In smart manufacturing systems, it is crucial to diagnose defects as products pass along conveyor belts using automated computer vision systems. Compared to traditional manual defect diagnosis methods, this approach reduces time loss, high costs, and operator errors. This study proposes a fast Siamese network supported by contrastive learning and attention mechanisms for the detection and classification of fabric defects. A Channel Attention module is integrated during the feature extraction phase to ensure the network focuses on key regions. Thanks to the Siamese structure, samples belonging to the same class are brought closer together in the feature space, while different classes are distanced from each other............

[1]. A. R. R. Talab and M. H. Shakoor, "Fabric classification using new mapping of local binary pattern," 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), Fez, 2018, pp. 1-4, doi: 10.1109/ISACV.2018.8354026.
[2]. Chitra G M, Shylaja S S, Vijay Ram E, Naresh Sr, Saakshi S, Mohnish S C. Analysis of Image Filters for Binary Fabric Classification, International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Volume 11 Issue 06 June 2024, pp: 35-39, 2024.
[3]. Kailas, A. S., Yemekar, A., & Ugarakhod, R. N. (2025, December). Enincv3-Enhanced Deep Learning Model for Binary Image Classification of Fabric Defects. In 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 454-459). IEEE.
[4]. Jerusha, J. A., & Kumar, C. A. (2025). Fabric defect detection: a hybrid CNN-LSTM approach using TGANet for improved classification and traceability. Industria Textila, 76(3), 387-396.
[5]. Geze, R. A., & Akbaş, A. (2023). Detection and classification of fabric defects using deep learning algorithms. Politeknik Dergisi, 27(1), 371-378.

This work develops an analytical framework based on classical laminated plate theory to characterize the vibroacoustic behavior of finite, simply supported, orthotropic double-panel composite structures enclosing an air cavity. The coupled system is subjected to simultaneous thermal fields and harmonic wave excitations. By leveraging the modal decomposition technique, the governing equations are solved using a double Fourier series approach to map the acoustic insulation metrics of the panel........

[1]. W. Kropp and E. Rebillard, "On the air-borne sound insulation of double wall constructions," Acta Acustica United with Acustica, vol. 85, pp. 707–720, 1999.
[2]. M. Villot, C. Guigou, and L. Gagliardini, "Predicting the acoustical radiation of finite size multi-layered structures by applying spatial windowing on infinite structures," Journal of Sound and Vibration, vol. 245, pp. 433–455, 2001.
[3]. R.-J. M. Craik, "Non-resonant sound transmission through double walls using statistical energy analysis," Applied Acoustics, vol. 64, no. 3, pp. 325–341, 2003.
[4]. J.-P. Carneal and C.-R. Fuller, "Active structural acoustic control of noise transmission through double panel systems," AIAA Journal, vol. 33, no. 4, pp. 618–623, 1995.
[5]. P. Carneal and C. R. Fuller, "An analytical and experimental investigation of active structural acoustic control of noise transmission through double panel systems," Journal of Sound and Vibration, vol. 272, pp. 749–771, 2004.

The project focuses on the Design and Development of Musical Toy using Shape Display Board. The design of the product aims to provide a musical toy for children between the ages of 3 – 5 Years to promote Cognitive Development. Factors like safety of the child, ease of use are also considered while designing the product. The Aim and objective of the design of the musical toy is to incorporate suggestions and improvements of the musical toy by understanding the problems faced by the child and the parents in the existing musical toys. The process of designing incorporates multiple steps which include literature study, material study, case study, location study, user study, market study, patent study & working of the toy to obtain the final product..........

