@Research Article
<#LINE#>Weather Adaptive Helmet<#LINE#>Hetal @Shah,Narendrakumar @Chauhan,Vageshri @Jhala,Parul @Sharma <#LINE#>1-4<#LINE#>1.ISCA-RJEngS-2024-013.pdf<#LINE#>Department of Electronics Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Electronics Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Electronics Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Electronics Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India<#LINE#>25/7/2024<#LINE#>11/11/2024<#LINE#>In the realm of motorcycle safety, helmets have undergone significant advancements, incorporating features such as accident detection, SOS alerts, and alcohol detection to enhance rider safety. However, in the diverse and extreme seasonal variations of the Indian subcontinent, additional challenges arise. To address these challenges, we introduce the Weather-Adaptive Smart Helmet, a smart concept. This innovative helmet offers three fundamental solutions for rider safety and comfort. It is equipped with an automatic light-resistant visor, ensuring optimal vision and eye protection during intense sunlight and scorching heat waves. The helmet also includes an efficient ventilation system, maintaining riders’ comfort by optimizing airflow, regardless of weather conditions. In monsoon conditions, a detachable rain cover deploys automatically upon detecting rainfall, safeguarding the rider’s possessions. The primary goal of this system is to enhance the two-wheeler riding experience, giving riders the confidence to navigate diverse weather conditions while prioritizing their safety and comfort.<#LINE#>Agarwal, N., Singh, A. K., Singh, P. P., & Sahani, R. (2015).@Smart helmet.@International Research Journal of Engineering and Technology, 2(02), 3.@Yes$Patel, M. V. A., Mishra, M. A., Hiten, M. R., & Prajapati, M. K. (2017).@Smart helmet.@Int. Res. J. Eng. Technol, 4, 7-10.@Yes$Budiman, A. R., Sudiharto, D. W., & Brotoharsono, T. (2018).@The prototype of smart helmet with safety riding notification for motorcycle rider.@In 2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) (pp. 362-367). IEEE.@Yes$Chandran, S., Chandrasekar, S., & Elizabeth, N. E. (2016).@Konnect: An Internet of Things (IoT) based smart helmet for accident detection and notification.@In 2016 IEEE Annual India Conference (INDICON) (pp. 1-4). IEEE.@Yes$Dhulavvagol, P. M., Shet, R., Nashipudi, P., Meti, A. S., & Ganiger, R. (2017).@Smart helmet with cloud GPS GSM technology for accident and alcohol detection.@In International Conference on Cognitive Computing and Information Processing (pp. 346-357). Singapore: Springer Singapore.@Yes$Shahare, B., Chawde, S., Gudafwar, R., Pal, H., Bobade, P., & Bawankar, S. (2021).@Iot Based smart motor cycle helmet.@Journal of Electronics, 3(01), 15-22.@Yes$Bibbo, D., Conforto, S., Laudani, A., & Lozito, G. M. (2017).@Solar energy harvest on bicycle helmet for smart wearable sensors.@In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI) (pp. 1-6). IEEE.@Yes$Hsu, Y. L., Tai, C. Y., & Chen, T. C. (2000).@Improving thermal properties of industrial safety helmets.@International Journal of Industrial Ergonomics, 26(1), 109-117.@Yes$Brühwiler, P. (2008).@Radiant heat transfer of bicycle helmets and visors.@Journal of sports sciences, 26(10), 1025-1031.@Yes$Rao, S. (2019).@Voice controlled wiper for smart helmets.@International Journal of Innovative Technology and Exploring Engineering, 8(12), 2086.@Yes
<#LINE#>Health Monitoring and Predictive Maintenance of DC Motor<#LINE#>Parmar Avinash kumar @B.,Desai Devansh @V.,Chawda Jaymin @V.,Vipul A. @Shah,Himanshu @Patel <#LINE#>5-9<#LINE#>2.ISCA-RJEngS-2024-014.pdf<#LINE#>Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India@Department of Instrumentation and Control Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India<#LINE#>25/7/2024<#LINE#>18/10/2024<#LINE#>The health monitoring of induction motor is a technology which involves the measurement of machine during operating condition like temperature rising, burning of winding, over current, over voltage etc. Predictive maintenance is the way to improve asset management in every manufacturing industry, while handling advance costlier machinery in the industry, the predictive maintenance knowledge will be essential to protect the machinery before gets degradation performance. Now days the maintenance of AC or DC motor is most common requirement in industries. Routine maintenance is essential to reduce plant downtime which is costly in any manufacturing facility. The goal of our device which is connected to motor is to calculate the run time values and continuously compare these values with standard values of motor. Using vibration, current and temperature sensor, we can predict the values. If the values are exceeds the limits then VI developed in Lab VIEW will pop-up a message. This can determine a fault for an overhaul or replacement of motor. We can easily connect this wireless device to AC or DC motor. This maintenance programs is to reduce maintenance cost by detecting problems early which allows for better planning and less expected failure. The use of DC motor is done in a maximum way, to avail advantages of high starting toque, preferably in crane applications.