Volume 10 | Issue 6 |

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PMSM,DC MOTOR

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Environment, Sociology, Somaliland

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Comparative Stress Analysis of Void Slab and Conventional Slab

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 Keywords

Void slab

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

JANPATH PRATAPGARH MEIN POSHAN STAR AVEM MANAV SWASTH

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

JANPATH PRATAPGARH MEIN POSHAN STAR AVEM MANAV SWASTH

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Lung ultrasound, Deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition