bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of system information of building code checking in planning and permitting phase to improve building code compliance based on work breakdown structure (WBS) using building information modeling (BIM)
Authors: Yogana Endiq , Latief Yusuf 
Published: April 2021

Abstract

Purpose: Audit of the requirements for construction project regulations in DKI Jakarta is still conducted conventionally (paper and CAD based) which requires a long time, resource intensive, different interpretations of the regulations, the process of revised repetitive, the process of tracking difficult requirements, inaccurate and not transparent, and has significant time and cost implications. Examination of conventional requirements causes that there are still many buildings in DKI Jakarta that have not yet met the technical requirements requested for building completion and public dissatisfaction. Automatic requirements checking is possible when the computer representation of the product data model (Product Data Model (PDM)) is integrated with the Legal Knowledge Model (LKM) as input for data processing systems or machines with algorithmic procedures as Compliant Design Processes (CDP) to produce an accurate automatic regulatory check report. Methodology: The Building Model developed in Building Information Making (BIM) is made as a building representation. The scope of building technical requirements based on BIM is managed dynamically using Work Breakdown Structure (WBS) in one database that is validated by the Government and can be applied by planners in any planning. This research uses the BIM model and develops a WBS-based Information System with a BIM application. Results: The scope of requirements can be managed by decomposition of work known as Work Breakdown Structure to produce a BIM component that will be subject to regulatory requirements checking. The ability of the BIM can produce building models that can be subject to audit of regulatory requirements. Examination of regulatory requirements can be carried out at each stage of developing the BIM model according to the level of detail of the BIM object. Examination of regulatory requirements can be carried out independently by planners at each stage by using a Web-based Information System developed in the BIM format that has been validated by the Government. Applications/Originality/Value: By grouping requirements based on the stages of development of the BIM model, it will maximize the fulfillment of the requirements at each stage so as to reduce the risk of redesign while at the same time increasing the fulfillment of the technical requirements of the building.
Optimization of batch extraction of functional ingredients from stevia leaves with response surface methodology
Authors: Hartini  , Tara Mega Renovasi , Harismah Kun , Fuadi Ahmad Muhamad 
Published: April 2021

Abstract
The aim of the study was to reveal an effective extraction procedure for maximization of the yield of stevioside, flavonoid, and total phenolic compounds as well as antioxidant activity in stevia extract. Extraction was carried out at temperature variations of 75 ÂΩC, 80 ÂΩC, 90 ÂΩC and variations of water solvents 280 mL/g, 290 mL/g, 300 mL/g. Stevioside and flavonoid analysis used spectrophotometer method, while phenol analysis used the Folin-Cioccalteau reagent method. The result is a change in temperature and solvent ratio affect the changes in stevioside, flavonoid, and phenol levels. Optimal conditions of stevioside, flavonoid, and phenol using response surface methodology (RSM) occur at a temperature range of 75 ÂΩC with a solvent ratio of 280-290 mL/g.
Discrete cosine transform and multi class support vector machines for classification cardiac atrial arrhythmia and cardiac normal
Authors: Ratnadewi  , Hangkawidjaja Aan Darmawan , Prijono Agus , Suherman Jo 
Published: April 2021

Abstract
The electrocardiogram signal is the most important analysis to detect cardiac arrhythmia. Machine learning classification is used as a first step to detect someone’s arrhythmia or normal heart. This paper discusses one method for detecting arrhythmia by using digital images of cardiac signals and R-R intervals. The process electrocardiogram digital image is divided into two, first the process of calculating the R-R intervals and second the process of extraction feature using Discrete Cosine Transform, followed by calculating the Euclidean Distance or Cityblock Distance with normal electrocardiogram signal reference. Euclidean Distance results or Cityblock Distance and R-R distance of electrocardiogram signals are then classified using Multiclass Support Vector Machine. The results of accuracy the classification four classes that are cardiac normal, atrial premature beat arrhythmia, atrial flutter arrhythmia, and atrial fibrillation arrhythmia, are 81.9%. The originality is used image to detect cardiac normal or cardiac arrhythmia by combined Discrete Cosine Transform, Euclidean distance or City block distance and Multiclass Support Vector Machine.
Modular Production System Control Using Supervisory Control Theory Method
Authors: Sartika Erwani Merry , Sarjono T.Rudi , Christian Kevin 
Published: April 2021