<#LINE#>G.R. Sisman and M. Oproescu (2015).@Predictive maintenance at electronic equipment - a brief review.@Technical and Physical Problems of Engineering, 7(25).@Yes$Raghavendra Pai, K., Lokesh, K. S., Veeresh, R. K., & Ananthakrishna Somayaji, N. K. (2020).@Investigation on performance of DC motor in exhaust application using vibration based condition monitoring.@PalArch@Yes$Aditya S. Kamble, Prathmesh K. Hedda, Omkar B. Gadade, Tejas A. kadam. (2024).@Intelligent AC/DC Motor Fault Detection.@International Journal of Creative Research Thoughts (IJCRT), 12(1).@Yes$Jatakar, K. H., Mulgund, G., Patange, A. D., Deshmukh, B. B., Rambhad, K. S., Saxena, A., & Kalbande, V. (2022).@Vibration monitoring system based on ADXL335 accelerometer and Arduino Mega2560 interface.@Journal of Algebraic Statistics, 13(2), 2291-2301.@Yes$Handaya, D., Fauziah, R., & Listyorini, T. (2018).@Real-time Monitoring System Using LabView for DC Motor Position Control Embedded System with PID and Pole Placement Control.@In The 1st International Conference on Computer Science and Engineering Technology Universit as Muria Kudus.@Yes$Suhas Deshmukh, Nikhil Bhise, Charudatta Jagtap, Pranod Mane, Akshay Gavade (2021).@Low-Cost Solution for FFT (Fast Fourier Transform) Analyser.@International Journal for Research in Applied Science & Engineering Technology, 9(5).@No$Reñones, A., & Galende, M. (2020).@FAIR open dataset of brushed DC motor faults for testing of AI algorithms.@ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9(4), 83.@Yes
<#LINE#>Investigate effect of machining parameters on geometric form and orientation controls (23 design)<#LINE#>Nirav @Vora,Gurmitsingh @Bassan <#LINE#>10-15<#LINE#>3.ISCA-RJEngS-2024-032.pdf<#LINE#>Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India@Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India<#LINE#>28/7/2024<#LINE#>5/10/2024<#LINE#>This study investigates the impact of machining parameters such as spindle speed, feed rate, and depth of cut on Face Milling of Aluminium 6061. Aluminium 6061 is commonly used in manufacturing due to its cost-effectiveness. A total of 23 full factorial designs with four central factors were employed to conduct reliable experiments. The response parameters chosen include Flatness, Straightness, Parallelism, which govern the form and orientation control of Geometric Dimensioning & Tolerancing (GD&T). The spindle speed, feed rate, and depth of cut influence flatness, straightness, and parallelism. Controlling machining parameters is crucial to achieve desired levels of flatness, straightness, and parallelism. Predictive modelling can assist in selecting optimal process parameters. ANOVA analysis was performed to determine the significance of input parameters. Flatness, straightness, and parallelism were measured using a coordinate measuring machine. The predicted values from the model closely match the experimental values.<#LINE#>Drake, P. J., & Drake, P. J. (1999).@Dimensioning and tolerancing handbook.@24-12. New York: McGraw-Hill.@Yes$Montgomery, D. C. (2017).@Design and analysis of experiments.@John wiley & sons.@Yes$Frechette, S. P., Jones, A. T., & Fischer, B. R. (2013).@Strategy for testing conformance to geometric dimensioning & tolerancing standards.@Procedia CIRP, 10, 211-215.@Yes$Joshi, A., & Kothiyal, P. (2013).@Investigating effect of machining parameters of CNC milling on surface finish by Taguchi method.@International Journal on Theoretical and Applied Research in Mechanical Engineering, 2(2), 113-119.@Yes$Bajić, D., Lela, B., & Živković, D. (2008).@Modeling of machined surface roughness and optimization of cutting parameters in face milling.@Metalurgija, 47(4), 331-334.@Yes$Lela, B., Bajić, D., & Jozić, S. (2009).@Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling.@The International Journal of Advanced Manufacturing Technology, 42, 1082-1088.@Yes$Patel, P. J., & Sheth, S. (2013).@Effect of various parameters on material removal rate in flashing operation of precision steel ball manufacturing process.@In 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM2013) (pp. 332-338).@Yes$Patel, P. J., Sheth, S., & Chauhan, P. (2014).@Effect of various parameters on Spread in flashing operation of precision steel ball manufacturing process.@Procedia Materials Science, 5, 2224-2232.@Yes$Schmitz, T. L., Ziegert, J. C., Canning, J. S., & Zapata, R. (2008).@Case study: A comparison of error sources in high-speed milling.@Precision Engineering, 32(2), 126-133.