Volume 8 | Issue 6

 Abstract

Integrated Rural block Development is a new approach to rural planning ,which emerges from the fact that past efforts have contributed very little to improving the well-being of people, the concept is based on the notion that such micro planning directly involves the people at the grassroot and the fruits are directly reaped by the participants. As migration of people for the sake of employment and better living are increasing in number, and when it fails, they lead to become �urban poor�. The present situation of pandemic has taught us a lot, and it is a live example which could be taken to learn how people are suffering from the problem of migration, where they are left with nothing, and the concept of returning back leads to a question of what next, in relation to survival of themselves and family. The main aim of the study is to analyse the development of rural areas and implementation of policies in those areas. People need to get aware of the thought of use of existing resources like agriculture, water and other natural sources, and create self-employment through this initiative and government help. The study area, Vijayawada Rural block covering 187 SqKms and comprising 18 villages, is located in west of Krishna district., well connected with the City, the research is done in the through various data that are collected are discussed, through primary and secondary sources, and analysis of the existing data Obtained from Rurban cluster guidelines and other sources, and the total block is divided into 4 different zones, according to connected villages nearby and strategies proposed therefore, there would be a significant change in the rural development, as tomorrow as a part of urban agglomeration, these villages would become parts of the main city, and hence development strategies suggested would work in terms of �Integrated rural block development planning�

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Rural development, migration, self-employment, analysis, Rurban cluster.

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Particle swarm optimization(PSO) and Ants colany optimisation (ACO) which can be used in optimization problems. This makes a evaluation of the two strategies on a optimization trouble and additionally it helps for PID controller parameters. It is additionally used in the step response of a third order device to get better results. Its described in terms of overshoot, settling time and constant state error. The simulation is carried out the use of MAT LAB. The end result is in contrast with the performance of PID controller tuned the usage of traditional methods like Ziegler Nichols, Tyreus Luyben and Internal control. The proposed PSO based totally PID controller has most reliable aspects like convenient implementation, steady convergence characteristic and good computational efficiency.

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Particle Swarm optimization, Ant colony optimization, PID controller, simulation.

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Abstract The paper aims at analysing the trade scenario of the states of India�s North Eastern Region (NER), in general and Tripura in Particular with the neighbouring countries of India in the regime of �ACT East Policy� to promote economic development of this region. The North-East Region (NER) has been thriving to keep pace with the rest of India in terms of socio-economic indicators due to its geographical isolation. Its Poor infrastructure and limited connectivity has emerged as key constraints to its growth of economic development despites of its plenty of natural resources in-terms of forests and spices, minerals like natural gas, oil and coal, limestone, etc. as well as human resources. North Eastern Region has a strategic location in view point of international trade concern. Geographically this region is situated in the tri-junction of South, South-East and East Asia. Government of India has taken several initiatives to improve connectivity and physical infrastructure to facilitate formal border trade through the NER under �Act East Policy� in 2014. The setting up of modernised Land Customs Centres (LCS) and �Border Haat� are the positive initiatives towards the direction of increasing formal border trade. The official trade between Tripura and Bangladesh started in 1995-96 and import-export trade of Tripura with the neighbouring country of Bangladesh has increased from a meagre Rs 4.12 crores during 1995-96 to about Rs 537.08 crore during the year 2018- 19. In the light of the above, the paper based on secondary data is an effort to highlight the export-import scenario of NER with the neighbouring countries particularly with Bangladesh. Appropriate statistical tools are to be used for analysis of data. The paper is to be divided into three sections. Section- I is introductory in nature, highlighting methodology, objectives of the study and review of literature, Section � II deals with discussion and analysis, Section � III remains for conclusion and suggestions.

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Key words: NER, Border trade, Look East Policy, Act East Policy.

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Speech to Text Conversion (STT), Mel Frequency Cepstrum Coefficients (MFCC), End Point Detection, Linde Buzo and Grey (LBG) algorithm and Vector Quantization (VQ).

