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Journal articles on the topic 'Conversion rate optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Briška, Mareks, and Sandra Ežmale. "E - COMMERCE CONVERSION MANAGEMENT AND OPTIMIZATION PRINCIPLES." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 25 (April 23, 2021): 32–38. http://dx.doi.org/10.17770/het2021.25.6776.

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The conversion rate optimisation (CRO) essentially contains huge configuration capabilities, but it cannot be called a sophisticated marketing technique. Increased income, attracting new customers and reconnecting existing customers: these are just some of the benefits of an improved, efficient and constantly moving e-commerce site, so it is important to understand the conversion technique correctly before starting business on the Internet or performing optimization procedures. The objective of the research is to analyze the principles of e- commerce conversation management and optimisation. T

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Aditi M Jain. "The Role of Predictive Analytics in E-Commerce Conversion Rate Optimization." Journal of Computer Science and Technology Studies 5, no. 4 (2023): 240–47. https://doi.org/10.32996/jcsts.2023.5.4.25.

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This paper explores the critical role of predictive an- alytics in optimizing conversion rates for e-commerce businesses. It examines various strategies, technologies, and methodologies used in predictive analytics, their implementation in e-commerce settings, and their impact on key performance indicators such as conversion rates, customer retention, and overall revenue.

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Qiu, Xin, and Risto Miikkulainen. "Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9581–88. http://dx.doi.org/10.1609/aaai.v33i01.33019581.

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Conversion rate optimization means designing web interfaces such that more visitors perform a desired action (such as register or purchase) on the site. One promising approach, implemented in Sentient Ascend, is to optimize the design using evolutionary algorithms, evaluating each candidate design online with actual visitors. Because such evaluations are costly and noisy, several challenges emerge: How can available visitor traffic be used most efficiently? How can good solutions be identified most reliably? How can a high conversion rate be maintained during optimization? This paper proposes

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Speicher, Maximilian. "Growth Marketing Considered Harmful." i-com 20, no. 1 (2021): 115–19. http://dx.doi.org/10.1515/icom-2020-0016.

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Abstract In today’s e-commerce industry, conversion rate optimization is often considered essentially the same as user experience optimization. In addition, there is a strong focus on quantitative experimentation, which some deem a jack-of-all-trades solution, often at the expense of qualitative user experience research. Both are worrying developments. This essay elaborates on why it is harmful to consider conversion rate optimization and user experience optimization to be the same thing in the context of growth marketing, and how the three concepts are interrelated.

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Miikulainen, Risto, Myles Brundage, Jonathan Epstein, et al. "Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization." AI Magazine 41, no. 1 (2020): 44–60. http://dx.doi.org/10.1609/aimag.v41i1.5256.

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Conversion rate optimization (CRO) means designing an e-commerce web interface so that as many users as possible take a desired action such as registering for an account, requesting a contact, or making a purchase. Such design is usually done by hand, evaluating one change at a time through A/B testing, evaluating all combinations of two or three variables through multivariate testing, or evaluating multiple variables independently. Traditional CRO is thus limited to a small fraction of the design space only, and often misses important interactions between the design variables. This article de

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Heinrich, Adrienne, Chris Bartels, René J. van der Vleuten, Claus Nico Cordes, and Gerard de Haan. "Optimization of Hierarchical 3DRS Motion Estimators for Picture Rate Conversion." IEEE Journal of Selected Topics in Signal Processing 5, no. 2 (2011): 262–74. http://dx.doi.org/10.1109/jstsp.2010.2063014.

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Nawir, Fadliyani, and Satya Arisena Hendrawan. "The Impact of Website Usability and Mobile Optimization on Customer Satisfaction and Sales Conversion Rates in E-commerce Businesses in Indonesia." Eastasouth Journal of Information System and Computer Science 2, no. 01 (2024): 15–30. https://doi.org/10.58812/esiscs.v2i01.324.

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This study investigates the impact of website usability and mobile optimization on customer satisfaction and sales conversion rates in e-commerce businesses in Indonesia. Utilizing a quantitative approach, data were collected from 170 respondents using a Likert scale ranging from 1 to 5. The analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The results indicate that all hypothesized relationships are positive and significant. Specifically, improvements in website usability and mobile optimization significantly enhance customer satisfaction, which in t

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Wang, Jing Chen, Feng Xia Cui, and Tao Li. "Optimization of Synthesis Process for Sodium Ascorbate." Advanced Materials Research 550-553 (July 2012): 10–15. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.10.

