http://nopr.niscpr.res.in/handle/123456789/63169 Sun, 11 Oct 2026 12:09:35 GMT 2026-10-11T12:09:35Z http://nopr.niscpr.res.in/handle/123456789/63180 Title: Surface Modification of Al-7075 Alloy by SiC-Cu Ceramic Electrode in Electrical Discharge Coating Authors: Ranjan, Lokesh Kumar; Chakraborty, Sujoy; Mandal, Uttam Kumar; Kar, Siddhartha; Meher, Arabinda Abstract: 2023The present study aims to enhance and evaluate Electrical Discharge Coating (EDC) on Al-7075 alloy using SiC-Cu ceramic electrode. The study analyses the impact of input parameters such as current, composition and compaction load on EDC responses, including Material Deposition Rate (MDR), Tool Wear Rate (TWR) and Surface Roughness (SR). Trial tests were performed using Taguchi's L9 experimental design, and thereafter, Grey Relational Analysis (GRA) and technique for order preference by similarity to an ideal solution (TOPSIS) were implemented to optimize all the responses. The experiments were optimized to achieve a higher MDR, lower TWR and lower SR. Analysis of variance was also employed to statistically investigate the experimental data and determine the contribution of each parameter to achieve better results. Optimum condition was achieved with a compaction load of 5 ton, current 6 A and composition 50:50, using both the GRA and TOPSIS methods. At the optimum condition, there was an improvement in GRA from 0.5603 to 0.7778, while TOPSIS showed an improvement from 0.2418 to 0.7659. Further, the morphology of the coated surface was investigated using scanning electron microscopy images and X-ray diffraction analyses, which confirmed the migration of SiC-Cu from the tool materials. Page(s): 5-14 Mon, 01 Jan 2024 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/63180 2024-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/63179 Title: XPM Induced Filter Free Multi-Wavelength Conversion Exploiting Hybrid Multiplexing Employing Sagnac Effect and Circulator in DWDM Networks Authors: Parashuram; Kumar, Chakresh Abstract: In this paper, XPM based filter free wavelength conversion is proposed and demonstrated using Sagnac interferometric loop, circulator, asymmetric Mach-Zehnder modulators and multiplexers. Two input NRZ signals of different wavelengths (1551 nm and 1553 nm) each with a data rate of 100 Gb/s are simultaneously converted to a target wavelength of 1555 nm. In contrast to other interferometry, using a common route where two light beams propagate in opposite directions, the Sagnac interferometer uses the interference created by superimposing light waves to extract information. Sagnac effect is exploited to isolate the wavelengths as a frequency selector and to provide phase shift between co- and counter propagating signals. Proposed system is investigated with or without using the optical band passes filters and compared with the back-toback (b2b) signal. Simulation results reveals that filter less conversion obtained higher extinction ratio (> 20 dB) for both 1551 nm to 1553 nm and 1553 to 1555 nm conversion using Sagnac effect. Power penalties are found to be less than 0.5 dB for the conversion of 1551 nm to 1555 nm and less than 0.4 dB for the conversion of 1553 nm to 1555 nm. To the best of our knowledge, this is a novel technique that provides filter-free wavelength conversion, multicasting, and a reduction in system complexity without requiring separate phase control. Even at low power, the lack of filters lowers bit error rate and insertion losses. Filter-free wavelength conversion lowers complexity, increases scalability, and is more stable. Page(s): 15-24 Mon, 01 Jan 2024 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/63179 2024-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/63178 Title: Cryptoanalysis of Simple Substitution Ciphers with Genetic Algorithms Authors: Savić, Dragan; Milić, Petar; Mazinjanin, Borislav Abstract: Recent advances in the field of machine learning have once again raised the question whether computers can be trained to perform cryptanalytic tasks. In this paper, we identify the relationship between the machine learning and cryptanalysis with special attention on the genetic algorithms as a heuristic optimization method inspired by evolution processes in nature. We have indicated the consequences that new insights of machine learning may have on the reformulation of the practical criteria of secrecy in the synthesis of information security systems. Through the paper, we describe the approach based on genetic algorithms in order to confirm which machine learning algorithms are most suited for the purpose of the cryptanalysis and consequently to verify resistance of encryption algorithms to cryptanalysis. Page(s): 25-33 Mon, 01 Jan 2024 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/63178 2024-01-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/63177 Title: Modeling and Control of Non-Linear CSTH Process using Hybrid Optimized Technique Authors: Dhanasekar, R; Vijayachitra, S Abstract: The highly non-linear Continuous Stirred Tank Heater process (CSTH) is modeled using appropriate process dynamics by considering multivariable factors in all chemical industries using Multi-Input Multi-Output (MIMO) system to prepare an extremely saturated solution with the required conditions. The model's transfer function and state space are created by applying the first principle method to successfully regulate the Level and Temperature of the CSTH process using specified time-domain parameters and a suitable conventional Proportional Integral Derivative (PID) controller. The Ziegler-Nichols method aims to estimate gain factor for controller. However, more effective and efficient control of the process is still required. Advanced optimization approaches such as Genetic Algorithm, Pattern Search, Fmin Search, and Hybrid Optimization Algorithm are more commonly used to fine-tune the controller's gain factor. Finally, a quantitative example is provided using a MATLAB simulation result to highlight the benefits and applicability of the proposed approach. The obtained result is validated by the experimental data from the real-time Process. Page(s): 34-45 Mon, 01 Jan 2024 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/63177 2024-01-01T00:00:00Z