Volume 11 | Issue 4

 Abstract

Low back pain is a painful condition affecting the lower portion of spine and causes function disability in housemaid. The aim of this study is to understand the percentage of functional disability caused due to work related back pain in housemaid. The Hindi version of Quebec back pain disability scale is used to determine the level of functional disability due work related back pain in total of 100 housemaids for the research. The data was collected and statistical analysis was done. The results have concluded that there is functional disability due to work related back pain in housemaids due to the factors like wrong posture of working, pushing and pulling heavy load, repetitive bending forward and working, excessive twisting and trunk movements, lack of rest, lack of physical activity and low level of nutrition uptake.

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 Keywords

Functional disability, Low back pain, Housemaids, Quebec back pain disability scale.

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 Abstract

The current attendance mechanism is thought of as manual. Both teachers and students must put in a significant amount of time. Even with manual attendance, there is still a chance that there will be proxies in the class. The work's key contribution is the creation of an attendance control system that employs student faces as feed input. We have decided to use the Raspberry Pi and a webcam to make it accessible on all platforms. Connected to the Raspberry Pi module is a webcam. The web cam is used to capture student face photographs. The Qt creator IDE implements many face extraction methods utilizing the OpenCV platform. Face recognition technology is used to take attendance in this project, allowing us to identify each student's face

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 Keywords

Attendance management system, Face Recognition, Raspberry Pi.

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 Abstract

The level of pollution is increasing rapidly due to factors like industries, urbanization, increasing in population, vehicle use which can affect human health. IOT Based Air Pollution Monitoring System is used to monitor the Air Quality over a web server using Internet. It will trigger an alarm when the air quality goes down beyond a certain level, means when there are sufficient amount of harmful gases present in the air like CO2, smoke, alcohol, benzene, NH3 and NOx. It will show the air quality in PPM on the LCD and as well as on webpage so that air pollution can be monitored very easily. The system uses MQ135 and MQ6 sensor for monitoring Air Quality as it detects most harmful gases and can measure their amount accurately. The implementation of wireless sensor networks (WSNs) for monitoring the complex, dynamic, and harsh environment of underground coal mines (UCMs) is sought around the world to enhance safety. However, previously developed smart systems are limited to monitoring or, in a few cases, can report events. Therefore, this study introduces a reliable, efficient, and cost-effective internet of things (IoT) system for air quality monitoring with newly added features of assessment and pollutant prediction. Based on the sensed data, the proposed system assesses mine air quality in terms of the mine environment index (MEI). Principal component analysis (PCA) identified CH4, CO, SO2, and H2S as the most influencing gases significantly affecting mine air quality. According to the Mine Safety and Health Administration (MSHA), faulty equipment, negligence of labor towards explosions, structure failure, and gas accumulation are the most common causes of underground mine accidents. During the economic year of 2014, in the salt range coal mine in Punjab, Pakistan, more than 35% of accidents occurred due to the accumulation of toxic gases. Therefore, for the safety of workers and the mine itself, it is extremely important to monitor the mine environment continuously and accurately.

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 Keywords

Arduino, Underground coal mines, Internet of things, Mine environment index, Principal component analysis.

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 Abstract

Real estate is a significant investment, and it is essential to know the value of a property before investing hard-earned money. Machine learning techniques have been increasingly used to predict real estate prices in megacities like Mumbai, Chennai, Bangalore, and Pune. This paper focuses on the XGBoost regression algorithm, a powerful technique that can be used to predict housing prices with high accuracy. The XGBoost algorithm is an ensemble method that combines multiple decision trees to create a more robust and accurate model. It is particularly useful in handling non-linear relationships between input variables and real estate prices. The algorithm can efficiently process large datasets with multiple variables, making it an excellent tool for real estate prediction. This study highlights the importance of the XGBoost algorithm in predicting real estate prices accurately. It examines various input variables, including carpet area, number of bedrooms and baths, balcony, amenities, and area type, to build a reliable model. The XGBoost algorithm is evaluated based on various performance metrics, such as mean absolute error, mean squared error, and R-squared, to assess its accuracy and effectiveness. The results show that the XGBoost algorithm outperforms other machine learning techniques such as linear regression, decision trees, random forest, and neural networks, in predicting real estate prices. It can efficiently handle complex non-linear relationships and accurately predict the prices of properties in megacities like Mumbai, Chennai, Bangalore, and Pune. In conclusion, this study demonstrates the effectiveness of the XGBoost algorithm in predicting real estate prices. The algorithm can help investors make informed decisions by providing accurate predictions based on various input variables. The study emphasizes the importance of using advanced machine learning techniques like XGBoost for real estate investments, especially in megacities where property prices are highly volatile.

