Volume 10 | Issue 6

 Abstract

The main goal of this work is to understand the mechanical behaviour of composites to three point bending loads. A unidirectional (UD) fabric of E-glass fiber is the most common reinforcement in composite structural applications which exhibits excellent strength, modulus, resistance to water degradation and corrosive environments, durability, good fatigue life and it is easily available and cheaper. A multiscale numerical model is prepared and a quantitative and qualitative analysis is conducted on this model and the results are validated. An experimental test sample made of the E-Glass/Epoxy-resin composite is subjected to three point bending test. The experimental results are validated with the multiscale mechanical model built. The FEA (Finite Element Analysis) is being utilized and the results obtained are validated through experimental approach.

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Bending strength, Composite material, Micro wind turbine, E-Glass fiber, FEA, Orthotropic Material, Numerical methods, Macrostructure, Microstructure.

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The use of social distance (SD) to limit the transmission of the infectious Coronavirus Disease 2019 is a successful strategy (COVID-19). However, a lack of spatial awareness could result in unintended infractions of the new rule. In light of this, we recommend the implementation of an active surveillance system.COVID-19 can be slowed by issuing warnings to people in a certain area. The contribution that we make istwofold. First, we provide a vision-based real-time system for detecting and reporting SD infractions.state-of-the-art deep-learning models provide non-intrusive audio-visual signals The second step is to establish what we mean by a We propose a new critical social density value and show that it is possible to reduce the likelihood of SD violations.If the pedestrian density is kept below this level, the pedestrian density will be close to nil.

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Social Distancing, YOLO v3, Anaconda Navigator

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THE MAKING OF A CRIMINAL: CASE STUDY OF TED BUND

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Data security has been a major concern in recent years. Encryption has emerged as a solution and is critical to the information security system. To protect the shared data, a variety of procedures are required. The current project focuses on using cryptography to safeguard data while it is being transmitted across a network. To begin, data must be encrypted using an encryption method in cryptography before being sent from sender to receiver in the network. The user then chooses the approach he wants to employ to decryption data. Second, the receiver can view the original data by employing the appropriate decryption algorithm (as determined by the user). Data encryption is used to send the key via email.

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AES, cryptography, steganography, RSA, DES, Encryption (E), Security and privacy (SP), homomorphic encryption (HE)

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At different rates in different parts of the world, the next-generation Internet protocol, IPv6, is inching its way toward adoption[13]. IPv6 (Internet Protocol version 6) is the latest revision of the Internet Protocol (IP) protocol that is designed to solve the problem of the current Internet Protocol version 4 (IPv4) depletion[14]. The purpose of this paper is to accelerate the adoption of IPv6 by highlighting the benefits of it compared to IPv4. It also includes migration mechanism from IPv6 to IPv4 and security issues involved.

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IPv6, IPv4, NAT

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The economy being highly based on agriculture demands innovative and reliable methods of irrigation.The shortcomings of manual methods of irrigation can be rectified using automated process. This system presents the idea of automatic irrigation method the task of automatic irrigation is done through assistance of soil moisture sensor and temperature sensor. In the system, based on the soil moisture sensor and temperature sensor the water pump is controlled by relay which in turn is controlled by the Arduino controller.The water content is constantly judged and whenever moisture level of soil gets low, the system sendsa signal to turn on the motors.The motors automatically stop after soil reaches its maximum upper threshold value which is decided by user. The major advantages of the System include avoidance from water wastage, proper and efficient use of waste water, growth of plants to their maximum potential, less chances of error due to less labour.

