bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilization Visibility Order Management In Trucking Module Orchestration
Authors: Hafiz R T , Rambe V A , Triyasa D H , Rifni M 
Published: July 2020

Abstract
The Transport Module can help you track your vehicle and its distance so that you have less administration, optimized driving, and better customer service. Are you familiar with the problem of tracking your vehicle and its existence? This problem often occurs, when you want to notify customers about the time of arrival or inaccurate information about means of transportation. Not only that, but there are also problems that can be found, such as the difficulty in knowing the condition of the goods being transported. Using truck modules can provide convenience such as faster response times on assignments, you can also easily help your customers when they request arrival time or shipping status. The purpose of ordering orders is to be able to quickly and easily enter the origin and destination needed, delivery, and details of the pickup and delivery with several possible clicks. This study aims to look for optimization of the performance of trucking company performance and analyze and provide information regarding the position of an item in real-time. This paper describes the Utility Management of Utility Visibility in the Trucking Orchestration Module.
An assessment of vortex detection criteria for 2C-2D PIV data
Authors: De Gregorio F , Visingardi A , Coletta M , Iuso G 
Published: July 2020

Abstract
The aim of the article is to propose a robust and reliable engineering method for identifying and characterizing vortical structures within a flow field measured with a classic two-component PIV measurement system. Some of the most popular vortex-detection criteria are briefly presented for comparison purposes. Many of these fail if spurious vectors are present within the flow field due to poor PIV image quality. The proposed method was tested both on synthetic images of ideal vortices, having different spatial resolutions and different noise levels in order to perform a parametric assessment, and on real PIV images of a four-bladed rotor wake.
Suction system vapour velocity map estimation through SIFT-based alghoritm
Authors: Tocci T. , Capponi L. , Marsili R. , Rossi G. , Pirisinu J. 
Published: July 2020

Abstract
Measurement of velocity fields is a fundamental topic in fluid dynamics. Image-based analysis methods such as Particle Image Velocimetry or Laser Doppler Velocimetry are usually used. However, these techniques need complex instrumentation and particular test conditions. In this work, a computer vision-based approach is developed in order to obtain vapour velocity field map in effective, robust and economic way. Moreover, iterative filtering algorithm is applied to improve the results. The implemented method is tested on a suction system for domestic use, and the obtained velocity maps are validated by hot-wire anemometry, leading to totally comparable results, both in terms of profile and mean velocity. Uncertainty analysis shows acceptable results, considering the random nature of the phenomenon.
Wavelet intermittent blowout detection in thermoacoustic instability of trapped vortex combustor
Authors: Pagliaroli Tiziano , Troiaini Guido 
Published: July 2020

Abstract
This paper is aimed to the study of spontaneous radiant energy emitted by trapped vortex flame, focusing on the intermittent occurrence of flame blowout during thermoacoustic oscillation. We tackle this issue by a wavelet–based auto–conditioning technique, able to detect intermittent structures in the radiant energy signal, which we identify as a trace of extinction–reignition events. Intermittent events are found to be in phase with the tonal component of the radiant energy signal, although they occur randomly in time. Despite the wavelet auto–conditioning technique is a well established method in fluid dynamics and aeroacoustics, our work represents the first application in combustion field.
Additional information about blow–out are inferred by analysing the average signature computed from the radiant power time series: re–ignition velocity appears higher than extinction velocity. This result confirms the effectiveness of the radiant power for combustion diagnostics.
Experimental study of a vertical plunging jet by means of a volumetric shadowgraph technique
Authors: Di Nunno F , Alves Pereira F , Miozzi M , Granata F , Gargano R , de Marinis G , Di Felice F 
Published: July 2020

Abstract
A vertical plunging jet has been investigated experimentally by means of an innovative volumetric shadowgraphy technique. A space carving algorithm has been used for the measurement of the size and concentration of the air bubbles, to follow the air bubbles path inside the investigated volume, providing both spatial and temporal evolution of the same. Furthermore, the air bubble tracking has been performed by means of an algorithm based on the Lucas-Kanade optical flow algorithm. Results highlighted a distribution of the air bubbles that follows the free jet spread inside the investigated volume with a dependence of speed and size from the action exerted by the vertical jet. The volumetric shadowgraph technique has proven effective in characterizing air bubbles, also in presence of relevant void fraction.
Experimental Analysis of Small-Scale Rotors with Serrated Trailing Edge for Quiet Drone Propulsion
Authors: Candeloro Paolo , Emanuele Nargi Ranieri , Patané Fabrizio , Pagliaroli Tiziano 
Published: July 2020

