bluuebunny/crossref_metadata_2025_split huggingface dataset:
The growth curve of Gompertz and Logistic models in body weight of Ecotype Fulani Chickens (Gallus domesticus)
Authors: Ridho M , Putra W P B , Sola-Ojo F E 
Published: January 2021

Abstract
This research aimed to estimate the growth curve of body weight in Ecotype Fulani (EF) chickens. Two growth curves of Logistic (L)and Gompertz (G) models were performed in this study. 211 birds were used in this study for growth curve analysis. Research showed that the coefficient of determination (R2) in both curves were similar (0.99). Hence, the standard error in G model was lower than L model in each sex group. The bird’s adult weight were 1575.96 g (male) or 1411.69 g (female) in L model and 2386.63 g (male) or 2250.30 g (female) in G model. The bird’s inflection weight was 787.98 g (male) or 705.85 g (female) in L model and 877.44 g (male) or 827.32 g (female) in G model. The bird’s inflection time were 13.58 week (male) or 15.58 week (female) L model and 18.57 week (male) or 13.89 week (female) in G model. The bird’s maximum growth rate were 78.80 g/wk (male) or 63.53 g/wk (female) in L model and 61.42 g/wk (male) or 74.46 g/wk (female) in G mode. It was concluded that the growth curve of G model was accurate to predict the body weight of EF chickens from hatching to adult age.
Remote Controlled Pick and Place Robot
Authors: Prabhakar Meenakshi , Paulraj Valenteena , Karthi Kannappan Dhusyant Arumukam , Dhanraj Joshuva Arockia , Ganapathy Deenadayalan 
Published: January 2021

Abstract
In today’s world sales and demand for products has grown exponentially. There is always a need of the products in a huge count in terms of production, handling of such a huge count of products is not possible without automation process but the instruments used of such automation process is of high cost which is not feasible for the small scale industries to implement such a high-cost machine for their use cases. To overcome the above problem of handling the products, a low-cost pick and place robot has been designed for handling the products, this robot is designed based on RRT:R configuration for the robot body, with this configuration this robot can handle products in complex positions. This robot is featured with the six DOF (degrees of freedom) for its movement. This robot is a tele-operated robot that can be controlled using a specialized mobile application developed using MIT APP INVENTOR 2 which makes the user use this robot without any special support for controlling, this robot gives a hassle-free experience for the user who is controlling the robot. By using this robot pick and place tasks can be simplified and the process can be automated and the rate of product handling can be increased.
Simulation of Grasp Localization Inferences for a Dual-Arm Collaborative Robot
Authors: Josin Hippolitus A , Senthilnathan R. , Malla Omar 
Published: January 2021

Abstract
Grasp Localization is an important problem in robotic manipulators which fundamentally aims at estimating a pose for the end effector which ensures that the object intended to be grasped does not slip off. This estimation is achieved through exteroceptive sensors used in robots such as vision systems which through features and learning-based approaches. One of the fundamental means to validate such an approach is by simulating the grasp routine for any given geometry and its probable grasp poses. This paper presents the details of a simulation work involving a dual-arm collaborative robot with each arm consisting of seven degrees of freedom. The dual-arm robot performs a grasp routine for a geometry that is imported from CAD software. To perform the simulation the various attributes of the robot are to be observed since the simulated robot is a mimic of a commercially available one.
Robust Design of Smart Lawn Cutter for Gardening Companion
Authors: Balaji A , Shanthini E R , Rooshan M J , Sivaram V 
Published: January 2021

Abstract
This work discussed the fabricated model of android based grass cutter in agricultural field by implementing the new innovative concept with simpler construction and easy working. The cutting motor is employed to cut the grass in the field and the same is controlled by smartphone application. The components that are used to control the grass cutting level involve motor and gear arrangement. Below the gear arrangement, the cutting blade is fixed. And this arrangement will be simple and highly efficient for grass height adjustment system with up/down process motor. DC motor up and down motion is made using the rack and pinion gear setup. And then grass cutting motor on off control system will be achieved through android application. This application is connected to the Bluetooth communication for automatic the process. This work is motivated on preparation of the beneficial power basis for grass cutting process which is not reliant on the climates state and also prompt on its work. This setup is completely controlled using smart phone. In future, the automation of the device will play the most important role in world wide. In the meantime, technologies are merging with environmental awareness, consumers are looking for ways to contribute to the relief of their own carbon footprints.
Hydrodynamic Modeling and Design of Robotic Fish using Slender Body Theory
Authors: Duraisamy Palmani , Santhanakrishnan Manigandan Nagarajan 
Published: January 2021

