Transformer Coupling Research Articles

Improving model capability in simulating spatiotemporal variations and flow contributions of nitrate export in tile-drained catchments

It is essential to identify the dominant flow paths, hot spots and hot periods of hydrological nitrate-nitrogen (NO3-N) losses for developing nitrogen loads reduction strategies in agricultural watersheds. Coupled biogeochemical transformations and hydrological connectivity regulate the spatiotemporal dynamics of water and NO3-N export along surface and subsurface flows. However, modeling performance is usually limited by the oversimplification of natural and human-managed processes and insufficient representation of spatiotemporally varied hydrological and biogeochemical cycles in agricultural watersheds. In this study, we improved a spatially distributed process-based hydro-ecological model (DLEM-catchment) and applied the model to four tile-drained catchments with mixed agricultural management and diverse landscape in Iowa, Midwestern US. The quantitative statistics show that the improved model well reproduced the daily and monthly water discharge, NO3-N concentration and loading measured from 2015 to 2019 in all four catchments. The model estimation shows that subsurface flow (tile flow + lateral flow) dominates the discharge (70–75%) and NO3-N loading (77–82%) over the years. However, the contributions of tile drainage and lateral flow vary remarkably among catchments due to different tile-drained area percentages and the presence of farmed potholes (former depressional wetlands that have been drained for agricultural production). Furthermore, we found that agricultural management (e.g. tillage and fertilizer management) and catchment characteristics (e.g. soil properties, farmed potholes, and tile drainage) play important roles in predicting the spatial distributions of NO3-N leaching and loading. The simulated results reveal that the model improvements in representing water retention capacity (snow processes, soil roughness, and farmed potholes) and tile drainage improved model performance in estimating discharge and NO3-N export at a daily time step, while improvement of agricultural management mainly impacts NO3-N export prediction. This study underlines the necessity of characterizing catchment properties, agricultural management practices, flow-specific NO3-N movement, and spatial heterogeneity of NO3-N fluxes for accurately simulating water quality dynamics and predicting the impacts of agricultural conservation nutrient reduction strategies.

Enhancing magnetocaloric properties of NiMnGa-based alloys via Dy micro-alloying and pseudoelastic cyclic training

Considerable interest to improve magnetic entropy change (ΔSm) and broaden working temperature interval (WTI) of NiMnGa ferromagnetic shape memory alloys (FESMAs) was stimulated by their applications as promising candidate materials for solid-state refrigeration. In the present study, we presented an approach to enhance the magnetocaloric properties of polycrystalline NiMnGa FESMAs via combining Dy micro-alloying and pseudoelastic cyclic training. The introduction of Dy elements established stable magneto-structural coupling transformation from the paramagnetic austenite to ferromagnetic martensite, accompanied by a large ΔSm [−16.42 J/(kg K)] and a widened WTI (∼15.98 K). Fascinatingly, it was demonstrated that the internal strain fields at phase interface between matrix and DyNi4Ga precipitates could assist the phase transformation nucleation, which significantly reduced the hysteresis loss from 20.84 J/kg of Ni54Mn25Ga21 alloy to 8.14 J/kg of Ni54Mn25Ga20.7Dy0.3 alloy. More importantly, the subsequent pseudoelastic cyclic training produced a strong ⟨110⟩NM preferred crystallographic orientation, which facilitated the magnetic alignment along easy magnetization axis. Consequently, the giant ΔSm value up to −24.25 J/(kg K) and effective refrigeration capacity RCeff of 198.77 J/kg were further achieved in the trained Ni54Mn25Ga20.7Dy0.3 alloy under an external magnetic-field change of 5.0 T.

Insights into the high magnetic field-induced austenite formation in medium manganese steel

The mechanism of austenite formation in medium Mn steel tempered at 700 °C for 3 h without and with a 12 T magnetic field was investigated. The application of magnetic field results in lattice distortion of the martensite matrix, implying the presence of fewer interstitial carbon atoms embedded in the martensite matrix. The decreased interstitial carbon atoms are either free in the matrix or involved in the formation of nanoscale carbides, both of which prepare for the growth of carbides and the austenite formation. Meanwhile, doping of Mn enables the paramagnetic austenite to undergo a magneto-structural coupling transformation (i.e., paramagnetic γ-Fe transforms into weakly ferromagnetic γ-FeMn). The external field-induced change of the magnetic free energy emphasizes the probability for austenite formation, which agrees well with the experimental results.