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 Keywords

: Real estate, investment, machine learning techniques, predicting, housing prices, XGBoost regression algorithm, ensemble method, decision trees, non-linear relationships, input variables, accuracy, performance metrics, mean absolute error, mean squared error, R-squared.

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This model involves designing and building of a simple 3 axis Computer Controlled drawing machine. Drawings are a key part of the manufacturing process. Having a programmable machine that can complete the task would make the job that much easier. Though such drawing machine may not be especially practical in a general design and development process of parts for instance, it can be a stepping stone in that direction. This project does provide a great tool for learning the basic functions of a robot. The two in technical terms and by definition are quite synonymous. A drawing machine is not much more than a CNC machine. More specifically a CNC router with an attached writing utensil, rather than a cutting tool. This particular application is an open-source project by BCN3D Technologies, which anyone can replicate for themselves. The parts can be 3D printed using FDM printers. Robot arms area essential thing to learn for any engineering student's looking get into the manufacturing industry. Today robots are employed in virtually all manufacturing and assembly processes. They do the job which are hazardous, strenuous, or too difficult for humans. This paper will present an affordable model of a CNC plotter machine which is able to draw a circuit layout on PCB or any other solid surface using simple algorithm and available components. At first the user needs to convert any image file or text file into G code using Inkscape software and then feed it to the machine using Processing software. Arduino uno with an ATmega328P microcontroller is used as the control device for this project. The microcontroller converts G-code into a set of machine language instruction to be sent to the motor driver of the CNC plotter. Keywords - Arduino, CNC, stepper motors, Inkscape software, G- code file.

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Arduino, CNC, stepper motors, servo motor, Inkscape software, G-code file are some of the keywords.

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 Abstract

Cryptocurrency price prediction using Long Short-Term Memory (LSTM) is a popular method for forecasting future prices of the cryptocurrency It is supervised and organised by a blockchain, a peer-to-peer network that also acts as a secure record of transactions.. LSTM is a type of recurrent neural network (RNN) that is capable of learning long-term dependencies, making it well-suited for time series data like financial markets. In this approach, historical price data is used to train the LSTM model, which can then be used to make predictions about future price movements.To implement this, the first step is to preprocess the data, which involves scaling and transforming the data into a format that can be fed into the LSTM model. Then, using a sliding window technique, the LSTM model is supervised on the preprocessed data to predict the following value in the time series on the basis of a certain number of earlier values. After training, the model can be used to make predictions about future price movements. These predictions can be evaluated using various performance metrics such as mean squared error or root mean squared error to assess the accuracy of the model. Overall, the use of LSTM for Bitcoin price prediction has shown promising results, with some studies reporting high levels of accuracy in predicting future price movements. However, it is important to note that cryptocurrency markets are highly volatile and unpredictable, and there are many factors beyond historical price data that can affect the price of Bitcoin

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 Keywords

Cryptocurrency, Bitcoin, Technology, Block, Network, Blockchain, price of bitcoin, Digital, Transaction, Model. I

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 Abstract

Mental imagery is widely accepted by sport psychologists, coaches, and athletes to be a useful psychological technique in the training of athletes for excellence athletes use mental imagery extensively in their training and in conjunction with competition. The aim of this study is to examine imagery ability of athletes from individual and team game sports and to determine if the groups differ in relation to these imagery attributes. The subject taken for the study were men and women individual and team game players from the representative of the Mangalore university. Data collected from total of 160 subjects of athletes. In that 80 subjects from women individual and team game players and 80 subjects from men individual and team game players. The results showed that a comparative imagery ability for individual men and women, the SIQ subscales like CS, CG, MS, MGA, and MGM. In the first four subscales are represented the women percentage is more than men and (MGA) men percentage is more than women percentage. A comparative of imagery ability for team game men and women in that five SIQ subscales are represented in that women percentage is more than men. This study examined the effects of level of participation and time involvement in sports on mental imagery characteristics and will provide may help coaches and athletes to identify the mental preparation needs of specific sports and to present additional information about individual differences in sports imagery.

