bluuebunny/crossref_metadata_2025_split huggingface dataset:
Waste Products as an Alternative Construction Material-A Review
Authors: Anne Mary J , Gobinath R , Shyamala G , Rajesh Chary K 
Published: December 2020

Abstract
The world’s economy is based on the infrastructure of the country. Ancient history shows that old construction works are done with surki and lime but not with sand. Sand is used only after introduction of cement in construction industry. Worldwide sand is used as fine aggregate in concrete and average of 40 billion tones of natural sand is used annually. This large amount of consumption reduced the water table amount and destroys the flora and fauna of the biodiversity. So alternative construction materials identification for natural sand plays a major role for civil engineers in construction industry for sustainable environment. The main objective of this study is to find the optimum percentage of replacement with waste products to alter the fine aggregate.
Influence of Various Admixtures on The Swelling Characteristics of Clay
Authors: Logeshwari J , Gobinath R , Srihari  , kumaraswamy Eelandula 
Published: December 2020

Abstract
Expansive soils generally occur in arid and semi-arid regions of the world. It causes serious problems to the civil engineering structureslike, buildings and other structures, roads, pipelines, bridges, etc. Such soils swell, when given an access to water and shrink when they dry out. Several attempts were made by researchers to control the swell-shrink behaviour of these soils. The Swelling potential of the expansive soil mainly depends on the soilproperty, environmental factors and stress conditions. In this work, a detailed study on shrink-swell behaviour of expansive soil, and ways to control it by stabilizing with different proportions of the admixtures was made. In this paper, admixtures such as M-sand, fly-ash, river sand, beach sand and copper slag were used. They were used in different proportions of 2%, 5%, 10%, 12% and 15%. From the free swell index, it can be concluded that 10% copper slag effectively reduces swellcompared to the other admixtures.
Self-Curing Concrete Using Water-Soluble Polymerfor Developing Countries
Authors: Udayabanu T , Rajamane N P , Makendran C , Gobinath R , Chandra Chary S 
Published: December 2020

Abstract
In a developing country construction of residential and commercial buildings including roads construction plays a vital roleof economic development and usage of various construction materials, such as cement, sands, and water are quite common. Water is an important resource for preparing and curing of concrete. In present situation, water resource is very constraint around the world and construction industry need the alternate solution to manage this water crisis. Using of alternative materials reduces the construction costs directly. In this regard, proposed to introduce the chemical of Polyethylene Glycol PEG400 for self-curing of concrete. This study deals with the investigation on self-curing concrete with added % of PEG400 by weight of cement from 0% to 1.5% as the quantity for self-curingcomponent. Test results were investigated and compared with conventional and self-curedconcreteon compressive, flexural and split tensile strength for M20 grade mix. The result found that PEG 400 provides good results of self-curing concrete.
Analysis of Compressive Strength Characteristics of Mineral Admixture in Concrete Containing Various Gelled Materials using Artificial Neural Networks
Authors: Shyamala G , Gobinath R , Sarla Pushpalatha , Shewale Manisha 
Published: December 2020

Abstract
The growing population of the world demands the massive concrete production, which resonances the environmental impact by consuming a large number of natural resources. To reduce the let-downs occurring in the concrete, estimation of Strength of concrete is needed. The ratio and combination of mineral admixtures will find out the strength parameters of concrete such as tensile strength and compressive strength of the concrete revealed the Bayesian Regularized and Levenberg-Marquardt approach in Artificial Neural Networks. The comparison of these two ANN models for estimating the compressive and tensile strength of massive concrete is performed to show a novel approach. The Levenberg-Marquardt algorithm furnished the more accurate results among the two algorithms also the estimated values are very nearer to the predicted data.
IoT based saline level monitoring system
Authors: Sunil G. , Aluvala Srinivas , Ranadheer Reddy G. , Sreeharika Vedantham , Sindhu Parupally , Keerthana Sriramula 
Published: December 2020