An Exploration on Copper‐Based Metal‐Organic Frameworks as Propitious Heterogeneous Catalyst for Coupling Reactions

AbstractMetal‐organic frameworks (MOFs) have been considered as adaptable alternatives of interest in catalytic reactions. Modern MOFs research and advancements strongly support their employment as catalysts to produce significant organic molecules. Concerning how such substances might be utilized in heterogeneous catalysis, the entire potency of MOFs in value‐added organic transformations must be thoroughly investigated. Standard MOFs components including encapsulation materials, linkers, metal‐nodes, and coated structures frequently provide effective catalytic active sites that provide ways to lessen human efforts to implement novel natural reactions. The significant aspects of using MOFs as recyclable catalysts are their convenient fabrication, consistent porosity, substantial pore volume, reusability and durable framework in addition to cost‐effectiveness. Since MOFs were extensively explored, they may have been used to fabricate medicinal active compounds through coupling and organic transformations. In this review, several Cu‐based MOFs are examined along with their catalytic attributes that assist with the selective fabrication of the product organic moieties via various cross‐coupling reactions.

Inductively coupled distributed static compensator for power quality analysis of distribution networks

<span lang="EN-US">In this research paper, an inductively coupled distributed static compensator (IC-DSTATCOM) for three phase three wire (3P3W) electric power distribution system (EPDS) is proposed. The contraction of power quality (PQ) was marked as a perilous droop mode bump into direct coupled distributed static compensator (DC-DSTATCOM). To regain the PQ, inductive coupling transformer is assisted in conjunction with DC-DSTATCOM. The system equivalent circuit of IC-DSTATCOM is accomplished by take into account of impedance of both transformer and DC-DSTATCOM to reveal the filtering technique. The filtering </span><em><span lang="EN-US">icos</span><span lang="EN-US">∅</span></em><span lang="EN-US"> mechanism is performed by following the generalized mathematical approach using MATLAB/Simulink. A case education is reviewed in detail to illustrate the performance of both DC-DSTATCOM and IC-DSTATCOM. The IC-DSTATCOM is amplified healthier as compared to other in terms of harmonics shortening, good power factor, load balancing, and potential regulation. To examine the effectiveness, simulation outputs of the IC-DSTATCOM with different PQ parameter indices are presented by following the benchmark measure of IEEE-2030-7-2017 and IEC-61000-1 system code.</span>

Realistic 3-D Particle-In-Cell Simulation of a Medical 2.1 MW 40-Vane X-Band Coaxial Magnetron

A medical 2.1 MW 40-vane <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula> -band coaxial magnetron is designed and analyzed using a 3-D particle-in-cell (PIC) simulation. For realistic simulation, the magnetic field profile from the 3-D magnetic circuit and the structure of the output window are included in the simulation. A frequency tuner is located inside the coaxial resonator to control the operating frequency, and the output power is measured at the WR-112 waveguide located behind the output window. Using the operating conditions with an anode voltage of 35.8 kV and a magnetic field of 0.595 T, a maximum output power of 2.1 MW with an efficiency of 53.6% is measured in the stable <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pi $ </tex-math></inline-formula> -mode resulting from the 20-electron spokes. The frequency tuner is moved down and up by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pm 300 \mu \text{m}$ </tex-math></inline-formula> along the axial direction, and the frequency bandwidth is 72 MHz from 9.272 to 9.344 GHz with the tuning parameter of 0.12 MHz/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> . In addition, the output performance is simulated to investigate the effect of dimensional parameters such as the coupling slot width and transformer length.

One- and Two-Electron Redox Catalysis with Lutetium Enabled by a Tris(Amido) Redox-Active Ligand

Recently rare earth elements have been used to catalyze alkyl–alkyl cross coupling and other organic transformations. Herein we report the synthesis and characterization of a tris(amido) Lu complex, 1-Lu, analogous to the Sc and Y rare earth complexes known to participate in these transformations. Complex 1-Lu displays similar solid state structural properties as its Group 3 congeners, but EPR spectroscopy reveals differing behavior. 1-Lu also was found to break the trends of reaction rates related to oxidation potential and is able to catalyze an alkyl–alkyl cross-coupling reaction faster than the Sc and Y analogs. The complex 1-Lu was also demonstrated to participate in two-electron redox catalysis.

