Volume 10 | Issue 12

 Abstract

A globalized world is one in which political, economic, cultural and social events become more and more extensively and more and more deeply by events of others society. In simple terms ,globalization refers of citizens and nations across the world. Globalization represents the global integration of international trade, investment, information technology (IT), and cultures. It is driven by government policies designed to open up economies domestically and internationally to boost development in poorer countries and raise standards of living for their people. However, the international free market that has been created as a result of these policies has mainly benefited multinational corporations in the Western world to the detriment of smaller businesses, cultures and common goods. Globalization is also a social, cultural, political and legal phenomenon. In social terms, globalization represents greater interconnectedness among global populations. Culturally, globalization represents the exchange of ideas and values among cultures and even a trend toward the development of a single world culture. Politically, globalization has shifted the political activities of countries to the global level through intergovernmental organizations such as the United Nations and the World Trade Organization. With regard to law,

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IMPACT OF GLOBALIZATION ON THE INDIAN CULTURE AND ECONOMY

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WAAM has been proven a promising alternative to fabricating medium and wide-scale metal parts with a high depositing rate and automation level. However, the production quality may deteriorate due to the poor deposited layer surface quality. In this paper, a 3-D profilometer is used for surface roughness measurement. To improve the surface integrity of deposited layers by WAAM, different machine learning models, including ANN, Decision tree, Random forest regression, and linear regression, were developed to predict the surface roughness. Furthermore, the ANN model was optimized by using a different number of hidden layers and adam optimizer. Complete factorial experiments were conducted to obtain the training data, and the K-fold Cross-validation strategy was applied to train and validate machine learning models. The comparison results indicate that Random forest regression has superiority in predicting surface roughness. The RMSE, MAE and MAPE for Random forest regression were 65.0021, 1.93516, 14.15% respectively. This study could also provide inspiration and guidance for surface roughness modeling in multipass arc welding and cladding.

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surafce roughness, wire arc additive manufacturing, machine learning, artificial neural network

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The main purpose of this project is to build a face recognition-based attendance monitoring system for an educational institution to improve and upgrade the current attendance system to be more effective and efficient than before. The current old system has many ambiguities that caused inaccurate and inefficient attendance taking. Many problems arise when the authority is unable to enforce the regulation existing in the old system. The technology behind this will be a facial recognition system. The human face is one of the natural features that can clearly identify an individual. Therefore, it is used for identity tracking because the possibility of face deviation or its duplication is low. In this project, databases of faces will be created to pump data into a recognition algorithm. Then, during the face-to-face session, the faces will be matched against the database to search for identity. When an individual is identified, their attendance will be automatically downloaded and the necessary information saved in an excel sheet. At the end of the day, an excel sheet is sent to the respective faculty with information on the attendance of all individuals.

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Smart Attendance System, CNN, OpenCV, Face recognition.

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Abstract: Indian mythology is founded on some archetypal signs, symbols, and rituals, similar to any other mythology. Symbols and myths are related, and this relationship is constantly up for debate. It is best to think of symbols as tools that facilitate understanding and communication of concepts. Symbols can have multiple meanings and are always effective when used in context. The major symbols in Amish Tripathi's Shiva Trilogy are examined in this article. The Shiva trilogy is a compelling book series that explores religion and philosophy, the eternal conflict between good and evil, and the moral quandaries that frequently accompany such arguments. It is a superb blend of myth and history. Amish have made an effort to use science and logic to interpret well-known symbols in the trilogy,a superb blend of myth and history In the article, the metaphoric potency of symbols in both historical and contemporary human imagination is examined.

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Myth, symbol, Science, Metaphor, Shiva, imagination

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To generate electricity, solar cells use either photovoltaic effects or chemical reactions to transform solar energy into heat or chemical power. Solar panels are made up of cell configurations that are used to create solar modules that gather energy from the sun. Processes for large-scale production that can be scaled up A flexible, semi-transparent, and low-cost organic solar cell (OSC) is a promising alternative to traditional photovoltaic cells. The effect of solar-cell thinness and doping concentration on the cell characteristics of TiO2 and GaAs photovoltaic cells was investigated with the use of SCAPS. However, these cells' performance of power transmission remains modest. We ran simulations of n-TiO2/p-GaAs using the SCAPS-1D software. Thin-film solar cells made of n-TiO2/p-GaAs. We assessed a few certain n-TiO2/p-GaAs thermal impact, phase density at the interface, metal work function and other heterojunction factors and Cross-section of electron and hole capture. Our findings demonstrate that raising the density of states of p-type GaAs layers and decreasing user's metal casting functionality can improve the performance of n-TiO2/p-GaAs solar cells. Our findings also show that the best design includes TiO2 as a buffer layer, GaAs as an absorber, and thicknesses of x = 2?m, 4?m, 6?m, 8?m, 10?m, 12?m, 14?m, 16?m and 18?m doped with a concentration of 1.00E+17 cm-3 for all compositions. These solar-cells have a performance of 24.99 %, which is potentially higher than what was previously achieved in the Solar-cell research.

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TiO2/GaAs solar cells, Thin film solar cell, SCAPS-1D, Simulation

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Synthesis and characterization of one-dimensional nanostructures have attracted attention primarily due to their potential myriad applications in different fields including magnetic, electronic and optical devices. There are various techniques used in the fabrication of one-dimensional structures but template synthesis is an elegant, versatile and economic method for synthesizing variety of these one dimensional nanostructures, and so on. Highly ordered Ag2S nanowires each having 100 nm diameters were synthesised into the pores of anodic alumina membrane (AAM) template by using direct chemical deposition method. The nanowires were deposited using silver nitrate as a Ag+ ion source and sodium sulphide as S2- ion source . The nanowires were characterized by Scanning Electron Microscope (SEM) and UV-Vis spectrophotometer to see surface morphology and optical band gap respectively. The as- deposited Ag2S nanowires embedded in AAM are black in colour and having optical band gap 0.95 eV.

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Ag2S nanowires; Anodic Alumina Membrane; Optical band gap

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Khaled Hosseini 's novel The Kite Runner gives a vivid picture of diasporic sensibility. This paper first gives a brief introduction to diaspora and then describes how it impacts people. In the novel, The Kite Runner, the main cause of displacement is the war and violence in the country. This paper seeks how cultural factors affect the lives of immigrants. They miss their homeland in the host country, but for the sake of betterment, they face all the hurdles. They have to deal with issues such as social stratification, cultural crises, rootlessness and nostalgia etc. They also suffer from mental trauma; they think that if they adopt the new culture of the host country, they will lose their own culture as well as their identity, so they always spend their lives in a dilemma of whether to be or not to be.

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Diasporic Sensibility, immigrants, social stratification, cultural crisis, rootlessness, mental trauma

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Over the last few decades, historians and researchers have been increasingly inclined to conduct research on the regional history. From that sence, the interest in knowing the history of Manbhum's freedom struggle has been increased. In 1833, Manbhum district was formed through various setbacks. It was one of the largest districts of India and can be said to be one of the areas of the anti-British war of independence. Many leaderships were emerged at the local, regional, as well as at the national level through this anti-British freedom movement. Their dedication, self-sacrifice, sense of responsibility, taking risk of life was no less than the national leaders. Stapping out beyond the boundaries of the four walls, women also joined the anti-British freedom struggle along with men, whose entire history still remained in darkness. Lavanya Prabha Ghosh, who later became famous as Manbhum Janani, was one of the women leaders who came forward to organize and lead the organization of the women of Manbhum in the anti-British war of independence. The article highlights her role in freedom struggle of Manbhum district.

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Manbhum, Movement, Freedom, Satyagraha, Lavanyaprabha, Shilpashram, British, National, Women, etc.

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Eco-consciousness. Eco-criticism, Temsula Ao, Northeast literature

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With the rapid growth of document storage in modern society, handwritten character recognition has become an important research branch in the field of machine learning and pattern recognition. Meanwhile, how to effectively extract and store the information from documents plays a critical role in the document digitization system, especially in terms of ancient literature storage. However, handwritten characters vary with the writers and writing materials, even handwritten texts with the same content may have many differences, which brings challenges to the establishment of a high reliability recognition system. This project seeks to classify an individual handwritten word so that handwritten text can be translated to a digital form. We used two main approaches to accomplish this task: classifying words directly and character segmentation. For the former, we use Convolution Neural Network (CNN) with various architectures to train a model that can accurately classify words. For the latter, we use Long Short Term Memory networks (LSTM) with convolution to construct bounding boxes for each character. We then pass the segmented characters to a CNN for classification, and then reconstruct each word according to the results of classification and segmentation. This work aims to implement a segmentation strategy in the context of handwritten multi-digit string recognition. The LSTM model is built to be evaluated and benchmarked, also research about the effect of the different training sets on model performance is carried out. Finally, the text can be converted to digits, alphabet, and Tamil characters.

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Deep Learning, Hand Writing Recognition

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For the easy and flexible management of large scale networks, Software-Defined Networking (SDN) is a strong candidate technology that offers centralisation and programmable interfaces for making complex decisions in a dynamic and seamless manner. On the one hand, there are opportunities for individuals and businesses to build and improve services and applications based on their requirements in the SDN. On the other hand, SDN poses a new array of privacy and security threats, such as Distributed Denial of Service (DDoS) attacks. For detecting and mitigating potential threats, Machine Learning (ML) is an effective approach that has a quick response to anomalies. In this article, we analyse and compare the performance, using different ML techniques, to detect DDoS attacks in SDN, where both experimental datasets and self-generated traffic data are evaluated. Moreover, we propose a simple supervised learning (SL) model to detect flooding DDoS attacks against the SDN controller via the fluctuation of flows. We verify the outcome through simulations and measurements over a real testbed. Our main goal is to find a lightweight SL model to detect DDoS attacks with data and features that can be easily obtained. In this study, DDoS attacks in SDN were detected using machine learning-based models. First, specific features were obtained from SDN for the dataset in normal conditions and under DDoS attack traffic. Then, a new dataset was created using feature selection methods on the existing dataset. Feature selection methods were preferred to simplify the models, facilitate their interpretation, and provide a shorter training time. Both datasets, created with and without feature selection methods, were trained and tested with K-Nearest Neighbors (KNN) classification models. The test results showed that the use of the wrapper feature selection with a KNN classifier achieved the highest accuracy rate Our results show that SL is able to detect DDoS attacks with a single feature. The performance of the analysed SL algorithms is influenced by the size of training set and parameters used. The accuracy of prediction using the same SL model could be entirely different depending on the training set. This project is developed using PYTHON, PyCharm as IDE, Kaggle dataset.

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Software Defined Network, Machine Learning

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Consumers are said to be the main components of the Kerala economy. Using products that are not harmful to nature is essential for the development of Kerala. Change the existing environmental awareness in Kerala and highlight the environmental responsibilities of the society is essential . Water pollution, air pollution and noise pollution are the main problems that Kerala is facing in today's era. This study shows how knowledgeable the people of Kerala are about environmental products. This study is also a journey to answer the question whether the public in Kerala is reluctant to buy green products or not. This study also tries to find out whether consumers are making interventions in Kerala society in such a way as to promote green products. Through this study green products are studied which are acceptable to consumers in Kerala.

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Consumption behaviour, green product, sustainable goods, environmental awareness, environmental friendly goods

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Compacting of concrete is one of the major concepts in civil construction in day-to-day life. The main factors effecting due to improper compacting concrete causes leakages, corrosion which finally leads disintegration of the structure in order to encounter this conflict we prefer good compacting as also compaction plays prominent role in any civil constructions. based on availability resources and type of construction different methods in compaction is preferred. So based on some critical areas and places where human and machine involvement is restricted in those areas we can go prefer for Self-compacting concrete. This is what my thesis completely talks about the process and requirements that necessary to make the study successful.

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Compacting, Admixtures, Filling ability, Passing ability

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In hilly terrains VANET high speed is the real characteristics which leads frequent breakdown, interference, high noise ratio etc. that further leads to more drainage of the battery. Researchers have elaborated several routing protocols that possess different performance levels. In this paper we studied various Ad hoc routing protocols, Reactive, Proactive & Hybrid, taking in to consideration various VANET parameters like Speed, Altitude etc. in Real traffic Scenario taking battery drainage at the altitude of 1500m. The AODV and DYMO (Reactive), OLSR (Proactive) and ZRP (hybrid) protocols are compared for battery model Panasonic AAA standard using Qualnet as a Simulation tool. Since Energy conservation is main focus area nowadays. Hence performance of the protocols with various battery models counts and helps to make a right selection. Varying parameters of VANET shows that in the real traffic scenarios proactive protocol performs more efficiently for energy conservation leads to minimum drainage.

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VANET, Routing Protocols, Battery model, Qualnet, Nodes.

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The objective of the present paper is to explore the gray areas of father-daughter relationship particularly the incestuous behaviour or overt or covert sexual misconduct between them. Such relationship is found in a dysfunctional family, which implies that emotional and psychological communication between family members are disturbingly impaired because apparently the family may appear nice and disciplined only to cover up the damage. But as a matter of fact father-daughter incest causes severe distress to all concerned. It is prohibited de jure but it is found de facto in families. Under legal questioning/proceedings and psychoanalytic help, incestuous fathers have been found neither criminal, nor degenerate, nor sexually psychopathic. This gross violation of father-daughter incest taboo not only creates confusion in religious order of life, kinship structures, culture and society but also poses a question mark on the nature of sexuality.

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Incest, sexuality, relationship, dys/functional family, society, culture, religion, psychology.

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There are two different sorts of skills that are relevant. The first group of skills is made up of transferable abilities that may be used in any position. Your capacity for success in the job is directly correlated to your level of interpersonal and communication skills, in addition to any and all other traits that you may possess. One of the attributes that are necessary to succeed in this line of work is a strong set of technical abilities. Some examples of marketable soft talents are the ability to use computers, administrative skills, and excellent customer service. Doing some study will help you have a better understanding of the difference between hard skills and soft abilities. Candidates seeking employment in the business sector are often expected to demonstrate an aptitude for good communication not only verbally but also in written form. Employers are always on the lookout for job candidates who have strong interpersonal communication skills since these skills are highly transferable from one role to another within an organization. As a result, working in tourism requires employees to have interpersonal or personal skills; the development of these types of soft skills has emerged as one of the primary concerns for employers in the hospitality industry. The findings of earlier research on the abilities associated with soft skills will be expanded upon in this study, and a practical model will be developed to evaluate the disparities in importance that exist between soft skills and how well they are performed. The Importance/Performance Analysis was utilized so that the differences in opinion regarding soft skills that exist between managers and employees could be investigated. The relevance of an employee's overall performance on their soft skills was plotted against an HR professional's overall score on the importance of their soft skills. In addition to that, this model suggests utilizing radial graphs in order to provide individual feedback regarding soft skill competencies.

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Job Skills, Best Practices, Professionalism, Leadership, Time management, Customer service, Strategic thinking

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ABSTRACT In recent years there has been considerable advancement in the scientific methods of groundwater investigations. Ground water is regarded more like a mineral resource and therefore prospecting for it involves use of geological and geophysical methods. Hence for locating and identifying presence of water bearing formations, applications of geophysical methods is widely recognized. The vertical electrical sounding with Schlumberger array as a low cost technique and veritable tool in groundwater exploration is more suitable for hydrological survey. This method is regularly used to solve wide variety of groundwater problems.

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resistivity, basalt.

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Kutch is a district in the Indian state of Gujarat. This location is well-known for its diverse traditional culture. Rogan painting is the art of painting on cloth that is practiced in NIRONA of Kutch.This painting was created using a thick Rogan color paste that was created by boiling castor oil to create a thick Rogan gel, which was then combined with pre-made pigments to create a thick Rogan color paste. Using a stylus and the prepared color paste, traditional motifs are painted onto the fabric. The most popular colors are red, blue, and yellow. The two most popular patterns are geometric and floral. The Treeof Life and Happiness Concept Workby Rogan painting isan extremely well known. Originally, the Rogan art was only used to create skirts (ghagra), the traditional clothing of the Kutch region. Later, women began creating tablecloths, sofa covers, and dupattas.Rogan art practise supports the village's economy by creating jobs. Around 25 of the 300 girls Abdul Gafur Khatri had trained from various Kutchi tribes were now working for them. India and other countries both have a healthy market for Rogan art.

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Rogan,Tree of Life, Happiness Concept Work,castor oil.

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Alternative medicine and natural remedies have been used since ancient times for the treatment and well-being of humans. Medicinal plants are considered to be effective and most important for the above purposes. Mother Nature has provided us with a huge count of flora and fauna. Some of the natural medicinal plants are so common that we use them in daily life without knowing their medicinal importance. Annona squamous L. is the best example of it. The fruit of this plant is commonly known as the custard apple which is eatable A. squamosa. and human beings were also providing updated facts of phytochemical and pharmacological approaches of the above plant in the present 21st century. A. squamosa L. is a multipurpose shrub tree that is distributed throughout tropical countries and eminently a desert fruit in India. The plant belongs to the family Annonaceae which in Hindi is known as Sitaphal or Sharifa which is utilized for its medicinal properties. The ethnobotanical traditional uses include wound healing, lice repellant, and treatment of dysentery and urinary tract infections. Phytochemicals include alkaloids (benzoxyquinazoline, salsolinol, coclaurine), terpenoids (annomosin A, annosquamosa in A), glycoside (quercetin-3-glucoside), essential oil (bicyclogernacrene, T-cadinol), flavonoids (kaempherol, farmarixetin) tannins, and much more responsible for pharmacological action of plant parts are fruits, seeds, leaves, bark, and flower. Information on medicinal uses and organoleptic properties of various pharmacologically active parts is also provided. The leaves are used as a vermicide, for treating cancerous tumors and are applied to abscesses, insect bites, and other skin complaints. Scrapings of root bark are used for toothache. Powdered seeds are used to kill head lice and fleas but care should be taken that the powder does not come in contact with the eyes as this causes great pain. The present article discusses the updated information regarding distribution, plant parts used, chemical constituents, and morphological and pharmacological importance of this plant hoping for exploring better medicinal value

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Annona squamosa, Custard Apple, Phytochemistry alkaloids, phytochemical screening, ethanol, extract, antidiabetic.

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Abstract: Poor psychological wellbeing impacts negatively on the functional life of individuals and leads to disability and disorder and unexpected behaviour. Globalization and technological advancement has made life very fast which has brought psychological problems which has become a global concern. To address this problem various therapeutic methods are available. But it is a requirement to find out an alternative method to address the problem which is easily accessible and cost-effective which can promote mental health and prevent risk factors affecting mental health. Anxiety, a common mental health issue, is a natural response of body and mind to stress and is an unpleasant emotional experience. When it becomes chronic and of greater intensity or duration, it becomes a disorder and leads to impairments and disability. Anxiety can cause stress and depression and so reduction and management of anxiety is necessary for promotion of mental health. Various research showed that music is considered as an effective alternative treatment for anxiety as it is easy accessible, inexpensive and easy to incorporate in everyday life. the present study tried to assess the impact of music on anxiety management by comparing the level of anxiety between university students studying music and non-music subjects as major subjects. The data analysis tool showed that less number of music students had level of anxiety than the non-music students. The present study revealed that music has the potential to improve and enhance the capability of human being to prevent the stressors that cause anxiety through formal music education. The research suggests music can be used as an effective therapeutic tool for intervention and promotion for management of anxiety.

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Anxiety, music-therapeutic tool, mental health, promotion-prevention, psychological wellbeing

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Creative Commons Attribution 4.0 and The Open Definition