@Yes$Kim, W. K., Kim, H. T., Ryu, G. M., & Kim, G. H. (2013).@Study on high-speed cutting characteristics using design of experiments.@International journal of precision engineering and manufacturing, 14, 1869-1872.@Yes$Elmesbahi, A. B. D. E. L. I. L. A. H., Rechia, A. H. M. E. D., & Jaider, O. U. S. S. A. M. A. (2014).@Optimized-automated choice of cutting tool machining manufacturing features in milling process.@In Proceedings of the 11th World Congress on Computational Mechanics. pp. 1747-1761.@Yes$Moroni, G., & Petro, S. (2013).@Inspection strategies and multiple geometric tolerances.@Procedia CIRP, 10, 54-60.@Yes$Sheth, S., & George, P. M. (2016).@Experimental investigation and fuzzy modelling of flatness and surface roughness for WCB material using face milling operation.@In CAD/CAM, Robotics and Factories of the Future: Proceedings of the 28th International Conference on CARs & FoF 2016 (pp. 769-777). Springer India.@Yes
<#LINE#>Valorization of powder of neem hulls like bioadsorbant for the detoxification of the hospital effluents: Case of CNHU-HKM<#LINE#>Arthur Romuald @CAKPO,FANOUVI @Mireille,BOKOSSA @Hervé,SAGBO @Etienne <#LINE#>16-21<#LINE#>4.ISCA-RJEngS-2024-034.pdf<#LINE#>Laboratoire de Chimie Physique-Matériaux et Modélisation Moléculaire (LCP3M), Unité de recherche de Chimie Inorganique, Ingénierie des Matériaux et Environnement (URCIIME) - Faculté des Sciences et Techniques (FAST), République du Bénin@Centre Inter facultaire de Formation et de Recherche en Environnement pour le Développement Durable (CIFRED), Université d’Abomey - Calavi (UAC), République du Bénin@Centre Inter facultaire de Formation et de Recherche en Environnement pour le Développement Durable (CIFRED), Université d’Abomey - Calavi (UAC), République du Bénin@Laboratoire de Chimie Physique-Matériaux et Modélisation Moléculaire (LCP3M), Unité de recherche de Chimie Inorganique, Ingénierie des Matériaux et Environnement (URCIIME) - Faculté des Sciences et Techniques (FAST), République du Bénin<#LINE#>3/9/2024<#LINE#>20/12/2024<#LINE#>The chemical subtances used in hospitals for various treatments are often found in hospital liquid effluents. This discharge of these liquid effluents into the natural environment is an enormous risk for human health. It can cause a real problem in our environment with harmful and sometimes irreversible consequences on the aquatic ecosystem. The objective of this Master’s thesis is to evaluate the chemical pollution of liquid effluents from the National Hospital and University Center Hubert KOUTOUKOU MAGA (CNHU-HKM) of Cotonou by the cytotoxicity test based on the inhibition of the growth of the roots of onions cultivated. These effluents were subject to decontamination with neem husk powder and its activated carbon. The cytotoxicity test carried out on samples of untreated CNHU-HKM Hospital effluent shows that the Effective Concentration for which chemical effects are observed for 50% of the effluents tested (EC50) is 22%. Depollution whith hull powder of neem (BA) gave 27% and that obtained with is Activated Carbon (AC) gave 37%. The results obtained reveal that the effluents from the CNHU-HKM are chemically polluted, that is to say, do not comply with the standards in force in Benin. These clearly show that it is important to carry out regular monitoring and evaluation of our hospital effluents before their discharge into urban sanitation networks.<#LINE#>Singh, A. and Malaviya, P. (2011).@Physicochemical Technologies for Remediation of Chromium-Containing Waters and Wastewaters.@Critical reviews in environmental science and technology, 41(12).@Yes$Jeanne-Rose, V. (2017).@Les charbons  actifs  pour  le  traitement  des  eauxusées.@241-273.@No$Darsy, C., Lescure, I., Payot, V., & Rouland, G. (2002).@Effluents des établissements hospitaliers: teneur en microorganismes pathogènes, risques sanitaires, procédures particulières d’épuration et de gestion des boues.@Office International de l’Eau, Limoges (France), Site http://www. oieau. org.@Yes$Sanaa, D., Bouchaib, B., Nadia, B., & Said, E. A. (2019).@Diagnostic de la gestion des effluens liquides hospitaliers de la region de Casablanca-Settat.@European Scientific Journal, 15(6), 171-190.@Yes$Tchakala, I., Bawa, LM, Djaneye-Boundjou, G., Doni, KS, & Nambo, P. (2012).@Optimization of the process for preparing activated carbons by chemical means (H3PO4) from shea cakes and cotton cakes.@International Journal of Biological and Chemical Sciences, 6(1), 461-478.@Yes$Mayeko, A. K. K., Vesituluta, P. N., Di Phanzu, J. N., Muanda, D. M. W., Bakambo, G. E., Lopaka, B. I., & Mulangala, J. M. (2012).@Adsorption de la quinine bichlorhydrate sur un charbon actif peu coûteux à base de la Bagasse de canne à sucre imprégnée de l’acide phosphorique.@International Journal of Biological and Chemical Sciences, 6(3), 1337-1359.