Volume 9 | Issue 6

 Abstract

The aim of this study was to isolate and identify environmental bacteria from various raw water sources as well as the drinking water distributions system in Mafikeng, South Africa, and to determine their antibiotic resistance profiles. Water samples from five different sites (raw and drinking water) were analysed for the presence of faecal indicator bacteria as well as Aeromonas and Pseudomonas species. Faecal and total coliforms were detected in summer in the treated water samples from the Modimola dam and in the mixed water samples, with Pseudomonas spp. being the most prevalent organism. The most prevalent multiple antibiotic resistance phenotype observed was KF-AP-C-E-OT-K-TM-A. All organisms tested were resistant to erythromycin, trimethoprim, and amoxicillin. All isolates were susceptible to ciprofloxacin and faecal coliforms and Pseudomonas spp. to neomycin and streptomycin. Cluster analysis based on inhibition zone diameter data suggests that the isolates had similar chemical exposure histories. Isolates were identified using gyrB, toxA, ecfX, aerA, and hylH gene fragments and gyrB, ecfX, and hylH fragments were amplified. These results demonstrate that (i) the drinking water from Mafikeng contains various bacterial species and at times faecal and total coliforms. (ii) The various bacteria are resistant to various classes of antibiotics.

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 Keywords

Environmental, Bacteria, faecal

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 Abstract

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PV MODULE,LDR,IR SENSOR

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COVID-19, impact, Customer perception, online meat/seafood selling

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The civilized field is booming every day as India gains prominence as a progressing country. In urban areas, Underground cables, are rather used than overhead transmission lines. Even though Underground lines are beaten under some conditions, their usage is increasing as a result of simple advantages such as lower line losses, lower maintenance costs, and less vulnerability to severe climate effects. It's difficult to pinpoint the exact location of the flaws in underground cables. Since it's not obvious. In this paper, we used an IoT-based technique with a Google database to detect faults using the Esp8266 IoT module. It is based on the Internet of Things. In this case, we used the Esp8266 IoT module, which connects Arduino sensors to the Internet. For communication, we had set up a Hot Spot on the router. We connected each Module to the transformer and used the Google database to check the transformer status. When compared to other techniques, our proposed method is more accurate and efficient.

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Short circuit fault, Open circuit fault, underground cable, IoT, ESP8266 module.

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Phyllanthus niruri (Euphorbiaceae) is a small herb having wide range having a therapeutic properties. Ayurvedic system it is used for ulcers, , Jaundice, diabetes, chest pain, skin diseases and urinary tract infection. It show laxative effect taste in bitter and astringent effect. Extracts of this herb have been used therapeutic effects in many clinical studies. The extracts of Phyllanthus niruri have a wide range of pharmacological activities like antimicrobial, hepato protective, antioxidant. This review cover all the information about its ethanobotanical.

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Antioxidants, Macronutrients, Ethano Botany, Hepatoprotective

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 Abstract

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Keywords: Accidents, Children, Education, Prevalence, Determine.

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Presently a day's mechanized frameworks are assuming control over manual framework. Home Automation framework utilizing IOT is a framework that utilizes PCs or advanced cells to control the essential home capacities and highlights utilizing web from anyplace around the globe. It is utilized to spare the power and human energy. Home robotization is the programmed control and checking of family apparatuses and private house highlights like TV, fans, lights, entryways, door and even the windows. Occasions can be customized to be set off under explicit conditions, (for example, contingent upon the sensors information), and this can be utilized in diminishing the absolute energy devoured by certain machines. Then again, the framework can propose shrewd undertaking booking. In the pervasive computing and ubiquitous computing entering into the picture it perform the task scheduling. In the real world scenario when a person enter into the room, they should turning on the lights. In advanced installations, room can be sensed and not only identify the person but also observes the lighting, temperature, day of the week, time of the day and other factors.

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IoT, Raspberry Pi, Arduino, Bluetooth, Zigbee, GSM

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

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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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CNN, Emotion recognition, Facial features

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 Abstract

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 Keywords

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

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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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precision farming, thermal imaging, drones, controlled spraying

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

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

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

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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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concrete strength, curing, gel, super absorbent polymer

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 Abstract

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Human Resource Management, Internet

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