International Journal of Advances in Agricultural Science and Technology
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The Stara Zagora area in southern Bulgaria is home to pasture vegetation and land snails infected with protostrongylids.
Get PDFNine pastures in the Stara Zagora region were studied to determine the association betweenprotostrongylid infections of land snails and the type of pasture vegetation. An abundance of plant lifewas a distinguishing feature of the pastures. The following species of strongylus larvae were found:Protostrongylus sp., Neostrongylus linearis, Cystocaulus ocreatus, and Muellerius capillaris. Helicellaobvia is the primary intermediate host for protostrongylids, and the multiple regression analysis verifiedconnections between vegetation and infection characteristics. For both the overall prevalence ofprotostrongylids and the prevalence of the most prevalent species, M. capillaris, the only predictor inregression models was the type of the primary vegetation. 
Enhancing Security and Data Integrity in Cloud Computing via Decentralized Solutions
Get PDFSecurity threats are widespread in the cloud computing architecture. Threats to infrastructure, data privacy, data integrity, and stable infrastructure are all examples. These days, cloud infrastructures may be either centralized or decentralized, depending on the desired level of centralization and degree of independence from other nodes. Unfortunately, there are a number of security risks associated with relying on a centralized cloud service. Due to geo-redundancy technology and Reid Solomon erasure coding, decentralized cloud computing is more robust to outages, and data is better safeguarded
Adaptive Rate-Based Optimization Strategies for Deep Neural Networks
Get PDFProfound learning structures are turning out to be more confounded, bringing about weeks, if not months, of tutoring time. This drowsy schooling is brought about by "evaporating inclinations," in which the angles utilized by engendering are gigantic for loads interfacing profound (layers close to the yield layer) and little for loads associating shallow (layers close to the information layer), bringing about sluggish learning inside the shallow layers. Besides, low arch seat factors have been displayed to create during non-raised illnesses, like profound neural organizations, which essentially eases back learning [1]. In this paper, we present an advancement technique for profound neural organization training that plans to tackle the two issues referenced above by utilizing study costs that are explicit to each layer in the organization and versatile to the ebb and flow of the element, permitting us to foster burden information at low curve components. This empowers us to learn quicker in the organization's shallow layers and break out extreme mistakes of low shape saddle parts in a short measure of time. We utilize our procedure to huge picture gloriousness datasets like as MNIST, CIFAR10, and Image Net, and exhibit that it further develops exactness while diminishing the measure of time required for preparing over immense strategies
Development of a Digital Feedback Control Algorithm for Two-Stage DC-DC Converters
Get PDFThe two-stage dc-dc converter's construction process is shown, and a methodical digital management technique is suggested for it. The dynamic reaction of the structure is very complicated because of the large number of reacting components. The steady-state study is used to check the two-stage converter's development. The fleeting reaction of the structure must be analysed, and a tiny signal model is required for this. The system is then adjusted with the help of a computer device that acts as a latency adjuster. Overshoot is reduced and stability is achieved by increasing the crossover frequency relative to the uncompensated converter and improving the second resonant frequency. The design process and the digital controller's steady-state and intermittent excellent characteristics are demo nitrated with experimental data
CONSTRAINTS FACED BY MUSTARD GROWERS IN ADOPTION OF IMPROVED MUSTARD CULTIVATION PRACTICES IN PRAYAGRAJ DISTRICT OF UTTAR PRADESH
Get PDFThe present study was conducted in Prayagraj District of Uttar Pradesh to find out theconstraints faced by mustard growers in adoption of improved mustard cultivation practices.A total of 120 respondents were selected randomly for the present study. The data werecollected through a pre-structured interview schedule and appropriate statistical analysis wasdone to find out the association. It was found that unavailability of seed at time, lack of creditfacility at time, lack of hybrid seed, lack of training programme related with improvedpractices, lack of proper market facilities were major constraints faced by the mustardgrowers in adoption of improved mustard cultivation practices. 
