Volume 9 | Issue 6 |

 Abstract

As a result of consistent developments and improvements ever since the first- generation technology, we have moved to an optimal technology which is known as the Fifth-generation technology system. Although it is making the human generation more dependent but it is proving out to be much more advantageous in human lives. The primary purpose of the study in this paper is to explore the various 5G activities by reviewing a wide range of research projects, recent literature and 5G white papers from key players in the wireless technology. The intention is to help to understand what 5G is about and how different 5G initiatives aim at getting there. The Rising worldwide adoption of internet-enabled devices is expected to drive the industry. These include autonomous driving, distant learning, video conferencing & multi-user gaming, telemedicine, and opera live streaming. In this Research Paper we have talked about 5G, its application in Auto driven cars and Drones, Fog clouding, Security issues with 5G, Health effects and its expected performance.

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 Keywords

5G, Wireless Technology,5G and Autonomous driving, 5G and Drones, Security issues of 5G, Health effects of 5G

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Creative Commons Attribution 4.0 and The Open Definition

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Facial expression recognition is a trending topic in most of the fields. In the proposed work, there are classification of human faces into 5 basic emotions takes place. The proposed work gives the technique of facial emotion recognition using convolutional neural network which is the goal of the work. The work is based on two parts convolutional network. The first section is the recognition of the emotion using database and the next part focuses on the facial features of the pictures using live video. The FERC is different from single level CNN, the improve of accuracy can be obtained. The FERC Facial emotion recognition can be useful in many applications such as driver alertness, lie detectors, etc.

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 Keywords

CNN, Emotion recognition, Facial features

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Image, Image search, convolutional neural network, Feature vector, Artificial intelligence.

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

ZSM-5, Calcinations, Complex production, Crystallinity

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 Abstract

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

Keywords:Dermatoglyphics;Fingerprints;OSMF

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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

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

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Creative Commons Attribution 4.0 and The Open Definition