@Yes$Mbaye, G. U. E. Y. E. (2009).@Synthèse et étude des charbons actifs pour le traitement des eaux usées d’une tannerie. Mémoire de master en énergie et procédés industriels.@2iE, Burkina Faso.@Yes$Gueye, M. (2015).@Développement de charbon actif a partir de biomasses lignocellulosiques pour des applications dans le traitement de l@@Yes$Balogoun, C. K., Bawa, M. L., Osseni, S., & Aina, M. (2015).@Préparation des charbons actifs par voie chimique à l@International Journal of Biological and Chemical Sciences, 9(1), 563-580.@Yes$Fagnibo, H. (2012).@Gestion des effluents domestiques en milieu hospitalier: cas du Centre National et Universitaire Hospitalier HKM de Cotonou.@Mémoire de Master 62pages.@Yes$Cakpo, A. R., Tometin, L. A., Fanou, N., Goudjo, F., Akodedjrohoun, I. B., sagbo, E., & Soumanou, M. M. (2023).@Characterization of the SEHOUE–MASSI clay used for chemical purification: case of GBAGO ponds (Porto-Novo. Republic of Benin).@Research Journal of Material Sciences, 11(2), 1-11.@No
@Review Paper
<#LINE#>Smart Generation of 6G: Opportunities and Challenges<#LINE#>Vivekanand @Kumar,Sharad @Sharma <#LINE#>22-33<#LINE#>5.ISCA-RJEngS-2024-009.pdf<#LINE#>Department of Electronics and Communication Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana 133207, India@Department of Electronics and Communication Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana 133207, India<#LINE#>19/5/2024<#LINE#>10/8/2024<#LINE#>Every ten years there has been a generation shift in communication. Although sixth generation wireless systems, which refer to as going beyond fifth generation (5G) systems are just starting to become a commercial reality. The newest innovations and cutting edge breakthrough in telecommunication network throughout previous period. The "Smart Generation of 6G" refers toward create and utilization for advanced technology, strategies, and frameworks that define Following a wave of technological advances in wireless communication, often referred to be the sixth generation. This conceptual encompasses the integration of various cutting-edge technology like quantum technology and intelligent machines, advanced signal processing, even innovative networking architectures to establish a highly intelligent, efficient, and responsive wireless network ecosystem. The "Smart Generation of 6G" encapsulates the forward-looking paradigm shift towards an intelligent, interconnected, and transformative communication landscape that will redefine industries, enable new applications, and drive unprecedented socio-economic progress. In this section, we provide a thorough analysis regarding the most lately advancements toward the sixth generation. While doing so emphasize both technical as well as social developments driving transition upwards of the sixth generation. Subsequently, new uses for meet the requirements generated Driven patterns using the sixth generation include examined. Additionally, I go into detail about the prerequisites needed to implement 6G apps. Then we thoroughly outline the major enabling technologies. Smart Generation of 6G focuses on the following key aspects: Ubiquitous Connectivity, Hyper-Fast Transmission Speeds and incredibly low Latencies, Intelligent Networking, Energies efficiency and Wavelength Analysis, Security as well as Privacy, Heterogeneous Integration, Global Collaboration  And it has explain how the next generation of mobile network and the latest technology IoE are evolving and convergent leading to the birth dynamic 6th generation networks that will apply Artificial Intelligence, optimise, automate , solve challenges and opportunities.<#LINE#>Giordani, M., Polese, M., Mezzavilla, M., Rangan, S., & Zorzi, M. (2020).@Toward 6G networks: Use cases and technologies.@IEEE communications magazine, 58(3), 55-61.@Yes$Button, K., & Rossera, F. (1990).@Barriers to communication: A literature review.@The annals of regional science, 24, 337-357.@Yes$Stüber, G. L., & Steuber, G. L. (2001).@Principles of mobile communication (Vol. 2, p. 752).@Boston: Kluwer academic.@Yes$Ahmad, K., Kumar, S., & Shekhar, J. (2012).@Network Congestion Control in 4G Technology Through Iterative Server.@International Journal of Computer Science Issues, 9(4), 343.@Yes$Lee, H., Vahid, S., & Moessner, K. (2013).@A survey of radio resource management for spectrum aggregation in LTE-advanced.@IEEE Communications Surveys & Tutorials, 16(2), 745-760.@Yes$Popovski, P., Trillingsgaard, K. F., Simeone, O., & Durisi, G. (2018).@5G wireless network slicing for eMBB, URLLC, and mMTC: A communication-theoretic view.@Ieee Access, 6, 55765-55779.@Yes$Alraih, S., Shayea, I., Behjati, M., Nordin, R., Abdullah, N. F., Abu-Samah, A., & Nandi, D. (2022).@Revolution or evolution? Technical requirements and considerations towards 6G mobile communications.@Sensors, 22(3), 762.