bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality control of small pelagic fish stocks in distribution line in Ambon and Kei Kecil, Maluku
Authors: Savitri I K E , Apituley Y M T N , Bawole D , Tuapetel F
Published: October 2019

Fish is very perishable, soon after caught and death, deterioration took place quickly especially in a high-temperature environment. Quality control is a necessity to keep the freshness of fish and the prime nutritional quality. In this study interview and observation were done on the focus group to investigate quality control activities carried out by the artisanal fisher community. In many places in Maluku, small pelagic fish caught by using purse seine net. The fishing ground is relatively close to the landing site at the coastal area and landed in 1-2 hours after death. Shortly after landed ice treating is applied on the fishes with the ratio of ice to fish roughly 1:2 and also a small amount of clean sea water added onto the fish-ice mixture in order to chilling fish and keep it fresh. Most fish are transported to the central market in town by using cars which takes one to two hours, and the rest taken by the small retailers and distribute to the closest markets in the village. If lots of fish harvested, some retailers will sell it on foot from house to house. The small-scale fishermen and retailers know very well the necessity of maintaining the freshness of fish, so it will be in good quality when delivered the consumer hands and the high price.
Mineral contents in flesh of abalone Haliotis squamata fed with different live feeds
Authors: Latuihamallo M , Sahetapy J M F , Manuputty G D
Published: October 2019

Mineral contents in flesh of abalone Haliotis squamata were analyzed by using Atomic Absorption Spectrophotometer method. Samples of abalone Haliotis squamata used in this research were treated by three types of live feed, i.e. Gracillaria sp., Ulva sp., and mix of Gracillaria sp. and Ulva sp. Flesh of abalone H. squamata contained of some mineral i.e. K, Ca, Mn, Zn, Fe, Cu, Hg, and Mg. In the flesh of abalone H. squamata fed with those feeds, K had the highest value followed by Mg while the lowest was Cu. In food, Ulva sp contain the highest K followed by Ca with the lowest was Cu. In contrast, Ca had the highest value in Gracillaria sp followed by Mg while the lowest was Cu.
Quality characteristic of dried anchovy (Stollephorus sp) produced by using solar dryer equipment as the traditional method development
Authors: Savitri I K E , Sormin R B D
Published: October 2019

Dried anchovy is a prospecting product from Buru Island Maluku which is produced traditionally by spreading on the ground under the sun with a used net as a base. Effort to develop that method is needed to meet the increasingly stringent standard of sanitation and hygiene food products, especially for modern and export markets. Three types of solar drying equipment as the traditional method development were applied to produce dried anchovy and the product characteristic was investigated. The two enclosed solar dryers walled and roofed using plastic with multilevel racks and drying space forms a tunnel dryer system. One of them using transparent plastic and another using blue plastic. The third equipment is “para-para” (local called for bamboo or wood arranged side by side horizontally with an altitude roughly 1.25 meter above the ground) roofed using blue tarpaulin plastic. The characteristics of dried anchovy produced by using solar dryer equipment are better than traditional drying method product, especially organoleptic, insoluble acid ash content and total bacterial. Dried anchovy with the better quality characteristic will be reach the wider distribution and higher segment market.
Taxonomic structure of phytoplankton in Shershnevskoe Reservoir (Chelyabinsk, Russia), an artificial lake
Authors: Kostryukova A M , Mashkova I V , Trofimenko V V , Vasilieva E I
Published: October 2019

Shershnevskoe Reservoir is the main source of water supply of the Chelyabinsk city (South Ural, Russia). It is an artificial reservoir, filled in 1963-1969. The water protection zone of the Shershnevskoe Reservoir is subject to significant anthropogenic impact. Variations in phytoplankton community composition in the artificial waters are still poorly understood. The purpose of this work is to study the changes in the composition of phytoplankton that have occurred since the creation of the reservoir. Identified taxa (381) of the phytoplanktonic community in 1965-1985 are as follows: 150 Chlorophyta, 123 Bacillariophyta, 69 Cyanophyta, 25 Euglenophyta, 6 Chrysophyta, 6 Xantophyta, 1 Dinophyta and 1 Cryptophyta. Identified taxa (134) of the phytoplanktonic community in 2004-2017 are as follows: 67 Chlorophyta, 26 Bacillariophyta, 25 Cyanophyta, 9 Euglenophyta, 4 Chrysophyta, 2 Xantophyta and 1 Dinophyta. The dominants were blue-green algae. The presence of Cyanobacteria as the dominant complex indicates a high degree of eutrophication of the reservoir. The following species were dominant until 2014-2015 Aphanizomenon flosaquae Ralfs ex Bornet & Flahault, Snowella lacustris (Chodat) Komárek & Hindák and Microcystis aeruginosa (Kützing) Kützing, but after 2014-2015 it is Planktothrix agardhii (Gomont) Anagnostidis & Komárek. Over the fifty years of the existence of the Shershnevskoe Reservoir, its ecological state has passed from a long-term sustainable mesotrophic to a eutrophic one.
Assessing Gene Expression Programming as a technique for seasonal streamflow prediction: A case study of NSW
Authors: Esha R I , Imteaz M A , Nazari A
Published: October 2019

