http://nopr.niscpr.res.in/handle/123456789/61510 2026-10-10T20:33:41Z http://nopr.niscpr.res.in/handle/123456789/61520 Title: Investigation of the Trail Environment to Enhance the Efficiency of the Solar Cell through Pre-Installation Study Authors: PriyaDarshani, Manu; Shaw, Ritu; Sharma, Rishi Abstract: This research investigates the performance of solar photovoltaic modules in real-world climatic conditions at various locations in India using MATLAB simulation. The study utilizes a single-diode model and a detailed simulation of a solar PV module to analyze the P-V and I-V characteristics of the module on a monthly basis. The month-wise power output is evaluated in relation to temperature and solar irradiance under various weather conditions. To model the PV module, the input parameters such as solar irradiance and temperature were first determined, and an appropriate PV panel model was selected based on the complexity and accuracy required. The PV panel model was then set up in MATLAB and run to generate the output data. The simulated results were compared to the verified data sheet of the JAM60S10-350/MR module, demonstrating that the simulation accurately represents the PV solar module's performance curve. The study aims to identify the most efficient locations for installing solar PV modules for optimal efficiency. Different models such as single-diode, two-diode, and PV system model can be used to model PV panels depending on the specific conditions being simulated and the level of accuracy required. Page(s): 307-315 2023-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/61519 Title: DeeR-Gen: A Pseudo Random Number Generator for Industry 4.0 / IoT Authors: Gupta, Deena Nath; Kumar, Rajendra Abstract: Random binary bit sequences or random numbers are very useful in cryptographic applications. These sequences are used as a key in different encryption algorithms. Also, they can be used as random nonce in many mutual authentication protocols. Because these sequences are used at very basic level in cryptographic applications there generation should be fast, secure, and energy-efficient. Particularly in the case of Industry 4.0/IoT, a lightweight implementation is much needed along with high security and rapid production. The earlier generators of random numbers used the true source of randomness but the same is not feasible in current scalable Industry 4.0/IoT scenario. Many works have already been done to generate random numbers through PRNGs. Some examples are J3Gen, Warbler, LAMED, and ARROW. However, it is essential to bring a completely programmed, highly secured, energy efficient and a fast paced algorithm for random number generation. In this paper, a novel algorithm, named DeeR-Gen, which works with one multiplexer and two NLFSRs is presented. It requires only 245 GE on ASIC, lowest hardware requirement till date. Proposed methodology has also been tested for EPC test of randomness. The authors found the proposed algorithm secure and energy-efficient to be used in any lightweight cryptographic algorithm. Page(s): 316-321 2023-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/61518 Title: Performance Enhancement of MANET based on Cross-layered Reconfigurable Hierarchical Routing Protocol Authors: Balamurugan, Kavitha; Pitchai, R; P, Supraja; Dhanalakshmi, R Abstract: High speed data communication is the demanding factor in both commercial and defence applications. Several algorithms are proposed to support the high-speed data exchange while ensuring the quality, performance and reliability. However, there is still a gap, citing various compatibility issues with variety of transceiver technologies. This paper proposes a novel algorithm for enhancing the performance of mobile ad-hoc networks using Free-Space Optics (FSO). The FSO has the natural ability to the interference while capable of large bandwidth and excellent compatibility. Low power and adaptability are the features with which it has contributed to the latest technologies like storage area network, wireless area network etc. The proposed work uses optical spheres with a multi-transceiver system and a cross-layered reconfigurable routing mechanism. Parameters such as delay, residual energy, throughput, and drop are verified for the Crosslayered Reconfigurable Hierarchical Routing Optical Sphere (CRHROS) protocol for varying numbers of optical transceivers. The proposed work also compares the performance of two traffic sources, Constant Bit Rate (CBR) and Variable Bit Rate (VBR), for the proposed algorithm. Page(s): 322-327 2023-03-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/61517 Title: A Fast-Dehazing Technique using Generative Adversarial Network model for Illumination Adjustment in Hazy Videos Authors: Naidu, T M Praneeth; Sekhar, P Chandra Abstract: Haze significantly lowers the quality of the photos and videos that are taken. This might potentially be dangerous in addition to having an impact on the monitoring equipment' dependability. Recent years have seen an increase in issues brought on by foggy settings, necessitating the development of real-time dehazing techniques. Intelligent vision systems, such as surveillance and monitoring systems, rely fundamentally on the characteristics of the input pictures having a significant impact on the accuracy of the object detection. This paper presents a fast video dehazing technique using Generative Adversarial Network (GAN) model. The haze in the input video is estimated using depth in the scene extracted using a pre trained monocular depth ResNet model. Based on the amount of haze, an appropriate model is selected which is trained for specific haze conditions. The novelty of the proposed work is that the generator model is kept simple to get faster results in real-time. The discriminator is kept complex to make the generator more efficient. The traditional loss function is replaced with Visual Geometry Group (VGG) feature loss for better dehazing. The proposed model produced better results when compared to existing models. The Peak Signal to Noise Ratio (PSNR) obtained for most of the frames is above 32. The execution time is less than 60 milli seconds which makes the proposed model suited for video dehazing. Page(s): 328-337 2023-03-01T00:00:00Z