bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Testing of Motorcycle Centrifugal Clutch Lining Made from Composite Wood Powder, Coconut Fibre, and Green Mussel Shell
Authors: Kholil A , Dwiyati S T , Riyadi  , Randika H P 
Published: October 2021

Abstract
This study aims to determine the performance of a motorcycle fitted with a CVT centrifugal clutch lining made from a composite of wood powder, coconut fiber and green clam shell powder with epoxy resin as a constituent matrix. The process of making clutch lining is carried out by mixing the composite constituent materials in the form of powder. The specimens were made in two variations where clutch B was 20% wood powder, 20% coconut fibre, 10% green shell powder. Clutch C was 10% wood powder, 30% coconut fiber, and 10% green shell powder. Genuine clutch A was tested by the same method as the comparison. Meanwhile, the performance testing of automatic motorcycle was carried out by a chassis dynamometer to determine power and torque on wheels. Clutch lining with natural composite materials from a mixture of wood powder, coconut fiber, and shell powder have a greater power and torque than the genuine clutch lining. The performance of clutch B is better than C because the composition of B has 10% more wood powder which cellulose that affects the characteristics of natural fiber composites.
Analyze The Strength of Ceramics Made from Clay, Sinabung Volcanic Ash and Sea Water in The Term of The Structure
Authors: Sembiring E , Bonardo D , Sembiring K , Sitorus Z 
Published: October 2021

Abstract
Ceramics made from clay, Mount Sinabung ash and sea water have been made using the die pressing method. Sinabung clay and ash were sieved through a 200 mesh sieve. Ceramics are printed with a mixture of clay, Sinabung mountain ash and sea water in a ratio of 10:0:0 gr; 10:9:1 gr; 10:8:2 gr; 10:7:3 gr; 10:6:4 grams; 10:5:5 g, etc. Ceramics are sintered with a sintering temperature of 1000 OC with a holding time of 3 hours. Ceramics are characterized by determining physical properties (shrinkage, porosity and density), mechanical properties (compressive strength), surface morphology and pore size (SEM) and XRD. The characterization results show that the optimum value occurs in a mixture of clay, Mount Sinabung ash and seawater at a mixed variation of 10:5:5 gr with a shrinkage value of 31.2%; porosity = 27.16%; density = 2. 09×103 kg/m3 %; compressive strength = 86.66 MPa. Surface morphology (SEM) showed that the optimum variation experienced agglomeration and significant unification of grains occurred and the structure formed was hexagonal with a crystal size of 45.44 nm.
Analysis of Lattice Constants and Error for The Hexagonal Crystal Structure of Silicon Dioxide Using The Cramer-Cohen Method
Authors: Kurniawati N , Wardani D A P , Hariyanto B , Har N P , Darmawan N , Irzaman  
Published: October 2021

Abstract
Has successfully analyzed the lattice constants and the error of the hexagonal crystal structure of silicon dioxide (SiO2) using the Cramer-Cohen method. The peak data for the silicon dioxide material used are secondary data from the ICDD. The Cramer-Cohen method calculations show that the lattice constants are relatively the same as the secondary data from the ICDD, with an average error analysis value of 0,001531805%. This shows that the analysis of the lattice constant and the error of the hexagonal crystal structure of silicon dioxide (SiO2) using the Cramer-Cohen method is very accurate.
Identification 2D Modelling of Subsurface Structure Geothermal Prospect Area by Gravity Method: Case Study in Tanuhi, South Kalimantan
Authors: Nafian M , Permana N R , Anjani A , Gunawan B , Sanjaya L A 
Published: October 2021

