Volume 9 | Issue 7

 Abstract

Cross domain sentiment analysis refers to divide sentiments of people into different categories. Such algorithms are used by different large scale corporations, hospitality departments, etc to understand feelings of the people towards their product or company as a whole. Previously, hand written reviews were considered. But as the companies and online purchases are increasing, this method proved to be insufficient and tedious. Also the reviews had to be checked by a person, thus decreasing the efficiency and the accuracy of this method. Our study aims at using different machine learning, deep learning algorithms to automate the process of product analysis. The results prove that the study successfully provides an algorithm to understand and divide the sentiments of people into positive, negative and neutral

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 Keywords

Sentiment Analysis, machine-learning, positive, negative, neutral.

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With the rapid increase in trading technology in smartphone, Now a days it is possible for the investors to make their buying or selling decision at the footstep. Mobile trading applications makes the investors to open De-Materialized (De-Mat) account and to perform trading activities with the help of internet connectivity at anyplace of location. Meanwhile, the investor as a rational being whose requirements in tracking the performances of market, the mobile trading system facilitates them to get updates. Based on such, the investment strategy can be applied to buy or sell the shares and securities. The present COVID pandemic situation makes the investor to shift their trading platform to trading applications through smartphones. Hence, this research intend in identifying the investors applicability and handling of mobile trading applications. For this the researcher had taken 146 investors as respondents randomly through structured questionnaire. Percentage analysis, Chi-Square, ANOVA were performed to analyze the investor applicability towards mobile trading applications. Finally, majority of the investors have an experience in using the trading applications to trade online with smartphone at this pandemic.

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Mobile trading applications, smartphone, investors requirements, investment strategy, trading technology

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 Abstract

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Social Media, Investor, Stock Market, Influence, Sentiment.s

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The non-stop augmentation of pollutants is a hassle that needs to be addressed straightaway. Pollution affects our fitness in addition to reasons fundamental environmental modifications like Global warming and climate variations. Air pollutants are one in all the largest demanding situations that the sector is going through these days because it has were given negative consequences on human fitness like lung cancer, breathing, and coronary heart diseases. There is a want to continuously measure, analyze, and screen the air first-rate on a real-time foundation to take suitable measures every time needed. We have proposed a version that makes use of the idea of the Internet of Things to permit the person to recognize approximately the awareness of dangerous gases gift around him and for this reason, permit the person to recognize the first-rate of air. The parameters which might be monitored right here are MQ135, Carbon monoxide (CO), Carbon dioxide (CO2), temperature, and humidity. The values of those parameters are in addition displayed on an IoT platform, ThingSpeak, with inside the shape of a graph in addition to a number. If the awareness of Carbon dioxide exceeds a positive threshold, the buzzer receives triggered.

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 Keywords

ESP32 Board, LCD Display, Adafruit IO, MQ135, MQ7, and DHT11 Sensors.

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: Christianity came to India in 52 AD with the mission of spreading the Word God. India that the missionaries walked into was burdened under the yoke of caste system. The lower class people had no social mobility and hence the possibility of an improvement in their condition was near impossible. Conversion to Christianity was a means of escape from discrimination. They believed Christianity offered them solace from their oppressors. Christianity was considered egalitarian as it promised to be a caste- free society. Unfortunately, even after conversion many of the Dalits were discriminated due to the residual leftover practice of caste system from their previous traditions. Bama's Karukku is a novel written in a confessional mode. It speaks of the conflict between the Church and the Dalit Christians. The Church ordered and influenced the lives of the Dalits. However, discrimination by the clergy was horrifying. Religious celebrations had lost its spiritual value and it was more materialistic. Bama decided to join the religious order to help the poor school children of her community as education was the key to their emancipation. But on joining a nunnery she realized that life in a convent was one of luxury and they served the rich. She discovered that the outlook of the convent and the Church are different from hers and there is a rift between the two. This paper attempts to unveil the crippling effect of caste system in an apparently caste-free religion like Christianity.

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Christianity, caste system, discrimination, in persona Christi, marginalization

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 Abstract

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LPG leakage ,IOT,smoke and temperature sensor

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Siddha Medicine, Maramanjal Kudineer, Dysentery, Diarrhea.

