Detection of Bacterial Blight on Pomegranate Leaf

In india, agricultural field plays vital role in the development of India. Smart farming is about empowering today’s farmers with the decision tools and automation technologies that seamlessly integrate products, knowledge and services for better productivity, quality and profit. In this paper, a solution for the detection of pomegranate leaf disease and also the solution for that disease after detection are proposed. The proposed system mainly consist image preprocessing, feature extraction, clustering and classification. The first steps consists image preprocessing in which images are resized. In second step, feature extraction is carried out. Color, morphology and color coherence vector features are used for the purpose of feature extraction . K-means clustering technique is used for partitioning training dataset into desired number of clusters according the features that has been extracted from the fruit images. Then the next step includes training and classification. Support Vector Machine approach is used for classification. DOI: 10.17762/ijritcc2321-8169.15064

Synchronization of Solar and MSEB

In this paper we are providing a overview of recent researches synchronization of solar and MSEB. The term ?smart grid? refers to the use of technologies and tools that help electric utilities better meet consumers? needs reliably and affordably by more effectively monitoring power usage demand and system conditions on a near real-time basis. The smart grid combines digital devices, software applications and two-way communications that allow utilities to track the flow of electricity with great precision, and apply logic to relays according to the situation of input. It can also let utilities record consumer electric use in various time intervals and provide consumers with energy usage data. Considering the problem of generation of the ac supply, we aim to design a system, which can utilize the solar power. Due to the use of solar power for home appliances requirement of grid?s power will be reduced. This system results into the efficient use of renewable energy. This system will be used to overcome the problem of load shedding and reducing the electricity bills. The system consisting of solar dc power can be converted into ac power using the solar micro grid inverter. The synchronized output is given to the microcontroller and the source of supply will be selected automatically according to the requirements of load and status of the sources. Advanced facility like GSM will allow the user to control various appliances just through a message. Daily report of usage of power through individual source will be given to the user by a text message. Various parameters like voltage, current, power consumption will be displayed on a LCD to give the notification of status of the system

Review Paper on Zigbee based Secured Wireless Communication by using DES Encryption

IEEE 802.15.4(Zigbee)[1] standard is low data rate,low power consumption and low cost wireless personal area network.In order to transmit large amount of information that require high data such as video, image and audio and its encryption and decryption is considered.Zigbee in general uses a single channel for data transmission.In this paper we proposeddata transmission (pdf,image) over zigbee networks with DES encryption,which aims to improve total throughput of networks and secure transmission of data

Data Transfer via Human Body

In this paper we are providing a overview of recent researches on body as a communication media i.e. creating a ‘HAN’ network. We use different communication media in our daily life such as LAN, WAN, VAN, MAN, etc... So according to research the new concept is came into account as “RED TACTON” which makes the human body as a communication media. It mainly create HAN network. It proved a better communication for near field where transmitter and receiver are in close proximity. RED TACTON mainly makes the use of electric field generated by the person’s body as medium for transmitting data. For making use of human body as transmission media we have to first study the concept of intrabody communication In which the human body characteristics (distance, resistance, the effect of ground plane to body channel Trans receiver and proper frequency range for intra body communication etc.) as signal transmission media are explained thoroughl

Formulation And Evaluation Of Osmotically Controlled Drug Delivery System Of An Anti-Diabetic Drug

Saxagliptine has a relatively short elimination half-life (2.5 h), thereby requiring twice or thrice daily dosing in patients, which may lead to non-compliance. Extended release formulation of Saxagliptine based on osmotic technology was developed and evaluated. Controlled Porosity osmotic tablets of Saxagliptine were developed using Self Pore forming agent Mannitol. Prepared tablets were evaluated for their Flow property, weight variation, hardness, friability and content uniformity. Tablets were coated with a semi permeable membrane using 6% w/v cellulose acetate Phthalate (CAP) in isopropyl alcohol and Methylene chloride and Polyethylene Glycol-400 as plasticizer. Drug release rate was increased as the increase of Mannitol amount in Core Tablet. Drug release was inversely proportional to weight gain but directly proportional to the Self pore forming agent. The drug release from developed formulations was independent of pH and agitation intensity of release media. The DSC and FTIR studies demonstrated that there was no interaction between polymers and drug. The optimized formulation was stable after one months of accelerated stability studie

