Volume 11 | Issue 6 |

 Abstract

The widespread development of technology has brought laurels to various fields which includes the medical field. The present world keeps changing and the innovations brought about in the medical field have also an equal and upcoming competition in the black markets where ethics are put to question. The demand has made human beings put oneself first in most of the cases. Transhumanism dedicates its knowledge to the improvement of humans on three basic pillars with the notion of improving the intelligence, longevity and wellbeing. The Ghost is a short story written by Alicia Pollard which has the protagonist Eve living in a mining ship with multiple cabins designed just as if living on land. Her foster brother Simon has been with them for only three months. Just as it can be easy to put someone away from a crime, Eve takes a decision that alters a consistent network. This short story has various layers with stern determination that humans have indeed progressed. The interventions in the natural human body of Simon, has him in a state that is between a mechanical robot and a human. Using Latour's Actor Network Theory, this paper will unfold the actants' choices and also the indispensable actor that influences the choice. The equally important functioning actors are the crux of a system in the Actor Network Theory (ANT). The ethical state of the choices is debated with only a few moments to spare the transhuman. The paper also tests the human action based on the existing hybridity in reality and fiction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human enhancement, Choice, Actor-Network Theory, Mediators, Bioethics, Bioregeneration, Outcome

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, the efforts of selected people apprehensive about the development & aptness of multimedia systems selected, electronic storage & electronic information are examined. This paper is all about or includes the use of coding to make an electronic portfolio that can easily be readable and approachable to the viewers such as interviewers or visitors as freelancers. E-portfolio is an interesting & easiest way to let people introduce to your professional sights like your name, about you, skills, qualification and etc. When the outcome of the e-portfolio study is examined, it has been insistent that various variables that will represent several aspects of the e-portfolio application improve in good practice, such as achievements, attitudes, creativity, practical skills, and other factors of electronic portfolio application users, portfolio. User feedback is an excellent study.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HTML, CSS, JAVASCRIPT

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is aimed at the investigation and review of the social crowdfunding platforms. We study the prevalent high cases of corruption and fraud in the delivery of financial benefits to the intended recipients on the social crowdfunding platforms. We also study the current model of public and private tender funding structure and the causes of cost-overruns and contract-failure in these projects. We discuss a novel theoretical and practical model of giving the control of money to the original funders based on a conditional contract. We review and postulate a new blockchain based funding model to fund the causes on social crowd-funding platforms and also the Public/Private/PPP (Public Private Partnership) projects. We also discuss how adoption of a transparent mechanism of funding will make it easier to attract funding for genuine projects and inspire confidence of the general community.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Contract, Blockchain, Solidity, Crowdfunding, Escrow, Fraud Prevention, Non-profit, Government Tenders, Distributed Ledger Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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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

This study aims to investigate the sound characteristics exhibited during the no load mechanical run test of a gearbox and develop an effective acoustic hood to mitigate the resulting noise. The experimental setup involves subjecting the gearbox to a no load mechanical run test, which simulates its normal operating conditions without any external load. During the test, sound pressure levels are recorded using Bruel and Kjaer meter at three different locations surrounding the gear. The recorded data is then analyzed by dividing it into octave bands to determine the distribution of sound energy across different frequency ranges. The analysis indicates peak sound energy levels at specific frequencies and provides valuable information of designing an effective noise reduction solution Based on the findings, an acoustic hood is developed to attenuate the sound produced by the device and effect of the acoustic hood will be evaluated. The developed acoustic hood successfully reduces the sound pressure levels in the identified frequency ranges. The results demonstrate the importance of frequency-specific noise reduction measures in improving the acoustic performance of the device.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sound pressure level, octave bands, acoustic hood, glass wool

