bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wearable Non-invasive Health Monitoring Device for Elderly using IOT
Authors: Sumathy B , Kavimullai S , Shushmithaa S , Anusha S Sai 
Published: January 2021

Abstract
Patients and old age people suffering from Chronic, systemic diseases like heart diseases, asthma diseases, Alzheimer and dementia, Kidney diseases etc. needs regular health monitoring and extra care during any emergency. During the world of pandemic, those people suffered a lot and needed more attention from expert/specialists. Due to the difficulty in consulting the expert specialists in person, wearable technology plays an important role, which evolved for ease of use and advancements for monitoring patient’s health status. So, a wearable health monitoring system using IOT is proposed to monitor the regular health parameters periodically. The proposed system is a single integrated device consists of sensors for measuring vital physical parameters like pulse rate, respiratory rate, and temperature. Those data and initial predictions are sent via IOT cloud platform and expert opinions are received for further action as remote monitoring. If any critical changes are found, the same has been transmitted to doctor end and closest people of contact. If temperature changes are found below or above the standard value about 97 to 99 F, along with any respiratory difficulties with abnormal values are brought immediately to the notice of the specialist, due to the recent treats in covid. The sensor values are monitored time to time and connected to Arduino with GSM module for alert message. The proposed patient health monitoring system based on IOT helps the doctors and family members to keep track of the patient’s health. The covid pandemic period also made us realize to monitor even normal healthy person, which is the need of the hour. Also, the unit is wearable, small in the form of belt/collar, light weight and cheap. The aim of the study is fulfilled, to prognosticate the possibility of unidentified or untreated health effects and monitor the patient health.
Modelling and Analysis of Shoulder Traction Surgery Kit
Authors: Prabha K Aruna , Swetha S , Morampudi Priyadarsini , Naveen Reddy CH 
Published: January 2021

Abstract
The shoulder traction surgery kit supports and improves efficiency in performing arthroscopic shoulder surgeries. Shoulder Traction Kit provides a convenient method to apply traction and position the patient’s arm for shoulder procedures. It provides a proper vision within the shoulder joint and provides easy access for sub-acromial space. This paper presents a traction based shoulder kit aiding surgeries where the design and outlay requirements are reviewed and collected from research papers and suggestions taken from medics. This project initially deals with a simple design and model of the shoulder traction kit which is reliable and cost effective. A design which is simple to handle and easy to maintain has been the main moto of this project. Initial equipment outlay is modelled using software CATIA V5, SOLID WORKS and analysis is done on ANSYS. The model is simple, with few mechanisms involved and flexible which is easy to use. Based on analysis results and observations it is found that the designed shoulder traction kit can withstand 8 Kg loads with lesser deformations, stress within limits without any failure.
Inverse kinematic analysis of a fixture for fine alignment of central axis of top and bottom frame using simulation
Authors: Aglawe P S , Ohol S S 
Published: January 2021

Abstract
In the field of robotics, the design and development of Stewart Platform is currently the widely discussed topic because of its complexity as well as the usefulness in many fields like military operations, biomedical, Stealth operations, etc. This research work focuses on designing of fixture using rotary actuators and Simulation of Stewart Platform in MATLAB. Fixture consists of controlling of different degrees of freedom of the module, precise linear as well as rotary motion and motor position controller for every degree of freedom and enhanced real time control of each module. Inverse kinematic analysis of a fixture using Sim-mechanics of MATLAB is carried out. This fixture has a unique design considering space constraints and weight constraints. Above research work for automatic alignment of parallel robot with a payload of @5kg can be useful for many applications.
Design, development and analysis of human exoskeleton for enhancing human capabilities
Authors: Vibhute R V , Yeole S S , Waghmare S D , Tonde T A , Ohol S S 
Published: January 2021

