Volume 10 | Issue 6 |

 Abstract

Comparative Stress Analysis of Void Slab and Conventional Slab

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Void slab

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JANPATH PRATAPGARH MEIN POSHAN STAR AVEM MANAV SWASTH

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JANPATH PRATAPGARH MEIN POSHAN STAR AVEM MANAV SWASTH

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The upheld extension in new cases of Coronavirus across the world and potential for coming about flare-ups call for new devices to assist prosperity specialists with early assurance and patient noticing. Ultrasound imaging has a couple of traits that make it undeniably proper for routine use: lung ultrasound licenses crisis of patients in long stretch consideration homes, tents or various areas outside of the clinical center where other imaging modalities are not available; and it can choose lung commitment during the early phases of the disorder and screen impacted patients at bedside reliably. The different clinical benefits needs, the essential for steady clinical benefits get to and ensuing meet-ups, and the clinical starters wherein this patient people might be enrolled are overall being affected by the current Coronavirus prosperity crisis. Among picture appraisals, Lung Ultrasound (LU) might be a useful gadget to use in the treatment of such patients. Regardless, a couple of challenges really stay with routine use of lung ultrasound which current evaluation practices and picture comprehends are truly challenging, especially for unspecialized staff. To settle above issues Convolution Multi-facet Analytic (CMD) is the proposed computation it will be plausible to dissect patients where there is a nonattendance or set number of specialists, these can help better directing clinical resources by giving a rapid and strong way to deal with crisis patients. It uses principal development available at much greater volume than CT analyzes and is freed from ionizing radiation.

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COVID-19, Lung ultrasound, Deep learning

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Behaviour-based data Poisoning detection and data Poisoning detection techniques are widely used. It can easily detect malicious programs on your computer, but problems arise when data virus detection is unknown. Unknown data Poison diagnoses cannot be detected using available Poison detection behaviours. For data Poison detection, using well-known techniques such as graph-based techniques. Detecting data about the unknown family of poison attacks is a challenging task. Data poison detection uses graph-based mining. The classification process improves the detection process for data poisonousness detection. A graph-based approach to the classification and detection of data addiction detection. Diagnosis of various data poisons is a graph-based technique for collecting features from data. The proposed algorithm is very efficient at compressing previous methods. Associative Support Vector Machine (ASVM) algorithms for analyzing software behaviour. The ASVM algorithm learns the detection model from an adequate malware database. Signature-based detection technology detects unknown data toxins. It can be detected using available known data poison detection signatures. A method is needed to classify data toxin detection efficiently and detect confusing, unknown and different data toxins. We have highlighted the behaviours, characteristics and properties of data Poisoning detection extracted by various analytical techniques and decided to include them in the development of signature-based data Poisoning identifies.

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Keywords: Data Poison Detection, Behavior-based Data, Associative Support-Vector Machine (ASVM), malicious software, signature-based Data Poison.

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History always helps us in finding the most vital and fascinating part of our ancestry and their period. During that period, apart from men and women there existed the third gender which has different activities despite his/her sex. Transgender has been mentioned in most of the ancient and classical Tamil Grammar texts and other important literature books. Some instances can be seen in old Tamil Poems. They have been mentioned not just in a positive way but also in a negative way as they are described to be disgraceful. There also exists the different forms of Transgender in different circumstances in Kaappiyam, widely known as an Epic in English. Kaappiyam has found its place significantly in the history of Tamil Literature. In the form of a long, continuous poem, the ancient Tamil Literary form provides a lot of information and other Tamil works of ancient times. Among the five major epics namely, Iymperumkaappiyam, Silapadikaaram is considered as the best. This paper deals with the description of various forms and activities of Transgender in different circumstances that are explained in Silapadikaaram.

