Volume 9 | Issue 6

 Abstract

This paper presents the design and the development of an interactive multimedia futuristic Smart Mirror for commercial uses in various industries. The project which would collect real world machine data and the data would be transmitted from the machine and would be managed by the Raspberry Pi. The Smart Mirror implemented as a personalized digital device equipped with peripherals such as Raspberry PI, microphone, buzzer , LED Monitor covered with a sheet of reflective one way mirror provides one of the most basic common amenities such as weather of the city, latest updates of news and headlines and local time corresponding to the location. A screen is placed behind a two-way mirror 1. By using a black and white graphical user interface (GUI) only the white colors will penetrate the mirror, resulting in an effect that makes it appear as if the mirror itself is a screen. Our lifestyle has evolved in such a way that optimizing time is the most important thing. Based on the user studies and prototype implementation, we present the development of an different application that integrate interactive services of information, offered through a user interface on the surface of a mirror. Our work is based on the idea that we all looks at the mirror when we go out, so why wouldn't the mirror become smart. The framework will offer basic services, like the presentation of personalized weather data, time, date and will incorporate some additional functionality, like reminder service by mobile synchronization and through social media. Our framework is based on detecting presence of human using Passive Infrared sensors and Wi-Fi connectivity. Once a person comes in front of the mirror, it displays the information that is being fed from the phone. This data or information includes calendar, time, weather, news feed, notifications and so on. Our framework also discusses about the face recognition and its application in control mechanism in home appliances and opening and closing of shelf. Our framework also introduces speech activated music player, and plays the music when a person gives a command.

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 Keywords

Raspberry Pi, Gas Sensor, IOT

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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

distributed computing blockchain bitcoin distributed ledger

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Three-dimensional (3D) printing has advanced quickly, with significant medical uses. Development of biomaterials, cells, and supporting components enabling the production of functional living tissues was one of the most significant advancements leading to 3D bioprinting. Several different methods and techniques of 3D bioprinting are briefly described in this review article, and applications of 3D printing in tissue engineering and regenerative medicine, tissue transplantation, cancer research, artificial development of skin, bone and cartilage, blood vessels, liver tissue and also include the future of bioprinting in pharmaceutical applications that is Disease modelling and drug optimization, Drug toxicity screening, Precision medicine this article also include limitations and future challenges in 3D bioprinting. Further breakthroughs in the manufacture of patient-specific vascular tissue constructions will be aided by advances in additive manufacturing techniques, medical imaging modalities, biomaterials, and cellular engineering. Tissue engineering and regenerative medicine are likely to undergo significant transformations as a result of future transdisciplinary research and breakthroughs.

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 Keywords

Three-dimensional (3D) printing, Tissue engineering, Regenerative medicine, Tissue transplantation, Precision medicine, Additive manufacturing.

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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

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Bharani, Velichapadu, Kavu, Kannaki, Kovalan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In human communication, feelings play an important role. The ability to decipher human emotions by breaking down voice is appealing in a variety of contexts. Feelings recognition can be found in a variety of places, such as the connection between PCs and people and call centres. Feeling recognition had previously relied on simple classifiers on bag-of-words models. Nonetheless, the current work on voice feeling recognition was done with the use of deep learning algorithms on static voice data. The proposed technique focuses on improving the overall precision of feeling acknowledgment during calls including artificial intelligence. The overall goal is to accurately perceive the various emotions that a single utterance conveys semantically.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech conversion, human emotion, feature extraction, machine learning

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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

Positive deviance approach, Malnutrition, Healthy practices in children, Nutritional status of children.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, comprehensive thermodynamic analysis of an indirect fired gas turbine cogeneration system with multistage reheat system for heating and electricity proposes is reported. An exergy analysis carried out in the present study for improving and optimizing the overall performance of the system. This cogeneration system consists of a gas turbine cycle, a heat recovery steam generator cycle and a steam turbine cycle. A comparative study between no heat and multistage reheat shows that there is a significant improvement in electric power output, process heat production, fuel utilization efficiency and exergy efficiency due to reheat. It is also showing that the power to heat ratio is decreasing with the reheat because improvement in process heat generation is greater than the improvement in electric power output.

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ENERGY AND EXERGY ANALYSIS OF GAS TURBINE COGENERATION POWER PLANT.

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 Abstract

Carbon Nano Materials (CNMs) have many applications because of their super catalytical, mechanical, electrical, optical, thermal and strong electromagnetic wave absorption properties. In this work, CNM were synthesized from plant fiber and decorated with cobalt nanoparticles (Co-NPs). Microwave absorption efficiencies were studied in the frequency range of 2- 8 GHz having thickness ranging from 2-5 mm. The study concludes that CNMs decorated with Co-NPs exhibit excellent microwave absorption capability. The prepared sample shows strong microwave absorption of 96-99%, whereas -20 dB Reflection loss for 2-8 GHz frequency range of 4-5mm thickness having specific surface area of 648 m2.g-1.

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 Keywords

Microwave absorption, Cobalt nanoparticles (Co NPs), BET, Vector Network Analyzer (VNA), Ferromagnetic, paramagnetic.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lightweight cryptography is a new concept that refers to a method of bettering data security through using fewer resources and providing higher throughput, conservatism, and low power consumption. Every fraction second, the Internet of Things (IoT), which links billions of devices, collects an enormous amount of data. When the number of devices grows, so does the amount of data generated, and the protection of that data becomes a concern. In IoT architecture, devices are basically smaller and low-powered. Because of their complexity, traditional encryption algorithms are computationally costly and require several rounds to encrypt, effectively wasting the limited resources of IoT devices. A less complex algorithm, on the other hand, can compromise the necessary integrity. There are many lightweight cryptography algorithms available, and we use one of the symmetric encryption algorithms called Advanced Encryption Standard (AES). The speed of this algorithm is six times that of triple DES. Since all around us is automated in today's world, automation is playing an increasingly important role in human life. The term "smart home" encompasses not only the reduction of human effort but also energy conservation and time management. Home automation enables us to control household appliances such as lights, doors, fans, and air conditioners, which require a large number of energy-constrained devices that constantly interact with one another. The security of this home automation system must not be compromised. This problem of security for automated systems is often solved by using lightweight cryptographic algorithms. For this purpose, a lightweight security algorithm is proposed in our paper that is (AES).

