bluuebunny/crossref_metadata_2025 huggingface dataset:
Phase coexistence in a monolayer of active particles induced by Marangoni flows
Authors: Domínguez Alvaro , Popescu Mihail N.
Published: September 2018

Thermal or chemical activity of many spherical particles trapped at a fluid interface lead to a steady state characterized by the coexistence of thermodynamic phases.
Ni foam supported NiO nanosheets as high-performance free-standing electrodes for hybrid supercapacitors and Ni–Zn batteries
Authors: Chen Qiang , Li Jiantao , Liao Cong , Hu Guangwu , Fu Yulu , Asare Owusu Kwadwo , Shi Shu , Liu Ziang , Zhou Liang , Mai Liqiang
Published: September 2018

The quasi-solid-state NF@NiO//Zn batteries can successfully power a neon sign consisting of 42 light emission diodes (LEDs).
Bifunctional CoNi/CoFe2O4 /Ni foam electrodes for efficient overall water splitting at a high current density
Authors: Li Shasha , Sirisomboonchai Suchada , Yoshida Akihiro , An Xiaowei , Hao Xiaogang , Abudula Abuliti , Guan Guoqing
Published: September 2018

An electrocatalyst composed of CoNi(hydroxide) nanosheets and flower-like CoFe2O4 particles with multiple porous structure is successfully deposited on nickel foam and applied for overall water splitting.
Inorganic–organic hybrid zinc phosphites with fluorescence/phosphorescence dual emission performances
Authors: Ni Ai-Yun , Mu Ying , Pan Jie , Han Song-De , Li Jin-Hua , Wang Guo-Ming
Published: September 2018

A strategy to prepare room temperature fluorescence/phosphorescence dual emission materials is explored by coordinating N-containing organic chromophores to metal phosphite frameworks.
A low temperature and highly sensitive ethanol sensor based on Au modified In2O3 nanofibers by coaxial electrospinning
Authors: Huang Baoyu , Wang Yanrong , Hu Qiang , Mu Xuemei , Zhang Yaxiong , Bai Jinglong , Wang Qiao , Sheng Yingzhuo , Zhang Zhenxing , Xie Erqing
Published: September 2018

In2O3–Au nanofibers synthesized by coaxial electrospinning display a lower optimum working temperature and excellent sensing performance at room temperature.
Hierarchical evolutionary game based dynamic cloudlet selection and bandwidth allocation for mobile cloud computing environment
Authors: Meng Sachula , Wang Ying , Jiao Lei , Miao Zhongyu , Sun Kai
Published: September 2018

To bridge the gap between the resource‐constrained mobile devices and the resource‐demanding applications, mobile cloud computing (MCC) emerges for offloading complex tasks to a cloud server. Based on this concept, cloudlets, which move available resource to the vicinity of the mobile network, enhance further the system accessibility and performance. Moreover, to strengthen the network capacity in traffic intensive area, dense small cell network (DSCN) is proposed as one of the promising solutions. In this study, the operation of cloudlets and DSCN is collaboratively studied in order to further improve the system performance. On the one hand, users can select a cloudlet and dynamically adapt the connection according to the performance and the cost, which is referred to as a user‐essential dynamic cloudlet selection problem. On the other hand, a cloudlet needs to set the optimal selling price and the size of resource for the users, which is considered as a cloudlet resource allocation problem. To jointly address the problems of dynamic cloudlet selection and resource allocation, the authors propose a hierarchical evolutionary game to maximise the utilities. Simulation studies are carried out to demonstrate the effectiveness of the proposed algorithms, which, indeed, improve the entire system performance significantly.
Moderate squint imaging algorithm for the multiple‐hydrophone SAS with receiving hydrophone dependence
Authors: Wu Haoran , Tang Jinsong , Zhong Heping
Published: September 2018

The existing imaging algorithms for the multiple‐hydrophone synthetic aperture sonar (SAS) cannot obtain a good imaging result in the moderate squint case where the squint angle is from 10° to 20°, because they do not take the differential range curvature into account, and the existing methods of equivalent spatial sampling cannot work well. This study proposes an imaging algorithm for the moderate squint multiple‐hydrophone SAS. First, the range history model of the moderate squint multiple‐hydrophone SAS is established. Second, the signal of each hydrophone is processed separately with bistatic imaging algorithm to correct the differential range curvature. Third, the corrected signal of each hydrophone is shifted to the same range bin to compensate the relative range offset, and is added coherently together to remove the azimuth aliasing and to reconstruct the image without loss of resolution. Fourth, a new method of equivalent azimuth sampling is developed, and a PRF adjusted with squint angle is given. Finally, the validity of the proposed algorithm is tested by the simulation and real data.
Coherency structure exploitation in DOA estimation for non‐circular sources
Authors: Xie Wei
Published: September 2018

