Volume 11 | Issue 4 |

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The Development of the Digital Economy in MSMEs

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The Development of the Digital Economy in MSMEs

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RESEARCH ON THE DEVELOPMENT OF A SUSTAINABLE DECORATIVE YARN USING ALUMINUM FOIL PLASTIC WRAPPERS.

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RESEARCH ON THE DEVELOPMENT OF A SUSTAINABLE DECORATIVE YARN USING ALUMINUM FOIL PLASTIC WRAPPERS.

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Web development is referred to as website designing as well as publishing with respect to fulfilling the requirements of project objectives. It includes project modules of functionalities in the website with proper passion. Web development projects having front-end, back-end, APIs, database, microservices, UI- UX designs, etc. Satellite portal to support adaptive e-learning for those who are interested to learn about satellite technology. Currently, satellite technology and space technology are trending technologies in the market. Learning Satellite technology makes students make themselves skillful for jobs as well as for innovative start-ups.

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Web Development, GHRCE- SAT.

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Fault detection systems in the pre-silicon stage have become increasingly important in ensuring the dependability of IC designs as the scale and complexity of VLSI designs continue to increase.Testing is very important for the diagnosis of faults at an earlier stage for any system, in particular, it is critical for the integrated circuits as the replacement is highly expensive. It is very complex to scaled-down the technologies due to the non-availability of mature models. In this thesis, various test and fault diagnosis techniques are studied, and modified algorithms for improvements are applied to chosen FinFET-based circuits. The effectiveness of the Built-in Self-Test (BIST) in finding faults is analysed concerning salient figures of merit including maximum fault coverage, speed, power dissipation, and test area overhead leading to improved design performance. A systolic array multiplier 94X4 is designed with reversible gates and Built-In Logic Block Observer (BILBO) logic is used for fault injection. Further, in this thesis suitability of PODEM algorithm for fault location is explored It is found that the application of AXI BIST results in significant improvement in speed (74%) and consumes power by 50%. Fault coverage (> 95%) is maximized through ROBDD. A reduced setup time could be achieved (2.3 ns) through selected Vedic algorithms.

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Fault diagnosis, Built in Self- Test (BIST), FinFET, Built-In Logic Block Observer (BILBO).

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More than 125 of the world's countries and territories are geographically located at least partially in the tropics which includes sri Lanka, Brazil, Colombia, costa rica , Cuba, India, etc., These 125 countries experience maximum sun light when compared to the countries that are far from equator. Tropical areas are dense in population and it is expected to increase population further. Most of the common public living in these countries including employees, workers, students, hawkers travel from one place to another place either by busses, bikes, cycles or by walk in which air conditioning is not available or possible and hence they get exposed to hot climate for longer Duration. Due to excessive exposure to hot climate and sweating, people living in these areas get affected with health problems like sun stroke, skin diseases, etc., and also have to bear lots of discomfort. As a relief to the above problem, we are planning to make a device that produces cold air and circulates it around the neck. The device uses thermos electric cooler and heat exchange for producing cold air and the air circulation shall be done using air pump or a blower.

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Neck Fan Cooler , Heat Sink Fan , Making Of knobs , Fixing Of Blowers , Fixing Of Blowers , Fixing of Peltier and Heat Sink , Cooling Storage Tank

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According to the Vedic tradition, Shadchakras are significant and suggest that they exist in consciousness. They are Manipura in the Navel portion, Anahata at Hrudaya Pradesha, Vishudha at the base of the neck, and Agna Chakra between the brows. Muladhara resides in the anal part. After becoming familiar with these six Mandalas, one should enter the Sukhamandala by sending Vayu upward and drawing it up. He merged with the macrosm Brahmanda, who exercises power over Vayu. He should have command over Vayu, Bindu, Chitta, and Chakra. Ida, Pingala, and Sushumna Nadis are the three Nadis, and once they have been cleaned, they are prepared for Kundali Jagarana. From Muladhara to Agna Chakra, the Kundali Jagarana procedure here will cause one to eliminate Adibhoutika, Adhyatmika, and Adidaivika, collectively known as Trividhadhukha. It has been discovered that knowing the significance of these Shatchakras is beyond the mind. The applied element of these Shatchakras is highlighted, each Chakra is awakened, and ailments of the corresponding organs are treated. In the Yoga Shastra, the Shadchakra has been given much attention, and both its therapeutic and preventative elements have been emphasised. Therefore, Shadchakra is crucial to Shareera Vignana's application.

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Shadchakras, Trividha Dukha, Hathyoga, Patanjali Yogasutra

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Various machine learning algorithms for sentiment analysis are discussed in this study. There are various Machine learning classifiers such as Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, KNN, and deep learning classifiers were used to analyze sentiment. We notice some articles in this paper that are assisting young investigators in determining the best path for further study. Various social networking sites, E-commerce sites like Amazon and social media like Facebook, Twitter, and Instagram is popular platforms for users to express their views on many topics. Sentiment analysis employs a machine learning approach and provides a precise assessment of people's feelings without the need for human intervention. The Sentiment analysis divides the text into three categories: positive, negative, and neutral. This paper proposed a machine learning algorithm random forest and Support vector machine for analyzing the sentiment of and classifying the positive, negative, and neutral sentiments over Amazon product reviews.

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Social-Media, Machine Learning, Sentiment Analysis, Opinion Mining

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Medical science and medical facilities are divine but at the same time waste generated from it, if not treated and disposed properly then it becomes dangerous for our life and also for our environment. It has direct impact upon human health and environment. Outbreak of COVID-19 pandemic in the whole world result in rapid influx of Bio-medical waste (BMW). It is a viral disease and spread very fast. COVID-19 BMW (C-BMW) contents mainly personal protective kits (PPE), chemicals, masks, single used plastic, rapid antigen kits (RAT Kits) and many others and come under the yellow category BMW (Y-BMW). This paper focuses on massive amount of BMW produced during COVID-19 pandemic in my study area. This massive amount of BMW becomes alarming issue. Central pollution control board (CPCB) developed a software named ''COVID-19 BMW'' for waste tracking which can track BMW at the time of generation, collection and disposal.

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C-BMW, COVID-19, pandemic, RAT Kits

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Cardiomyopathies are diseases of the heart muscle that affect mechanical and/or electrical function and cause dilated, hypertrophic, or restricted pathophysiology. Dilated cardiomyopathy (DCM) affects the structure and operation of the heart muscle and is a non-ischemic disorder. The clinical picture of DCM consists of left or biventricular dilatation and systolic dysfunction without coronary artery disease, hypertension, valve disease, or congenital heart disease2. In addition, arrhythmias (irregular heartbeats) and blood clots in the heart can result from dilated cardiomyopathy.

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DCM, DM-II

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The face is an important part of human body and can recognize a person by using faciaI features biometrically, the system can be used. The Intelligent Attendance System is a realworld solution that goes hand in hand with managing employees' daily activities. In order to overcome this problem and to work more easily, this process is used for students in classroom using some face recognition algorithms and OpenCV (Open Source Computer Vision). The model combines cameras that capture input images, algorithms that detect faces from input footage, encode and recognize the faces, and mark participation in classrooms. The results showed that smart attendance management improved its performance. Attendance is marked after the student ID. The system offers more solutions and more accurate results than the existing joins and leave management in the conversation with user.

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OpenCV, Camera, LBPH, Attendance, Biometric, Face recognition.

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