Equivalent Doping Transformation Method for Predicting Breakdown Voltage and Peak Field at Breakdown of Epitaxial-Diffused Punch-Through Junction

Based on a new semi empirical analytical method, namely equivalent doping transformation, the breakdown voltage and the peak field of the epitaxial diffused punch through junction have been obtained. The basic principle of this method is introduced and a set of breakdown voltage and peak field plots are provided for the optimum design of the low voltage power devices. It shows that the analytical results coincide with the previous numerical simulation well.

Generation of artificial earthquakes for matching target response unsmooth spectrum via wavelet package transform

The seismic records of target response spectrum used in the time-history analysis should be allowed to meet the norms. However, the previous fitting methods of target spectrum are mostly for the situations that the target spectrum is a smooth curve. In many cases, it needs to match unsmooth target spectrum for single determined response spectrum. An adjustment of time history via wavelet packet transform was presented, which is able to fit unsmooth target spectrum. It was found that there is a certain bias between the band center frequency of the component of seismic record after wavelet packet decomposition and the peak frequency of response spectra of wavelet packet components. For this reason, five strategies were presented to select iteration points, and the effects of the five strategies were compared with two calculation examples. It was turned out that the peak frequency of the response spectrum of wavelet packet component can lead to good fitting effect when it is selected as the iteration point. In the iteration process, it shows great promise in fitting non-smooth target spectrum and has a trend of converge.

Rice Crop Digital Image Compression Technology Based on Discrete Fourier Transform

[Objective] To study the digital image compression technology in rice monitoring system. [Method] A digital image compression technology program based on the discrete Fourier transform was proposed, and simulation experiments were carried out to compress the image at different compression ratios. [Result] When com- pression ratios were less than 30, the compression ratio, image entropy, average codeword length, coding efficiency and redundancy which reflected the quality of the coding, and the parameter PSNR which estimated the fidelity of the compressed im- age were all achieved good results that human eye could barely percept the differ- ence between the original image and decompressed image; and when the compres- sion ratios were more than 30, there was a certain distortion in the decompressed image. And when the compression ratio was 91.516 3, although the image had some distortion, the PSNR was still achieved to 21.528 2, and human eye could accept the decompressed image intuitively within the acceptable error range. [Conclusion] The results show that the proposed image compression program is a viable, effective, and better image compression technology which can satisfy the requirements of the crop monitoring system on image storage, transforming and transporting.

Carbon peak and carbon neutrality in China:Goals,implementation path and prospects

Climate change is a common problem in human society.The Chinese government promises to peak carbon dioxide emissions by 2030 and strives to achieve carbon neutralization by 2060.The proposal of the goal of carbon peak and carbon neutralization has led China into the era of climate economy and set off a green change with both opportunities and challenges.On the basis of expounding the objectives and specific connotation of China’s carbon peak and carbon neutralization,this paper systematically discusses the main implementation path and the prospect of China’s carbon peak and carbon neutralization.China’s path to realizing carbon neutralization includes four directions:(1)in terms of carbon dioxide emission control:energy transformation path,energy conservation,and emission reduction path;(2)for increasing carbon sink:carbon capture,utilization,and storage path,ecological governance,and land greening path;(3)in key technology development:zero-carbon utilization,coal new energy coupling,carbon capture utilization and storage(CCUS),energy storage technology and other key technology paths required to achieve carbon peak and carbon neutralization;(4)from the angle of policy development:Formulate legal guarantees for the government to promote the carbon trading market;Formulate carbon emission standards for enterprises and increase publicity and education for individuals and society.Based on practicing the goal and path of carbon peak and carbon neutralization,China will vigorously develop low carbon and circular economy and promote green and high-quality economic development;speed up to enter the era of fossil resources and promoting energy transformation;accelerate the integrated innovation of green and low-carbon technologies and promote carbon neutrality.

