Ecosystem services provide a variety of benefits for mankind, and their sustainable use plays an important role in achieving the Sustainable Development Goals (SDGs). This study takes Guangxi as research object compares multiple intelligent classification algorithms land cover based on multi-source data. Selects Random Forest (RF) classification, analyses temporal spatial changes, extracted results produce SDG 15.1.1, 15.1.2, 15.1.4 indicators, assess degree completion Guangxi's SDGs 15.2...

There has been increasing interest in the role of human activities disseminating antibiotic-resistance genes (ARGs) aquatic ecosystems. However, influence pollutant accumulation on anthropogenic pollutant-ARG synergistic actions is limited. This study explored association net cages with propagation pollutants and their consequences for influencing enrichment ARGs using high-throughput metagenomic sequencing. We showed that could substantially impact ecology freshwater systems by enhancing i)...

Phenology and productivity are important functional indicators of grassland ecosystems. However, our understanding how intra-annual precipitation patterns affect plant phenology in grasslands is still limited. Here, we conducted a two-year manipulation experiment to explore the responses at community dominant species levels temperate grassland. We found that increased early growing season enhanced above-ground biomass rhizome grass, Leymus chinensis, by advancing its flowering date, while...

The stability of grassland communities informs us about the ability grasslands to provide reliable services despite environmental fluctuations. There is large evidence that higher plant diversity and asynchrony among species stabilizes primary productivity against interannual climate variability. Whether biodiversity functional groups stabilize seasonal variability remains unknown. Here, using 29-year monitoring a temperate grassland, we found lower community temporal with (temperature...

In the paper, LMD (Local mean Decomposition) and EMD(Empirical Mode method are selected to denoise sensible earthquake signal, paper analyzes resulting conclusions compares denoising performance of two methods. Experimental results show that EMD can both achieve capabilities for signals self-adaptively improve quality with noise simultaneously. Two parameters, Correlation Coefficient (NC) Signal Noise Ratio(SNR), adopted evaluate algorithms. Corresponding data indicates components obtained...

Abstract Understanding the factors that regulate functioning of our ecosystems in response to environmental changes can help maintain stable provisioning ecosystem services mankind. This is especially relevant given increased variability conditions due human activities. In particular, maintaining a production and plant biomass during growing season (intra‐annual stability) despite pervasive directional temperature precipitation through time secure food supply wild animals, livestock, humans....

This paper presents a genetic algorithms approach for the optimization of fed-batch penicillin fermentation process. A customized float-encoding algorithm is developed and implemented to benchmark Off-line initial conditions set points are carried out in two stages single variable multiple variables. Further investigations with online have been demonstrate that yield can be significantly improved an optimal feed rate profile. The results shown proposed approaches successfully applied...

While assess the bonding quality of thin plate, it is quite difficult to extract characteristics echoes for analysis because weakening defect which were interfered by high reflection metal layer and noise. Target on non-stationary time variant characteristic echoes, this paper propose use short Fourier transformation methods conduct these kinds assessment. First, constructs a mathematical model simulate different levels debonding. These simulation data provide theoretical base quantitative...

Understanding of the dynamic patterns plant water use in a changing environment is one foci ecology, and can provide basis for development best practice restoration protection ecosystem. We studied sources three coexisting dominant species Leymus chinensis, Stipa grandis Cleistogenes squarrosa growing both enclosed mowing grassland typical steppe. The oxygen stable isotope ratios (δ 18 O) soil stem these were determined, along with moisture, before after precipitation events. results showed...

As one of approaches sewage disposal, activated sludge method is the most well-known technique in present world that has been used primarily industrial organic disposal and municipal secondary disposal. Considering complexity particularity process, this paper proposes a named PCA(PCA-Principal component analysis), which can be to eliminate nonlinear correlation between every two variates reduce noise influence as well detect diagnose faults process by using T <sup...

When analyzing non-stationary and nonlinear signals, empirical mode decomposition (EMD) has a very important advantage. However, it serious problem, which is the endpoint effect. Mirror continuation an effective method of restraining effect, but when processing effect with mirror continuation, we demand placed at local extreme points. According to this limitation, paper proposes improved method. Namely, assume two endpoints signals are maximum or minimum points according condition before...

Aiming at the problems in pattern recognition of bonding defect thin composite materials, a new fuzzy neural network (FNN) method was proposed via taking full advantage processing information and self-learning (NN) recognition. The structure characteristics realization approach algorithm were discussed detailed. results indicated that could effectively recognize also lay foundation for quantization results.

This paper discusses the soccer robot orientation method which is based on sight, and locates by using color shape as well establishes threshold segmentation, edge detection model of Hough transform for circle with an emphasis in segmentation transform. Several methods are used evident difference images processed different exists, this proposes Otsu self-adaptive algorithm, performs precision anti-interference, main segmentation. Considering many defects circular object detection, gradient,...

There are abundant of fault information in rotating machinery vibration signal. On account the nonlinearity and non-stationarity, paper first does pre-process to signal using wavelet threshold denoising method this can bring a smooth Then it decomposes local mean decomposition(LMD), which is effective The LMD into many PFs as frequency from high low. These composed production envelop pure modulated Finally, takes most use kurtosis sensitive impact. By calculating PF, assess distribution...

This study investigates the dynamic shifts in soil bacterial communities within a

As we all know, brush less DC motor, which has been widely used in industrial control fields, the characteristic of simple, reliable and easy to maintain, as well high efficiency without mechanical change, easy-to-be high-capacity, speed, etc. TMS320F28335, is newest 32-bit float point DSP produced by TI company, best chip domain motion control. On basis summary for development application motor speed-variable system, this thesis introduces a system uses TMS320F28335 commutation speed BLDCM....

This paper studies an algorithm of characteristic extraction ultrasonic detection based on wavelet transformation. The object is thin composite plate. At first, we discuss and composing principle the detail echo signal, this a math model designed. And then, transformation used to process signal defect different viscid quality, extract about energy dimension in time-frequency domain. Simulation by Matlab proves that can recognize signals effectively, it helpful quantitative recognition.

This paper proves the property of Otsu algorithm is equally applicable to two-dimensional algorithm, that threshold value method average means two classes partitioned by this threshold. On basis property, improved into an iterative firstly, which reduces time consumption greatly. Secondly, proposes a twice segmentation recognize translucent foreign fibers are undetectable reasonably for now, such as gray polypropylene yarn. Experimental results show that, ensured meet real-time, overall...

Color feature and its measurement are important foundations means in evaluating product quality widely used the food, pharmaceutical, industry agriculture fields. The paper implements identification of heterochrome objects particle materials based on color feature. According to model classification from view application, it selects RGB HSI extract features. Then uses Ohta model, considering influence effect caused by correlation each component. histogram, matrix wavelet packet transform It...

Endpoint detection is the key technology in system of speech identification. As an object experiment and research, Mongolian attracts more researchers. It significant for development identification to apply endpoint speech. Support Vector Machine (SVM) a kind new field Data Mining, this paper applies C-SVM speech, overcomes some trivial problems inaccuracy provoked by setting threshold. Through on signal, short-time energy, average zero-crossing ratio Mel-Frequency Cepstrum Coefficient...

This paper mainly proposes the method of locating robot based on vision and uses color patch to locate robot. The knowledge about image sharpening smoothing with emphasis RGB vector analysis algorithm is introduced in this paper. In preprocessing for colorful image, main includes sharpening, has many ways; different ways have effect. Laplacian operator, which does best eliminating noise anti- disturbance, sharpen image. testing target, work identify directly, saving transformation time...