Abstract
The study of the exoskeleton is widely recognized as the current challenge for robotic research. The exoskeleton helps us understand the complex gait cycles of the human locomotion. This paper aims to design a lightweight and easy to use powered dynamic exoskeleton with a higher weight carrying capabilities and produce gait cycles which imitate human locomotion. In this paper, we have proposed some novel mechanisms to overcome the limitations of heavy load-carrying capacities of the soldiers and also help with gait rehabilitation of patients with spinal cord injury, stroke, or neurological disorder. The exoskeleton is divided into the upper body and the lower body. The upper arm and the forearm are actuated by DC Geared motors and thus the upper limb can trace any path in the parasagittal plane. The thigh and calf segments are actuated by DC Geared motors to mimic the human gait cycle. The torques required to achieve this motion are discussed here.
Emulation of Multi-Rotor Functionalities in Fixed Wing Airplane for Farm Based Land Surveillance with Controlled Fluid Dispersion System
Authors: Neelakandan Aagashram , Chellakrishna V , Ajay Antuvan M , Avinash M , Ranjith Kumar R 
Published: January 2021

Abstract
The World is emerging with Technologies in every discipline, and India plays a vital role in the export of agricultural products. Since it has a huge amount of manifestation, it requires a lot of manpower. The Lack of skilled labour can also cause depletion of crops production rate. So the use of Technologies in agriculture reduces manpower drastically and increases efficiency. The production rate of crops in agriculture is based on various parameters like temperature, humidity, rain, etc., which are natural factors and are not controlled by farmers. The field of agriculture also depends on some factors like pests, disease, fertilizers, etc., which can be controlled by giving proper treatment to crops. Even though the use of pesticides can protect the crop, it may also have harmful effects on human health. So usage of technologies like quadcopter is an efficient process. But as it involves a huge amount of Initial and Operational cost, the quadcopters are replaced with Fixed Wing Drones. This paper depicts about the design and development of Fixed Wing Airplane known as AGRIWING, which combines all the desirable features of a conventional agricultural fixed wing such as mapping of farm, gathering heat signatures, etc., with the added capabilities of the autonomous fluid dispensing system, as in the Drone Spraying System with the advantages of Fixed Wing Airplane including reduced cost, improved flight time, robustness and more.
Aerodynamic Analysis of Hybrid Drone
Authors: Krishnaraj S , Senthil Kumar R , Gokula Krishnan A , Ganeshkumar G , Mohan M , Nirmal M 
Published: January 2021

Abstract
Drones are Unmanned Aerial Vehicles (UAV’s) or Remotely Piloted Vehicles (RPV’s) whose application ranges from photography to defence. There are two major classifications of drone, one, a fixed wing; and another, a quadcopter. A hybrid drone is a kind of drone which has a mix of features of the two kinds of drone. It has quad-rotors for Vertical Take-Off Landing (VTOL), and a fixed wing for cruise. Aerodynamic analysis for a hybrid drone is done using Computational Fluid Dynamics (CFD) as a tool. A virtual wind tunnel test is done by means of this analysis. It is done in order to examine the various technical edges of the hybrid drone over the rest of the types. Firstly, the main entity of the drone, the wing, of 3 different profiles(aero-foils), is analysed for better lift coefficient as it is the major contributor for the thrust during cruise (for 0 deg angle of attack). The velocity contours are viewed to interpret the aerodynamic advantage of each wing. Then the whole vehicle is analysed after inculcating the wing. The various aerodynamic parameters such as the lift force, lift coefficient, drag force and drag coefficient of the hybrid drone are determined from the analysis. A hybrid drone with optimum lift has been designed from the inference.
Design and Analysis of Coaxial Ducted Propulsion Systems of Unmanned Aerial Vehicles
Authors: Omkar Billa L R , Arockia Doss Arockia Selvakumar , Christo Michael T. 
Published: January 2021