This research aims to provide long term streamflow forecast models using multiple climate indices as the predictors with the help of an advanced evolutionary method, Gene Expression Programming (GEP) to solve the developed symbolic regression problems as it is found to be superior than other traditional methods. Being a transparent model, GEP is able to provide the relationship between input (climate indices) and output (streamflow) variables with mathematical expressions which help the users to understand the underlying hydrological process between the climate mode and streamflow without having much knowledge about the used software. Two stations of New South Wales (NSW) are chosen based on their longer data record and fewer missing values. Several preliminary researches including single and multiple correlation analyses reveal PDO (Pacific Decadal Oscillation), IPO (Inter Decadal Pacific Oscillation), IOD (Indian Ocean Dipole) and ENSO (El Nino Southern Oscillation) are few among the influential indices on the study region. The resultant models appear to be more efficient with up to 50% higher Pearson correlation (r) values than that of the simple MLR technique adapted in one of our previous studies. Furthermore, the statistical performance analyses including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Willmott index of agreement (d) and Nash-Sutcliffe efficiency (NSE) ensure high predictability of the developed models. The similar correlation values (r) generated from calibration and validation periods which ranges between 0.74 and 0.91 increase the reliability of the resultant models for predicting seasonal streamflow up to three months in advance.
A mathematical programming model for the recycling of sustainable food waste
Authors: Lin H , Huang B
Published: October 2019

Food waste is a primary component of municipal solid waste (MSW), which can be recycled or disposed of depending on how it has been treated. The cost and environmental impact of treating food waste are common concerns of local authorities. In this study, a mathematical model is presented which is designed to assist local authorities in determining the treatment plan. In addition to data of waste generation and treatment capacity, the level of local demand for recycled products is also included in the developed model. With the use of the proposed model, the recycling and treatment scheme can contribute to local sustainability by reducing the dependence on virgin materials for local industries. Four food waste treatments including wet feeding, dried feeding, composting and incineration have been examined for their cost-effectiveness and environmental impact. A case study of Taichung City, Taiwan is presented to demonstrate the applicability of the developed model. The results revealed the trade-off costs and environmental impacts associated with each recycling scenario. Also, the results indicate that establishing new facilities may reduce the impact on the environment, as well as the total cost.
Development of advanced pyrite passivation strategies towards sustainable management of acid mine drainage
Authors: Tabelin C B , Park I , Li X , Seng S , Villacorte-Tabelin M , Igarashi T , Ito M , Hiroyoshi N
Published: October 2019

Acid mine drainage (AMD) is one of the most serious environmental problems encountered in mining areas worldwide. When released into the environment without treatment, AMD pollutes the surrounding water bodies and soils with hazardous and toxic elements like arsenic (As), selenium (Se) and heavy metals such as lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) that rapidly destroy affected ecosystems. The most commonly used method to treat AMD is chemical neutralization, a technique whereby basic materials like limestone or lime are mixed with AMD to raise its pH and remove most of the contaminants via precipitation. Although effective, this approach requires the continuous supply of chemicals, energy, and manpower, which makes it unsustainable because AMD generation has been documented to continue for a very long time (up to several centuries to millennia). One promising alternative to chemical neutralization is (micro) encapsulation, a technique that directly treats pyrite, the main mineral responsible for AMD formation, and renders it unreactive by encapsulating the mineral with protective coatings. In this study, we introduced two advanced pyrite passivation techniques to limit AMD formation called “carrier-microencapsulation” (CME) and “galvanic microencapsulation” (GME). CME uses a redox-reactive organic carrier to deliver the coating material on the surface of pyrite. Because the carrier only decomposes oxidatively, the primary strength of this technique is its high selectivity for pyrite even in complex systems like mine tailings and pyrite-rich waste rocks. Meanwhile, GME is based on galvanic interactions between pyrite and metals with lower rest potentials so this technique could be applied directly in a ball mill during ore processing or coal cleaning.
Evaluation of RSA based formula for critical responses and incidence angles of a concrete MRF subjected to ground motions scaled to different hazard levels
Authors: Chen C , Diep V , Pong W
Published: October 2019