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The main objective behind writing this article is to study the revival of the economy in the post Covid period through Indian MSME sector which is considered as the backbone of the Indian economy. Due to the lockdown the hardest hit is the MSME segment with their activity coming to a complete halt. The worst part of this crisis is that the Government and big business together owe these small firms nearly Rs 6 lakh crore. The definition of MSME is revised and the way MSMEs are defined now will bring more enterprises under the purview of being classified as MSME. Covid-19 and the anger against China have made global corporations to actively look to source products outside China. To grab this once in a life time opportunity speed is critical. Current areas of strength should be consolidated and the export to be more diversified. To make the MSMEs atmanirbhar the dues owed to them should be repaid promptly. The industries which are heavily dependent on China must be identified and the MSME sector should be encouraged to become independent of such global disturbances. The new backbone of MSMEs is the technology as in the post Covid world remote access to everything will be the order of the day. There is a need to focus on import substitution to replace foreign imports with domestic production. An important part of larger supply chains are MSMEs and their health has a bearing on the supply chain.

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Lockdown, MSMEs, Export, E-Commerce, Micro Enterprises.

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In the past, human rights have been conceptualized in a way that did not take account of women�s lives and the fact that they experienced violence, crime, discrimination, and coercion. In the past, women followed certain norms and traditions that put many restraints upon them, primarily in the male-dominated society. The work of activists, human rights mechanisms, and States have been critical in ensuring that the human rights framework has developed and adjusted to summarize the gender-specific dimensions of human rights violations to safeguard women in a better way. Efficiently ensuring women�s human rights requires a wide-ranging understanding of the fundamental societal structures and power relations that define and stimulate the ability of women to enjoy human rights. These power structures have an impact on all aspects of life, from law and politics to economic and social policy, family and community life, education, training, skill development, and attainment of employment opportunities.

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Women, Empowerment, Rights, Violations, Education, Development

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The safety measure of women is a major concern due to rising number of crimes. Also, the various hazards caused to life due rise in amount of CO2 is a rising concern, since many individuals prefer using vehicle. Also, due to rise in number of vehicle users, the chances of injury and accidents have increased. This scooty can be a solution to all problems mentioned above. This electric mobility has performance and safety features such as, shock mechanism, spray system, GPS and GPRS, accident alert, collision alert, and side-stand shut off, helmet reminder, dual fuel and solar charging, which are introduced for the safety of the rider. In this paper, a hybrid electric vehicle specially designed for the safety of women is discussed.

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safe electric mobility, shock mechanism, accident alert, solar charging, women safety, hybrid bike.

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The main objective is to develop an algorithm so that we can automatically recognize traffic signs in digital images. This work uses basic image processing technique for automatically recognizing different traffic signs in an image. The proposed method detects the location of the sign in the image, based on its geometrical characteristics and recognizes it using colour information.

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Traffic sign detection, cascade system, fast feature extraction, saliency test.

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ABSTRACT Human rights education is defined as the learning process that builds up the required knowledge, value and proficiency of human rights of which the objective is to develop an acceptable human rights culture. The emphasis on Human Rights Education began in 1995 with the beginning of the United Nation Decade for Human Right Education. Human Right Education is a learning that develop the knowledge, skill and values of human rights with the board goal of building a universal human rights culture. Human rights education will move students for understanding human rights concepts to examining their experiences from a human rights perspective and incorporating these concepts into their personal values and decision-making process. Human Right Education promotes awareness and understanding of human rights issues so that people recognize violations of human rights. It develop skill, ability and attitudes necessary for the defence and respect for human rights, so people do not violate the rights of others. Human Rights Education promote awareness and understanding the idea that human rights provide a framework for negotiating and agreeing on standards of behaviour in the family community, school society and the work. Human Rights Education gives knowledge about the interdependence of civil, social, cultural, economic and political rights. It helps to recognize the absolute root causes of human rights concerns. Actually, Human Right Education gives knowledge about the key concepts such as freedom, justice, human dignity, equality, non-discrimination, sustainability, poverty, democracy, rights, duties, responsibilities, solidarity, peach and interdependence. Human Right Education develops the skill of critical thinking by finding relevant information, appraising evidence critically, being aware of preconceptions and biases. It also develop the ability to work cooperatively address conflict positively and participate in organize social groups. In this present paper researcher highlights 360 degree perspective of Human Right Education.

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Keywords: Human Right Education, knowledge, human dignity, freedom, rights to education.

