Various remote sensing images seek more attention with their high temporal and spatial resolution in the applications of earth science. Conversely, it is a difficult task for a single satellite to ...enhance high-quality images owing to its cost and technical constraints. It aims to suggest a novel remote sensing image fusion model for overcoming the limitations of the existing fusion approaches, where effective fusion rules were generated. Initially, the low frequency of MS image is used to enhance the PAN image using the optimized wavelet transform. Then, the enhanced PAN and MS images are used by the Improved Deep Convolutional Neural Network with Atrous Convolutions (IDCNN-AC) for getting the high-quality fused images. Further, the parameters in the IDCNN-AC are optimized using Hybrid Harris Hawks Dingo Optimization (HHHDO) for enhancing the fusion performance. Finally, the simulation outcome shows the efficient performance of the proposed image fusion model using different quantitative measures.
In the present study 6 inbreds were used as parents to make crosses in all possible cross combination in full diallel fashion to obtain total 30 possible F1 hybrids. These 30 F1’s were subjected to ...heterosis analysis for midparental, heterobeltiosis and standard heterosis, where 900M a prominent hybrid was used as standard check. For judging good F1 hybrids, negative heterosis was considered to be better for five traits (days to tasseling, days to silking, anthesis silking interval, days to maturity and plant height), while positive heterosis was considered to be desirable for the remaining traits (ear length, ear girth, number of kernel rows per ear, number of kernels per row, ear weight, shelling per cent, 100 grain weight and grain yield per plant). A perusal of standard heterosis revealed that out of 30 crosses studied, none of the hybrids were found to possess significant standard heterosis for all the traits studied. A total of eight hybrids exhibited significant and favourable standard heterosis for grain yield and its component traits. Among the eight hybrids, the hybrid UMI 133 x UMI 122 for seven traits and the remaining hybrids viz UMI 112 x UMI 66, UMI 112 x UMI 122, UMI 112 x UMI 133, UMI 122 x UMI 66, UMI 133 x UMI 112, UMI 133 x UMI 213 and UMI 213 x UMI 112 for five traits recorded significant and favourable standard heterosis and these could be adjudged as promising hybrids. Though the hybrids UMI 213 x UMI 176, UMI 133 x UMI 66 showed significant and favourable standard heterosis for maximum number traits, they were not considered as best ones due to the non significant standard heterosis of those hybrids for most important trait i.e. grain yield per plant. The extent of heterosis for grain yield per plant over check hybrid was found to be the maximum followed by ear weight. The heterosis over check hybrid recorded for anthesis silking interval was the maximum among the traits for which negative heterosis was favourable followed by plant height.
Simulation is to imitate or replicate real-life scenarios in order to improve cognitive, diagnostic and therapeutic skills. An ideal model should be good enough to output realistic clinical scenarios ...and respond to interventions done by trainees in real time. Use of simulation-based training has been tried in various fields of medicine. The aim of our study was to prospectively evaluate the effectiveness of simulation model "CRITICA"™ (MEDUPLAY systems) in training critical care physicians.
The advanced intensive care unit (ICU) simulator "CRITICA"™ (MEDUPLAY systems) was developed as a joint collaboration between the Indian Institute of Science, Bengaluru and St John's Medical College, Bengaluru. Two-day workshop was conducted. Intensive didactic and case-based scenarios were simulated to formally teach principles of advanced ICU scenarios. The physicians were tested on clinical scenarios in hemodynamic monitoring and mechanical ventilation displayed on the simulator. Assessment of the analytical thinking and pattern recognition ability was carried out before and after the display of the scenarios. Pre- and posttest scores were collected.
The postsimulation test scores were higher than pretest scores and were statistically significant in hemodynamic monitoring and mechanical ventilation module. Hemodynamic monitoring pre- and posttest scores 4.41 (2.06) vs 5.23 (2.22)
< 0.001 Mechanical ventilation pre- and posttest scores 4 (2-5.5) vs 7.5 (6.5-8.5)
< 0.001. A greater increase in posttest scores was seen in the mechanical ventilation module as compared to hemodynamic module. There was no effect of specialty or designation of a trainee on difference in pre- and posttest scores.
Simulator-based training in hemodynamic monitoring and mechanical ventilation was effective. Comparison of routine classroom teaching and simulator-based training needs to be evaluated prospectively.
Havaldar AA, Krishna B, Sampath S, Paramasivam SK. Simulation Training in Hemodynamic Monitoring and Mechanical Ventilation: An Assessment of Physician's Performance. Indian J Crit Care Med 2020;24(6):423-428.
The security of the electric vehicle can be ensured by incorporating encryption features in sent/received data in the vehicle. By providing encryption to the data in the electric vehicle, it is ...ensured that it cannot be accessed by intruders. So, even if the vehicle is hacked no damage could happen for the vehicle. Here, two symmetric algorithms (RC6 and Blowfish) are used for encryption which provides double security and is named as double encryption. RC6 and Blowfish both are symmetric-cryptographic algorithm with variable block size and variable key size. Since both are symmetric algorithm there is no requirement of key-generation. The performance of proposed algorithms is validated using software and software simulation. Python programming is used in software simulation time calculation for encryption and decryption process. Hardware simulation is carried out by proteus with Arduino as controller. Results show that algorithms are implementable in hardware with minimum processing time. Hence the proposed algorithms are applicable for electric vehicle application where the security is ensured in practical environment.
A new long duration rice: KKL (R) 1, suitable for Samba season was developed. It recorded an average grain yield of 5524 kg/ha with an increase of 4.58% over CR 1009 and 5.97% over ADT 44 ...respectively. It has medium slender grain with white rice and possesses good cooking qualities comparable to that of Improved white Ponni. It is moderately tolerant to sheath rot.
Controller Area Network(CAN) which is specially designed for Automotive connectivity has a major drawback in the security of data transmission, where the data can be easily hacked. By hacking the ...data can be read, altered or even false data can be injected which will lead to a huge risk for the vehicle itself and the driver/passengers in the vehicle. To prevent this combining two algorithms in cryptography (AES and RSA) encryption to the messages in the CAN bus is provided. The data sent from the ECU will be encrypted using the AES algorithm, the key used by the AES will also be encrypted using the RSA algorithm. Decryption will be done by a reverse process where first the key of AES will be decrypted and then the data will be decrypted. By providing encryption and decryption the data can be transferred securely. This project also provides authentication which is achieved by sending acknowledgment signals. By providing encryption and authentication the Replay attack and Injection of forged frames can be avoided. Here the time taken for encryption, authentication, and decryption for different samples of the text of different sizes are also calculated. Results shows that proposed algorithm is more suitable for e-vehicle with better CAN protocol security.
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