Abstract
Drone Technology is one of the major areas of research in numerous aspects and purposes. Less flight time and more power consumption has become the major problem in flying drones and UAVs. This project aims in analysing the thrust and other parameters of Coaxial propellers by ducting them uniquely and comparing them with conventionally ducted propellers. Ducting increases the thrust and in this, two propellers were individually ducted. Increase in the efficiency will allow the drones to fly effectively with adequate power consumption. The experiment results were tabulated and compared with each different case such as hover and forward flight configurations. In this Coaxial system one propeller rotates in Clockwise whereas the other in Counter-clockwise direction.
Autonomous Snake Robot with Serpentine type Navigation
Authors: Bangar M G , Nirgude H S , Ghodake S P , Ohol S S 
Published: January 2021

Abstract
Biological snakes can easily maneuver through complex and undulating terrains which gives the motivation to create a bio mimic robotic snake which can easily slither through narrow spaces and uneven surfaces unlike the wheeled or legged mechanisms that have terrain limitations for its maneuverability. Such robots can be used in rescue operations in earthquake areas where it can easily crawl, surveillance and maintenance of complex or dangerous structures like pipelines in nuclear power plants. In this paper we discuss the development of autonomous snake robot with serpentine type navigation. The paper discusses in detail about the design of the robot, mathematical modelling, and motion study in virtual environment using MATLAB. The paper also discusses the controlling of the robot using Arduino Nano. The aim of the project is to develop a bio mimic snake which can maneuver over any terrains.
Fault Detection in aerial images of photovoltaic modules based on Deep learning
Authors: Naveen Venkatesh S. , Sugumaran V. 
Published: January 2021

Abstract
Operation and maintenance of photovoltaic (PV) modules are currently the prime concerns of the expanding photovoltaic industry. Unmanned aerial vehicles (UAVs) are applied in the field of inspection and monitoring of faults that occur in a photovoltaic module (PVM). Such inspections can significantly reduce time and human interference to provide accurate classification results. Technological advancements and innovative techniques in the fast moving world expect instantaneous results. Fault diagnosis is one such technique that provides instantaneous results and assures enhanced lifetime of various critical components. This paper presents the fault detection in PVM based on deep learning with the help of aerial images acquired from UAVs. Convolutional neural networks (CNN) are adopted to extract high level features from the images which are classified using the softmax activation function. The feature extraction and fault classification is carried out by using a pre-trained VGG16 network. A total of six test conditions are considered in the study. Burn marks, delamination, discoloration, glass breakage, good panel and snail trail are the several test conditions considered. The classification result for the pre-trained CNN model is exhibited and performance of the model is evaluated.
Efficient multi-level lung cancer prediction model using support vector machine classifier
Authors: Manju B R , Athira V , Rajendran Athul 
Published: January 2021

Abstract
This paper aims at the requirement for an interactive learning framework which empowers the successful checking of disorder in a patient. Principal component analysis stands out as an outstanding algorithm to significantly classify the target classes. PCA blends associated characteristics and makes a dissipated showcase of its components well. Scree plot examination gives solidarity of how many principal components are to be retained. Support Vector Machines (SVM ) is a fast and dependable classification algorithm that outperforms other techniques with a limited amount of data. The obtained components will be served to Support Vector Machine for further classification. The pre-dangerous stage will remind the clinical experts to give additional consideration to those patients. The expectation ability is estimated in terms of the confusion matrix. The model developed gives a high and uncompromising accuracy in early detection of different levels of malignancy
Effect of Vibration on Surface Roughness of Drilling on Glass Fiber Reinforced Plastic
Authors: Sureshkumar M S , Krishna Prasath S , Lokeshkumar C , Loheshwaranath S 
Published: January 2021

Abstract
In present scenario, Glass Fiber Reinforced Plastics (GFRP) has found to be highly influential in the field of manufacture of automotive and aerospace parts due to its high strength and lightweight characteristics. Processed GFRP components are assembled to the main structure by means of mainly rivets and fasteners. So, drilling in a GFRP material becomes inevitable in manufacturing for its wide applications. The purpose of this experiment is to conduct a study of the effect of vibration on surface roughness while drilling a GFRP plate using a 10mm HSS drill. The experiment has been implemented by varying the drill speed and feed accordingly in a 10mm thick GFRP plate and the respective vibration and surface roughness results were obtained. Furthermore, the results obtained have been processed in Minitab to provide a comprehensive understanding. ANOVA has been performed to establish a relation between the vibrations developed and surface roughness of the hole.
Python implementation of fuzzy logic for artificial intelligence modelling and analysis of important parameters in drilling of hybrid fiber composite (HFC)
Authors: Samsingh Vimal , Ramachandran Achyuth , Selvam Anirudh , Subramanian Karthick 
Published: January 2021

