bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Super Absorbent Polymer on the Sulfate Resistance of Cement Mortar
Authors: Hang Meiyan , Yang Yubin , Jiang Minghui , Wang Chenggong , Cheng Teng , Wang Hao , Zhou Gangming 
Published: November 2021

Abstract
Structures are easily corroded in the Salt Lake areas of China, especially in sulfate solution. This study was intended to settle the problem of sulfate corrosion failure of concrete structures, the influences of different contents of super absorbent polymer (abbreviated as SAP) on the working performance, mechanical properties, corrosion resistance and expansion performance of cement mortar were studied. The mechanism of SAP in mortar was analyzed and studied by SEM. The results showed that although SAP could slightly decrease the fluidity and strength of cement mortar, but it could remarkably improve the coefficient of resistance erosion of specimens and the inflation coefficient of cement paste. When the content of SAP was 0.3%, the sulfate corrosion resistance and expansion performance of specimens showed the best (the coefficient of resistance erosion and inflation coefficient of mortar specimens were 0.95 and 0.97, respectively). Besides, SAP could release much water in the hydration process, form irregular holes, and increase the porosity of mortar specimens. There would more hydration products generated and filled in the pores during the hydration process, thereby improving the sulfate resistance of mortar specimens. Therefore, this research provides theoretical guidance and basis for the study of sulfate corrosion damage of concrete structures in the future.
Microstructure and Corrosion Resistance of Fe-Cr-Si Alloys
Authors: Yu Qin Tie , Yan Song Chun , Cheng Ma Ru , Liang Gui Yong 
Published: November 2021

Abstract
Fe-Cr-Si alloys material has good abrasion resistance, corrosion resistance and high-temperature oxidation resistance, especially the introduction of Si element can further improve its corrosion resistance. In this work, two Fe-Cr-Si alloys with different Si (10wt. % and 12wt. %) contents were designed and prepared by an arc furnace process. The microstructure and corrosion resistance of Fe-Cr-Si alloys were investigated. Results has shown that the Fe-Cr-Si alloys are composed of primary dendrite and interdendrite matrix, and metal silicide Fe3Si formed in the microstructure. Fe-Cr-Si alloys have a wider passivation interval than 2Cr13 stainless steel and the corrosion resistance of the Fe-Cr-Si alloys increased by more than 20 times in 10%HCl solution compare to 2Cr13 stainless steel.\
The Oxidation of SiC Fiber and SiC Fiber Reinforced Boron Phenolic Resin Composite
Authors: Wan Li , Dong Chuang , Wang Ying , Shi Minxian 
Published: November 2021

Abstract
The SiC fiber was thermally treated in air atmosphere and the SiC fiber reinforced boron phenolic resin composite was prepared by hot molding process by introducing inorganic ceramic particles. The thermal stabilities, the surface microstructures, the diameter and oxygen mental content variations, and the crystal structures of SiC fiber heated and kept for 0.5 h and 1h at different high temperatures were investigated through TG, SEM, XRD analysis. The cross-section morphology of the composite also observed. The results showed that the SiC fiber had good thermal resistance at high temperature in N2, however it was easy to be oxidized at high temperature in air. When heated from 25 °C to 1600 °C and kept for 1 h, the fiber was oxidized to SiO2 and the fiber surface was coarse and cracked. With the temperature increasing, the diameter of the fiber decreased and the oxygen content increased. Highly different form the cross-section morphology of SiC fiber itself heated in air, the cross-section morphology of SiC fiber in composite was weakly oxidized and the cross section was smooth and there was no distinct oxidation layer existing.
Research on the Response Characteristics of Bio-Inspired Composite Sandwich Structure under Low Velocity Impact
Authors: Hao Peng , Li Lin’an , Du Jianxun 
Published: November 2021

Abstract
In order to research the impact mechanical response characteristics of the bio-inspired composite sandwich structure, the hemispherical impactor is preloaded with different energy to impact bio-inspired and conventional composite sandwich structure, the stress distribution and dynamic response characteristics of composite sandwich structure under impact load are studied. The results show that the main damage of the upper panel is fiber shear fracture, while crushing fracture for the core, and the main damage of the lower panel is fiber tensile tearing under different impact load. The bio-inspired composite sandwich structure shows better impact resistance in terms of damage depth and maximum impact load under the same impact energy. From the perspective of energy consumption, the bio-inspired structure absorbed more energy than conventional structure under high energy impact.
Conceptual Design and Analysis of Pipe Climbing Robot
Authors: Shah Darshita , Dave Jatin , Majithiya Ashish , Patel Yash 
Published: November 2021