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With 2-keto-L-gulonic acid(2KLG) and methanol as raw materials, 98% concentrated sulfuric acid as catalyst, the methyl esterification reaction is occurred. Then with sodium carbonate as a transforming agent, a conversion reaction sodium carbonate is obtained. In this experiment, the effects of reaction time, reaction temperature and reactant ratio on conversion rate of sodium ascorbate were studied. The results showed that sodium carbonate as the reactant of lactonization reaction can effectively shorten the reaction time and improve reaction yield. By experiment under the optimum process cond

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Sumijanto, Sumijanto, and Sriyono Sriyono. "OPTIMASI LAJU ALIR MASSA DALAM PURIFIKASI PENDINGIN RGTT200K UNTUK PROSES KONVERSI KARBONMONOKSIDA." JURNAL TEKNOLOGI REAKTOR NUKLIR TRI DASA MEGA 18, no. 1 (2016): 11. http://dx.doi.org/10.17146/tdm.2016.18.1.2339.

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ABSTRAK OPTIMASI LAJU ALIR MASSA DALAM PURIFIKASI PENDINGIN RGTT200K UNTUK PROSES KONVERSI KARBONMONOKSIDA. Karbonmonoksida adalah spesi yang sulit dipisahkan dari helium pendingin reaktor karena mempunyai ukuran molekul relatif kecil sehingga diperlukan proses konversi menjadi karbondioksida. Laju konversi karbonmonoksida dalam sistem purifikasi dipengaruhi oleh beberapa parameter diantaranya konsentrasi, temperatur dan laju alir massa. Dalam penelitian ini dilakukan optimasi laju alir massa dalam purifikasi pendingin RGTT200K untuk proses konversi karbonmonoksida. Optimasi dilakukan melalui

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Abd Rabu, R., I. Janajreh, and D. Honnery. "Transesterification of waste cooking oil: Process optimization and conversion rate evaluation." Energy Conversion and Management 65 (January 2013): 764–69. http://dx.doi.org/10.1016/j.enconman.2012.02.031.

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Liu, Huanyu. "Research on Digital Marketing Strategy Optimization Based on 4P Theory and Its Empirical Analysis." Modern Economics & Management Forum 6, no. 1 (2025): 110. https://doi.org/10.32629/memf.v6i1.3564.

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Objective: This study explores an optimization model for digital marketing strategies based on the 4P theory, addressing the limitations of traditional marketing in digital environments, enhancing corporate profitability, user conversion rates, and customer satisfaction, and verifying the effectiveness of the optimized strategies. Methods: Based on the 4P theory, combined with dynamic pricing models and omnichannel layouts, we constructed an optimization model aimed at maximizing profits. Through simulation experiments, we compared experimental and control groups of electronic products, clothi

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Liu, Yingchen, Yuanhao Wang, and Xiaoyi Liu. "Research based on optimization model of C4 olefins preparation." Highlights in Science, Engineering and Technology 17 (November 10, 2022): 228–35. http://dx.doi.org/10.54097/hset.v17i.2603.

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In this paper,through the design of catalyst combination and temperature control,a mathematical model was established to explore the process of ethanol catalytic coupling to produce C4 olefins.Firstly,according to the data in the attachment,temperature was taken as the main variable,and ethanol conversion rate and C4 olefins selectivity were taken as dependent variables to solve the binary regression function. Then,ethanol conversion rate and C4 olefins selectivity were imported into the model as master columns.It was found that temperature had the greatest influence on ethanol conversion and

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Dingre, Sneha Satish. "An Approach to Optimize Conversion Rate using Behavioral Economics." Journal of Marketing Studies 7, no. 1 (2024): 8–14. http://dx.doi.org/10.47941/jms.1680.

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Purpose: This paper explores the integration of behavioral economics into the digital marketing landscape, emphasizing its potential to enhance conversion rates. Methodology: It highlights the significance of understanding human decision-making, incorporating behavioral elements into user profiles, and implementing a comprehensive conversion rate optimization framework. Findings: However, ethical considerations are crucial in this context, necessitating transparency, user autonomy, and responsible data handling to build enduring trust. Unique contributor to theory, policy and

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Xie, Tianchao, Shaojun Xia, and Qinglong Jin. "Thermodynamic Optimization of Ammonia Decomposition Solar Heat Absorption System Based on Membrane Reactor." Membranes 12, no. 6 (2022): 627. http://dx.doi.org/10.3390/membranes12060627.

