Tsetsegmaa A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayarsuren%20B."> Bayarsuren B.</a>, <a href="https://publications.waset.org/abstracts/search?q=Altantsetseg%20Ts."> Altantsetseg Ts.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To make the best decision on reducing harmful emissions from buses, we need to have a clear understanding of the current state of their actual emissions. The emissions from city buses running on high sulfur fuel, particularly particulate matter (PM) and nitrogen oxides (NOx) from the exhaust gases of conventional diesel engines, have been studied and measured with and without diesel particulate filter (DPF) in Ulaanbaatar city. The study was conducted by using the PEMS (Portable Emissions Measurement System) and gravimetric method in real traffic conditions. The obtained data were used to determine the actual emission rates and to evaluate the effectiveness of the selected particulate filters. Actual road and daily PM emissions from city buses were determined during the warm and cold seasons. A bus with an average daily mileage of 242 km was found to emit 166.155 g of PM into the city's atmosphere on average per day, with 141.3 g in summer and 175.8 g in winter. The actual PM of the city bus is 0.6866 g/km. The concentration of NOx in the exhaust gas averages 1410.94 ppm. The use of DPF reduced the exhaust gas opacity of 24 buses by an average of 97% and filtered a total of 340.4 kg of soot from these buses over a period of six months. Retrofitting an old conventional diesel engine with cassette-type silicon carbide (SiC) DPF, despite the laboriousness of cleaning, can significantly reduce particulate matter emissions. Innovation: First comprehensive road PM and NOx emission dataset and actual road emissions from public buses have been identified. PM and NOx mathematical model equations have been estimated as a function of the bus technical speed and engine revolution with and without DPF. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20diesel" title="conventional diesel">conventional diesel</a>, <a href="https://publications.waset.org/abstracts/search?q=silicon%20carbide" title=" silicon carbide"> silicon carbide</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20onboard%20measurements" title=" real-time onboard measurements"> real-time onboard measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=diesel%20retrofit" title=" diesel retrofit"> diesel retrofit</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20sulphur" title=" fuel sulphur"> fuel sulphur</a> </p> <a href="https://publications.waset.org/abstracts/146106/the-research-on-diesel-bus-emissions-in-ulaanbaatar-city-mongolia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146106.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Synthetic Data-Driven Prediction Using GANs and LSTMs for Smart Traffic Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Peri">Srinivas Peri</a>, <a href="https://publications.waset.org/abstracts/search?q=Siva%20Abhishek%20Sirivella"> Siva Abhishek Sirivella</a>, <a href="https://publications.waset.org/abstracts/search?q=Tejaswini%20Kallakuri"> Tejaswini Kallakuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Uzair%20Ahmad"> Uzair Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Smart cities and intelligent transportation systems rely heavily on effective traffic management and infrastructure planning. This research tackles the data scarcity challenge by generating realistically synthetic traffic data from the PeMS-Bay dataset, enhancing predictive modeling accuracy and reliability. Advanced techniques like TimeGAN and GaussianCopula are utilized to create synthetic data that mimics the statistical and structural characteristics of real-world traffic. The future integration of Spatial-Temporal Generative Adversarial Networks (ST-GAN) is anticipated to capture both spatial and temporal correlations, further improving data quality and realism. Each synthetic data generation model's performance is evaluated against real-world data to identify the most effective models for accurately replicating traffic patterns. Long Short-Term Memory (LSTM) networks are employed to model and predict complex temporal dependencies within traffic patterns. This holistic approach aims to identify areas with low vehicle counts, reveal underlying traffic issues, and guide targeted infrastructure interventions. By combining GAN-based synthetic data generation with LSTM-based traffic modeling, this study facilitates data-driven decision-making that improves urban mobility, safety, and the overall efficiency of city planning initiatives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GAN" title="GAN">GAN</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20short-term%20memory%20%28LSTM%29" title=" long short-term memory (LSTM)"> long short-term memory (LSTM)</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20%20data%20generation" title=" synthetic data generation"> synthetic data generation</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20management" title=" traffic management"> traffic management</a> </p> <a href="https://publications.waset.org/abstracts/192173/synthetic-data-driven-prediction-using-gans-and-lstms-for-smart-traffic-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192173.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">14</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> A Comparative Study: Influences of Polymerization Temperature on Phosphoric Acid Doped Polybenzimidazole Membranes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cagla%20Gul%20Guldiken">Cagla Gul Guldiken</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Akyalcin"> Levent Akyalcin</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Ferdi%20Gercel"> Hasan Ferdi Gercel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fuel cells are electrochemical devices which convert the chemical energy of hydrogen into the electricity. Among the types of fuel cells, polymer electrolyte membrane fuel cells (PEMFCs) are attracting considerable attention as non-polluting power generators with high energy conversion efficiencies in mobile applications. Polymer electrolyte membrane (PEM) is one of the essential components of PEMFCs. Perfluorosulfonic acid based membranes known as Nafion® is widely used as PEMs. Nafion® membranes water dependent proton conductivity which limits the operating temperature below 100ᵒC. At higher