Abstract
Design of bio-inspired robotic fish has been an important area of research for applications such as water quality monitoring, aquatic animal behavioral study and underwater exploration. The modeling of robotic fish requires high dimensional analysis, which increases the design complexity. To address this complexity, approximate models are preferred and frequently used in the design of robotic fishes. The accuracy of these models mainly relies on various hydrodynamic parameter identification of which drag coefficient estimation is highly challenging. This paper utilizes a simple deceleration motion model to estimate the drag coefficient effectively so that the linearization error is reduced. The non-linearity in the deceleration model is simplified and mapped as a linear model to predict the drag coefficient. The estimated drag coefficient is used for dynamic modeling of robotic fish using slender body theory. The dynamic model is validated through experimental setup using accelerometer and visual sensor data. The maximum swimming speed of 0.32 ms-1 is achieved at 1.2 Hz caudal fin oscillations.
Line following robots on factory floors: Significance and Simulation study using CoppeliaSim
Authors: Oswal Saharsh , Saravanakumar D 
Published: January 2021

Abstract
Line following robots has been around for many years now. Research and development of these robots have been keenly studied and examined for many industrial applications. Line following robots can provide maximum effectiveness to in-house transportation of jobs inside a factory, which is traditionally done by forklifts and different types of cranes. These traditional methods are high maintenance and extremely unsafe for the employees. This paper presents the design, assembly and dynamic simulation of a line following robot integrated with a proximity sensor for collision avoidance and vision sensors for line tracking. The model is designed using Autodesk Inventor 2018 and the assembly and simulation is carried out using CoppeliaSim software. This simulation study intends to provide significance of the implementation of such robots on a factory floor, which can cover a path of distance 10 meters in approximately 8 seconds.
Design and Development of an Autonomous Quadruped Robot
Authors: Sandeep B , Tamil Selvan P 
Published: January 2021

Abstract
This research paper contains the work done on the ‘Design and development of an Autonomous quadruped robot’ – a system engineered to complete tasks like carrying weaponry and materials for military applications. The primary aim of the project was to design a quadruped that works successfully in harsh conditions and irregular terrain were human intervention is impossible or hard. Initially, individual components of the design were designed and modifications were made according to the requirements. The development was carried out in five major steps including frame assignment, DH parameter analysis, Kinematic and dynamic analysis, Multibody simulation, Stability analysis and execution of gaits. The average time taken for the device to complete on cycle was found to be 10 seconds in crawl gait and around 8 seconds in trot gait. Further tests on the final device also directed a consistent results in its functionality and time taken for the quadruped to complete one gait cycle.
As such, the performance of the quadruped is found to be successful and also open to further modification for better performance and varied usage requirements since the research on autonomous quadruped is at its early stages of development.
Optimization of quadcopter frame using generative design and comparison with DJI F450 drone frame
Authors: Bright Jerrin , Suryaprakash R , Akash S , Giridharan A 
Published: January 2021

AbstractThis research accentuates to explore designing the drone frame using Generative design tools. A quadcopter is designed using Autodesk generative design embedded in Fusion 360. The simulation results such as static stress-strain, modal frequency and displacement results of additive manufactured quadcopter are compared with a DJI flame wheel F450 drone frame. The generative designed frame has minimum displacement compared to traditional designed drone frame. It is observed that generative designing technique along with additive manufactured frames yields better frames with improved resistance to fracture and minimum displacement compared to traditional designed DJI flame wheel F450 drone frame.
Design of Dual Copter for Surveillance Applications
Authors: Balaji A , Mithil J , Jason Gousanal J 
Published: January 2021

Abstract
In this paper, an innovative design model of autonomous aerial vehicle is designed and fabricated with dual rotor setup. Nowadays, innovative unmanned aerial vehicles (UAVs) are widely required for surveillance, monitoring, data collection, reconnaissance and generally in places where humans face hazardous. In this model and design of UAVs, aero dynamic principles are adopted through reasonable design considerations and assumptions. Most of the researchers and academicians are currently pursuing research on AVs with various structures, wing designs, fabrication methods, controllers and materials to increase the efficeincy as well as for various applications. In this proposed work, an effort is made to design and fabricate the dual copter with wide moving ranges for surveillance applications in military intelligence system. This proposed design will be suited for all environmental conditions to collect the data as well as monitoring the system. Dual copter chassis are fabricated using 3D printer after the validation and analysis the proposed design using Solidworks CAD tool. The chassis are fabricated with the provision of space where the required sensors, actuators and controllers can be assembled. Lithium polymer batteries are employed to achieve the better performance for copter. The fabricated setup is integrated with radio frequency controller to achieve the flight control through RF transmitter. Hence the performance of the fabricated device is validated and analyzed through various performance measures of dual copter.
Modelling and Simulation of Autonomous Indoor Robotic Wastebin in Webots for Waste Management in Smart Buildings
Authors: Mohan Manju , Kuppan Chetty RM , Mohammed Azeem K. , Vishal P. , Poornasai B. , Sriram Vijayram 
Published: January 2021