Seismic analysis of structures often requires applying a pair of ground motions simultaneously in the directions of the structures since an earthquake can excite with any incidence angle. Critical response and incident angle analysis therefore play a significant role in seismic structural design by predicting maximum structural responses. Existing procedures are often based on response spectrum analysis methods (RSA) to obtain critical angles and responses. The main objective of this study is to compare the critical incidence angles and responses obtained with response history analysis (RHA) and RSA for a concrete moment resisting frame (MRF). Unlike previous studies, this study considers the effect of different hazard levels by using different scaling methods for a total of fourteen selected pairs of recorded ground motions. Response history analyses of a nine-story concrete MRF are conducted under different seismic hazard levels. The studies demonstrate the significance of critical angle analysis as well as some discrepancy between RHA and RSA.
Recent advances in pore water pressure and liquefaction characteristics of low plasticity silty sands subjected to cyclic loading
Authors: Porcino D D
Published: October 2019

Low plasticity sand-silt mixtures are very common in Italy either in natural depositional environment or in man-made earth-fill, hence the knowledge of their behavior is a crucial aspect in many practical applications. Due to higher compressibility features, significant strains and strength loss may be triggered by earthquakes. The results of a laboratory-based investigation undertaken on undisturbed samples of low plasticity silty-sandy soils recovered from a bank stretch after the 2012 Emilia Romagna earthquake in Italy, when serious damages and widespread liquefaction events were observed, are herein presented. Special emphasis was given to susceptibility to liquefaction and pore water pressure response in presence of an initial static shear stress. As part of the present work, the results of undrained cyclic simple shear (CSS) tests carried out on reconstituted specimens of sand-fines mixtures, covering a range of non plastic fines contents from 0% to 40%, were used for predicting undrained cyclic resistance through the concept of equivalent granular void ratio,e*. The conceptual framework based one*appears appropriate for streamlining the effect of fines on cyclic liquefaction resistance of these intermediate soils, provided that fines content is less than a limiting value. Since an important stage in the assessment of liquefaction potential is to predict excess pore water pressure during cyclic loading, the results ofCSStests were also utilized for analysing pore water pressure generation models of silty sands over a wide range of fines contents.
Merged-LSTM and multistep prediction of daily chlorophyll-a concentration for algal bloom forecast
Authors: Cho H , Park H
Published: October 2019

Algal blooms are significant environmental problems which threaten the water supply system and ecosystem. To manage the problem, the effective forecasting model is necessary, but it is still challenging to predict the algal bloom due to its uncertainty and complexity. To improve the prediction performance, this study proposed the advanced model based on LSTM networks. Merged-LSTM model contains the three parallel LSTM layers and merged layers which is available to use the additional data from the diverse sources without problem in the training process. To predict the chlorophyll-a of target area, data from an additional monitoring station in upstream and auxiliary environmental data were put into parallel layers as well as data from the target area. The prediction result of the proposed model outperforms the existing models, and also shows a better training process with larger data dimensions. The proposed model and its result also suggest that the possibility of prediction of algal bloom with more advanced models and corresponding data sources.
Rapid site assessment in a small island of the Philippines contaminated with mine tailings using ground and areal technique: The environmental quality after twenty years
Authors: Senoro D B , de Jesus K L M , Yanuaria C A , Bonifacio P B , Manuel M T , Wang B-N , Kao C-C , Wu T-N , Ney F P , Natal P
Published: October 2019

