ROUTING PROTOCOL FOR VEHICULAR ADHOC NETWORK

Vehicular Ad hoc network(VANET) are special type of Mobile Adhoc Networks(MANET) where wireless equipped vehicles from a network are continuously travelling along the road. Node movement feature of Vehicular ad hoc network (VANET) closely resembles with that of mobile ad hoc network (MANET) but its high speed mobility and unpredictable movement characteristics are the key contrasting feature from that of MANET. The similarity nature suggests that the prevailing routing protocol of MANET is very much applicable to VANET. However, on the same line, the dissimilarity characteristics result in frequent loss of connectivity. In VANET, topology changes rapidly and there is frequent disconnection which makes it difficult to design an efficient routing protocol for routing data among vehicles called vehicle to vehicle communication. Many routing protocols where implemented like AODV, AOMDV, SD-AOMDV, DSDV, CBDRP. SD-AOMDV adds the speed and direction as two mobility parameter. By enhancing the performance of SD- AOMDV routing protocol, packet delivery ratio, and throughput can be increased and end-to-end delay can be reduce

Biochemical changes in cotton plants due to infestation by cotton mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae)

The study on biochemical changes in cotton plants (Gossypium hirsutum L.) due to infestation by cotton mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) was conducted at CICR Nagpur during 2014-15. Total protein contents estimated from the shoots of the healthy plants (4.29 mg/g) indicated 50.5% increase over the healthy plants (2.85 mg/g). Total phenol content increased by 185.7% in the mealybug infested plants (0.20?g/g) over the healthy plants (0.07?g/g). Insignificant difference in the level of total soluble sugar was observed in mealybug infested plants (1.00?g/g) as compared to healthy plants (0.90?g/g). Total reducing sugar was found to be unaffected with the mealybug infestation. Although there was depletion in all the photosynthetic pigments viz., chlorophyll a (19.1%), chlorophyll b (23.7%), total chlorophyll (21.2%) and carotenoids (20.8%) due to the mealybug infestation, these values were not statistically different in the healthy plants. This is the first report on biochemical changes in cotton plant due to infestation of P. solenopsis

Relative toxicity of insecticides against cotton mealybug Phenacoccus solenopsis Tinsley (Hemiptera:Pseudococcidae) and its fortuous parasitod Aenasius bambawalei Hayat (Hymenoptera: Encyrtidae)

Nineteen insecticidal formulations from 10 groups of insecticides were evaluated for their relative toxicity against cotton mealybug Phenacoccus solenopsis Tinsley and its fortuous parasitoid Aenasius bambawalei Hayat. Insects were exposed to cotton leaves dipped in insecticidal solutions and their mortality was recorded at 24-h intervals. Within 24 h of exposure, Quinalphos, Chlorpyriphos, Thiamethoxam and Profenophos have detrimental effect on both P. solenospis and A. bambawalei recorded more than 70% mortality. Thiodicarb was extremely toxic to P. solenopsis and least toxic to A. bambawalei where as Spinosad was less toxic to P. solenopsis and extremely toxic to A. bambawalei. Profenophos, Thiamethoxam and Chlorpyriphos results into > 90% mortality of P. solenospsis while 100% kill of A. bambawalei with Spinosad, Acephate and Chlorpyriphos up to 48 hours. More than 80% mortality of P. solenopsis with Chlorpyriphos, Profenophos, Monocrotophos, Thiamethoxam, Spinosad and of A. bambawalei with Profenophos, Monocrotophos, Flonicamid, Buprofezin, Imidacloprid, Thiamethoxam, Chlorantraniliprole, Flonicamid and Indoxacarb recorded 72 hours after exposure. While at 96 hours, cent per cent mortality of P. solenopsis was recorded with Monocrotophos which was equivalent to Acephate and Spinosad. Least LT50 values were found with Thiodicarb, Quinalphos and Thiamethoxam for P. solenopsis and higher in case of Thiodicarb for A. bambawalei. Spinosad, Chlorpyriphos and Quinalphos were found to be extremely toxic to A. bambawalei. Among the tested insecticides Thiodicarb was found effective against P. solenopsis and relatively safer to A. bambawalei may be used judiciously to manage P. solenopsis that have least implications on the environment

