DEVELOPMENT OF INTELLIGENT SELF-BALANCING E-BIKE USING MACHINE LEARNING

The self-driving autonomous cars is becoming an increasingly popular concept all around the world but the area of self-driving two wheelers is still under developed. For developing countries like India, two wheelers are affordable than cars for most of the population. The project aims at developing intelligent self-balancing bike using artificial intelligence because the major problem in developing an autonomous bike is in the area of balancing. Even though there are many working mechanisms available for self-balancing of bike, the implementation of AI will be an edge over others from the point of computational power requirement and the programming complexity incurred. A prototype of the bike was developed with reaction wheel mechanism for self-balancing. The mechanism was fully controlled by AI by preventing the need of explicit programming for balancing which was the earlier technique used in self-balancing bike. Reinforcement learning, a type of machine learning technique is adopted for this purpose. The policy gradient algorithm was used to make the bike learn by itself for balancing. Even though the AI algorithm worked well in the virtual environment (balancing a cart-pole) it fails in the real environment. (i.e. it fails to balance the bike). It is because of the noisy data from the sensor, which gives inaccurate information about the orientation of the bike. The noise in the data is due to the vibration of the body when the reaction wheel rotates. This could be solved if the AI is fed with accurate information about the orientation of the vehicle.

A Systematic Review of Detection of Diabetic Retinopathy using Machine Learning Approach

Diabetes Mellitus causes diabetic retinopathy (DR). It can cause blindness if not diagnosed early. Disease diagnosis is an essential and highly scrutinized biomedical field in which machine learning has been significantly used. Recently, machine learning has emerged as one of the most widely used approaches for improving performance in various areas, including medical image analysis and classification. This research compares several machine learning experiments based on the accuracy and sensitivity of retinal fundus pictures acquired by the fundus camera to assess several strategies for identifying Diabetic retinopathy. Inflammatory illnesses in the posterior portion of fundus photography are followed by retinal imaging. In particular, machine learning and deep learning are cutting-edge technologies well-suited for data analytics applications in the medical field. The results were compared to those of other approaches such as deep neural networks and other best practices. This work will be beneficial to researchers who want to apply their research in this field. During this research, we have gone through several research papers. This paper includes findings from other researcher’s studies, which have been summarized to present their pros and cons for disease diagnosis

Numerical Analysis of Aluminium Oxide Nano Particles with Biodiesel in a Diesel Engine Fitted with Hemispherical Groove in the Piston

For proper combustion, bowl in the piston geometry plays a crutial role when the engine valves are in closed position. In the present work, the combustion geometry is of hemi-spherical groove in the upper region of the piston.simulations weres conducted for different blends( b20+al40, b20+al80) to analyze the combustion features in a four stroke diesel engine using ansys r18.1 software considering above geometry of the piston. . Pertaining to greater amount of density, viscosity of biodiesel blends, variations for b20+al80 render more performance than the biodiesel. Turbulent kinetic energy of both the fuels follow similar trend due to proper mixing of air with the fuel from fuel injector.

POST-INDUSTRIAL DEVELOPMENT PERSPECTIVES OF EDUCATION

The article notes the relevance of looking out for the theoretical and methodological designs explaining the new realities in the field of education and perspectives for the development of post-industrial education in the condition of non-linearity of social life, and radical transformation of the problems faced by the people. The study of the education’s post-industrial development perspectives allowed the author to conclude that the consideration of socio-cultural factors and the convergence of education systems will become crucial in the future. The author substantiates his conclusion that the convergence of education values, the issue of forecasting and development of new complementing each other forecasting methods in education will become relevant issues in the future

THE INIMITABLE BLEND OF POETICS AND POLITICS: READING NARENDRA MODI AND PABLO NERUDA AS THE POETS OF PEOPLE

This research explores and contributes to knowledge pool of poetry and polity in the creative literary work of Narendra Modi and Pablo Neruda. It traces the course of discovering the poet's expression as the journey within, a divine communion with cosmic consciousness an idea of nation building and collective harmony. This quest of comparative reading of Narendra Modi and Pablo Neruda as poets of people began long back in 2011. I am glad to present this study after working on it gradually for long, I have selected to study few poems from Modi’s Blessed are these Eyes/ Ankh Aa Dhanya Chee and Neruda's Spain in Our Hearts/ Espana En El Corazon, as a more radical investigation into the possibilities and limits of poetics and politics as field of human activity. Focal points of the paper are:  How and why poet Narendra Modi and leader Narendra Modi, is promising. Why and how poet Pablo Neruda and leader Pablo Neruda appeals.  Their works reflect that the poet in their individuality chant about internal order of man, while the leader relates to the external well being and ordering of men.  A quest for internal order in a given epoch coincides with the external ordering and this finally leads to construction of better society, newer nation and a novel world.  An anatomizing of Narendra Modi‘s and Pablo Neruda’s sensitiveness towards Nation, it‘s people and the vocalization of their devotedness through literature.

