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Network capability exposure is an essential 5G network application. The flexible service-based architecture of the 5G core (5GC) network becomes the basement for the application of 5G network capabilities. In addition, it becomes a tendency to build a cooperative and win-win innovative business model between telecom networks and 3rd party companies/affiliations. In this paper, we focus on 5GC network capability application. Initially, this paper analyzes the scenarios and use cases as well as their corresponding 5GC network capability requirements. Then, this paper introduces the 5GC network exposure architecture and functions. In addition, this paper proposes an improved traffic influence capability exposure method. According to the 5GC lab experimental test, the end-to-end service transfer delay and rate have been improved. The proposed traffic influence capability exposure method can assist telecom operators for the 5GC network capability application and deployment.

With the recent increases in atmosphere aerosol concentration, its impact on agriculture in China is of considerable concern for scientific community. In this study, the effects that aerosols have on radiation and consequently the production of maize in China were investigated from 2002 to 2014 using the AErosol RObotic NETwork (AERONET) data, Second Simulation of a Satellite Signal in the Solar Spectrum radiative transfer (6S) model, and Agricultural Production Systems sIMulator (APSIM) model. Ten stations in the maize planting areas including Beijing, Xianghe, Taihu, Nanjing, Shanghai, Hefei, Baotou, Lanzhou, Qinghaihu, and Xuzhou stations were selected. The results showed that the APSIM-maize model, which was further calibrated, was able to simulate the interactions between maize and the climatic constraints in the maize planting areas of China. Our results indicated that aerosols obviously reduced the amount of solar radiation reaching the surface during the maize growing season in China. We also found that the aerosols have negative effects on both biomass and yield of maize in China at ten stations. The average annual maize biomass during the maize growing season from 2002 to 2014 decreased by 23.70%. The average yield of maize from 2002 to 2014 decreased by 15.10%. However, the influence of aerosol on different varieties of maize varied. We found the aerosols had greater negative impacts on summer maize than on spring maize. For spring maize, the average biomass and yield from 2002 to 2014 decreased by 10.36% and 5.16%, respectively. However, as for the summer maize, the average biomass and yield from 2002 to 2014 were reduced by 19.72% and 20.56%, respectively. Our findings can provide a useful method for estimating the effect of aerosols on crops at the national level, supporting local agricultural production in coping with the ongoing climate change.

In this paper a method for building detection in aerial images based on variational inference of logistic regression is proposed. It consists of three steps. In order to characterize the appearances of buildings in aerial images, an effective bag-of-Words (BoW) method is applied for feature extraction in the first step. In the second step, a classifier of logistic regression is learned using these local features. The logistic regression can be trained using different methods. In this paper we adopt a fully Bayesian treatment for learning the classifier, which has a number of obvious advantages over other learning methods. Due to the presence of hyper prior in the probabilistic model of logistic regression, approximate inference methods have to be applied for prediction. In order to speed up the inference, a variational inference method based on mean field instead of stochastic approximation such as Markov Chain Monte Carlo is applied. After the prediction, a probabilistic map is obtained. In the third step, a fully connected conditional random field model is formulated and the probabilistic map is used as the data term in the model. A mean field inference is utilized in order to obtain a binary building mask. A benchmark data set consisting of aerial images and digital surfaced model (DSM) released by ISPRS for 2D semantic labeling is used for performance evaluation. The results demonstrate the effectiveness of the proposed method.

In this study, we present a simple ultraviolet (UV) light photodiode by transferring a layer of graphene film on single-crystal ZnO substrate. The as-fabricated heterojunction exhibited typical rectifying behavior, with a Schottky barrier height of 0.623 eV. Further optoelectronic characterization revealed that the graphene-ZnO Schottky junction photodiode displayed obvious sensitivity to 365-nm light illumination with good reproducibility. The responsivity and photoconductive gain were estimated to be 3×104 A/W and 105, respectively, which were much higher than other ZnO nanostructure-based devices. In addition, it was found that the on/off ratio of the present device can be considerably improved from 2.09 to 12.1, when the device was passivated by a layer of AlOx film. These results suggest that the present simply structured graphene-ZnO UV photodiode may find potential application in future optoelectronic devices.