Abstract
Modular Production System (MPS) is a mini industrial automation process that simulates product processing. MPS uses a Programmable Logic Controller (PLC) to observe and control system processes. The MPS used is the Festo Processing Station which is composed of several components that are numerous and varied so that the control is quite difficult, especially when using a basic PLC program. Therefore, this paper proposes that MPS is classified as a Discrete Event System (DES). The method used to control DES is the Supervisory Control Theory (SCT). MPS is used to process two types of materials (metal and non-metal). The drilling process is carried out only for metal. PLC-based MPS is successfully controlled using the SCT method. MPS with the SCT method can process the material with 100% success. The PLC program using the SCT method can save data memory by 2.3% compared to without SCT.
The rise big data for maintenance roadside greenery (Study the damage tree database in Surakarta, Central Java)
Authors: Indrawati I. , Nurhasan N. , Sari Siti Kartika 
Published: April 2021

Abstract
This research question is ‘how to build the database of trees roadside in Surakarta?’ The reasearch objectives are: (1) Identification of the trees characteristics (type and size); (2) Identification level of the healthy trees, and (3) Trees location. This research used categorized methods by healthy of tree, that is: healthy, little damage, moderate damage and heavy damage. The research location at Jalan Slamet Riyadi, Jalan Jenderal Sudirman and Jalan Urip Sumohardjo at Surakarta City. There are several resuts can be drawn: (1) This research has build a Tree Inventory Application, named SIPPOHON. Through SIPPOHON trees can be inventoryed by the name, type and characteristics. Tree location is integrated in a global positioning system (GPS); (2) The Polyalthia longifolia, Mangifera kemanga, Diospyros blancoi have a strong endurance tree; (3) Pterocarpus indicus, Erythrina, Manilkara kauki, langerstroemia and Casuarina tend to be damaged or unhealthy; (4) Some forms of tree damage are caused by: hollow and hollow trunks; mechanical damage (scratches and cuts that hurt the tree to the cortex); pest attacks that cause the stems to become brittle; swelling of the stem; the partial canopy is dead; trees tilted into the electricity grid; and roots come to the surface. The result of the research are applicaton to manage the green roadside, expecialy: (1) Treatment of pest are needed to prevent the spread of disease; (2) Routine maintenance and monitor the tree condition.
Active layer thickness as a function of soil water content
Authors: Clayton Leah K , Schaefer Kevin , Battaglia Michael J , Bourgeau-Chavez Laura , Chen Jingyi , Chen Richard H , Chen Albert , Bakian-Dogaheh Kazem , Grelik Sarah , Jafarov Elchin , Liu Lin , Michaelides Roger John , Moghaddam Mahta , Parsekian Andrew D , Rocha Adrian V , Schaefer Sean R , Sullivan Taylor , Tabatabaeenejad Alireza , Wang Kang , Wilson Cathy J , Zebker Howard A , Zhang Tingjun , Zhao Yuhuan 
Published: April 2021

Abstract
Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measurements of Soil Moisture and Active Layer Thickness (SMALT) in Alaska and Canada dataset, consisting of thousands of measurements of thaw depth and soil moisture collected at dozens of sites across Alaska and Canada as part of NASA’s Arctic Boreal Vulnerability Experiment (ABoVE). As bulk volumetric water content (VWC) integrated over the entire active layer increases, ALT decreases, supporting the latent heat hypothesis. However, as VWC in the top 12 cm of soil increases, ALT increases, supporting the thermal conductivity hypothesis. Regional temperature variations determine the baseline thaw depth while precipitation may influence the sensitivity of ALT to changes in VWC. Soil latent heat dominates over thermal conductivity in determining ALT, and the effect of bulk VWC on ALT appears consistent across sites.
Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños
Authors: Gómara Iñigo , Rodríguez-Fonseca Belén , Mohino Elsa , Losada Teresa , Polo Irene , Coll Marta 
Published: April 2021