Abstract
In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observation of nurses is mandatory in monitoring the level of the saline. There are many cases where patients are being harmed due to the staff inattentiveness, as their absence does not notice the completion of saline level in the container. This arise the problem of back flow of blood immediately after the completion of saline in container. Hence to protect the patient from getting harmed an IoT based saline level monitoring system has been developed. The proposed model incorporates a sensor which continuously detects the saline drops. Whenever the sensor does not detect the drops for a certain interval it alerts the staff of the hospital with the buzzer, helping to monitor the safety of the patients.
Cost function for delay (CFD) in software defined network with fog computing and associated IoT application
Authors: Mohmmad Sallauddin , Dadi Ramesh , Pasha Syed Nawaz , Mendu Mruthyunjaya , Harshavardhan A , Shabana  
Published: December 2020

Abstract
Fog Computing become an emerging technology and majorly adapted to IoT networks. In the IoT network Fog nodes interact directly with edge devices and create easy communication with reliable data transmission to store in cloud data centers. In this paper we proposed a Cost Function for Delay(CFD) in transmission of data from end devices to cloud data centers by passing through fog devices and other network devices in a multi hop based network. The total data transmission time included with many parameters including delay which occupies small amount of time in total data transmission time. The CFD evaluated for every local device on reach by each hop and at fog device where task offload dynamically. In our proposal we considered the greedy heuristic based approach to derive the solution effectively.
Traffic control system for vehicles on Indian roads using raspberry Pi
Authors: Kumar Bura Vijay , Korra Seena Naik , Swathi N , Kothandaraman D. , Yamsani Nagender , Chanti Yerrolla 
Published: December 2020

Abstract
In India at the roads the vehicles were growing because of the increase of population and controlling of traffic is one of the tough duties for the individuals who control the traffic. The everyday traffic congestion at crucial junctions becomes more issues for the emergency automobiles and ought to wait for until inexperienced signal. This results the growth in pollution ranges and wastage of time, pollutants stages may boom to a huge scale. Previously the traffic control strategies used like magnetic loop detectors, induction loop detectors are buried on the street aspect provide the constrained visitors information and necessitate separate tracking structures for site traffic counting and for traffic surveillance. Right here the undertaking proposes to enforce a synthetic density traffic manipulate gadget using photo processing and Raspberry pi.
Key business drivers for IoT development and security principles
Authors: Sandeep C. H. , Pradeep C. H. , Sivalenka Vishali 
Published: December 2020

Abstract
The recommendation responsible for the Internet of things is the alliance of the internet made it achievable for things or perhaps devices every other and additionally to humans, to obtain some normal objectives. In the future IoT is thought to end up being faultlessly incorporated into our preparing in addition to personal is most likely to become in reality fully only based on this modern technology for convenience and also an additional simple way of living Any form of security deal of the system are visiting straight possess an outcome on a specific way of living. This paper provides the principles of IoT security and IoT development key business drivers.
Confluence of Machine Learning with Edge Computing for IoT Accession
Authors: Mannanuddin Khaja , Aluvala Srinivas , Sneha Y , Kumaraswamy E , Sudarshan E , Mahender K 
Published: December 2020

Abstract
Every day, the estimated volume of data which is generated per day is 2.6 quintillion bytes. From the last two years, there is a lot of data generation and execution is taking rise due to feasible technologies and devices. To make the information accessible with ease, we need to classify the information data and predict an accurate or at least an approximate expected result which is forwarded to the end user client. To achieve the said process, the information technology industries are more concerned with machine learning and edge computing. Machine learning is a integral subset of artificial intelligence. In machine learning, the foremost step towards achieving the above task is to observe the data which is produced in large amount, later classify the data to make the system learn (train) from the old data (experience) that is stored at the server level and finally predict an estimation as a result. The obtained result is been transformed onto the devices which have made a request for a particular data. These devices are remotely located at the corner of the central data center. The process in which the execution of the information data is done at the corner of the data center is called as edge computing. In today’s world of high computation, these two technologies i.e machine learning and edge computing are creating an overwhelming significance for its usage in the business market and end user clients. Here, we try to explain few possibilities of integrating the two technologies.
Raspberry Pi based Sign to Speech Conversion System for Mute Community
Authors: Nirosha G , Dr Velmani Ramasamy 
Published: December 2020