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 Keywords

IOT Based Agriculture Automation, Microcontroller, Relay, motor, moisture sensor, Humidity sensor, leaf water sensor, Temperature sensor, LCD, OpAmp, Rectifier, Transformer

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In this project we discuss about the modelling and simulation is held between the two different types of electric motors that are used in electric vehicles.by this project we will compare the performance of different types of motors. The power consumption of motors and heat generated by the motor. These comparison between motor helps us to know the which motor has best performance and which motor is more power efficient and which motor is suitable for use in electric vehicles. Because, as we all know that in these upgrading world we are searching alternative for the fuel based vehicles. The usage of fuel is increasing and the production of fuel is decreasing these leads to the increases the cost of fuel. In this situation we have only choice that is electric vehicles. With the electric vehicles we have both advantages and disadvantages. So we need to calculate lot of mathematical calculations. The electric vehicles runs on the batteries so we need to charge the vehicle frequently. To charge the vehicle we need charging stations. To overcome from these types of problems we need to improve the range of electric vehicle by using better performance motor which runs on low power and which gives maximum performance. So in this project we compare the different motors to analyses the performance of motors. MATLAB-SIMULINK is used to create and simulate a mathematical model of a fieldoriented controlled Permanent Magnet motor driving system. Today, the use of Permanent Magnet Synchronous Motors (PMSM) is expanding in various sectors (particularly in the machine tool industry) due to their smaller size, lighter weight, and lower rotor loss when compared to induction motors of same capacity.

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PMSM,DC MOTOR

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 Abstract

Pain in childbirth is a universal experience. It is a normal occurrence and Labour pain experience will vary each individual. Labour cause and characteristics of pain in the labour room will help the nurse to provide care for the women in labour process. Non-pharmacological management of labour includes mental stimulation, thermal stimulation, and cutaneous stimulation (Campman& Durham, 2010). The objectives of this study were to: (1) To assess the level of pain among antenatal mothers during the active phase of labour in the intervention group and control group, (2) To assess the effectiveness of slow paced breathing technique during the active phase of labour in terms of pain reduction in the intervention group compared to control group. Method: The study was conducted among 30 antenatal mothers in Perinthalmanna nursing home, Kerala.Antenatal mothers were assessed by using tools like Socio-demographic proforma, Obstetrical variables and labour pain was assessed by Numerical pain rating scale. The result of the present study found that there is no significant mean difference in pre-test concerning pain level of intervention and control group (p>0.05).whereas in post-test 1 the mean pain level in the intervention group was 5.53 which is less than the control group 6.67 (mean difference 1.13). In post-test 2 the mean pain level in the intervention group was 4.73 which is less than the control group 6.53 (mean difference 1.80). In post-test 3 the mean pain level in the intervention group was 3.93 which is less than the control group 6.53 (mean difference 2.60). The study findings revealed that slow paced breathing was effective in the reduction of pain at p<0.05. To conclude a music therapy was effective in reducing pain during the first stage of labour among antenatal mothers. Thus, it can implement as non-pharmacological therapy to reduce labour pain.

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Slow paced breathing technique, Antenatal Mothers, Obstetrical variables, Pain level

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 Abstract

The password-based door lock system is the device that has been developed to enhance the security of a place concerned where the entry of unauthorized individuals is restricted. The device works with the help of a microcontroller that has been set in such a way so as to respond to a certain binary code only. In this password-based door lock system when the authorized user types a certain password with the help of a keypad, the microcontroller checks it with the code it is supposed to compare with. If the entered code is correct it sends the signal to the gate to open, if the entered code is wrong then it would activate the theft alarm.

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Micro controller, solenoid, voltage regulator, PCB board, LCD

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 Abstract

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Environment, Sociology, Somaliland

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Response modification factor (RMF) is the type of seismic design parameters to recognize the nonlinear concert of building structures during solid earthquakes. As such, relying on this factor, various seismic design codes lead to decrease the structural loads. This research to calculate the response modification factors (RMF) of conventional eccentric braced frames (EBFs). Since, the response modification factor depends on the ductility and over-strength, the static nonlinear study has been accomplished on building models including type three length of link beam, with 3,5,7 and 10 stories and with different brace arrangements (open chevron invert V and open diagonal bracing), Further, the linear dynamic and incremental nonlinear dynamic study was performed on building models under Indian conditions. The results indicated that the response modification factor for open diagonal eccentric braced frame was higher than the open chevron eccentric braced one. It is also found that the length of the link beam and the height of buildings have had larger effect on the response modification factors.

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response modification factor, seismic design, moment resisting frames, concentrically braced frames.

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 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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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