Abstract
Robotics is one of the most emerging technologies in the current scenario. In this fast-growing technological world automation through robotics finds its place in almost all the fields. Climbing robots became more popular due to their versatile applications like inspection of tall buildings, tanks, structures, facade cleaning, fruits harvesting on tall trees (coconut) and many more. It became most adaptive as working on height may lead to dangerous incidents for human beings. Operations like visual inspection, crack detection of tall structures and pipes can be made possible with specially designed pipe climber robot. It finds its applications where human cannot reach, like hazardous applications. Specially design robots for a specific application also performs well with precision. This paper presents the novel design and analysis of pipe climbing robot for Chemical plant pipeline fault and leakage detection purpose. Design of all components of the robot is done with the basic mathematical consideration and then its analysis is carried out using FEA tools and MATLAB. Results of Forward and Inverse kinematic analysis of robot are obtained for certain specific points of trajectory. Dynamic analysis has been performed for motor selection and torque calculation. Presented conceptual design and analysis can be useful for pipe inspection purpose.
Real-time Motion Control of Robot Using Kinect
Authors: Dilip R , Dharani J , Jai Viknesh K J , Lohith D S , Prakash Yogesh 
Published: November 2021

Abstract
The goal of Industry 4.0 is to maximize efficiency and reduce human efforts. Artificial Intelligence, Cloud Computing, Robotics, Mobile Technologies and many other technological advances generate Industry 4.0. Humanoid robots resemble humans and their primary goal is to perform any task programmed by the user. Our goal is to create a portable and safer system that can be used in any dynamic environment to control the robot and avoid any sort of complexity. With the rapid technological advances, there is no need to worry about unemployment since it requires a technical expert in the field to control the robot. This paper discusses how this control system processes gesture data along with a brief discussion of certain useful applications.
Smart Parking System using MQTT Communication Protocol and IBM Cloud
Authors: Ashhwath C , Rohitram V , Sumathi G 
Published: November 2021

Abstract
In today’s world, the vast majority of people in large cities rely on automobiles. As a result, automobile parking has become an important part of our daily life. As a result, with such a vast population and a fast-paced world, vehicle parking has become a major concern. Such issues cause stress and strain, which might result in accidents. To help them out in such situations, a “smart” approach for running multilevel parking systems efficiently. To automate the parking procedure by monitoring metrics such as distance and available parking spaces, NodeMCU and IBM Cloud are used. The distance is measured, and the information is sent to Node-RED over the MQTT protocol. The Node-RED dashboard allows the user to view availability from any location. If the distance is too great, the space is unoccupied. If the parking area is fully occupied, the owner or person in control of the parking lot is also notified. This is accomplished by combining IFTTT and Node-RED. Watson is a virtual assistant that helps consumers with a variety of questions.
A modest IoT based smart parking system with business analytics integration
Authors: Bala Murugan MS , Rajagopal Manoj Kumar , Kannan Tarun Rahul , Kathiresan Gugan 
Published: November 2021

Abstract
Traditional parking systems are challenging and tedious as it is occupied at irregular intervals for various reasons. Without proper design, this could lead to loss of business revenue in commercial establishments. The objective of this study is to implement an IoT-based system to address issues faced by visitors at parking lots. The proposed system would include capabilities that can display the status of availability of the lot it is placed in and will report the status through a web service. This availability status is transmitted through WiFi, which can provide insight into the parking activities of the establishment. This provides valuable data for the use of business analytics. This study highlights the advantages a basic and low-cost IoT-based Smart Parking Lot system could present. This is visualized using custom and open-source parking datasets. These features provide the basis for discussion on future improvements and scalable parking solutions.
Automated Quadruped Robot Simulation using Internet of Things and MATLAB
Authors: Ray Richik , Shanker Rishita , Gupta Harsh , Sharan Mohit , Mohanty Swagatika 
Published: November 2021

Abstract
In this paper, a MATLAB Simulink model of a Quadruped Robot is presented alongside its remote, control and monitor user interface that has been developed by using the fundamentals of Internet of Things on a Node-Red Flow and the FRED-Cloud Server. Robotics and Automation over the recent years have developed exponentially and hence have been a key factor in the rise of Industry 4.0 which has usurped manual supervision and operation in industrial and manufacturing processes around the globe. The design and creation of technologically advanced robots integrated with computer-based software for their automation has not only successfully made the tasks facile to manage within short spans of time, but also has increased the efficiency notably. The stability and mobility of quadruped robots is considered to be ideal on differing terrains with minimal subtle changes, thereby making it an asset. Internet of Things on the other hand, has paved its way over the control of robots as well, with its unparalleled benefits. This paper is focused on the design and execution of the Quadiuped model which includes the observation of the various significant graphs achieved post simulation with respect to electrical values such as power and current consumption, and a visual animation of the robot running in the workspace. Furthermore, a single platform is developed and displayed that allows a user to log in for security puiposes and thereby, operate and monitor the functions and conditions of the bot easily, ranging from remote visual support, directional integrity, damage control and more, without the need of multiple platforms to carry out varying tasks with respect to control.
Root locus approach in design of PID controller for cruise control application
Authors: Manju Prasad M , Inayathullah M A 
Published: November 2021