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 Keywords

imagery ability, athletes, team sport, individual sport.

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 Abstract

A self -reporting oral health impact profile was developed to examine and elicit the children's responses towards various parameters which includes physical pain, physical disability etc. The children to be tested will be in the age range of 6 to 11 years where they can understand and interpret question for proper elicitation. The responses will be recorded by using modified Likert scale (gender specific for boys & girls/ separate questions will be given for both the gender) our newer scale can be an excellent tool for multidimensional assessment of child and his limitations.

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OHIP/OHIP-14, OHIP-35, Oral Health, Functional Limitation, Psychological Discomfort

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The human society is undergoing rapid changes in the knowledge landscape. Keeping in view the role of education as an instrument for change, the National Education Policy -2020 (NEP- 2020) has been approved by Government of India with a vision to rejuvenate Indian Education system in tune with this era of rapid changes and technological advancements in society. The Present paper attempts to discuss the recommendations of NEP-2020 regarding use and integration of technology in Higher education to equip the teaching-learning paradigm for the needs of emerging Knowledge Society and knowledge-based global economy. Enunciating the digital initiatives of the Government for promoting Technology Enabled Learning (TEL) in Higher Education Institutions (HEIs), the paper aims to evaluate NEP-2020 as a step towards coordinating relevance and excellence in Indian Higher Education. Analyzing the role of National Educational Technology Forum (NETF) in shaping the future of technology enabled higher education in the country, the paper also discusses initiatives suggested in NEP-2020 to address the challenges in promotion of TEL in Indian context.

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National Education Policy (NEP-2020), Technology Enabled Learning (TEL), Knowledge-Driven Society, National Educational Technology Forum (NETF) __________

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Our aim is to develop a shortest path finder robot using Arduino Uno, a popular open-source electronic controller that is widely used in the field of robotics and automation. This involves designing and implementing a software algorithm that can calculate the shortest path between two points on a given graph, and then transmitting this information to the Arduino board, which controls the robot's movements. The algorithm used in this project is based on Dijkestra's algorithm, which is a well-known algorithm for graph search that can be used to find the shortest path between two nodes in a graph. The algorithm is implemented using C++ programming language, Arduino library and the Arduino IDE. The hardware used in this project includes an Arduino board, motor driver, IR sensors, DC motors and chassis . The system works by first detecting the starting and ending points on the graph using the sensors. Once the starting and ending points are detected, the algorithm calculates the shortest path between these two points and then transmits the instructions to the Arduino board, which controls the robot's movements. The robot then follows the instructions to navigate along the shortest path, avoiding obstacles along the way. The project is aimed at developing a low-cost and efficient solution for autonomous navigation of robots in various applications such as warehouse management, automated guided vehicles, hospital emergency direction detector and home automation. The system can be further improved by adding more sensors and using more advanced algorithms to optimize the path planning process.

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 Keywords

Arduino Controller, IR Sensors, Robot, DC Motor

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 Abstract

Automated Teller Machine (ATM) services are increasingly popular due to their flexibility and easiness for banking systems. To provide high security, fingerprint and face recognition based customer authentication was introduced. This project aims to develop a single smart card ATM (Automated Teller Machine) for multiple bank accounts, reducing the cost of inter banking transactions. The user module is the interactive module through which the user can log into the system and perform transactions of their choice. The proposed system provides the user with a level of higher convenience, efficient and user friendly.

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 Keywords

IOT, Biometric authentication, face recognition, OTP,ATM.