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vehicle-to-vehicle (V2V) communication is a technology that enables vehicles to communicate with each other, exchanging information about their location, speed, and direction of travel. This communication has the potential to greatly improve road safety, reduce traffic congestion, and increase fuel efficiency. In this paper, we provide a comprehensive review of the current state of research in V2V communication, including its underlying technologies, standards, and applications. We also discuss the challenges and opportunities that lie ahead for V2V communication, and propose several directions for future research. V2V (vehicle-to-vehicle) communication is an important aspect of the intelligent transportation system (ITS) that enables vehicles to communicate with each other in real-time. The use of LoRa (Long Range) communication technology is becoming increasingly popular due to its low power consumption, long-range communication capability, and low cost. This paper presents an abstract of V2V communication using LoRa technology, which can enable vehicles to exchange information such as location, speed, and direction with neighboring vehicles in a secure and reliable manner. The proposed system utilizes a LoRa-based transceiver module and employs a packetization technique for transmitting and receiving data between vehicles. The system's effectiveness was evaluated through simulation and experimental results, which demonstrate that the proposed system can achieve reliable communication over long distances while consuming low power. This abstract highlights the potential of V2V communication using LoRa technology to improve the safety, efficiency, and reliability of vehicular communication systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

V2V communication, LoRa technology, Intelligent Transportation System, transceiver module, simulation, experimental results.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main objective of object detection is to detect various objects in a video stream with more accuracy and with less computation time. Image classification involves assigning a class label to an image, whereas object localization involves drawing a bounding box around one or more objects in an image. The object detection algorithm YOLO to examine the entire image in a single instance and predicts the bounding box coordinates and class probabilities for these boxes. This project uses Yolo algorithm with Sort tracker to detect and track various objects in a video stream derived from a Webcam and through the pre-recorded video. From the experimental study, the accuracy of object detection varies from 72% to 97%. The existing algorithms take more time to process each frame and accuracy is also less. The Intersection over Union will decide prediction of each object as Good one. The Nonmax suppression technique will get a single prediction per object. The biggest advantage of using YOLOv7 can process 155 FPS. The experiment was conducted in VScode . The video taken from various places were used to examine the effectiveness of the proposed approach. The experimental results show that our proposed approach can effectively improve the accuracy rate in detection of various objects in an image and also track it. with many applications including surveillance, robotics, autonomous vehicles, and augmented reality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Object detection and tracking, computer vision, yolo model, deep learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cooperative societies are based on moral believes and significance. The main objective of cooperative society is to provide the basic services to its members. The present study seeks the role of milk cooperative societies in community development in Nankhari development Block of District Shimla, Himachal Pradesh. For the purpose a primary survey was carried out through the interview schedule to find out the benefits due to becoming the member of the cooperative societies. The study shows that the members were benefitted in different way after becoming the active member of the milk cooperative societies.

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Creative Commons Attribution 4.0 and The Open Definition

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Cooperative Societies, Rural Development, Profits, Socio-economic conditions, High yield breeds, Encouragement, etc.

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Creative Commons Attribution 4.0 and The Open Definition

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PPE stands for Personal Protective Equipment, which refers to protective gear or equipment designed to protect individuals from potential hazards or injuries in the workplace. PPE includes items such as helmets, gloves, safety glasses, vest. The use of PPE is essential in many industries, such as construction, manufacturing, and healthcare, to ensure the safety and well-being of workers. PPE must meet specific safety standards and be appropriate for the type of work being performed to provide effective protection against potential hazards. Deep learning techniques have enabled the automation of PPE detection, making the process more accurate and efficient. This paper proposes an extension to an existing PPE detection system using YOLOv5 that detects whether a person is wearing a helmet or not. The proposed system employs YOLOv8 and achieves an accuracy of 94.5% for detecting helmets, an improvement over the existing system's 92.2% accuracy. Additionally, the proposed system provides several new features, including the detection of vests, gloves, goggles, masks, and shoes. These new features enhance the system's safety capabilities by identifying workers who may be at risk due to a lack of appropriate PPE. The proposed system's performance demonstrates the potential of deep learning techniques in improving workplace safety, reducing workplace accidents, and promoting safer working environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PPE, safety and protection, computer vision, yolo model, deep learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OSN, Cyber Bullying, RF, SVM, Fake Accounts

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Creative Commons Attribution 4.0 and The Open Definition