This study addresses the problem of direction‐of‐arrival (DOA) estimation for non‐circular (NC) sources in the presence of multipath propagation. Recent research reveals that the use of the association of incident signals, i.e. source association (SA), can provide a significant gain in reducing DOA estimation error, especially in the presence of multiple sources. Here, in order to make full use of both the properties of NC sources and the SA information, the multipath model with NC sources is studied, and then a simple combination algorithm is proposed to estimate the SA, based on which, the authors derive an iterative root estimator to refine a given coarse DOA estimation. Meanwhile, the stochastic Cramer–Rao bound taking these two factors into account is derived as well. The proposed method is search‐free and maintains the array aperture which is up to twice of the physical array aperture. Numerical simulations have been provided to verify the effectiveness of the proposed method.
Sidelobe level reduction in ACF of NLFM waveform
Authors: Ghavamirad Roohollah , Sebt Mohammad Ali
Published: September 2018

In this study, an iterative method is proposed for non‐linear frequency modulation (NLFM) waveform design based on a constrained optimisation problem using Lagrangian method. To date, NLFM waveform design methods have been performed based on the stationary phase concept which has been already used by the authors in a previous work. The proposed method has been implemented for six windows of Raised‐Cosine, Taylor, Chebyshev, Gaussian, Poisson, and Kaiser. The results reveal that the peak sidelobe level of autocorrelation function (ACF) reduces about an average of 5 dB in the proposed method compared with the stationary phase method, and an optimum peak sidelobe level is achieved. The minimum error of the proposed method decreases in each iteration which is demonstrated using mathematical relations and simulation. The trend decrement of minimum error guarantees convergence of the proposed method.
Modified cell averaging CFAR detector based on Grubbs criterion in non‐homogeneous background
Authors: Zhou Wei , Xie Junhao , Xi Kun , Du Yuhan
Published: September 2018

Constant false alarm rate (CFAR) is the desired property for automatic target detection in an unknown and non‐stationary background. Here, a modified cell averaging CFAR (CA‐CFAR) detector based on the Grubbs criterion (CAG‐CFAR) is proposed for target detection in non‐homogeneous background. The CFAR property of the CAG‐CFAR with respect to the distribution parameter in exponential‐distributed background is verified via Monte Carlo simulations. The detection performances of the proposed method in scenarios of multiple targets and clutter edges are investigated with different significance levels of the Grubbs criterion and sizes of reference window. Results show that the CAG‐CFAR detector exhibits a similar detection performance as the CA‐CFAR in homogenous environment with an appropriate significance level. At clutter edges, the CAG‐CFAR detector attains a similar and acceptable false alarm rate control compared to several relevant competitors. In the multiple‐target scenario, the proposed method achieves a robust detection performance with a low computational burden, whereas the competitors suffer performance degradations in varying degree. Simulations and experimental results verify the effectiveness and superiority of the proposed method in multiple‐target situation with an unknown number of the interfering targets.
Fast non‐line‐of‐sight receivers conjecturing method in TDOA localisation using obstacle information
Authors: Kim Jonghoek
Published: September 2018

Time difference of arrival (TDOA) method to locate an emitter is widely used to localise the position of an emitter. In localising an emitter, non‐line‐of‐sight errors are added if an obstacle like a building blocks the line‐of‐sight (LOS) path between the receiver and the emitter. This study considers the case where the authors have a priori information on the obstacle environments. Using the obstacle information, they conjecture LOS receivers followed by estimating the emitter position using the conjectured LOS receivers. The proposed estimation method provides a reasonable emitter estimate in a time efficient manner. Since the proposed algorithm runs fast with reasonable estimate results, the estimation method can be applied to track an emitter, which moves in cluttered environments, in real time. The effectiveness of the estimation method is verified using extensive MATLAB simulations.
Search for targets in a risky environment using multi‐objective optimisation
Authors: Angley Daniel , Ristic Branko , Moran William , Himed Braham
Published: September 2018

This study develops an online unmanned aerial vehicle (UAV) path‐planning strategy for autonomous search and localisation of targets in a risky environment that simultaneously optimises two objectives: (i) search and (ii) survival. The authors formulate two rewards (objective) functions corresponding to the two objectives and compute the Pareto front, formed by taking convex combinations of these rewards. In the extreme case of pure search, using entropy reduction as the reward, the trajectory of the UAV is reminiscent of a systematic search pattern. When combined with the survival objective, the search pattern appears more random, as the UAV intelligently trades off the reward of finding targets with the risk of being destroyed.
Radar emitters classification and clustering with a scale mixture of normal distributions
Authors: Revillon Guillaume , Mohammad‐Djafari Ali , Enderli Cyrille
Published: September 2018

In this study, a scale mixture of normal distributions model is developed for classification and clustering of radar emitters. A radar signal is characterised by a pulse‐to‐pulse modulation pattern and is often partially observed. The proposed model can classify and cluster different radar emitters even in the presence of outliers and missing values. The classification method, based on a mixture model, focuses on the introduction of latent variables that give us the possibility to handle sensitivity of the model to outliers and to allow a less restrictive modelling of missing data. A Bayesian treatment is adopted for model learning, supervised classification and clustering. The inference is processed through a variation Bayesian approximation. Some numerical experiments on realistic data show that the proposed method provides more accurate results than state‐of‐the‐art classification algorithms.
Multifunction cognitive radar task scheduling using Monte Carlo tree search and policy networks
Authors: Shaghaghi Mahdi , Adve Raviraj S. , Ding Zhen
Published: September 2018