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In this paper, an ammonia decomposition membrane reactor is applied to a solar heat absorption system, and thermodynamic optimization is carried out according to the usage scenarios. First, a model of an ammonia decomposition solar heat absorption system based on the membrane reactor is established by using finite time thermodynamics (FTT) theory. Then, the three-objective optimization with and the four-objective optimization without the constraint of the given heat absorption rate are carried out by using the NSGA-II algorithm. Finally, the optimized performance objectives and the correspondi

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Liang, Ming Zheng, Mei Li, Li Hong Lan, Tao Xie, Lei Zhong, and An Ping Liao. "Optimization of Fermentation Conditions for Synthesis Dextran by Biochemical Conversion." Advanced Materials Research 396-398 (November 2011): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.396-398.1611.

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To improve the production of dextran, fermentation conditions for cultivation of an Leuconostoc mesenteroides CICC-21725 were investigated. The fermentation conditions were optimized preliminarily by using the method of univariate experiment in the shake-ﬂask culture, and the yield rate of dextran was used as the investigation index. The result shows that when the fermentation temperature, initial pH value, rotation speed and inoculum concentration were 25 °C, 7.5 , 0 r/min and 10%, respectively, the yield rate of dextran was the highest. Under the optimal fermentation conditions, the yield ra

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Alkaied, Raed, Shadi Khattab, Ishaq Al Shaar, Mohammed Abu Zaid, and Sakher Al-Bazaiah. "The impact of artificial intelligence on re-purchase intentions, the mediation approach." Business Informatics 18, no. 3 (2024): 87–107. http://dx.doi.org/10.17323/2587-814x.2024.3.87.107.

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Purchases made on online platforms have heavily incorporated artificial intelligence (AI) to shape consumer purchasing behavior. To investigate re-purchase intentions, this study combines AI, social media engagement, conversion rate optimization, brand experience and brand preference. A survey was conducted with a questionnaire sent to 355 people who had at least once purchased or used services offered online from any site associated with aviation. The questionnaire was analyzed using structural equation modeling. Utilizing Amos V.22, the study hypotheses were assessed. The empirical results s

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Lu, Guo, Xiaoyun Zhang, Li Chen, and Zhiyong Gao. "Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization." IEEE Transactions on Image Processing 27, no. 2 (2018): 678–91. http://dx.doi.org/10.1109/tip.2017.2767782.

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Mohammed, Marwah N., Kamal Bin Yusoh, and Jun Haslinda Binti Haji Shariffuddin. "Parametric Optimization of the Poly (Nvinylcaprolactam) (PNVCL) Thermoresponsive Polymers Synthesis by the Response Surface Methodology and Radial Basis Function neural network." MATEC Web of Conferences 225 (2018): 02023. http://dx.doi.org/10.1051/matecconf/201822502023.

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A novel comparison study based on a radial basis function neural network (RBFNN) and Response Surface Methodology (RSM) is proposed to predict the conversion rate (yield) of the experimental data for PNVCL polymerization. A statistical and optimization model was performing to show the effect of each parameter and their interactions on the conversion rate. The influence of the time, polymerization temperature, initiator concentration and concentration of the monomer were studied. The results obtained in this study indicate that the RBFNN was an effective method for predicting the conversion rat

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19

Wu, Zhixiang, Huijun Feng, Lingen Chen, and Yanlin Ge. "Performance Optimization of a Condenser in Ocean Thermal Energy Conversion (OTEC) System Based on Constructal Theory and a Multi-Objective Genetic Algorithm." Entropy 22, no. 6 (2020): 641. http://dx.doi.org/10.3390/e22060641.

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Constructal optimization of a plate condenser with fixed heat transfer rate and effective volume in ocean thermal energy conversion (OTEC) system is performed based on constructal theory. Optimizations of entropy generation rate ( S ˙ g ) in heat transfer process and total pumping power ( P sum ) due to friction loss are two conflicting objectives for a plate condenser. With the conventional optimization method, the plate condenser is designed by taking a composite function (CF) considering both S ˙ g and P sum as optimization objectives, and employing effective length, width, and effective nu

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Santos, A. Sofia G. G., João Restivo, Carla A. Orge, M. Fernando R. Pereira, and O. Salomé G. P. Soares. "Nitrate Catalytic Reduction over Bimetallic Catalysts: Catalyst Optimization." C 6, no. 4 (2020): 78. http://dx.doi.org/10.3390/c6040078.