Abstract
Geothermal potential in Kalimantan is rare because the island does not have an active volcano. In addition, when viewed from the subsurface structure, Kalimantan Island is in medium-low enthalpy with hot sprung as one of the geothermal potentials, which are generally in the immature water zone. One of the areas is Tanuhi Hot Springs, South Kalimantan. Therefore, this study was conducted to determine the geothermal system of the area using the gravity method. The gravity data processing stage produces the CBA value (Complete Bouguer Anomaly) which is then separated using the Butterworth filter method. Judging from the CBA map, the results of the qualitative interpretation show that the geothermal potential is in a low anomaly with a value of (-19.4 mgal) – (-14. 2 mgal) which is marked in the dark blue. While the results of the quantitative interpretation resulted in the cross-sectional modeling of SW-NE (Southwest – Northeast) and NW-SE (Northwest - Southeast) with a total of 3 layers. The layer consists of granite, clay, and sand mixed with granite. Both models are dominated by sand mixed with granite with the density value at cross-section SW-NE and cross-section NW-SE is the same, namely 2770 kg/m3.
Bayesian Theorem Application to Model Reservoir Facies Distribution on Deltaic Depositional Environment, Case Study of Browse Basin
Authors: Adeyosfi M M , Harris A 
Published: October 2021

Abstract
Successful Hydrocarbon exploration and reservoir characterization always related with good understanding of geology and geophysics aspect. One of the fundamental issues is to get reliable parameter distribution and quantify the confidence level of the parameter model in 3D. The case study in this paper will be applied in Browse field that and the result will be a distribution model in 3D of facies and hydrocarbon fluid. The workflow that will be introduced in this paper is the combination between rock physics analysis, simultaneous seismic inversion and Bayesian estimation theorem. Rock physics analysis includes well log conditioning and correlation analysis between reservoir parameter (porosity, saturation, Vshale, etc) with seismic parameter (acoustic impedance, vp/vs, shear impedance, etc) to obtain facies classification in well log scale. The simultaneous seismic inversion method is used to obtain seismic parameter cube to be correlated with rock physics result to drive the facies distribution. Bayesian estimation theorem assembles initial knowledge about a model before observing the inversion attributes. The probability density function later will be used to drive the facies distribution combined with well log data and seismic data; and also estimate the confidence level distribution in 3D. The result can be used to identify new play in the Browse field.
PT

symmetry and renormalisation in quantum field theory
Authors: Bender Carl M , Felski Alexander , Klevansky Sandra P , Sarkar Sarben 
Published: October 2021

Abstract
Quantum systems governed by non-Hermitian Hamiltonians with

PT

symmetry are special in having real energy eigenvalues bounded below and unitary time evolution. We argue that

PT

symmetry may also be important and present at the level of Hermitian quantum field theories because of the process of renormalisation. In some quantum field theories renormalisation leads to

PT

-symmetric effective Lagrangians. We show how

PT

symmetry may allow interpretations that evade ghosts and instabilities present in an interpretation of the theory within a Hermitian framework. From the study of examples

PT

-symmetric interpretation is naturally built into a path integral formulation of quantum field theory; there is no requirement to calculate explicitly the

PT

norm that occurs in Hamiltonian quantum theory. We discuss examples where

PT

-symmetric field theories emerge from Hermitian field theories due to effects of renormalisation. We also consider the effects of renormalisation on field theories that are non-Hermitian but

PT

-symmetric from the start.
Control of Environmental Pollution by Utilizing Wastes from Industry on Fly Ash Based Geopolymer Concrete
Authors: Ispara Xavier S , Divahar R , Aravind Raj P S , Devi Saran M , Manohar Varsha , Sudhakaran Athul 
Published: October 2021

Abstract
Geo-polymer Concrete is mainly hardened cementitious paste made from fly-ash and alkali solution. It helps to combines waste product into useful product. In this the major point is to investigate the solidity parameters of GPC utilize varying proportions of fly-ash, GGBS & Silica fume in addition to alkali solution (Na-OH and Na2SiO3), which reduces demand of OPC which leads to the emission of CO2 to the environment and to produce a more durable infrastructure. With various advantages of these materials as studied in detail in this project, better strength parameters for Geo-polymer concrete are expected by using varying proportions of Fly-ash, GGBS, Silica-fume along with an alkali solution (NaOH and Na2SiO3) than conventional concrete. Thus, Geo-polymer concrete helps in the complete replacement of Portland cement and act as an environmentally friendly material by the reduction of CO2 emission to the society which leads to control the environmental pollution. It is expected that centralizing over needs & examining in a way that includes a lot of careful detail in this area will help to materialize flue-ash based GPC as a trading & non-polluting material also set the seal on the sustainability of construction.
Smart Battery Management System Using LiFePO4 Battery for Offline UPS
Authors: Anandh B A , Shankar Ganesh A , Sakthivel R , MaheshKumar D , Prem Kumar E 
Published: October 2021