@Yes$Ho, T. M., Tran, T. D., Nguyen, T. T., Kazmi, S. M., Le, L. B., Hong, C. S., & Hanzo, L. (2019).@Next-generation wireless solutions for the smart factory, smart vehicles, the smart grid and smart cities.@arXiv preprint arXiv:1907.10102.@Yes$Yang, P., Xiao, Y., Xiao, M., & Li, S. (2019).@6G wireless communications: Vision and potential techniques.@IEEE network, 33(4), 70-75.@Yes$Nawaz, S. J., Sharma, S. K., Wyne, S., Patwary, M. N., & Asaduzzaman, M. (2019).@Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future.@IEEE access, 7, 46317-46350.@Yes$Rappaport, T. S., Xing, Y., Kanhere, O., Ju, S., Madanayake, A., Mandal, S., ... & Trichopoulos, G. C. (2019).@Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond.@IEEE access, 7, 78729-78757.@Yes$Vaigandla, K. K., Bolla, S., & Karne, R. (2021).@A survey on future generation wireless communications-6G: requirements, technologies, challenges and applications.@International Journal, 10(5).@Yes$Yaacoub, E., & Alouini, M. S. (2020).@A key 6G challenge and opportunity—Connecting the base of the pyramid: A survey on rural connectivity.@Proceedings of the IEEE, 108(4), 533-582.@Yes$Vaigandla, K. K., & Venu, D. N. (2021).@A survey on future generation wireless communications-5G: multiple access techniques, physical layer security, beamforming approach.@Journal of Information and Computational Science, 11(9), 449-474.@Yes$Khan, L. U., Yaqoob, I., Imran, M., Han, Z., & Hong, C. S. (2020).@6G wireless systems: A vision, architectural elements, and future directions.@IEEE access, 8, 147029-147044.@Yes$Mozaffari, M., Kasgari, A. T. Z., Saad, W., Bennis, M., & Debbah, M. (2018).@Beyond 5G with UAVs: Foundations of a 3D wireless cellular network.@IEEE Transactions on Wireless Communications, 18(1), 357-372.@Yes$Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021).@6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap.@Sensors, 21(5), 1709.@Yes$Banks, B., Harms, T., Sarvestani, S. S., & Bastianini, F. (2009).@A low-cost wireless system for autonomous generation of road safety alerts.@In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 (Vol. 7292, pp. 120-127). SPIE.@Yes$Sum, C. S., Harada, H., Kojima, F., & Lu, L. (2013).@An interference management protocol for multiple physical layers in IEEE 802.15.@4g smart utility networks. IEEE Communications Magazine, 51(4), 84-91.@Yes$Xue, Q., Ji, C., Ma, S., Guo, J., Xu, Y., Chen, Q., & Zhang, W. (2024).@A survey of beam management for mmWave and THz communications towards 6G.@IEEE Communications Surveys & Tutorials.@Yes$Salameh, A. I., & El Tarhuni, M. (2022).@From 5G to 6G—challenges, technologies, and applications.@Future Internet, 14(4), 117.@Yes$Dilli, R. (2022).@Design and feasibility verification of 6G wireless communication systems with state of the art technologies.@International Journal of Wireless Information Networks, 29(1), 93-117.@Yes$Bakken, D. E., Bose, A., Hauser, C. H., Whitehead, D. E., & Zweigle, G. C. (2011).@Smart generation and transmission with coherent, real-time data.@Proceedings of the IEEE, 99(6), 928-951.@Yes$Blogh, J. S., & Hanzo, L. L. (2002).@Third-generation systems and intelligent wireless networking: smart antennas and adaptive modulation.@John Wiley & Sons.@Yes$Janbi, N., Katib, I., Albeshri, A., & Mehmood, R. (2020).@Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments.@Sensors, 20(20), 5796.@Yes$Liu, D., Xu, Y., Wang, J., Chen, J., Yao, K., Wu, Q., & Anpalagan, A. (2020).@Opportunistic UAV utilization in wireless networks: Motivations, applications, and challenges.@IEEE Communications Magazine, 58(5), 62-68.@Yes$Portilla, J., Mujica, G., Lee, J. S., & Riesgo, T. (2019).@The extreme edge at the bottom of the Internet of Things: A review.@IEEE Sensors Journal, 19(9), 3179-3190.@Yes$Fraga-Lamas, P., Fernandez-Carames, T. M., Blanco-Novoa, O., & Vilar-Montesinos, M. A. (2018).@A review on industrial augmented reality systems for the industry 4.0 shipyard.@Ieee Access, 6, 13358-13375.@Yes$Bhat, J. R., & Alqahtani, S. A. (2021).@6G ecosystem: Current status and future perspective.@IEEE Access, 9, 43134-43167.@Yes
<#LINE#>A Study of 3D Printing Technology and M.L Algorithms for Enhanced Production<#LINE#>Kartik @Mandavia,Dhwanik @Patel <#LINE#>34-40<#LINE#>6.ISCA-RJEngS-2024-022.pdf<#LINE#>Department of Mechanical Engineering, Dharmsinh Desai University (DDU), Nadiad, India@Department of Mechanical Engineering, Dharmsinh Desai University (DDU), Nadiad, India<#LINE#>25/7/2024<#LINE#>12/11/2024<#LINE#>The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to open-loop systems, offering predictions on printed part properties but lacking quality assurance mechanisms. Conversely, certain closed-loop approaches focus on monitoring a single adjustable processing parameter to assess printed part properties. This study aims to investigate the influence of process parameters and control techniques on mechanical strength, tribology, and other output parameters of production. By providing a comprehensive overview of these developed methods, it aims to facilitate comparison regarding their characteristics, merits, and drawbacks, aiding in the selection of the most suitable approach for specific applications.