Designing and Validating English Humor Comprehension Test and Establishing its Relationship with EFL Learners’ Humor Styleand Achievement

Humor is a complex and dynamic mode of communication that serves a number of important social functions.It has been claimed that humor is helpful in the context of learning. The present study aimed at constructing and validating a test to measure learners’ English humor comprehension ability and establishing its relationship with their humor style and achievement. This study is comprised of two phases including the validation of questionnaires and the correlational survey. The participants for the validation phase were 275 Iranian advanced English language learners and for the second part were 210 learners from both genders. This study utilized two tests and one questionnaire which are Preliminary English Test (PET), English Humor Comprehension Test, and Humor Styles Questionnaire (HSQ).The results of confirmatory factor analysis indicated that English humor comprehension test with 19 items and three main sub-constructs (Quantity, manner, and relevance)is a valid and reliable test. In addition, it was revealed that both humor comprehension ability and humor style are positive significant predicators of learners’ language proficiency. Finally, a positive significant correlation was found between humor comprehension ability and humor style.

SUPREME COURT BANS CRACKERS: JUDICIAL ACTIVISM AND IMPACT ON DELHI AIR POLLUTION USING TREND ANALYSIS

One of the prime concerns of all the growing economies around the globe is a environmental hazard. Due to the trends of industrialization and globalization, every economy is facing the challenges of increasing pollutants concentration in their natural environment and India is no exception. The capital of the country is having the worse levels of pollutants in its air making it dangerous for human habitation. This has been further brought into limelight recently towards 2017-year end, when the city experienced worst levels of air pollution, popularly called as the Great Smog of Delhi. All the stakeholders have been taking measures from time to time to control the emissions of pollutants but their effectiveness is still questionable. This paper concentrates on the case study of impact of banning of firecrackers by Supreme Court of India around Diwali period. This is evaluates by using trend analysis technique on last 12 years’ concentration of SO2 , NO2 and PM10 for three major locations of Delhi

BANKS EFFICIENCY, OWNERSHIP TYPE AND LISTING STATUS IN GULF COOPERATION COUNCIL COUNTRIES: A CROSS-COUNTRIES ANALYSIS

Using data from 2005-2013, this paper analyzes banks efficiency across the GCC countries. This study examines the efficiency of GCC conventional and Islamic banks across the GCC countries while considering the impact of ownership type and listing status on banks efficiency by employing the Data Envelopment Analysis (DEA) and a second stage Tobit regression analysis with bootstrapping. It is found that GCC conventional banks are by far more efficient than GCC Islamic banks and this conclusion holds across all GCC countries. It is also found that GCC state-owned banks outperform the GCC private-owned banks in general and across all GCC countries; and interestingly, GCC listed banks were less efficient than GCC unlisted banks. More, the main source of inefficiency in GCC banks was the scale inefficiency and GCC banks exhibited a decreasing return to scale. Therefore, GCC policymakers and regulators should not support any expansionary strategy in their banking industry.

MICROBIOME DIVERSITY IN THE SALIVA RELATED ORAL AND SYSTEMIC DISEASES

This review aimed to evaluate findings related to the human normal salivary microbiomes, the presence of opportunist salivary microbiome concerning oral and systemic diseases, and the use of salivary microbiome metagenomic analysis. Method: This review accomplishes using PubMed, Science Direct, and Google scholar. After reading the titles and abstracts, 2.718 works of literature screens for this review, content analysis performs. Results: Human normal salivary microbiomes consist of yeast, gram-positive, and gramnegative bacteria. A commensal microbial community founds in healthy people. An opportunist microbial community establishes in unhealthy people. It is essential to note an association between the opportunist microbiome composition with the personal health condition. Specific opportunist microbiome relates to particular diseases, such as diabetes, respiratory diseases, cancer, autoimmune, and viral infections. Even is different results of the conventional method and the modern methods (metagenomic analysis), both approaches can determine the presence of specific opportunist salivary microbiome concerning certain systemic diseases. Conclusion: Salivary microbiome composition can be a biomarker for people's health conditions and various systemic diseases. Both conventional methods and the modern method can be used complementarily for biomarker determination.

INFIDELITY AND FAMILY VIOLENCE: APURÍMAC CASE

The objective of the research is to determine infidelity and family violence, the method used was descriptive of a quantitative approach, applied type research, with a level of descriptive research, nonexperimental, transactional design. The population was made up of 130,900 thousand family households, and for the collection of information a probabilistic sampling of a stratified type was made of 383 samples from the seven provinces, for which the Infidelity Tendency Questionnaire (T-IFD) was applied. ), aimed at diagnosing emotional problems. The results obtained on the incidence of membership need is 66.34% of people who experience family violence; and as for the incidence of Prejudice in the Apurímac region, it is 67.72%. The incidence on the Lack of Dialogue of the respondents is 71.12% with a tendency to seek new experiences and on the incidence of Search for new experiences, there are 66.58% of the respondents and what the incidence of family violence is at 14.3% at the level of the Apurímac region are observed with a higher incidence of intrafamily violence. Concluding infidelity is high, such as the need for belonging, prejudice and lack of dialogue, and a high percentage that seek new experiences and that somehow affects family violence.