bluuebunny/crossref_metadata_2025_split huggingface dataset:
Project Based Blended Learning and Independent Learning on Critical Thinking Skill
Authors: Aliftika O , Astra I M , Supriyati Y 
Published: October 2021

Abstract
This study aimed to determine the effect of the project based blended learning and independent learning of critical thinking skill. The study used the quasi-experimental research method in the 2x2 treatment by level model. The subjects of this study were vocational high school students in Grade 10. The samples were divided into two groups; one group learned through the project based blended learning model with 73 students while the other group learned through the blended learning model with 74 students. Both groups were then given an independent learning test to divide students into categories of students who had high independent learning and students who had low independent learning. The research showed that the critical thinking skill of students who learned through the project based blended learning models was higher than those who learned through only blended learning models. Also, the critical thinking skill of students who had high independent learning was greater than students who had low independent learning. The results of the hypothesis test indicated that there is a significant difference in critical thinking skill between students who learned through the project based blended learning model and students who learned through the blended learning model, and there is a significant interaction effect between learning models and independent learning on critical thinking skill.
Determination of Springs Constant by Hooke’s Law and Simple Harmonic Motion Experiment
Authors: Wulandari S , Iswanto B H , Sugihartono I 
Published: October 2021

Abstract
This study aims to calculate the spring constants of two types of stainless using Hooke’s Law principle and simple harmonic motion methods. Two types of springs (spring I and II) with different sizes in diameter have spring constant k values of 24 N/m and 5.4N/m, respectively. Based on the experiment and calculation, the spring constant of spring 1 calculated by Hooke’s Law and the simple harmonic motion experiment has an average value of 23.22 N/m with an error of 3.24% and 23.06 N/m with an error of 3.90%. On the other hand, the spring constant of spring 2 calculated by Hooke’s Law and the simple harmonic motion experiment has an average value of 5.47 N/m with an error of 1.44% and 5.32 N/m with an error of 1.48 %. Hence, we concluded that the determination of spring constant using Hooke’s Law has better accuracy.
Trends of Augmented Reality in Science Learning: A Review of the Literature
Authors: Alizkan U , Wibowo F C , Sanjaya L , Kurniawan B R , Prahani B K 
Published: October 2021

Abstract
This study provides a literature review on the trend of using Augmented Reality (AR) in science learning. A relative literature review was carried out by collecting 30 journals from the Science Direct and Google Scholar databases in the period 2012 to 2021. This paper examines the research that has been done on the use of AR in science learning and classifies it into 11 topics, namely about inquiry skills, critical thinking, conceptual knowledge, misconception, conceptual understanding, knowledge construction, learning outcomes, attention, attitude, achievement, motivation, collaborative and autonomous learning. A review of the research results shows that the overall use of AR technology in recent years has increased, especially on the topic of attitude and achievement which has a positive impact on science learning. While on the topic of misconceptions, inquiry skills, attention, collaborative and autonomous learning has not been widely studied by researchers. In addition, the use of AR in science learning has challenged such as students, teachers, and technical. This is interesting for further research.
Preliminary Study on High-Temperature Oxidation of Ni-AlN-TiN/Si3N4 Electrodeposition Composite Coatings
Authors: Budi E , Tandri C , Darsono N , Andiani A W , Fajrin M , Indrasari W , Sugihartono I , Prayitno T B 
Published: October 2021

Abstract
High-temperature oxidation is a serious problem for several materials during their application in aggressive environments, such as high temperatures, high-speed machining, and corrosive environments. This research was conducted to analyze the effect of high-temperature oxidation on the surface morphology of the Ni-AlN-TiN/Si3N4 composite coating. The coatings were electrodeposited at a current of 5 me for 15 minutes and various electrodeposition temperatures of 35°C, 40°C, and 45°C. This composite coating was formed on tungsten carbide substrates with the electrolyte solution consisting of 6 g/L AlN, 6 g/L TiN, 40 g/L H3BO3, 0.6 g/L Si3N4, 0.17 M NiCl2.6H2O, 0.38 M NiSO4.6H2O, and 0.6 g/L Sodium Dodecyl Sulfate. The high-temperature oxidation process was carried out at a temperature of 700°C for 2 hours in the furnace. The surface morphology was characterized by using Scanning Electron Microscopy (SEM). The results showed that the surface morphology of the Ni-AlN-TiN/Si3N4 composite coating deposited at a temperature of 40°C had a scaled growth, reduced cracks, and reduced pore. It was due to the effect of high-temperature treatment.
Identification and Determining The Pseudo Magnitude Of Meissa Star Based on Observation Data From The Eastern Sky In The Mentigen Hills of The Pseudo Magnitude of Meissa Star Based on Observation Data From The Eastern Sky
Authors: Sutrisno  , Fadilla T J R 
Published: October 2021