A modern radar may be designed to perform multiple functions, such as surveillance, tracking, and fire control. Each function requires the radar to execute a number of transmit–receive tasks. A radar resource management (RRM) module makes decisions on parameter selection, prioritisation, and scheduling of such tasks. RRM becomes especially challenging in overload situations, where some tasks may need to be delayed or even dropped. In general, task scheduling is an NP‐hard problem. In this work, the author develops the branch‐and‐bound (B&B) method which obtains the optimal solution but at exponential computational complexity. On the other hand, heuristic methods have low complexity but provide relatively poor performance. They resort to machine learning‐based techniques to address this issue; specifically, they propose an approximate algorithm based on the Monte Carlo tree search method. Along with using bound and dominance rules to eliminate nodes from the search tree, they use a policy network to help to reduce the width of the search. Such a network can be trained using solutions obtained by running the B&B method offline on problems with feasible complexity. They show that the proposed method provides near‐optimal performance, but with computational complexity orders of magnitude smaller than the B&B algorithm.
Characterisation of a bis‐ferrocene molecular QCA wire on a non‐ideal gold surface
Authors: Graziano Mariagrazia , Wang Ruiyu , Roch Massimo Ruo , Ardesi Yuri , Riente Fabrizio , Piccinini Gianluca
Published: September 2018

Field‐coupled nanocomputing represents one of the possible proposals for the post‐Complementary Metal Oxide Semiconductor (CMOS) scenario. Contrarily to standard technology, the information is not propagated using electron transport, but via field interactions among single elements. The molecular quantum‐dot cellular automata (QCA) is one of the most promising implementations; redox centres of oxidised molecules are used to concentrate charges. Coulomb interaction between redox centres enables the information propagation. The necessity for charge transport is overcome, entailing very low power consumption notwithstanding the nanometric size and the very high expected operating frequency. Nevertheless, as the Coulomb interaction strongly depends on the distance between charges, the position of each molecule plays a relevant role in the interaction. This work investigates the information propagation of a possible molecular wire thiolated on a non‐ideal gold surface, where the intermolecular distance may vary due to the surface roughness and possible defects introduced in the formation of the molecular wire. The efficiency of the information transfer is analysed with the aim of providing significant constrains and suggestions for future fabrication steps.
Investigation of RF and linearity performance of electrode work‐function engineered HDB vertical TFET
Authors: Narwal Seema , Chauhan Sudakar Singh
Published: September 2018

This work realises a hetero‐dielectric buried oxide vertical tunnel field effect transistor (HDB VTFET) and investigates its radio frequency (RF) and linearity characteristics. First time, the concept of hetero‐dielectric buried oxide (BOX) in VTFET is used to obtain the superior improvement in terms of different RF and linearity figure of merits such as , , , , Gain Bandwidth Product (GBP), , Transconductance Frequency Product (TFP), Transconductance Generation Factor (TGF), , , , , , and 1‐dB compression point. Also, the influence of HfO2 BOX length scaling on these FOMs is analysed. The results reveal that the HDB VTFET can be a promising contender to replace bulk metal‐oxide semiconductor field‐effect transistors in analogue/mixed signal system‐on‐chip and high‐frequency microwave applications and the accuracy of this device is validated by TCAD Sentaurus simulator.
VIS3COS
Authors: Paulino-Afonso Ana , Sobral David , Darvish Behnam , Ribeiro Bruno , Stroe Andra , Best Philip , Afonso José , Matsuda Yuichi
Published: September 2018

We present the VIMOS Spectroscopic Survey of a Supercluster in the COSMOS field (VIS3COS) at z ∼ 0.84. We use VIMOS high-resolution spectra (GG475 filter) to spectroscopically select 490 galaxies in and around the superstructure and an additional 481 galaxies in the line of sight. We present the redshift distribution, the catalogue to be made public, and the first results on the properties of individual galaxies and stacked spectra (3500 Å < λ <  4200 Å rest-frame). We probe a wide range of densities and environments (from low-density field to clusters and rich groups). We find a decrease in the median star formation rate from low- to high-density environments in all bins of stellar mass and a sharp rise of the quenched fraction (from ∼10% to ∼40 − 60%) of intermediate-stellar-mass galaxies (10 <  log10 (M⋆/M⊙) <  10.75) from filaments to clusters. The quenched fraction for massive galaxies shows little dependence on environment, being constant at ∼30 − 40%. We find a break in the strength of the [O II] emission, with nearly constant line equivalent widths at lower densities (∼ − 11 Å) and then a drop to ∼ − 2.5 Å towards higher densities. The break in the [OII] line strength happens at similar densities (log10(1 + δ) ∼ 0.0 − 0.5) as the observed rise in the quenched fraction. Our results may provide further clues regarding the different environmental processes affecting galaxies with different stellar masses and highlight the advantages of a single dataset in the COSMOS field probing a wide range of stellar masses and environments. We hypothesise that quenching mechanisms are enhanced in high-density regions.
SUPER
Authors: Circosta C. , Mainieri V. , Padovani P. , Lanzuisi G. , Salvato M. , Harrison C. M. , Kakkad D. , Puglisi A. , Vietri G. , Zamorani G. , Cicone C. , Husemann B. , Vignali C. , Balmaverde B. , Bischetti M. , Bongiorno A. , Brusa M. , Carniani S. , Civano F. , Comastri A. , Cresci G. , Feruglio C. , Fiore F. , Fotopoulou S. , Karim A. , Lamastra A. , Magnelli B. , Mannucci F. , Marconi A. , Merloni A. , Netzer H. , Perna M. , Piconcelli E. , Rodighiero G. , Schinnerer E. , Schramm M. , Schulze A. , Silverman J. , Zappacosta L.
Published: September 2018