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�In the current era, opinions and ideologies of people are often expressed through the internet via sites like social media sites, micro blogging sites, etc. Sentimental analysis, a part of text mining is used classify these opinions or sentiments in a positive, negative or neutral manner. For this particular work, the sentiments of the tweets or reviews published in the twitter is identified by specific keywords in tweets. They tweets are then classified as to whether they have a positive or a negative outlook. The sentiments of the tweets are based on a specific selection of tweets. In this paper, we will check the accuracy of different fields such as precision, accuracy, etc, with three machine learning classifiers, namely, Random Forest, Naive Bayes and Support Vector Machine(SVM).

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Sentiment Analysis; Twitter analysis; Na�ve Bayes classifier; Support Vector Machines

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Introduction Refractory status epilepticus (RSE) and super-refractory status epilepticus (SRSE) are serious and frequent neurological emergencies in children associated with high morbidity and mortality. Despite this, we note the absence of published Algerian data. The aim of this work is to determine the demographic data, the etiologies and the factors of progression in RCSE and Super-RCSE as well as the short-term prognosis. Design: Prospective observational study with retrospective analysis of all the episodes of RCSE and Super-RCSE treated between January 1, 2008, and April 30, 2016. Setting: Pediatric Intensive Care Unit, University Hospital of Oran, Algeria. Patients: RCSE is defined as seizure activity that persists after administration of a first-line benzodiazepine (BZD) and a second-line antiepileptic drug (AED). Super-RCSE is defined as �SE that has continues or recurred despite 24 hours of general anesthesia. � Factors independently associated with Refractory and Super-RCSE were established through univariate and multivariable analyses. The outcome was evaluated using the Glasgow Outcome Score. Results: Among 443 patients with status epilepticus, 140 patients (31.6%) were afflicted with refractory status epilepticus and 25 (5.6%) with SRSE. The mean age of the entire cohort was 40.65 � 2.16 months [1 � 180 months].135 patients (33.8%) had suffered previous seizures; RCSE was related to younger age (< 3 years) (OR 1.76; 95% CI 1,018 � 3,058) p=0.043, duration of status epilepticus >2 h (OR 3.096; 95% CI 1, 77 � 5, 39) p= 10??, acute symptomatic etiologies (OR 3.609; 95% CI 2,112 � 6.166), Severe consciousness impairment (GCS < 13/15) before treatment (OR 18.55; 95% CI 8,202 � 41.972) p= 10?? and Non respect of the therapeutic protocol upstream of PICU (OR 3.659; 95% CI 1,926 � 6.949) p= 10??. Super-RCSE was independently associated with age greater than 3 years (OR 3.28; p=0.018), indeterminate etiology (OR 6.628; p=0.009), encephalitis (OR 4. 782; p=0.003) and use of Vasopressor medications (OR 4.239; p=0.007). Overall mortality was 83 (20.75%). Conclusion The etiologies of CSE are heterogeneous, with significant incidence of RCSE in acute symptomatic group. Encephalitis was the determinant of progression of CSE to Super-RCSE. The therapeutic success of which depends on whether or not the cause of CSE can be treated.

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Refractory status epilepticus; Super-Refractory status epilepticus; Etiology; PICU; Outcome; Children.

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Gum Ghatti is obtained from the bark of Anogeissuslatifolia. It is the native tree gum of India. It is a simple and friendly method to obtain the synthesis of silver nanoparticles from silver nitrates and Gum Ghatti used as reducing and stabilizing agents. UV�visible spectroscopy, transmission electron microscopy, FTIR-spectroscopy, Raman spectroscopy and X-ray diffraction analytical techniques are used to characterize the synthesized nanoparticles. In this review article we will give an overview of the Gum Ghatti based synthesis of nanoparticles and their biological activity.

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Silver nanoparticles, UV-visible spectroscopy, X-Ray diffraction, Transmission electron microscopy, FTIR-spectroscopy, Raman spectroscopy and Antimicrobial activity.

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Cipher text-policy attribute-based encryption (CP-ABE) has been a favored encryption innovation to take care of the difficult issue of secure information partaking in distributed computing. The mutual information documents for the most part have the trait of staggered progressive system, especially in the zone of social insurance and the military. Be that as it may, the chain of importance structure of shared records has not been investigated in this paper, a productive record progressive system property based encryption plot is proposed in distributed computing. The layered access structures are incorporated into a solitary access structure, and afterward, the progressive records are encoded with the coordinated access structure. The cipher text parts identified with qualities could be shared by the documents. Along these lines, both cipher text stockpiling and time cost of encryption is spared. Besides, the proposed plot is end up being secure under the standard presumption. Test reproduction shows that the proposed conspire are profoundly effective regarding encryption and decoding. With the quantity of the records expanding, the benefits of our plan become increasingly prominent.

