Research on the Impact of BYD Group’s Green Innovation on Corporate Financial Performance under the Background of“Dual Carbon”

With the increasingly severe global climate change problem,the“dual carbon”goals(peak carbon emissions and carbon neutrality)have become a common focus of international attention.The report of the 20th National Congress of the Communist Party of China clearly emphasizes the need to accelerate the green transformation of development models,implement comprehensive strategies for frugal development,support the growth of green and low-carbon industries,and promote the concept of green consumption.At the same time,“Made in China 2025”also elaborates on the strategic concept of innovation-driven and green development centered,and strives for breakthroughs in key industries such as new energy vehicles.In such a macro environment,adopting green innovation measures by enterprises not only contributes to ecological protection but also has an undeniable impact on their economic performance and overall value.This article takes BYD Group as a case study to explore in detail the positive effects of green innovation on its economic performance.We first systematically organized and analyzed BYD’s specific practices in green innovation;Then,by examining three key financial indicators,BYD’s current financial situation was analyzed in depth;On this basis,combined with research data,the positive impact of green innovation on BYD’s financial performance was revealed;Finally,based on the analysis results,relevant suggestions are proposed to provide reference for the sustainable development of enterprises in the context of“dual carbon.”

Classical Fourier Analysis over Homogeneous Spaces of Compact Groups

This paper introduces a unified operator theory approach to the abstract Fourier analysis over homogeneous spaces of compact groups. Let G be a compact group and H be a closed subgroup of G. Let G/H be the left coset space of H in G and μ be the normalized G-invariant measure on G/H associated to the Weil＇s formula. Then, we present a generalized abstract framework of Fourier analysis for the Hilbert function space L^2 （G / H, μ）.

Self Dual Structure of Conformal Supergravity

On the basis of a unified definition of the dual operation and the (anti )self dual operation, the connections of the su(2,2｜1) main cluster was used as the fundamental field variables to construct the self dual Lagrangian of conformal supergravity. A Yang Mill like Lagrangian is obtained and a new gauge theory of supergravity is put forward. The spatial projects of its spin connection are Ashtekar variables.

Self-Dual Permutation Codes over Finite Chain Rings

Permutation codes over finite chain rings are introduced; by using the character of the finite chain rings and the knowledge of representation of group, some conditions for existence or non-existence of self-dual permutation codes over finite chain rings are obtained. Specially, when the group is a direct product of a 2-group and a T-group, and the group action is transitive, the sufficient and necessary condition of the existence of permutation codes is given.

Capacity of Dual-Right-Turn Lanes at Signalized Intersections under Mixed Traffic Conditions

To explore the potential capacity of dual-fight-turn lanes at signalized intersections under mixed traffic conditions, we defined two conflict zones between right turn vehicles and through bicycle corresponding to different right turn flows from dual-right-turn lanes. Relationships between the arrival rate of bicycle group at each conflict zone and the saturation flow rate of right turn movement were investigated. A model based on gap acceptance theory was adopted to estimate the capacity of dual-right-turn lanes under mixed traffic conditions. An analysis was carried out using the collected data from three four-leg signalized intersections in Beijing, China, where the dual-right-turn lanes were used. In addition, we also discussed the patterns of bicycle lane in the urban area of Beijing, and classified it based on its characteristics in use. It is concluded that the two lanes of dual-fight-turn lanes produce different capacities under mixed traffic conditions, and the analysis on scenarios of dual-right-turn movement traversing bicycle traffic plays a key role in explaining the different capacity performance of the two right turn lanes. Error analysis of the model indicated that the model was rational.

SELF-DUAL PERMUTATION CODES OVER FORMAL POWER SERIES RINGS AND FINITE PRINCIPAL IDEAL RINGS

In this paper, we study self-dual permutation codes over formal power series rings and finite principal ideal rings. We first give some results on the torsion codes associated with the linear codes over formal power series rings. These results allow for obtaining some conditions for non-existence of self-dual permutation codes over formal power series rings. Finally, we describe self-dual permutation codes over finite principal ideal rings by examining permutation codes over their component chain rings.

ON SELF-DUAL PERMUTATION CODES

Permutation codes over finite fields are introduced, some conditions for existence or non-existence of self-dual permutation codes are obtained.

Recognition of Group Activities Using Complex Wavelet Domain Based Cayley-Klein Metric Learning

A group activity recognition algorithm is proposed to improve the recognition accuracy in video surveillance by using complex wavelet domain based Cayley-Klein metric learning.Non-sampled dual-tree complex wavelet packet transform(NS-DTCWPT)is used to decompose the human images in videos into multi-scale and multi-resolution.An improved local binary pattern(ILBP)and an inner-distance shape context(IDSC)combined with bag-of-words model is adopted to extract the decomposed high and low frequency coefficient features.The extracted coefficient features of the training samples are used to optimize Cayley-Klein metric matrix by solving a nonlinear optimization problem.The group activities in videos are recognized by using the method of feature extraction and Cayley-Klein metric learning.Experimental results on behave video set,group activity video set,and self-built video set show that the proposed algorithm has higher recognition accuracy than the existing algorithms.