Abstract
Tropical Pacific upwelling-dependent ecosystems are the most productive and variable worldwide, mainly due to the influence of El Niño Southern Oscillation (ENSO). ENSO can be forecasted seasons ahead thanks to assorted climate precursors (local-Pacific processes, pantropical interactions). However, due to observational data scarcity, little is known about the importance of these precursors for marine ecosystem prediction. Previous studies based on Earth System Model simulations forced by observed climate have shown that multiyear predictability of tropical Pacific marine primary productivity is possible. With recently released global marine ecosystem simulations forced by historical climate, full examination of tropical Pacific ecosystem predictability is now feasible. By complementing historical fishing records with marine ecosystem model data, we show herein that equatorial Atlantic sea surface temperatures (SSTs) constitute a valuable predictability source for tropical Pacific fisheries, which can be forecasted over large-scale areas up to three years in advance. A detailed physical-biological mechanism is proposed whereby equatorial Atlantic SSTs influence upwelling of nutrient-rich waters in the tropical Pacific, leading to a bottom-up propagation of the climate-related signal across the marine food web. Our results represent historical and near-future climate conditions and provide a useful springboard for implementing a marine ecosystem prediction system in the tropical Pacific.
An intervention study of the rural elderly for improving exposure, risk perception and behavioral responses under high temperature
Authors: Lou Jianing , Ban Jie , Zhang Ting , Wang Peng , Wu Yangyang , Huang Lei , Li Tiantian , Bi Jun 
Published: April 2021

Abstract
The frequency and intensity of high-temperature events continue to increase, resulting in a surge of pathogenicity and mortality. People with low levels of risk perception and adaptability, such as the elderly, suffer more from high temperatures. Effective intervention measures may lead to reduced levels of high temperature-related risk. The purpose of this study was to compare changes in temperature exposure, risk perception and coping behaviors under different intervention methods. Herein we conducted three different interventions including education, subsidies for electricity and uses of spray-cooling appliances as well as collected data about temperature exposure, risk perception, and coping behaviors. Before and after the experiment, we evaluated the intervention effectiveness with a number of variables related to alerting human responses under high temperatures. We conducted nonparametric tests for paired samples and generalized linear mixed effect models. Compared with subsidy support and outdoor spray-cooling methods, education is more effective as it leads to lower levels of temperature exposure, higher levels of risk perception, and more behavioral responses. The subsidy support intervention is useful in increasing risk perception and promoting home cooling practices as well. In comparison, spray cooling barely contributes to the reduction of personal temperature exposure. The encouragement of risk-related education and continued government subsidy may prevent elderly individuals from experiencing high-temperature exposure.
Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models
Authors: Devitt Laura , Neal Jeffrey , Wagener Thorsten , Coxon Gemma 
Published: April 2021