Abstract
Drones are a growing business in Europe, delivering services in all environments, including urban areas: delivery of goods and e–commerce, precision agriculture, mapping, infrastructure inspections. In order to allow the integration of this platform in urban areas and to obtain public acceptance, it is necessary to significantly reduce the noise produced by the propellers. Currently, the level of noise generated by propellers is too relevant in terms of annoying effects induced on living beings. In particular, low altitude flights have been found to disturb citizens and frighten animals. With the aim to tackle such an issue, this paper describes an experimental parametric analysis of a passive noise control technique to reduce the signature generated by small–scale propeller employed for mini unmanned aerial propulsion.
The noise control strategy here proposed is based on a serration pattern realized at the trailing edge (TE) of the blade. Despite the same approach has already been successfully employed to mitigate noise generated by wind turbines and fixed wing aircraft, few studies have been devoted to investigate the effects of a serration pattern on small propellers. A large number of different serration were realized by varying height, width and teeth distribution. The idea is to find the optimal serration geometry in terms of acoustic requirements and to highlight the role of teeth number.
Results shows a sensible reduction in the noise propeller signature. Serration effects seems to depend strongly from the polar angle identifying different region of operation. Spectral Analysis points out that the serration affect the low frequency region and even the tonal component of aerodynamic noise. Statistical analysis shows a departure from a gaussian distribution and an effect of damping on distribution tails.
Remote and optical monitoring techniques applied to the maritime sector
Authors: Boselli A , de Marco C , Mocerino L , Murena F , Quaranta F , Rizzuto E , Sannino A , Spinelli N 
Published: July 2020

Abstract
A rising global attention to the environmental impact of anthropogenic activities pushes towards a continuous reduction of such impact and a control, through monitoring techniques, of the main sources of pollution. The transport sector is involved, as all other field of anthropogenic activities in the efforts towards a drastic abatement of emissions. Shipping activities generate greenhouse effect gases (GHGs), affecting the environment on a global scale, and other pollutants harmful for human health and the ecosystem on a local scale. These latter aspects are particularly relevant in ports where berths are close to densely inhabited areas. Many efforts have been and will be spent to predict and quantify these emissions with the aim of controlling them but direct measurements aimed at the identification and quantification of particularly polluting substances are to be considered a key point to achieve an effective control of emissions. In the context of ports, as in any transportation infrastructure, an identification of polluting vehicles and a quantification in an objective way of their emissions is crucial to implement any control activity of the polluting emissions. The development of optical remote sensing techniques appears to be particularly promising. This work provides a state of the art of the main techniques based on optical sensors (LIDAR, LIDAR DIAL, DOAS, camera UV) possibly applied in the maritime sector, highlighting advantages and potentialities. Results of a preliminary measurement campaign are reported to show the first encouraging feedback for the feasibility of the application.
Infrared Imaging in Internal Combustion Engines: Advanced Techniques for Vapor Phase Visualization and CO2 Detection
Authors: Mancaruso E. , Sequino L. , Vaglieco B. M. 
Published: July 2020

Abstract
As the technical level of modern engines increases to fulfill the emissions requirements, the techniques used to investigate in-cylinder phenomena need to update and to improve. Optical diagnostics provide precious information about the injection and combustion processes. To visualize the fuel vapor phase, a light source with specific wavelength and energy is needed; multiple optical accesses and additional optical components are required; the techniques are susceptible to the directionality of the light source and to the fuel composition. Recently, Infrared imaging has been used to overcome some of the drawbacks of well-known optical techniques. A peculiarity of infrared imaging is the ability to detect the energy emitted by a body as electromagnetic waves, from 0.76 to 1000 μm wavelength. This work illustrates the application of infrared imaging in a compression ignition engine for the analysis of the injection and combustion processes. The diesel fuel vapor penetration is experimentally measured and then compared to a 1d model of spray injection. Another application of IR can be the evaluation of the CO2 in the cylinder, that is a key species in the combustion process, the wavelength of 4.2 μm, relative to the asymmetric stretch of this molecule, is investigated to follow its distribution within the cylinder for different, conventional and non-conventional combustion modes.
Contaminant removal efficiency of floating treatment wetlands
Authors: Li Shuolin , Katul Gabriel 
Published: July 2020

