Volume 12 | Issue 4 |

 Abstract

Human face having the different emotions. The emotion has varied forms like Happy, Surprise, Angry, Neutral, Sad, Fearful. The emotions are taken as the input from the inbuilt camera. We have used the Convolutional Neural Networks for emotion detection of the image taken from inbuilt camera and for implementing CNN we use Python, HTML, CSS, Django. Automatically Music playlist as well as Video is generated by identifying the current emotion of the user. The user can choose either music or video for their capability. The Music is useful for the people having audible sense and video is useful for the deaf and dumb people. Here it works by using the Spotify dataset for song recommendation and animation video for the visible outcome.

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 Keywords

Python, Django, CSS, HTML, CNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project focuses on a solar-based wireless charger utilizing inductive capacitance to transfer power wirelessly. It combines a solar panel, inductive capacitance coils, and a battery storage system. The solar panel harnesses sunlight to generate electrical energy, which is then wirelessly transmitted to devices through inductive capacitance coils. This technology eliminates the need for physical charging cables, streamlining the charging process and reducing clutter. Moreover, a battery storage unit stores surplus energy for use during low-light or nighttime conditions, ensuring a continuous power supply. By efficiently transferring power wirelessly, the system minimizes energy loss and contributes to a more sustainable and convenient charging solution for various electronic devices. This innovation represents a significant step towards eco-friendly and user-friendly charging technologies, merging the advantages of solar energy with wireless charging for a cleaner and more efficient power ecosystem.

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 Keywords

wireless charger, solar power, cords, TAM, photovoltaic cells, AC to DC, inductive charging, thermoelectric

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 Abstract

Single crystal of cadmium manganese oxalate crystals was grown by using agar - agar gel method at room temperature. Effect of various parameters on the growth of cadmium manganese crystals has been studied and reported. X- ray Diffraction analysis was done to determine the structure of grown crystal. Orthorhombic crystal structure was found of grown crystal. The chemical analysis has been performed by FTIR to denote the functional group of grown crystal. Scanning Electron Microscope images highlights that crystals were grown by layer deposition. Elemental analysis carried out by Energy Dispersive X-ray Analysis (EDAX). Thermal behavior of grown crystal studied by using Differential Scanning Calorimeter (DSC).

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 Keywords

Single diffusion, XRD, FTIR, SEM, DSC, EDAX

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 Abstract

Current challenges in healthcare involve the delayed detection of critical events due to the lack of real-time capabilities in traditional EMG signal processing systems. To overcome this, our solution integrates IoT technology to capture, process, and transmit EMG data in real-time. Key objectives include the development of real-time EMG signal processing algorithms, secure IoT communication channels, and an effective alert mechanism to notify healthcare providers of clinically significant events. Challenges such as data security, privacy, and device compatibility are addressed to meet healthcare industry standards. The envisioned outcome is an advanced IoT-enabled EMG signal management system that ensures prompt alerts, facilitating the guardian to remotely monitoring the patient with neuromuscular disorders.

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 Keywords

Real-time EMG processing, IoT-enabled EMG, Neuromuscular disorders, Remote patient monitoring, Clinical alerts

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 Abstract

Predicting stock prices accurately remains a challenging task, driving continuous research efforts in leveraging various machine learning, deep learning, and statistical analysis techniques. This paper presents a comparative study of four different models BiLSTM, GRU, CNN-LSTM, and ARIMA for stock price forecasting, using data from the S&P 500 index and five prominent technology companies: Meta, Apple, Google, Netflix, and Amazon. The study aims to identify the most effective model for maximising returns on investment in stock trading by forecasting future trends. Leveraging a dataset sourced from Yahoo Finance, comprising historical stock market data, we evaluate the performance of each model based on error metrics such as , Mean Squared Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The research findings highlight the strengths and weaknesses of each model in accurately predicting stock prices. Lower RMSE values indicate higher accuracy in predicting stock prices, guiding investors towards more informed decision-making. Through this comparative analysis, investors can identify the optimal model for stock price forecasting, thus enhancing their investment strategies and maximising returns.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, LSTM, GRU, ARIMA, MSE, RMSE, MAE, Forecasting, Stock Market

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human rights education is crucial for fostering a culture of respect for human rights. This qualitative research paper investigates the role of human rights literature in advancing human rights education, focusing on textual analysis. By examining the literary elements and devices in selected fictional works, this study aims to reveal how literature effectively conveys human rights principles. The research highlights the significance of literary terms, such as symbolism, allegory, and characterization, in transmitting the concept of human rights education. Furthermore, this paper presents examples from selected fictional works to demonstrate the ongoing relevance of literature in addressing contemporary human rights issues.

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 Keywords

Textual Analysis, Text Analytics, Human Rights Literature, Human Rights Education, Literary Terms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction: Globally the social media platform are distributed widely and there is no proper control over it, makes it impossible ot fight against cyber criminals. Cyber security is an invention that's depict to secure networks and devices from external warning. It is a system of protecting computers, servers, mobile devices, electronic systems, network and data from suspicious attacks. It is also known as information security. The risks manifested by cyber security come in 3 folds; cybercrime involves mono group or poly groups targeting systems ofr financial gain or lead to disturbances. Cyber-attack often includes information gathering related to political motivation. Cyber terrorism makes the people to show panic or fear in weakening the electronic devices. Through regular seminars, training programs and conferences the users and social media content providers can be educated about the cybercriminals and its consequences. The aim of the study is to assess the level of awareness of cybersecurity measures among nursing students at selected college. An Experimental research design was used in this study. A total of 30 students were selected by using Non probability convenience sampling technique. The modified standardized tool (CASM-S) was used to collect data. Conclusion:The findings revealed hence there is a highly significant difference between pre and post-test level of awareness among students at the level of p<0.0001. The researcher needs to understand the level of awareness of cybersecurity measures and its consequences of cybercrime

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Cybersecurity,cybercrime,nursing students, modified standardized tool (CASM-S).

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Employee motivation is a complex and vital aspect of organizational behavior and management. It involves understanding what drives individuals to perform at their best within a workplace setting. Factors such as recognition, rewards, job satisfaction, autonomy, and a sense of purpose all play significant roles in motivating employees. Research in this area often explores various theories, such as Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theory, and Expectancy Theory, to understand the underlying mechanisms of motivation. Moreover, the modern workplace dynamics, including remote work and the gig economy, have added new layers to the understanding of employee motivation. Ultimately, effective employee motivation strategies are essential for fostering a productive and engaged workforce, leading to higher levels of job performance, satisfaction, and overall organizational success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recognition, Rewards, Job satisfaction, Autonomy Purpose, Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theory.

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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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Azo dyes, Fenton process , Direct blue 15 , UV spectrophotometry, Wastewater, Calibration Curve

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Creative Commons Attribution 4.0 and The Open Definition

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The goal of the study paper was to illustrate the value of an experiential approach, a flexible ideation process, and improvements in the field of design. It seeks to highlight the importance of the experiential learning approach in design education. Based on a few particular design projects completed by the designer and design practitioners, the diverse efficacy and impacts of design practise have been highlighted throughout the paper. Each project has a unique contextual narrative that gives viewers important visual elements and emotional values. The research has now come to a conclusion: Experiential learning results are mostly associated with the critical thinking skills and user-oriented design practices, which are more successful than conventional approach of design education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Design, Effectiveness, experiential learning, analytical thinking, outcomes, projects

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Creative Commons Attribution 4.0 and The Open Definition