bluuebunny/crossref_metadata_2025_split huggingface dataset:
HunShanDaKe sand east edge of vegetation ecological niche and interspecific association studies
Authors: Ma Y X , Wang Y L , Li G T , Liang T Y , Zou M , Yan J Q Z , Ma H 
Published: October 2019

Abstract
Plant communities show some kind of interspecific relationship and different niche characteristics through the sharing and competition of resources in the living environment, which is of great significance for interpreting the response mechanism of vegetation to the environment. This study analyzes the niche breadth, niche overlap, and interspecific relationships of plant species in the study area by using ecological statistics. Although there are certain correlations among the species in the Hunshandake Sandy Land, the relationship is relatively loose and the whole is in an unstable stage; the plants with relatively wide niche under three types of site types in the eastern margin of the Hunshandake Sandy Land The species are Quercus mongolica (Betula platyphylla), Malus baccata + Spiraea pubescens, Ribes diacanthum (Ostryopsis davidiana) of the leeward slope; Ulmus pumila+ Ribes diacanthum and Siberian apricot (Ribes pulchellum ) on the windward slope; Ulmus pumila and Malus baccata + Spiraea trilobata, Rosa davurica (Kochia prostrata) on the hilly land. The combination of the leeward slope niche overlap is Betula platyphylla and Malus baccata + Spiraea pubescens, Ostryopsis davidiana; Ulmus pumila + Ribes pulchellum, Kochia prostrata on the windward slope; the hilly land for Malus baccata, Ulmus pumila + Spiraea trilobata.
Validation of wind turbine wake environment modelling
Authors: Chen Q , Zhang X 
Published: October 2019

Abstract
The widely used wake environment models in engineering are validated according to wind tunnel experiment in this paper, namely the Jensen wake model, Frandsen wake model, the Larsen wake model and simplified vortex wake model. From the validation results, it can be found that the wake expansion are overestimated, namely the expansion efficient still needs to be further investigated. In Jensen and Frandsen models, the assumption of uniform distribution of wake speeds along radius differs from the experimental data, with low precision. The wake speed with an approximate Gaussian distribution adopted by Larsen model improves the accuracy. But for all these wake models, due to the overestimation of wake expansion, the wake profiles are definitely calculated with error, thereby lowering the precision of power prediction of wind farms. It is suggested that these models needs to be improved based on more measurement/experimental data.
An interval energy-water nexus planning model for electric power planning
Authors: Zhao D , Li Y P , Liu J , Fu H Y 
Published: October 2019

Abstract
Reasonable energy planning plays a vital role in urban development and even the development of the whole national economy. Energy planning is an important way to solve the problems of resources and environment, promote energy conservation and emission reduction, and ensure the sustainable development of cities. Taking Xiamen City as an example, this paper uses the method of interval linear programming, aiming at minimizing the total cost of the system, and taking energy availability, water resources availability, energy demand and pollutant discharge as constraints, establishes an optimization scheme that conforms to the characteristics of Xiamen’s energy system. The research results show that the clean energy utilization technology should be improved to further increase the development and utilization of local renewable energy, and diversify the power supply methods to achieve safe, economic, clean and good urban development.
Power Management System Based on Virtual Power Plant
Authors: Chen Xiaofeng , Yang Guanlu , Lv Yajing , Huang Zehong 
Published: October 2019

Abstract
In recent years, the temperature-controlled load capacity has increased rapidly in China, and it has also brought huge regulatory potential. In order to effectively dispatch and manage a large number of demand response resources, this paper studies the energy efficiency management system based on virtual power plant based on demand response technology and virtual power plant theory, and effectively uses the management system to temperature. Collecting and controlling the power parameters of the load-control resources, making full use of the potential for reducing the demand side load, to achieve the “shift peak filling” of electricity, which is conducive to alleviating the contradiction between power supply and demand and ensuring the safe and stable operation of the power grid.
Distribution of Soil Erodibility K Value in Gansu Province Based on Positioning Monitoring Data
Authors: Ye YANG , Song-lin ZHANG , Lei WANG 
Published: October 2019

Abstract
This paper explored the spatial distribution characteristics of soil erodibility K value in Gansu Province by using the calculation model of soil erodibility factor. The influencing factors of the K value was analysed by traditional statistics and geostatistics. The located monitoring data of the natural ecological station was supported by China Ecological Research Network. The following conclusions could be obtained according to this study: (1) The average soil erodibility K of Gansu Province was 0.331 t·hm2·h/(hm2·MJ·mm). (2) Gansu Province were mainly medium-high and high erosion areas. (3) The organic matter, rainfall, slope and elevation could influence K value. The rainfall and organic matter content were negatively correlated to the K value. And the slope and elevation have the law of inverted U-shaped distribution with the K value.
Terrain numerical simulation based on RANS/LES hybrid turbulence model
Authors: Xiegui Lu , Qiuhua Chen , Changzhao Qian , Changping Chen 
Published: October 2019

