Volume 9 | Issue 5

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Pervious Concrete, No fine Aggregates, Racron Fiber, Crumb Rubber.

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Pongamia Pinnata, Phytochemical qualitative analysis, Traditional uses, TLC, pharmacology.

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Antiseptic property ( destroy protein and lipids of bacteria etc) of Alcohol (Ethanol ) ( 42.2% to 70 % ) ( Pharmaco dynamics or Mechanism of Action ) , Molecule - C2H5OH or CH3-CH2 -- OH ( 42.2 % to 70% in 30 sec ) (https://www.youtube.com/watch?v=Y5S_svx8XYo ) . Excreted unchanged by lungs 5% ( Pharmacokinetics ) against to kill Covid 19 viruses inhaled during droplet contact carrier . Prediction of Participatory sciences . UOG

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Antiseptic , Ethanol, Phaemacodynamics, Pharmacokinetics, Covid 19, Vivo Vitro, Prediction and Nebulizer .

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We can see a person standing in front of our house from electricity board, whose duty is to read the energy meter and handover the bills to the owner of that house every month. This is nothing but meter reading. According to that reading we have to pay the bills. The main drawback of this system is that person has to go area by area and he has to read the meter of every house and handover the bills. Many times errors like extra bill amount, or notification from electric board even though the bills are paid are common errors. To overcome this drawback we have come up with an idea which will eliminate the third party between the consumer and service provider, even the errors will be overcome. In this paper the idea of smart energy meter using IoT and Arduino have been introduced. In this method we are using Arduino because it is energy efficient i.e. it consume less power. In this paper, energy meters which is already installed at our houses are not replaced, but a small modification on the already installed meters can change the existing meters into smart meters. The use of GSM module provides a feature of notification through SMS. One can easily access the meter working through web page that we designed. Current reading with cost can be seen on web page. Automatic ON & OFF of meter is possible. Threshold value setting and sending of notification is the additional task that we are performing)

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Smart Energy Meter, SEM , Energy Meter, Arduino Nano.

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Smart towns combine more than one cellular or internet answers to construct a cushy human habitation. One of those answers is to offer an environmentally friendly, green and powerful rubbish control device. The cutting-edge rubbish series device consists of ordinary rubbish vans doing rounds each day or weekly, which now no longer most effective would not cowl each area of the town however is a totally inefficient use of presidency assets. This paper proposes a cost-powerful cellular or internet-primarily based totally device for the authorities to make use of to be had assets to effectively manipulate the overpowering quantities of rubbish accrued every day, even as additionally imparting a higher answer for the inconvenience of rubbish disposal for the citizens. This is performed with the aid of using a community of clever packing containers which integrates cloud-primarily based totally strategies to reveal and examine records accrued to offer predictive routes generated via algorithms for rubbish vans. An android or internet app is advanced for the personnel and the citizens, which in general presents the generated routes for the personnel and the closest to be had clever bin for citizens

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Smart Garbage Management System , Arduino , Android Studio.

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A single objective stochastic inventory model is formulated and introducing the impreciseness to the budget, it is considered as a fuzzy single objective stochastic inventory model. Then we reformulate the model as a multi objective inventory problem and it is solved by General Fuzzy Non Linear Programming technique. The solutions are illustrated by numerical examples when the demand follows exponential distribution and the results are compared, also.

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Fuzzy stochastic model, General fuzzy non-linear programming, Fuzzy Programming, stochastic inventory.

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Gender Issues, Higher Education, HEIs, Status of women

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Vehicular Ad-hoc Network (VANET) is an establishment less association. It gives improvement in prosperity related strategies and comfort while driving. It engages vehicles to impart information to regard to prosperity and traffic assessment. The degree of VANET application has extended with the new advances in development and improvement of keen metropolitan networks across the world. VANET give a careful system that has critical impact in progress of traffic organizations and in decreasing road incidents. Information participated in this structure is time sensitive and requires amazing and rapid forming association affiliations. VANET, being a distant off the cuff association, fills this need absolutely anyway is slanted to security attacks. Basically dazzling affiliations, sensitive information sharing and time affectability of this connection, make it an eye-getting field for aggressors. This paper tends to a composing survey on VANET with fundamental concern of the security issues and challenges with it. Features of VANET, plan, security necessities, assailant type and expected attacks in VANET are considered in this survey paper.

