Journal of Science & Technology (JST)
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THE INTELLIGENCE AMBULANCE: BRIDGING AI AND HUMAN INTERACTION TECHNOLOGIES
Get PDFThe field of emergency medical services (EMS) has undergone significant advancements over the years, with a focus on improving response times, patient care, and overall outcomes. The integration of artificial intelligence (AI) and human interaction technologies into ambulances represents a transformative approach to enhance emergency medical care. The background encompasses the evolution of EMS, the rise of AI in healthcare, and the potential for synergies between technology and human interactions in emergency situations. Historically, ambulances have primarily been vehicles equipped with basic life support equipment and staffed by paramedics and emergency medical technicians to provide initial care during transportation to a medical facility. Communication with hospitals and the processing of patient information be manual and time-consuming. The traditional system is lack of real-time data analysis capabilities and decision support tools that AI can offer in emergency situations. The problem at hand is optimizing emergency medical responses and care through the integration of AI and human interaction technologies within ambulances. This involves addressing challenges such as quick and accurate diagnosis, communication between emergency responders and healthcare facilities, and the provision of real-time medical information to enhance decision-making. The goal is to create a seamless, intelligent, and responsive system that improves patient outcomes during critical moments. The need for the intelligence ambulance arises from the recognition that leveraging AI and human interaction technologies can significantly enhance the efficiency and effectiveness of emergency medical services. In critical situations, quick and accurate decision-making is crucial, and the integration of intelligent systems can provide valuable support to healthcare professionals. This approach can also improve communication, data sharing, and coordination between ambulances, hospitals, and other healthcare entities
AI-powered Approach for Accident Occurance Alerting from Traffic Surveillance
Get PDFAccidents have been a major cause of deaths in India. More than 80% of accident-related deaths occur not due to the accident itself but the lack of timely help reaching the accident victims. In highways where the traffic is light and fast-paced an accident victim could be left unattended for a long time. The intent is to create a system which would detect an accident based on the live feed of video from a CCTV camera installed on a highway. The idea is to take each frame of a video and run it through a deep learning convolution neural network model which has been trained to classify frames of a video into accident or non-accident. Convolutional Neural Networks has proven to be a fast and accurate approach to classify images. CNN based image classifiers have given accuracy's of more than 95% for comparatively smaller datasets and require less preprocessing as compared to other image classifying algorithms
Design and Fabrication of Aquaponics Using IOT – A Review
Get PDFAquaponics uses hydroponics and aquaculture instead of soil to grow plants and fish. It is a method of food production that is sustainable for the environment. Fish and plant are partners in a low-cost symbiotic cycle. The plant bed in an aquaponic system receives fish waste (ammonia), which it then filters through a bio-filter. figuring out the nitrate required to develop vegetation. After that, fresh, clean water is added once more to the fish tank to restart the cycle. An aquaponic system's advantage is that it uses water more wisely than conventional irrigation systems. Water is frequently piped between the plant bed and the fish habitat to preserve it. Another advantage of aquaponics is the organic fertilisation of plants using dissolved fish excrement. Another advantage of aquaponics is the organic fertilisation of plants using dissolved fish excrement. When employing plants as a natural substitute for conventional filters, less water quality monitoring is necessary. Our study's long-term goal is to use IOT to pinpoint the perfect conditions for an aquaponics system, which would efficiently and sustainably produce food and conserve water
An Overview of Fig Nutritional Composition and Phytochemistry
Get PDFThe fig belongs to the Mulberry family, which is said to be one of the oldest known fruit plants in human civilisation. Figs are a delectable fruit that is also high in minerals such as iron, calcium, copper, potassium, and magnesium. Traditionally fig plant was used as medicine to treat many health diseases. In this article, we want to describe about the botanical feature, history, production of the fig and its use to cure different health issues. Phytochemical studies of fig fruits and leaves have revealed the high composition of volatile compounds, phenol and organic acids in them. The important medicinal properties involve anticancer, antimicrobial, hepatoprotective, and hypoglycemic activities. This article is to gather information about component of fig, history, production and their medical benefits