temperatures, proton conductivity and mechanical stability of these membranes decrease because of dehydration. Polybenzimidazole (PBI), which has good anhydrous proton conductivity after doped with acids, as well as excellent thermal stability, shows great potential in the application of high temperature PEMFCs. In the present study, PBI polymers were synthesized by solution polycondensation at 190 and 210ᵒC. The synthesized polymers were characterized by FTIR, 1H NMR, and TGA. Phosphoric acid doped PBI membranes were prepared and tested in a PEMFC. The influences of reaction temperature on structural properties of synthesized polymers were investigated. Mechanical properties, acid-doping level, proton conductivity, and fuel cell performances of prepared phosphoric acid doped PBI membranes were evaluated. The maximum power density was found as 32.5 mW/cm² at 120ᵒC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuel%20cell" title="fuel cell">fuel cell</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20temperature%20polymer%20electrolyte%20membrane" title=" high temperature polymer electrolyte membrane"> high temperature polymer electrolyte membrane</a>, <a href="https://publications.waset.org/abstracts/search?q=polybenzimidazole" title=" polybenzimidazole"> polybenzimidazole</a>, <a href="https://publications.waset.org/abstracts/search?q=proton%20exchange%20membrane%20fuel%20cell" title=" proton exchange membrane fuel cell"> proton exchange membrane fuel cell</a> </p> <a href="https://publications.waset.org/abstracts/89193/a-comparative-study-influences-of-polymerization-temperature-on-phosphoric-acid-doped-polybenzimidazole-membranes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89193.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">185</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Formation of Nanochannels by Heavy Ions in Graphene Oxide Reinforced Carboxymethylcellulose Membranes for Proton Exchange Membrane Fuel Cells Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Kurbanova">B. Kurbanova</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Karibayev"> M. Karibayev</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Almas"> N. Almas</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Ospanov"> K. Ospanov</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Aimaganbetov"> K. Aimaganbetov</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kuanyshbekov"> T. Kuanyshbekov</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Akatan"> K. Akatan</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Kabdrakhmanova"> S. Kabdrakhmanova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Proton exchange membranes (PEMs) operating at high temperatures above 100 °C with the excellent mechanical, chemical and thermochemical stability have been received much attention, because of their practical application of proton exchange membrane fuel cells (PEMFCs). Nowadays, a huge number of polymers and polymer-mixed various membranes have been investigated for this application, all of which offer both pros and cons. However, PEMFCs are still lack of ideal membranes with unique properties. In this work, carboxymethylcellulose (CMC) based membranes with dispersive graphene oxide (GO) sheets were fabricated and investigated for PEMFCs application. These membranes and pristine GO were studied by a combination of XRD, XPS, Raman, Brillouin, FTIR, thermo-mechanical analysis (TGA and Dynamic Mechanical Analysis) and SEM microscopy, while substantial studies on the proton transport properties were provided by Electrochemical Impedance Spectroscopy (EIS) measurements. It was revealed that the addition of CMC to the GO boosts proton conductivity of the whole membrane, while GO provides good mechanical and thermomechanical stability to the membrane. Further, the continuous and ordered nanochannels with well-tailored chemical structures were obtained by irradiation of heavy ions Kr⁺¹⁷ with an energy of 1.75 MeV/nucleon on the heavy ion accelerator. The formation of these nanochannels led to the significant increase of proton conductivity at 50% Relative Humidity. Also, FTIR and XPS measurement results show that ion irradiation eliminated the GO’s surface oxygen chemical bonds (C=O, C-O), and led to the formation of C = C, C – C bonds, whereas these changes connected with an increase in conductivity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=proton%20exchange%20membranes" title="proton exchange membranes">proton exchange membranes</a>, <a href="https://publications.waset.org/abstracts/search?q=graphene%20oxide" title=" graphene oxide"> graphene oxide</a>, <a href="https://publications.waset.org/abstracts/search?q=fuel%20cells" title=" fuel cells"> fuel cells</a>, <a href="https://publications.waset.org/abstracts/search?q=carboxymethylcellulose" title=" carboxymethylcellulose"> carboxymethylcellulose</a>, <a href="https://publications.waset.org/abstracts/search?q=ion%20irradiation" title=" ion irradiation"> ion irradiation</a> </p> <a href="https://publications.waset.org/abstracts/162499/formation-of-nanochannels-by-heavy-ions-in-graphene-oxide-reinforced-carboxymethylcellulose-membranes-for-proton-exchange-membrane-fuel-cells-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162499.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Statistically Accurate Synthetic Data Generation for Enhanced Traffic Predictive Modeling Using Generative Adversarial Networks and Long Short-Term Memory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Peri">Srinivas Peri</a>, <a href="https://publications.waset.org/abstracts/search?q=Siva%20Abhishek%20Sirivella"> Siva Abhishek Sirivella</a>, <a href="https://publications.waset.org/abstracts/search?q=Tejaswini%20Kallakuri"> Tejaswini Kallakuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Uzair%20Ahmad"> Uzair Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effective traffic management and infrastructure planning are crucial for the development of smart cities and intelligent transportation systems. This study addresses the challenge of data scarcity by generating realistic synthetic traffic data using the PeMS-Bay dataset, improving the accuracy and reliability of predictive modeling. Advanced synthetic data generation techniques, including TimeGAN, GaussianCopula, and PAR Synthesizer, are employed to produce synthetic data that replicates the statistical and structural characteristics of real-world