Understanding regional relationships between climate change and crop yield will help with making the strategic decisions for food security in China under climate change. In this study, the contributions of climate change to spring maize yield over the past three decades in Northeast China were decoupled based on the daily climate variables gathered from 68 meteorological stations and detailed observed data of spring maize from 55 agricultural meteorological experimental stations for the period 1978–2010 in Northeast China, analyzed with a linear statistical model. Then, the key climatic factors limiting the climate-induced yield of spring maize were identified. The agro-climatic similarity theory was applied. Finally, the relationships between the climatic variables and the climate-induced yield of spring maize were further explored by provinces. The results show that: from 1978 to 2010, the observed yields of spring maize in Northeast China increased markedly, with inter-annual fluctuations. Compared with the methods of moving average and harmonic average, Logistic regression optimally decoupled the climate-induced yield of spring maize. The key meteorological factors limiting the climate-induced yield were temperature, precipitation and sunshine, varying in the different regions. In Heilongjiang Province, the climate-induced yields of spring maize were mainly affected by maximum temperatures in August and precipitation in June. In Jilin Province, climate-induced yield was closely related to precipitation during daily the average temperature stably passing 10 °C (≥10 °C). In Liaoning Province, when the maximum temperature was high and the sunshine was abundant in June, the climate-induced yield of spring maize significantly increased. Finally, the regression models between climatic variables and climate-induced yield of spring maize in 11 representative zones in Northeast China also established geographical differences.

To learn the effects of climate change on cultivation patterns of spring maize and its suitability will benefit the strategic decisions for future agricultural adaptation. In this paper, based on the daily data from 68 meteorological stations and 82 agro-meteorological observation stations in Northeast China between 1961 and 2010, the cultivation pattern of spring maize and its climatic suitability in Northeast China were investigated. The agricultural climatic suitability theory was applied. The specific growth phases of spring maize that were most sensitive to environmental limitations were further divided into four stages: from germination to emergence, from emergence to jointing, from jointing to tasseling, and from tasseling to maturity. The average resource suitability index (Isr) was established to evaluate the effects. Higher values of Isr indicate a higher degree of climatic resource suitability. Over the past five decades, the northern planting boundaries of different maturities (late, medium-late, medium, medium-early and early) of spring maize varieties in Northeast China all markedly extended northward and eastward. Of all the varieties, the medium-late maturity variety had the most expanded planting area. This further illustrated the importance of promoting medium-late range heat-tolerant cultivars of spring maize in reducing the unfavorable effect of climate change in the near future in Northeast China. In addition, the most significant extension was found in the early 21st century. Moreover, the southern planting boundaries of unsuitable planting spring maize areas continually compressed northward from the Tonghe County of Heilongjiang Province (128°49′, 46°21′) to the Huma County of Heilongjiang Province (124°11′, 51°26′). Climate change affected not only the planting patterns of spring maize, but also the climatic suitability of spring maize. Significant temporal and spatial changes of Isr from 1961 to 2010 were found. The Isr showed increasing trends, which increased by 0.19 in Heilongjiang Province, 0.16 in Jilin Province and 0.12 in Liaoning Province. Spatial differences of Isr were obvious, with high values shifting northeastward over the past 50 years, indicating more efficient suitability of agricultural climatic resources in Northeast China.