Abstract
Mentigen Hill, Mount Bromo is a tourist area located at an altitude of 2,392 meters above sea level. As a tourist destination in Peak Bromo, the sky at night has almost no light pollution, it will be very good for observing celestial bodies. For this reason, identification and measurements of the pseudo magnitude of star observations are made using a camera. Meissa star is a blue giant star type O which is included in the Lambda Orionis. The rate at which a star is observed from Earth is called its apparent magnitude. Analysis of the identification and measurement of the pseudo magnitude of the stars can be done using the Iris 5.59 software. Based on the results of the analysis in the Iris 5.59 software, it was concluded that the Missal Star was identified and the apparent magnitude measurement was (3.87 ± 1.10) with an error of 2.39%. It is suggested by the results of this study to develop astronomical tourism.
Simulation of atmospheric dynamics during heavy rain events on Nias Island using WRF model and Himawari-8 satellite data
Authors: Siburian R , Saragih I J A , Situmorang M , Tarigan K , Sembiring K , Sinambela M , Humaidi S 
Published: October 2021

Abstract
Nias is the largest island in the Indian Ocean west of Sumatra. The geographical condition of Nias Island which is a small island surrounded by waters causes strong weather dynamics and high intensity of rainfall. This study was conducted to determine changes in weather dynamics conditions during high rainfall on Nias Island, including the parameters of the vertical profile of air humidity, vorticity, divergence, vertical velocity, reflectivity; and cloud top temperatures. The simulation was carried out on 4 days of heavy rain in 2020, each representing each season period, namely 7 February 2020 for December-January-February (DJF), 30 April 2020 for March-April-May (MAM), 3 August 2020 for June-July-August (JJA), and 8 October 2020 for September-October-November (SON). The data used are Final Analysis Data (FNL) with a spatial resolution of 1°x1° as input data for the Weather Research and Forecast (WRF) model, IR1 data (band#13 – 10.4µm) Himawari-8 satellite, and observational rainfall data from the Binaka and Global Meteorological Stations. Precipitation Measurement – The Integrated Multi-Satellite Retrievals for GPM (GPM IMERG) with a spatial resolution of 0.1°x0.1°. The results showed that the presence of Cumulonimbus convective clouds caused heavy rain, with cloud top temperatures reaching -60°C to -80°C. The relatively humid atmosphere, accompanied by the convection mechanism that occurs, causes the convective activity on Nias Island to be quite intense.
X-Ray Peak Profile Analysis of Silica by Williamson–Hall and Size-Strain Plot Methods
Authors: Hariyanto B , Wardani D A P , Kurniawati N , Har N P , Darmawan N , Irzaman  
Published: October 2021

Abstract
Annealed silica has been prepared by various annealing temperatures at 800 °C and 1000 °C. The crystallite size and lattice strain of silica were estimated by x-ray diffraction spectra analysis using various calculation methods; Modified Scherrer, Williamson-Hall (W-H), and Size-Strain Plot. Qualitative analysis confirms that the XRD patterns were hexagonal quartz. Annealing temperature cause a change in crystal size and lattice strain and all methods showed a decrease in the value of the crystal size with increasing annealing temperature from 800 °C to 1000 °C.
Digital Text Security with Steganography Least Significant Bit and Audio Feature Extraction
Authors: Delina M , Nasbey H , Gunawan A , Muhasyah S 
Published: October 2021

