Volume 10 | Issue 10 |

 Abstract

In the fields of image analysis and computer vision, face identification poses a difficult problem. This work, Face Recognition, analyses these problems and uses them to identify or verify a person using deep learning techniques. A face in an image is automatically found via facial recognition. 40 attributes and datasets with a maximum of 200,000 faces were used in this study on celebrity faces. This dataset features a variety of angles, backgrounds, and facial expressions. Using VGG16, AlexNet, and GoogleNet, the technique recorded test accuracy of 96.15 percent, 96.81 percent, and 97.73 percent

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transfer Learning, Face Recognition, VGG16, Alexnet, GoogleNet, Classification Model, celebrity face dataset.

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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

Children Literature, Japanese Children Literature, Nankichi Niimi, Amedama, Humanity, Motherhood, Philanthropy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Single stage inverters are gaining more popularity in the applications like electric vehicles, micro grids, uninterrupted power supplies and photovoltaic. Compared to the conventional isolated inverters, the transformerless inverter topologies are becoming a new trend due to its compact size, reduced weight and higher efficiency. Generally transformerless inverters have a missing in galvanic isolation, which may raise grounding and protection concerns, in turn results in the common mode leakage current. In order to reduce the leakage current and to improve the gain, a switched inductor based single stage transformerless buck-boost inverter with virtual grounding is introduced. The inverter can perform both buck and boost functions so that the output can be kept constant. High conversion efficiency can be realized because only one switch is operated at high frequency. Through a simple SPWM technique the control of inverter topology is simulated using MATLAB/Simulink R2017b for an output power of 500W. The inverter is controlled using TMS320F28027F. The experimental results obtained from a 6.5W inverter prototype confirm the theoretical considerations and the simulation results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual grounding, Buck-boost inverter, Switched inductor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Taste is one of the most important parameter which is responsible for patient compliance. Bitter or obnoxious taste of drugs is a regular problem in the treatment of patients due to their unwillingness to swallow such formulation especially in children and elders. Oral administration of bitter drugs with an acceptable degree of palatability is an important factor for health care providers, especially for pediatric patients. Various oral pharmaceuticals, food and beverage products, and bulking agents have unpleasant, bitter taste components. Thus, masking of unpleasant taste characteristics of drug is an important factor in the formulation. This review describes the recent taste masking technologies by studying various methodologies for masking the bitter and obnoxious taste of drugs that includes taste masking by addition of flavouring and sweetening agents, Microencapsulation, Polymers Used For Coating, Prodrug Approach, Gel Formation, Granulation, Ion Exchange Resins, Solid Dispersion, Addition of Effervescent Agents, Taste Masking By Liposomes And Multiple Emulsion Technique, Bitterness Inhibitors, Taste Masking With Salt Preparation, Addition of Anesthetizing / Desensitizing Agents. These all taste masking technologies are discussed in the given review article.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Taste, Patient compliance, Bitter or obnoxious drugs, Taste masking technology, Polymers, Prodrug approach

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

People face many difficulties in understanding languages in their daily lives. For example, if people move from one state to another and do not understand the language, this Mobile Application will assist them. The existing system includes a separate application for each process such as a camera, Google Translate, and an Optical Character Recognition (OCR) text scanner. But people expect the application which consists of all three facilities together. So, the application that we have proposed makes it simple for people to translate an unfamiliar language into their native language or languages that they are familiar with. So, this mobile application captures images that are text-based and has important messages or any documents from the real world that are important to be translated, and once capturing of the image is done then the text is extracted and at the same time identification of language is done of extracted text, and then using Google translation API language is translated into their chosen language( we have more than 55 languages to choose) and then the result is displayed on the screen and then if the user wants to save the result they can save it and share it on another platform

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text recognition, Text Translation, Language Identification, Android, ML kit

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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

Depression, Cytokines, IL-6, TNF-?, Psychoneuroimmunology, cytokine, serotonin, dopamine, Sympathetic nerves system.

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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

Breast cancer, TIMP2 gene, Genotyping, PCR-RFLP.

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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

T4 hormones, Human body, thyroid hormones, Metabolism

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Obesity or overweight is a state of the body in which excess fat is stored in tissues. Obesity is often expressed in terms of body mass index (BMI).The Greeks were the first to recognize obesity as medical disorder. Obesity was once known to be a disease of the rich and advanced countries but due to the changes in life style and eating behavior this menace is catching up very fast in the developing world as well. Obesity also affects the children as well as adults. It is the one of the most significant contributors to ill health. Overweight is usually due to obesity but can arise from other causes such as abnormal muscles development. Studies show that the person suffering from obesity suffer from many health risk problems like heart disease, stroke, arthritis and some forms of cancer. Globally there are more than 100 crore overweight adult at least 30 crore of them obese. Almost 15% of Indians are obese. Obesity in India is not restricted by age or gender. Childhood obesity is also becoming more prevalent. It was found that 38% women and 30% men are obese in Punjab. World Health organization (W.H.O) has recognized it as global epidemic as reported in its technical report. Obesity can be become a chronic lifelong condition due to bad habits of eating, physical inactivity and some genetic problems. No matter whatever the cause obesity can be managed with the combination of diet, and exercise behavior. In severe cases weight loss medications and surgery can be done

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Obesity, Body mass index, Overweight, Arthritis, Stroke, Genetic problems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Virtual Assistant is software that can have Natural Language Conversations with people. The modelling of dialogue is one of the key tasks in Artificial Intelligence, Voice Recognization and Natural Language Processing. Making a good Virtual Assistant has been the most difficult challenge since the advent of Artificial Intelligence. Although Voice Assistants are capable of a variety of activities, their main responsibility is to recognize human speech and react properly. There are still some issues with developing data-driven systems despite the fact that there are now many Voice Assistant platforms available because a substantial amount of data is needed for their creation. Consequently, implementing these Virtual Assistants with Python libraries(like NLTK, spaCy, Polyglot, Text Blob, Flair) may be Accomplished. Moreover, to provide a better platform, Web Connectivity is also can be done to evaluate the Voice Assistant on a Web-based platform which will help in analyzing Human Voice Assistant Interactions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual Assistant, Artificial Intelligence, Natural Language Processing, Python libraries, Voice Recognization , Speech Synthesizer, Data Flow Sequence Algorithm , Porter Stemming Algorithm.

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Creative Commons Attribution 4.0 and The Open Definition