Abstract
Motion sign based language becomes important roles for mute community for data transmission. Mute people facing very difficult situation to convey information to normal people. We find the solution for dumb community to make their communication simple and smart using micro processor. We proposed a latest sign language system for dumb people; it helps in emergency situation to convey their required information to normal people easily. This proposed system converts their sign signal to voice. In this proposed method we implemented using Raspberry Pi microprocessor to fast conversion of data. In this technique two major roles that sign based data conversion and voice generation system using micro processor. For the implementation of this enhanced sign conversion system we used flex sensors as sign conversion and RPI module for processing and 3.5mm Audio jack for voice enable. This proposes system will be useful to all mute community, physically unable persons as well as older people to share their information in any situation.
Iot based Industrial Sensor Monitoring and Alerting System using Raspberry Pi
Authors: Shalini Ch , Mr Prakash I.V 
Published: December 2020

Abstract
The Industrial sensor monitoring is very important for employee security. Now a day’s technology enhances the security system to next level. Internet of things provides the security information known by anywhere in the world. In the proposed article we monitor the industrial security parameters and alerting system to prevent the over damage in case of emergency. Proposed system uses temperature, humidity, smoke, fire sensors for security monitoring and data will process by raspberry micro processor. All the sensor data will post into server for wireless security monitoring with the help of ESP8266 which inbuilt in raspberry pi processor. Buzzer module used to alert the employee at industry for security. This proposed article will enhance the employee security and necked eye monitoring about the emergency in industrial.
Autonomous Smart Energy Meter over Internet of Things using Raspberry Pi
Authors: Pamulaparthy Manogna , Jeevana Jyothi K. 
Published: December 2020

Abstract
The Industrial sensor monitoring is very important for employee security. Now a day’s technology enhances the security system to next level. Internet of things provides the security information known by anywhere in the world. In the proposed article we monitor the industrial security parameters and alerting system to prevent the over damage in case of emergency. Proposed system uses temperature, humidity, smoke, fire sensors for security monitoring and data will process by raspberry micro processor. All the sensor data will post into server for wireless security monitoring with the help of ESP8266 which inbuilt in raspberry pi processor. Buzzer module used to alert the employee at industry for security. This proposed article will enhance the employee security and necked eye monitoring about the emergency in industrial.
IoT as a Health Guide Tool
Authors: Hrushikesava Raju Dr.S , Lakshmi Ramani Burra Dr , Waris Saiyed Faiayaz , Kavitha S 
Published: December 2020

Abstract
Now-a-days, food is very important in order to feed to the live people or animals. It is required to know the statistics about the food in terms of proteins, fat, and factors that increase immunity power. Hence, the proposed methodology called food IoT is developed that will scan the food and displays the statistics that guide details to the customer or client. The details describe about calories that are helpful, the details that will increase fat, the details like food is poisoned, and from the provided statistics, any one could judge the food is useful to feed. This proposed application guarantees the good health because health depends on feeding of food. This is more proactive because it guides which items to be added in case there is less kind of positive minerals and less proteins identified. Hence, a sensor to be required that will display the statistics about the food and is more helpful to the people in order to know category of factors involved in the food. The timed out and mineral less food is identified and could come to be known in this proposed approach. Also, this proposed approach helpful in terms of alerting as a guide based on past experience and reports future predictions about the health as like future weather predictions.
Experimental Study Of The Nano Based Paper Battery
Authors: Sammaiah Pulla , Yakub Baba Md , Praveena devi N. , Rajasri Reddy I 
Published: December 2020