山区社会-生态系统转型测度——以三峡典型库区为例

PDF HTML阅读 XML下载 导出引用 引用提醒 山区社会-生态系统转型测度——以三峡典型库区为例 DOI: 10.5846/stxb202111233301 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（41661020）；重庆市技术创新与应用发展专项（cstc2019jscx-gksbX0060）；重庆市教育委员会人文社会科学研究项目（19JD026）；重庆师范大学研究生科研创新项目（YKC21037） Measurement of mountain social-ecological system transformation: Taking the typical Three Gorges Reservoir Area as an example Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:三峡库区是集农村和山区为一体的社会-生态系统，研究其系统内部的相互作用和系统间的耦合转型有利于推动库区高质量的可持续发展。通过构建社会-生态系统耦合转型研究框架，采用地形位指数、耦合协调度模型等方法，以库区腹地草堂溪流域为例，揭示其社会-生态系统转型与否、转型路径的多样性及其驱动机制。结果表明：（1）2000-2020年三峡库区社会-生态系统数量-结构-功能均发生了显著变化，表明库区社会-生态系统发生了转型；（2）库区低地形位社会-生态系统表现为由社会生态型向生态经济型转变，中地形位表现为由生态社会型向生态主导、生态经济为辅转变，高地形位则表现为由生态调节型愈加趋向于生态主导型；（3）农户和政府需求变化是驱动社会-生态系统由传统耕地种植系统向新型经果林种植系统转型的根本因素；（4）研究方法证实对山区具有普适性，构建的研究框架较适合刻画山区社会-生态系统转型路径，在其他地方也能同样适用。 Abstract:The Three Gorges Reservoir Area is a social-ecological system integrating rural and mountainous areas. Studying the interaction within the system and the coupling transformation between the systems is conducive to promoting the high-quality sustainable development of the reservoir area. By constructing the research framework of social-ecological system coupling transformation, using the methods of topographic potential index and coupling coordination degree model, so as to reveal whether the social-ecological system transformation is or not, the diversity of transformation paths and its driving mechanism in the Three Gorges Reservoir Area. The results show that:(1) from 2000 to 2020, the quantity, structure and function of the social-ecological system in the Three Gorges Reservoir Area have changed significantly, indicating the transformation of the social-ecological system in the reservoir area. (2) The social-ecological system of the lowland position in the reservoir area changed from social-ecological type to ecological economy type, the median position changed from ecological social type to ecological dominant and ecological economy supplemented, and the highland changed from ecological regulation type to ecological dominant type. (3) The change of farmers' and government's demand is the fundamental factor driving the transformation of social-ecological system from traditionally cultivated land planting system to new economic fruit forest planting system. (4) The research method of this paper proves that it is universal to mountainous areas, and the research framework is more suitable to describe the transformation path of social-ecological system in mountainous areas, which can also be applied in other places. 参考文献 相似文献 引证文献

Misalignment Tolerance Improvement for Loosely Coupled Transformer of IPT Systems via an Intermediate Coil With Detuned Compensation

Misalignment Tolerance Improvement for Loosely Coupled Transformer of IPT Systems via an Intermediate Coil With Detuned Compensation

2D spot size converter using a multilevel asymmetric coupler MAC structure for Si photonics planar technology

In this work, we present an architecture for the design of an integrated optical spot size converter using planar technology. The proposed architecture is based on the use of multilevel planar structures without using vertical tapers. The function of the vertical taper is replaced by a horizontal taper and a multilevel asymmetric coupler structure. The proposed technique, used to couple a single-mode fiber with a core diameter of 8.2 µm to a silica-over-silicon waveguide with a 2 µ m × 4 µ m cross section, has a coupling efficiency greater than 98% without the need for a vertical coupler. The coupling transformation of the spot of the standard 500 n m × 220 n m Si photonics waveguide to the fundamental mode of a 1 µ m × 1 µ m waveguide is also demonstrated with a coupling efficiency greater than 92%. This technique offers very high flexibility in the coupling between different waveguides with different cross sections.

