Volume 12 | Issue 3 |

 Abstract

In the world with advanced technology, where few confidential tasks are done through the medium of voice there is need for Voice Recognition. There are many chances that may outbreak with improper recognition of one's voice such as security, authentication, accessibility, convenience and communication. Deep Learning Technique is one of the efficient techniques that will make use of artificial neural networks using Machine Learning Algorithms to detect tasks with provided training data. Here we use Deep Learning Technique to recognize the difference between True and Fake voice considering the 50 neurons that are associated in the hidden layer architecture for the purpose of pattern recognition with 80 is to 20 of percent training and testing data. The extracted features also include the MFCC (Mel-Frequency Cepstral Coefficients) with thirteen coefficients for each frame. Further the performance is evaluated based on different parameters such as accuracy, precision, recall, F1-score, and confusion matrix analysis, approaching to be an effective model to distinguish the True and Fake voice signals in a detailed manner.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real and fake voice classification, Deep learning, Pattern recognition network, Mel-Frequency Cepstral Coefficients (MFCC), Accuracy, Precision, Recall, F1-score, Confusion matrix.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the realm of emergency response, the convergence of Internet of Things (IoT) technology and robotics has ushered in a new era of proactive and efficient firefighting systems. This abstract introduces an innovative approach to firefighting by leveraging IoT connectivity to orchestrate intelligent and autonomous robotic systems. The proposed framework comprises a network of strategically deployed sensors designed to promptly detect fire outbreaks, assess environmental conditions, and relay real-time data to a centralized control unit. Through seamless communication protocols, the system ensures instant connectivity and data transmission between the firefighting robot, the centralized control, and the IoT cloud. Equipped with sophisticated actuators and AI-driven decision-making capabilities, the firefighting robot interprets incoming data to make swift and informed decisions. It autonomously navigates hazardous environments, using actuators to precisely apply extinguishing agents, thus mitigating fire spread and minimizing damage. The integration of IoT facilitates remote monitoring and operation, allowing firefighting experts to oversee operations and intervene when necessary, even from distant locations. This scalable and adaptable system can seamlessly integrate with existing infrastructure, paving the way for a unified and responsive emergency management system. This paper delves into the architecture, functionalities, and potential applications of this IoT-driven firefighting robotic system, emphasizing its ability to enhance early fire detection, optimize response times, and reduce risks to human responders in complex and dynamic fire scenarios.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Firefighting Robot; Flame Sensor; MQ2 Sensor; L293D Motor Driver; Sim 800L; Bo Motors; LM2596BuckConverter.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines the intricate relationship between CSR Communication and Corporate Social Responsibility (CSR), underpinned by the hypothesis of a significant association between the two. It delves into the risks organizations face when communicating their CSR efforts, as they may be perceived as engaging in mere marketing tactics, leading to stakeholder scepticism and loss of trust. The discrepancy between company actions and stakeholder interests underscores the importance of understanding and meeting societal expectations for fostering trustworthy relationships. By addressing this research gap, the chapter employs a multi-method approach to analyze companies' communication strategies and stakeholders' expectations. It navigates through the evolving global landscape marked by globalization's impacts on markets, regulations, and societal structures, emphasizing the growing emphasis on CSR and its integration into business strategies. Through critical examination and empirical evidence, this chapter contributes to understanding the complexities of CSR communication and its implications for corporate engagement and societal trust.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CSR, Corporate Engagement, Stakeholder Expectation, Companies CSR

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The emergence of phytosomes as nanoparticles and nanocarriers represents a significant advancement in drug delivery and natural compound utilization. Phytosomes, specialized formulations involving the complexation of plant compounds with phospholipids, have garnered attention for their ability to enhance the bioavailability, stability, and targeted delivery of active ingredients. This review explores the evolution of phytosomes, elucidating their preparation methods and mechanisms of action as nanocarriers. The unique amphiphilic nature of phospholipids allows them to encapsulate hydrophobic plant compounds, forming lipid bilayers reminiscent of cell membranes. This encapsulation improves solubility and protects compounds from degradation. The resultant nanoparticles offer advantages such as improved absorption, reduced irritation, and versatile formulation possibilities. Through a comprehensive analysis of existing research, this review highlights the promise of phytosomes in pharmaceuticals, cosmetics, and nutraceuticals. The synthesis of knowledge underscores the potential of phytosomes as a bridge between traditional herbal remedies and modern nanotechnology, paving the way for enhanced therapeutic applications and innovation in natural product utilization.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phytosomes, Nanoparticles, Nanocarriers, Novel drug delivery system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