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STRATEGY TO INCREASE LIFETIME VALUE OF A CUSTOMER USING RFM

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STRATEGY TO INCREASE LIFETIME VALUE OF A CUSTOMER USING RFM

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Opium is papaveraceae family herb which is known as poppy is a flowering plant. It is neurotoxic cerebral somniferous poison, somniferous means sleep inducing, referring to sedative property. This poppy is grown as an agricultural crop for the purpose of pharmaceutical to formation of many type of analgesic medicine to treat pain and induce sleep. But many people take long period of opium for the property of aphrodisiac then they will addicted. Opium is a neurotoxic so it is produce many side effects like anxiety, seizures, hallucination, drowsiness, giddiness and many others. The opium poppy, as its name indicate, is the principal source of opium , the dried latex produced by the seed pods.

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Somniferous, neurotoxic, poppy seed, etc.

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The addition of two n bit number operations in a digital circuit is used to reduce the circuit's intricacy, and it is an operation. In this paper, we design a circuit for designing a high-speed efficient adder. The adoption of an adder with the required qualities ensures the circuit's smooth running. The adders that have been analyzed are 32-bit adders that have been generated and simulated using Xilinx synthesis tools. The results of synthesis reports and circuit simulations aid in the discovery of various attributes. Area consumed power and speed may be determined for the analyze of the device. On the basis of power and area, the ripple carry adder, carry skip adder, and kogge stone adder have been compared in this study.

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Ripple carry adder, carry skip adder, kogge stone adder, Xilinx index terms

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Reuse of Waste or effluent water is largest problem in current scenario. About 60% of RO reject water is converted into effluent or in waste water because of major use of pure water in industries and of course for domestic purpose. Here, it is idea to use waste water or effluent water for further either in domestic use or in industrial use. Major concern to use this effluent water contain is, high amount of heavy metal and Waste water effluents is limiting their regeneration and reuse after membrane treatments such as reverse osmosis (RO), Filtration. Presently it was removed by electro-coagulation or by electro dialysis but this process is used in limited because of high cost. Here, we are trying to remove heavy metals and impurities which are present in water by using chemical or by Solar distillation process or Natural agriculture waste which depend on type of water having amount of impurities present in it. With the help of additionally agriculture waste the cost of the treating water and the pollution also decrease.

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Solar distillation, agricultures waste material-Banana pills, Rise husk, Coconut husk.

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Sex ratio is often described by comparing the size of the sex category with a ratio. The study of sex ratio of population helps in ascertaining the specific requirement of the males and female. Considering the rural-urban differentials in exists in sex ratio of any area, helps in distinguishing the specific need of population in the area. The study of sex ratio of population is important for manpower planning, regional urban, economic and developmental planning. In India Over all sex ratio (OSR) has gradually increased from the last census by seven points from 933 (2001) to 940. According to the Indian census, the situation is worse for the child Sex Ratio (CSR), the sex ratio in the 0-6 age group went down from 962 (1981) to 914 (2011). 2011 census showed that in 26 States/UTs rural child sex ratio are higher than urban areas (Paul, K., & Saha, S. 2015). Ahmednagar district is situated in western part of Maharashtra shows rural- urban differentials in sex ratio. Urban sex ratio is always less in district compare with rural areas. This research focus on age specific sex ratio and it is reported that all the towns of district are having declining child sex ratio rapidly and need to be focused by planners.

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sex ratio, child sex ratio, rural- urban differentials, declining child sex ratio

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With the exponential growth in the ways and means by which people need to communicate-data communications, voice communications, video communications, broadcast messaging, command and control communications, emergency response communications, etc. - modifying radio devices easily and cost-effectively has become business critical. Software defined radio (SDR) technology brings the flexibility, cost efficiency and power to drive communications forward, with wide-reaching benefits realized by service providers and product developers through to end users. Modern communications protocols are not simply streaming bits at 100% duty cycle. Instead, they use packets/frames. At the receiver, identification of frame is necessary when a new frame begins. Preamble contains a synchronization sequence that the receiver uses to detect start of frames, and it is a sequence known by the receiver beforehand. In this paper, frame synchronization using Barker Codes (BC) for various Frame Length (FL) (taken frame lengths are 3,4 and 13) by applying different modulation techniques like Binary Phase Shift Keying(BPSK) and Quadrature Phase Shift Keying (QPSK).