Abstract
Composite materials present the advantage of being able to be specially designed for a particular application by combining appropriate reinforcement materials with a matrix material suited to withstand the operant conditions. The use of Hybrid-Fiber Composites (HFCs) addresses the need for greener manufacturing processes while also meeting product specifications in a wide range of applications, all for nominal prices. In order to improve our understanding of the machining processes compatible with HFCs, this paper presents findings from a study in which the effects of drilling on glass-flax-hemp fibre hybrid composite samples are observed and modeled. Pivotal parameters in drilling, namely drill bit diameter, spindle speed and feed rate are studied, and a fuzzy-logic inference system (FIS) coded in Python is used to model the thrust force and torque acting on the composite sample. A comparison between experimentally obtained and model-generated values of the same indicate very good correlation, thus verifying the effectiveness of the FIS.
A Focus-Measurement Based 3D Surface Reconstruction System for Dimensional Metrology
Authors: Vignesh S.M. , Senthilnathan R. 
Published: January 2021

Abstract
Image focus is an important parameter which depends on various other parameters of an imaging system. One among them is the distance of the object plane from the lens. This parameter is referred as the depth in computer vision literatures. Since depth affects the focus level of pixels in an image, focus measurement can be used to interpret the depth of points of an object. The paper presents the details of the novel indigenously developed automated measurement system which can perform high-precision movements based on feedback control. The measurement system is inspired by classical systems used in techniques such as shape from focus. This system fundamentally being a mechatronics system integrates a high-precision multi-stage translation mechanism which is actuated with a servo motor with sensors such as camera, linear encoder, optical limit switches. The hardware interface is developed for automated measurement through a USB data acquisition system. The paper presents the methodology of surface reconstruction and detailed description of the various challenges encountered in the integration. The surface reconstruction is performed for various millimetres and sub millimetres level engineered specimens. The paper presents the future direction of research and also various potential application possibilities for such measurement setup.
Garbage Waste Segregation Using Deep Learning Techniques
Authors: Sai Susanth G , Jenila Livingston L M , Agnel Livingston L G X 
Published: January 2021

Abstract
Waste segregation is one of the primary challenges to recycling systems in major cities in our country. In India, 62 million tons of garbage is generated annually. Of this 5.6 million tons of wastes consist of plastic materials. About 60 percent of this is recycled every year. In addition, 11.9 million tons are recycled from 43 million tons of solid waste produced. Though the numbers sound good, a serious problem in the recycling industry is the segregation of waste before recycling or any other waste treatment processes. In India, at present situation waste is not segregated when collected from households. So a lot of workforce and effort are needed to separate this waste. In addition to this people working in this industry are prone to various infections caused due to toxic materials present in the waste. So the idea is to decrease the human intervention and make this waste segregation process more productive. The proposed work is aimed to build an image classifier that identifies the object and detects the type of waste material using Convolutional Neural Network. In this work, four different models of the CNN, such as ResNet50, DenseNet169, VGG16, and AlexNet, trained on ImageNet, are used to extract features from images and feed them into a classifier to make predictions and distinguish a type of waste from its corresponding category. The experimental results showed that the performance of DenseNet169 was significantly greater than all four models and the performance of ResNet50 is closer to DenseNet169.
Design of Portable Air Purge Level Transmitter with Built-in Calibration Feature
Authors: Joshi A. K. , Upadhye V. M. , Madhe S. P. 
Published: January 2021