Abstract
The Proportional Integral Derivative (PID) controller is an effective and common feedback control design used in closed loop control systems. One such best consideration of closed loop control system would be cruise control system. This is a system that automatically controls the speed of an electric vehicle despite external disturbances. In this paper, the goal is to design a PID controller using root locus technique for a closed loop cruise control system. By root locus approach, the controller constants and controller design is finalized. Simulation results through MATLAB environment validate the effectiveness of controller design.
A Futuristic Approach for Stroke Rehabilitation Using Smart Gloves
Authors: Aghil T , Rahul S , Buvan Kumaar S , Vijay Yati , Tharun Kumar S , Sidhharth B 
Published: November 2021

Abstract
Stroke is a serious, common, and assured as a global health issue across the globe. Stroke is one of most common cause of death and is a leading cause of impairment in adults. Despite all impressive progression and development in the treatment of stroke, without effective modes of care most stroke patients care will continue to rely on physiotherapy involvement. The purpose of this paper is to explain about a new and better device which helps patients affected by stroke who are not able to move their hands. To rehabilitate stroke survivors, the proposed prototype is designed such that it is a portable smart glove which helps users to regain their muscle memory by continuously contracting and releasing their muscles without the involvement of physiotherapist. This device/glove also consists of sensors that collect and send data to UI using ESP32. This UI is available for the doctors to see the statistics of glove usage and monitors the patient’s conditions. The Glove uses a soft robotics approach to replicate the human hand. The Glove initially aims to contract and release all the muscles in the hand in regular intervals of time. This muscle movement aims to build lost muscle memory.
Low-cost Large Scale Vermicompost Unit
Authors: Solanki Sonam , Mahore Gunendra 
Published: November 2021

Abstract
In the current process of producing vermicompost on a large-scale, the main challenge is to keep the worms alive. This is achieved by maintaining temperature and moisture in their living medium. It is a difficult task to maintain these parameters throughout the process. Currently, this is achieved by building infrastructure but this method requires a large initial investment and long-run maintenance. Also, these methods are limited to small-scale production. For large-scale production, a unit is developed which utilises natural airflow with water and automation. The main aim of this unit is to provide favourable conditions to worms in large-scale production with very low investment and minimum maintenance in long term. The key innovation of this research is that the technology used in the unit should be practical and easy to adopt by small farmers. For long-term maintenance of the technology lesser number of parts are used.
Guardian device for women - a survey and comparison study
Authors: Manikumar  , Balaji V R , Paramanandham Nirmala , Murugan M 
Published: November 2021

Abstract
Nowadays women are facing many problems; the most common problems are mental and physical harassment. In order to secure women from such harassments, we propose a novel device Guardian Device for women. The device works with a trigger, microcontroller, GSM module, GPS module, IoT module, Neuro Stimulator, Buzzer, Vibrating Sensor, Pulse sensor, Solar charging battery and a button sized camera. The women can switch ON the trigger whenever they feel danger. The device will activate the global positioning system (GPS), which obviously will track the exact position of the device. The device sends an emergency message to the registered mobile number and nearby police station. The button sized camera captures the image of an attacker and sends the copy to the police stations nearby. Neuro stimulator will give unethical shock to the attacker and a buzzer gives an alarm which alerts the people surrounding the victim.
User authenticated smart home automation system with healthcare
Authors: Nagajayanthi B , Vikneshrajan M , Navya Kuppala 
Published: November 2021

Abstract
Traditional home automation is inconvenient for aging people. Biometric based personalized smart phone secures smart home automation. Internet of Things (IoT) is envisioned as a promising solution in the thrusting arenas of healthcare, industries, home automation and other domains due to its significant contribution towards connectivity, security, sleek design, low power, low cost and low workforce. This has come a long way industrially and is making an impact in the domestic market after Covid-19 pandemic. Social distancing and contact less solution is the need of the hour. Life style of people has changed from home to workplace such as remote monitoring, collaborative online work-place and online classes. This has increased the economic status of the home automation products manufacturing industry. User Authenticated Smart Home Automation with Healthcare Architecture considers security along with healthcare. This takes into account IoT reusable design concept that uses in-built user specific biometrics in smart phone for secured authentication. IoT based electronics and electrical devices are remotely monitored. The user activity is monitored and archived for future retrieval. An ambient temperature is maintained to make sure that the devices are operated in near ideal circumstances to avoid thermal throttling and this extends the lifetime of the devices. Thermal throttling causes serious threats to the devices and to the human being. In the proposed User Authenticated Smart Home Automation System with Healthcare, smart home is secured using user specific biometric authentication; sanitizer is provided and temperature is measured on entry; thermal throttling due to devices is prevented by maintaining the room temperature thereby providing healthcare.
Modeling Cognitive System with Applied Machine learning in Additive Manufacturing using Fifth Generation Computer Systems
Authors: Ajithbabu R , Krishnaranjani R , Rohith Jk , Kavileswarapu Saranya , Siddharth  , Nahar Raunak 
Published: November 2021