[1]. Transparencymarketresearch.com. 2021. Music Toys Market Trends and Research Insights by 2027. [online] Available at: <https://www.transparencymarketresearch.com/music-toys-market.html> [Accessed 14 May 2021].
[2]. Morgan, T., 2021. 5 Reasons Why Musical Instruments for Kids Are Important - Squoodles Ltd. [online] Squoodles.co.nz. Available at: <https://www.squoodles.co.nz/musical-instruments/5-reasons-musical-instruments-kids-important/> [Accessed 14 May 2021].
[3]. Make it Wood. 2021. Six advantages of wooden toys for children - Make it Wood. [online] Available at: <https://makeitwood.org/articles/6-advantages-of-wooden-toys-for-children.cfm> [Accessed 14 May 2021].
[4]. Metalpress.onlinemetals.com. 2021. Musical Instruments Made of Metal | The Metal Press by onlinemetals.com. [online] Available at: <https://metalpress.onlinemetals.com/musical-instruments-metal/> [Accessed 14 May 2021].
[5]. MURO. 2021. Sustainable natural rubberwood baby toys | MURO®. [online] Available at: <https://mymuro.com/pages/why-we-use-rubberwood> [Accessed 14 May 2021].

Nozzles installed in pressure vessels introduce local geometric discontinuities that disturb the nominal membrane stress distribution of the vessel shell. These disturbances arise from the shell opening, nozzle stiffness, reinforcement details, weld attachments, and externally applied loads transmitted through connected piping. Although high localized stresses may develop in the vicinity of the nozzle-to-shell junction, classical shell theory predicts that their influence diminishes rapidly with increasing distance from the discontinuity. This paper examines the attenuation of nozzle-induced stress disturbances in both cylindrical and spherical pressure-vessel shells, including unreinforced and pad-reinforced nozzle configurations..........

[1] American Petroleum Institute, & American Society of Mechanical Engineers. (2021). API 579-1/ASME FFS-1: Fitness-for-service. American Petroleum Institute.
[2] American Society of Mechanical Engineers. (2025). ASME boiler and pressure vessel code, Section VIII, Division 2: Alternative rules. ASME.
[3] Bijlaard, P. P. (1954). Stresses from local loadings in cylindrical pressure vessels. Transactions of the ASME, 77, 805–816.
[4] British Standards Institution. (2024). PD 5500: Specification for unfired fusion welded pressure vessels. BSI.
[5] European Committee for Standardization. (2025). EN 13445-3: Unfired pressure vessels—Part 3: Design. CEN.

Education is an essential element for achieving global sustainability. Sustainable development is defined as development that satisfies current demands without compromising future generations' ability to meet their own needs. The fundamental premise behind sustainable development is a set of economic, social, and environmental conditions that we all share. Education for sustainability makes use of the entire educational system to teach students what they need to do to help alter our societies and attain a sustainable future. Sustainable development should also acknowledge and honor past generations..........

[1]. American Psychological Association. (2020, February). Building your resilience.https://www.apa.org/topics/resilience/building-your-resilience
[2]. Brundtland Commission. (1987). Retrieved from http://en. wikipedia. org/wiki /Brundtland _ Commission
[3]. Cherry, K. (2022). What is resilience? Very well mind. https://www.verywellmind.com/whatis-resilience-2795059
[4]. Dixit, Mohit & Dixit, Khushboo. (2024). New Education Policy 2020: Role of Teachers & Parents to Promote Maximum Potential Development of Students. https://www.researchgate.net/publication/384356897_New_Education_Policy_2020_Role_of_Teachers_Parents_to_Promote_Maximum_Potential_Development_of_Students [5]. Dugan, T. F., & Coles, R. (Eds.). (1989). The child in our times: Studies in the development of resiliency. (pp. xv, 224). Brunner/Mazel.

This study presents a comparative analysis of machine learning models which are Logistic Regression, Random Forest, and Gradient Boosting for the detection and prevention of fraud in telecommunication billing systems. Fraudulent activities such as SIM box fraud, call masking, and subscription fraud threaten the financial sustainability of telecommunication network operators, leading to revenue leakage. A simulated Call Detail Record (CDR) dataset of 1000 billing records obtained from Kaggle was used. Data preprocessing, feature engineering, and random oversampling were applied to address class imbalance in the dataset..........