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The catalytic removal of nitrate (NO3−) in water using hydrogen as a reducing agent was studied using palladium-copper bimetallic catalysts in different supports. Commercial carbon nanotubes (CNTs), used as received and with different mechanical (CNT (BM 2h)) and chemical modifications (CNT (BM 4h)-N), titanium dioxide (TiO2) and composite materials (TiO2-CNT) were considered as main supports for the metallic phase. Different metal loadings were studied to synthesize an optimized catalyst with high NO3− conversion rate and considerable selectivity for N2 formation. Among all the studied suppor

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Chen, Hsiao-Ching, Hen-Yi Ju, Tsung-Ta Wu, et al. "Continuous Production of Lipase-Catalyzed Biodiesel in a Packed-Bed Reactor: Optimization and Enzyme Reuse Study." Journal of Biomedicine and Biotechnology 2011 (2011): 1–6. http://dx.doi.org/10.1155/2011/950725.

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An optimal continuous production of biodiesel by methanolysis of soybean oil in a packed-bed reactor was developed using immobilized lipase (Novozym 435) as a catalyst in atert-butanol solvent system. Response surface methodology (RSM) and Box-Behnken design were employed to evaluate the effects of reaction temperature, flow rate, and substrate molar ratio on the molar conversion of biodiesel. The results showed that flow rate and temperature have significant effects on the percentage of molar conversion. On the basis of ridge max analysis, the optimum conditions were as follows: flow rate 0.1

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Wang, Chang Mei, Shao Bing Wu, Wu Di Zhang, et al. "Process Optimization Based on Artificial Neural Network of Plant Oli to Preparing Biodiesel." Applied Mechanics and Materials 268-270 (December 2012): 401–5. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.401.

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In order to obtain the optimal technological conditions of preparing biodiesel, artificial neural network was used to study the biodiesel processing model on transesterification method based on the single factor experiment and orthogonal experiment. The results of experiment indicated that we used the back propagation BP algorithm of artificial neural network to set the network prediction model based on the orthogonal test data can forecast the biodiesel conversion rate under different reaction conditions more accurately.The optimal conditions were obtained from this network model as follows:

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Zhao, Jingcai, Xingfu Song, Ze Sun, Yanxia Xu, and Jianguo Yu. "Design and Optimization of the Preparation of Calcium Carbonate from Calcium Sulfate and Ammonium Bicarbonate." International Journal of Chemical Reactor Engineering 12, no. 1 (2014): 611–21. http://dx.doi.org/10.1515/ijcre-2014-0071.

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Abstract Simulation on single factor effect was used for the design and optimization of the preparation of calcium carbonate from calcium sulfate (DH) and ammonium bicarbonate. This study shows that simulation on single factor effect is effective because the experimental results are close to predicted results. Furthermore, response surface method based on a central composite design was used to determine the range of parameters to achieve a highly efficient conversion of DH. The results indicate that the significant parameters that affected the conversion of DH were ratio of carbon to sulfur, t

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Wang, Chang Mei, Shao Bing Wu, Wu Di Zhang, et al. "Process Optimization Based on Artificial Neural Network of Potassium Hydroxide to Preparing Biodiesel." Applied Mechanics and Materials 263-266 (December 2012): 2225–29. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2225.

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In order to obtain the optimal technological conditions of preparing biodiesel, artificial neural network was used to study the biodiesel processing model on transesterification method based on the single factor experiment and orthogonal experiment. The results of experiment indicated that we used the back propagation BP algorithm of artificial neural network to set the network prediction model based on the orthogonal test data can forecast the biodiesel conversion rate under different reaction conditions more accurately.The optimal conditions were obtained from this network model as follows:

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Xu, You, Jiacheng Yin, Jun Wang, and Xianbao Wang. "Design and optimization of solar steam generation system for water purification and energy utilization: A review." REVIEWS ON ADVANCED MATERIALS SCIENCE 58, no. 1 (2019): 226–47. http://dx.doi.org/10.1515/rams-2019-0034.

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AbstractSolar steam generation with low-cost and excellent energy efficiency is of great significance for alleviating an energy crisis, reducing water pollution and promoting seawater desalination. However, there are still numerous challenges for solar steam generation system to practical energy utilization. In this review, based on our previous research, we summarize various methods of solar steam generation, photothermal conversion mechanism and efficiency. We studied a series of effecting factors for solar steam generation. Our systematic investigation provided a clearer understanding of ho

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Harmami, Sri Budi, Yenny Meliana, Puji Wahyuningsih, and Misri Gozan. "Optimization of ethyl oleate from oleic acid and ethanol with Dean-Stark trap technology by response surface methodology." E3S Web of Conferences 503 (2024): 04004. http://dx.doi.org/10.1051/e3sconf/202450304004.

