Volume 11 | Issue 5 |

 Abstract

The quality of ICT in schools can be improved by teachers' positive attitudes, and teachers' technological competence is a necessary prerequisite for developing this mentality. This study intends to evaluate teachers' Attitudes towards ICT teaching at senior secondary level schools located in the Saharanpur district. For the current study, a descriptive survey research design was used. 60 teachers from a few carefully chosen schools participated in the current study. The researcher created a questionnaire on attitudes towards ICT and demographic profile for respondents, which were employed as the study's administration tools. The study was conducted using a random sample of teachers from different senior secondary schools of U.P. Board. The statistical methods of mean, standard deviation, t-test, and correlation analysis were used to assess four null hypotheses at the 0.05 level of significance. The results demonstrate a significant positive link between teachers' attitudes towards ICT.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ICT, Attitude towards ICT, Senior secondary schools

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this modern era, we have seen increased number of heart diseases and increased risk of heart attacks. Heart attacks pose a serious health risk and can be life-threatening. They occur when a blockage in the coronary arteries disrupts blood flow to the heart, which can cause permanent damage. Hence it is very much imperative to detect the Heart Attack on time and provide necessary lifesaving medical care to the patients. In our proposed project, the system provides sensors that allow detecting heart rate of a person using heartbeat sensing even if the person is at a remote place (i.e. home, office, travel etc.). The sensors are then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet. The user is enabled to set the various levels i.e. HIGH, LOW levels of heart beat limit. Once these limits are setup / configured, the system starts monitoring and as soon as patient heart beat goes above a certain limit (i.e. crossing the Thresholds), the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeat rates. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus, concerned stake holders can monitor heart rates and receive alerts of heart attack to the patient immediately from anywhere and the person's life can be saved on time.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heartbeat, Heart rate, Internet of Things, Sensors, Microcontroller.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Renewable energy systems such as photovoltaic (PV) and wind energy systems are widely designed grid connected or autonomous. This is a problem especially in small powerful system due to the restriction on the inverter markets. Inverters which are utilized in these kinds of energy systems operate on grid or off grid. In this study, a novel power management strategy has been developed by designing a wind-PV hybrid system to operate. The inverter used in this study has been designed to operate both as an autonomous system and as a grid-connected system on-grid and off-grid. Due to the continuous demand for energy, gel batteries are used in the hybrid system. The designed Power Management Unit performs measurement from various points in the system and in accordance with this measurement; it provides an effective energy transfer to batteries, loads and grid.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MPPT, Hybrid Energy, Stand Alone System, Photovoltaic, Wind Energy, Power Management, perturbs and observes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India transportation is a booming field where the count of e-vehicles increasing day by day.Security and maintenance of those e-vehicles is a risky one. Monitoring e-vehicle parameters and battery health level is an ideal to know without making any physical touch of the e-vehicle.IoT based e-vehicle parameter monitoring system is a capable one which leads to monitor our e-vehicle's parameters through an IOT. In this technology world, technology is increasing by giving solutions to many problems. By using this technology, a solution for decreasing air pollution is implemented. The main cause of increasing air pollution is using various kinds of vehicles that run on combustion engines for transportation utilities. The implementation of Electric Vehicle (EVs) can resolve this air pollution problem and keeps the environment as pollution-free air and the world can survive in pure air. EVs are like machines that run on a charging battery. An EV's condition is depending on the battery's performance. The parameters for the battery's condition the voltage, current, and temperature. By using these parameters State of Charge (SOC) is determined. These performances are monitored as Battery Management System (BMS). In this paper, the EV monitoring system is implemented using the combination of Artificial Intelligence (AI) and Internet of Things (IoT) interfacing by the sensors in the vehicle's battery, and to the cloud. The performance of the battery is monitored using the mobile application of the cloud.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI) and Internet of Things (IoT)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In recent times, the world has been experiencing an increase in medical cases. These medical cases are due to the inappropriate disposal of hospital wastes. Medical wastes are not minded properly that contain hazardous wastes that lead to different viruses. Medical waste is some waste that is generated in healthcare centers, such as hospitals, clinics, and laboratories. Medical waste can contain chemicals, such as mercury, lead, and other hazardous materials that can leach into the soil and water, leading to environmental pollution. This pollution can also cause health problems for people living in the surrounding areas. The medical waste may contain infectious or hazardous materials that can pose a risk to human health and the environment. Hazardous waste in hospitals may include: Chemical waste that includes expired or unused chemicals, such as laboratory reagents and solvents, that can pose a risk to human health and the environment if not properly managed. Pharmaceutical waste which includes expired, unused, or contaminated medications, as well as chemotherapy drugs, which can be toxic and harmful if not properly disposed of. Radioactive waste which includes materials that contain radioactive isotopes, such as medical equipment used in radiation therapy or nuclear medicine. Infectious waste includes waste contaminated with infectious agents, such as blood-soaked bandages, used needles, and cultures from laboratory experiments. Sharps waste that includes used needles, syringes, and other sharp objects that can cause injury or transmit infection. Proper management and disposal of hazardous waste in hospitals is critical to protect the health and safety of patients, healthcare workers, and the environment. This may include segregating hazardous waste from non-hazardous waste, providing designated containers for different types of waste, labeling containers appropriately, and ensuring that waste is stored and transported safely to prevent contamination. Hospitals may also use specialized treatment methods, such as incineration or autoclaving, to treat hazardous waste before disposal.Medical waste is potentially dangerous. So, we have proposed a modified method of Sorting of medical wastes in the dustbin is very important. In this Continuation, we framed different rules to apply to treatment of different types of waste. We designed the Smart hospital waste management dustbin by using different sensors for different purposes. The bins are classified based on color. Four colors Red, Blue, Yellow, and Black indicate the different wastes in the Hospital. Sensors such as Ultrasonic measure the distance of the waste to be disposed of and it works along with the Servo Motor for the opening and Closing of the lid. Here, the Camera module for Arduino UNO is attached for the waste Image Recognition and classifies according to the color of the bin. The Gas sensor is set with the maximum range of the gas that stinks from the bin and it alerts the worker by ringing the buzzer. The Buzzer also works when the dumpster is filled. It must be properly managed to protect the general public. Specifically, healthcare and sanitation workers who are regularly exposed to biomedical waste as an occupational hazard. Additionally, a GSM module is connected for the SMS Alert to the frontline workers when the bins get filled and when it stinks. This helps the workers for the immediate action. Healthcare facilities should follow proper protocols for segregation, treatment, and disposal of medical waste to ensure the safety of their employees, patients, and the environment. Hence, disposal and accumulation of waste in the proper manner is of great value as it can lessen direct and indirect health risks to people and damage to flora, fauna and the environment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino UNO, Ultrasonic Sensor, GSM Module, Image Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rise of criminal activities worldwide has created a need for law enforcement agencies to implement more efficient methods for preventing crime. Traditional crime-solving techniques have been shown to be inadequate in the face of increasing crime rates. As a solution, the integration of machine learning (ML) and computer vision algorithms and techniques is a promising approach for predicting and preventing crime. The main objective of this study is to illustrate the potential of ML and computer vision in assisting law enforcement agencies in detecting, preventing, and solving crimes with greater speed and accuracy. The study highlights previous successful cases where these techniques have been applied, demonstrating their impact on law enforcement agencies through statistical analysis. The significance of this research lies in the potential to revolutionize law enforcement by significantly improving crime detection and prevention. If implemented successfully, the use of these techniques has the potential to ease the burden on police officers and lead to more effective crime prevention measures. The primary objective of this study is to create a machine learning-based predictive model for crime rates. The dataset utilized in this research encompasses various socio-economic, demographic, and geographic attributes that may influence crime rates. Different machine learning algorithms such as decision trees, random forests, and neural networks are used in this study to build and compare predictive models. The findings reveal that the predictive model based on the random forests algorithm delivers the highest accuracy for predicting crime rates. This research highlights the potential of machine learning techniques as a valuable tool to aid law enforcement agencies and policymakers in making informed decisions to prevent and reduce crime rates.