Quantitatively evaluating the effects of adjusting cropping systems on the utilization efficiency of climatic resources under climate change is an important task for assessing food security in China. To understand these effects, we used daily climate variables obtained from the regional climate model RegCM3 from 1981 to 2100 under the A1B scenario and crop observations from 53 agro-meteorological experimental stations from 1981 to 2010 in Northeast China. Three one-grade zones of cropping systems were divided by heat, water, topography and crop-type, including the semi-arid areas of the northeast and northwest (III), the one crop area of warm–cool plants in semi-humid plain or hilly regions of the northeast (IV), and the two crop area in irrigated farmland in the Huanghuaihai Plain (VI). An agro-ecological zone model was used to calculate climatic potential productivities. The effects of adjusting cropping systems on climate resource utilization in Northeast China under the A1B scenario were assessed. The results indicated that from 1981 to 2100 in the III, IV and VI areas, the planting boundaries of different cropping systems in Northeast China obviously shifted toward the north and the east based on comprehensively considering the heat and precipitation resources. However, due to high temperature stress, the climatic potential productivity of spring maize was reduced in the future. Therefore, adjusting the cropping system is an effective way to improve the climatic potential productivity and climate resource utilization. Replacing the one crop in one year model (spring maize) by the two crops in one year model (winter wheat and summer maize) significantly increased the total climatic potential productivity and average utilization efficiencies. During the periods of 2011–2040, 2041–2070 and 2071–2100, the average total climatic potential productivities of winter wheat and summer maize increased by 9.36%, 11.88% and 12.13% compared to that of spring maize, respectively. Additionally, compared with spring maize, the average utilization efficiencies of thermal resources of winter wheat and summer maize dramatically increased by 9.2%, 12.1% and 12.0%, respectively. The increases in the average utilization efficiencies of precipitation resources of winter wheat and summer maize were 1.78 kg hm −2 mm −1 , 2.07 kg hm −2 mm −1 and 1.92 kg hm −2 mm −1 during 2011–2040, 2041–2070 and 2071–2100, respectively. Our findings highlight that adjusting cropping systems can dominantly contribute to utilization efficiency increases of agricultural climatic resources in Northeast China in the future.

Exploring the dynamics of the utilization of agricultural climatic resources (i.e., environmental factors that affect crop productivity such as light, temperature, and water) can provide a theoretical basis for modifying agricultural practices and distributions of agricultural production in the future. Northeast China is one of the major agricultural production areas in China and also an obvious region of climatic warming. We were motivated to analyze the utilization dynamics of agricultural climatic resource during spring maize cultivation from 1961 to 2010 in Northeast China. To understand these dynamics, we used the daily data from 101 meteorological stations in Northeast China between 1961 and 2010. The demands on agricultural climatic resources in Northeast China imposed by the cultivation of spring maize were combined and agricultural climatic suitability theory was applied. The growth period of spring maize was further detailedly divided into four stages: germination to emergence, emergence to jointing, jointing to tasseling, and tasseling to maturity. The average resource utilization index was established to evaluate the effects. Over the past five decades, Northeast China experienced increases in daily average temperature of 0.246 °C every decade during the growing season (May–September). At the same time, strong fluctuating decreases were observed in average total precipitation of 8.936 mm every decade and an average sunshine hour of 0.122 h every decade. Significant temporal and spatial changes occurred in K from 1961 to 2010. The K showed decreasing trends in Liaoning province and increasing trends in Jilin and especially in Heilongjiang province, which increased by 0.11. Spatial differences were visible in different periods, and the most obvious increase was found in the period 2001–2010. The areas with high values of K shifted northeastward over the past 50 years, indicating more efficient use of agricultural climatic resources in Northeast China.