Abstract
The growing worldwide impact of flood events has motivated the development and application of global flood hazard models (GFHMs). These models have become useful tools for flood risk assessment and management, especially in regions where little local hazard information is available. One of the key uncertainties associated with GFHMs is the estimation of extreme flood magnitudes to generate flood hazard maps. In this study, the 1-in-100 year flood (Q100) magnitude was estimated using flow outputs from four global hydrological models (GHMs) and two global flood frequency analysis datasets for 1350 gauges across the conterminous US. The annual maximum flows of the observed and modelled timeseries of streamflow were bootstrapped to evaluate the sensitivity of the underlying data to extrapolation. Results show that there are clear spatial patterns of bias associated with each method. GHMs show a general tendency to overpredict Western US gauges and underpredict Eastern US gauges. The GloFAS and HYPE models underpredict Q100 by more than 25% in 68% and 52% of gauges, respectively. The PCR-GLOBWB and CaMa-Flood models overestimate Q100 by more than 25% at 60% and 65% of gauges in West and Central US, respectively. The global frequency analysis datasets have spatial variabilities that differ from the GHMs. We found that river basin area and topographic elevation explain some of the spatial variability in predictive performance found in this study. However, there is no single model or method that performs best everywhere, and therefore we recommend a weighted ensemble of predictions of extreme flood magnitudes should be used for large-scale flood hazard assessment.
An Analysis of the Application of Energy Storage Technology in Power Systems
Authors: Li Guosheng 
Published: April 2021

Abstract
With the rapid development of China’s economy, the coverage area of China’s power grid is expanding, and users have higher requirements for the quality and reliability of electrical energy. And the development of energy storage technology has improved the stability of power system operation, voltage and frequency regulation, load compensation, and also injected new development ideas into the planning and design of power systems, manufacturing control, etc. Energy storage technology occupies a very important position in the power system, the needs of its power system so as to enhance the availability of renewable energy and ensure that the power system can operate safely and stably. This paper provides further analysis and discussion on the application of energy storage technology in power systems.
Structural Parameter Analysis of Self-Tightening Metal U-Shaped Seal Ring
Authors: Cheng Tianfu , Li Shuangxi 
Published: April 2021

Abstract
The effects of different structural parameters on the sealing performance of self-tightening metal U-shaped seal rings were studied. A two-dimensional axisymmetric model of a self-tightening U-shaped seal ring was established using finite element software. The influence of structural parameters such as side wall thickness, bottom wall thickness and boss radius on the sealing performance of the seal ring was analyzed by the control variable method. The results show that as the thickness of the side wall increases, the stress shows a downward parabolic trend, which is the smallest at 0.55 to 0.65 mm; as the bottom wall thickness increases, the stress first increases steadily, and then decreases slowly after 0.8 to 0.9 mm; When the inclination angle is from 0 to 9 °, the sealing ring can obtain better sealing performance. The results have guiding significance for the design, optimization and application of subsequent seal ring structures.
Numerical analysis of magnetic grease seal pole teeth optimization based on pressure bearing capacity
Authors: Shuwen-Li  , Rao-Zheng  , Qiuxiang-Zhang  , Shuangxi-Li  
Published: April 2021

Abstract
The static magnetic field model of the magnetic grease seal was established by the nonlinear magnetic field finite element method. The influence of three typical pole teeth with different seal gaps, namely rectangular teeth, single-side trapezoid, and symmetrical teeth, on pressure bearing capacity was analyzed. The results show that the maximum pressure bearing capacity of the optimized structure is from large to small: symmetric trapezoid teeth, single-sided trapezoid teeth, rectangular teeth. The seal gap increased by 0.1 mm and pressure bearing capacity decreased by 12 %. If the teeth width was doubled, the pressure bearing capacity can be increased by 17.8%, with an optimum range of 1.8 mm to 2.2 mm. The interval length of the teeth doubled, the pressure bearing capacity increased by 30.65 %, and the optimum range for the interval length of the teeth was 1.8 mm to 2.0 mm. There was no significant correlation between teeth height and pressure bearing capacity. The study on the optimization of the teeth structure based on pressure bearing capacity could provide a reference for technical personnel to improve the efficiency and rationality of the design of the teeth for the sealing of the magnetic grease.
Study on the Influence of High Temperature and High Speed Working Conditions on the Leakage Characteristics of Flexible Bristle Brush Seal
Authors: Ma Y H , Li S X , Zhang S Y , Liao H R , Sha L X 
Published: April 2021