Abstract
Waste bins are being used in an indoor environment by every common man for over many decades. Proper disposal of the waste and the waste collection system in an indoor environment is an important aspect of the cleanliness of the environment, the outlook of the environment, and as well as considering the health aspects of the people. An improper waste collection system in an indoor environment leads to a foul smell and unhygienic condition, thus inherently results in environmental pollution. Another crucial challenge is devising a safe navigation methodology for the smart waste bin in the indoor environment and efficiently model and simulate its performance. Therefore, in this paper, Mobile Smart Waste Bin with a smart waste collection system is proposed using the technical advancements in robotic technology with the navigation techniques. A simple line following navigation technique is employed in such a way that, when the waste bin gets filled with trash, the corresponding bin autonomously moves to the common collection point. This is done to analyse the integration of the physical and intrinsic characteristics of the system through simulation studies and the results are reported. The performance of the proposed indoor robotic dustbin bin is modelled with the underlying physics as well as the environment in webots virtual simulator. The effectiveness of the system is analysed through simulation studies in webots simulator and the results are visualized and reported. Thus, the designed mobile smart bin and proposed waste collection system will be a better autonomous solution compared to existing ones in the indoor environment of Smart Buildings.
Hexacopter design for carrying payload for warehouse applications
Authors: Aswath M. , Jeevak Raj S. 
Published: January 2021

Abstract
Airborne vehicles are gaining traction in research fields and in bringing it for commercial use. Multi-rotors for payload transport is one of the highly researched topics. In this paper, a hexacopter was prototyped based on commercially available components in the market and dynamic analysis was performed with constraints derived from ideal conditions, such as neglecting the effect of air resistance. The experiment shows the flight of the hexacopter to be stable with and without payload attached to it. Also, various computer vision methods were explored to detect and identify waypoints, in the form of gates, for the hexacopter to follow during its flight mission. The detection mechanism employed is HSV mask based filtering on input image and performing moment calculation on the extracted contour to determine the center of the gates. Localization of the drone with respect to the environment is performed with a monocular visual SLAM method known as ORBSLAM2.
Health monitoring of automotive clutch system by using Bayes algorithms
Authors: Chakrapani Ganjikunta , Sugumaran V 
Published: January 2021

Abstract
Clutch is an essential component in an automotive transmission system that helps in power transmission from the engine to the gearbox. Continuous operation of the clutch leads to degradation, damage, and reduced lifetime of internal components. Such factors can provoke the occurrence of various faults, which left unmonitored will result in clutch damage and seizure. Hence, continuous monitoring of the clutch is necessary to minimize unwanted breakdowns. This paper presents a condition monitoring technique based on vibration analysis to monitor the fault occurrence of different components. A machine learning approach is carried out to classify various faults. Such as fingers worn, pressure plate broken, pressure plate worn, friction material loss, and tangential strip bent. Feature extraction is performed on the acquired vibration signals using statistical learning process. The most important and significant features are selected from the extracted features by J48 decision tree algorithms. Further, feature classification is done with the help of Bayes based classifiers and the obtained results are compared to predict the best in class classifier for real-time.
A Bayes learning approach for monitoring the condition of suspension system using vibration signals
Authors: Arun Balaji P , Sugumaran V 
Published: January 2021

Abstract
The suspension system is an important component in an automobile, aimed to provide better comfort and good road handling characteristics during vehicle motion on uneven road conditions. Varying load conditions, prolonged operations, continuous road shocks absorption, and time-based degradation of internal components can create faults in a suspension system. Fault occurrences in the suspension system can damage the internal components that lead to malfunctioning of the system causes failure and endanger vehicle safety. Thus, condition monitoring has become an essential part of identifying fault occurrences in a suspension system. This paper is focussed on condition monitoring of suspension system using vibration signal analysis and faults are classified with the help of machine learning-based Bayesian classifiers. A test setup is fabricated to simulate the working of the suspension system under different load conditions with one good and six faulty conditions. Vibration signals are recorded and used to extract statistical features. Further J48 decision tree algorithm was utilized to identify the most significant features during feature selection process. Bayes classifiers such as NaiveBayes and BayesNet classifiers were used to find the type of fault occurrence from the selected features. The overall results of the aforementioned classifiers are compared and the best in the Bayesian classifier is suggested for real-time application.
Adapted wavelets by parameterization of wavelet bases for estimates of feature extraction of signals
Authors: Manju B R , Rajendran Athul 
Published: January 2021