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This work evaluates the optimum condition of the esterification reaction of oleic acid (OA) and ethanol by Dean-Stark trap (DS) and without technology, as well as the effects of the various factors’ interaction on the conversion rate of OA. The influences of OA/ethanol molar ratio, concentration of catalyst, temperature reaction, and time reaction on the conversion rate of OA were investigated. The response surface method (RSM) is combined to optimize the experimental scheme. The results showed that the conversion rate of OA reached the peak of 98.78% when the molar ratio of ethanol/OA was 9:1

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Kim Lo, Po, and Hor Yan Phin. "Catalytic transesterification of glycerol: Optimization for production of glycerol carbonate." Malaysian Journal of Fundamental and Applied Sciences 15, no. 2 (2019): 131–38. http://dx.doi.org/10.11113/mjfas.v15n2.1090.

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The purpose of this research was to study the effect of reaction temperature, reaction time and dimethyl carbonate:glycerol (DMC:Gly) molar ratio on the conversion of glycerol and yield of glycerol carbonate. The reaction was further optimized with central composite design (CCD), 15 runs of transesterification reaction were conducted. Meanwhile, the calcined calcium oxide catalyst was fixed at catalyst/glycerol molar ratio at 0.06 while the stirring rate was maintained at 1000 rpm for every runs. ANOVA results indicated that reaction temperature and reactants ratio (DMC:Gly) influenced the yie

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Beniwal, Mahender Kumar, Sunil Dhankhar, and Anjana Sangwan. "Web Analytics for Conversion Rate Optimization: Analyzing User Behavior to Improve Website Performance." SKIT Research Journal 14, no. 1 (2024): 28–34. http://dx.doi.org/10.47904/ijskit.14.1.2024.28-34.

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Liu, Hongjian. "Research on Literary Translation Based on the Improved Optimization Model." Discrete Dynamics in Nature and Society 2022 (April 16, 2022): 1–7. http://dx.doi.org/10.1155/2022/1329632.

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Machine translation is widely used in people’s daily lives and production, occupying an important position. In order to improve the accuracy of the literary intelligent translation, research on literary intelligent translation is based on the improved optimization model. Based on semantic features, the semantic ontology optimization model including an encoder and a decoder is created by machine translation. In order to improve the accuracy of the intelligent translation literature of the semantic ontology optimization model, the conversion layer, including the forward neural network layer, res

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Meslem, Hanane, and Ayoub Abbaci. "A practical approach for optimizing the conversion rate of a landing page's visitors." Marketing Science & Inspirations 17, no. 4 (2022): 40–53. http://dx.doi.org/10.46286/msi.2022.17.4.4.

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Conversion rate optimization on a landing page is due to several factors, including design. This research attempted to measure the importance of certain components leading to the desired action to determine the key points to respect in the conception of a landing page that appears after clicking on a call-to-action button. We adopted both a quantitative and qualitative approach. The survey generated 221 respondents of which 216 had already visited a landing page after having a click. The aim was to measure the correlations between the components on the one hand and to determine the conversion

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Huang, Xing, Zhengguo Lv, Xin Yao, Yang Liu, Yuhe Wang, and Sijia Zhu. "Research on the Optimization of the Operating Parameters of Methane Carbon Dioxide Reforming Using the Response Surface Methodology." Processes 11, no. 8 (2023): 2334. http://dx.doi.org/10.3390/pr11082334.

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In order to reduce the production cost of the methane carbon dioxide reforming reaction, and improve its actual production efficiency, in this paper, the optimal working parameters of the methane carbon dioxide reforming reaction are studied. The influence of different factors on methane conversion is studied via a single-factor numerical simulation analysis and the response surface methodology. Firstly, a numerical model of the methane carbon dioxide reforming reaction is established using Ansys Chemkin Pro software to analyze the influence of single factors (reactor temperature, reaction pre

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Jin, Jiangang. "The use of genetic algorithm in the design of internet of things platform of heat energy collection system." Thermal Science 24, no. 5 Part B (2020): 3177–84. http://dx.doi.org/10.2298/tsci191113108j.

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Objective: The application of genetic algorithm in the design of the Internet of Things platform of heat energy collection system is launched, and the value of the application of the Internet of Things control platform of genetic algorithm in the heat energy collection system is analyzed to verify its effectiveness and superiority. Method: Firstly, the design of the basic framework of the Internet of Things is developed, mainly on the acquisition and processing module and the communication module of the framework. Then, genetic algorithm is used to make statistics of the system nodes in the he

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Budd, Bruce Q. "Website Data And Uses For Strategic Marketing A Commercial Experience." International Journal of Management & Information Systems (IJMIS) 16, no. 3 (2012): 239. http://dx.doi.org/10.19030/ijmis.v16i3.7076.