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Creative Commons Attribution 4.0 and The Open Definition

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As a result of the threat of climatic change and global warming to our planet's future, it has become critical to meet our energy needs for the next generation. Solar energy, which is one of the renewable energy sources, has an important role in meeting the increasing electrical energy demand of our goals. Solar panels are one of the most cost effective and low maintenance means of generating electricity because they did not have any moving parts. Current solar panels setups take a major power loss when unwanted obstructions cover the surface of the panels. So far, cleaning of solar and photovoltaic surfaces caused major difficulties to many solar panel operators and its installation cost is high. A water free solar panel cleaning robot is on its way to keep the entire system clean and efficient. The system consists of cleaning brushes rather than water. First an IR sensor sense the dust level by examining how much frequency level of dust is present on the solar panel. The complete system is already programmed into the Arduino Uno. The dust level will be displayed on the blynk app once the dust reaches the certain level; it will automatically start to clean the panel. After the solar panel has been cleaned, the voltage and current values of the solar panel are saved in the blynk app in the Android mobile. With the help of IOT the mechanical setup and blynk app are connected via Wi-Fi module. The panels are cleaned on a regular basis, and the mechanical arrangement has no effect on the solar panel's quality. When compared to the standard setup, we can boost the efficiency by up to 30% with this design. As a result of the threat of climatic change and global warming to our planet's future, it has become critical to meet our energy needs for the next generation. Solar energy, which is one of the renewable energy sources, has an important role in meeting the increasing electrical energy demand of our goals. Solar panels are one of the most cost effective and low maintenance means of generating electricity because they did not have any moving parts. Current solar panels setups take a major power loss when unwanted obstructions cover the surface of the panels. So far, cleaning of solar and photovoltaic surfaces caused major difficulties to many solar panel operators and its installation cost is high. A water free solar panel cleaning robot is on its way to keep the entire system clean and efficient. The system consists of cleaning brushes rather than water. First an IR sensor sense the dust level by examining how much frequency level of dust is present on the solar panel. The complete system is already programmed into the Arduino Uno. The dust level will be displayed on the blynk app once the dust reaches the certain level; it will automatically start to clean the panel. After the solar panel has been cleaned, the voltage and current values of the solar panel are saved in the blynk app in the Android mobile. With the help of IOT the mechanical setup and blynk app are connected via Wi-Fi module. The panels are cleaned on a regular basis, and the mechanical arrangement has no effect on the solar panel's quality. When compared to the standard setup, we can boost the efficiency by up to 30% with this design.

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Arduino, Brush, DC Motor, Dust Effects, Power Source, Solar Panel

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 Abstract

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Keywords: Knowledge, Substance abuse, Educational Programme, Adolescent students

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It deals with the analysis and interpretation of the data collected from field regarding socio-economic and personal profile of the sample beneficiaries and their family background. Important socio-economic profile covered include religion, caste, age, level of literacy, marital status, family size, assets, occupation etc.

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Socio-economic status, Beneficiaries Etc.

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In a world where protection of environment and conservation of energy are giving primary importance, the growth and mercenary of electric vehicle have taken on an accelerated pace. The present and predictable future most importance in the development issue of electric vehicles is how to evolve different energy sources in electric vehicles. Nowadays we are able to track vehicles using many applications which helps in securing personal vehicles, public vehicles, feet units and others. Furthermore there is a rapid increase in the occurrence of the road accident.This project is about a system which is developed to automatically detect an accident and alert the nearest hospitals and medical services about it. This system can also locate the place of the accident so that the medical services can be directed immediately towards it. The goal of this paper is to build up vehicle accidental monitoring system using MEMS, GPS and IOT technology. The system comprises of accelerometer, MCU, GPS & IOT module support in sending message. The accelerometer is used to detect fall and threshold algorithm are used to detect accident. Short message will contain gps[latitude, longitude]which helps in locating the vehicles.

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IOT, BLDC Motor, Accident Detection, GPS, Batteries, Converter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Postcolonial literature, Racial discrimination, Plight of African Migrant, Ethinicity, Hybridity.

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