Knowledge of Farmers towards Improved Tomato Production Practices in Jalpaiguri District of West Bengal
Get PDFIndia is the second largest producer of tomato in the world after China. West Bengal is seventhlargest producer of tomato in India. Present study was conducted in Jalpaiguri district of WestBengal. Present study fully relies on the primary data collected by personal interview methodusing a pre-tested structured interview schedule. majority of the respondents were middle agegroup, illiterate, majority of the respondents lived in semi- cemented house and most of therespondents were living in extended family with medium annual income and most of thembelongs to SC category, medium level of social participation, scientific orientation, riskorientation, mass media exposure. Majority of the respondents had medium level of knowledgeand adoption towards improved tomato production. Socio-economic characteristics like age,education, housing pattern, annual income, family type, social participation, scientificorientation, risk orientation, mass media exposure had positive and significant association withthe knowledge at 0.05% of the probability. Caste and extension contacts had negative butsignificant association with the knowledge at 0.05% level
Hybrid Deep Learning with DEA-RNN for Identifying Cyberbullying in Twitter Data
Get PDFCyberbullying (CB) is on the rise in today's online communities. With so many people of all ages using social media, it's crucial that these sites be protected from harassment. In order to identify CB on the Twitter platform, this article introduces a mixed deep learning model dubbed DEA-RNN. To fine-tune the Elman RNN's characteristics and shorten training time, the suggested DEA-RNN model blends Elman type RNNs with an improved Dolphin Echolocation Algorithm (DEA). Using a dataset of 10,000 tweets, we conducted extensive testing on DEA-RNN and compared its results to those of other state-of-the-art algorithms like RNNs, SVMs, Multinomial Naive Bayes, and Random Forests. (RF). The testing findings indicate that DEA-RNN performs better than the alternatives in every situation tested. In terms of identifying CB on Twitter, it did better than the other methods that were taken into account. With an average of 90.45% accuracy, 89.52% precision, 88.98% memory, 89.25% F1-score, and 90.94% sensitivity, DEA-RNN performed best in case 3
Solar Power Monitoring System Using Arduino
Get PDFThe purpose of this project is to design and build a solar energy monitoring system that makes use of Arduino Board technology to accomplish its objectives. A number of parameters were assessed in this research, including thermal conductivity, light intensity, voltage conductivity, and current conductivity, among others. A temperature sensor was used to keep tabs on the temperature of the room. The intensity of the light was measured with the help of a light dependent resistor (LDR) sensor. Consequently, we employed a voltage divider to measure the voltage since the voltage generated by the solar panel is too high for the Arduino, which is functioning as the receiver in this experiment. To finish it, we used a current sensor module that was capable of detecting the current generated by the solar array to take a reading on the current. The Arduino was given these settings as input values, and the result was shown on a Liquid Crystal Display (LCD) screen on the computer. On the LCD display screen, the temperature, the light intensity, the voltage, and the current amounts are all shown in real time. In order to display the result on an LCD screen, the Arduino must transform the analogue input of a parameter to a digital output and then back to analogue. This project will also feature a design that will ensure that the device casing is portable and easy to move, amongst other things
Spatiotemporal Pattern-Based Malware Detection Using the Dark-TRACER Framework
Get PDFThere is an urgent need to swiftly recognize patterns in hacking and implement appropriate defences as their prevalence rises around the world. Because there is no genuine contact taking place in the darknet, an observation and analysis of random hacks is made easier. Similar spatial patterns are seen on the darknet, where adware is spreading outbreaks through indiscriminate monitoring. Focusing on the unusual alignment of spatial patterns in darknet traffic data, we hope to solve the issue of early discovery of virus activities. Three different machine learning techniques were used in our prior research to suggest algorithms that could autonomously predict and identify unusual spatial patterns of darknet traffic in real time. In this work, we combined the previously suggested techniques into a unified system called Dark-TRACER and tested its ability to identify these malware behaviours using quantitative methods. Our large-scale darknet monitors (to /17 network sizes) were used to collect statistics on darknet activity from October 2018, through October 2020. The findings show that the techniques' flaws cancel each other out, leading to a perfect memory rate for the suggested methodology. Dark-TRACER also finds malicious activity on average 153.6 days before it is disclosed to the public by trustworthy third-party security study groups
A Study on Impact of Custom Hiring Services in Terms of Role and Utility in Agriculture by the users in Jabalpur District of Madhya Pradesh
Get PDFThere is ample scope of more development of custom hiring centre’s in the Villages of Jabalpur district.As the topography of the village is undulating in nature so the scope of light machinery is more as compare toheavy machinery, in such a scenario the more light machinery should be promoted and the villagers should betrained accordingly. Moreover, the maintenance of the machinery is another major issue which is major constrainof the CHC as because most of the machinery are not in a good condition to operate. During winter season asbecause the source of water is very limited so the villagers have to depend on pump set for providing irrigation somore pump set should be provided for getting a very good irrigation facility in the village which can ultimatelyincrease the cropping intensity. So, we can say that although a great height has been achieved by CHC