CuI Catalyzed Regio‐ and Stereo‐selective Hydroboration of Ynamides: α‐ and β‐Borylation via Hydro‐Cupration and Borylation

AbstractA CuI‐catalyzed hydrocupration and borylation protocol for the regio‐ and stereoselective borylation of ynamides utilizing pinacolatoborane (HBpin) as the borylating agent has been developed. The reaction features mild conditions, good substrate scope and functional group tolerance‐representing a highly efficient and practical method for the synthesis of regio‐ and stereoselective tri‐substituted alkenylboronates from readily available ynamides. The regioselectivity is controlled by altering substituents on the ynamides (alkyl vs aryl) and utilizing a catalytic species [LCuH] generated in situ from HBpin and [LCuX]. Suzuki coupling and other transformations highlight the synthetic utility of the method.

Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification

Hyperspectral sensors provide an opportunity to capture the intensity of high spatial/spectral information and enable applications for high-level earth observation missions, such as accurate land cover mapping and target/object detection. Currently, convolutional neural networks (CNNs) are good at coping with hyperspectral image processing tasks because of the strong spatial and spectral feature extraction ability brought by hierarchical structures, but the convolution operation in CNNs is limited to local feature extraction in both dimensions. In the meanwhile, the introduction of the Transformer structure has provided an opportunity to capture long-distance dependencies between tokens from a global perspective; however, Transformer-based methods have a restricted ability to extract local information because they have no inductive bias, as CNNs do. To make full use of these two methods’ advantages in hyperspectral image processing, a dual-flow architecture named Hyper-LGNet to couple local and global features is firstly proposed by integrating CNN and Transformer branches to deal with HSI spatial-spectral information. In particular, a spatial-spectral feature fusion module (SSFFM) is designed to maximally integrate spectral and spatial information. Three mainstream hyperspectral datasets (Indian Pines, Pavia University and Houston 2013) are utilized to evaluate the proposed method’s performance. Comparative results show that the proposed Hyper-LGNet achieves state-of-the-art performance in comparison with the other nine approaches concerning overall accuracy (OA), average accuracy (AA) and kappa index. Consequently, it is anticipated that, by coupling CNN and Transformer structures, this study can provide novel insights into hyperspectral image analysis.

Coupling precipitation strengthening and transformation induced plasticity to produce a superior combination of strength and ductility in a high entropy alloy

The strength-ductility trade-off has always been a difficult issue in the development of highperformance structural materials. In this work, a new non-equiatomic Fe37.5Ni30Co22.5Al5Ti5 (at%) high entropy alloy (HEA) was developed, which shows both excellent strength and ductility. The yield strength of the aged HEA reached 1094 MPa, which is more than twice that of the solid-solution HEA, while the ultimate tensile strength was 1275 MPa, and the elongation to failure was ∼38%. The high yield strength resulted from precipitation strengthening provided by a high number density of L12-Ni3(Al, Ti) nanoprecipitates. Both a small grain size and the nanoprecipitates can induce high local stresses, enhancing the phase transformation from face-centered cubic (FCC) to martensite that occurs in this HEA, and which can lead to the good ductility. As much as possible to keep strength-ductility through the coupling between precipitation strengthening and TRIP effect is a suitable strategy to overcome the strength and ductility trade-off.

Infrastructure and city ontologies

The creation and use of ontologies has become increasingly relevant for complex systems in recent years. This is because of the growing number of use of cases that rely on real-world integration of disparate systems, the need for semantic congruence across boundaries and the expectations of users for conceptual clarity within evolving domains or systems of interest. These needs are evident in most spheres of research involving complex systems, but they are particularly apparent in infrastructure and cities where traditionally siloed and sectoral approaches have dominated, undermining the potential for integration to solve societal challenges such as net zero, resilience to climate change, equity and affordability. This paper reports on findings of a literature review on infrastructure and city ontologies and puts forward some hypotheses inferred from the literature findings. The hypotheses are discussed with reference to the literature and provide avenues for further research on (a) belief systems that underpin non-top-level ontologies and the potential for interference from them, (b) the need for a small number of top-level ontologies and translation mechanisms between them and (c) clarity on the role of standards and information systems in the adaptability and quality of data sets using ontologies. A gap is also identified in the extent that ontologies can support more complex automated coupling and data transformation when dealing with different scales.