Abstract
The study developed a digital text security system by inserting the classified message or text into digital audio (stego audio) with the least significant bit (LSB) steganography and audio feature extraction. The text bits were inserted into each cover audio frame based on the value of feature extraction energy and zero-crossing rate (ZCR). The study has demonstrated that the least significant bit and audio feature extraction can cover the digital text in stego audio and then be extracted back to the original digital text. There is a small difference in feature extraction energy value between stego audio and cover audio. While there is no difference in feature extraction zero-crossing rate between stego audio and cover audio. The study also measured signal-to-noise ratio (SNR); the detected noise in stego audio because of the change in the least significant bit. The SNR is 111.97 – 130.00 dB.
Examples of PT Phase Transition : QM to QFT
Authors: Prasad Mandal Bhabani 
Published: October 2021

AbstractParity Time Reversal (PT) phase transition is a typical characteristic of most of the PT symmetric non-Hermitian (NH) systems. Depending on the theory, a particular system and spacetime dimensionality PT phase transition has various interesting features. In this article we review some of our works on PT phase transitions in quantum mechanics (QM) as well as in Quantum Field theory (QFT). We demonstrate typical characteristics of PT phase transition with the help of several analytically solved examples. In one dimensional QM, we consider examples with exactly as well as quasi exactly solvable (QES) models to capture essential features of PT phase transition. The discrete symmetries have rich structures in higher dimensions which are used to explore the PT phase transition in higher dimensional systems. We consider anisotropic SHOs in two and three dimensions to realize some connection between the symmetry of original hermitian Hamiltonian and the unbroken phase of the NH system. We consider the 2+1 dimensional massless Dirac particle in the external magnetic field with PT symmetric non-Hermitian spin-orbit interaction in the background of the Dirac oscillator potential to show the PT phase transition in a relativistic system. A small mass gap, consistent with the other approaches and experimental observations is generated only in the unbroken phase of the system. Finally we develop the NH formulation in an SU(N) gauge field theoretic model by using the natural but unconventional Hermiticity properties of the ghost fields. Deconfinement to confinement phase transition has been realized as PT phase transition in such a non-hermitian model.
Face Recognition using CNN and Tracking Locations using Image Metadata
Authors: Sushma Ch. , Lalitha Surya Kumari P 
Published: October 2021

Abstract
In This Paper Face Recognition has gain the more attention in the society of network multimedia for accessing information. Emerging Areas like network security, content indexing and extraction, and video compression benefits from face recognition technic because “people” are the center of attention in a lot of video footages. Face detection is advanced research area in the computer science vision. The research under this area is expanding in others areas like psychology. Localization of human face will be first and the initial stage as a study of face detection. In this paper the usage of Convolutional Neural Network (CNN) algorithm in detecting the criminal face and also the process of getting the location from image.
Design and Fabrication of Automatic Squeezing Machine for Food Industries
Authors: Imthiyas A. , Mahesh R. , Eldho Emin , Baby Nevin , Hariprasath N S 
Published: October 2021

Abstract
In the food sector, automation is increasingly a requirement to meet the requisite aspects of quality control, delivery performance, labour shortages, and revenue growth. Because of extremely competitive retailers always pulling to low prices, raw costs of raw material, and skyrocketing charges for utilization in an environment of labor-intensive production, food manufacturers are looking to automate their manufacturing operations. The capacity to mimic a product’s aesthetic and quality with the least amount of materials not only increases line efficiency and profits, but it also has the potential to enhance sales. It also decreases the amount of work that has to be done. This food squeezing machine will squeeze food at a fast speed and in a more precise shape. In comparison to manual and traditional processes, the production rate is also high.
Design of Hybrid Deep Learning Approach for Covid-19 Infected Lung Image Segmentation
Authors: R-Prabha M. , Prabhu Ramkumar , Suganthi SU. , Sridevi S. , Senthil G.A. , Vijendra Babu D. 
Published: October 2021

AbstractLung infection or sickness is one of the most common acute ailments in humans. Pneumonia is one of the most common lung infections, and the annual global mortality rate from untreated pneumonia is increasing. Because of its rapid spread, pneumonia caused by the Coronavirus Disease (COVID-19) has emerged as a global danger as of December 2019. At the clinical level, the COVID-19 is frequently measured using a Computed Tomography Scan Slice (CTS) or a Chest X-ray. The goal of this study is to develop an image processing method for analyzing COVID-19 infection in CTS patients. The images in this study were preprocessed using the Hybrid Swarm Intelligence and Fuzzy DPSO algorithms. The findings suggest that the proposed method is more dependable, accurate, and simple than existing methods.
Study on Flexural Behavior of Bubble Deck Slab Strengthened with FRP
Authors: Abishek V. , Iyappan G.R. 
Published: October 2021