[1] Asenahabi, B. M. (2019). Basics of research design: A guide to selecting appropriate research design. International Journal of Contemporary Applied Researches, 6(5): 2308–1365.
[2] Aziz, Z. and Bestak, R. (2024). Insight into anomaly detection and prediction and mobile network security enhancement leveraging K-means clustering on call detail records. Sensors, 24(6): 1710–1716.
[3] Balmer, R. E., Levin, S. L. and Schmidt, S. (2020). Artificial intelligence applications in telecommunications and other network industries. Telecommunications Policy, 44(6): 101970–101977.
[4] Bansal, U., Bharatwal, S., Bagiyam, D. S. and Kismawadi, E. R. (2024). Fraud detection in the era of AI: Harnessing technology for a safer digital economy. Advances in Finance, Accounting, and Economics, 7: 143–164.
[5] Becker, J. et al. (2023). Random forest for classification and fraud detection in financial data. Journal of Machine Learning Research, 24(1): 1–30.

Integrating electric vehicles (EVs) into the power grid will presents numerous opportunities and challenges. A high electric vehicles (EV) uptake may contribute to the reduction of CO2 emissions, but it could presents distribution network operators (DNOs) with a number of challenges. This paper present these challenges such as transformer and feeder loading, power quality and voltage unbalance that could hinder effective integration of electric vehicles. Possible solutions are suggested to address these challenges. A case study that investigates the impact of EVs charging on the network was studied to determine the capacity of three different networks to accommodate EVs charging without violating the permissible network voltage limit.

[1] Sudev V., Sindhu M. R. State-of-the- art and future trends in electric vehicle charging infrastructure: a review Eng. Sci. Technol.,62, 2025
[2] Solanke, T.U., Ramachandaramurthy, V. K., Ying, J. Y., Pasupuleti, J., Kasinathan, P. and Rajagopalan, A., 2020. A review of strategic charging–discharging control of grid-connected electric vehicles. Journal of Energy Storage, 28, article ID 101193.
[3] Meena, N.K., Yang, J. and Zacharis, E., 2019. Optimisation framework for the design and operation of openmarket urban and remote community microgrids. Applied Energy, 252, article ID 113399.
[4] Yun S., Woo J., Kwak K, Unlocking peak shaving: how EV driver heterogeneity shapes V2G potential Energy, 329, 2025
[5] Tie, S.F.; Tan, C.W. A review of energy sources and energy management system in electric vehicles. Renew. Sustain. Energy Rev. 2013, 20, 82–102, doi:10.1016/j.rser.2012.11.077.

Dynamic wireless power transfer (DWPT) allows an electric vehicle (EV) to recharge its battery while in motion, by embedding transmitter coils beneath the road surface that couple inductively with a receiver coil mounted on the vehicle underbody. Most DWPT research to date, and nearly all operating pilot deployments, have been built around highway or fixed-route transit corridors, where vehicles travel at sustained speed over long, uninterrupted stretches. Urban and residential roads present a fundamentally different operating envelope: short charging segments, frequent stop-start motion at intersections and driveways, low and variable speed, and tight capital budgets relative to national highway programmes..........

[1] Liu, Q., Hu, S., Angeloudis, P., Wang, Y., Zhang, L., Yang, Q., & Li, Y. (2021). Dynamic wireless power transfer system for electric‐powered connected and autonomous vehicle on urban road network. IET Intelligent Transport Systems, 15(9), 1153–1166. Portico. https://doi.org/10.1049/itr2.12087
[2] Colombo, C. G., Chen, J., Borgosano, S., & Longo, M. (2026). Inductive Wireless Power Transfer for Electric Vehicles: Technologies, Standards, and Deployment Readiness from Static Pads to Dynamic Roads. Future Transportation, 6(2), 77. https://doi.org/10.3390/futuretransp6020077
[3] Ngo, H., Kumar, A., & Mishra, S. (2020). Optimal positioning of dynamic wireless charging infrastructure in a road network for battery electric vehicles. Transportation Research Part D: Transport and Environment, 85, 102385. https://doi.org/10.1016/j.trd.2020.102385
[4] S, Y., R, N., Sathik Mohamed Ali, J., & Almakhles, D. (2022). A Comprehensive Review of the On-Road Wireless Charging System for E-Mobility Applications. Frontiers in Energy Research, 10. https://doi.org/10.3389/fenrg.2022.926270
[5] Wang, H., & Cheng, K. W. E. (2021). An Improved and Integrated Design of Segmented Dynamic Wireless Power Transfer for Electric Vehicles. Energies, 14(7), 1975. https://doi.org/10.3390/en14071975