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 Abstract

Urinary tract infection (UTI) is one of the most common health problems among pregnant women and the reason for morbidity during pregnancy in worldwide. Occurrence of Gram-negative bacteria is more frequent and next to E.coli, Klebsiella spp. is a recurrently isolated organism causing UTI. Klebsiella pneumonia, Gram-negative, encapsulated, and nonmobile bacteria are bacteria that normally live in intestines and feces. They also have a high tendency to become antibiotic resistant. A total 183 samples having UTI obtained out of 300 samples from pregnant women, investigated for identification and characterization of the uropathogenic isolates. Klebsiella pneumoniae was obtained as the 2nd most bacterial pathogen having 12.5 % of occurrence. The identified pathogens were then screened for pathogenic factors namely haemolysin production, Mannose Resistant and Mannose sensitive Haemagglutination (MRHA, MSHA), Cell surface hydrophobicity and Serum resistance, biofilm formation, production of siderophores by recommended methods. Piperacillin/Tazobactam(P/T) and Norfloxacin (Nx) were found to be the most effective drug against Klebsiella spp. and biofilm production (65.2%) was observed as the most frequent pathogenic factor in Klebsiella spp.

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Urinary tract infection, Klebsiella spp.,Pathogenesis, Pathogenic factors.

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This research has focused primarily on creating an IOT-based Prepaid Smart Metering System that would be ideal to alleviate some of the issues now existing in the conventional digital automated metering system in Eurasia. With its special ability to work with the Internet of Things (IoT), smart metres are a reliable system for tracking and real-time remote monitoring as well as an efficient system for running electricity. Thus, this design task is completed by evaluating the current functions and journals on the design of Smart Metering and making suggestions for a more advantageous future operation. The current system requires human workers to travel from home to home and block to block to read the electrical cadence for use in operation and invoicing.The goal of this idea is to use GSM to create a Smart Electricity cadence. This helps to recover the real-time cadence value over GSM and send it to visitors' cell phones, which can decrease fatal crimes. Additionally, this allows the power board to change the variable package pricing for a set period of time. The director can analyse the visitor power usage information and generate the report using online data. The prototype will be appropriate for introducing the guest billing system, gathering data on electricity usage from smart cadence, storing data in a centralised database, and producing reports

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 Keywords

Arduino Mega, Relay Module, Microcontroller ESP8266, Current Sensor, GSM Module, LCD Display,Esp8266 Wifi Module, Buzzer

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ABSTRACT Background: Badminton being an overhead sport requires scapular stability and coordinated motion at the shoulder complex. It has been proven that muscle imbalance due to the overuse leading to instability is a major factor leading to scapular dyskinesia (SD). Proximal muscle imbalance may lead to distal affection as well which may affect the hand grip strength. Hand grip strength is an indicator of the total body strength. The quality and amount of strength are specifically essential in heavy weight sports. Proximal stability before distal mobility" which simply refers to the fact that we must first have good mobility and strength along our core (mid-line structures along our spine) before we can maximize our extremity function (distal mobility). Objectives: Aims to find correlation between scapular dyskinesia and hand grip strength in elite badminton players. Methods: Study had begun with the presentation of synopsis to the ethical committee in PES MCOP. An approval was granted from the ethical committee various elite badminton courts were visited in and around the city.58 elite badminton players were selected on the basis of their inclusion and exclusion criteria . Lateral scapular slide test along with grip strength using handheld dynamometer was performed on the subjects and data analysis was done. Data entered and analysed. Results: There is significant correlation(p-value=0.195) between scapular dyskinesia and handgrip strength. Correlation Coefficient observed is -0.18 (t=-1.3117) which shows that there is correlation between scapular dyskinesia and hand grip strength. Method used is Pearson Correlation. Conclusion: The study concluded that there is significant correlation between scapular dyskinesia and hand grip strength which shows grip strength reduces with scapular dyskinesia.