WASTEWATER TREATMENT USING PLANT LEAVES ASH
Get PDFThe study based on wastewater treatment using different plant materials like neem (Azadirachta indica) and mango (Mangifera indica) plant leaves ash are innovative and ecofriendly approaches towards sustainable wastewater management. This work focuses on using the plant materials as adsorbents for removing pollutants from wastewater. The plant materials are subjected to high temperature in a controlled environment to obtain ash, which are used for the removal of pollutants such as heavy metals, organic compounds, and nutrients from wastewater. The study aims to investigate the efficiency of each plant material as an adsorbent, and the potential of the mixture of plant materials for wastewater treatment. The study could have significant implications for the development of low-cost and eco-friendly wastewater treatment technologies. The use of plant materials ash for wastewater treatment could provide a sustainable and natural alternative to conventional wastewater treatment methods. The results showed that, plant leaves ashes were effective in reducing the levels of pollutants
Deep Learning and image processing based ATM security and identifying the face
Get PDFA facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based using Convolutional Neural network (CNN). Automated Teller Machines are widely used nowadays by people. But It‟s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. The ATM card may get damaged and users can have a situation where they can‟t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the combination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the databas
SLOT HARMONICS IN CAGE MOTORS DUE TO SATURATION OF A MAIN MAGNETIC CIRCUIT
Get PDFThis study discusses how saturation of the main magnetic circuit by the fundamental MMF harmonic affects the Fourier spectra of phase currents in cage motors. The concept of a magnetic current's equivalent is used. As a result, we can understand when and why new bars form in stator current spectra by taking into account the effect of all currents on the permeability of the main magnetic circuit. Measurements corroborate the conclusions of our thinking
The stability of the earth– forces enabling the balance and stabilization of the earth for a very long period
Get PDFThe earth was formed about 4.5 billion years ago. At the time of its creation, it underwent many large changes which in time gradually lessened, though have never ended. Today the earth is relatively stable and in order for it to continue existing over a very long period. There are forces that balance and stabilize it, such as: The centrifugal force behind the movement of continents; change in the axis of the rotating earth; gravity of the sun that changes the location of the earth’s axis on the earth’s mantle; the changing location of the earth's core; the influence of the moon
A Protection System For Securing Multimedia Content In The Cloud
Get PDFEvery day, a vast amount of multimedia content is generated and shared on the internet. Unfortunately, it has become all too easy to duplicate copyrighted materials. To address this issue, in this work to introduces an innovative system for safeguarding multimedia content on cloud infrastructures. When these duplicated multimedia materials are illicitly distributed online, Content creators suffer significant revenue losses. Detecting these unauthorized copies of multimedia content is a challenging task. This paper presents a pioneering system designed to protect various types of multimedia content, including 2-D/3-D videos, audios, images, and more. Built upon cloud infrastructure, this system offers rapid access to computing hardware and software resources. Its key components involve generating signatures for 3-D videos and utilizing a distributed index to match multimedia objec
Design and Development of Six-Wheeled Robot with Rocker Bogie Suspension System
Get PDFThis project presents the design and development of a six-wheeled robot equipped with a rocker bogie suspension system, Bluetooth-based control (voice and keys), and an ultrasonic sensor with a servo motor. The rocker bogie suspension, inspired by NASA's Mars rovers, enables the robot to traverse challenging terrains while maintaining stability and balance. The robot's control system utilizes Bluetooth technology, allowing users to operate it through voice commands or key inputs. The integration of ultrasonic sensing with a servo motor enhances the robot's ability to detect and avoid obstacles in its environment. The robot's mechanical design, control architecture, and sensor integration are discussed in detail, highlighting the key features and functionalities. Experimental results demonstrate the effectiveness of the proposed system, showcasing the robot's superior mobility, precise control, and obstacle avoidance capabilities. The developed robot presents a versatile platform with potential applications in exploration, surveillance, and other domains where robust and adaptable locomotion is required