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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

 Abstract

Women write themselves based on the gender norms imposed upon their sex and the societal restrictions and standards practiced by the society at large. This paper aims to study how Shudha Mazumdar writes herself in the backdrop of a conservative society that she lived in and upon which she based her writing. The Self presented in women's writing is significantly different from that of a man as women identify themselves with a male figure in their life: be that of a father, husband, brother or son. Women depend on another relationship to write themselves and generally do not represent themselves as an autonomous identity but an identity in relation to another. The concept of relational identity needs to be explored further in order to understand how relationships influence identity and life-writing of woman autobiographers. Identity, particularly in women, is based on the kind of relationship she has with her family members, especially the mother. Her relationships with her family and loved ones permits her to explore her identity and define herself.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-representation, identity, gender, autobiography, relational identity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The CAE tools are used in this work to assess and optimize the designs produced within the CREO software, which is used for the optimization of the oil filter support bracket used in our vehicles that are malfunctioning on the field in the South African market. Finite Element Analysis was used to validate the bracket's endurance and other characteristics. The bracket is subjected to both static and dynamic analysis, as well as mode and stress analysis. The new design is optimized using form and topology optimization methods to reduce the breakage failure of the Fuel filter support bracket and increase the stiffness of the bracket. The optimized design generated by the CAE tool is then empirically verified. The new design results in tension levels that must be lower than the material's durability limit, add to greater mass while costing less, and is efficient in mounting assembly. The CAE tool findings had a very high match with the testing results.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

oil filter, CAE tool , CREO software, optimization, fuel filter method

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Intersections should have traffic signals for the purpose of ensuring safe driving. They disrupt and lessen traffic flow because of the queue delays at each traffic flow. In areas with high population densities, traffic congestion is a major challenge. Your location can be reached in a short while or up to an hour. Because to inefficient traffic management, which might be remedied much more swiftly in the technologically advanced world of today. For better traffic control, image processing techniques are developed as opposed to a time-based approach. Image processing enables us to more quickly clear traffic by calculating the number of vehicles in each traffic lane. This project makes use of the Yolo algorithm. The real-time characteristics of the traffic flows intended to cross the intersection at each traffic light are taken into account by this algorithm during the planning phase. The new algorithm will result in a decrease in traffic waiting time at intersections with signalized traffic, which will improve traffic flow. Also, more cars will be passing the crossing every second.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traffic Management, Yolo Algorithm, Signalized Traffic.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The format and design of the vehicle number plate are to be recognised using fancy number plate detection. The number plate contains the vehicle identification number and passing information. The format of licence plates as specified by the RTO and the government must be recognised by the system we are creating. We snap a picture of the vehicle's number plate and use number plate recognition software to examine it to see if it complies with RTO requirements. It also has a wide range of potential future uses for decreasing criminal activities, like auto theft. Our objective is to produce a reliable, strong product.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Character segmentation, fancy number plate recognition, image processing, database comparison and RTO.

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Creative Commons Attribution 4.0 and The Open Definition