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correlation, lateral scapular slide test, scapular dyskinesia, handgrip strength

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 Abstract

Pain is one of the major features that disturb the regular activities of every individual at some point of time. Tennis Elbow or Snayugata Vata affecting Koorpara sandhi (Koorpara sandhi means elbow joint) is one such condition, where the major feature is pain. Effective treatment can definitely shorten the total span of painful symptoms and the patient would be able to perform daily routine activities without the suffering of pain. A 44-year-old female came to the outpatient department of our hospital with complaint of pain in right elbow and unable to perform day to day regular activities. She was given Nirgundipatra Upanaha (A mixture of Nirgundipatra, Saindhav lavana and Til oil were used for Local application and secured with bandage) once daily along with 2 Tablets of Trayodashang Guggulu 500mg each. The tablets were given twice daily, orally for a period of 21 days. Evaluation was noted on 0, 7, 14, 21 and 28th day. After 28th day, reduction in signs and symptoms like pain, tenderness, pricking sensation and improvement in functional activity was observed. The objective as well as subjective parameters were taken into consideration. Study implications can be stated as, due to increase in the patients of Tennis Elbow, an Ayurvedic treatment which is easy to perform, long lasting effect and non-invasive in nature will help the general public to lead pain free life.

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 Keywords

Tennis Elbow, Pain-in-elbow, Snayugata Vata, Nirgundipatra, Upanaha, Trayodashang Guggulu

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Social media is a platform for public around the World to discuss their issues and opinions. Before knowing the actual aspects of social media Youngsters must have to know what does social media mean? Social media is a term used to describe the interaction between groups or individuals in which they produce, share, and sometimes exchange ideas, images, videos and many more over the internet and in virtual communities. Children are growing up surrounded by mobile devices and interactive social networking sites such as Twitter, and Instagram which has made the social media a vital aspect of their life. Social network is transforming the behavior in which youthful people relate with their parents, peers, as well as how they make use of technology. Social networking sites may also be used to network efficiently. On the negative side, the internet is laden with a number of risks associated with online communities. Cyber bullying, which means a type of harassment that is perpetrated using electronic technology, is one of the risks.

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Social media, technology, social networking

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 Abstract

How Technology Can Make Learning Fun: A Look into the Advantages and Limitations of Using ICT in Teaching

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How Technology Can Make Learning Fun: A Look into the Advantages and Limitations of Using ICT in Teaching

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The electron donating properties, of Cerium - Zirconium mixed oxides at various compositions have been reported at three activation temperatures of 300oC, 500oC & 800oC. The strength and distribution of electron donor sites are determined from the studies on the adsorption of electron acceptors (EA) of various electron affinities in acetonitrile solvent.

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Electron donocity, Electron acceptors, Electron affinity, TCNQ, Chloranil, PDNB, MDNB

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Intellectual property rights refer to the property rights which are granted to an author or creator of a new invention or intangible asset. The concept of intellectual property was developed in the 18th century, with the first federal statute on patents being passed in 1790. Intellectual property rights are the legal protection granted to individuals who have invented something new or created something original that is capable of being physically reproduced or transmitted. The scope of intellectual property rights varies from country to country, but generally any form of expression that falls within the jurisdiction of copyright law and patent law is protected as intellectual property (see section 20(1)(b) of the Copyright Act 1957). More than other business models, e-commerce frequently involves the sale of goods and services that are dependent on IP and its licensing. Through e-commerce, you may exchange things like software, designs, training materials, systems, and more, with the IP serving as the major source of value. Because valuable commodities traded online must be safeguarded by technological security measures and IP laws, or entire firms risk being ruined by theft or piracy. This paper studies the history of IPR, Its types and role of IPR in e- commerce. The protection for any creative work such as music, text, software code, graphic design etc. cannot be revoked by anyone at all as it is not owned by anyone in particular. IP rights protect intellectual property in a wide variety of ways, covering protection of inventions and designs, protection for data and software, as well as protection for literary material like books and films. IP plays a role in facilitating smoother E-Commerce transactions.

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Intellectual property rights, E- commerce, Legal protection.

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The edible mushroom belongs to the Basiomycota. Many of the mushrooms are primary decomposers of hardwood trees and also found worldwide. Ploysaccharides from mushroom have the ability to cure the the wound produced by bacteria and fungi those are resistant to the antibiotics. This article showed that the antibacterial activity of bioactive polysaccharides from the mushrooms and as well as it's antioxidant potential. The bioactive polysaccharides shows highly effective against E.Coli and Salmonella

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Mushroom,Bioactive polysaccharides, Antioxidant activity, Antibacterial activity,

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