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This is an investigation into website analytics and the traffic source effect on goal conversions.The primary objective is to measure its web page analytics and improve its commercial marketing strategy.Crucial benchmarks of website efficacy for improved business optimization were created.Interesting results emerged.Though Google was by far the best traffic source, it did not achieve the highest comparative goal conversion rate.While Facebook had a lower conversion rate, they attracted the highest traffic flow for returning visitors.Hotfrog.com.au results showed a 100% conversion rate with all

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Hutajulu, Febi Tia Maria, Ahista Aushafa Vito, Fara Fakhira, and Dzikrina Sekar Izzati. "Improving Yield Conversion with Triple Conversion Reactor for Styrene Production from Ethylbenzene." Journal of Chemical Engineering Research Progress 2, no. 1 (2024): 61–71. https://doi.org/10.9767/jcerp.20312.

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Styrene is a critical component in various polymer-based materials, with increasing global demand. Its production primarily involves the catalytic dehydrogenation of ethylbenzene, a process requiring high temperatures and facing challenges like by-product formation. This research aims to enhance the yield conversion of styrene using a triple conversion reactor system. The methodology employs Aspen HYSYS simulation, with thermodynamic considerations guiding the reactor designs and operating conditions. Results indicate that implementing three reactors increased the conversion rate from 96% to 9

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Sulaiman, Muataz M., and Hasan F. Makki. "Microwave-enhanced cracking over ZSM-5 (20) catalysts: Taguchi optimization for improved conversion and energy savings." Edelweiss Applied Science and Technology 8, no. 6 (2024): 4920–33. http://dx.doi.org/10.55214/25768484.v8i6.3055.

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For heavy naphtha cracking, the combination of microwave irradiation and ZSM-5 (20) catalyst increases conversion and saves energy. The QVF tube reactor is 240 mm long, 12.7 mm inner diameter with an 80 mm effective zone. The feed goes into the reactor after it has been heated, and the reaction takes place in the catalytic zone, where ceramic particles loaded in the bottom and upper regions of the tube help the feed components and products spread out more evenly. All products were condensed and analysed using gas chromatography. The cracking was done under the following conditions: microwave i

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Tian, Tian, Weimin Wu, Jiacheng Jiang, Lixun Zhu, Kaiyuan Lu, and Frede Blaabjerg. "Design Optimization of a Reluctance Lead Screw for Wave Energy Conversion." Energies 13, no. 20 (2020): 5388. http://dx.doi.org/10.3390/en13205388.

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A reluctance lead screw (RLS) is proposed in this paper which consists of a rotor and a translator, forming a magnetic device that is able to transfer low-speed linear motion into high-speed rotational motion. Permanent magnets (PMs) are only installed in the rotor, making it more suitable for long-stroke applications. The design aspects are assessed by finite element analysis (FEA) and the performance is evaluated. In addition, the thrust force per magnet volume is presented for evaluating the utilization rate of the PMs. The simulation results show that RLS has an advantage in terms of the P

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Dewi, W. S., E. Utami, and B. Sudaryatno. "Improving the Performance of Online Portfolio for Students With Conversion Rate Optimization (CRO) Techniques." Journal of Physics: Conference Series 1140 (December 2018): 012032. http://dx.doi.org/10.1088/1742-6596/1140/1/012032.

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Matahati, Haiqa, and Annisa Rahmani Qastharin. "Enhancing PT. LVC Website Marketing Strategy To Generate Leads Through Conversion Rate Optimization (CRO)." Mandalika Journal of Business and Management Studies 2, no. 2 (2024): 189–208. https://doi.org/10.59613/mjbms.v3i1.136.

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PT. LVC is a B2B company that provides consultation services for management, QHSE (Quality, Health, Safety, and Environment), regulatory compliance, and business strategy. PT. LVC is aiming to grow its business due to increasing competition. They operate as a consulting firm offering one-time purchase services tailored to each industry. This makes it challenging to secure repeat sales from previous clients. Currently, their primary source of new clients is through their website because after trying other channels, website is the most effective and digital marketing nowadays have proven to be h

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Yazan, Alkhlefat, Mahdaliza Idrus Sevia, and M. Iqbal Farabi. "Optimization of system's parameters for wavelength conversion of E-band signals." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1659–66. https://doi.org/10.11591/ijece.v12i2.pp1659-1666.