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 Keywords

Internet of Things (IoT), Home Automation, LWC, AES, DES.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper deals with three algorithms implementations for square root computation. Newton-Raphson's, Iterative and Binary Search Algorithm implementations are completely designed, verified and compared. The algorithms, entire systems realization and their functioning are described.

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Creative Commons Attribution 4.0 and The Open Definition

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Recent advances in Big Data has prompted health care practitioners to utilize the data available on social media to discern sentiment and emotions expression. Health Informatics and Clinical Analytics depend heavily on information gathered from diverse sources. Traditionally, a healthcare practitioner will ask a patient to fill out a questionnaire that will form the basis of diagnosing the medical condition. However, medical practitioners have access to many sources of data including the patients writings on various media. Natural Language Processing (NLP) allows researchers to gather such data and analyze it to glean the underlying meaning of such writings. The field of sentiment analysis (applied to many other domains) depend heavily on techniques utilized by NLP. This work will look into various prevalent theories underlying the NLP field and how they can be leveraged to gather users sentiments on social media. Such sentiments can be culled over a period of time thus minimizing the errors introduced by data input and other stressors. Furthermore, we look at some applications of sentiment analysis and application of NLP to mental health. The reader will also learn about the NLTK toolkit that implements various NLP theories and how they can make the data scavenging process a lot easier.

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NLP Cosine similarity tf-idf grammar correction

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Creative Commons Attribution 4.0 and The Open Definition

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The formation of crowd in small local shops is inevitable. After the pandemic, situation has changed to such an extent that avoiding the crowd in closed compact spaces would be a priority. Hence, considering this priority, crowd estimation would be of great help. Here, we present a technique for crowd estimation by monitoring the time thus preventing a crowd formation. This approach is implemented with the aid of QR Code Scanning method.

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 Keywords

Crowd, ML, QR scan, pandemic, compact spaces

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Air quality prediction is one of the complex tasks due to its dynamic nature, volatility, and variability in the time and space of pollutants. At the same time, being able to model, predict, and monitor the quality of air is becoming more relevant due to the observed critical impact of air pollution on the health of citizens and the environment. This paper aims to predict the monthly Air Quality Indices using ARIMA (Autoregressive Integrated Moving Average) model. Then categorize AQI into different classes. This knowledge will help us to reduce its level to a lesser than harmful range. The prediction and categorization will be based on a data set of atmospheric conditions in a specific area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AQI, ARIMA MODEL, Stationary Series.

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Creative Commons Attribution 4.0 and The Open Definition

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This study has been undertaken to investigate the self sustainable and Ecofriendly model that has been suggested to implement the Power Generation Unit from Road Transport By using the Piezoelectric Sensors, which will convert the pressure and mechanical energy from the vehicles into electrical energy and making a Prototype for the same.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self sustainable, Piezoelectric Sensors, Prototype.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Business intelligence is a key factor for any manufacturer to distribute the resources strategically. processing of data to get incites is a tedious task and will take up a large resource. The dashboards that consume this processed information require the data to be in a certain form. Some dashboards require the data to be uploaded periodically. Processing data as it is produced from sources is a waste of resources and time. ETL(Extract Transform Load) provides a way of aggregating data, transforming it, and loading it to the destination. It is a process that is custom-built for every job but, the architectural structure is the same. Even if the structure is the same there are different strategies for carrying out the ETL task. The automated ETL tasks will save time and will be reliable since they are purpose-built. The standard ETL task only transforms the data and the analytics and other processes are carried out. The analytics regarding the characteristics of data will help maintain the data and access the quality of the data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Extract Transform Load, Extract Load Transform, Analytics Pipeline, Knime, Jenkins

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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

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Conveyor Belt, Propeller, Collection Bin, RC Control, Review Paper

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Nivarthana, Ezhava, Chatti Udayakkal, Janthu, lunatic asylum, bureaucracy, Diwan

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Open and distance learning, perception, attitude

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main objective of the present research is to find out the Role of the Emotional intelligence in Well-being among Students. for this investigation Purposive randomized sampling technique was employed to select the participants. Sample of 200 undergraduate subjects were taken for this study from the population which was equally classified in students having higher level of emotional intelligence 100 & students having lower level of emotional intelligence 100 from Marathwada region. Emotional Intelligence of the students is independent variable in this study. Well-being of students is dependent variables in this study. Mangal Emotional intelligence Inventory (MEII) constructed by Dr. S. K. Mangal and Dr. Shubhra Mangal in 1971 was used. To measure the level of psychological well-being of the subjects, RYYF Scale of Psychological Well-Being was used. On the basis of the results, it can be concluded that students having higher level of Emotional Intelligence exhibit higher Wellbeing than student having lower level of Emotional Intelligence. Thus, level of Emotional Intelligence increase Wellbeing of students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Well-Being, Emotional Intelligence

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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

Container object (CO), External objects (EOs), Websites, html

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Creative Commons Attribution 4.0 and The Open Definition