Suppression of Jasmonic Acid-Dependent Defense in Cotton Plant by the Mealybug Phenacoccus solenopsis

The solenopsis mealybug, Phenacoccus solenopsis, has been recently recognized as an aggressively invasive pest in China, and is now becoming a serious threat to the cotton industry in the country. Thus, it is necessary to investigate the molecular mechanisms employed by cotton for defending against P. solenopsis before the pest populations reach epidemic levels. Here, we examined the effects of exogenous jasmonic acid (JA), salicylic acid (SA), and herbivory treatments on feeding behavior and on development of female P. solenopsis. Further, we compared the volatile emissions of cotton plants upon JA, SA, and herbivory treatments, as well as the time-related changes in gossypol production and defense-related genes. Female adult P. solenopsis were repelled by leaves from JA-treated plant, but were not repelled by leaves from SA-treated plants. In contrast, females were attracted by leaves from plants pre-infested by P. solenopsis. The diverse feeding responses by P. solenopsis were due to the difference in volatile emission of plants from different treatments. Furthermore, we show that JA-treated plants slowed P. solenopsis development, but plants pre-infested by P. solenopsis accelerated its development. We also show that P. solenopsis feeding inhibited the JA-regulated gossypol production, and prevented the induction of JA-related genes. We conclude that P. solenopsis is able to prevent the activation of JA-dependent defenses associated with basal resistance to mealybugs

Cotton Plant Health

Not AvailableNot AvailableICAR-TM

BLE Protocol in IoT Devices and Smart Wearable Devices: Security and Privacy Threats

Bluetooth Low Energy (BLE) has become the primary transmission media due to its extremely low energy consumption, good network scope, and data transfer speed for the Internet of Things (IoT) and smart wearable devices. With the exponential boom of the Internet of Things (IoT) and the Bluetooth Low Energy (BLE) connection protocol, a requirement to discover defensive techniques to protect it with practical security analysis. Unfortunately, IoT-BLE is at risk of spoofing assaults where an attacker can pose as a gadget and provide its users a harmful information. Furthermore, due to the simplified strategy of this protocol, there were many security and privacy vulnerabilities. Justifying this quantitative security analysis with STRIDE Methodology change to create a framework to deal with protection issues for the IoT-BLE sensors. Therefore, providing probable attack scenarios for various exposures in this analysis, and offer mitigating strategies. In light of this authors performed STRIDE threat modeling to understand the attack surface for smart wearable devices supporting BLE. The study evaluates different exploitation scenarios Denial of Service (DoS), Elevation of privilege, Information disclosure, spoofing, Tampering, and repudiation on MI Band, One plus Band, Boat Storm smartwatch, and Fire Bolt Invincible

Efficient Energy Management System Through RTOS

Abstract:-This paper describes efficient energy management system to reduce and manage power consumption in home area. The room easily controllable with an RF remote control of a home device and manage through RTOS. The room having automatic standby power cut-off outlets, a light, and a ARM hub. The ARM hub have an RF code learning function and educates the RF remote control signal of a home device connected to the power outlet. Then the power outlets and the light in the room can be controlled with an RF remote control. Normally automatic standby power cut-off outlet has a waiting time before cutting off the electric power. This standby power it consumes during that time. To reduce the waiting time, simultaneously we turn off the home device and the power outlet with an RF remote control through the ARM hub. This method actively eliminates the standby power. The proposed design provides easy way to manage, control and monitor the home devices through ARM processor and RTOS. When a home device is moved to the different outlet, the total energy information of the home device is kept consistently and seamlessly regardless of location change through RTOS

Health prediction system using machine learning

The emergence of the coronavirus (covid-19) pandemic has substantially elevated the worldwide demand for the healthcare system. Massive numbers of elderly and prone human beings are scuffling to fitness situations such as high blood pressure, diabetes, heart attack, and so on. Here in our project, I am making healthcare with the help of an algorithm and deep learning method to predict the disease. A user interacts with the system just like one interacts with his doctor and based on the symptoms provided by users and the system will identify the symptom and predict the disease. Thus, target to layout and implement a low- priced and smart healthcare system that allows non-stop assessment and tracking of patient fitness, thus BP and frame temperature monitoring is critical for that I used sensors that transmit information over a wi-fi network via a wi-fi module that allows fact analytics and visualization by using healthcare workforce