Volume 9 | Issue 6 |

 Abstract

The aftermath of the pest attack brings a huge loss to the farmers. Various pest detection methods were followed for many years and there is a need for proper implementation which leads to reduced loss and thus increased profit to the farmer. The pests are underneath the leaves, so they require various stages of detection. Early-stage identification of the pest decreases the losses and usage of pesticides. Tremendous uses of pesticides impinge soil fertility and eutrophication. Precision farming methods and techniques must be implemented. Thermal imaging gives the infrared radiation intensity of the objects. The movement of the pest can be identified through it. Drones are used to take wide ranges of images. These images are analyzed and identify the pest intensity. A proper spraying mechanism should be implemented on the land such that it sprays a required amount of pesticide to the plant. The pesticide should be sprayed at the pest area of the plant. Healthy plants are not sprayed with pesticides. Accurate measures of the number of pesticides are sprayed with the help of proper control mechanisms provided by drones; thermal imaging and ground robot-controlled spraying.

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 Keywords

precision farming, thermal imaging, drones, controlled spraying

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 Abstract

Thermal conductivity measurement of metals or alloys is necessary in industry for quality control. Heat rate is one of the parameter in measuring thermal conductivity. In laboratory it is difficult to measure Accurate and repeatable heat rate and it takes longer time because of lengthy experimental process also complicated formulas. In order to overcome this we have designed software based heat rate measurement system using Phoneix kit. Combination of hardware and software framework is performed using Phoenix kit. Temperature is measured using IC LM 35 temperature sensor. Software is designed using python programming language with ubuntu operating system. The heat rate observed is 1.60938 0C/min, 1.615805 0C/min and 1.66379 0C/min for Steel, Iron and Brass respectively.

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 Keywords

Heat rate, Phoenix kit, hardware, software, LM 35, Python Programming Language.

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 Abstract

Traffic Sign Recognition is needed for independent driving and assisted driving research. TSR studies are of incredible importance for enhancing street traffic safety. In recent years, CNN (Convolutional Neural Networks) has made quite an achievement in image processing tasks. It shows higher accuracy than the traditional approach. Although, the execution time and accuracy of the present CNN techniques have been improved. The hardware necessities also are better than earlier than, resulting in a bigger detection value. To clear up those issues, this paper proposes a new approach to the CNN model. Improvised batch normalization and enhancing the community shape for traffic signal detection duties. The accuracy of the model inside the traffic signal detection project is significantly advanced, and the detection velocity will become quicker. The result showed that the strategy in this paper has assisted with improving the precision and recognition speed of traffic light identification and waning the equipment prerequisites of the discovery framework too.

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 Keywords

Traffic Sign Recognition, Neural Network framework, Multi-variant classification, Normalisation

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 Abstract

Crack has an important role within the field of evaluating the standard of concrete structures, which affects the applicability, and sturdiness of the structure. Cracks on the surface of concrete structures like tunnels indicate the strength and durability of that structure. Hence it is required that these cracks be found as early as possible so that maintenance can be done. Thus, there is a need for new and efficient crack detection methods. In secure tunnel crack detection system using machine learning, tunnel surface images are obtained and are then encrypted. These images are then pre-processed and classified into cracks and no cracks classes using transfer learning technology of Inception v3 neural network model. The model achieved an excellent accuracy of 0.998, precision of 0.989, recall of 0.989 and fscore of 0.989

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 Keywords

Crack, Inception V3, Secure Tunnel Crack, Homomorphic Encryption, Transfer.

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 Abstract

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ZSM-5, Calcinations, Complex production, Crystallinity

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TITLE COMPARISON OF FINGER PRINT PATTERNS IN PATIENTS WITH AND WITHOUT ORAL SUBMUCOUS FIBROSIS-A DERMATOGLYPHICS STUDY Introduction- The introduction of chewing tobacco containing areca nut into the market has led to a sharp increase in the frequency of OSMF. Henceforth, present study was undertaken to find out any correlation of dermatoglyphic parameters with Oral Submucous fibrosis which could act as a useful tool in assessing the risk of OSMF in gutka chewers. Material and methods: The present cross-sectional study comprised of 60 subjects, 30 patients with and 30 patients without Oral Submucous fibrosis with history of gutka chewing since past 10 years. Fingerprints were taken using Camel ink on an A4 white paper by using ink and paper method which were studied for the pattern. atd angles were measured in both hands and mean standard deviation calculated. Chi square test was applied with p-value<0.05 considered as significant value. Results: The present study found decrease in arches pattern, radial loop pattern, and whorl pattern and atd angle in patients with OSMF. Conclusion: Palmar Dermatoglyphic can foretell the probability of occurrence of OSMF which can help in screening of gutka chewers to identify susceptible persons and can recognize a person in the prefibrosis stage.

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Keywords:Dermatoglyphics;Fingerprints;OSMF

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 Abstract

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Culture, Color, Miniature, History, Development, India, Painting

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 Abstract

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green; Compressed Block (CB); Green- Compressed ... Portland Cement (OPC), and banana fibers.

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SAP (Super Absorbent polymer) is one of the smart materials with a great scope in civil engineering. SAP can effect the concrete in various ways and aspects like crack, shrinkage, tensile strength and compressive strength. In this study we are going to study the effect of SAP on the strength of concrete mainly and other aspects too. The name of the SAP we will be studying about is Sodium Polyacrylate. The main function of SAP is that it acts as an internal water source which also can be called as internal curing agent plays vital role in the after final setting time of the cement .SAP also imparts some extra voids as it forms gel with water and decreases the strength of concrete . It replaces super plasticizers and also works as a plasticizer to some extent itself. In this study we will concentrate on the effect of SAP on fresh as well as hardened concrete to determine its strength when itmis subjected to various loading conditions

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 Keywords

concrete strength, curing, gel, super absorbent polymer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Resource Management, Internet

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Creative Commons Attribution 4.0 and The Open Definition