Abstract
Data mining is known as data, which promotes the growth of knowledge discovery. It is the process of analyzing descriptive data from divergent perspectives and summarizing it into valuable information, which is high-level music processing out of which a machine intends to decipher the Raaga of a frequency or the pitch of the music. One of the ways to approach the task is by comparing selected music features from the spectrum and a Raaga database. Recognizing emotion from music has become one of the active research themes in image processing and applications based on human-computer interaction. This research conducts an experimental study on recognizing facial emotions. The flow of the emotion recognition system includes the basic process in the singular value decomposition system. These include music acquisition, pre-processing of a spectrum, feature detection, feature extraction, classification, and when the emotions are classified, the system assigns the particular user music according to his emotion. The proposed system focuses on live images taken from the music database. This research aims to develop an automatic music recognition system for innovative manufacturing through the additive manufacturing route. The emotions considered for the experiments include happiness, Sadness, Surprise, Fear, Disgust, and Anger that are universally accepted. This paper overviews the progress of applying Additive manufacturing in Applied Machine learning which sustains the capability of disruptive digital manufacturing.
A View on Pythagorean Fuzzy Contra 𝓖∗ Continuous Function
Authors: Gnanachristy N B , Revathi G K 
Published: November 2021

Abstract
The new dimension of non-standard fuzzy sets called Pythagorean fuzzy sets which can handle the inaccurate data very strongly has been established in recent days. Even though intuitionistic fuzzy sets were generously used in decision making to handle the imprecise data the novelty and the voluminous of Pythagorean fuzzy environment gives motivation to use it in decision making process. The Pythagorean fuzzy topological spaces are the novel generalization of fuzzy topological spaces. Herein the concept of Pythagorean fuzzy contra 𝒢∗ continuous functions are explored. Interrelations have been studied elaborately for the defined functions using various examples.
Feature Engineering for Motion Classification in Machine Vision
Authors: Shaw Soumya , Elias Susan , Velusamy Sudha 
Published: November 2021

Abstract
With the most advanced classification algorithms in the technological platform, the computational power requirement is on the surge. The paper hereby presents computationally trivial algorithms to simplify the process of computational intensive classifications techniques, especially in the Motion Classification arena. The proposed methods prove crucial in acting as a lightweight and computationally fast stepping stone to a fundamentally more significant application of Motion indexing and classification, Action recognition, and predictive analysis of motion energy. The algorithms classify the motions into linear, circular, or periodic motion types by following an appropriate execution order. They consider the tracked motion path of the object of interest as a sequence and use it as a starting point to perform all operations, resulting in a feature that can be classified into separate classes. Using a single parameter for classifying the motion engenders a faster and relatively more straightforward route to motion identification and elicits the algorithm’s uniqueness. Two algorithms are proposed, namely, Angle Derivative Technique and Determinant Method for classifying the motion into two classes (linear & circular). On the other hand, a different algorithm identifies periodic motion using the principle of correlation on the motion sequences. All the algorithms show an average accuracy of over 95%. It also elicited an average processing time of 15.6 ms and 19.86 ms for Angle Derivative Method and Determinant Method, respectively, and 31.2 ms for periodic motion on Intel(R) Core(TM) i3-5005U CPU @ 2.00 GHz and 8GB RAM. A dataset of camera-captured videos consisting of three motion types is used for testing while the proposed methods are trained on a dataset of motion described by mathematical equations with added 3σ noise levels.
Time series forecasting for the adobe software company’s stock prices using ARIMA (BOX-JENKIN’) model
Authors: Vaibhava Lakshmi R. , Radha S. 
Published: November 2021

Abstract
The time series forecasting strategy, Auto-Regressive Integrated Moving Average (ARIMA) model, is applied on the time series data consisting of Adobe stock prices, in order to forecast the future prices for a period of one year. ARIMA model is used due to its simple and flexible implementation for short term predictions of future stock prices. In order to achieve stationarity, the time series data requires second-order differencing. The comparison and parameterization of the ARIMA model has been done using auto-correlation plot, partial auto-correlation plot and auto.arima() function provided in R (which automatically finds the best fitting model based on the AIC and BIC values). The ARIMA (0, 2, 1) (0, 0, 2) [12] is chosen as the best fitting model, with a very less MAPE (Mean Absolute Percentage Error) of 3.854958%.