Abstract
Power integrated circuits (ICs) have developed solutions for charging systems and power management system for battery powered devices. The main purpose of a battery management system comprises handling the charging cycle to limit the charging time without focusing on the battery. It also monitors the present status of the battery and reports the fault conditions if any malfunction or error occurs. This system is based on a smart LiFePO4 battery for offline UPS, which is used to power up a home AC application with 230VAC/50Hz. The main reason to select the LiFePO4 battery life cycle, it is made up of non-toxic material and this battery is not overheated or catches fire in case of overcharging or overload. In this system, the Arduino UNO microcontroller is used and it takes care of the parameters like battery charging voltage, charging current, and high voltage cutoff at backup mode. It also monitors the battery voltage, battery current, low voltage cutoff, and overload protection at inverter mode.
Agriculture Cloud System based Emphatic Data Analysis and Crop Yield Prediction Using Hybrid Artificial Intelligence
Authors: Naga Swetha D. , Balaji Savadam 
Published: October 2021

Abstract
In agricultural nations, such as India, where agriculture leads more to India’s Economic growth, it plays a significant part. The prediction of the crop is one of the main tasks in agriculture. Crop prediction methods are employed by detecting different soil parameters and factors connected to the atmosphere for predicting the appropriate crop. The unstable climate exposes farmers to danger in the environment. Therefore the correct history data must be maintained is essential. The data stored may be evaluated to predict agricultural production. In a cloud server, experts analyze sensed data, land type, land, climate, and farmers’ economies with a prediction effect. The method forecasts the use of artificial intelligence algorithms for appropriate crops and fertilizers. A crucial strategy for handling numerous challenges connected to agriculture is the domain of artificial intelligence with its high-quality learning capacity. Technologies to help farmers find better solutions around the world are being created. To benefit from the parallel computational and storage management of huge data sets, the agricultural community must establish an architectural design that would enable the identification of new statistical structures to extract valuable information from data structures. These processes assist to explore the field and different challenges and effectively respond to certain challenges. In the improved integration of diverse data collection types from multiple sources, artificial intelligence offers attractive computing and analytical methods. The main principle of AI and systemic approaches to understanding its use in agriculture are presented in this paper. It also addresses several algorithms for artificial intelligence which may be used to create models to deal with various agricultural problems.
Study on Flexural Behaviour of High-Performance Concrete Beam Strengthened with Polyolefin Fibres
Authors: Yuvashri B. , Sattainathan Sharma A. , Suganya Devi K. 
Published: October 2021

Abstract
This paper investigates the flexural behavior of high-performance concrete beams strengthened with polyolefin fibers. In the recent development in concrete technology, high-performance concrete is designed to give materials, exposure conditions, and applicable requirements of cost, better service life, and durability. The replacement of cement by adding the mineral admixture and chemical admixture to the concrete increases its strength and durability properties. To improve the strength and ductility of High-performance concrete, fibers are added to the concrete. This study focused on the effect of polyolefin fibers on the mechanical and flexural performance of high-performance concrete. Two types of polyolefin fibers at various percentages of 0.1%, 0.2%, 0.3% volume fraction of high-performance concrete. The flexural beams were cast and tested under two-point loading. The addition of fibers increases the first crack load, ultimate load capacity, and ductility. Polyolefin micro and macro fiber performance reinforced high-performance concrete beams compared with experimental and analytical investigation carried out using ANSYS software.
Intelligent model for reservoir operation through data mining-A Case study
Authors: Ramani Bai Gopinath V , Mohan S , Kangadharan G , Chun Kit A , Varadarajan P 
Published: October 2021