Denoising of an Image Using Discrete Stationary Wavelet Transform and Various Thresholding Techniques

Image denoising has remained a fundamental problem in the field of image processing. With Wavelet transforms, various algorithms for denoising in wavelet domain were introduced. Wavelets gave a superior performance in image denoising due to its properties such as multi-resolution. The problem of estimating an image that is corrupted by Additive White Gaussian Noise has been of interest for practical and theoretical reasons. Non-linear methods especially those based on wavelets have become popular due to its advantages over linear methods. Here I applied non-linear thresholding techniques in wavelet domain such as hard and soft thresholding, wavelet shrinkages such as Visu-shrink (non-adaptive) and SURE, Bayes and Normal Shrink (adaptive), using Discrete Stationary Wavelet Transform (DSWT) for different wavelets, at different levels, to denoise an image and determine the best one out of them. Performance of denoising algorithm is measured using quantitative performance measures such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE) for various thresholding techniques.

Joint Non-Orthogonal Multiple Access (NOMA) & Walsh-Hadamard Transform: Enhancing the Receiver Performance

Non-orthogonal multiple access(NOMA) is a new access method to achieve high performance gains in terms of capacity and throughput, so it is currently under consideration as one of the candidates for fifth generation(5 G) technologies. NOMA utilizes power domain in order to superimpose signals of multiple users in a single transmitted signal. This creates a lot of interference at the receive side. Although the use of successive interference cancellation(SIC) technique reduces the interference, but to further improve the receiver performance, in this paper, we have proposed a joint Walsh-Hadamard transform(WHT) and NOMA approach for achieving better performance gains than the conventional NOMA. WHT is a well-known code used in communication systems and is used as an orthogonal variable spreading factor(OVSF) in communication systems. Application of WHT to NOMA results in low bit error rate(BER) and high throughput performance for both low and high channel gain users. Further, it also reduces peak to average power ratio(PAPR) of the user signal. The results are discussed in terms of comparison between the conventionalNOMA and the proposed technique, which shows that it offers high performance gains in terms of low BER at different SNR levels, reduced PAPR, high user throughput performance and better spectral efficiency.

A Time-Based Framework for Evaluating Hydrologic Routing Methodologies Using Wavelet Transform

In this study we explore a method which provides an insight into the effectiveness of various hydrologic models’ routing components based on their ability to accurately represent flood peak times and shapes. The method is based on using Cross-Wavelet Transforms to estimate the phase (time) difference between the time series of the observed and the simulated discharges. In this article we evaluate two routing components, the Routing Application for Parallel Computation of Discharge (RAPID), which is based on the simplified Muskingum routing method, and the routing component of the non-linear Hillslope-Link hydrologic Model (HLM) produced in the Iowa Flood Center (IFC). Both routing components are driven by the same source of runoff and used the same channel network to ensure that the discrepancies between the simulated stream discharges are due to channel routing alone. We also explore the suitability of different wavelet shapes for our application, and how the difference in wavelet shape can affect our evaluation results. Unlike the conventional statistical skill scores used to evaluate model performance (e.g. Root Mean Squared Error, correlation coefficient, and Nash Sutcliff efficiency index), which give an estimate of the overall hydrograph performance, our method conveniently provides time-localized information with higher resolution at peak location. We perform our evaluation at multiple stream gauge locations, covering a wide range of scales (700 to 16,862 km2), located in the eastern part of the state of Iowa. Our results show that the proposed wavelet method is effective in evaluating the performance of the routing components in simulating peak times across spatial scales. Generally, the non-linear routing method employed in the HLM outperformed the Muskingum based method employed in RAPID. In addition, our results suggest that the Paul wavelet is more effective in detecting and separating individual peaks than the Morlet wavelet, which in turn leads to a more accurate evaluation of the routing components.