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Current and future wireless communication systems are designed to achieve the user’s demands such as high data rate and high speed with low latency and simultaneously to save bandwidth and spectrum. In 5G and 6G networks, a high speed of transmitting and switching is required for internet of things (IoT) applications with higher capacity. To achieve these requirements a semiconductor optical amplifier (SOA) is considered as a wavelength converter to transmit a signal with an orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM). It exploits the subcarrier

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Alkhlefat, Yazan, Sevia Mahdaliza Idrus Sutan Nameh, and Farabi M. Iqbal. "Optimization of system’s parameters for wavelength conversion of E-band signals." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1659. http://dx.doi.org/10.11591/ijece.v12i2.pp1659-1666.

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Current and future wireless communication systems are designed to achieve the user’s demands such as high data rate and high speed with low latency and simultaneously to save bandwidth and spectrum. In 5G and 6G networks, a high speed of transmitting and switching is required for internet of things (IoT) applications with higher capacity. To achieve these requirements a semiconductor optical amplifier (SOA) is considered as a wavelength converter to transmit a signal with an orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM). It exploits the subcarrier’s pow

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Zaker, Mohammad Reza, Clémence Fauteux-Lefebvre, and Jules Thibault. "Modelling and Multi-Objective Optimization of the Sulphur Dioxide Oxidation Process." Processes 9, no. 6 (2021): 1072. http://dx.doi.org/10.3390/pr9061072.

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Sulphuric acid (H2SO4) is one of the most produced chemicals in the world. The critical step of the sulphuric acid production is the oxidation of sulphur dioxide (SO2) to sulphur trioxide (SO3) which takes place in a multi catalytic bed reactor. In this study, a representative kinetic rate equation was rigorously selected to develop a mathematical model to perform the multi-objective optimization (MOO) of the reactor. The objectives of the MOO were the SO2 conversion, SO3 productivity, and catalyst weight, whereas the decisions variables were the inlet temperature and the length of each cataly

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Tumkot, Laddawan, Armando T. Quitain, Tetsuya Kida, Navadol Laosiripojana, Artiwan Shotipruk, and Panatpong Boonnoun. "Sulfonated Hydrothermal Carbon-Based Catalyzed Esterification under Microwave Irradiation: Optimization and Kinetic Study." Bulletin of Chemical Reaction Engineering & Catalysis 15, no. 2 (2020): 514–24. http://dx.doi.org/10.9767/bcrec.15.2.7040.514-524.

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In this study, the esterification reaction of oleic acid (OA) with methanol was investigated in the presence of a sulfonated hydrothermal carbon-based catalyst under microwave irradiation. The reaction conditions were optimized using response surface methodology based on a central composite design. Three following variables were studied: methanol to OA molar ratios (2.5:1–7.5:1), reaction time (50–70 min) and catalyst loading (2–5 wt.%) to provide a statistical model with the coefficient of regression (R2) of 0.9407. Based on the model, the optimum OA conversion of 95.6% was predicted at 5.8:1

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Cui, Wen-hua, Jie-sheng Wang, and Shu-xia Li. "KPCA-ESN Soft-Sensor Model of Polymerization Process Optimized by Biogeography-Based Optimization Algorithm." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/493248.

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For solving the problem that the conversion rate of vinyl chloride monomer (VCM) is hard for real-time online measurement in the polyvinyl chloride (PVC) polymerization production process, a soft-sensor modeling method based on echo state network (ESN) is put forward. By analyzing PVC polymerization process ten secondary variables are selected as input variables of the soft-sensor model, and the kernel principal component analysis (KPCA) method is carried out on the data preprocessing of input variables, which reduces the dimensions of the high-dimensional data. Thek-means clustering method is

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Santos, Ana Sofia G. G., João Restivo, Carla Alexandra Orge, Manuel Fernando R. Pereira, and Olívia Salomé G. P. Soares. "Catalytic Hydrogenation of Nitrate over Immobilized Nanocatalysts in a Multi-Phase Continuous Reaction System: System Performance, Characterization and Optimization." Processes 11, no. 9 (2023): 2692. http://dx.doi.org/10.3390/pr11092692.