This paper illustrates the impacts of mining disaster after more than 20 years. A two – day rapid assessment was carried out at Mogpog and Boac River catchment in Marinduque Island in March 2019. The target site included Maguilaguila Pit that connects the river catchment and formerly used as mining wastes pit. This is to understand the impacts of 1993 and 1996 mining disasters in the Boac-Mogpog river basin at Marinduque, Philippines. The island of Marinduque has been considered as among the top ten most vulnerable islands in the country due to its environmental condition and geographical location which affected the island demography. The island has suffered the impacts of one of the country’s biggest mining disasters. The instruments used to conduct rapid site assessment were SciAps X-300 Handheld X-ray Fluorescence (XRF), Unmanned Air Vehicle (UAV) Model DJI Mavic Air, Google Earth, Hannah Multiparameter HI 9811-5 with HI 1285-5 probe and HI 70007, 70031, 70032 and 700661 solutions. The DJI Mavic Air captured images of Mogpog and Boac River catchment which helped direct the research team to take the right sampling locations. The DJI Mavic Air captured site images of the two rivers as dead rivers and use as land transportation route during dry season. The Google Earth captured the historical images of the target areas. The recorded data showed that the pit and nearby river water is acidic with pH equivalent to 2.9 and 4.1, respectively. The range of concentration of total dissolved solids in Mogpog and Boac river water was 100–1360 and 160–1150 ppm, respectively. The recorded concentration of iron near the pit was 125,587 ppm, and chromium concentration range was 80–99 ppm. The concentration of copper and manganese in the sediments was 5 and 158 times higher (respectively) than the 1998 detected concentrations. Based on the recorded data and images, the Maguilaguila pit, Boac and Mogpog River catchment need immediate attention. It could be concluded that based on the recent assessment results, leaks at the pit are likely. Also, the combination of areal-aerial and ground technique produced two – day rapid site assessment for areas contaminated by mine tailings. The information could aid in preparing prompt action and setting strategies that are helpful in carrying out risk reduction programs in the island.
Effects of plastic waste to sea environment in Vietnam
Authors: Danh N T , Hoi H T
Published: October 2019

Currently, plastic products are commonly used in a developing country like Vietnam, the demand for plastic items has become more and more popular. The introduction of these plastic products has brought many benefits to Vietnamese people. However, going along with utilities plastic goods are also the factors affecting our living environment. In addition, the abusing and discharging plastic products into the environment in this country have become great concerns which are at alarming level. Witnessing the widely popular realities of using plastic items leads to the difficulties in controlling waste and the serious effects of it to the environment in general and to the marine environment in particular. This paper was based on the information of many journals and supports of the respondents who are studying at FPT University from May 13 to May 24, 2019 through the student survey. From then on, some solutions were mentioned to make the marine environment a better place.
A comparison of probabilistic distributions of undrained shear strength of soils in Nipigon River, Canada
Authors: Kanwar N S , Deng J
Published: October 2019

In probabilistic reliability analysis and design, critical geotechnical variables such as soil shear strength are usually regarded as random variables with a probability distribution rather than deterministic values or constants. In this paper, the vane shear test is briefly introduced and used to obtain undrained shear strength of soil in the area of Nipigon river landslide, Ontario, Canada. Then the maximum entropy method is presented to generate an unbiased probabilistic distribution for soil properties based on optimal-order moments from observed soil samples. A comparative study between maximum entropy distributions and traditional lognormal and normal distributions is conducted to evaluate the performance of fitted probabilistic distributions. Kolmogorov-Smirnov goodness of fit test shows that the maximum entropy distribution with four order moments fit the undrained shear strength best. The analytical entropy distribution obtained can be used in probabilistic reliability analysis.
Estimating micro-property parameters of concrete materials based on macro-experimental data
Authors: Li S J , Wang Z Y , Yu S , Wang S
Published: October 2019

It is very difficult to simulate nonlinear characteristics of concrete materials during fracturing process with continuum mechanics models. Discrete element methods supply for a new way for solving this kind of problems. However, how to precisely determine parameters of micro-constitutive model of concrete materials has become a key problem that affects the development and practical application of discrete element methods. The nonlinear mapping relation between deformation data of concrete specimen and parameters of micro-constitutive model of concrete materials is bridged by response surface function. Based on macro experimental data and response surface function, parameters of micro-constitutive model of concrete materials are determined by using optimization algorithm. The investigation result validates that the forecasted stress-strain curve for concrete specimen agrees well with observed one. The parameter inversion of micro-constitutive model for concrete materials can supply for foundations for precisely numerical simulation of discrete element methods.
Analysis of the atmospheric pollution transport pathways and sources in Shenyang, based on the HYSPLIT model
Authors: Ma Y F , Du B Y , Wang Q , Hu Q Q , Bian Y S , Wang M B , Jin S Y
Published: October 2019

The transport pathways and potential sources distribution of air pollutants are statistically analyzed based on the Hybrid Single–Particle Lagrangian Integrated Trajectory (HYSPLIT) model and the TrajStat method driven by the meteorological data of the Global Data Assimilation System (GDAS), and the concentration monitoring data of PM10, PM2.5, SO2 and NO2 in Shenyang, Liaoning Province in 2017. The trajectory classification method is used to analyze the main transport pathways affecting air masses during the research period. It is considered that the air masses in the northeast and northwest directions are the main reason for the high concentration of pollutants in the study area, while the air masses in the south direction are considered to be clean. Furthermore, the results of PSCF (potential resource contribution function) are consistent with the results of CWT (concentration–weighted trajectory). The potential sources that result in high concentrations of PM10 and PM2.5 are mainly located in southern Hebei Province, northern Shandong Province and the central and eastern Inner Mongolia Autonomous Regions. The corresponding potential source area shows a concentration of PM10 exceeding 150 μg•m−3 and PM2.5 exceeding 75 μg•m−3, while the source of nitrogen sulfide is mainly influenced by local sources.
A simulation-based method for analyzing energy demands in container terminals under different arrival interval of ships
Authors: Li X D , Peng Y , Wang W Y , Song X Q , Liu H K , Dong M
Published: October 2019

The contribution of this paper is to provide a simulation-based method to analyze the highly dynamic energy demands in container terminals under different arrival interval of ships. In order to overcome the complicated and stochastic operation processes in container terminals and obtain the energy demands at each time step, a simulation model is established. Then, various simulation models based on a container terminal in Northeast China are developed and carried out to study the impact of arrival interval of ships on energy demands. Finally, the energy demands in the container terminal are obtained and analyzed after running the simulation models. The results indicate that the energy demands represent a high randomness and large variations. When arrival interval changes from 5 h to 10 h, there is a sharp fall in the daily average energy demands, while as arrival interval changes from 15 h to 20 h, the daily average energy demands mainly concentrate between 0 MW and 1 MW. The obtained results and proposed method can provide references for power department policy making and balancing energy supply and demand in container terminals.
Test and analysis of high resolution regional model precipitation forecast based on wavelet
Authors: Gao H , Fan S Y , Zheng Z F , Zhang H L
Published: October 2019

In order to avoid the double punitive disadvantage of traditional test methods, based on the advantages of wavelet in multi-resolution analysisthe precipitation forecast products of RMAPS (Rapid-refresh Multi-scale Analysis and Prediction System) system are tested objectively. In this study, Haar is used as basis function. The test results show that the hourly precipitation forecast error of the 3km discriminant ratio of the forecast system is less than 15% for the precipitation process with the horizontal scale exceeding 94km. As the wavelet analysis scale decreases, the precipitation error gradually increases.
Numerical simulation on seismic behavior of a bridge under multi-support excitations considering site effect
Authors: Mei Z H , Li X J , Chen S , Fu L , Ni K C , Zhi H G
Published: October 2019

A series of numerical simulation were performed to investigate the earthquake response of a bridge under multi-support excitations considering site effect. Dynamic behavior of the bridge including the key position’s earthquake reaction and acceleration response had been demonstrated, respectively. Results show that the complex geological site had a great influence on bridge’s seismic response, especially on the superstructure. The research results could provide references for the seismic design and construction of bridge structure.
Information extraction of Baiyangdian wetland based on GF-2 remote sensing data
Authors: Meng C Z , Zhao C L , Le Z Y , Li R Y , Lu M M
Published: October 2019

The study on monitoring the water body range of Baiyangdian and the change of wetland information by means of remote sensing is of great significance to ensure the ecological security of Xiong’an New Area. This paper was conducted using the GF-2 remote sensing data on March and October 2018. The study was to provide an extraction model basing on NDVI-NDWI method, which compare with traditional supervised classification method. The selected sample points by using visual interpretation verified the extracted wetland information. The results show that the classification and extraction of Baiyangdian wetland information are carried out by using the model and supervised classification method respectively, and the wetland area (in which) is obtained in March. The precision of the sample points and the extracted wetland information are all above 90%, and the NDVI-NDWI method is constructed based on the NDVI-NDWI method. The extraction model is more accurate. Since the bare waters in March were 102.31 km2, 28.27 km2 more than in October; the area of aquatic plants extracted in October increased significantly from 122.57 km2 in March to 154.5 km2. It can be seen that the information of Baiyangdian wetland changes with the growth of aquatic plants. The model established by the institute can accurately extract the information of Baiyangdian wetland and provide a scientific reference for the planning and management of Xiong’an New District.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Container 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

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

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.