Three‐stage transformer‐coupled CMOS power amplifier for millimeter‐wave applications using 130 nm CMOS technology

AbstractHigh‐efficiency and high‐linearity three‐stage transformer‐coupled power amplifier (PA) and power combiner for millimeter‐wave applications using 130 nm CMOS technology are presented in the paper. The suggested PA uses transformer coupled for input, inter‐stage, and output matching networks where the inter‐stage matching inductors are utilized to enhance the RF performance. The proposed power amplifier is composed of three stages: first, driver, and power stages. The first stage operates in a class‐C to improve the efficiency and decrease power dissipated while a class‐AB is used in the driver and power stages to maximize the output power. The proposed PA and power combiner designs are suitable for mm‐wave 5G applications. The coupling transformers, inter‐stage matching inductors, and output combiner are analyzed and designed using Ansoft high‐frequency structure simulator (HFSS) and achieve high‐quality factor and high‐coupling coefficient over the frequency range from 26 to 33 GHz. The proposed three‐stage transformer‐coupled power amplifier covers a frequency band from 26 GHz to 33 GHz with a saturated output power of 13.1 dBm, a peak power added efficiency (PAE) equals 19.1%, and a maximum power gain of 13.25 dB. Whereas the proposed power combiner has a saturated output power of 16.3 dBm, a maximum PAE equals 20.5% and a peak gain of 16.5 dB. The proposed three‐stage transformer‐coupled PA and power combiner consume low power of 65 mW and 128 mW, respectively. Moreover, the adjacent channel power ratios (ACPR) of the proposed PA and power combiner equal −30 dBc and −36 dBc, respectively, for 20 MHz channel bandwidth. Finally, the active areas of the proposed power amplifier and power combiner equal 0.25 mm2 and 0.69 mm2, respectively, while the chip areas are 0.55 mm2 and 1 mm2, respectively.

Structural Optimization Design of Rotary Loose Coupler

The loose coupling transformer, the core component of the rotary wireless excitation system, has a large leakage inductance due to the existence of a large gap, and the coupling coefficient cannot be effectively improved, thus limiting the improvement of the system efficiency. In order to solve this problem, firstly, the equivalent modeling and leakage inductance analysis of the rotary loosely coupled transformer are carried out, and the improved design is carried out according to the defects of common windings, and an improved shaft rotary coupler is proposed. The feasibility of this optimized structure was determined using Ansys/Maxwell simulation analysis software. The S-S resonance compensation scheme is designed, and the co-simulation with Simplorer and Maxwell is used to compare the coupling coefficient and transmission efficiency of the loosely coupled transformer before and after the improvement under the condition of large air gap, and the rationality of the proposed scheme is verified.

A Constant Current Wireless Power Transfer Scheme with Asymmetric Loosely Coupled Transformer for Electric Forklift

Due to the numerous advantages such as being convenient, safe, and contactless, wireless power transfer (WPT) is becoming the mainstream charging method for electric vehicles. This paper presents a constant current WPT system with asymmetric loosely coupled transformer for electric forklifts using lead-acid batteries. First, based on the Neumann formula, this paper analyzes the mutual inductance of the coaxial rectangular coil, and designs an asymmetric loosely coupled transformer based on the practical application requirements, which makes the secondary side light and miniaturized. Second, the WPT system is analyzed in terms of the requirements of constant current charging, and the dual-LCL compensation is proposed according to the output current and power requirements. The transfer characteristics and anti-interference capability of the topology are analyzed. The constant current output feature of the system under the condition of variable load is demonstrated. After that, a dual-active bridge secondary-side independent control strategy is proposed, the phase shift angle is adjusted to ensure constant charging current and high efficiency of the system. Finally, a wireless charging experimental platform is established in accordance with the proposed asymmetric loosely coupled transformer and WPT system. The system can achieve 45 A constant current output and 3 kW output power with 91.2% transmission efficiency.