Abstract
Based on the computational fluid dynamics (CFD) method, the terrain of 2 km near the proposed humanoid landscape bridge in Xiamen is taken as the research object. Firstly, the three-dimensional topographic map is established. Because the selected terrain is relatively flat, the bridge area is adopted in the form of spline curve. The boundary is extended, and the exponential rate of wind speed boundary conditions is applied to the boundary to avoid non-0m/s wind speed from the inflow near wall boundary. The RANS/LES hybrid mode is used to numerically analyze the external flow field of the terrain. The K - ε - v2
turbulence model of the three equations is used as the RANS part of the RANS/LES hybrid turbulence model. According to the Boussinesq hypothesis and dimension-analysis, the differential form equations of V
2 are rationally simplified, and the algebraic form of the normal stress equation of V
2 and the new turbulent viscosity equation are obtained and written into FLUENT in UDF form. By comparing and analyzing the standard K -ε turbulence model and the SSTκ-ε
turbulence model, the wind speed amplification factor and the variation law of wind parameters along the height are studied, and the canyon effect and the reduction effect of the wind field are discussed. The results show that under the same calculation conditions, the mixed turbulence model can accurately reflect the change of airflow in the near-wall wall, and more accurately capture the wind field away from the bridge near the wall.
Directional information coupling dynamics in complex climate system
Authors: Yuan LH , Zhong YJ 
Published: October 2019

Abstract
Climate change has been significantly disturbing the dynamics of different earth system components, such as land surface and ocean, as well as the interactive relationship between different components. Here we aim to investigate the sea surface temperature dynamics and its remote connection to the precipitation patterns. Previous efforts on the remote ocean-land remote coupling are mostly relied on linear based statistical inference framework, disregarding the nonlinearity of the earth system dynamics. Here we apply a new inference framework that fully adapts to nonlinear system to quantify the coupling strength between Atlantic Oceanic temperature signals (AMO index) and US precipitation patterns. We found that the linear based coupling patterns are significantly different from the nonlinear based coupling patterns, which provides important insights into the system nonlinearity. We also conduct uncertainty analysis to quantify the estimated coupling strength uncertainty and discuss the robustness of the climate coupling between AMO and US precipitation.
Study on Preparation Conditions of Electrolyzed Reduced Alkaline Water
Authors: Jing liuxin , Chen mengliang , Cai Huaiyu 
Published: October 2019

Abstract
In this study, the preparation conditions (electrolytic voltage, electrode interval and electrolysis time) of electrolyzed reduced alkaline water were optimized. Results show that electrolytic time, electrolytic voltage and electrode interval could influence the water quality of the electrolyzed reduced alkaline water. More electrolysis time, higher of electrolytic voltage, and smaller electrode interval resulted in higher water pH value. More electrolysis time, higher electrolytic voltage, and larger electrode interval resulted in lower water ORP value. The optimum condition for preparation of weak alkaline primary water is 10v electrolytic voltage, 15 mm interval of electrodes and 2 min electrolysis time.
Development of Natural Facial Mask for Skincare from Local Materials
Authors: Siri Channarong , Wattanutchariya Wassanai 
Published: October 2019

Abstract
This research aims to develop a natural facial mask from local materials. The latter are natural materials which could be found locally. In this study, we have selected local materials such as silk fibroin, mulberry, and chitosan. Silk fibroin is active ingredient in the prototype because of its high antioxidant activity. On the other hand, the mulberry extract is antioxidant and antibacterial activity in the facial mask. In the meantime, chitosan could be extracted from local materials such as squid pen and shrimp shells. Chitosan was chosen to be material of the facial mask to nourish good mechanical properties of the mask’s structure. The research has developed the natural facial mask with the product design technique. Also, this study integrates consumer’s requirements and quality function deployment (QFD) to transform consumer’s needs into technical design specifications. The result show that the consumer’s requirements which obtain high score are certification standard, ability to release substances, and skin adhesion. Therefore, consumer’s preferences and technical specifications helped to achieve the prototype. The prototype was developed and evaluated according to consumer’s satisfactions. The result of consumer satisfactions is natural products and skin adhesion. Nevertheless, consumers suggest further improvement in term of color, odor, thickness, and durability of the product.
A study on determination of optimum gear ratios of a worm -helical gearbox
Authors: Pi Vu Ngoc , Thi Hong Tran , Hung Le Xuan , Anh Tung Luu , Khac Tuan Nguyen 
Published: October 2019