Abstract
Recent Industry looking for paper battery with highly flexibility, easily handling and high voltage. Currently, battery occupies a large quantity of vicinity and contributes to a big part of device weight. In this paper, we use carbon nanotubes with conventional sheet of cellulose based paper as cathode, aluminum foil as anode and a polyethylene (plastic paper) of 50µm as a separator to obtain adaptability, ultra-thin electricity storage without a loss of integrity and performance. In this attempt folded anode and cathode sheets which resulted increase in voltage and achieved approximately 40% more than other paper batteries. Voltage 3.38V is achieved which is better than the preceding existing paper battery voltage.
Performance Optimization Of Hydraulic Brakes In Go-Kart
Authors: Srivastava Jay Prakash , Moizuddin Mohammed , Reddy Gankidi Gangadhar , Suryateja Kavvempally , Sambasiva rao N 
Published: December 2020

Abstract
Go-kart, an agile and elegant vehicle which has become the one from many to acquire basic knowledge of the automobile. Students are very much fascinated towards Design and fabrication of karts to gain hands-on experience. These vehicles encompass all recommended aspects which are involved in lightweight passenger vehicles. Some of the major aspects are likely to be steering, brakes, chassis, transmission system and wheels. Brakes play a crucial role in terms of control and safety. Hydraulic brakes are the only type which aids in achieving minimum stopping distance and time. Use of hydraulic brakes in go-kart became mandatory as the pressurized fluid makes the driver apply less effort. This paper investigated the effect of pedal ratio, manual force and gross weight of the vehicle on stopping distance and stopping time. The result outcomes can be used for the selection of better braking parameter configuration. The reader can choose the value without confusion and design his/her kart accordingly so that it can perform better with ease.
Effect Of Substrate Surface Roughness On Adhesion Of Titanium Nitride Coatings Deposited By Physical Vapour Deposition Technique
Authors: Bhushan TVSMR , Chandrashekhar A , Venkat Prasat S , Rajasri Reddy I 
Published: December 2020

Abstract
Medium carbon steel (EN8) substrates with different Surface Roughness (SR) were deposited by Titanium Nitride (TiN). The research work was carried out to investigate the effect of SR and thickness of the thin film coating on substrate structure and tribological properties. EN8 rectangular blocks (60x10x10mm) were used as substrate materials. The variations in SR were achieved by using emery paper on one side and by machining the other side. Scratch tests were conducted and they showed that TiN coatings on substrate with higher SR (1.2 µm) exhibited less adhesion strength compared to TiN coatings on substrate with a lower SR (0.4 µm). Scratch tests also indicated poor adhesion with an increase in the SR of the substrate. The traction force and Coefficient of Friction (COF) were measured during the dry scratch tests under different normal loads, sliding speeds and ramp load conditions. To examine the morphologies of coated substrates and worn surfaces after the scratch test, optical microscopy was utilized. It was found out that TiN coating with a substrate roughness of 0.4 µm exhibited a lower COF and its wear mechanism was adhesive wear. It was experimentally found out that by decreasing the SR of the substrate coatings, wear resistance could be improved.
Comparison Of Tests For Isomorphism In Planetary Gear Trains
Authors: Rajasri Reddy I , Reddy Ch Vinay Kumar , Rao YVD , Chandra Shekar A 
Published: December 2020