DOUBLE-CIRCUIT RESONANT ELECTRIC POWER AMPLIFIER FOR MAGNETIC-PULSE PROCESSING OF METALS

The authors propose and substantiate the functionality of a magnetic-pulse installation consisting of two blocks, the first of which is a resonant double-circuit charger of a capacitive energy storage, and the second block is a discharge circuit with an inductor-tool for performing a given production operation. It is shown that the voltage changes in time according to an exponentially growing harmonic law. It was found that the amplitude of the voltage across the capacitor can be regulated by varying the characteristics of the coupling transformer between the circuits and the characteristics of the circuit of the reactive power conversion unit. Numerical assessments of the characteristics of the charging process showed a high efficiency of voltage formation on the capacitive storage due to resonance phenomena (the transformation ratio is equal to the Q-factor of the circuit ~ 20), which is not comparable with the well-known traditional indicators of induction methods. In terms of phase – the length in time to the maximum charge in the adopted circuit of the active electric power amplifier is set by the inequality - That is, after ~ 30 periods of charging current, the excited voltage reaches a maximum (~ 20 times higher than the source voltage), which will correspond to the end of the transient process and the establishment of a steady state of operation. An example of calculating the characteristics of an elementary resonant base illustrates the effective capabilities of a magnetic-pulse installation, consisting of a resonant charger of a capacitive energy storage and a load in the form of an inductor-tool for flat stamping of metal products. It was found that the square of the ratio of operating frequencies in the load unit and the reactive power amplification unit quantitatively determines the fundamental possibility of resonant amplification of the active electrical energy of a harmonic signal. References 12, figures 5.

A Low-Cost DC Chopper With Coupling Transformer for Offshore Wind VSC-HVdc System

The dc chopper (DCC) is the key equipment of offshore wind voltage source converter based high-voltage direct current (VSC-HVdc) system. Combining the advantages of the ac chopper and the centralized DCC, a novel dc chopper with coupling transformer (CT-DCC) is proposed. The use of the coupling transformer can reduce the voltage on the concentrated resistor to eliminate the high-voltage wall bushing effectively. Compared with the traditional DCC, the cost of CT-DCC is reduced by 35% for ±400 kV/1100 MW offshore wind VSC-HVdc project. In addition, the application of the coupling transformer provides an opportunity for the introduction of freewheeling inductance, which greatly eliminates the interference of pulse-current generated by the existing DCC on dc-link voltage. Through system simulation, the peak value of the dc-link voltage during the fault ride through is 1.02 p.u., and the dc-link voltage ripple is only 1%–2%, which meets the system requirements. After the detailed analysis of the working principle and characteristics of CT-DCC, the control strategy and design principle are given. Furthermore, a prototype experiment of up to 10 kV/10 MW is conducted to verify the feasibility of CT-DCC.

CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images

Semantic segmentation by using remote sensing images is an efficient method for agricultural crop classification. Recent solutions in crop segmentation are mainly deep-learning-based methods, including two mainstream architectures: Convolutional Neural Networks (CNNs) and Transformer. However, these two architectures are not sufficiently good for the crop segmentation task due to the following three reasons. First, the ultra-high-resolution images need to be cut into small patches before processing, which leads to the incomplete structure of different categories’ edges. Second, because of the deficiency of global information, categories inside the crop field may be wrongly classified. Third, to restore complete images, the patches need to be spliced together, causing the edge artifacts and small misclassified objects and holes. Therefore, we proposed a novel architecture named the Coupled CNN and Transformer Network (CCTNet), which combines the local details (e.g., edge and texture) by the CNN and global context by Transformer to cope with the aforementioned problems. In particular, two modules, namely the Light Adaptive Fusion Module (LAFM) and the Coupled Attention Fusion Module (CAFM), are also designed to efficiently fuse these advantages. Meanwhile, three effective methods named Overlapping Sliding Window (OSW), Testing Time Augmentation (TTA), and Post-Processing (PP) are proposed to remove small objects and holes embedded in the inference stage and restore complete images. The experimental results evaluated on the Barley Remote Sensing Dataset present that the CCTNet outperformed the single CNN or Transformer methods, achieving 72.97% mean Intersection over Union (mIoU) scores. As a consequence, it is believed that the proposed CCTNet can be a competitive method for crop segmentation by remote sensing images.