Theoretical models of galaxy formation suggest that the presence of an active galactic nucleus (AGN) is required to regulate the growth of its host galaxy through feedback mechanisms, produced by, for example, AGN-driven outflows. Although many observational studies have revealed that such outflows are common both at low and high redshift, a comprehensive picture is still missing. In particular, the peak epoch of galaxy assembly (1 <  z <  3) has been poorly explored so far, and current observations in this redshift range are mostly limited to targets with high chances to be in an outflowing phase. This paper introduces SUPER (a SINFONI Survey for Unveiling the Physics and Effect of Radiative feedback), an ongoing ESO’s VLT/SINFONI Large Programme. SUPER will perform the first systematic investigation of ionized outflows in a sizeable and blindly-selected sample of 39 X-ray AGN at z ∼ 2, which reaches high spatial resolutions (∼2 kpc) thanks to the adaptive optics-assisted IFS observations. The outflow morphology and star formation in the host galaxy will be mapped through the broad component of [O III]λ5007 and the narrow component of Hα emission lines. The main aim of our survey is to infer the impact of outflows on the on-going star formation and to link the outflow properties to a number of AGN and host galaxy properties. We describe here the survey characteristics and goals, as well as the selection of the target sample. Moreover, we present a full characterization of its multi-wavelength properties: we measure, via spectral energy distribution fitting of UV-to-FIR photometry, stellar masses (4 × 109 − 2 × 1011 M⊙), star formation rates (25 − 680 M⊙ yr−1) and AGN bolometric luminosities (2 × 1044 − 8 × 1047 erg s−1), along with obscuring column densities (up to 2 × 1024 cm−2) and luminosities in the hard 2 − 10 keV band (2 × 1043 − 6 × 1045 erg s−1) derived through X-ray spectral analysis. Finally, we classify our AGN as jetted or non-jetted according to their radio and FIR emission.
From solar to stellar brightness variations
Authors: Witzke V. , Shapiro A. I. , Solanki S. K. , Krivova N. A. , Schmutz W.
Published: September 2018

Context. Comparison studies of Sun-like stars with the Sun suggest an anomalously low photometric variability of the Sun compared to Sun-like stars with similar magnetic activity. Comprehensive understanding of stellar variability is needed to find a physical reason for this observation.

Aims. We investigate the effect of metallicity and effective temperature on the photometric brightness change of Sun-like stars seen at different inclinations. The considered range of fundamental stellar parameters is sufficiently small so the stars investigated here still count as Sun-like or even as solar twins.

Methods. To model the brightness change of stars with solar magnetic activity, we extended a well-established model of solar brightness variations based on solar spectra, Spectral And Total Irradiance REconstruction (SATIRE), to stars with different fundamental parameters. For this we calculated stellar spectra for different metallicities and effective temperature using the radiative transfer code ATLAS9.

Results. We show that even a small change (e.g. within the observational error range) of metallicity or effective temperature significantly affects the photometric brightness change compared to the Sun. We find that for Sun-like stars, the amplitude of the brightness variations obtained for Strömgren (b + y)/2 reaches a local minimum for fundamental stellar parameters close to the solar metallicity and effective temperature. Moreover, our results show that the effect of inclination decreases for metallicity values greater than the solar metallicity. Overall, we find that an exact determination of fundamental stellar parameters is crucially important for understanding stellar brightness changes.
Chemical and sensory characterization of the aroma of ‘Chardonnay’ musts fermented with different nitrogen sources
Authors: Izquierdo Cañas Pedro Miguel , Mena Morales Adela , Heras Manso J.M. , García Romero E. , González Viñas Miguel Angel , Sánchez Palomo Eva
Published: September 2018

This work studies the influence of two different nitrogen sources added to the must on aromatic series and sensory profile of ‘Chardonnay’ wines. Volatile compounds were classified into six odorant series and the total intensities for every aromatic series were calculated as sum of the OAV of each one of the compounds assigned to these series. Sensory profile was defined by quantitative descriptive sensory analysis. The fruity, floral and sweet series are the ones most strongly contributing to the aroma of ‘Chardonnay’ wines, independently of nitrogen source added. In general, the fortification of must with nitrogen source enhances the aroma intensity of wines, especially fruity and floral notes. Samples with organic nutrient presented greater aromatic intensity and more floral aromas than samples with inorganic nutrient. According to the results, the fortification of must with organic nitrogen enhanced the aromatic complexity of wines.
Calculation of Admittance Capacity of Wind Farms under Harmonic Constraints
Authors: Min GUO , Qingren JIN , Weidong CHEN
Published: September 2018