Abstract
There are plenty of ways available for synthesis and analysis of Planetary Gear Trains (PGTs) of one DOF. However, every method has its own shortcomings. In this paper a comparison is made between Characteristic polynomial, Eigenvalues and Eigenvectors, Hamming Number Method and Modified Path Matrix (MPM) method. There are many methods available to test isomorphism in PGTs, out of which these four methods wasanalyzed in this paper. For a given PGT with a number of links and a single Degree of Freedom (DOF), adjacency matrix is enough to find out the Eigenvalues and Eigenvectors. Isomorphism of PGT is determined using the Eigenvalues. If Eigenvalues are similar then the PGTs are isomorphic. Similarly, if the characteristic polynomials of two PGTs are samethen it represents the isomorphic PGTs. Characteristic polynomials are determined from the Adjacency matrix. Hamming method also uses adjacency matrix to generate Hamming matrix. Hamming strings are developed from Hamming Matrix. Uniform hamming strings of two PGTsindicates isomorphism in PGTs. Along with isomorphism, Symmetry also known from the Hamming method. Modified path matrix method uses a connectivity matrix to generate MPM. If train values of two PGTs are same then they will be isomorphic otherwise non isomorphic. As per literature as the number of links increases the results may not be accurate with Characteristic coefficients and Eigenvalues methods, though all these methods are used to detect isomorphism among a group of PGTs. Whereas with the Hamming number approach, one can detect isomorphism, symmetry and number of possible level combinations of an PGT with a single hamming matrix.
Consequences on Manual Drawing Ability from Computer Aided Design and Computer Aided Manufacturing
Authors: Rajesh Adla , Mahesh V. , Srivastava Jay Prakash , Abhilash P , Jakkula Suni Kunar 
Published: December 2020

Abstract
Evolution of Drafting/Drawing started in the French by Gaspard monge in the year 13th Century. Till 1980’s Manual drawings played a predominant role. Mini Drafter came into existence when people found that the things must be drawn in an effective manner. The basic instruments like Protractors, French Curves, T-squares are generally used in the drawing. Later on there is an advancement of drawing the same things in the computer Monitor system which they used a software called Computer Aided Design. As the manual drawing used protractors and compasses, the Modern way of Drafting is using the commands and the codes as the tools. The innovation of CAD made the people to draft the things in an accurate and precise manner. The theme of the paper is to show the aid and advantages of Computer Aided Design and modern techniques used in the field of engineering which also includes the way of protecting manual drafting skills.
Case Study on Different Go Kart Engine Transmission Systems
Authors: Srivastava Jay Prakash , Readdy Gankidi Gangadhar , Moizuddin Mohammed , Theja Kavvampelly Surya , Sambasiva Rao N 
Published: December 2020

Abstract
Go Kart, by definition is a simple 4-wheeler, single seater on track vehicle with no differential and suspension system. Fabrication of go-kart aid in learning about all the divisions involved in vehicle design like chassis, steering, transmission, brakes and so on. In any vehicle, engine determines the speed and power of a vehicle, as so in go karts. McCulloch MC-10 was the first go kart engine which is a manually transmitted two stroke engines adapted from chain saw, manufactured by McCulloch Company.At present they are many engines existing which are appropriate for go kart. This paper aims to study the velocity, acceleration, torque, sprocket ratio and slipping condition of three different types of engines (manual transmission engine, continuous variable transmission engine and industrial engine). Engines are opted as per standards issued by Society of Automobile Engineers (SAE), India and abroad. Analytical formulations are used to carry-out the performance comparison. This study helps design engineers or automobile enthusiasts in proper selection of engines based on their need and their application.
A review of methods on Condition Monitoring and Fault Diagnosis using IR Thermography–An Expert System approach
Authors: Reddy Ch. Vinay Kumar , Ramana K. V. 
Published: December 2020

Abstract
Condition Monitoring is a process of checking faults in machinery. The main goal of Condition Monitoring is to check the health of critical components of machines and systems. In real situations during operation of machines decisions to be taken on maintenance are considered based on the condition. It has the benefits such as decreasing catastrophic failures, minimize the maintenance, operational and logistical cost, maximize the system security, availability and increasing the reliability. Different researchers use different methods for fault diagnosis. Every method has its own shortcomings. In this paper a study has been done on the Expert system to do condition monitoring and fault diagnosis using IR Thermography.