“双碳”目标下的经济社会系统性变革:特征、要求与路径

实现碳达峰碳中和是一场广泛而深刻的经济社会系统性变革,强调单一目标或有限目标调控的研究范式,对碳中和目标下净零碳转型复杂性的理解存在局限性,难以有效反映与应对多重目标、多重约束下社会经济系统性、全局性深刻变革的影响。理解与研判“双碳”目标下经济社会系统性变革的主要特征、具体要求与实现路径,能够提升对“双碳”目标的认识,更好地释放系统性变革带来的红利以及规避所伴随的风险,推动实现“双碳”目标下经济社会的高质量发展,并为全球碳中和理论构建与实践探索作出贡献。

Medical Image Compression Using Wrapping Based Fast Discrete Curvelet Transform and Arithmetic Coding

Due to the development of CT (Computed Tomography), MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), EBCT (Electron Beam Computed Tomography), SMRI (Stereotactic Magnetic Resonance Imaging), etc. has enhanced the distinguishing rate and scanning rate of the imaging equipments. The diagnosis and the process of getting useful information from the image are got by processing the medical images using the wavelet technique. Wavelet transform has increased the compression rate. Increasing the compression performance by minimizing the amount of image data in the medical images is a critical task. Crucial medical information like diagnosing diseases and their treatments is obtained by modern radiology techniques. Medical Imaging (MI) process is used to acquire that information. For lossy and lossless image compression, several techniques were developed. Image edges have limitations in capturing them if we make use of the extension of 1-D wavelet transform. This is because wavelet transform cannot effectively transform straight line discontinuities, as well geographic lines in natural images cannot be reconstructed in a proper manner if 1-D transform is used. Differently oriented image textures are coded well using Curvelet Transform. The Curvelet Transform is suitable for compressing medical images, which has more curvy portions. This paper describes a method for compression of various medical images using Fast Discrete Curvelet Transform based on wrapping technique. After transformation, the coefficients are quantized using vector quantization and coded using arithmetic encoding technique. The proposed method is tested on various medical images and the result demonstrates significant improvement in performance parameters like Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).

中国产业链绿色低碳转型思考

近年来,绿色低碳转型成为全球新一轮产业竞争的前沿端口,国际产业链和分工体系正发生深度演变,全球性的绿色低碳发展新赛道正逐步形成。产业链绿色低碳转型不仅是我国实现“双碳”目标的必然要求,也是抢抓全球低碳经济发展新机遇的主动作为,立足于全球产业链绿色低碳转型的影响要素及作用传导机理,探究中国产业链绿色低碳转型面临的国内外双重机遇和挑战,提出新发展格局下持续推动产业结构和能源结构调整的现实逻辑。从积极参与全球气候治理、加快发展方式绿色转型、改革低碳绿色政策机制角度对中国产业链绿色低碳转型提出具体建议。

中国工业低碳转型进程再评估及其多样化分解

工业低碳转型是中国落实“双碳”目标、推进绿色低碳发展的关键所在,全面理解中国工业低碳转型进程具有重要价值。为此,首先构建工业低碳转型进程再评估及其分解的理论框架,随后基于跨国、省份和行业样本数据,采用SBM方向性距离函数和Luenberger生产率指标对2001—2021年中国工业低碳转型进程展开再评估,并从生产技术演化、要素效率变动和经济结构变迁三个维度对该进程进行分解。研究发现,国际视角下的中国工业低碳转型进程在研究期内稳步推进,节奏更为平稳、方式更可持续;国内视角下的中国工业低碳转型进程在研究期内具有先快后缓的推进特征,且省份间和行业间低碳转型分化程度持续加深;经典分解表明技术进步和技术效率提升在推动工业低碳转型过程中无法有效协同,存在普遍的正负或强弱特征;要素分解表明工业低碳转型的驱动要素逐渐多元化,能源效率和碳效率的贡献逐步凸显,但具有一定波动性;结构分解显示区域结构效率总体呈小幅下降趋势,产业结构效率始终为负且后期受政策影响而呈现周期性波动特征。基于研究结论,从协同推进技术进步与技术效率改善、提升区域及行业维度能源效率和碳效率、优化经济结构效率三方面为高质量推进中国工业低碳转型进程提出了具体建议。