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Attacks, Privacy, Security, Threats, VANETs, Vulnerabilities

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Customer Relationship Management, Customer Retention, Hotels in Kerala

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Automatic management of home appliances should be unnaturally intelligent systems that require to form itself rely on human being's action and surroundings. These systems square measure totally examine user needs and conditions of the near so as to estimate future actions and cut back user interactions. Here we tend to bring abrand new Home automatic system supported machine learning. During this system we tend to advance VGG16+LSTM design to will increase accuracy and potency of the system. The system contains 3 modes of operations to regulate home appliances, they are: emotion detection mode, automatic mode and manual mode. This method prominence given to energy consumption and prediction performed by provision regression and additionally confirm frequency occurring set of devices by victimization apriori rule .The another element of this method is that we will examine power consumption of individual devices.

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Machine learning, Apriori algorithm, Logistic Regression, VGG16, Association rule

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Emotional Intelligence (EI), Emotional Competencies (EC), Trait

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Cancer is the most difficult problem in the field of medicine and its postoperative recovery has become the most concerned problem for cancer patients .In the field of medical image processing brain tumor detection and segmentation using MRI Scan has become one of the most important and challenging research areas .Magnetic Resonance Imaging(MRI) is a widely used imaging technique to assess these tumors ,but the large amount of data produced by MRI needs manual segmentation in a reasonable time ,limiting the use of precise quantitative measurements in the clinical practice. So, automatic and reliable segmentation methods are required. Automatic segmentation is a challenging problem in which manual detection and segmentation of brain tumors using brain MRI scan forms a large part of brain human intervention for detection and segmentation taken per patient, is both tedious and has huge internal and external observer detection and segmentation variability. Hence there is high demand for an efficient and automatic brain tumor detection and segmentation using brain MR images to overcome errors in manual segmentation. In practice, the system uses HSI(Hyperspectral Imaging) to detect cancer cells. It is difficult to eliminate the ambiguities of making spectral profiles with biological samples and therefore the presence of fundamental non-uniqueness is another limitation of HSI .To overcome this difficulty, we are developing a system which detects the location of cancer cells through MR images and also suggests effective treatment like medications ,vaccines etc...to physicians.

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MR images, Brain tumor, Segmentation, Classification, CNN, Machine Learning.

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A Descriptive study to Assess the involvement of internship medical students in the hospital during covid 19 among the internship medical students Introduction: Coronavirus disease 2019 (covid-19) has upended medical education. Owing to widespread uncertainty and disagreement about the appropriate roles for medical students during a pandemic, student participation in clinical care has varied across institutions. Some schools forbid any patient interaction, whereas others have recruited students for hospital-based roles or even graduated medical students early so that they can serve as frontline clinicians. Aim: The main of the study study was to asses the involvement of internship medical students in the hospital among the internship medical students. Method: Non experimental descriptive research design was adopted.150 internship medical students who fulfilled the criteria was selected by non proabaility convenient sampling technique. Non structured questionnaire was used to assess the demographic variables and involvement of internship medical students in the hospital among internship medical students.reliability of the tool was established by test reset method and chi square method. Result: The study reveals that among 150 samples,0(0.0%) are highly motivated,11(7.3%) are moderately motivated,140 (92.7%) are adequately motivated. Conclusion: Most of the situation the internship students had adequate motivationto work in the hospital where the students have high motivation .thus we affirded the students about the risk of the pandemic existing, and the students had good motivation to work for the society.

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Involvement ,internship,students,hospital

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Normally great number of lives are affected because the patients are not right and within the law worked. In the same way, for constant parameter qualities are not through being able to keep producing measured in building and in addition in medicinal buildings." At times it gets to be troublesome for medicinal centres to as often as possible check patients' conditions. Likewise, constant checking of ICU patients is impractical. To manage these sorts of circumstances, our framework is beneficial. the most purpose of this undertaking is to style and instrument the true time state of being a healthy watching system using raspberry pi. Here we are getting to work that we'll regularly monitor the patient health and also, we'll maintain the update of the patient health. during this, we project used a heartbeat sensor to ascertain the patient health. Here we will calculate the readings of pulse, systolic, diastolic values. we will store the previous value of these terms. this may help us to match the health status of the patient. And easier thanks to recommending proper medicine

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Heartbeat Sensor, Bluetooth, HDMI Cable, HD TV, Arduino Nano, Raspbian, Python,Raspberry Pi, Arduino, Systolic, Diastolic.