Abstract
Classical discrete mathematics could not model complex and uncertain systems effectively. These discrete mathematical equations can be replaced by a method of fuzzy logic systems wherein the operational laws are expressed in linguistic terms. Fuzzy logic means it is the form of knowledge acquisition to be suitable for notions that cannot be defined as precisely as discrete mathematics would do. But it depends upon their context, knowledge acquisition to enable the computerized devices to think like humans. The Matlab was employed to develop the operation model of the Vaigai reservoir which is in South India. Fuzzy logic control was successfully found to be a logical way for mapping between input and output variables of the operation of a reservoir. The objective of the study was to capture the experience gained over past years of operation of the Vaigai system so that the experiential knowledge was made available to the operator for assisting him inefficient management of the reservoir. The data mining helped to develop an improved database for heuristic models such as the non-crisp model for deriving an effective monthly operational policy for Vaigai reservoir.
Role of Machine Learning in Software Project Management
Authors: Mamatha R. , Suma K.G. 
Published: October 2021

Abstract
Monitoring and control project work is both critical and challenging. The greatest asset of any organization is its human resource that ensures the success to achieve the goals and objectives of the company. Managers have to manage and organize the team to enhance productivity. The effective human resource enables their employees to contribute effectively and achieve desired growth of an organization. The assignment of role to a process depends on the skills and competence of an individual. If these details of an individual are known to the manager, then it will an added point to him while assigning a new task. It is observed from the previous study that managers spend a lot of time in allocation which is performed according to the experts experience rather than following some specific criteria which lead to inefficient utilization of the resource available, so if a model is developed and trained using machine learning algorithms to handle this routine task so that the manager can spend time in other developmental activities rather than spending time on routine tasks.
Design and fabrication of drainage cleaning equipment
Authors: Kalyanakumar S. , Praveen R. , Shaji Arun , Diwakar  
Published: October 2021

Abstract
Water could also be variety one necessity of humans and each one residing beings. There is a number of water on the earth but it sincerely is not suitable for human use. Clean water is extra important and is used for a couple of purposes. The impurities observed in water can purpose dangerous diseases. Impurities in drainage water are often like empty bottles, polythene bags, papers etc. House drains empty themselves into the foremost drains which run beneath the foremost streets and beneath many lanes. Solid topics which is perhaps created thru human or animal activities, and which is perhaps disposed of due to the reality they’ll be dangerous or useless are mentioned as sturdy waste. Most of the sturdy wastes, like paper, plastic containers, bottles, cans, or even used motors and virtual gadgets aren’t biodegradable, this suggests that they’re not getting lessened through inorganic or herbal processes. Thus, after they collect they purpose a hazard to people. Decaying wastes moreover enchantment to have circle of relatives pests and convey about metropolis areas becoming unhealthy, dirty and unsightly places to be dwelling in. Moreover, it moreover motives damage to terrestrial organisms on the equal time as moreover reducing the uses of the land for specific extra useful purposes. Therefore, this problem goals immediately remedial measures. These impurities observed in drainage water can purpose blockage or the system.
Stability and second-order lateral stiffness of embedded piles with generalized end-boundary conditions on non-homogeneous soil
Authors: Vega-Posada Carlos A. , Higuita-Villa Jeisson A. , Saldarriaga-Molina Julio C. 
Published: October 2021

Abstract
This paper presents a simplified analytical method to conduct elastic stability and second-order lateral sti˙ness analysis of piles embedded in a two-parameter elastic soil. This work is an extension to a work recently presented by the first author, but here, the emphasis is given to study the e˙ect of end-boundary conditions and soil non-homogeneity on the pile’s buckling load and lateral sti˙ness. The proposed formulation includes the e˙ect of i) semi-rigid connections and lateral transverse springs at the ends of the pile, ii) an external transverse load acting along the pile, iii) soil non-homogeneity, and iv) the second-parameter of the elastic soil. The influence of the modulus of subgrade reaction, degrees of non-homogeneity, and intermediate end-boundary conditions on the pile response are investigated via a parametric study. The proposed solution can be employed to perform either lateral deformation or elastic buckling analysis.
Ceramic metal composite approach for the advanced Hadfield steel
Authors: El-Fawakhry Mohamed Kamal , Salem Islam , El-Amir Ahmed A.M. , Mattar Taha M. 
Published: October 2021

Abstract
This work is aiming at attaining the highest wear abrasion resistance of Hadfield steel, through using ceramic metal matrix approach. The metal matrix composite structure was attained through using honey comb method. Then, microstructure observations, wear abrasion resistance of the metal matrix composite structure were well tracked by using optical microscope, SEM, XRD, and wear test. Comparing with the reference Hadfield steel, it was found that wear abrasion resistance has been multiplied through using ceramic metal matrix composite structure, adding to the great enhancement of strain hardening property. These results refer to the possibility of using this new technique for producing the crusher components to be applied under severe mining conditions.
Numerical study on the thermal performance of high-temperature latent heat packed-bed with a rectangular heat storage unit
Authors: Wang F Q , Xu J , Dong Y , Shi X H , Han H 
Published: October 2021

Abstract
As one of the most effective methods of thermal energy storage, packed-bed (PB) systems using phase change material (PCM) as heat storage media have been vigorously developed. To obtain the thermal performance of brick structure heat storage unit (HSU) in high-temperature latent heat PB, a 3-D PBsystem based on Navier-Stokes equations for heat transfer fluid, phase change model for PCM, and surface-to-surface (S2S) radiation model is established. The idea of changing the geometric structure of the brick HSU is proposed to improve the thermal performance of PB system. The influence of three-dimensional size of carbonate-based composite PCM with brick structure on the thermal performance of high-temperature PB is studied systematically. The numerical analyses show that the influence of three-dimensional size of brick-type HSU in different directions on the thermal performance of the PB system is independent. And the system has a higher energy efficiency (66.5%) and lower heat loss when the width and height of HSU are around 25 mm. The research results can guide the optimization of high-temperature composite PCM PB system.
Application of Fiber Bragg Grating Sensor System for Simulation Detection of the Heart Rate
Authors: Saktioto T , Fadilla F D , Soerbakti Y , Irawan D , Okfalisa  
Published: October 2021

Abstract
Fiber Bragg grating (FBG) is also widely used to detect the heart because it can be received in the form of pressure that results in changes in strain. FBG was chosen because it has a high sensitivity to strain. Heart rate detection can be done in several ways such as using a telescope, but using FBG has a high degree of accuracy and is sensitive to strain. Heart detection is still developing because of the serious problem with human life behavior so that efforts are needed to find other ways to more easily detect the heart. Currently, heart detection can be done without having to go to the hospital, such as by using a cellphone, watch, and others. This study aims to design and measure changes in the output power of FBG and to analyze the effect of strain change on FBG by loudspeaker vibration. The Bragg wavelengths used are 1310 nm and 1550 nm with a power of 1 mW as a diode laser source and the output is measured by an optical power meter. The highest change in output power at a wavelength of 1310 nm Bragg is equal to 0.471 μW, while at a wavelength of 1550 nm it is equal to 0.032 μW. The highest shift of the Bragg wavelength is at the Bragg 1310 nm wavelength, which is 0.598 nm, while the Bragg wavelength of 1550 nm is 0.552 nm. The highest change in strain was at 1310 nm Bragg wavelength valued at 576.186 με, while at 1550 nm Bragg wavelength was 432.113 με. This shows that the response at the Bragg wavelength of 1310 nm is more sensitive than the Bragg wavelength of 1550 nm.
Smart Technologies, Artificial Intelligence, Robotics, and Algorithms (STARA) Competencies During COVID-19: A Confirmatory Factor Analysis using SEM Approach
Authors: Yudiatmaja Wayu Eko , Salomo Roy Valiant , Prasojo Eko 
Published: October 2021

Abstract
Public sector organisations have changed to be online offices and services while the COVID-19 outbreak attacked. The transformations also shift not only the paradigm but also the working methods of public sectors into an online system requiring a capacity to use smart technologies, artificial intelligence, robotics, and algorithms (STARA). Nevertheless, the research on the issue is still rare. This paper bridging the gap by analysing a confirmatory factor of STARA competencies of public employees during COVID-19 pandemic in Indonesia. We tested twelve items that relied on STARA competencies. The research used a survey method on 305 public servants in the Province of Special Region of Jakarta. A structural equation modelling (SEM) was utilised to assess the data. An SEM analysis suggests that the twelve indicators are valid and reliable in predicting STARA competencies' constructs. Our findings may be used by the subsequent researchers in examining STARA competencies.