税收征管与中国工业低碳转型推进——基于绿色税收视角的实证

在加快实现“双碳”目标过程中,税收可成为运用市场机制完善气候治理的有力工具。基于绿色税收视角,文章在理论分析基础上,借助省份工业2006—2021年面板数据,运用全面FGLS方法,实证检验了税收征管对中国工业低碳转型的影响,并从绿色低碳技术创新、产业结构调整和政府环境治理三方面解构了其中的作用机制。进一步地,从能源消耗、产业多样化、税收负担三个维度探究了不同环境对绿色税收征管作用发挥的异质性影响。研究发现:绿色税收征管在研究期内能够显著推进中国工业低碳转型,这一结论在经过内生性讨论和一系列稳健性检验后依然成立;机制检验表明,绿色税收征管可通过激励绿色低碳技术创新渠道推进工业低碳转型,绿色税收征管对工业低碳转型的推进作用受到了产业结构调整的正向调节,但未受到政府环境治理的正向调节;异质性分析显示,绿色税收征管对工业低碳转型的推进作用随行业及省份能耗水平的下降而递增,更高的产业多样化水平和更低的税收负担强度能够增强绿色税收征管对工业低碳转型的推进作用。基于上述结论,从重视绿色税收体系建设、协调绿色税收征管与政府环境治理、优化绿色税收政策与相关政策的排列组合等方面提出了政策建议,为优化和完善碳减排相关税收政策提供了参考。

中国制造业低碳化发展趋势及其政策导向分析

制造业低碳化发展既是实现“双碳”目标的必然选择,也是实现中国经济高质量发展的重要抓手。在“双碳”目标约束下,如何在较短时间内实现区域协同发展、产业结构优化和绿色技术进步,进而推动传统制造业绿色低碳转型是我国面临的关键问题。为充分了解我国当前制造业低碳化发展现状,提出针对性的优化策略,首先需要从时间、空间、行业等维度对我国制造业低碳化发展现状进行解析,分析发展趋势,进而探寻发展过程中面临的困境和挑战,最后提出对应的政策建议。目前,我国制造业低碳化发展仍面临诸多问题,各地区制造业低碳化发展进程差异巨大,高污染和资源型制造业碳排放份额仍呈扩大趋势,大多数的碳排放来自于少数企业。鉴于此,应进一步促进区域协同推进制造业低碳化发展;提高针对大型企业的监管强度和激励力度;充分发挥我国高水平的人力资本积累优势,逐步实现产业结构重心从污染密集型向技术密集型的过渡。

基于自适应短时傅里叶变换的品质因子Q值估算方法

品质因子Q是描述地下介质对地震波吸收衰减强弱程度的参数,同时也是地层含油气性的重要标志。在地震资料Q估算中,常用的方法是短时傅里叶变换方法,当窗函数被选定以后,其时频分辨率就固定了。针对该问题,提出一种自适应窗短时傅里叶变换的方法,以获得更准确的瞬时中心频率,并利用峰值频移法来估算品质因子Q。首先,利用固定窗长的短时傅里叶变换来提取信号的瞬时中心频率作为初始频率;然后,根据初始频率自适应计算不同频率的窗长,并利用自适应窗长短时傅里叶变换来求取瞬时中心频率;最后,结合峰值频移法得到高分辨率的品质因子Q值。利用合成数据和实际数据进行了测试,结果表明,相比于固定时窗短时傅里叶变换方法,自适应短时傅里叶变换方法具有更好的时间和频率分辨率,可以获得更高分辨率的品质因子Q值。该结果可以为地下介质的研究提供更准确、可靠的工具,有助于更好地了解地下结构和油气资源分布情况。

基于LWT的可见光OFDM-IM系统研究

针对索引调制正交频分复用(OFDM-IM)技术峰均比过高,对相位噪声和载波频偏敏感,系统复杂度高等问题,提出基于小波提升变换(LWT)的可见光OFDM-IM系统。首先选择正交小波基作为子载波,通过对信号的分裂、预测和更新,将信号分为高频信号和低频信号,再结合可见光信道构成LWT-OFDM-IM系统,最后通过理论分析和蒙特卡罗方法对系统的可靠性、峰均比特性和最佳小波分解层数进行了仿真验证,结果表明:当子载波N=256,子块中子载波数量L=4,激活子载波数量k=2,系统误码率为10~(-4)时,LWT-OFDM-IM比FFT-OFDM-IM改善约8 dB,相较于DWT-OFDM-IM提高约4 dB。当系统互补累计分布函数(CCDF)为10^(-1)数量级时,LWT-OFDM-IM的峰均比较FFT-OFDM-IM改善约2.3 dB。随着小波层数的递增,系统的误码性能越好,当小波层数为3层时,大约在10 dB附近,误码率可到10^(-5)量级。