Abstract
This paper introduces a new study on the optimum calculation of the gear ratios of a worm-helical gearbox. For finding the gear ratios, the cross section area of the gearbox was chosen as the objective function of the optimization problem. Moreover, the influence of the input parameters including the total gearbox ratio, the allowable contact stress and the wheel face width coefficient of the helical gear set, the output torque was investigated. For evaluation of the influence of these parameters on the optimum gear ratios, an “experiment” was designed and a computer program was built for performing the “experiment”. In addition, models for determining the optimum gear ratios of the gearbox were proposed. Based on those models, the gear ratios can achieve high accuracy with simplification.
Determining optimal partial transmission ratios of mechanical driven systems using a V-belt drive and a two-stage helical reducer
Authors: Pi Vu Ngoc , Thi Hong Tran , Hung Le Xuan 
Published: October 2019

Abstract
This article introduces a study on the optimal calculation of partial transmission ratios of mechanical drive systems using a V-belt drive and a two-stage helical reducer. In the study, the dimension of the cross section of the system was chosen as the objective function of the optimization problem. Also, the design equation for pitting resistance of a gear set was investigated and equations on moment equilibrium condition of a mechanic system including a V-belt drive and a two-stage helical reducer and their regular resistance condition were analyses. From the results of the study, models for determining the optimal partial ratios of the V-belt drive and two stages of the reducer were proposed. Using these models, the partial ratios can be calculated accurately and simply.
Lubrication performance of conical spiral-groove bearings with rough surfaces
Authors: Zhang Shaowen , Lin Shengye 
Published: October 2019

Abstract
A mixed lubrication model of conical spiral-groove bearings is established by integrating partial fluid lubrication theory and G-W statistical theory. Considering the effect of bearing surface roughness, the equivalent average Reynolds equation is derived based on average flow model, which is solved by boundary fitted coordinate system and finite difference method. The G-W contact model is used to calculate the axial force and friction force produced by the contact of multi asperities. The coefficients of friction are calculated and measured under different rotational speed and the theoretical results are in accordance with the test results. The results show that comparing with bearings with deep groove, ones with shallower groove have lower transition speed and lower friction coefficient at low speeds.
Prospects for using the Bayes algorithm for assessing the technical condition of internal combustion engines
Authors: Khaliullin Farit Kh. , Matyashin Alexander V. , Akhmetzyanov Rishat R. , Medvedev Vladimir M. , Lushnov Maxim A. 
Published: October 2019

Abstract
Appropriate assessment of the technical condition of internal combustion engines allows determining optimal values for standards of their technical operation, adjusting the parameters of maintenance and repair process operations, and, as a result, reducing the cost of their effective operation. The article is devoted to the use of the Bayes algorithm for assessing the technical condition of internal combustion engines. This algorithm allows using statistical data on repair and maintenance of internal combustion engines, wherein the missing information is determined by the dynamic systems modeling method. The choice of transitional functions of constituent elements of internal combustion engines as diagnostic parameters increases the reliability of obtained results.
EMG control of a 3D printed myo electric prosthetic hand
Authors: Farooq U , Ghani U , Usama S A , Neelum Y S 
Published: October 2019

Abstract
Recent technological advances have enabled the prosthetic developers to derive an ideal replacement for the human arm in near future. This research presents design of a 3D Printed Myo Electric Prosthetic Hand that grasp symmetrical objects through Electromyographic signals and is intended for people suffering from Trans-radial Amputation. In the current study, a set of data about three motions that include hand open, close and rest position was been acquired from forearm muscles of a human arm. The computer aided model of the prosthetic hand was developed in SolidWorks® which was later 3D printed using Poly Lactic Acid (PLA).The proposed design was based closely on tendon actuation, related to human hand functionality. Signal acquisition and processing has been done using Myo Armband. Different features were selected such that they can be passed through classification process in order to control the hand motions. Using the Bluetooth transmitter, the filtered data was sent and saved in Arduino Uno® controller. Later, the Support Vector Machine (SVM) was been evaluated as a classifier. The classification accuracy obtained from SVM was 96.7%. The results were found significant (p<0.01) for twelve able bodied subjects. EMG based grasp control was implemented with successful testing of designed prosthetic hand for three different motions. The practical effectiveness of the Myoelectric Hand was demonstrated by grasping household objects such battery charger, wallet and water bottle.
A hybrid process planning for energy-efficient machining: Application of predictive analytics
Authors: Shin S-J 
Published: October 2019

Abstract
Computer-aided process planning for energy-efficient machining is essential as energy consumption becomes a major environmental metric in the metal cutting industry. This paper introduces a process planning approach that enables energy prediction in the process planning phase through incorporating Generative Process Planning (GPP) and Variant Process Planning (VPP), called Hybrid Process Planning. GPP is used to provide decision making algorithms in computers by generating energy prediction models specific for machining conditions. VPP is adopted to reuse existing process plans with inclusion of such prediction models so that process planners can anticipate the energy values to be consumed in machine tools. Particularly, the present approach builds upon predictive analytics to efficiently handle sensor-level data collected from real machining operations, and create energy prediction models by using a machine-learning technique.
Supplier selection for hospital medical equipment using fuzzy multicriteria decision making approach
Authors: Khumpang Pattareeya , Arunyanart Sirawadee 
Published: October 2019