Survey on AI Ethics: A Socio-technical Perspective

The past decade has observed a great advancement in AI with deep learning-based models being deployed in diverse scenarios including safety-critical applications. As these AI systems become deeply embedded in our societal infrastructure, the repercussions of their decisions and actions have significant consequences, making the ethical implications of AI deployment highly relevant and important. The ethical concerns associated with AI are multifaceted, including challenging issues of fairness, privacy and data protection, responsibility and accountability, safety and robustness, transparency and explainability, and environmental impact. These principles together form the foundations of ethical AI considerations that concern every stakeholder in the AI system lifecycle. In light of the present ethical and future x-risk concerns, governments have shown increasing interest in establishing guidelines for the ethical deployment of AI. This work unifies the current and future ethical concerns of deploying AI into society. While we acknowledge and appreciate the technical surveys for each of the ethical principles concerned, in this paper, we aim to provide a comprehensive overview that not only addresses each principle from a technical point of view but also discusses them from a social perspective

A Novel LS/LMMSE Based PSO Approach for 3D-Channel Estimation in Rayleigh Fading

A high transmission rate can be obtained using Multi Input Multi Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) model. The most commonly used 3D-pilot aided channel estimation (PACE) techniques are Least Square (LS) and Least Minimum Mean Square (LMMSE) error. Both of the methods suffer from high mean square error and computational complexity. The LS is quite simple and LMMSE being superior in performance to LS providing low Bit Error Rate (BER) at high Signal to Noise ratio (SNR). Artificial Intelligence when combined with these two methods produces remarkable results by reducing the error between transmission and reception of data signal. The essence of LS and LMMSE is used priory to estimate the channel parameters. The bit error so obtained is compared and the least bit error value is fine-tuned using particle swarm optimization (PSO) to obtained better channel parameters and improved BER. The channel parameter corresponding to the low value of bit error rate obtained from LS/LMMSE is also used for particle initialization. Thus, the particles advance from the obtained channel parameters and are processed to find a better solution against the lowest bit error value obtained by LS/LMMSE. If the particles fail to do so, then the bit error value obtained by LS/LMMSE is finally considered. It has emerged from the simulated results that the performance of the proposed system is better than the LS/LMMSE estimations. The performance of OFDM systems using proposed technique can be observed from the imitation and relative results

Effect of Canopy Management Practices during forward Pruning on Berry Development and Photosynthesis in Tas-A-Ganesh Grapes

Effect of canopy manipulation during forward pruning on berry development and photosynthetic parameters was studied in Tas-A-Ganesh grape grafted onto Dogridge rootstock. Canopy manipulation including shoot thinning, leaf removal, shoot thinning with leaf removal, and shoot pinching, was done after forward pruning. Significant differences were observed in yield and quality. Shoot thinning to about 40 shoots per vine, with removal of three basal leaves, resulted in significantly higher yield, followed by that in shoot thinning alone. Lowest yield was recorded in the Control. Leaf removal drastically reduced bunch development affecting berry weight, diameter and length compared to other treatments. Among different canopy manipulation treatments, higher average bunch weight was recorded in shoot thinning plus leaf removal, whereas, lowest bunch weight was recorded with leaf removal alone. At harvest, the amount of total soluble solids in berries was low in leaf removal at pre-bloom stage, but increased in the treatment of shoot thinning with leaf removal, at the same stage. Different canopy manipulation treatments had significant impact on photosynthesis and transpiration rates. Overall results indicated that canopy manipulation practices such as shoot thinning, to retain 40 shoots per vine with or without leaf removal, followed by pinching, can be recommended to grape growers

Dynamic Study of N'N-dimethylparanitroaniline encapsulated in Silicalite-1 matrix using neutron spin-echo spectroscopy

International audienceThe present work focuses on the dynamic studies of N'N-dimethyl- paranitroaniline (dmpNA) encapsulated in silicalite zeolite. Quasielastic neutron scattering (QENS) experiments are carried out using neutron spin-echo technique. Polarisation of the scattered neutron beam is measured at carefully chosen values of Q=0.35, 0.9, 1.1 and 1.45 A -1 at xed T=298 K and at xed Q=0.9 A -1 at 150, 200, 250 and 298 K. This gives insight into the motion and the related activation energy of the guest dmpNA molecule. The quasielastic signal observed in the present system within the time range considered is due to fast local rotational motions of protons of the end methyl groups. The results are in good agreement with the dynamics of methyl group rotations reported in the literature by back- scattering QENS technique

Design and implementation of Cell Tracking system and Sync with cloud

In today?s world more than eighty percent people uses the smart phones. As the need increases the misuse of the cell phone also increases. Anyone can distrust or cheat other or suspicious of others activities. There may be loss of an important data in the big organizations due to the employees. Many criminal activities have increased in organization and teenagers are misusing the smart phones. So for the security purpose in the large organizations and to control the activities of the employees and the teenagers, software can be used which keeps the log files in a single mobile with its date and synchronize daily with restricted area in corporate with cloud