Series-1 (Mar. - Apr. 2026)Mar. - Apr. 2026 Issue Statistics
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Abstract: Simultaneous Localization and Mapping (SLAM) is a core capability for autonomous robots, drones, and embedded vision systems, but its front-end processing—including sensor data acquisition, feature extraction, and data association—demands high computational throughput with strict power constraints. This paper presents an energy-efficient FPGA-based architecture for SLAM front-end processing, optimized for real-time performance.....
Key Words: Energy-efficient computing, FPGA architecture, SLAM front-end, real-time processing, hardware acceleration, embedded systems, feature extraction, low-power design, parallel processing, autonomous navigation.
[1].
H. Durrant-Whyte And T. Bailey,“Simultaneous Localization And Mapping: Part I,”Ieee Robotics & Automation Magazine, Vol. 13, No. 2, Pp. 99–110, June 2025.
[2].
T. Bailey And H. Durrant-Whyte,“Simultaneous Localization And Mapping (Slam): Part Ii,”Ieee Robotics & Automation Magazine, Vol. 13, No. 3, Pp. 108–117, Sept. 2024.
[3].
M. Montemerlo, S. Thrun, D. Koller, And B. Wegbreit,“Fastslam: A Factored Solution To The Simultaneous Localization And Mapping Problem,”Proceedings Of The Aaai National Conference On Artificial Intelligence, 2021.
[4].
R. Smith, M. Self, And P. Cheeseman,“Estimating Uncertain Spatial Relationships In Robotics,” Autonomous Robot Vehicles, Springer, Pp. 167–193, 2019.
[5].
J. Engel, T. Schöps, And D. Cremers,“Orb-Slam: A Versatile And Accurate Monocular Slam System,” Ieee Transactions On Robotics, Vol. 31, No. 5, Pp. 1147–1163, Oct. 2023
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| Paper Type | : | Research Paper |
| Title | : | Research On Infrared Fault Detection Of Substation Equipment Based On Deep Learning |
| Country | : | China |
| Authors | : | Ruxin Gao || Hao Ding |
| : | 10.9790/2834-2102010513 ![]() |
Abstract: The reliable operation of power systems cannot be achieved without efficient and precise operation and maintenance methods. Based on the problems existing in actual operation and maintenance, and starting from the demand orientation, this paper focuses on the characteristics of low efficiency, reliance on judgment experience, and uncertainty of manual inspection in substations, and proposes a target detection method based on deep learning and YOLOv7. This method is an improvement on the traditional target detection. Through ablation and comparison experiments, the improved model can enhance detection accuracy, reduce the network model, and increase detection speed compared with the traditional model.....
Key Words: Substation inspection Data augmentation Bidirectional feature pyramid network "Lightweight; Defect detection.
[1]
Song, Y. , Deng, P. , Cai, M. , & Chen, F. . (2014). The Application Of Inspection Robot In Substation Inspection.Springer, Cham.
[2]
Rong, X. , & Liu, Y. . (2024). Research On The Cultivation Of Artificial Intelligence Professionals In Vocational Colleges.Journal Of Education And Educational Research,10(2), 251-256.
[3]
Vilakazi, C. B. , & Marwala, T. . (2006). Bushing Fault Detection And Diagnosis Using Extension Neural Network.IEEE.
[4]
Mete, M. , Sakoglu, U. , Spence, J. S. , Devous, M. D. , Harris, T. S. , & Adinoff, B. . (2016). Successful Classification Of Cocaine Dependence Using Brain Imaging: A Generalizable Machine Learning Approach.Bmc Bioinformatics,17(13), 357.
[5]
Xiao, L. , Chen, G. , Man, Y. , Xiao, W. , Yuan, L. , & Tao, Q. . (2024). Belt Abnormal High-Temperature Detection Algorithm Based On Improved Yolov7-Tiny.2024 IEEE 7th Information Technology, Networking, Electronic And Automation Control Conference (ITNEC), 936-941.
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Abstract: ZnS thin films were synthesized on varying molar concentrations (MC) (0.05-0.20M) using Chemical Bath Deposition (CBD) technique and studied the growth surface morphology, crystal structures and optical properties using FESEM, XRD and UV-vis-spectrophotometer. The surface structures were observed with regular distribution of ZnS nanoparticles with particle sizes 6.7nm – 11.54nm and were confirmed with XRD results. The crystal growth showed depended on molar concentration of Zn+2 and S-2 ions. Maximum peak in the XRD spectra....
Key Words: ZnS thin films, molars, XRD, FESEM, optical absorption
[1].
Email Roduner, Nanoscopic Materials-Size Dependent Phenomena, Institute Of Physical Chemistry, University Of Stuttgari, Germany, Royal Society Of Chemistry, 2006, 1.1
[2].
Pawan Kumar, Arvind Kumar, P N Dixit And T P Sharma, Optical, Structural And Electrical Properties Of Zinc Sulphide Vacuum Evaporated Thin Films, Indian Journal Of Pure & Applied Physics, 2006, 44 690
[3].
D K Gupta, M Verma, K B Sharma And N S Sexena, Synthesis, Characterization And Optical Properties Of Cdse/Cds And Cdse/Zns Core Shell Nanostructures, Indian Journal Of Pure & Applied Physics, 2017, 55 113-121
[4].
Jyoti P Borah, J Barman, K C Sarma, Structural And Optical Properties Of Zns Nanoparticles, Chalcogenide Letters, 2008, 5 (9) 201
[5].