traffic. Future integration of Spatial-Temporal Generative Adversarial Networks (ST-GAN) is planned to capture both spatial and temporal correlations, further improving data quality and realism. The performance of each synthetic data generation model is evaluated against real-world data to identify the best models for accurately replicating traffic patterns. Long Short-Term Memory (LSTM) networks are utilized to model and predict complex temporal dependencies within traffic patterns. This comprehensive approach aims to pinpoint areas with low vehicle counts, uncover underlying traffic issues, and inform targeted infrastructure interventions. By combining GAN-based synthetic data generation with LSTM-based traffic modeling, this study supports data-driven decision-making that enhances urban mobility, safety, and the overall efficiency of city planning initiatives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GAN" title="GAN">GAN</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20short-term%20memory" title=" long short-term memory"> long short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20data%20generation" title=" synthetic data generation"> synthetic data generation</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20management" title=" traffic management"> traffic management</a> </p> <a href="https://publications.waset.org/abstracts/191235/statistically-accurate-synthetic-data-generation-for-enhanced-traffic-predictive-modeling-using-generative-adversarial-networks-and-long-short-term-memory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191235.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">25</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> A Real-Time Bayesian Decision-Support System for Predicting Suspect Vehicle’s Intended Target Using a Sparse Camera Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Payam%20Mousavi">Payam Mousavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20L.%20Stewart"> Andrew L. Stewart</a>, <a href="https://publications.waset.org/abstracts/search?q=Huiwen%20You"> Huiwen You</a>, <a href="https://publications.waset.org/abstracts/search?q=Aryeh%20F.%20G.%20Fayerman"> Aryeh F. G. Fayerman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We present a decision-support tool to assist an operator in the detection and tracking of a suspect vehicle traveling to an unknown target destination. Multiple data sources, such as traffic cameras, traffic information, weather, etc., are integrated and processed in real-time to infer a suspect’s intended destination chosen from a list of pre-determined high-value targets. Previously, we presented our work in the detection and tracking of vehicles using traffic and airborne cameras. Here, we focus on the fusion and processing of that information to predict a suspect’s behavior. The network of cameras is represented by a directional graph, where the edges correspond to direct road connections between the nodes and the edge weights are proportional to the average time it takes to travel from one node to another. For our experiments, we construct our graph based on the greater Los Angeles subset of the Caltrans’s “Performance Measurement System” (PeMS) dataset. We propose a Bayesian approach where a posterior probability for each target is continuously updated based on detections of the suspect in the live video feeds. Additionally, we introduce the concept of ‘soft interventions’, inspired by the field of Causal Inference. Soft interventions are herein defined as interventions that do not immediately interfere with the suspect’s movements; rather, a soft intervention may induce the suspect into making a new decision, ultimately making their intent more transparent. For example, a soft intervention could be temporarily closing a road a few blocks from the suspect’s current location, which may require the suspect to change their current course. The objective of these interventions is to gain the maximum amount of information about the suspect’s intent in the shortest possible time. Our system currently operates in a human-on-the-loop mode where at each step, a set of recommendations are presented to the operator to aid in decision-making. In principle, the system could operate autonomously, only prompting the operator for critical decisions, allowing the system to significantly scale up to larger areas and multiple suspects. Once the intended target is identified with sufficient confidence, the vehicle is reported to the authorities to take further action. Other recommendations include a selection of road closures, i.e., soft interventions, or to continue monitoring. We evaluate the performance of the proposed system using simulated scenarios where the suspect, starting at random locations, takes a noisy shortest path to their intended target. In all scenarios, the suspect’s intended target is unknown to our system. The decision thresholds are selected to maximize the chances of determining the suspect’s intended target in the minimum amount of time and with the smallest number of interventions. We conclude by discussing the limitations of our current approach to motivate a machine learning approach, based on reinforcement learning in order to relax some of the current limiting assumptions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=autonomous%20surveillance" title="autonomous surveillance">autonomous surveillance</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20reasoning" title=" Bayesian reasoning"> Bayesian reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title=" decision support"> decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=interventions" title=" interventions"> interventions</a>, <a href="https://publications.waset.org/abstracts/search?q=patterns%20of%20life" title=" patterns of life"> patterns of life</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20analytics" title=" predictive analytics"> predictive analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20insights" title=" predictive insights"> predictive insights</a> </p> <a href="https://publications.waset.org/abstracts/136650/a-real-time-bayesian-decision-support-system-for-predicting-suspect-vehicles-intended-target-using-a-sparse-camera-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136650.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">115</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a 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