This study investigates the comparative corrosion behavior of mild steel and carbon steel in fresh water and salt water environments of the Niger Delta. The experiment was conducted using weight loss measurements, visual inspection, and corrosion rate calculations, to evaluate material degradation over a defined exposure period of 4320 days. Prepared mild and carbon steel coupons were immersed in fresh and salt water bodies. The results revealed that the average corrosion rate of mild steel are 0.258mm/yr and 0.425mm/yr and that of carbon steel are 0.192mm/yr and 0.325mm/yr in fresh water and salt water environments respectively..........

[1] Afolabi, A.S. (2007). Corrosion of Carbon Steel in Soil Environment. Leonardo Electronic Journal of Practices and Technologies, Issue 11, 127–136. [2] Alo Oluwaseun, A. & Ibitoye Simeon A. (2015). Effect of Induced Stress on the Corrosion Rate of Medium Carbon Steel in Saline Environment. Journal of Chemical Engineering and Materials Science, Vol. 6(4), 52-59. [3] Amadi, T. N., Amadi, S. A. & Wami, E. N. (2010). Biocorrosion of Mild Steel in Stagnant and Flowing Fresh Water Stream Conditions. Journal of the Nigerian Society of Chemical Engineers, 25(1&2), 95 – 108. [4] Amadi, T. N., Izionworu, V. O., & Nwambo, P. L. (2026). Investigation of The Inhibitive Properties of Mangifera Indica (Mango) And Annona Muricata (Soursop) Blend Leaves Extract on Carbon Steel in 0.5M H2SO4. Iconic Research and Engineering Journals, Volume 9 Issue 9, 4-12. [5] Amadi, T.N, Onyekwelu, C., Wami, E.N., & Goodhead, T.O. (2026). Comparative Analysis of Mild and Carbon Steel Corrosion in Palm Oil Mill Effluent, International Research Journal of Advanced Engineering and Science, Volume 11, Issue 1, 63-68.

In recent years, the rapid increase in lifestyle-related health disorders, long working hours, and aging populations has made continuous health monitoring a critical requirement. Traditional healthcare systems primarily depend on periodic medical check-ups and manual supervision, which are often insufficient for detecting sudden or critical changes in physiological conditions. Vital parameters such as heart rate, blood oxygen saturation (SpO2), and body temperature act as key indicators of a person's health, where abnormal variations may indicate cardiac irregularities, respiratory disorders, infections, or stress-related issues. Additionally, accidental falls pose a serious safety risk, particularly for elderly individuals and patients living alone, where delayed medical assistance can result in severe consequences..........

[1]. M. Ahmed et al., "Wearable health monitoring system using sensor nodes and microcontroller," in Proc. Int. Conf. Biomedical Engineering and Health Informatics, 2018, pp. 45–49.
[2]. A. Bhatia and M. Sood, "IoT-enabled remote patient monitoring framework with cloud connectivity," Int. J. E-Health and Medical Communications, vol. 9, no. 2, pp. 112–125, Apr. 2019.
[3]. L. Chen et al., "Pulse oximeter-based monitoring system for SpO2 and heart rate measurement," in Proc. IEEE Int. Conf. Wearable and Implantable Body Sensor Networks, 2019, pp. 203–208.
[4]. R. Kumar et al., "Accelerometer-based fall detection using threshold-based motion analysis," Sensors and Actuators A: Physical, vol. 285, pp. 47–55, Sep. 2019.
[5]. Y. Liu et al., "Integrated vital sign monitoring and activity recognition using multiple wearable devices," IEEE Trans. Mobile Computing, vol. 18, no. 7, pp. 1562–1575, Jul. 2019.