The harmonic voltage at the wind farm interconnection point does not exceed the harmonic distortion limits of all voltage levels stipulated by the national standard. The allowable value of the harmonic current injected into the power system shall be allocated in proportion to the total capacity and installed capacity of the harmonic source equipment. However, judging from the status quo of the implementation of harmonic national standard, there is still much controversy over this standard. One of the focal points of controversy is determining the limits of whether different types of harmonic sources should be treated differently. Based on the theoretical research, this paper selects the typical wind farm interconnection points and calculates the admittance capacity limits under different harmonic constraints of the wind farm based on the historical data and the level of harmonic planning, and analyzes the rationality of the calculation results.
Design of An Intelligent Split-type Electricity Utilization Measurement and Control Terminal for Local Household Energy Management and Optimization
Authors: Xie Baiming , Cheng Lefeng , Ding Chao , Shi Shouyuan , Tan Zhukui , Li Zhengjia , Liu Bin , Hua Jinxiu , Huang Wenjing
Published: September 2018

It is of great significance to implement automatic demand response (ADR) in the energy Internet based on accurate measurement and control of electricity utilization devices using intelligent terminals. Current intelligent terminals lack flexibility and possess weak data collection and processing capabilities. On this basis, this paper developed an intelligent split-type electricity utilization measurement and control terminal for local household energy management and optimization. This intelligent terminal has capabilities of digital signal processing and infrared-based precision control, which is composed of two separate parts: the device body and the infrared controller. Among them, the device body includes DSP chip, electrical sampling circuit, ADC chip, WiFi module, ZigBee module, etc. The infrared controller contains single-chip microcomputer, ZigBee module, infrared encoding and transmit-receiving module, and lithium-ion battery. The device body is able to provide commands to the infrared controller according to the collected electricity utilization information, environmental information and comprehensive demand response requirements, thereby accurately adjusting the operating status of the loads, namely the electrical household appliances. Due to the split-type and rechargeable design, this intelligent terminal is able to adapt to a complex home environment, laying the hardware foundation for effective home energy management and optimization and facilitating household loads participating in demand response, especially automatic demand response.
Novel Grid Dynamic Economic Dispatch Method Considering Response Characteristic of Intelligent Power Consumption Community
Authors: Shiqian Wang , Yu Zhang , Xiaokai Song , Jianyu Guo , Yang Liu
Published: September 2018

Nowadays smart grid and intelligent power consumption community develop rapidly, and the interactive coupling of power system with intelligent community has become more in-depth. Based on differential evolution algorithm, a grid dynamic economic dispatch method with the intelligent community is proposed in this realistic context. The objective function is to minimize generation cost. And multiple constraint conditions are power balance, reserve capacity of electric power system, generator output, generator climbing speeds and et al. The accuracy and validity of the method are validated through analyzing the example of a power system including two intelligent communities.
Analysis And Study On Distribution Of Defect Electric Field On Basin-type Insulator In GIS
Authors: Feng Qikun , Dai Nianqin
Published: September 2018

With the increase of electric network voltage in power system, the internal discharge phenomenon of gas insulated substation (GIS) during operation often happens. In this paper, a 3-D simulation model of GIS with metal protrusion on basin-type insulator was utilized to study the effect of metal protrusion on the electric field distortion in GIS. It can be concluded from simulation results that the electric field increases with the height of metal protrusion when the radius is constant, while decrease with the increase of radius of metal protrusion. In addition, the metal protrusion near high voltage conductor lead to more severe electric field distortion than that near grounded enclosure. This work is of significance for the actual operation and maintenance of GISs in the power system.
China's wind power development
Authors: Tang Daohan
Published: September 2018

This paper reviews the development of wind power in China. As one of the biggest energyconsuming and the worst environment deterioration countries, Chinese government has been actively exploring wind power instead of traditional energy. In the paper, there are some unique locations selected based on favourable geographical conditions and exploring potential. Moreover, relevant wind power development policies have been clarified. On the basis of current wind power implementation, some key problems in the policies have been pointed out.
Regional differences research on low-carbon economy development in Guangdong province, China – based on chasing decoupling perspective
Authors: Wang Wenxiu , Wang Wenjun , Zhao Daiqing
Published: September 2018

One of obvious characteristics of low-carbon economy is that economic development level and carbon productivity reached a certain high level at the same time. In this article, 21 cities of Guangdong province in China are categorized as region A, B and C based on their economic level and carbon productivity level. Shenzhen city in region A is chosen as “model city”, because it has the highest economic development level and carbon productivity. Chasing decoupling model for other cities to catching up with “model city” is established based on tapio decoupling model. Main results show that most of cities did not catch up with the “model city” during 2005 to 2016. Finally, different low-carbon development proposals are proposed for region A, B and C，respectively. Cities in region A should improve the technology level of energy saving and carbon reduction. Cities in region B should develop high value-added and low carbon industries while strive for ecological compensation funds. In addition to the ecological compensation fund, cities in region C should also develop ecological industry vigorously.
Weight Analysis of Influence Factors and Potential Evaluation Method for Chemical Combination Flooding
Authors: Zhaoxia LIU , Qiang WANG , Desheng MA , Gaoming  , Wanlu LIU
Published: September 2018

In this paper, the weight coefficient of influencing factors for chemical combination flooding is determined by using grey correlation theory. A calculation method for comprehensive evaluation score of chemical combination flooding is established. The influence factor grading and weight grading are combined in this method. By collecting and analysing chemical combination flooding field tests, a prediction method for chemical combination flooding is established by the exponential regression. It reflects the relationship between EOR of the chemical combination flooding and the comprehensive evaluation score. The new method is applied in 6 different reservoirs to evaluate the effect of chemical flooding. The new method determines the weight coefficient of influence factors for chemical combination flooding. It can quickly predict EOR factor of chemical flooding to provide a basis for chemical flooding planning in the field.
Highly compact CsPbBr3 perovskite film decorated by PEO for light-emitting diodes
Authors: Zhang Shulv , Yin Yuhang , Luan Weiling , Liu Mengke
Published: September 2018

Inorganic perovskite light-emitting diodes (PeLEDs) with full coverage and compact films were realized by doping a certain amount of PEO into perovskite emitting layer. The additive PEO (Polyethylene oxide) can not only improve the coverage of films by physically filling the pin-holes of crystal boundaries but also act as a protective layer to passivate the films, which successfully reduce the rate of non-radiative recombination, and enhance photoluminescence quantum yield (PLQY) of the CsPbBr3 films. In addition, PEO can also decrease the surface roughness of the perovskite films. As a result, the addition of PEO can improve the transport capability of carriers in PeLEDs. By optimizing the concentration of PEO, a maximum external quantum efficiency (EQE) of 0.26% and brightness of 1432 cd/m2 were achieved, which is significantly improved compared with previous work. The results presented in this paper shows that the additive PEO in perovskite precursor solution paves a new way for the application in PeLEDs.
Study on performance of old composite pavement reclaimed material in cement stabilized macadam base
Authors: Yang Yuxuan , Xiao Peng , Xu Shanshan , Wang Tong
Published: September 2018

For the old composite pavement, there are two regeneration methods: the overall recycling asphalt pavement and the cement concrete pavement and the Stratified recovery. C-B-3 gradation and cement content of 5% were used. The total content of recycled aggregate is 0, 30%, 50%, 70% and 100% and the proportion of RA and RAP is about 1:2. Through compaction test， unconfined compressive strength test and dry shrinkage test, studying the feasibility of recycling composite pavement to cement stabilized macadam base. The results show that the strength of recycled cement stabilized macadam is generally higher than that of ordinary cement stabilized macadam. The strength of regenerated cement stabilized macadam can meet the strength requirements under most traffic volume of the highways in the standard. The gradation of the mixture by stratified recovery is more uniform and the quality of the mixture can be better controlled. The addition of NA has a negative effect on the dry shrinkage properties of recycled cement stabilized macadam. However, mixing RAP into recycled cement stabilized macadam can reduce the sensitivity of materials to water and enhance the dry shrinkage property of materials.
China Regional Resource and Economic Coordinated Development Research
Authors: yi Liu , Mingrui Zhang , Yinghe Liu
Published: September 2018

Eastern, mid and western China were taken as research objects, and the data from 2007-2016 and evaluating regional resource and economic development were selected in this paper. The result shows that the development level from domestic region fluctuates in small scope with an obvious regional difference during the study period. (Eastern region has the highest level of coordinated development followed by mid and western region.)
Key technology and evaluation management of Green Power Grid construction
Authors: Sun Qiang , Cai Zhenhua , Liu Yangfan , Zhang Jun
Published: September 2018

The construction of Green Power Grid is not only a strong measure responding to national policy to build beautiful China for power grid enterprises, but also one of the social responsibilities they should take. Combining both domestic and international green building standards, this paper is aimed to introduce and summarize the design management, investment research and post-evaluation management in the construction of Green Power Grid of Guangdong Power Grid Corporation.
Spectrophotometric Determination of Methimazole by Silicomolybdenum Blue
Authors: Wen Xinrong , Tu Changqing
Published: September 2018

Under optimum reaction conditions, Ammonium silicomolybdate could be quantitatively reduced to silicomolybdenum blue by hydrosulfuryl(-SH) in methimazole molecule, and the content of methimazole was determinated indirectly through determinating the absorbance of the silicomolybdenum blue. A novel method for the spectrophotometric determination of methimazole by silicomolybdenum blue has been established. The results showed that the maximum absorption wavelength of silicomolybdenum blue is 730 nm, good linear relationship is obtained between the absorbance of silicomolybdenum blue and the concentration of methimazole in the range of 8.000-160.0μg/mL, and the equation of the linear regression is A=0.0757+11.547ρ (mg/mL) with a linear correlation coefficient is 0.9998. This proposed method has been applied to determinate of methimazole in tablets, and the results agree well with those obtained by pharmacopoeial method.
Research on Rotational Resistance Moment of Rotary Energy Recovery Device
Authors: GUO Ang , HUANG Zuo-dong , DING Zai-ran , SHI Yi , JIAO Lei , LENG Jian-xing
Published: September 2018

The effects of operational conditions on the resistance moment of a rotary energy recovery device have been systematically investigated through the computational fluid dynamics in this paper. Based on the structural characteristics of the rotary energy recovery device, the hydro-static bearing was established on both sides of the rotor. Simulation results indicate that for the rotation resistance moment generated by the rotor internal flow path, the rotation speed is linearly positive with the rotational resistance moment. For the rotation resistance moment generated by the clearance flow, the rotation speed is also positively correlated with the rotational resistance moment. The circular clearance size is negatively correlated with the rotation resistance moment, and the endcover fluid film size is negatively correlated with the rotation resistance moment. The boundary speed between laminar flow and turbulent flow was found by comparing the changing trend of rotational resistance moment. The obtained relation between clearance, the speed of the rotor and resistance moment provides a simple way to predict the resistance moment of the device, which will be beneficial to design the energy-efficient rotary energy recovery device
Improvement and application of hole-sealing technology across seams in Song Zao coal mine
Authors: Yang Rili , Zhao Xiaoxia , Yu Lan
Published: September 2018

Through the analysis on the drilling hole gas drainage effect(2225 working face crossing seam drainage, K2air way drilling field layout, crossing seam drainage gas in K3b coal seam),it is found that hole sealing technology directly affects gas drainage. Based on the original hole sealing technology and combining with field conditions, an improved drilling scheme for transportation roadway was proposed, considering the drilling layout, sealing material and depth, grouting time, pre-plunging depth. Test results of the scheme showed that, with a rise in the cost and drilling pressure relief time, the pressuring-relief gas drainage amount was greatly increased, the drilling field pre-pumping concentration was enhanced to 4.4times, the drainage efficiency was improved.
The analysis of vibration response of air-cooled refrigerator excited by reciprocating compressor
Authors: Bao Huaiqian , Han Baokun , Xu Yufeng , Liu Yuechao , Liu Guifang
Published: September 2018

The features of large-capacity and multi temperature zones of air-cooled refrigerators are favored by consumers. However, the vibration of different components caused by the vibrations of different components in the operation process brings certain troubles to people's lives. In order to achieve better vibration and noise reduction of the refrigerator, the vibration characteristics of the air-cooled refrigerator are analyzed under the excitation of compressor, selects four detection points, and uses simulation methods to obtain the excitation of the compressor. In addition to the impact of the vibration source on the refrigerator, the assembly of refrigerator door is also an important factor of the refrigerator vibration. The experimental process has also found that the air-cooled system also has an impact on the vibration and noise generation of the refrigerator.
Early warning analysis of electricity sales based on multi-factor correlation analysis
Authors: Hai CHEN , Yan - yan CUI , li MA , Wei LIU , Jun WANG , Shuai YUAN , Ju Guo , Yi HUANG , Xiao–jing Dong
Published: September 2018

Under the background of the slowdown in macroeconomic growth and the gradual liberalization of the power system reforming market, the competition pressure of power grid companies in the electricity sales market has intensified, and the growth of power sales is not optimistic. It is necessary to conduct research and analysis of electricity sales. This paper conducts the analysis with the following steps: first, determines the leading, coincident, lagging economic indicators based on multi-factor correlation analysis, then synthesizes early warning index, forecasts electricity sales, finally, achieves early warning of external risks to improve the company's management quality of the electricity sales.
Research on short-term electric load forecasting based on extreme learning machine
Authors: Ting Wang , Xueyong Li
Published: September 2018

As an important support for the development of the national economy, the power industry plays a role in ensuring economic operations. Time series prediction can process dynamic data, is widely used in economics and engineering, and especially is of great practical value in using historical data to predict future development. Under the guidance of extreme learning machine and time series theory, this paper applies the extreme learning machine to the study of time series, and builds a model for load forecasting research. Load forecasting plays an important role in power planning, affecting planning operation modes, power exchange schemes, etc., so load forecasting is very necessary in power planning. First, establish an extreme learning machine model; second, the short-term load forecasting is performed by different activation functions to verify the performance of the activation function.1 After empirical analysis, the activation function with the best predictive ability is obtained.
Optimal Charging/discharging Strategy of Electric Vehicles in Residential Area Considering User Comprehensive Satisfaction
Authors: Liu Jilong , Li Ping , Zhong Wentao , Wang Lihua , An Yang , Li Huaqiang
Published: September 2018

