Volume 10 | Issue 6

 Abstract

This project presents about the method of optimizing energy from the renewable energy resources (RES) like solar and wind energy and it is used for the home appliances and EV (Electric vehicle) load. The energy produced from RES. The voltage produced from RES is boosted by an dc-dc boost converter and inverted to a maximum point using an dc-ac Inverter. There are two types of batteries are used in the system one is used to store energy produced from RES, and another one is used for battery energy management system (BEMS), which stores the excess energy produced, from the RES given to the loads (home appliances) and also given for the EV load. Arduino microcontroller plays a major role of controlling the system. LCD display is used to display the voltage produced from solar and wind separately and percentage of battery voltage, and energy distributed to the EV load. IOT (internet of things) is deployed to show the outputs shown in the LCD display can be showed from anywhere using our mobile phones.

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 Keywords

Renewable energy resource, Energy optimization, energy management.

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This study was conducted on 729 teachers working in Government Primary schools in District Bilaspur, Himachal Pradesh. The aim of study was to assess the effect of ego strength and self actualization on burn out. The standardized questionnaires were used to assess the ego strength, self actualization and burn out of the Teachers. The findings reveals that the mean/average scores of ego strength, self actualization and burn out of teachers were 19.72, 156.12 and 54.93(Emotional exhaustion = 26.61, Depersonalization=13.28 and Personal accomplishment=21.04) and there was no significant difference between male and female teachers as well as teachers belonging to rural and urban background on ego strength, self actualization and burn out(Emotional exhaustion, Depersonalization and Personal accomplishment). Results also reveals that there was a negative and significant relationship between ego strength and burn out (-.336**) as well as its components (-.354** with emotional exhaustion, -.199** with depersonalization and -.299** with personal accomplishment) and results also further reveals that there was a negative and significant relationship between self actualization and burn out (-.145*) as well as its components (-.135* with emotional exhaustion, -.111* with depersonalization and -.128* with personal accomplishment). The results of multiple regression analyses reveals that ego strength and self actualization were considered for the prediction of 13.6% emotional exhaustion, 4.9% depersonalization and 10% personal accomplishment and 12.6% overall burn out.

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 Keywords

Ego Strength, Self Actualization, Burnout, Emotional exhaustion, Depersonalization and Personal accomplishment

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 Abstract

This project mainly focused on foreign currency exchange rate prediction and we have used 2 neural networks which are used in times series prediction such as Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). Combining these two neural networks, we also used the Facebook Prophet time series algorithm. So all these algorithms make the hybrid model such that it will be more convenient to forecast the prediction of the currency rates than in previous models.

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 Keywords

LSTM, GRU, Prophet, Datasets, Forex trading

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The rapid increment in internet usage has also resulted in bulk generation of text data . Therefore, investigation of new techniques for automatic classification of textual content is needed as manually managing unstructured text is challenging. The main objective of text classification is to train a model such that it should place an unseen text into correct category. In this study, text classification was performed using the Doc2vec word embedding method on the Turkish Text Classification 3600 (TTC-3600) dataset consisting of Turkish news texts and the BBC-News dataset consisting of English news texts. As the classification method, deep learning- based CNN and traditional machine learning classification methods Gauss Naive Bayes (GNB), Random Forest (RF), Naive Bayes (NB) and Support Vector Machine (SVM) are used. In the proposed model, the highest result was obtained as 94.17% in the Turkish dataset and 96.41% in the English dataset in the classification made with CNN.

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Turkish Text Classification, Support Vector Machine, Naive Bayes, Random Forest, Gauss Naive Bayes.

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The present work involves waste plastic-recycling-regeneration-and-utilization. In this process the waste plastic is recycled and converted as fuel. The waste plastic has to be recycled because it is non-disposable and has a series impact on environmental hazard. To overcome this effect, the work has to be focused to reduce the major issue of waste plastics by converting them into usable products such as fuel. As a feasible solution for plastic recycling, the pyrolysis is one of the process of transforming waste plastic into fuels. The synthesis of fuel using pyrolysis involves in degradation of the polymeric materials by heating them in the absence of oxygen and in the presence of a catalyst. In this process, different oil samples are produced using different catalyst under different reaction conditions from waste plastics. The synthesized oil samples are subjected to a parametric study based on the oil yield, selectivity of the oil, fuel properties, and reaction temperature. The performance analysis is based on chemical compositions of waste plastics and generated oil samples. These results obtained are to decrease the plastic waste and high calorific value of fuel which is obtained from the waste plastics by high heat combustion process. The fuel synthesis procedure based on selection of raw material, pre-treatment, pyrolysis-process, analysis, testing, filtration and purification.