采用级联策略融合边界特征的多尺度息肉分割网络

结直肠息肉分割能有效辅助医生筛查大肠腺瘤,但息肉分割存在噪声较多、边界区分度不够等问题。针对以上问题,本文设计了一种采用级联策略融合边界特征的多尺度息肉分割网络。首先,本文提出了一种改进的通道分组空间增强模块,以增强骨干网络提取的图像特征,从而提高通道和空间位置的相关性。其次,考虑到边界区分度不够,设计了一个级联特征融合网络,以更好地保留边界信息并提高边界区分度,从而提高分割精度。最后,引入了一种双分支混合上采样模块来获取更多的特征细节信息,以实现特征的互补以及捕获更完整有效的特征。在CVC-ClinicDB和Kvasir数据集上进行测试,本文算法的平均Dice系数分别为0.944,0.920,平均交并比分别为0.900,0.869;而M2SNet算法的平均Dice系数分别为0.922,0.912,平均交并比分别为0.880,0.861。在ETIS-LaribPolypDB,CVC-300和CVC-ColonDB数据集上进行测试,本文算法的平均Dice系数分别为0.776,0.915,0.782;而M2SNet算法的平均Dice系数分别为0.749,0.903,0.758。实验结果表明本文算法的分割精度较高,泛化能力较强。

基于双指标分组学习粒子群算法的动态敏捷软件项目调度

针对敏捷软件开发中的用户故事选择和任务分配2个紧耦合子问题,考虑用户故事的新增和开发者工作时长的不确定性,构建敏捷软件项目的动态周期性调度模型,提出一种基于目标值和潜力值双指标进行分组学习的粒子群优化算法。该算法依据不同分组特征选用相异的学习对象,以提高搜索的多样性;基于投资回报率和时间利用率设计初始化和局部搜索策略,以应对环境变化并增强挖掘能力。与7种已有算法相比,所提算法能够规划出一套产出价值更大和时间利用率更高的调度方案。

“双元”导向下电子信息技术专业群育人新生态探究

新一代人工智能背景下,职业院校通过持续不断地创新人才培养模式,充分调动和发挥校企“双主体”的能动作用,构建共同培养、协同育人、共同发展的新生态,提升人才培养质量,促进职业教育高质量发展。传统的人才培养模式中,存在实践教学在总学时中占比不足、课程目标与企业岗位需求对接度不高、双师型教师实践经验不足、实践教学质量不高、校企合作资源共享度不够等问题。北海职业学院电子信息技术专业群在“双元”育人模式下,从课程体系建设、课程资源共建共享、师资队伍建设、实践教学改革、产教融合和社会服务等方面进行了探索与实践,积累了宝贵的经验,为高水平专业群发展奠定了良好基础。

城轨领域综合承载的列车以太网通信网络应用

本文介绍了常用交换式以太网环网与线性网拓扑的优缺点,并以实际应用项目为依托,介绍了列车通信网络承载信号系统通信网络的方案。该方案可以承载整车的通信网络,为智慧城轨列车通信综合承载提供了一种发展方向。

计及群体压力和群体极化的PDHFSs-TODIM多属性群体决策算法

在概率对偶犹豫模糊环境下的多属性决策中,针对决策过程一般未考虑决策专家在讨论中所受的群体压力和群体极化的问题,提出了一种计及群体压力和群体极化的概率对偶犹豫模糊集-拓扑判别目标间方法(probabilistic discriminative heterogeneous fuzzy sets-topological discriminative inter-objective method,PDHFSsTODIM)的多属性群体决策算法。首先,定义了考虑群体压力的决策信息修正公式,有效削弱群体压力对专家决策信息的影响;然后,搭建了一种考虑群体极化现象的决策模型,该模型充分考虑了专家的主观性,为专家讨论和修正决策提供了机会,通过分配动态决策权重提高决策的置信度,并通过群体极化阈值约束群体的极化效应;进一步,将计算得到的决策数据输入改进的TODIM算法,得到最终决策结果。将算法运用于储能电池综合性能评估分析,通过与其他先进决策算法做对比,验证了所提算法的可靠性与准确性。

基于乡村振兴的“双文旅”模式探究——以星火乡与敖其村为例

为深入贯彻二十大精神,巩固脱贫攻坚成果并与乡村振兴有效衔接,以地理位置为考量,将民族文化作为抓手,选取佳木斯市桦川县星火朝鲜族乡和敖其赫哲族村为研究对象,提出“双文旅”发展模式。通过文献梳理,对“双文旅”模式产生的文化基础进行分析,结合研究对象的实地考察情况,进行“双文旅”模式的策略分析。紧扣中国式现代化的内在要求与首要任务,力求为少数民族乡村振兴提炼具有一定示范性、推广性的发展模式。