At present, the research on charging/discharging of electric vehicles (EVs) lacks consideration of the user experience, particularly with the aspects of user's convenience and profitability. Therefore, this paper analyses the travelling characteristics and travelling demand of EV users in a residential area and establishes the user comprehensive satisfaction model considering travel convenience and charging/discharging economy. Based on this model, a genetic algorithm is used to optimize the charging/discharging strategy of EVs with the aim of maximizing user comprehensive satisfaction, the validity of the proposed optimization model is verified by results of example. The model is also used to study the impact of large-scale EVs charging/discharging optimization strategy on grid load fluctuation. Based on the load data of a residential area, the simulation is carried out, and the influence of different peak-valley prices on EVs charging/discharging strategy is analysed. Our case analysis shows that the load peak-valley difference is reduced. With the increase of peak-valley electricity price, more users discharge during the peak hours and charge during the peak-off hours, the load peak-valley difference and the load fluctuation decrease accordingly.
Comprehensive Evaluation of Smart Grid Development Level Under Electricity Market Layout
Authors: Chen Zhe , An Haiyun , Sun Ze , Cen Bingcheng , Li Si
Published: September 2018

The smart grid is the latest trend and complex scientific issue in the development of power systems in the world today. With the new round of power system reform and the deregulation of the power market, comprehensive and scientific evaluation of the development level of the smart grid plays an important role in achieving the overall goal of smart grid construction. This paper constructed a comprehensive evaluation index system from the aspects of safety and reliability, economy, intelligence level and sustainability of smart distribution network. Then the comprehensive evaluation model of AHPTOPSIS intelligent distribution network was established. Finally, an empirical study on the development level of smart distribution networks of four power companies in a province was carried out, and corresponding conclusions were drawn.
New Energy Vehicles Adoption in the Beijing-Tianjin-Hebei Region
Authors: Bai Xue , Sun Haojie
Published: September 2018

Incentive policies play a key role in the development of new energy vehicles (NEVs) in China. With the analysis of 89 national and Beijing-Tianjin-Hebei (Jing-Jin-Ji) regional NEV policies from January 2006 to June 2018, this paper presents an extended category of subsidy policies. It shows that during the NEV adoption process, more and more emphasis has been laid on indirect subsidies. Although local NEV adoption is uneven and some cities lag behind the national pace to some extent, the regional coordination and integration has potential to boost the popularization of NEVs in an environmental and sustainable way. These findings help to build comprehensive policy systems for the maturity of NEV adoption in the future.
Water Saving Retrofit Device for Squatting Pan Without Trap
Authors: Yi Fangqing , Li Danyang
Published: September 2018

Under the wave of the “toilet revolution” and toilet technology innovation, we started with squatting pan without trap and aimed to achieve the goal of technological innovation and saving water resources by installing water-saving devices on the existing squatting pans. The water-saving reforming device for squatting pans has a simple structure and is easy to install. And the materials used have advanced scientific features. The device can solve the problems of over much water consumption and uncleanness of existing squatting pans. This water-saving device has strong economic value and outstanding environmental performance. Compared with other water-saving solutions, this design takes into account the demands of the entire chain of stakeholders in production, installation and use. Therefore, it can be easily applied and popularized.
Discussion on the Construction of Low Carbon Industrial Park
Authors: Zong Jianfang , Chen Liang , Sun Liang , Guo Huiting
Published: September 2018

The low carbon industrial park is the significant carrier of construction of low carbon cities and development of low carbon economy. Construction and development of low carbon industrial park has a significant meaning to realization China's overall low carbon transformation and ecological civilization. This paper elaborates the connotation and features and analyzes the construction background of low carbon industrial park, and also points out the necessity and significance of the construction of low carbon industrial park. Besides, this paper also provides the domestic and overseas construction experiences of low carbon industrial park, and provides some countermeasures and suggestions about the construction and development of low carbon industrial park.
How States Become Fragile: Relevancy of State Fragility and Climate Change
Authors: Zhang Sirui , Chen Jiebin , Wu Hao-Ning , Ye Shiqi
Published: September 2018

The objective of this article is to develop a main index that is capable of determining a state, s fragility and simultaneously measuring the impact of climate change. Six indexes are defined including a dummy one, which are Political Conditions, Economic Conditions, Social Conditions, Demographic Factor, Public Security and State Unrest (dummy). Five non-dummy indexes are involved four sub-indexes respectively. The sum of these six indexes is reported as State Stability Index (SSI). Entropy method and group decision making serve as weighting models to determine weights of sub-indexes and indexes respectively. A state, s fragility is determined by State Fragility Index (SFI), which is the reciprocal of SSI. Five non-dummy indexes and SFI have their standards obtained by K-means, in order to determine whether a state is fragile, vulnerable or stable.
Research on planning and design strategy of Gully Ecology Park—Take Shanxi's Northern gully Park as an example
Authors: Rongrong Liu , Yuanping Liu
Published: September 2018

The Li Cheng Northern gully Central Park is located between the new and old city of Li Cheng county, Changzhi city, Shanxi province. It is the link between the new and old urban areas and the ecological corridor of the central county. There are villages, water systems and abundant vegetation in the gully. Relying on the rich natural historical resources of the northern gully area, the leisure tourism service is developed, and the red cultural temperament of the area is combined to create a large green space central park, which integrates display, commemoration, sightseeing, rest, office and office. Based on the general idea of “water moisten garden, green shade garden and cultural nourish garden”, we plan to build a homestead rural for urban people.