Abstract
Floating treatment wetlands are new ecological infrastructures for stormwater treatment. Despite a recent proliferation in their usage, their contaminant removal efficiency e continues to draw research attention. Here, the e from idealized FTWs is numerically computed across a wide range of flow and geometric conditions while accommodating joint contributions of advection, turbulent dispersion, and vegetation removal. The emerging mathematical structure describing e bears resemblance to a simplified plug flow model and supports an empirical shallow-basin model from long-term field measurements. The present model indicates that e remains significantly influenced by a Dämkohler number that quantifies the effects of both vegetation and flow properties. The impacts on e of the underflow region and contaminant blockage on the removal mechanisms are also investigated.
Shades of green: life cycle assessment of renewable energy projects financed through green bonds
Authors: Gibon Thomas , Popescu Ioana-Ştefania , Hitaj Claudia , Petucco Claudio , Benetto Enrico 
Published: July 2020

Abstract
Green bonds have emerged as a key instrument to fund projects contributing to climate change mitigation or environmental protection. However, a consistent, robust and comparable standard for the estimation of the environmental impacts of green bonds is lacking, hampering growth in sustainable finance. As encouraged by second-party opinion reports, the use of life cycle assessment (LCA) allows for the complete environmental evaluation of projects over their life cycle. Here we estimate the LCA-based impacts along several environmental metrics of a set of green bonds for renewable power plants issued by the European Investment Bank from 2015–2018. Life cycle avoided greenhouse gas (GHG) emissions varied by a factor of 12 from 29 to 359 t CO2 eq./M€ invested—information that is not available to investors at the outset, indicating that funds are unlikely to be allocated efficiently. Furthermore, linking environmental impact indicators to the Sustainable Development Goals unveils significant trade-offs. Bonds may perform well on water use and emissions, while having a negative impact on waste and land use. Conducting LCA of green bonds comes at a cost of additional methodological challenges and increased data needs compared with current reporting practices. However, the ready infrastructure of LCA databases and methodologies can provide the necessary tools to meet future reporting requirements as the EU taxonomy framework and standardization of impact reporting evolve.
Performance for the catalytic CO oxidation over the Mo0.5Sn9Co90.5O2 catalyst
Authors: Lu Danting , Fan Xing , Cai Jianyu , Li Jian 
Published: July 2020

Abstract
In this study, carbon monoxide catalytic oxidant MoSnCoOx was prepared by coprecipitating method to investigate the effect of MoO3 addition amount on catalyst activity. Meanwhile, the sulfur and water resistance of the catalysts were researched by simulating the industrial conditions of sintering smoke emission. The samples were studied using BET, XRD, SEM and H2-TPR techniques. The results revealed that catalyst added with 0.5% MoO3 had better activity than the original Sn9Co91O2 catalyst and its efficiency reached 98.04% at 70 °C. After 21 h reaction with sulfur and water in the flue gas, the catalyst efficiency only decreased to 89.75%. According to the results of characterization, Mo0.5Sn9Co90.5O2 catalyst could better resist sulfur and water, because the presence of MoO3 not only reduced the crystallinity of the catalyst, but it also increases the specific surface area and oxidation capacity.
Experimental Studies of Performance Savonius Wind Turbine with Variation Layered Multiple Blade
Authors: Kurniawan Y , Tjahjana D D D P , Santoso B 
Published: July 2020

Abstract
The solution to various environmental problems now is the development of renewable energy. One of the renewable energy that was sociable to the environment and easily obtained is wind energy. Savonius wind turbines are proper to be applied in Indonesia which have low wind speeds, besides that Savonius also has many advantages over other wind turbines. In this paper experimental study is done a study on conventional Savonius wind turbine and modified Savonius wind turbine by added multiple layer 90°, 115°, 135° at positions 0° and 30°. The schematic supportive testing is done by blower fan. The wind speed used in testing with a range of 4.99 m/s to 7.27 m/s. The test results showed that the addition of multiple layers could be increased Savonius’s power coefficient to 17.6%. The maximum power coefficient obtained by Savonius turbine was 0.120 with variations multiple layer 90° at 0° position. So, the addition of multiple layer can be improved the performance of the Savonius wind turbine
Assessment of Sedimentation Problem in Kenyir Hydropower Reservoir
Authors: Chow M.F. , Subbramaniam P. , Sidek L.M. 
Published: July 2020

Abstract
Sedimentation issue is becoming an emerging challenge in hydropower dam due to land use changes and frequent heavy storm in the recent decades. This study carried out an assessment on sedimentation problem in Kenyir hydropower reservoir in Malaysia based on hydrological, land use, topographic, soil erosion and dam capacity data. The results showed that the average live storage for Kenyir reservoir could be sustained at least for another 6774 years while dead storage can survive more than 5675 years. The number of year required for Kenyir reservoir to be fully deposited with sediment will be shorten to 3784 years for dead storage if 50% reduction in forest coverage. A more comprehensive monitoring program is recommended to be implemented in Kenyir reservoir catchment so that the results can be used confidently in future flow and sediment load predictions.
Analysis of Correlation between Channel Sediment Nutrition and Aquatic Plant Biomass in Pishihang Irrigation District
Authors: Zhang Yongsheng , Li Haiying , Fan Ruina , Li Zhan , Hong Zhong 
Published: July 2020

Abstract
To study sediment dredging in Pishihang Irrigation District, the largest irrigation district in China, this paper collected aquatic plants and sediment in the channel to analyze the biomass and nutrient distribution. The results were as follows: in April, the biomass at Point 3 peaked at 21.9 kg/m2 while in July and September, the biomass at Point 4 was the highest at the level of 25.1 kg/m2 and 25.6 kg/m2 respectively. The nutrient factor in sediment at Point 4 and 5 was higher than those at other points. The correlation coefficients of aquatic plant biomass with ammonia nitrogen and nitrate nitrogen were 0.81, 0.65 and 0.51 respectively. The nutrients in the sediment affecting the growth of aquatic plants mainly consisted of ammonia nitrogen, nitrate nitrogen and inorganic phosphorus. The eco-dredging project in the canal of Pishihang Irrigation District for weeding was about 20-30cm in thickness.
Application of High Modulus Silica Sol Electrolyte in Lead-acid Battery
Authors: Yang Tong , Qian Shengqiang , Wang Zhenwei 
Published: July 2020

Abstract
High modulus silica sol of n/m=52 sodium silicate aqueous sol was prepared by compressing and filtering sodium silicate aqueous solution without loss of SiO2 content. The SiO2 content can increase from 14.2% to 30%. The high modulus silica sol are mixed with acidic water to prepare a high modulus silica sol electrolyte, which is then produced into 6-DZM-20 Ah electric bicycle batteries. A combination of intermittent current-changing charging process, simple electrolyte production process, brings about reduced energy consumption and cost. The battery with the high modulus silica sol electrolyte shows enhanced stability, deep cycling performance, long service life, strong resistance to harsh environments, low self-discharge rate, low floating current, and excellent heat resistance.
Influence of Different Media and Conditions on Probiotics Isolation from Breast Milk
Authors: Wu Yifan , Zhang Lanwei , Chen Shiwei , Han Xue 
Published: July 2020

Abstract
Breast milk is an important food source for infant development and a viable potential probiotics resource for formula and fermentation industry. However, how to enrich the bacteria in human milk at the bacterial level in different media under different conditions is still poorly understood. Our research tested the isolating capability of LBS media, MRS media and MRS (pH=5.2) media under both anaerobic and aerobic conditions via Gram staining and 16s rRNA sequencing for Lactobacillus and Bifidobacterium. As a conclusion, MRS (pH=5.2) media showed a good capability on Lactobacillus isolation while LBS media presented well on Bifidobacterium isolation under anaerobic conditions.
Evaluating the feasibility of GF-1 remote sensing comparison with hyperspectral data for soil organic carbon prediction and mapping
Authors: Guo Yan , He Jia , Li Shimin , Zheng Guoqing , Wang Laigang 
Published: July 2020

Abstract
High-resolution remote sensing data play a very important role in agriculture. However, the major sources of high-resolution images are not owned by China. The Chinese “High Resolution Earth Observation Systems” was deployed in 2010, and several major projects have been implemented. The present study focused on assessing the feasibility of Gaofen (GF) multi-spectral data for monitoring bare soil organic carbon (SOC) at field and regional scales. The data sources are hyperspectra measured under laboratory conditions and simulated multi-spectral data from GF-1 remote sensing images. Partial least squares regression (PLSR) was used to estimate SOC. At the field scale, the SOC hyperspectral prediction model produced better R2=0.9688, RMSE=0.3818, and RPD=5.6393 than the simulated multi-spectral SOC prediction model (R2=0.8179, RMSE=0.9913, RPD=2.3401). At a regional scale, the SOC hyperspectral prediction model also produced a better R2=0.9319, RMSE=1.097, and RPD=3.8758 than the simulated multi-spectral SOC predicted model (R2=0.8445, RMSE=1.6574, RPD=2.4228). For the simulated GF-1 multi-spectra model, regional scale predications had advantages over field scale predictions. The spatial distribution characteristics of SOC measurements and predictions from hyperspectral data and simulated GF-1 multi-spectral data were similar. Thus, satisfactory performance of the predictive and calibrated models validates the feasibility of these methods for rapid large-scale SOC monitoring.
Study on the Risk Early Warning Index System of Typical Chemical Production Process Based on Three Dimensional Factors
Authors: hui Che , xinyue Ma , xiaoyu Lu 
Published: July 2020

Abstract
Prevention and control in advance embodies the essence of risk management, and risk early warning index system is the key link of implementing risk early warning. In order to construct risk early warning index system of typical chemical production process, the risk identification, analysis and early warning theory are closely combined in this paper, the accident risk factors are extended to three aspects, as possibility, severity and sensitivity. Based on the common accidents of typical chemical production process, the risk factors of the production process are comprehensively analysed and the risk early warning index system is put forward based on three dimensional factors. Through the index screening methods for interval estimation, the primary warning indicators are screened. Finally, the risk early warning index system of typical chemical production process is determined.
Co-pyrolysis Characteristics of Torrefied Coconut Shell and Coal
Authors: Zheng Zhilei , Zhou Xin , Wang Siqiong , Li Qingchun , Wang Yunfei 
Published: July 2020

Abstract
The co-pyrolysis of torrefied coconut shell (TCS) and Shenhua coal (SHC) was performed using a thermogravimetric analyzer (TGA). The pyrolysis and interaction characteristics of the raw feed materials (TCS and SHC) along with selected mass blend ratios were investigated. Compared to pyrolysis alone, the blend ( Blend1-2 and Blend2-1) have one more maximum weight loss rate peaks. Initial decomposition temperature and maximum weight loss rate temperature gradually increase with increasing heating rate. There are two kinds of interaction was observed: physical and chemical interactions. Both the heating rate and the blending ratio have influence on the interaction. There is no chemical interaction at 3°C/min heating rate, and the physical dominates the interaction progress. At a heating rate of 3oC/min, both interactions exist, and the physical process dominates the progress of the interaction. The higher the mass ratio of TCS in the blend, the more significant the physical interaction.
Effect of particle size, transparency and light intensity on the color of powder
Authors: Li Zheng , Gan Weirong , He Xinhai , Lu Huiping , Zhang Yaofang 
Published: July 2020

Abstract
In daily life, the color of matter will change in some cases. This paper mainly studies the factors that affect the color of powder. The effects of grinding particle size, transparency of grinding material and solvent medium on the colour of powder were investigated. The innovation of this paper lies in the quantitative measurement and analysis of the color of grinding powder by the method of measuring the wavelength and the light intensity with spectrometer.