Abstract
The work demonstrates the parameterization of filters coefficients of compactly supported wavelet to implement in the design of the best wavelet selection. The technique determines the best wavelet by means of a mathematical description and gives a representation in a single parameter for wavelets of finite length. The approach takes an input wavelet that is approximated to the best match. Through a choice of the parameter to adapt to the wavelet coefficients the perfect adaptation of the wavelet is achieved. For wavelet selection, the adaptive approximation carried out through parametrization addresses the challenge of visualization by setting up a Matlab programme that relies on the best selection with high potential to feature extraction of arbitrary signals.
Evolution in E-Commerce with Augmented Reality
Authors: Garg Navneet , Pareek Ankita , Lale Ajinkya , Jagannath Charya S K 
Published: January 2021

Abstract
New shopping methods with various attributes compared with traditional internet shopping can improve the administrations of business websites or E-commerce system. This paper is a dense abstract of the broadest parts of elective innovation dependent on AR collaborations that avoids the utilization of physical interaction with the product. The utilization of internet shopping has been developing significantly over some time. Augmented reality (AR) may assume the most significant job in improving the method of web-based shopping. The advancement of new AR innovation can be made valuable if it can imitate the highlights that have made web-based shopping the most favorable shopping source in present times. AR is equipped for working in a gadget utilizing Google’s AR Core or Apple’s AR Kit SDKs. It is a straightforward technique to create the 3D model before an individual that can be effectively equivalent which results in a better impression of the item by recreating in reality. 3D models are being delivered utilizing a game motor with AR SDKs in the client gadget which is controlled through a lot of projects written in an IDE. The execution of AR shopping is changing internet business by helping the web retailers to decrease the developing expense of profits and furnishing their clients with all the more captivating and advantageous approach to shop through their gadgets. Imaginative AR arrangements permit clients to envision their item continuously, from the comfort of their place. And it may play a major role in the industrial revolution with a specialization area.
Vehicle Accident Emergency Alert System
Authors: Sumathy B , Sundari L , Priyadharshini S Janani , Jayavarshini G 
Published: January 2021

Abstract
Today’s world is moving in such a speed that no person can spare a minute to stop and look what is happening. The rapid increase in population has inevitably increased the number of vehicles on road and more road accidents with life-loss. The report from World Health Organization (WHO) revealed that approximately 1.35 million people are losing their life each year, because of road accidents. The major reason for accidents is due to drunken driving, distracted driving, over speeding etc. Also, nearly 55% of the life-loss in the highways occurs due to the negligence of accident report of the passer-by vehicles especially during the night or in deserted places remain unnoticed till dawn. A person surviving from the accident, tends to lose their life due to lack of immediate medical response. A Vehicle Accident Emergency Alert system is proposed for immediate attention which could save their life. As soon an accident occurs the vibration sensor or the accelerometer present in the system, transmits the signals to Arduino controller. Latitudes and longitudes data are collected from the GPS system, passed using the GSM module to the emergency centre, and sends a text message to all the people listed in the emergency List. Getting the exact location would help the ambulance to reach the spot with shortest route and time. The proposed alert system could be implemented with less cost and incorporated in all vehicles in near future so that the rate of life-loss could be minimized.
A Low-Cost Portable Handheld System for Monitoring and Verification of Vehicle Documents
Authors: Vinod Vibin Mammen , Murugesan Govindasamy , Mekala V , Deepa D , Abinaya S , Bairavi K 
Published: January 2021

Abstract
The 2013 World Traffic Safety Status Report from WHO reports that more than 231000 people in India are killed annually in road accidents. Our research seeks to develop a system/portal from which we can track a person’s driving characteristics, such as traffic violation records, license details, insurance data, etc. Whenever residents refuse to comply with laws, a finger print scanner can help the police quickly access their records. Payment of penalty is initiated from his/her account immediately through a secured gateway. A two-level authentication and security scheme are employed such that the citizen would not have to compromise with their credentials. Whenever a citizen is caught breaking a law, the person’s biometric scan is carried out to open his e-License account with OTP which is available as an application. Account provides name, age, location, photo, information of license valid or not and amount has to be debited from bank account. This application can be easily used by police officers to avoid the citizens from breaking the rules. The proposed design is compact and portable and has been tested with a minimal dataset of 79 persons and found to provide satisfying results.