Volume 11 | Issue 4 |

 Abstract

Fault identification using computer-based techniques is rapidly increasing these days in all field. Due to the increase in road accidents that occur day-to-day damage caused to the human body is more . Bone is the vital part in the body, which provides the capability to move. Fractures in bone are common in aged population. X-Ray is the first tool to identify the fracture in bone. Here in the present study computer based system is used to detect the specific location of the fractures in the bone through the X-Ray. There are many techniques available for edge identification like Log, Sobel, Canny, Prewitt, and Robert. Although, these methodologies lack with the capability to perform multi-resolution analysis which cause the inability to identify minor details during the period of analysis. Convolutional neural network [CNN] algorithm is used to increase the accuracy rather than any-other methodology which is used in the existing system.

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 Keywords

Convolutional neural network, Fracture Detection, Fracture classification.

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 Abstract

Global warming is an increase in atmospheric temperature due to re-radiation prevention of infra-red rays by the atmospheric gases as water vapor, (36-70%), carbon dioxide, ( 9-26%), methane,( 4-9%), ozone,( 3-7%), CFCs,(Re-radiation preventing capacities of the gases). The slow affect of it on the environment particularly increase in temperatures causes change in climate, change in vegetation, ice melting, decrease in land area, decrease in yielding of crops, affect on metabolism of every living being and so on. As the old proverb, addition of every drop of water form oceans, addition of pollution by every person cause global warming, but if we think and opt the sustainable practices, may be slow, but we could reduce the global warming.

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 Keywords

greenhouse effect/ global warming, sustainable practices, re-radiation, gobar gas,greenhouse gases, bacterial photosynthesis, green Sulphur bacteria, microbiome

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 Abstract

Plants have been used in Folklore medicine for thousands of years. The knowledge of medicinal plants has been gathered from different medicinal systems such as Ayurveda, Unani and Sidhha. In India it is reported that Folklore healers used 2500 plant species, among which 100species serve as regular source of medicine1. Chickmagalur district is the home of tribal's and forest dwellers more than 30% of the population consists of the tribal people with immense traditional knowledge2. Ethno botanical survey on medicinal plants is the trend in Indian scenario, it form the base for phytochemical analysis in exploration of drug industry. Snake bite till date remains a Public Health hazard in India. There are about 216 species of snakes identifiable in India, of which 52 are known poisonous. An ethno botanical survey was conducted in and around Chikmagaluru district from nativaidya or alemari or local practitioners, twenty one plants identified as used for snake bite.

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 Keywords

Ethno botanical, Anti venom, tribal, Ayurveda, nativaidya or alemari or local practitioners

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 Abstract

This paper attempts to focus on role of project exports in equilibrium of country's favourable BOP. A balance of payment is an essential element in indicating economic and financial details of a country. BOP statement also an indicator and determines whether the currency of a country is appreciating or depreciating for a given period of time. If country has a favourable BOP that indicates a nation enjoys surplus trade balance and vice- versa. One of the measures to correct disequilibrium in BOP is to export promotion of project exports.

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 Keywords

Foreign Trade, Project Export, Balance of Payment

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Creative Commons Attribution 4.0 and The Open Definition

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The Ultrasonic Sonar System controlled by Arduino and ESP32 cam is designed to detect objects within its range. It consists of two ultra-sonic sensors, a servo motor, an ESP32 cam controller, and an IoT interface. The ultrasonic sensor is attached to the servo motor, which rotates 180 degrees on either side, covering a 360-degree field of view. The system provides a visual representation of objects' angles, positions, and distances on a software called Processing IDE, based on Java programming. The system is controlled through Arduino, which interfaces with the sensor and display device. The ESP32 cam, an IoT-based microcontroller with a built-in Camera Module, sends live streaming to a local IoT server. The system also includes an automatic laser shooting mechanism. The Ultrasonic Sonar System has applications in navigation, positioning, object identification, mapping, spying or tracking, shooting, and other fields. It is suitable for indoor applications and is a cost-effective solution for those looking to implement obstacle-detection systems. Overall, this system provides an effective solution for detecting objects within a defined range.

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 Keywords

Arduino Nano, Ultrasonic sensors, ESP32 Cam, Servo motor, Lasers, LEDs.

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 Abstract

Artificial intelligence (AI) and Machine learning (ML), and Deep Learning (DL) have been applicable practicable due to the advancements in computing facilities. Almost every application in general in Industry 4.0 is going to use these advanced mathematical tools and techniques of AI and ML and DL. SMART Healthcare is not an exception for this. In healthcare applications a lot of imaging data is generated as far as diagnostic imaging modalities like Magnetic Resonance Imaging (MRI) are concerned. MR imaging is a very popular noninvasive diagnostic imaging modality with very good soft tissue contrast. Therefore, imaging data resulting from MR imaging is used in this research. Although, there are several other medical imaging modalities. The same MRI has several clinical applications beyond routine imaging, which include functional MR Imaging (fMRI) of brain, Cardic MR imaging, MR Spectroscopy (MR) and MR Spectroscopic Imaging (MRSI), and many more. It requires that the data be processed automatically and in real time for the modern SMART healthcare diagnostic purpose. In spite of the technological developments in Magnetic Resonance Imaging, clinical applications demand accurate, reliable and real time data processing, for the purpose of making diagnostic decisions. Internet of things (IOT) has made it possible to collect the real time data and there are modern Data Analytics methods which make it possible to derive meaningful conclusions from the medical information that is available. This is then processed for providing medical diagnostic information to the medical expert, in a suitable form. In this thesis, the applicability of AI, ML and DL methods have been proposed to be investigated as applied to MR Imaging to make it suitable for providing SMART Healthcare solutions. Not only obtaining the diagnostic information but also the usability aspects of AI, ML and DL based approaches shall be attempted in this research. MR Imaging data from diagnostic centers or Hospitals, shall be used for this purpose. The results shall be compared with the standards methods in MR imaging and also verified with the experts from medical field.