非接触电导检测土壤养分离子的谱峰自动识别方法

[目的/意义]电容耦合非接触式电导检测(Capacitively Coupled Contactless Conductivity Detection,C4D)在农业土壤养分离子检测方面发挥着重要作用。对C4D信号中离子特征峰的有效识别,有利于后续对离子特征峰的定性和定量分析,为加强农业土壤养分管理提供依据。然而,C4D信号的特征峰检测仍然存在无法自动精准识别、人工操作复杂、效率低等缺点。[方法]提出一种基于连续小波变换结合粒子群优化(Particle Swarm Optimization,PSO)和最大类间方差法(Otsu)的谱峰自动识别算法,旨在实现准确、高效、自动化的C4D信号峰识别。采用C4D检测样品溶液,得到离子谱图信号,对谱图信号进行连续小波变换,得到小波变换系数矩阵。通过搜索小波系数变换系数矩阵极值,识别出脊线和谷线。将小波系数矩阵转换为灰度图像,结合PSO和Otsu寻找最佳阈值,进一步对灰度图像的背景和目标分割,再结合原始谱图中的脊谷线识别谱图中的特征峰。[结果与讨论]测试含有41、61和102个峰的数据集,以受试者工作特性(Receiver Operating Characteristic,ROC)曲线和度量值作为评估峰值检测算法性能的准则。与其他方法相比,基于连续小波变换结合粒子群优化的最大类间方差法分割图像(Continuous Wavelet Transform C.ombined with Particle Swarm Optimization of Otsu to Segment Image,CWTSPSO)的谱峰自动识别算法的ROC曲线均保持在0.9以上,度量值分别为0.976、0.915和0.969。CWTSPSO能够有效检测出更多弱峰和重叠峰,同时检测出更少的假峰,有利于提升C4D信号的谱峰识别率和精准性。[结论]本研究提出的CWTSPSO能为非接触式电导检测农业土壤养分离子信号分析提供有力支持。

火电耦合压缩空气储能技术研究进展及展望

火电耦合压缩空气储能技术作为一种提升传统火电机组灵活性和经济性的有效手段,近年来受到了广泛关注。该文从分析火电耦合压缩空气储能技术在提升电网调峰能力、促进可再生能源整合等方面的重要意义出发。首先,介绍典型耦合系统的结构组成与工作原理;然后,探讨耦合系统中关键设备的技术现状和面临的挑战;之后,梳理火-储耦合系统的集成方案设计、调峰运行优化以及经济性评估的研究现状;最后,针对当前技术难点,展望未来火电耦合压缩空气储能技术的研究方向与重点。该文旨在为今后相关领域研究提供参考与借鉴,推动其持续发展和创新。

“三改联动”下高中压内缸适应灵活运行改造探讨

为实现“双碳”目标和构建新型电力系统,高中压内缸如何适应灵活性运行成为现役煤电高中压合缸机组“三改联动”时重点关注内容之一。文章通过对高中压内缸结构要素组合、典型结构方案、结合电厂实际运行情况和相应结构有限元分析,得出高中压进汽部分分开的内缸结构作为适应灵活性运行优选结构,并对现役机组高中压内缸改造方案进行探讨。

“双碳”战略下四川乡村旅游绿色转型的路径研究

乡村旅游的绿色转型是在“双碳”战略下乡村旅游业态创新的新思路,也是提升乡村旅游竞争力的新举措。通过阐述乡村旅游绿色转型对我国实现“双碳”目标的重要意义,剖析了四川乡村旅游绿色转型的现状和问题,总结提炼出完善乡村旅游绿色转型的提升路径,主要包括完善乡村旅游的顶层设计、创新乡村绿色旅游产品的开发等,为乡村旅游的健康、可持续发展提供了思路。

制造业企业数字化转型的碳绩效:内在机制与经验证据

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