Jones P L, Moore D And Smith D C, A Technique For The Growth Of Single Crystal Films Of Zinc Sulphide On (100) Gallium Arsenide By Radio Frequency Sputtering, Journal Of Physics E 1976, 312.
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Abstract: Background: Satellite communication systems operating at microwave and millimeter-wave frequencies are significantly affected by atmospheric propagation impairments, particularly rain attenuation. As Mongolia plans to launch its national satellite communication infrastructure at the 113.6°E geostationary orbital position, accurate estimation of rain-induced signal degradation becomes essential for reliable link design and system planning. Materials and Methods: This study evaluates rain attenuation for satellite communication links across Mongolia using internationally standardized propagation models recommended by the International Telecommunication Union Radiocommunication Sector (ITU-R). The....
Key Words: Rain attenuation; Satellite communication; ITU-R propagation model; Radio wave propagation; C-band; Ku-band; Ka frequencies
[1].
Mutagi, R. N (2016). Satellite Communication Principles And Applications (1st Ed., Pp. 42-48). In India By Oxford University Press
[2].
International Telecommunication Union Radiocommunication Sector, Recommendation ITU-R P.618-13: Propagation Data And Prediction Methods Required For The Design Of Earth–Space Telecommunication Systems, Geneva, Switzerland, 2017
[3].
International Telecommunication Union Radiocommunication Sector, Recommendation ITU-R P.837-7: Characteristics Of Precipitation For Propagation Modelling, Geneva, Switzerland, 2017.
[4].
International Telecommunication Union Radiocommunication Sector, Recommendation ITU-R P.838-3: Specific Attenuation Model For Rain For Use In Prediction Methods, Geneva, Switzerland, 2005.
[5].
International Telecommunication Union Radiocommunication Sector, Recommendation ITU-R P.839-4: Rain Height Model For Prediction Methods, Geneva, Switzerland, 2013.
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Abstract: In contemporary electric drive systems, where high efficiency, lower current consumption, and enhanced torque output are crucial, the design and performance optimization of three-phase induction motors for traction applications have grown in importance. The results of this study's application of the multi-objective optimization (MOO) approach to induction motor design are contrasted with those of conventional motor design, single-objective optimization (SOO), and experimental measurements. Important performance metrics, such as output power, torque, efficiency..
Key Words: Three-Phase Induction Motor, Multi-Objective Optimization, Traction Applications, Motor Design
[1] Okoro, O. I. Steady State And Transient Analysis Of Induction Motor Driving A Pump Load. Nigerian Journal Of Technology, 22(1), 46-53.2003
[2] Eke, A., Fischer, G., David, A., Ekpenyong, O., & E.J, Akpama. The Effect Of Rotor And Stator Slot Numbers On The Performance Of Three-Phase Induction Motors Used For Transport Application. IOSR Journal Of Electrical And Electronics Engineering (IOSR-JEEE). Volume 19, Issue 4 Ser. 1 (July. – August. 2024), PP 01-09. 2024
[3] Riviére N., M. Villani And M. Popescu, "Optimization Of A High-Speed Copper Rotor Induction Motor For A Traction Application," IECON 2019 - 45th Annual Conference Of The IEEE Industrial Electronics Society, Lisbon, Portugal, 2019, Pp. 2720-2725, Doi: 10.1109/IECON.2019.8927627
[4] Zhang M, Guo L., And H. Wang, "AI-Based Torque Estimation For Induction Motors Using LSTM Networks," *IEEE Transactions On Industrial Informatics*, Vol. 18, No. 3, Pp. 1950–1960, 2022.
[5] Schofield N., A. Boglietti, And A. Cavagnino, "Thermal Analysis Of Traction Motors: Cooling Technologies For High Torque Density Machines," *IEEE Transactions On Industry Applications*, Vol. 48, No. 5, Pp. 1565–1574, 2012.
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Abstract: The goal of this work is to show how to design and build a mobile robotic rover that has a controlled electromagnetic pulse (EMP) unit built in. This will help reduce threats from a distance in dangerous places. The main goal of the system is to limit the length of time that people are exposed to dangerous situations by making it possible for a robotic rover with a two-degree-of-freedom (2-DOF) robotic arm to work wirelessly. EMP may hit the target with perfect accuracy with the arm. The system uses microcontrollers to control the movement of the rovers, the activation of the arms, and the triggering of EMP.......
Key Words: Electromagnetic Pulse (EMP), Mobile Robotic Rover, Wireless Control System, 2-DOF Robotic Arm, Non-contact Electronic Disruption.
[1] D. Kumar, N. R. Prakash, And S. Singh, “Electromagnetic Pulse Sensor Design And Analysis,” Iete Journal Of Research, Vol. 68, No. 3, Pp. 2069–2078, 2019.
[2] J. H. Kim And S. W. Jeong, “Analysis Of Electromagnetic Pulse Effects On Electronic Systems,” Ieee Transactions On Electromagnetic Compatibility, Vol. 61, No. 5, Pp. 1354–1362, 2019.
[3] Y. Zhou Et Al., “Lightning-Induced Electromagnetic Pulse Effects On Electrical Systems,” Electric Power Systems Research, Vol. 170, Pp. 234–242, 2019.
[4] A. Gupta And R. Kumar, “Design Of Wireless Mobile Robotic Systems For Hazardous Environments,” Ieee Access, Vol. 8, Pp. 145000–145012, 2020.
[5] M. Bjelica Et Al., “Autonomous Mobile Robots For Industrial And Safety Applications,” Ieee Access, Vol. 8, Pp. 145678–145689, 2020.