Raman signal enhancement for gas detection using a dual near-concentric cavities group

Effective methods are urgently required to optimize Raman spectroscopy technology to ameliorate its low detection sensitivity.Here,we superposed two near-concentric cavities to develop a dual near-concentric cavities group(DNCCG)to assess its effect on gas Raman signal intensity,signal-to-noise ratio(SNR),and limit of detection(LOD).The results showed that DNCCG generally had higher CO_(2) Raman signal intensity than the sum of two near-concentric cavities.Meanwhile,the noise intensity of DNCCG was not enhanced by the superposition of near-concentric cavities.Accordingly,DNCCG increased the SNR.The LOD for CO_(2) was 24.6 parts per million.DNCCG could be an effective method to improve the detection capability of trace gases and broaden the dynamic detection range,which might aid the future development of innovative technology for multicomponent gas detection.

多尺度残差群网络的图像去雨算法

雨天作为一种常见的天气条件会对计算机视觉造成一定影响,图像中会出现雨纹与细节模糊,从而需要一种高效的单幅图像去雨算法来改善图像质量。现有图像去雨算法大多只关注于去除雨纹,而忽略了恢复去雨后图像的细节信息。针对此,为了更好地检测雨纹提出了浅层特征提取模块和深层特征提取模块,其中,浅层特征提取模块选取残差密集块,深层特征提取模块选取两个双注意力模块和两个卷积层作为残差块构成的残差群。为了恢复图像细节信息,提出了一种包含全局分支和局部分支的多尺度细节恢复模块。在合成数据集和真实数据集上的大量实验表明,所提算法的PSNR和SSIM分别达到了40.41 dB和0.989,同时保留了图像细节信息。

结合组像素嵌入的双注意力高光谱图像分类

近年来,基于深度学习的框架在高光谱图像分类领域中取得了令人满意的结果。然而,多数方法仍使用卷积神经网络作为主干网络,其存在感受野过小,对特征信息的挖掘不充分,序列建模的能力较弱,模型复杂和分类精度低等问题。为克服上述局限性,该文提出一种结合组像素嵌入的双注意力高光谱图像分类的方法。该方法主要分成三个部分,首先,使用含有点卷积组和深度卷积组的通道空间卷积分离模块来高效学习空间光谱的特征信息;其次,添加通道空间双注意力机制,抑制冗余信息的干扰,增强高光谱图像空间与光谱的特征权重;最后,通过组像素嵌入Transformer来进一步强化空间与光谱之间的联系,建立全局长距离依赖关系,缓解精度下降的问题,保证了网络良好的分类性能。实验结果表明,该方法与现有的网络模型相比具有更优越的性能,在Pavia University和WHU-Hi-LongKou两个数据集中的总体准确率分别达到99.26%和99.73%。

基于多尺度特征融合的双分支手部姿态估计算法

由于RGB图像的深度歧义性,关节点的深度坐标相对于关节点的二维图像坐标来说更难预测。提出一种基于手部多尺度特征融合的双分支手部姿态估计算法,将手部关节点的二维图像坐标和深度坐标进行分组预测。采用FPN提取手部多尺度特征,提出特征融合模块,对手部多尺度特征进行融合增强,得到手部高层特征和低层特征;提出双分支网络结构,利用融合之后的手部高层特征和低层特征分别预测手部关节点的深度坐标和二维图像坐标。在两个公开的手势数据集上进行了充分实验,与当前最好方法相比,所提方法在平均关节误差指标上取得了当前最好结果。

基于SMS和双重预防机制的机场集团安全治理体系研究

从机场集团角度构建安全治理体系,将SMS融入机场集团化运行,通过治理体系四大支柱和双重预防机制构建,结合新发展阶段要求和机场集团高质量发展,扩展完善安全治理体系,明确各体系要素实际功能,形成机场集团化效能优显、机制完善、长效先进的贯穿式安全治理体系,为机场集团各成员机场如何高效进行安全治理提供参考。

专业群对接岗位群实施“2+1”校企双元育人的逻辑与路径——以铁道机车车辆专业群为例

在当前产业变革的关键时期,产业发展和就业形势对复合型人才的需求迫切,越来越重视高职毕业生的岗位胜任力和迁移能力。深化产教融合,以专业群对接岗位群开展“2+1”校企双元育人是当前铁路行业校企开展人才培养的新模式。基于专业群对接岗位群的逻辑分析,可将“2+1”校企双元育人路径从开发教学资源、构建课程体系、深化教师教材教法改革、构建校企考核体系四个环节开展。保障“2+1”校企双元育人成效可从健全校企产教融合管理制度、加大资金投入完善实训基地建设、构建校企协同全方位质量监测评价体系三方面发力。