Abstract
Bubble deck sheets are a technique to remove all the concrete from the center of the floor sheet, thus reducing structural dead weight. Inefficient concrete in the center of the slab replaces the high-density hollow spheres (HDPE). The weight decreases and increases efficiency in the plane. Because the bubble deck slab consumes less material, it reduces greenhouse gas emissions into the atmosphere, enabling us to achieve green construction. The benefits include reduced energy consumption - both in production and transportation - and emissions - from production and transportation, mainly CO2 - as well as material, load, and value reduction. It is also a green technology. Reduce the volume of concrete in the bubble deck technology by substituting locally available spherical bubbles. This implies that the monolithic slab element is used to determine load carrying, deformation (deformation), crack, and failure properties in the plant and is subjected to static gravity loads. The resulting conclusions will be used to define the failure mechanisms, and the benefits of the bubble deck slab will be highlighted.
Study on Flexural Behaviour of RC Beam Strengthened with FRP
Authors: Dinesh Kumar J , Sattainathan Sharma A , Suganya Devi K 
Published: October 2021

AbstractThis paper provides the analytical and experimental work of reinforced concrete beams strengthened with FRP. The main objective of this investigation is to study the flexural behaviour of reinforced concrete beams of different methods of strengthening methods using GFRP to find the flexural strength, failure modes, and ductility of the reinforced concrete beam. All beams were strengthened for flexure with external bonding to prevent flexural failure. The analytical and experimental results indicated that the externally bonded GFRP used for flexural strengthening of reinforced concrete beams increased the cracking load, increased the ultimate load-carrying capacity, and exhibited decreased ductility corresponding to the unstrengthen control specimen. The analytical work was carried out using ANSYS 17.0 Software and found the parameters of total deformation, stress strain curves, and Load deflection graph plotted.
Wearable Technology for Visually Challenged People Commutation using Ultrasonic Mapping
Authors: Vijendra Babu D. , Karthikeyan R. , Bharadwaj Sai M , Sai Belly Ajay 
Published: October 2021

Abstract
253 Million People live visual impairment Globally according to World Health Organization (WHO). Assistive technologies plays a major role for the improvement in the quality of life for Visually challenged perosns. Visually impairment Blind people can lead their life either by using manual or technological support. Vision is the dominant sense that assist in execution of day to day activities effectively. The proposed prototype takes care of transition of manual support to technological support with the help of a Wearable device. The Wearable device is being attached with the belt to the top wear of the person and Ultrasonic mapping is used for the commutation of Visually challenged/Blind people without the help of other Human. The Ultrasonic wave is used to detect the obstacle in front and back. It indicates while the obstacle is close enough. If the obstacle is within a reach of 100cm radius, the vibrator connected to it will vibrate and alert the User.
Optimization of Dissimilar aluminum alloy by Friction stir welding Process Control variables with Multiple Objectives
Authors: Kumar S.D. , Pugazhenthi R. , Ajith Arul Danial S. , Swaminathan G. 
Published: October 2021

Abstract
The progress of FSW has offered a different approach for fabricating superior class weld. This paper deals with optimization of process control variables influencing weld features in customized friction stir butt welding having multiple objectives of 6 mm thick dissimilar plates of AA7075 and AA6101 using Taguchi grey relational approach. The L27 orthogonal array has been employed to Obtain the experimental trails and the joints have been fabricated in a laboratory stage friction stir welding equipment by changing tool rotation speed, worktable translational speed, tool plunge force and tool pin shape. After welding, tensile and impact strength of the weld have been evaluated and found that optimum ultimate tensile strength of 129 Mpa., maximum yield strength of 119.21Mpa, maximum % of elongation 24.64% and impact strength 23Mpa simultaneously in FSW process variables of Tool rotation speed is 1200 rpm, transvers speed of 30 mm/min and axial force is at 5 kN. Based on the experimental results optimum levels of process control variables were obtained using grey relation rating and compared with confirmation test.
Fuzzy Logic Algorithm and GSM IoT Based Fire Fighting Robot
Authors: Vasanthkumar P , Arunraj P V , Mohammed Bilal Khan N , Akash A V , Mukunthan R. , Harish Babu R. 
Published: October 2021

