Volume 9 | Issue 6 |

 Abstract

Health is indeed the true wealth of the people. The health management and promotion have gained significance in modern times in the context of Sustainable Development Goals. The process of health management becomes incomplete in the absence of health communication. It basically includes information, education and communication of health centric policies, programmes and allied measures. Health communication is an important component of health management in modern times. Health communication is the practice of communicating promotional health information in the form of education, training, orientation and campaigns which benefit the mankind. The contemporary relevance of health communication is emphasized in this article based on qualitative research methodology.

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 Keywords

Health Communication, Healthy Lifestyle, Health Management, Attitudes and Behaviours, Healthcare Professionals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The 21st century is striving hard for cultivation of plants in a controlled manner, But because of lacking of land availability and scarcity of water. In traditional farming, farmer has to visit the farming land regularly to measure the various environmental parameters such as temperature, humidity, light intensity and soil moisture to cultivate the right crops at right time in right soil. Even though this traditional farming system have been used for years, the system is hectic and fail to prove high productivity rate as farmer usually unable to measure all the parameter accurately. Therefore there is need to optimize the system in a way that is affordable and efficiently conserves water. Manually controlling the water is a tedious process and inefficient due to requirement of a person to control. Working in such a manner sometimes it leads to damage of plant in the absence of that person. The main problem is it depends on weather conditions, sometimes which leads to complete damage of plants. Therefore, there is a need to come up with a system which overcomes the problems of manual systems. A system which reduces manual control and would efficiently worked in a control manner. This is done by using Automatic greenhouse monitoring and controlling. It replaces the direct supervision of the human. In this paper the different papers have been reviewed and developed the proposed system based on the limitation in the present monitoring system. Greenhouse is a building where plants are grown in a controlled manner. We created a total model of smart greenhouse for implementing our system. It consists of simple but efficient algorithm, which happens to manage all the aspects.

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 Keywords

Arduino ATmega328, Atmospheric sensors, DC motor controlled sprinkler system. Solar panel.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Face recognition is a difficult field within the scope of biometric authentication since it is reliant on the uniqueness of biological qualities or qualities of an individual. Face recognition systems are subject to a variety of threats and hence their security is critical. Face spoofing is a way of gaining unauthorized access to a system by impersonating a legitimate user using a photo, video clip, or 3D mask as a replacement for another person's face. 2D and 3D spoof attacks are the two types of spoof attacks. To prevent all of these scams, there is a need for security solution that can combined with current using Biometric technology. This paper helps to detects fraud by using the image of the user's identity as a form of authentication. For training 72% and for testing 28% of total dataset are used. Tools used for this application are sypder, keras, Numpy and Tensorflow.

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 Keywords

Face Spoof, Face Biometrics, Face recognition

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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

Malnutrition, Deep learning, Convolution Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

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This Concrete is the most widely used man-made construction material in the world, and is second only to water as the most utilized substance on the plant. It is obtained by mixing cementing materials, water and aggregates, and sometimes admixtures, in required proportions. The mixture when placed in forms and allowed to cure hardens into a rock-like mass known as concrete. Concrete is composed principally of aggregates, Portland cement, and water, and many contain other cementitious materials and/or chemical admixtures. It will contain some amount of entrapped air and may also contain purposely entrained air obtained by use of admixture or air- entraining cement. Chemical admixtures are frequently used to accelerate, retard, improve workability, reduce mixing water requirements, increase strength, or alter other properties of the concrete. In this work the graphene was used with different proportions

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 Keywords

Compressive Strength, Split Tensile Strength, Graphene

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Covid even though has created havoc but has presented many business sectors a great opportunity for who were able to acclimatize to work from home (WFH) practices. Such crisis mandates not only the business but employees doing WFH also need to fine-tune this model with learning how to carry it out appropriately. This WFH model has both opportunities and threats on both the ends i.e., business and employees. While business can draw a lot of benefits in terms of widening talent pool, saving costs etc. Also, when employees are working from home, they are working with the same business having same responsibilities, deliverables and need to meet the targets with no change in timelines. Employees working from home have the opportunity to work in a stress free environment with good health and wellbeing. However, the challenges are also faced by both the ends and these challenges need to be mitigated in order to make the WFH truly successful.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Remote work, work from home, WFH

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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

Python, Machine Learning, Convolutional Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

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Word affiliation, uncovering mental portrayals and associations of humans, has been generally concentrated in brain science. However, the size of accessible acquainted signal reaction words is harshly limited because of the customary physically gathering approach. In the meantime, with the huge accomplishment in (NLP) technique tasks, an extremely huge measure of plain messages can be effectively obtained. This proposes a knowledge about discovering affiliation words from the content corpus rather than physically assortment. This paper moves toward proposing a profound learning-based structure for programmed affiliation word extraction as a unique endeavor. The Framework comprises two phases of affiliation word identification and machine affiliation network development. Specifically, consideration instrument-based Reading Comprehension (RC) calculation is investigated to discover important affiliation words consequently. To approve the worth of the extricated affiliation words, the connection coefficient between semantic similitudes of a machine and human affiliation words is presented as a viable estimation for assessing affiliation consistency. The investigation further confirms that the machine affiliation words are for the most part steady with human affiliation words as for semantic likeness, which features the promising usage of the machine affiliation words, later on, explores both brain science and NLP.

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 Keywords

Text Extraction, NLP Technique, Deep Learning, Transcript, Word Affiliation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the years, an explosive growth in the number of items in the catalogue of e-commerce businesses, such as Amazon, Netflix, Pandora, etc., have warranted the development of recommender systems to guide consumers towards their desired products based on their preferences and tastes. Some of the popular approaches for building recommender systems, for mining user derived input datasets, are: content-based systems, collaborative filtering, latent-factor systems using Singular Value Decomposition (SVD), and Restricted Boltzmann Machines (RBM). In this project, user-user collaborative filtering, item-item collaborative filtering, content based recommendation, SVD, and neural networks were chosen for implementation in Python to predict the user ratings of unwatched movies for each user, and their performances were evaluated and compared.

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 Keywords

Recommender systems, collaborative filtering, neural network, machine learning, RMSE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In 2019, Corona virus Disease (COVID-19) spread seriously in more than 180 countries, causing a global crisis. The lack of immunity to COVID-19 in the absence of aggressive treatment increases the vulnerability of the population. Due to the lack of vaccines, social distance (suspicious activity against COVID-19) is the only way to combat this pandemic. Motivated by this concept, this article describes a deep learning-based framework for automating social distance tasks with surveillance videos. The generated boundary box helps identify clusters or groups of people that meet the neighborhood properties calculated using the pair wise vectorization method.

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 Keywords

suspicious activity, deep learning

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Creative Commons Attribution 4.0 and The Open Definition