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Plastic waste, Pyrolysis, Fuel synthesis, Hydrocarbons

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Creative Commons Attribution 4.0 and The Open Definition

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While the cost of living continues to rise, there is a rising emphasis on using technology to reduce those costs. With this in mind, this project enables users to construct and manage a home that is smart enough to conserve energy. In this project, we plan to build firmware for smart control that can be successfully automated while minimising human contact in order to maintain the integrity of entire electrical devices in the home. Wireless technology is used in the main control system to provide remote access via cell phones. Controlling all electrical appliances, checking the room quality inside the home, and analysing the power usage in units for various devices are just a few of the functions offered by our project. For persons who have a habit of forgetting things, controlling electrical appliances such as a washing machine is a good idea. The state of the system can be tracked based on user requests. With a low-cost design, a user-friendly interface, and ease of installation, the system is meant to control electrical appliances and devices in a home. The status of the appliance, as well as control via a web application, would be available. This approach is intended to aid and support the elderly and disabled in meeting their requirements at home. Furthermore, the smart home concept raises the standard of living reception.

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 Keywords

Google Voice Assistant, GSM, IoT, Power consumption analyzer, Smart Automation, Wi-Fi.

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 Abstract

The growth and development of economy of any country depends on the status of development in banking sector. The Government of India has classified the economy into priority and non priority sector keeping in mind the development of nation. The banks have been rendering credit services to all sectors by lending credit from the amount of deposit mobilized after meeting the statutory requirements. The amount of spread to the bankers depends on their efficiency in mobilizing deposits and deploying credits. The mobilizing deposits as well as deploying credits involved risk and uncertainty, needs strategic management principles and philosophies to improve their financial health. The present study is based on the secondary data collected from Annual Reports of Lead Bank of Belagavi District. The data thus collected has analyzed by using statistical tools like mean, compound growth rate and ANOVA to examine the comparative efficiency of banks in management of credit. The study revealed that the sample branches of SBI in the district have been ahead in deployment of credit to non priority sector as compared to the sample branches of KVGB and BDCCB during study period.

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Agricultural Credit, Credit Management, Non-Priority Sector, Priority Sector, and Credit Portfolio.

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Obstacle avoidance is one of the most important aspects of mobile robotics. Without it, robot movement would be restrictive and fragile. Third project propose robotic vehicle that has an intelligence built in it such that it directs itself whenever an obstacle comes in its path. So, to protect the robot from any physical damages. This can be designed to build an obstacle avoidance robot vehicle using ultrasonic sensor for its movement .A microcontroller (ATmega 328p) is used to achieve the desired operation. An ultrasonic sensor is used to detect any obstacle ahead of it and sends a command to the microcontroller. Depending on the input signal received ,the microcontroller redirects robot to move in an alternate direction by actuating the motors which are interfaced to it through a motor driver.

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Arduino microcontroller ,Ultrasonic Sensor, arduino software

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords:- Pharmaceutical powders, powders, granules, classifications, types and used.

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Gum Acacia is the dried gummy exudation obtained from the stem and branches of acacia arabica belongs to leguminosae family found throughout India. The gum of this tree has been used in some parts of the country for its salutary therapeutic benefits. Vendor validation is an initial important step of evaluation of raw materials; Selecting best vendor for institute or industry is beneficiary for outcome of good finished product. The parameters applied for the present study include ash value, loss on drying, melting point, identification and confirmatory test, functional group detection test, test of purity etc. The result of present study showed that which sample is better for further application in industry using qualitative and quantitative analysis.

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Gum Acacia, Ash value, Moisture content

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The Earthworm Eisenia fetida was cultured using garden leaf litter (Control), Aquatic weed waterhyacinth (Eichornia sps, (E1) and Waterhyacinth+Probiotic enriched E.fetida (E2) for 60 days. Tissue protein was calculated by Lowry et al., (1951) method. The results of the study confirmed that worms grown on Eichornia sps, with probiotic enriched earthworm showed 88.60% increased length, 128.00% increased weight and 84.90% higher tissue protein than the control group of earth worm. Earthworm is viewed as a potential ingredient and a good source of protein in animal feed formulation. Vermiculture of probiotic enriched earthworm using aquatic weeds is a cheap strategy to get good source of protein, bio-fertilizer and a most promising way to clean the aquatic habitat.