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Nitrate catalytic reduction in a continuous system was studied in the presence of Pd-Cu macrostructured catalysts synthesized through a novel washcoating methodology of the pre-formed bimetallic powder catalyst. The present work aims to understand the behavior of the macrostructured bimetallic catalyst in the presence of different reaction conditions in order to achieve the design of an optimized facility that can produce the best catalytic results: maximum NO3− conversion with enhanced N2 selectivity. The residence time of the inlet solution and the catalyst concentration in the reactor prove

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Liu, Quan Xiao, Yu Bin Lv, Jin Li Li, and Wen Cai Xu. "Research on Polymerization Processes of Cationic Polyacrylate Emulsion and its Optimization." Advanced Materials Research 311-313 (August 2011): 1190–94. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.1190.

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Cationic polyacrylate emulsion was prepared in lab by semi-continuous seed pre-emulsification process. After the single factor experiments, the orthogonal experiments were made to get the optimal polymerization processes. Through the single factor experiment and further the orthogonal experiment optimization, it shows that the sequence of the effect of these factors on the viscosity of emulsion is drop time > reaction time > reaction temperature. The sequence of the effect of these factors on the solid content of emulsion is drop time > reaction time > reaction temperature. The seq

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Thakare, Shraddha Prashant, Harsha S, and A. S. Kulkarni. "OPTIMIZATION OF FATTY ACID GENERATION USING PARAMETRIC ANALYSIS." International Journal of Research -GRANTHAALAYAH 7, no. 6 (2020): 120–31. http://dx.doi.org/10.29121/granthaalayah.v7.i6.2019.779.

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The objective of this study is to optimize the different parameters to carry out analysis of fatty acids. A kinetic was observed for first order enzymatic hydrolysis of flax seed methyl ester was carried out by using Rhizomucor michei. In this study the analysis of hydrolysis was carried out by varying the temperature (30-40oC) and enzyme load (2-5%). The optimal condition were found to temperature 50oC, 6h reaction time, buffer to flax seed methyl ester ratio 1.5:1(v/w) and 4% enzyme load to achieve a maximum hydrolysis conversion of 97.56%. The effect of temperature on the reaction rate cons

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Harsha, S., Prashant Thakare Shraddha, and S. Kulkarni A. "OPTIMIZATION OF FATTY ACID GENERATION USING PARAMETRIC ANALYSIS." International Journal of Research - Granthaalayah 7, no. 6 (2019): 120–31. https://doi.org/10.5281/zenodo.3262206.

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The objective of this study is to optimize the different parameters to carry out analysis of fatty acids. A kinetic was observed for first order enzymatic hydrolysis of flax seed methyl ester was carried out by using Rhizomucor michei. In this study the analysis of hydrolysis was carried out by varying the temperature (30-40oC) and enzyme load (2-5%). The optimal condition were found to temperature 50oC, 6h reaction time, buffer to flax seed methyl ester ratio 1.5:1(v/w) and 4% enzyme load to achieve a maximum hydrolysis conversion of 97.56%. The effect of temperature on the reaction rate cons

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Hnylyakevych-Prots, Iryna, and Svitlana Zinkova. "Features of promotion and optimization of one-page websites." Marketing and Digital Technologies 6, no. 4 (2022): 17–27. http://dx.doi.org/10.15276/mdt.6.4.2022.2.

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The aim of the article. The purpose of the article is to determine the key features of the promotion and optimization of a one-page site, as well as to investigate whether it is possible to promote it by SEO in the TOP of organic search results. Analyses results. The scientific article analyses the features of promotion and optimization of a one-page site, focusing on traffic and conversion technologies. The complete identification of a one-page site with a landing page was refuted, and it was proved that a landing page is not always a one-page site. The main types of one-page websites and met

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Wei, Li Li, Yu Feng Zhang, Yong Chao Mu, Xiao Chen Yang, and Hong Ting Ma. "Influencing Factors of Low-Grade Energy Conversion System Using ORCs." Applied Mechanics and Materials 193-194 (August 2012): 206–10. http://dx.doi.org/10.4028/www.scientific.net/amm.193-194.206.

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Rankine cycles using organic working fluids are widely believed feasible in recovering low enthalpy-containing heat. Through the analysis, the enthalpy difference, the dryness of inlet wet steam and evaporating and condensing temperature have significant influence on the energy conversion efficiency. The power output also relies on the specific volume and latent heat, which determine the mass flow rate. The results serve good guideline for experiments and systematic optimization.

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Gautam, Divya, Kavita Khare, and Bhavana P. Shrivastava. "A Novel Approach for Optimal Design of Sample Rate Conversion Filter Using Linear Optimization Technique." IEEE Access 9 (2021): 44436–41. http://dx.doi.org/10.1109/access.2021.3066292.

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