????? ???????? ?? ?????? ??? ?? ????????? ?????? ???? ?? ???????? ??? ?? ?? ??????? ?? - "?????" ????? ?? ????? '????' ?? ??, ???? ?? ???? ?? ?? ?? ??? ?? ???? ??? ?????? ??? ???? ???? ????? ?? ??????? ??? ?????????? ?? ??? ???? ???????? ?? ?????? ?? ??? ??? ??? ?? ????-???? ??????? ????? ?? ??????? ???? ?? ??? ??? ???? ????? ?? ????? ??? ?? ?? ??? ????? ???? ??? ??? ?? ???? ???? ?? ????????? ?????? ????? ?????? ???? ??? ??? " ????" ????? ?? ?? ??????? ?? ?? ???????? ??? ?????? ????? ?? ?? ????? ?????? ?? ????? ??? ?????? ???? ?? ??????? ????? ???? ??? ?? , ?? ???? ?? ?? ????? ?? ??????? ???? ?? ??? ??? ???? ?? ????? ??? ??? ??????? ??? ?? ???? ??? ?? ?? ?? ???? ???? ?? ????? ?? ?? ????? ?? ???? ???? ????? ??? ?? ???? ????? ?? ???? ???? ?? ???? ?? ???? ?? ??? ?? ?? ???? ?? ??? ?????? ?? ??? ?? ???? ?? ??? ?? ?? ??? ?? ??????? ?? ???? ?? ?? ??? ??? ???? ?? ????? ???? ?? ??? ?? ?? ???? ?? ????? ??? ?? ??????? ?? ???? ?? ?? ??? ??? ????? ?? ????????? ?? ??? ?? ????? ???? ???? ?? ??? ?? ????? ?? ????? ?? ????????? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

?????? ?????, ???????, ?? ?????, ?????? ????? ,??????????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

??????:- ????????? 1912 ????? ??? ?????? ????? ????? ?? ??????? ??? ?? ????? ??????????? ?? ??? ???? ???????? 1936 ????? ??? ?????? ?? ?? 15 ???? 2000 ????? ??? ?????? ?? ??? ???? ??????? ????? ?? ???????? ????? ???? ???? ?? ?????????? ?????? ?? ??????? ??? ????? ?? ??????? ??? ???????? ?????? ?? ?????????? ?????? ??? ????? ?? ?????????? ?????? ??? ??? ????? ????, ???? ?? ?????? ???????? ??? ???, ???????? ??????, ?????? ??????? ???????- ????? ?????? ?? ?????? ???? ??? ??????? ??????? ??? ??????? ??? ?? ????? ??????? ?? ???????? ?????? ??? ????????? ?????? ?? ?????? ??????? ???? ?? ?????????? ?????? ?? ????? ???? ?? ???????? ?????? ?? ????? ?????????? ????? ???? ?? ?? ??? ?????? ?????????? ???? ???? ?????? ???, ??????? ??????, ??????? ?????, ????? ??????, ??????, ??? ????? ??????, ????? ?????????, ???????? ??????, ???? ??????, ??? ????? ????? ?? ?????? ?????? ????? ?? ??????? ??? ???????? ??????? ??? ?????????? ?????? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

????????, ??????, ???????, ??????????, ??????? , ????????, ??????????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fifth generation (5G) is the current trend followed among the world's leading telecommunication companies. The compact designs of antennas made it possible for them to resonate at higher frequencies, thus to enable the devices to attain higher data rate as compared to 4G technology. This project deals with the design of a novel low cost, high gain antenna. The antenna has an array structure which is suitable for 5G cellular applications. It is designed on a low cost Flame resistant (FR4) substrate material. 5G antenna uses bandwidth over 27.5 GHz to 28.5 GHz. This antenna using 6x5 patch array elements on top of the substrate. Use of array elements enhances the gain of the antenna and the same is essential for 5G. Here transmission line feed is used and the power is divided across all the elements equally. The simulation is carried out using HFSS simulation tool. The final design is fabricated and tested using network analyzer for the return loss measurement.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Patch antenna, Micro strip antenna, VSWR, Gain, Return loss, HFSS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is one among the world's biggest markets, not only in urban arena but even the rural economy is emerging rapidly. Nearly 46% of India's national income is constituted by rural economy. Hence, the government of India is hugely supporting the rural development by encouraging youth and women to start their own businesses and become entrepreneurs instead of searching for a job in others establishments. For the same, government is determined to uplift the Rural India, by identifying untapped potentials and providing awareness of different schemes and offering other supporting initiatives including capacity building and financial assistance. The present paper highlights the Start-up and entrepreneurial initiatives in India, their crucial role in augmenting rural economy leading to rural development. This paper even provides the information about the progress of start-up initiatives taken for rural development in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rural Economy, Untapped Potentials, Entrepreneurship, Start-ups, Government Initiatives.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Every Student goes through multiple phases like peer pressure, parents pressure, etc. However, many students are dropping out of their next level of education due to various reasons. A proposed method utilizes machine learning concepts such as Decision Tree, Random Forest, Support Vector Machine, and AdaBoost. to predict students future career paths. The system, implemented using Python, assists students in choosing a course based on their personality traits, interests, and capacity to take the course. The study found that students are confused about their career options, potentially leading to wrong career selections and reduced human resource productivity. The system aims to help students make informed decisions about their future career paths.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student Career Prediction, Machine Learning, Random Forest.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper focuses on using the Python Programming Language for Predicting the Emotional Wellbeing in the college students of Tamil Nadu. It characterizes the various prevalent symptoms with respect to depression found in the degree pursuers. Further, it discusses various Python packages and libraries, including NumPy, Pandas, and Matplotlib, that are commonly used in prediction methodologies. The paper highlights the potential of Python for Analysis of depression symptoms and most frequented symptom in the students who have risk of depression

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Depression, Mental Health, Emotional Well-being, anxiety, College students.

  License

Creative Commons Attribution 4.0 and The Open Definition