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Mobile Application, Chatbot, Machine Learning, NLP, Learning, Pandemic necessity

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clean energy resources is going to be the most favourable and important resources form now onwards for electricity generation. Renewable electricity generation technologies were assessed against a range of sustainability indicators, the indicators used to asses were the greenhouse gas emission, cost of electricity, energy payback time, and availability of renewable resources, land requirement, energy conversion efficiency, water consumption and social impact. The cost of electricity, greenhouse gas emissions and the energy payback time were initiate to have a very extensive variety for each technology, which the figure of merit for different renewable energy sources has been proposed. The study indicates that wind energy is having minimum water consumption, minimum greenhouse gas emission, and most friendly social impacts which is considered as one of the most sustainable energy resources, small hydroelectric power plant stand in second followed by solar photovoltaic cell and geothermal as this resources is clean and most sustainable in nature, which can be helpful for mitigation of greenhouse gas emission, global warming.

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sustainability, clean energy, energy storage, energy payback time, cost of electricity, figure of merit.

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To repay the reactive power misfortunes in the transmission line and any place in the electrical influence framework, we have completed the writing survey of the different papers and embraced the distinctive procedures to defeat this issue. We have utilized the shunt and series arrangement strategies, in which the compensator like capacitor will be given in parallel and in series to the inductive load. Since there is dependably a voltage and current transient upon the changing the capacitor steps. Henceforth we adopted the FACTS (Flexible AC Transmission Systems) gadgets to beat the responsive force remuneration issue. The studies for the different FACTS gadgets were completed and we discovered the STATCOMs (Static Synchronous Compensators) is the present day and the most productive approach to conquer the responsive force pay. The different strategies were done for the STATCOMS. The genuine investigation were completed in MATLAB and its scientific outflow was inferred utilizing diverse routines for calculation. Study of FACTS devices like STATCOM and SVC is being presented in this paper. These devise have allowed as to compensate reactive power and mitigate problems occurring in transmission lines. This thesis present the analysis of Static Synchronous Compensator for single phase AC transmission line and also compared the results with Static VAR Compensator and tabulated their differences. Also the analysis of STATCOM for three phase AC transmission line has also been performed accordingly. Principle of operation of Static Synchronous Compensator and PWM techniques have also been employed in simulation of STATCOM, which are briefly presented in this paper. We have also done basic mathematical formulation for STATCOM. These thesis basically present the operation of STATCOM to compensate reactive power when connected to single or three phase AC transmission lines.

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Power quality, D-STATCOM, Voltage Sag, Voltage Source Converter (VSC), Energy storage system.

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Finger millet is one of the most oldest millet in India and belongs to a period of thousand years in the past. Amongst all the cereals and millet that is available today, finger millet holds the highest content of Calcium, Potassium, high dietary fiber, mineral, sulfur and amino acids, as compared to white rice which is the main staple food of India. Millet contains calcium 344mg and potassium 224mg per 100gms. As chakli being a traditional savory food product, it is recognized to be low in protein and mineral and because of frying the fat content also gets increased. As a result we produced a chakli which was fat fried (traditional method) and also in oven which was a baked product. Multiple samples of chakli were prepared using the two base ingredients that was ragi flour and Bengal gram flour. After preparation of this two chakli samples it was observed that the fat content differed in the fat fried and oven baked sample. The oil intake of the chakli was reduced and the protein content was increased in the baked version of the chakli. Ragi flour can be incorporated to Bengal gram flour to formulate Calcium, iron, protein rich chakli. The main objective of this research is to prepare nutrition rich chakli using ragi. Calcium deficiency leads to bone and teeth disorders, iron deficiency, which can be overcome by introducing finger millet(ragi) in daily diet.

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chakli, oil uptake, oven baked, mineral content, protein content, incorporated, deficiency.

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Post-Traumatic Stress Disorder (PTSD) occurs due to traumatic events. The last few decades have seen various traumatic events in Kashmiri population, which has led to psychological impact on all population, especially children. PTSD is one of the psychiatric disorders occurring after witnessing of traumatic events. A review of literature regarding PTSD in Kashmir (India) has been done to assess the prevalence, causes, risk factors and psychiatric comorbidity associated with it.

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POST-TRAUMATIC STRESS DISORDER (PTSD) IN KASHMIR (INDIA): A REVIEW

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OCR, CNN ,Text Recognition, Character Segmentation

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