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Cipher text-policy attribute-based encryption

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As commercialism business is one of the fastest-growing industries these days, today, therefore among the commercialism business trade events case are getting further and extra necessary. People became further fascinated by the outcome of the event of each kind and may travel isolated to participate in events consequence that they notice breakthrough fascinating. It�s become widely accepted that every community and destination should adopt a long, strategic approach to event commercialism thereby coming up with and development therefore on comprehends the entire commercialism potential of events. But The travel &Tourism; commercialism business significantly is on its knees worldwide. Country borders area borders are sealed. Cities are at stand-still. Stall-still. Flights are grounded. Cruise ships are docked in harbors. No one is tuned in to once the fury of the computer virus will abate; no immunogenic is in sight; people vision; grouping are cloistered in their homes. Social distancing is the new mantra. Masks and gloves are the new safety accouterments. And no-one is even thinking of a vacation and coming up with for one. In relation intercourse to COVID-19, the study suggests that the stage thereto commercialism will regenerate and depends on factors just like the possession structure and resource base of commercialism organizations, city system, metropolis involvement in relation sexual practice to events, and thus the potential capability and events infrastructure of destinations goal.

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Keywords: Strategy, commercialism Organizations, Scheme, commercialism System, Event commercialism Strategy, Scheme, COVID-19

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Due to COVID-19 outbreak from late 2019 and Thailand being one of the countries affected early on by the virus, Thailand has been praised by other countries for its COVID-19 handling which results in low numbers of infection and deaths. The result has been achieved through government measures (security authority, Ministry of Public Health and other relevant authorities) and public cooperation strictly following the authorities� advices particularly regarding mask wearing. Masks can prevent the spread of COVID-19 up to 80%, and Thailand has the highest mask wearing rate in Asia and in the world. Thailand makes masks compulsory until medicines or vaccines are discovered. Hence, the market value of cloth masks in Thailand is approximately 50,000 million baht and may increase to 2 � 10 times more if marketers can deliver customer value - this is the importance of this research in addition to health benefits. The purpose of this research is to study (1) Covid-10 outbreak situation in Thailand, (2) preventative measures employed by the public considering advices issued by Ministry of Public Health and other relevant authorities, (3) consumer behaviors regarding cloth mask purchasing decisions, and (4) customers� opinions on priorities of marketing mix. Primary data and secondary data are collected for this research. Primary data is collected by survey method by asking sample group to complete 400 questionnaires and the information thereof is analysed by descriptive method. The research finds that (1) Thailand ranked below 50th considering the numbers of the infected, deaths and recoveries, (2) emergency decree was issued for (i) a curfew between 22.00 � 4.00, gathering ban and false information ban, (ii) a lockdown including restricted use and access to buildings, (iii) state quarantine with cooperation from government departments and Ministry of Public Health, (iv) village health volunteers and delegation of power to each province�s governor to impose other measures including alcohol sales ban, and (v) daily announcement from Center for COVID-19 Situation Administration (CCSA), (3) preventative measures practiced by the public are staying home to stop the spread for the nation, eating cooked food, using personal cutlery, social distancing, washing hands frequently and everyone wearing a mask at all times, (4) consumer behavior regarding cloth mask purchasing were (i) (what) buying both medical masks and cloth masks, (ii) (when) buying cloth masks when medical masks weren�t available, (iii) (where) purchase were made online and open air market, (iv) (why) purchase were made to prevent COVID-19, (v) (who) purchase was made by oneself, (vi) (whom) purchases were also made for the household, (vii) (how) each purchase were for 2 masks, (viii) (how much) each purchase costed more than 100 baht, (ix) (how often) purchase decision making took less than 1 day, and (x) (how long) purchase was made every 2-3 days, and (5) customers� opinions towards marketing mix are low particularly where core, style and size of the product are concerned, and a similar trend is reflected in answers from open-end questions showing that masks allowing makeup application to be seen, masks infused with skincare and masks which can eliminate bad odor are desirable, while price, place and promotion are adjusted to align with product.