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Aquatic weeds, Earthworm, Probiotics, Growth, Tissue protein.

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Educational process of development occurs in a physical, social, cultural and psychological environment in the school as well as the home environment and centered on academic achievement of students. However, it is not admissible that when the students are involved in anti social behaviour it causes physical and/or psychological disturbances in their development process. Aggressiveness in schools is a universal problem. Bullying and victimization represent different types of involvement in violent situations during childhood and adolescence. Objectives: The present study aimed to compare dimensions of bullying behaviour (physical, verbal, relational and cyber) and academic achievement between government-aided and private secondary school students of Varanasi district. Sampling: 400 samples (200 government-aided and 200 private) were selected randomly studying in class 9th to 12th of Secondary Schools of Varanasi city. Tool used: Self made tool named Bullying Behaviour Assessment Questionnaire (BBAQ) was used for data collection. Statistics analysis: F-value has been calculated for the analysis of the data and Post-hoc test was used to know the specific difference between levels of bullying behaviour and academic achievement. Result and Conclusion: It was found that there exists a significant difference between levels of physical, verbal, relational and cyber bullying behaviour and academic achievement among private secondary school students. There exists no significant difference between levels of physical, verbal, relational and cyber bullying behaviour and academic achievement among government-aided secondary school students of Varanasi district.

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Academic achievement, bullying behaviour, dimensions of bullying behaviour, secondary school students

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Creative Commons Attribution 4.0 and The Open Definition

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Investing in stocks helps to build savings. But we cannot directly make investments in stock market without having any knowledge about it. So, this research is done to address this problem. The purpose of this research is to make new investors understand about concepts of fundamental and technical analyses. This research involves the use of secondary data. For making analysis, Real time data from selected companies are used and some of the tools like EPS, Price-to-earnings (P/E) ratio, Return on equity, Price-to-book (P/B) ratio, Dividend payout ratio and Dividend yield ratio are used to evaluate stocks of selected companies. It focuses on calculation of intrinsic value and based on value in RSI Chart. If Intrinsic value is greater than market value then shares is said to be undervalued and whereas if it is lesser, then it is said to be overvalued. RSI indicator is used to find the stocks of the companies whether they are overbought or oversold. An asset is usually considered overbought when the RSI is above 70% and oversold when it is below 30%. From the study HDFC and TCS shares are undervalued/oversold and suggested to buy and hold the shares.

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Stock Market, Analysis, Investors.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Liquefied Petroleum Gas (LPG) is a main source of fuel, especially in urban areas because it is clean compared to firewood and charcoal. Gas leakage is a major problem in the industrial sector, residential premises, etc. Nowadays, home security has become a major issue because of increasing gas leakage. Gas leakage is a source of great anxiety with ateliers, residential areas and vehicles like Compressed Natural Gas (CNG), buses, and cars which are run on gas power. One of the preventive methods to stop accidents associated with the gas leakage is to install a gas leakage detection kit at vulnerable places. The aim of this paper is to propose and discuss a design of a gas leakage detection system that can automatically detect, alert and control gas leakage. This proposed system also includes an alerting system for the users. The system is based on a sensor that easily detects a gas leakage.

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Index Terms - Arduino Uno, LPG gas sensor MQ- 2, LCD, Exhaust fan, Micro-controller, Relay Board, Servo motor, LED light, SMPS.

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Creative Commons Attribution 4.0 and The Open Definition

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property uses, environmental protection, modern law

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Creative Commons Attribution 4.0 and The Open Definition

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The Internet innovation has changed market exchange web-based business. There is unprecedented disruption to the traditional business and supply chain. This necessitates the redesign and digitalization of supply chain. The Internet of Things can do ongoing checking and online business This paper examines the conventional supply chain network and the advancement of a production network. The e-commerce environment was seen as profoundly unsure, coming from expanded data visibility and dynamic market structures. The increased information helps in strategic planning and decision making. It also increases vulnerability. This study focusses how additional data generated from digitalization and industry 4.0 application will help various stakeholders in the supply chain and their impact on supply chain efficiency, transparency, speed of decision making and coordination.

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Digital Supply Chain, Digitization, Industry 4.0, Coordination, Collaboration.

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Cross-browser compatibility testing, image processing, compatibility issue.

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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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Gesture Recognition, Artificial Neural Network, Feature Extraction, MATLAB

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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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Modernity, Alienation, Relationship, Urbanization, Traditions.

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Creative Commons Attribution 4.0 and The Open Definition