Abstract
Medical equipment is important in the healthcare service system and plays a major role in global markets. Meanwhile, selection of suitable medical equipment supplier is also essential because medical equipment relates to the patient’s life. Moreover, there are several qualitative and quantitative evaluation factors that may be conflicting in nature while assessing optimum supplier among several alternatives. This study has objectives to discover the criteria for selection of appropriate medical equipment suppliers and to illustrate methods for selection of a suitable medical equipment supplier. The ROC (Rank Order Centroid) method was applied to determine the weight of each criterion. Fuzzy TOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) was used to select the optimal supplier. A case study was chosen concerning a hospital in the northeast of Thailand. Findings indicated the main criteria for consideration of supplier selection as quality, price, reliability, agility, compliance, service, benefits/bargaining, and transport/delivery and the results showed that out of five candidates, supplier A was the optimal choice.
Determinants of Port Performance – Case Study of Five Major Container Ports in Myanmar
Authors: Paing Wai Phyo , Prabnasak Jaruwit 
Published: October 2019

AbstractContainer ports are playing a pivotal role in facilitating global logistics and supply chains. Therefore, their performance and overall competitiveness must be improved in order to retain shipping lines and shippers. This study aims to analyze the relationship between container throughput (Twenty-Foot Equivalent Unit (TEU) per year) and other important Key Performance Indicators (KPIs). This analysis can help the Myanma Port Authority (MPA) and container port operators in the country to identify which KPIs are essential for monitoring and improving their performance. The Data used in this study was collected from five major Myanmar container ports under the authority of the MPA for the period 2010-2015. This study employed a quantitative analysis method by applying a regression modelling technique. As a result, it is concluded that container throughput is influenced only by some KPIs namely total berth length and the total numbers of ship calls per year.
Performance Evaluation of Hard Drive Sorting Systems Using Discrete-Event Simulation
Authors: Wongnibunkit Surached , Pichitlamken Juta , Suebsakul Suwiwat 
Published: October 2019

Abstract
We propose an approach for enhancing the throughput level and decreasing the throughput time of the hard disk drive sorting department that are congested and inefficient. We model the hard disk drive sorting department with discrete-event simulation on Arena. The proposed automated loop conveyor system can reduce the waiting time, the work-in-process and the time in system by 74.78%, 85.09% and 96.85%, respectively when comparing with the current sorting system.
International Freight Transportation Problems Under GMS-CBTA: Case Study of Thailand-Cambodia
Authors: Uttamapurna Pratan , Prabnasak Jaruwit , Tiyarattanachai Ronnachai 
Published: October 2019

Abstract
The governments of Thailand and Cambodia have enacted a policy under the GMS agreement to facilitate and increase trade and transport capacity. One of the key components is to improve land transport performance on the designated routes between Bangkok and Phnom Penh under the GMS-CBTA. However, the policy has not been considered effective as expected because licensed logistic companies still do not use that privilege. They also use the traditional method in which cargo is transhipped by local trucks at the borderline. In light of the problem, this study systematically investigated the root causes of the agreement ineffectiveness. Some recommendations for improving the performance of operation are given.
Preliminary Study of Epoxy Coating Process on Basketry Inlay with 3D Printed Model
Authors: Chotiprayanakul Pholchai , Noda Atsushi 
Published: October 2019

Abstract
In Japan and South-East Asia Countries, Basketry is a heritage handcraft made with natural material such as bamboo strip and wheat straw. Shape and size of basketry products are depended on the basketry pattern and now FDM (Fused Deposition Modelling) 3D printer is used to a print the basketry pattern. This paper will present a bit further in epoxy coating on basketry products to make it more rigid and better shining appearance either while the coated basketry still have the 3D printing model inside as a structure or it will be taken off after coating epoxy. There are a lot of makers who try to use the 3D printed model for resin casting mold but many are fail to get the casted out of the 3D printed mold. Thus we do this preliminary study to investigate the adhesive strength of the casting epoxy resin holding on the 3D FDM printed model. An experiment was designed to find the effect of the curing time and the bamboo fiber adding for resin reinforce. In experiment, a flat dog-bone shape specimen for tensile testing is redesigned by separating into 2 identical parts and they are printed with ABS plastic filament. We glue epoxy resin on 12.5 X 10 mm. contact area in middle of the specimen. We left them cure and dry for 6, 12, and 24 hours before tensile testing then repeat the experiment again with bamboo strip added in between the contact area. The result of the experiment shows that bamboo strip reinforce and curing time affect the adhesive strength.