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Purchasing Behavior, Consumer Behavior, Marketing Mix, Cloth Mask, Purchasing Decision

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Introduction: COVID-19 is a pandemic disease. Many of countries are being affected by this. It is like an unexpected situation for everyone. Everybody is not able to get adjusted with a sudden outbreak of COVID-19. Everyone has their own method of coping with the certain situation and according to that they have used different types of coping strategies to cope up with this crucial situation. The aim of the study was to assess the coping strategies used by the general public in COVID-19 outbreak. Methods: A cross-sectional, web based survey was conducted among the general public of India, including 110 participants with voluntary participation in May. A survey instrument was used for assessing the coping strategies among general public. Results: Descriptive statistics was used for analysis. Majority of the participants were students with 18-30 years of age and unmarried. Majority of the participants (65.5%) showed adequate coping strategies while 34.5% showed neutral coping strategies. Conclusion: During the time of this global pandemic and lockdown, there are high chances of the population to get mentally frustrated and get affect with psychological problems. Thus good coping strategies are required to face the situations.

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Novel coronavirus, Coping Strategies, Outbreak, Pandemic, Anxiety and Stress

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Background: Miz?j-e-Mu�tadil Shakhsi bi�l-qiy?s ila�l-kh?rij (Equable temperament of an individual as a whole) is the best temperament for the normal functioning of the body. Ancient physicians described the parameters for the determination of temperament in various manuscripts. There are some philosophical view regarding Determinants of Temperament that need scientific interpretation and validation. Visual memory, one of the types of external as well internal perceptive powers. Through assessment of visual memory, we can assess Mizaj of individual. Aims and Objectives: To developed scientific methods for assessing of Temperament through Visual memory assessment. Material Methods: Visual memory tests are based on Benton Visual Retention Test (BVRT). BVRT is an assessment of visual perception & visual memory abilities. For making video, researcher selected different images and merges them according to time of display. There are two video, times period of first video clip is 30 seconds and time of other video is 1 minute 30 seconds. Conclusions: Through Developing a new authentic tests for assessing visual as well as internal perception of individuals with developing a new technique for quantification of range of perception we have been developed a scientific and authentic parameter for assessing temperament of different individuals.

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Unani Medicine, Miz?j-e-Mu�tadil Shakhsi bi�l-qiy?s ila�l-kh?rij, Visual Memory, Photographic Memory.

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Multiple regression, evaluation, achievement, curriculum.

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Abstract: This study discusses the construction of daylight envelope analysing the available daylight access in residential buildings of Guwahati city and reviews most common daylight planning tools to develop a method to determine building height to street width ratios with the actual illumination level inside urban residential buildings. Four daylight planning tools for site planning and urban design decisions are studied and analysed their character. FAR allowed by generated building envelop will be calculated for each tool and compared. All the tools specified a building height to street width (H/W) ratio, but none suggested a basis for its proportion. This study initiates to determine H/W ratio with the average and minimum daylight factor within a building. Result of this study, plotting H/W ratio against average daylight factor can be used as a preliminary urban design tool to determine the Zoning restrictions especially in the residential zone of GMDA area while protecting daylight access to the adjacent building.

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Daylight envelope, Sky view angle, Solar envelope, H/W ratio

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Usage of advanced technology in our daily routine has been increased. NLP has been more needful to humans. Automatic speech recognition, translating of spoken words into text, is still a challenging task due to the high viability in speech signals. So here we are discussing the Deep Learning usage in the future with TTS. NLP, and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies. NLP has various tools that are used in speech recognition process such as speech tagging, sentiment analysis, semantics and general understanding of the speech. NLP enables the classification and location of entities into various categories, while processing the language, using the named-entity technology Even IT industries have transformed the way they perform speech recognition process with the use of natural language processing. NLP has allowed the industries to process more accurate and automated understanding of speech and text. Natural Language Processing plays a critical role in supporting machine-human interactions. We propose to use Generative Adversarial Network (GAN) along with the idea of �Professor Forcing� in training. A discriminator in GAN is jointly trained to equalize the difference between real and the predicted data. The idea with GAN is to have a Generator and Discriminator that are adversaries in a learning game. The concept applies to any type of problem for which a generator and a discriminator can be constructed. In NLP there are many types of Generators that could be considered, depending on the problem to be solved. As more research is being carried in this field, we expect to see more breakthroughs that will make machines smarter at recognizing and understanding the human language. [1] [2]

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NLP, TTS, GAN, Deep Learning

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