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SDR, BC, FL, BPSK, QPSK

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The general purpose of the study is to classify the comments made on products in e-commerce systems by type using text mining application. As the e-commerce system, Open Cart e-commerce infrastructure was used and the installation steps were explained by installing on the "ecommerce comments store" domain. In particular, the average internet usage in both Turkey and the world for 15 years, including web-based applications has rapidly increased. The quality of the services offered online continues to increase in parallel. In this context, companies have started to use technology and software for their own interests and have taken steps to increase their service quality by interpreting data that will benefit them through methods such as data mining. With this study, the classification process of these comments/evaluations made on the products was carried out using text mining. In this way, big data can be transformed into more meaningful and smaller data and can be used as a faster method to identify users who have problems. Although it seems difficult to examine the interpretations made especially subjectively with this method it was emphasized how this situation can be facilitated by text mining applications

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e-commerce, text mining, product reviews, classification

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The Exam MCQ App aims at the modern educational system, for making it easy to conduct online exams smoothly. This application is developed for educational purposes to enhance the online mode examination process. The app provides two user platforms one for the teachers and other for students. The teacher interface includes adding new subject or category upon which students are supposed to be tested. It also has functionality of adding new sets according to the requirement. The idea of different sets avoids mass cheating among student which reduces the worth of examination process. Teacher's interface has functionality to add questions either manually by pressing add button or by attaching excel sheet consisting of questions. On the other side student's interface has got options for selecting subject and then the sets get assigned to them in a random manner. Then they are moved to question activity which consists of questions in the MCQ format. After completion of quiz, we get the results instantly. Students can also bookmark questions for future reference.

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Random manner, MCQ (Multiple-Choice Questions), Bookmark, Interface, Activity

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With the use of the internet, a lot of data is being collected in the form of images. This type of data can be used for further analysis or processing only if we are able to draw out what the image represents or depicts. Image captioning in simple words can be defined as the process of producing or generating a description in the form of text for an image. The results have many applications in real life. This paper presents an effort to leverage the benefits of the techniques of Deep Learning in producing the captions for images based on the objects present, the properties of the objects, the actions that are being performed by them and the interaction between the objects and with their surroundings using a CNN and RNN model.

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Image Captioning, CNN, LSTM

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Abstract : Malnutrition is the major problem of children in India. It can be prevent by early detention of malnourished child's Symptoms by proper assessment of child's health and proper nutrition by correct diet plan. This study aimed to assess malnutrition ration in 1-5 year of children from slum area of Petlad district of Gujarat. Quantitative research approach and Descriptive Survey research design were uses in the study. Total 380 sample of children were selected as sample of study based on simple random sampling method . Tool consistent of two parts socioeconomic variable and measurement of height, weight and MUAC by standard method. A study was conducted from 1 January 2020 to 28 February 2020. Analysis was done by using demographic data of the sample like age, gender,religion,diet type of family, number of Sibling, educational level of child. According to weight for age 159 of the children had normal weight, 4 were obese, 49 had risk of weight problem, 134 were underweight and 34 were severely underweight. As per height for age 189 of children had normal height, 28 were gigantic, 106 were stunted and 57 were severely stunted. According to weight for height 214 of children had normal weight, 6 were obese, 21 were overweight, 59 had risk of overweight, 44 were wasted and 36 of children were severely wasted. As per MUAC 141 of the children were normal, 140 of children were mild malnourished, 83 of children were moderate malnourished and 16 of children were severe malnourished.

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Keyword : Malnutrition, Assess, Prevalence, slum area.

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COVID-19 has had a significant impact on the world. Wearing a face mask is one of the precautions to lower the risk of viral transmission, according to studies. Moreover, many public areas and public service providers demand consumers to use the service and location only if they correctly wear masks. As a result, manually tracking the consumer to see if they have the mask or not is impossible. That is why technology is so important in this situation. Face mask detection via image processing is one of the high-accuracy and efficient face mask detectors proposed in this paper.

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TensorFlow, Object Detection, Face Mask Detection.

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