Abstract
In almost all the process industries level is the prominent process parameter which is being monitored and controlled. For level measurement a wide variety of level sensors are available. For level measurement of chemically corrosive liquids or liquids containing suspended solids, specific sensors are used. In such applications, the direct contact of sensor with the fluid is avoided. Air purge or bubbler pipe is the most suitable level measurement method in such cases. In this method, compressed air is forced through the bubbler pipe which is placed in the level measurement tank. This compressed air/gas emerges from the other end of the tube in the form of bubbles. The pressure in the pipe is equal to the head pressure created by the height of liquid column in the tank. The conventional air purge level measurement method has limitations like lack of portability and non-electrical output. This also consumes more power, lacks in scheduled measurement and requires recalibration for the changes in the range. To overcome these limitations a novel portable programmable air purge level transmitter is designed in this paper. The designed system consists of an on board compressor to improve the portability. The electrical output is obtained using MEMS pressure sensor which is mounted on the top of the bubbler pipe. The electrical signal given by the MEMS pressure sensor is converted to standard output using Microcontroller and Signal Conditioning Unit. The system is made programmable using keyboard and display interface to microcontroller. Due to this recalibration and scheduled measurement is possible and this results in reduced power consumption.
Low Powered Self-Testable ALU
Authors: Nagharjun M. , Ravi V. 
Published: January 2021

Abstract
The Arithmetic and Logic Unit(ALU) is a Significant Segment of a CPU as it does all the arithmetic and logical operations and computations required by all the processes running inside the CPU. Being such an important part inside the processor, It requires more power and thus it would be efficient and feasible if it can run on low power and also can test for any faults in the circuit itself. This paper completely focuses on building a Low Powered ALU with the implementation of Built-In Self-Test(BIST) mechanism for efficient arithmetic and logical operations. In the design, power-efficient circuits such as Wallace Tree Multiplier and Carry Look-Ahead Adder is being used. The created design is synthesized and simulated on the Xilinx Vivado software tool and implemented on Digilent Xilinx Basys 3 Artix-7 (XC7A35T-1CPG236C) Field Programmable Gate Array (FPGA). The overall power consumption of the design is 75mW and the ALU has self-testability function.
Automated System for Lavatory Disinfection
Authors: Joseph Sneha , Thaikattil Paul A , Suresh T. , Seethalakshmi E 
Published: January 2021

Abstract
Instead of that conventional method of chemical (sanitizer spray) disinfection, this paper introduces a novel idea to fight the attack of microbes causing infections and diseases from the source like lavatory and specially its seat. Here we utilize the germicidal power of ultra violet light ray’s. i.e. Ultra Violet C range of the light spectrum against the viruses (SARS-CoV-2), bacteria (E. coli) and other microbes. This system of disinfection constitutes the UV LEDs placed on the arm above the toilet seat. The range of wavelength is from 200nm to 280nm. Implementation of this technique ensures safety, by human free room with the automatic motion control using Arduino, motor and door locking gadgets. UVC light is very advantageous over other methods as it is eco-friendly, chemical free, non-corrosive, and no hazardous waste is produced and also inactivates viruses by attacking the DNA strands in the microbes ensuring that the replication does not happen further stops spreading of contagious diseases leading to pandemic. Usage of toilet paper and other methods used conventionally could come to an end. Thus an effective idea is derived for the hygiene establishment.
Hybrid Microgrid: Energy Management under Different Loading Condition using Typhoon HIL’s Real-time Digital Simulator
Authors: Verma Ruchi , Verma Hemant Kumar , Verma Priyanka 
Published: January 2021

Abstract
This paper presents real time simulation of hybrid microgrid consist AC microgrid along with DC microgrid and utility grid, where developed Hill Climbing algorithm for even power transfer between AC microgrid plus DC microgrid ensuring stable and reliable system operation under different loading conditions. Also generalized function generated to deal with the power flow from utility grid to AC microgrid and DC microgrid. Typhoon HIL control centre used for the accomplishment of hybrid micro grid. The proposed system is developed in the Schematic Editor. Hybrid microgrids are simulated using the real-time emulator HIL402 for real-time simulation within the SCADA environment.