<#LINE#>Feng, Q., Maier, W., & Möhring, H. C. (2022).@Application of machine learning to optimize process parameters in fused deposition modeling of PEEK material.@Procedia CIRP, 107, 1-8.@Yes$Zhen, H., Zhao, B., Quan, L., & Fu, J. (2023).@Effect of 3D printing process parameters and heat treatment conditions on the mechanical properties and microstructure of PEEK parts.@Polymers, 15(9), 2209.@Yes$Geng, P., Zhao, J., Gao, Z., Wu, W., Ye, W., Li, G., & Qu, H. (2021).@Effects of printing parameters on the mechanical properties of High-Performance Polyphenylene Sulfide Three-Dimensional Printing.@3D Printing and Additive Manufacturing, 8(1), 33–41. https://doi.org/ 10.1089/3dp.2020.0052@Yes$Motaparti, K. P., Taylor, G., Leu, M. C., Chandrashekhara, K., Castle, J., & Matlack, M. (2016).@Effects of build parameters on compression properties for ULTEM 9085 parts by fused deposition modeling.@@Yes$Bakhtiari, H.; Aamir, M.; Tolouei-Rad, M. (2023).@Effect of 3D Printing Parameters on the Fatigue Properties of Parts Manufactured by Fused Filament Fabrication: A Review.@Appl. Sci., 13, 904. https://doi.org/10.3390/app13020904@Yes$Tang, S. M., Cheang, P., AbuBakar, M. S., Khor, K. A., & Liao, K. (2004).@Tension–tension fatigue behavior of hydroxyapatite reinforced polyetheretherketone composites.@International Journal of fatigue, 26(1), 49-57.@Yes$Mura, A., Ricci, A., & Canavese, G. (2018).@Investigation of fatigue behavior of ABS and PC-ABS polymers at different temperatures.@Materials, 11(10), 1818.@Yes$Pruitt, L. A. (2000).@Fatigue testing and behavior of plastics.@In Mechanical Testing and Evaluation (pp. 758-767). ASM International.@Yes$Qayyum, H., Hussain, G., Sulaiman, M., Hassan, M., Ali, A., Muhammad, R., ... & Altaf, K. (2022).@Effect of Raster Angle and Infill Pattern on the In-Plane and Edgewise Flexural Properties of Fused Filament Fabricated Acrylonitrile-Butadiene-Styrene.@Applied Sciences, 12(24), 12690.@Yes$Gonabadi, H., Chen, Y., Yadav, A., & Bull, S. (2022).@Investigation of the effect of raster angle, build orientation, and infill density on the elastic response of 3D printed parts using finite element microstructural modeling and homogenization techniques.@The international journal of advanced manufacturing technology, 1-26.@Yes$H., Wang, T., Sun, J., & Yu, Z. (2018).@The effect of process parameters in fused deposition modelling on bonding degree and mechanical properties.@Rapid Prototyping Journal, 24(1), 80-92.@Yes$Seppala, J. E., Han, S. H., Hillgartner, K. E., Davis, C. S., & Migler, K. B. (2017).@Weld formation during material extrusion additive manufacturing.@Soft matter, 13(38), 6761-6769.@Yes$Ayrilmis, N. (2018).@Effect of layer thickness on surface properties of 3D printed materials produced from wood flour/PLA filament.@Polymer testing, 71, 163-166. https://doi.org/10.1016/j.polymertesting.2018.09.009.@Yes$Sood, A. K., R. K. Ohdar and S. S. Mahapatra (2012).@Experimental investigation and empirical modelling of FDM process for compressive strength improvement.@Journal of Advanced Research, 3(1), 81-90.@Yes$Sood, A. K., A. Equbal, V. Toppo, R. K. Ohdar and S. S. Mahapatra (2012).@An investigation on sliding wear of FDM built parts.@CIRP Journal of Manufacturing Science and Technology, 5(1), 48-54@Yes$Vijayaraghavan, V., A. Garg, J. S. L. Lam, B. Panda and S. S. Mahapatra (2014).@Process characterisation of 3D-printed FDM components using improved evolutionary computational approach.@The International Journal of Advanced Manufacturing Technology, 78(5-8), 781-793.@Yes$Vosniakos, G.-C., T. Maroulis and D. Pantelis (2007).@A method for optimizing process parameters in layer-based rapid prototyping.@Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(8), 1329-1340.@Yes$Equbal, A., A. K. Sood and S. S. Mahapatra (2011).@Prediction of dimensional accuracy in fused deposition modelling- a fuzzy logic approach.@International Journal of Productivity and Quality Management, 7(1), 22-43.@Yes$Sood, A. K., Ohdar, R. K., & Mahapatra, S. S. (2010).@Parametric appraisal of fused deposition modelling process using the grey Taguchi method.@Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 224(1), 135-145.@Yes$Li, Z., Z. Zhang, J. Shi and D. Wu (2019).@Prediction of surface roughness in extrusion-based additive manufacturing with machine learning.@Robotics and Computer-Integrated Manufacturing, 57, 488- 495.@Yes$Noriega, A., D. Blanco, B. J. Alvarez and A. Garcia (2013).