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 Keywords

Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), SMART Healthcare, Magnetic Resonance Imaging (MRI), Signal and Image Processing

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 Abstract

Parkinson's disease (PD) is a common and disabling pathology that is characterized by both motor and non-motor symptoms and affects millions of people worldwide. The disease significantly affects quality of life of those affected. Many works in literature discuss the effects of the disease. The most promising trends involve sensor devices, which are low cost, low power, unobtrusive, and accurate in the measurements, for monitoring and managing the pathology. Objectives: This review focuses on wearable devices for PD applications and identifies five main fields: early diagnosis, tremor, body motion analysis, motor fluctuations (ON-OFF phases), and home and long-term monitoring. The concept is to obtain an overview of the pathology at each stage of development, from the beginning of the disease to consider early symptoms, during disease progression with analysis of the most common disorders, and including management of the most complicated situations. Parkinson's Disease is a nervous system disorder and is progressive in nature. It affects body movements. Symptoms begin with a hardly noticeable tremor in body parts. The disorder results in stiffness and slowing down of movements. It's a debilitating neurodegenerative disease and cannot be diagnosed through blood tests. Parkinson' s disease mostly affects the people above 60 and is one of the common diseases among war veterans. We use ML algorithm XG BOOST to diagnose Parkinson's Disease with maximum accuracy using a Sensor dataset. Machine learning algorithms XG BOOST help to generate useful content from it. To increase the lifespan of elderly people the machine learning algorithms are used to detect diseases in the early stages

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 Keywords

Internet of Things (IoT), Robot control system, Biometric sensor, Neurodegenerative disorder and Dopamine

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 Abstract

The prevention and solution of plant diseases is a major challenge in agriculture, with traditional methods relying on visual observation and manual recording. However, computer technologies have been increasingly implemented to aid in the prevention and solution of plant diseases. Bioinformatics, machine learning, big data analytics, and imaging technologies are some of the key technologies that have been implemented to achieve these goals. Case studies have shown the benefits of implementing computer technologies in plant pathology, with the potential to revolutionize agricultural production by improving disease management and optimizing crop management practices. As technology continues to advance, the potential for computer technologies in plant pathology will continue to grow, offering new solutions to agricultural challenges. Computer technologies have revolutionized plant pathology by providing researchers with a powerful set of tools for collecting, analyzing, and managing large volumes of data. These technologies enable researchers to study the genetic, molecular, and biochemical mechanisms underlying plant diseases and to develop new strategies for disease management. These technologies have been used to develop models for predicting disease outbreaks, to identify disease-resistant plant varieties, and to develop new chemical and biological control methods. Overall, computer technologies have greatly expanded our understanding of plant diseases and have provided new ways to manage these complex and economically important problems.

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 Keywords

Bioinformatics, machine learning, big data analytics, and imaging technologies, agriculture, plant, diseases

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Currently, the concept of a smart city is implemented through elements such as smart farming, smart emergency services, and smart traffic analysis, among others. A smart city should also have an automated system for smart drainage since the drainage system is one of society's necessities. The sewage system in India is one of the biggest problems. Poor upkeep causes sewage water to periodically mix with drinking water and overflow onto the streets, endangering the health of nearby residents. We suggest the Smart Drainage Monitoring System model to solve this issue. The subsurface drainage system's water level, water flow rate, and gas level will all be monitored by this planned system.The measured values will be evaluated, saved in the cloud, and used to update an app that tracks the health of the drainage system. A notification addressing the problem will be delivered to our mobile when the conditions turn critical (reach threshold values). The goal is to develop a solution utilising cutting-edge IOT technologies to obtain a thorough examination of the data gathered by various IOT sensors

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 Keywords

SMART DRAINAGE MONITORING SYSTEM

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 Abstract

शोध पत्र का सार पंचायती राज व्यवस्था भारत के राष्ट्र निर्माण के गौरव में एक अमिट छाप छोड़ती है। स्थानीय स्वशासन हमारे शक्तियों के विकेंद्रीकरण और पारदर्शिता का परिणाम है। पंचायती राज संस्थानों में ग्राम ब्लाक और जिला स्तर पर परिलक्षित संगठन और उनका बुनियादी इतिहास हमारे सशक्त भारत की नींव है। विभिन्न समितियों ने समय-समय पर इसमें सुधार की रूपरेखा प्रस्तुत की है। पंचायती राज संस्था का विकास उसकी शक्तियां और कार्य और उसमें सुधार की गुंजाइश ओं का एक बेहतर लेख इस शोध पत्र के माध्यम से दिया गया है।

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 Keywords

कुंजी शब्द- स्थानीय स्वशासन, पंचायत समिति, सामाजिक क्रांति, ग्राम पंचायत, विकेंद्रीकरण

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