Abstract
Compared with the metal bristles, the flexible bristles can reduce the heat and wear caused by the friction between the bristles bundle and the rotor, and improve the working stability and working life of the brush seal. In this paper, the L-shaped numerical mode is established to analyze leakage characteristics of flexible bristle brush seal. The flow field of brush seal is analyzed, and the effects of differential pressure, rotating speed and temperature on the leakage rate were studied as well. The leakage rate of the flexible bristles brush seal under different pressure and rotating speed was measured and compared with the numerical results. The results show that: Pressure drop mainly occurred in bristles pack; Small pressure difference, high temperature and high speed can improve the sealing performance, which, shows that the flexible bristles brush seal can well adapt to high temperature and high speed conditions; The leakage rate after running-in is slightly lower than that before running-in, and has better sealing performance, and the brush bristles arrangement is complete and tight after test, indicating that the flexible bristle brush seal has the ability of lasting and stable seal; The error between experimental results and numerical simulation results is less than 10%, and the variation trend is consistent, confirming the accuracy of the leakage rate obtained by numerical simulation.
Design method and research of high temperature gas floating ring seal with slightly variable gap
Authors: Shi Ren-jie , Li Shuang-xi , Zhen Rao , Ma Li-jun , Zhang Jing-bo 
Published: April 2021

Abstract
The problem of seal failure caused by rubbing between floating ring and shaft directly affects the actual production efficiency. In this paper, the mathematical model of floating ring seal was established, the expression of seal clearance under the working condition of floating ring was calculated, and the design method of “slightly variable gap” gas floating ring was proposed. The finite element model was established by using Workbench, and the correctness of the mathematical model was verified. The results show that the ideal insert ring material calculated by the “slightly variable gap” design method can keep the working clearance of floating ring seal stable. In practical application, the insert ring with the same material as the axle runway can also be selected to achieve a more stable working clearance. The design method can avoid the rubbing between the runway and the inside of the floating ring under harsh conditions.
Performance Analysis and Optimization of Internal Spiral Groove Dry Gas Seal Based on Fluid-solid-thermal Coupling Method
Authors: Li S X , Liao H R , Zheng R , Li S C , Ma Y H , Chen K Y 
Published: April 2021

Abstract
Internal spiral groove dry gas seal (ISGDGS) are used to seal special positions of rotating machinery. There is an urgent need to address the problems caused by contacting of rotating and static rings during high-speed rotation of ISGDGS. The main aim of this study is to investigate the influence of spiral groove structural parameters on ISGDGS sealing performance. Fluid-solid-thermal coupling method was used to analysis the relationship of sealing performance (opening force, leakage, friction power, and gas film stiffness) and spiral-groove structural parameters. The test analysis method is used to study the sealing performance under four different structural parameters, and the obtained trends are the same as the analysis results. According to the analysis results, the value range of structural parameters for optimal sealing performance is proposed This thesis has provided a deeper insight into the influence of the structural parameters of end face on the sealing performance, and provides a basis for its optimal design.
Bifurcation Characteristics of Airfoil-NESs coupled System
Authors: Zhang Wenfan , Zhou Genbiao , Zhou Yafeng , Wang Lei , Zhang Jiazhong 
Published: April 2021

Abstract
Aeroelastic instability has become a hot research topic. It has increasingly high-lighted its importance in the aircraft and fluid machinery industry and brings challenges to the safe flight of various aircraft and the safe operation of fluid machinery. Numerical simulations were performed to study the flow-induced oscillation of a two-dimensional airfoil with two non-linear energy sinks (NES). The main system has two degrees of freedom-pitch and heave. These two NESs are considered as subsystems, with the first NES at the leading edge and the second NES at the trailing edge. The bifurcation behaviour and the mechanism of the system leading to chaos of the coupled system under different parameters and initial conditions is studied by nonlinear analysis, and the relationship between large amplitude limit cycle oscillation and the chaotic occurrence point of the main system is revealed, this corresponding relationship has important theoretical significance for mastering and adjusting system parameters to make NES work within its ideal oscillation suppression parameters.