@Dimensional accuracy improvement of FDM square cross-section parts using artificial neural networks and an optimization algorithm.@The International Journal of Advanced Manufacturing Technology, 69(9-12), 2301-2313.@Yes$Jiang, Z., Liu, Y., Chen, H., & Hu, Q. (2014).@Optimization of process parameters for biological 3D printing forming based on BP neural network and genetic algorithm.@In Moving Integrated Product Development to Service Clouds in the Global Economy, (pp. 351-358). IOS Press.@Yes$Mohamed, O. A., S. H. Masood and J. L. Bhowmik (2016). "Investigation of dynamic elastic deformation of parts processed by fused deposition modeling additive manufacturing." Advances in Production Engineering & Management 11(3): 227-238.@undefined@undefined@Yes$Bayraktar, Ö., G. Uzun, R. Çakiroğlu and A. Guldas (2017).@Experimental study on the 3D-printed plastic parts and predicting the mechanical properties using artificial neural networks.@Polymers for Advanced Technologies, 28(8), 1044-1051.@Yes$Vahabli, E. and S. Rahmati (2016).@Application of an RBF neural network for FDM parts’ surface roughness prediction for enhancing surface quality.@International Journal of Precision Engineering and Manufacturing, 17(12), 1589-1603.@Yes$Papazetis, G. and Vosniakos, G.C. (2019).@Mapping of deposition-stable and defect-free additive manufacturing via material extrusion from minimal experiments.@Int J Adv Manuf Technol, 100, 2207–2219. https://doi.org/10.1007/s00170-018-2820-1.@Yes
<#LINE#>A Systematic review on Recent Trends and Emerging - Circular Economy<#LINE#>Rinal @Mistry,Khyati @Vakharia <#LINE#>41-46<#LINE#>7.ISCA-RJEngS-2024-028.pdf<#LINE#>Department of Instrumentation and Control Engineering, Dharmsinh Desai University (DDU), Nadiad, India@Department of Instrumentation and Control Engineering, Dharmsinh Desai University (DDU), Nadiad, India<#LINE#>25/7/2024<#LINE#>13/10/2024<#LINE#>Our planet is facing numerous environmental and ecological problems due to increased economic activities and development processes. A major portion of these environmental problems are related to waste in production sectors such as textile, construction, and packaging. A significant part of the solid waste is non-biodegradable which induces hazardous chemical extraction processes. Burning of such waste products results into toxic gas emissions into the atmosphere. This has led to extreme pollution of the soil, rivers, and the sea. Due to the non-biodegradable nature of the waste, it takes hundreds of years to decompose naturally. However, the concept of circular economy shall be considered a high-yielding remedy to the existing issues associated with solid waste management. It can also strengthen the approach to sustainable development. In this study we provide a literature review on recent developments in the up cycling of different types of solid wastes, potential emerging technologies and new opportunities for a sustainable environment. The study presents strong association of circular economy, sustainable production and waste management. Also it offers a thorough view of the potential significance and current commercial applications of the developed biobased materials in relevant areas such as packaging, construction and textile. The review also discusses evolution of circular economy by ways of designing of new products and enacting of new regulations for industries to embrace it. The movement towards circular economy stems from aspirations to tackle urgent environmental issues, cultivates financial success, alleviate the effects of climate change, advance social justice and safeguard the welfare of current and future generations. It signifies a pattern change towards method of manufacturing and consumer behavior that are more fair, regenerative and sustainable.<#LINE#>Malinauskaite, J., Jouhara, H., Czajczyńska, D., Stanchev, P., Katsou, E., Rostkowski, P., ... & Spencer, N. (2017).@Municipal solid waste management and waste-to-energy in the context of a circular economy and energy recycling in Europe.@Energy, 141, 2013-2044.@Yes$Shanker, R., Khan, D., Hossain, R., Islam, M. T., Locock, K., Ghose, A., ... & Dhodapkar, R. (2023).@Plastic waste recycling: existing Indian scenario and future opportunities.@International Journal of Environmental Science and Technology, 20(5), 5895-5912.@Yes$Negrete-Cardoso, M., Rosano-Ortega, G., Álvarez-Aros, E. L., Tavera-Cortés, M. E., Vega-Lebrún, C. A., & Sánchez-Ruíz, F. J. (2022).@Circular economy strategy and waste management: a bibliometric analysis in its contribution to sustainable development, toward a post-COVID-19 era.@Environmental Science and Pollution Research, 29(41), 61729-61746.@Yes$Ozola, Z. U., Vesere, R., Kalnins, S. N., & Blumberga, D. (2019).@Paper waste recycling. circular economy aspects.@Environmental and Climate Technologies, 23(3), 260-273.@Yes$Ragossnig, A. M., & Schneider, D. R. (2019).