Volume 9 | Issue 5 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gender Issues, Higher Education, HEIs, Status of women

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Attacks, Privacy, Security, Threats, VANETs, Vulnerabilities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer Relationship Management, Customer Retention, Hotels in Kerala

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Involvement ,internship,students,hospital

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition