Volume 10 | Issue 9

 Abstract

Ecotourism means a sustainable economic development and protection of cultural and natural heritage of our country.This study focus on the role of ecotourism in Sikkim,the ultimate ecotourism destination.

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 Keywords

Community,ecotourism,

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Gond ,Korku, Bhill, Pardhan, Madia are some tribal communities settled in the hills and forest of Maharashtra. The area called Gondwan has the largest number of Gond and Pardhan communities and once they had their territory there. During the course of time, they lost their script but they were able to preserve their dialects and culture which is rich and erotic. There are several folk songs that they sing on the festivities and cultural gatherings. Now, due to the spread of education and facilities many talented poets and writers from the communities have come forward and produced a lot of literature, particularly poetry. They used Marathi script for their poetic expressions. The poets like Vitthalsing Dhurve, Prof. Kannake, Vaharu Sonawane, Dadaji Kusram and Shri Tulsidas Bhoyar are some of the gems whose poems in their respective dialects edited by Dr Vinayk Tumram have been taken for the study as a part of a project on translating tribal literature into English. This research article is an attempt to bring fore the tribal consciousness expressed by some tribal poets in Gondi, Kolami, Korku, Bhilli and Halbi dialects by translating them into English. Hopefully, it will provide an international platform to these tribal sense and sensibilities and bring before the developed world community the richness of rebellious thoughts and beautiful cadence of content essential in their short but simple compositions.

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 Keywords

Consciousness, dialects, tribal, aboriginal, primitive

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Creative Commons Attribution 4.0 and The Open Definition

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Preventing privacy and personal information leaks has become a difficult job as smartphone usage has grown quickly. Impersonation is one of the main effects of such leaks. Due to the inability of current preventative measures (such as passcodes and fingerprints) to continually monitor usage and determine if a user is permitted, this kind of unlawful usage is practically hard to stop. Unauthorized users would have complete access to the devices after they were able to circumvent the first security measures, including utilising passwords they had previously stored to get into valuable websites. We introduce KOLLECTOR, a brand-new framework for detecting impersonation that uses a multi-view bagging deep learning method to gather data on successive tapping on a smartphone's keyboard. For continuous user authentication while typing, we build a sequential-tapping biometrics model. We assessed statistically. The results of our comparison between our model and widely established shallow machine techniques show that our system outperforms other methods and can reach an 8.42% equal error rate, a 94.24% accuracy, and a 94.41% H-mean using only the accelerometer and five keyboard taps. We also test the method with only three keyboard taps and discover that it still produces excellent accuracy while providing more possibilities to make more decisions that might lead to more accurate final judgments.

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 Keywords

KOLLECTOR, Fingerprints, Smartphone, Deep Learning Models, Classification, Authentication.

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Creative Commons Attribution 4.0 and The Open Definition

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A STUDY ON SATISFACTION OF BUSINESS OWNERS WITH RESPECT TO LOGISTICS SERVICES ABSTRACT Indian textile and garment industry has its significance not only in the Indian market but it has its recognized presence and high stature in the global market also and it is one of the leading textile and garment industries in the world. The structure of the Indian textile and garment industry is full of variability having the players at every level of their supply chain with lot of structural, operational and performance differences. The Indian garment industry is among the top industries of the sector in the global market, its structure in the Indian conditions is full of diversities and it faces many infrastructural issues and differing structures of players involved at every level. In short the service providers are classified as 1PL, 2PL, 3PL and 4PL which are co-ordinated for supply Chain activities. These service providers are poised to grow and modify with smart working practices which would satisfy the demand raised. Over the years, these service providers have made the garment waits to collaborate, connect and engage with them for business profits. The 3 PL service providers in the coming years will well understand the paradigms of change in the business operation and more enthusiastically to cater the needs of the business clients. If the service provider focus on customer approach, It systems, strategic core theory then these providers will be the best bench mark in the industry for best supply chain solutions.

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 Keywords

Logistics, Service providers, Network redesigning

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Emotion may be displayed in a variety of visible ways, including voice, written language, gestures, and facial expression. Text document emotion detection is essentially a content-based classification issue that incorporates ideas from both the machine learning and natural language processing fields. Most users utilise a variety of social media sites to convey their present feelings, which they may do through text messages, photographs, audio, and video. The user will often attempt to read our material before attempting to determine the present emotional state of that specific shared OSN user. In this study, we create a model that automatically recognises emotions from textual input and classifies them depending on those emotions on textual data is identified automatically and the appropriate emotion is classified based on the keywords which are entered in that input text.

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DETECT AND ANALYZE THE EMOTIONS FROM TEXTUAL MESSAGES

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The paper's objective is to investigate the difficulties associated with teaching English at Tamil Nadu's engineering institutions. Additionally, it details the challenges English instructors encounter while creating their distinctive curricula. The ability to handle the difficulties of teaching the subject. Language instructors play a key function because as being difficult for the pupils under the current situation. The investigational article highlights the difficulties encountered. by English teachers while creating the curriculum. The next step is the analysis of the challenges that Even teachers strive to improve their skills. Teachers need to understand the importance of teaching English in a shift in competency in the engineering environment. Work is required of English-speaking engineering and technology educators. Instructors would be required to put in their best endeavors to equip the students to confront the difficulties on a broad scale and it is difficult to demonstrate.

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 Keywords

Indigenous people, foreign language ,language policy, other tongue, limited English proficient

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Brimonidine Tartrate, Recovery, UV-Visible Spectrophotometer.

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The challenging process industry requires true power for its smooth functioning and here comes the importance of good power or power. The term Power Quality (PQ) aims at supplying true power to the process. The scope of the power quality increased with the introduction of newly designed sophisticated devices like computers and microcontrollers. The performances of these devices are extremely sensitive to the various power quality problems. The mainly occurring PQ problems are voltage sag, voltage swell, voltage flickers, harmonics distortions etc. The concept of power quality became increasingly complex and vital with the introduction of recently designed sophisticated and sensitive devices, whose real time performance is extremely subjective to sensitiveness of the supply. Power Quality (PQ) has turned to be a serious issue to electricity consumers at all levels. Power quality is a major concern to electricity consumers today. The sensitivity factor of the power electronic equipment and non-linear loads to the input excitations voltages are widely used in process control as well as individual consumers which lead to the PQ problem. The paper gives a brief review in accordance with relevant literature surveys classifies the various electric power quality disturbances using wavelet transform analysis. The survey includes detection voltage disturbances and categorization of the type of event. The power quality analyzer is designed and used to measure the occurrence and classification of PQ events. Malfunction of the equipment will happens when the power failure occurs. Several signal processing techniques for the detection and classification of these disturbances are studied and discussed here. The detection techniques are mainly based on signal averaging, RMS method, Kalman Filter method, Fourier Transforms, Wavelet Transforms etc. Wavelets and fast Fourier transforms are of major importance in the classification

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Power Quality Disturbances

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Abrus Precatorius, often known as Indian liquorice, is an herb referenced in the Samhita and other Ayurvedic writings. It is classed as Upavishas (semi poisonous medicine) in the Rasashastra scriptures and as Sthavara Visha (inanimate poisons) in the Samhita. Poisons are utilised therapeutically as medicine following the shodhan treatment, despite their severe and dangerous effects. The Shodhan method cleanses the medication while simultaneously reducing its side effects. This form of toxicity was assessed using a pharmaceutical study of Gunja (Abrus precatorius) to investigate the purification process in a methodical and scientific manner. After Dolayantra performed Shodhana on both varieties of Gunja Beeja, this study was conducted. After Shodhana, the colour of all six samples has altered. When Abrus Precatorius is used in formulations after adequate purification, it can have amazing results in a variety of diseases.

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Gunja, Ayurveda, Sodhana

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The multiply-accumulate (MAC) architecture presented in this study makes use of Vedic mathematics to achieve excellent efficiency with minimal space requirements. While several MAC designs have implemented partial product reduction in multipliers to cut down on latency, this has introduced the additional challenge of dealing with overflow during the addition phase. This architecture, while efficient and advantageous to performance, is made in a sophisticated manner. To address this issue, we present a novel strategy that achieves state-of-the-art performance in terms of both space and delay. With the help of the ancient Indian mathematical treatise Urdhva-Tiryagbhyam sutra, we've developed a multiplier that saves the prior value in one register and uses the current value in the other, establishing a MAC architecture that saves valuable space by using only two input registers. The multiplier is an essential part of any high-performance MAC because it is used in digital signal processing systems and general processors. Finally, we will evaluate the efficiency of the proposed method versus the existing one.

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Vedic Mathematics, Vedic Multiplier, Urdhva Tiryagbhyam, MAC.

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The COVID-19 pandemic has affected educational institutes worldwide to recourse an online multimedia instructional learning as a mode of teaching and learning. Therefore, throughout the globe there has been an increasing inclination among the students to use different modes of multimedia instructional technology for learning through online mode. The last two decades have witnessed a revolution due to onset of technology. It has changed the dynamics of educational institutes and influenced the educational system and the way people interact and work in the society. This rapid rising and development of information technology has offered a better pattern to explore the new teaching learning model. Using multimedia to create a context to teach communication skill has its unique advantages. As a result, Multimedia technology plays a very crucial role in teaching and learning. This paper aims to analyze the necessity and role of multimedia technology in online learning and the challenges faced by teachers and students in using this technology during the pandemic of Covid-19.

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Multimedia Technology, Learning, Covid-19

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Abstract: The construction industry plays a significant role in the social and economic development in our country. Safety in the construction industry is considered as the major issue in the development and developing countries. The construction sector suffers recently from poor safety and health condition. As safety rules do not exists and work hazards at the workplace are not perceived. By implementing safety management is to promote working conditions and work practices that will assure all employees of a safe and healthful work environment for all construction activities. The construction industry has always been considered as one of the most dangerous industrial sectors the construction industry is one of the most hazardous industries suffering from high on-site accident rate. A lot of safety hazards result from the activities of construction workers. The major objective of the project is to identify various factors affecting safety management at construction industry. A literature review and factors recommended by experts in different areas of interest were considered to categorize the factors. 10 different factors were identified. Identifying the danger zones using Haar- cascade algorithm. Based on the detection workers are identified from the danger zones.

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 Keywords

Construction Industry, Relative Importance Index, Safety Management, Influencing Index

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Synthetic aperture radar (SAR) is a notion that the creator of this project describes for detecting ships from satellite-taken sea photos. Using the Faster R-CNN (Region Based Convolution Neural Networks) Algorithm, ships may be located in SAR photos. The VGG ImageNet Network's ship photos will be used to train the RCNN algorithm, which will then extract features from the images based on the images' height, width, and colour channel. Convolution neural network (RCNN) filter train pictures features map from several layers. The train vector will be kept with every object detection from the picture with a value of 1, and all background features will be marked as 0. Every time a new SAR test image is uploaded, the RCNN algorithm will use the train vector to find objects with ships. The project's goal is to create a deep learning algorithm that uses SAR images as an input and processes it in segments. The application will show the same image in the console window when the procedure is finished, with marks if any objects that are ships are discovered; otherwise, the same image will be shown without any alterations. By conducting various experiments on our proposed system by collecting some sample ship images from KAGGLE website, we can train the application and then test the application on sample ship images. Here I used Google Collab as platform to execute the proposed application on some sample SAR images and find out the efficiency of our proposed application.

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 Keywords

Region Based Convolution Neural Network, ImageNet, Synthetic Aperture Radar(SAR),KAGGLE.

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 Abstract

It is observed that most of the building constructions are left incomplete due to many reasons and people start living in before the construction work is over. Sometimes the walls may be left incomplete, sometimes the flooring, painting, plastering may be left incomplete. But in most cases it observed that the pillars are left Fragmented on the top roof of the building without laying slab or walls. This study aims in finding the reasons for leaving the Pillars Fragmented on the roof and to analyse the consequences the people experience in their life. The study reveals that, due to leaving the pillars Fragmented on top of the roof there shows a negative impact on physical, mental, and financial wellbeing of the people in the society. For this study the author has chosen 200 buildings that include residential and commercial and have adopted descriptive research design and technique for analysis.

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Building, Fragmented, Owner, Pillars, Roof

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Creative Commons Attribution 4.0 and The Open Definition

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yoga, physiological health, psychological health, quality of life

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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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football, handball, motor abilities

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 Abstract

The issue of toxic waste has grown to be one of great concern because it is harmful to both the environment and human health.

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Waste, Environment, Hazardous industries

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Presently, water pollution has become one of the most significant complications by diverse toxic contaminants worldwide. Copious plans have been adopted by industries to treat wastewater prior to its release to the ecosystem, and some assorted new notions and technologies are speedy restoring the traditional methods. In recent decades, nanotechnology has attained broad attention and various nanomaterials have been instigated for the water remediation. Refinement of shape, nature, and size is regularly provides unique physicochemical and surface properties that accord themselves to novel utilization which makes them suitable for applications in wastewater treatment and for water purification. This article shortly reviews the latter application of nanotechnology for wastewater treatment.

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Biological treatment, Contaminants, Nanomaterials, Nanotechnology, Wastewater.

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The purpose of the present study is to validate the items to measure Mental Accounting & Loss Aversion (Prospect Theory), Herding Bias, Overconfidence Bias, Recency Bias , Self attribution Bias, Anchoring Bias , Representative Bias, disposition effect, ostrich effect and status quo effect as antecedents of investment decision making. The study collected response from 107 equity investors. Initially the scale items were 36 of behavioural Biases and 6 items from Investment performance ). Out of 36 , The instrument of thirty five (35) items and out of 6 items 5 items of Investment Performance are finalized after applying confirmatory factor analysis using AMOS version 16. Further study may be carried out to use the validated items of variables using descriptive analysis and investigate the interrelationships of the variables.

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 Keywords

Investment Decision Making, Investment Mental Accounting & Loss Aversion (Prospect Theory), Herding Bias, Overconfidence Bias, Recency Bias , Self attribution Bias, Anchoring Bias , Representative Bias, disposition effect, Ostrich Effect and Status Quo effect

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To ensure that everyone is able to exercise their right to vote, the "Vote from Anywhere" system employs cutting-edge technology. The voter enters their Aadhaar number onto a display linked to a Raspberry Pi. The voter is next required to scan his fingerprints, which are checked with those already stored in the Aadhaar database. Before an election, the administrator may log in with their user id and password to the online portal and add candidate information. The admin has the ability to modify and remove the candidates' data. Furthermore, we have implemented encryption methods to ensure that voting is conducted in a safe environment. So, in order to prevent people from voting for the same candidate more than once, the system receives a request to deactivate the user and an encrypted vote tally from each voter before sending both to a centralized database.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RASPBERRY PI VOTING MACHINE USING GUI PYTHON,Raspberry pi,Voting machine,IOT

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Creative Commons Attribution 4.0 and The Open Definition