@Circular economy, recycling and end-of-waste.@Waste Management & Research, 37(2), 109-111.@Yes$Rodić, L., & Wilson, D. C. (2017).@Resolving governance issues to achieve priority sustainable development goals related to solid waste management in developing countries.@Sustainability, 9(3), 404.@Yes$Jang, Y. C., Lee, G., Kwon, Y., Lim, J. H., & Jeong, J. H. (2020).@Recycling and management practices of plastic packaging waste towards a circular economy in South Korea.@Resources, Conservation and Recycling, 158, 104798.@Yes$Murti, Z., Soedjati, D., Barkah, A., & Rahardjo, P. (2022).@Review of the circular economy of plastic waste in various countries and potential applications in Indonesia.@In IOP Conference Series: Earth and Environmental Science (Vol. 1098, No. 1, p. 012014). IOP Publishing.@Yes$MacArthur, E. (2013).@Towards the circular economy.@Journal of Industrial Ecology, 2(1), 23-44.@Yes$Sharma, N. K., Govindan, K., Lai, K. K., Chen, W. K., & Kumar, V. (2021).@The transition from linear economy to circular economy for sustainability among SMEs: A study on prospects, impediments, and prerequisites.@Business Strategy and the Environment, 30(4), 1803-1822.@Yes$Arruda, E. H., Melatto, R. A. P. B., Levy, W., & de Melo Conti, D. (2021).@Circular economy: A brief literature review (2015–2020).@Sustainable Operations and Computers, 2, 79-86.@Yes$Sk, M. M., Qamar, S., & Sethy, T. (2023).@Solid Waste Management in Indian Perspectives: A Comprehensive Review.@Humanities and Social Science Studies, 12(1), No. 3, January – June 2023.@Yes$Mathur V. (2012).@Scope of recycling municipal solid waste in Delhi and NCR- integral review.@J. Manage. 5, 27–36.@Yes$Annepu, R. K. (2012).@Sustainable solid waste management in India.@Columbia University, New York, 2(01), 1-89.@Yes$Kumar, S., Smith, S. R., Fowler, G., Velis, C., Kumar, S. J., Arya, S., ... & Cheeseman, C. (2017).@Challenges and opportunities associated with waste management in India.@Royal Society open science, 4(3), 160764.@Yes$Wilson, D. C., Velis, C., & Cheeseman, C. (2006).@Role of informal sector recycling in waste management in developing countries.@Habitat international, 30(4), 797-808.@Yes$International Centre for Environment Audit and Sustainable Development (iCED), Jaipur, India in Collaboration with The Energy and Resources Institute (TERI), New Delhi (2022).@Municipal Solid Waste Management in India-A Compendium Report (17, 18).@@No$Sabha, R. (2019). Unstarred Question No. 1891.  Development, 2017, 18.@undefined@undefined@Yes$Sidique, S. F., Lupi, F., & Joshi, S. V. (2010). The effects of behavior and attitudes on drop-off recycling activities. Resources, conservation and recycling, 54(3), 163-170.@undefined@undefined@Yes$Ahluwalia, I. J., & Patel, U. (2018).@Solid waste management in India: an assessment of resource recovery and environmental impact (No. 356).@Working paper.@Yes$Report (2021).@Audit-report no 2 of the year 2021 of Government of Himachal Pradesh for the year ended 31st March.@https://cag.gov.in/en/audit-report/download /1141 73.@No$Report (2019).@Report no. 2 of 2019 - Social, Economic (other than PSUs).@Economic (PSUs), Revenue and General Sectors Government of Manipur: https://cag.gov.in@No$Singh, M. (2019).@Solid waste management in urban India: imperatives for improvement.@The journal of contemporary issues in business and government, 25(1), 87-92.@Yes$Ortega, F., Versino, F., López, O. V., & García, M. A. (2022).@Biobased composites from agro-industrial wastes and by-products.@Emergent Materials, 5(3), 873-921.@Yes$Blasi, A., Verardi, A., Lopresto, C. G., Siciliano, S., & Sangiorgio, P. (2023).@Lignocellulosic agricultural waste valorization to obtain valuable products: An overview.@Recycling, 8(4), 61.@Yes$Gontard, N., Sonesson, U., Birkved, M., Majone, M., Bolzonella, D., Celli, A., ... & Sebok, A. (2018).@A research challenge vision regarding management of agricultural waste in a circular bio-based economy.@Critical reviews in environmental science and technology, 48(6), 614-654.@Yes$Salazar Sandoval, S., Amenábar, A., Toledo, I., Silva, N., & Contreras, P. (2024).@Advances in the Sustainable Development of Biobased Materials Using Plant and Animal Waste as Raw Materials: A Review.@Sustainability, 16(3), 1073.@Yes$Reis, W. F., Barreto, C. G., & Capelari, M. G. M. (2023).@Circular economy and solid waste management: Connections from a bibliometric analysis.@Sustainability, 15(22), 15715.@Yes$Awino, F. B., & Apitz, S. E. (2024).@Solid waste management in the context of the waste hierarchy and circular economy frameworks: An international critical review.@Integrated Environmental Assessment and Management, 20(1), 9-35.@Yes$Mission, S. B. (2016).@Municipal solid waste management manual part ii: the manual.@Central Public Health and Environmental Engineering Organisation (CPHEEO) Ministry of Urban Development.@Yes