Abstract
Artificial Intelligence (AI) covers many areas related to mechanical, electrical, psychology and philosophy. GSM IoT is the new method and idea in a simple application of fire detection. In our project, we are using IR sensor to detect a fire and it sends the information to a microcontroller, which is programed based on a fuzzy logic algorithm that helps to detect the fire and moves the nozzle head of the Fire Fighting Robot. The stepper motor is used for a 360 degree clockwise and anticlockwise rotation. The D.C motor controls the valve opens of the nozzle. The fuzzy logic algorithm is helps to detect the fire and to turn the nozzle in the direction of fire.
Machine Learning Models for Prediction of Cardiovascular Diseases
Authors: Sivaraman K. , Khanna V. 
Published: October 2021

Abstract
Support Vector Machines (SVM) [9], Ada Boost (AB) [10], and Gradient Boosting (GB). Maximum Relevance, Minimum Redundancy (mRMR), Relief, and Least Absolute Shrinkage and Selection Operator (LASSO) are examples of fast correlation-based filters. The authors tested all attributes as well as the selected attributes generated by the above feature selection methods on the Cleveland heart disease dataset (CHDD) and the Hungarian heart disease dataset (HHDD). For their suggested framework, the authors were able to attain the greatest feasible model accuracy of 92.09 percent (all features) and 94.41 percent (selected features). The early detection of cardiac disease was demonstrated by several additional researchers.
Study on recycling of Poly(butylene Terephthalate) and Polypropylene blend
Authors: Pham Nga Thi-Hong , Tran Van Tron , Tien Vo Xuan , Tan Nguyen Thanh , Thien Tran Ngoc , Huong Hoang Van , The Uyen Tran Minh , Quang Doan Duy 
Published: October 2021

Abstract
Poly (butylene terephthalate) (PBT) is a breakable plastic because its high modulus value makes it unsuitable for specific applications. Recycling PBT is even more complicated when the color is no longer the original milky white. This study takes R-PBT from the brush hair scraps and blends with 10% Polypropylene (PP). The results show that the mold continually adhered to is challenging to inject the sample 100% R-PBT. The surface of sample R-PBT / 10% PP has a good gloss and smooth texture, while there is a high shrinkage rate in sample 100% PP. The hardness of sample R-PBT / 10% PP is increased when adding PP. In addition, sample 100% R-PBT has a distinctive shape with tiny fibers, while model 100% PP has a flat surface. For the R-PBT / 10% PP sample, the microstructure has two distinct regions: PBT matrix and PP dispersed-droplets.
On fatigue life scatter under variable-amplitude load history
Authors: Xie L Y , Qin B 
Published: October 2021

Abstract
Fatigue life scatter under a variable amplitude load history is determined by many factors such as the amplitudes of the individual load cycles, the number of the load cycles with different load levels, and the differences between the load levels as well. Besides an brief overview on the studies and experiments on the scatter of fatigue life under variable amplitude load histories, the present paper conducted a series of fatigue tests, demonstrates the life scatters under different load histories, and discusses the dominant factors of fatigue life scatter. It shows that all the load cycles play their roles for the life scatter.
Boiling heat transfer of R32 and R22 in spiral corrugated tube with a vertical groove
Authors: Wang K , Teng W Q , Wang J F , Xie J 
Published: October 2021

AbstractIn this paper, a three-dimensional steady-state boiling model of the spiral corrugated tube with a vertical groove is established by ANSYS Fluent 18.0. The model is a double tube structure, the water flow in the outer tube, the refrigerant flow in the inner tube, and the inner tube is a new type of spiral corrugated tube with a vertical groove inside the groove. Firstly, the physical properties difference between R32 and R22 is analyzed. Subsequently, the boiling heat transfer characteristics of R22 and R32 in the vertical groove inner spiral corrugated tube with different pipe diameters are studied, including the velocity of the inner pipe, the Reynolds number of the outer pipe, and the saturation temperature. Therefore these studies have laid the foundation for the application of R32 in double-tube heat exchangers.