Crop yields are affected by climate change and technological advancement. Objectively and quantitatively evaluating the attribution of crop yield change to climate change and technological advancement will ensure sustainable development of agriculture under climate change. In this study, daily climate variables obtained from 553 meteorological stations in China for the period 1961–2010, detailed observations of maize from 653 agricultural meteorological stations for the period 1981–2010, and results using an Agro-Ecological Zones (AEZ) model, are used to explore the attribution of maize (Zea mays L.) yield change to climate change and technological advancement. In the AEZ model, the climatic potential productivity is examined through three step-by-step levels: photosynthetic potential productivity, photosynthetic thermal potential productivity, and climatic potential productivity. The relative impacts of different climate variables on climatic potential productivity of maize from 1961 to 2010 in China are then evaluated. Combined with the observations of maize, the contributions of climate change and technological advancement to maize yield from 1981 to 2010 in China are separated. The results show that, from 1961 to 2010, climate change had a significant adverse impact on the climatic potential productivity of maize in China. Decreased radiation and increased temperature were the main factors leading to the decrease of climatic potential productivity. However, changes in precipitation had only a small effect. The maize yields of the 14 main planting provinces in China increased obviously over the past 30 years, which was opposite to the decreasing trends of climatic potential productivity. This suggests that technological advancement has offset the negative effects of climate change on maize yield. Technological advancement contributed to maize yield increases by 99.6%–141.6%, while climate change contribution was from −41.4% to 0.4%. In particular, the actual maize yields in Shandong, Henan, Jilin, and Inner Mongolia increased by 98.4, 90.4, 98.7, and 121.5 kg hm−2 yr−1 over the past 30 years, respectively. Correspondingly, the maize yields affected by technological advancement increased by 113.7, 97.9, 111.5, and 124.8 kg hm−2 yr−1, respectively. On the contrary, maize yields reduced markedly under climate change, with an average reduction of −9.0 kg hm−2 yr−1. Our findings highlight that agronomic technological advancement has contributed dominantly to maize yield increases in China in the past three decades.

This paper presents a LED display system triggered by the natural wind which can be used for ice lantern, the system includes a signal detection unit, control unit and LED display unit. When the system detects a natural wind signal , the center control module will make a signal processing for the signal, LED display module set the display mode according to the results of processing options, the display modes include the following, the LED lamps sequentially turned on in accordance with wind direction, or make the pattern presetting on the LED array move with the natural wind direction , when the natural wind signal is very weak, system will control LED array display static pattern. A stable system model is realized in accordance with the design requirements, after testing, system performance is stable, reached the set requirements.

A simulation system for intertidal zone environment that can be remotely monitored is proposed. The system is divided into the two parts of remote control center and environment simulator, which are interconnected through wireless network technology. The remote control center performs remote monitoring through upper machine software, while the environment simulator can simulate natural environments such as ocean tides, water temperature and light illumination in different types of intertidal zones. Users can change and access the environmental parameters and data of the environment simulator by making instructions at the remote control center. A stable system is realized in accordance with the design requirements, and actual tests show that main features of the simulated natural environment in intertidal zones are very close to actual environment.

In this paper, Using CSMC 0.5μm CMOS process to design each sub-module, the circuit simulation, and adjustment and validation of parameters have been carried out by simulation tools. The low static power and high conversion efficiency charge pump LED driver circuit has been designed. The circuits nucleus module is adaptive charge pump (1x/1.5x/2x charge pump), to converse a wider range of input voltage to a constant output voltage with high efficiency. This circuit only needs some external capacitors, and dont need inductor. So it reduces EMI electromagnetic interference and application cost, etc.

In recent years, the economy grows rapidly in Jilin province, and people’s life improves steadily, but at the same time, people has to face a sever employment situation. The changes on trend and characteristics of employment elasticity become flexible and fuzzy to predict with the development of society. By using linear regression methodology, employment situation of Jilin province is analyzed by taking primary industry employment elasticity, secondary industry employment elasticity, and tertiary industry employment elasticity into account. The calculation results show that three strata of industry employment elasticity has an increasing trend, and the total elasticity of employment is mainly driven by the second and tertiary industries.

X-ray diffraction patterns of graphite oxide (GO) are theoretically simulated as a function of the displacements of carbon atoms using the Debye—Waller factor in terms of the Warren—Bodenstein equation. The results demonstrate that GO has the turbostratically stacked structure. The high order (00l) peaks gradually disappear with the increase in atomic thermal vibrations along c-axis while the (hk0) ones weaken for the vibrations along a-axis. When the displacement deviation ua = 0.015 nm and uc = 0.100 nm the computed result is consistent with the experimental measurements.