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The Adaptive Quadratic Linear Unit (AQuLU): Adaptive Non Monotonic Piecewise Activation Function 自适应二次线性单元(aquulu):自适应非单调分段激活函数
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230614000735
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引用次数: 0
Deep Learning Technique for Power Domain Non-Orthogonal Multiple Access Using Optimised LSTM in Cooperative Networks 基于优化LSTM的合作网络幂域非正交多址深度学习技术
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20221228104420
Kavitha Gopalun, Deny John Samuvel, Deny John Samuvel
: Non-orthogonal Multiple Access (NOMA) is the technique proposed for multiple accesses in the fifth-generation (5G) cellular network. In NOMA, different users are allocated different power levels and are served using the same time/frequency Resource Blocks (RBs). The main challenges in existing NOMA systems are the limited channel feedback and the difficulty of merging them with advanced adaptive coding and modulation schemes. The 5G system in NOMA aims to access low latency, efficiency in superior spectra, and balanced user fairness. NOMA allows multiple users with different power levels to share resources in radio frequency time. The existing Orthogonal Multiple Access (OMA) system produces high latency, high computational complexity, and throughput complexity in modifying wireless channels. To overcome these issues, this paper proposed optimising deep learning-based power domain NOMA of Long Short-Term Memory (LSTM) with particles Swarm optimisation (PSO) technique. This proposed work (LSTM-PSO) is deployed with a Cooperative network model. The advantage of LSTM-PSO in Cooperative Non-orthogonal Multiple Access (CNOMA) is that it provides high performance, better utilisation of downlink, efficiency in sharing of resources, enhancing the activity of users, capacity of the base station and improving quality of service, estimation of channel condition. LSTM-PSO got a higher accuracy rate of 92.05%, LSTM got 86.45%, PSO got 88.13%, and the accuracy rate of ANN and DNN was 83.76% and 84.70%.
非正交多址(NOMA)是第五代(5G)蜂窝网络中提出的多址技术。在NOMA中,不同的用户被分配不同的功率水平,并使用相同的时间/频率资源块(RBs)提供服务。现有NOMA系统面临的主要挑战是有限的信道反馈和难以与先进的自适应编码和调制方案合并。NOMA中的5G系统旨在实现低延迟、高频谱效率和均衡的用户公平性。NOMA允许具有不同功率水平的多个用户在射频时间内共享资源。现有的正交多址(OMA)系统在修改无线信道时存在高延迟、高计算复杂度和高吞吐量的问题。为了克服这些问题,本文提出了利用粒子群优化(PSO)技术对基于深度学习的长短期记忆(LSTM)功率域NOMA进行优化。提出的工作(LSTM-PSO)采用协作网络模型进行部署。LSTM-PSO在协同非正交多址(CNOMA)中具有高性能、下行链路利用率高、资源共享效率高、用户活跃度高、基站容量大、服务质量好、信道状况估计好等优点。LSTM-PSO的准确率为92.05%,LSTM的准确率为86.45%,PSO的准确率为88.13%,ANN和DNN的准确率为83.76%和84.70%。
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引用次数: 0
Spider Monkey Optimization Based Optimal Sizing of Battery Energy Storage for Micro-Grid 基于蜘蛛猴优化的微电网电池储能最优尺寸
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20221109072844
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引用次数: 0
Design of Single-phase PWM Rectifier Based on PI Double-loop Control 基于PI双环控制的单相PWM整流器设计
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230626000761
Kezhou Bai, Qushan Chen
: In this paper, the mathematical model of PWM rectifier is analyzed first, and the rotating coordinate system transformation is used to convert the mathematical model to frequency domain, and the control model is established through the frequency domain model. Since the d -axis and q -axis currents are coupled with each other, this paper adopts the current feedforward processing to decouple the current loop, and introduces the PI regulator as the main control link between the current loop and the voltage loop to obtain the control models of the current inner loop and the voltage outer loop. In this paper, the current inner loop control model and the voltage outer loop control model are simulated in Simulink, and root locus analysis and Bode diagram analysis are used to first determine the parameters of the current inner loop within the expected range of the relevant parameters, and then determine the parameters of the voltage outer loop by the control model of the current inner loop. A double-loop control system with better performance is finally derived.
本文首先对PWM整流器的数学模型进行了分析,利用旋转坐标系变换将数学模型转换到频域,并通过频域模型建立控制模型。由于d轴和q轴电流相互耦合,本文采用电流前馈处理对电流环进行解耦,并引入PI调节器作为电流环和电压环之间的主要控制环节,得到电流内环和电压外环的控制模型。本文在Simulink中对电流内环控制模型和电压外环控制模型进行仿真,采用根轨迹分析和波德图分析,首先在相关参数的预期范围内确定电流内环的参数,然后通过电流内环的控制模型确定电压外环的参数。最后得到了性能较好的双环控制系统。
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引用次数: 0
H-infinity Variable-Pitch Control for Wind Turbines Based on Takagi-Sugeno Fuzzy Theory 基于Takagi-Sugeno模糊理论的风力机h∞变螺距控制
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230320000458
Shengsheng Qin, Sze Song Ngu, Chaoqun Zhang, Hui Cai, Yujian Chen, Ruiqi Chen, Tingxuan Liu
: When the wind speed is above the rated value, the output power of the wind turbine should be maintained at the rated value in order to prevent the power generation system from overheating. In addition, the natural wind speed will fluctuate randomly in a large range of values, making the traditional control effect not ideal. This paper presents a novel H-infinity (H ∞ ) pitch control strategy for Wind Turbine Generators (WTGs), which can make the rotor speed and output power constant when the wind speed changes in a large range. In order to shorten response time and reduce overshoot, in the specific solution, the control method combines the H ∞ theory and the Takagi-Sugeno (T-S) fuzzy theory. Firstly, the linearized models of several operating points were obtained with the T-S fuzzy theory. Then, a robust controller was designed for each linear sub-system based on the H ∞ control theory. Furthermore, the controllers of the sub-systems were superimposed into a global controller for the entire system through the membership function. Finally, modeling and simulation were carried out in MATLAB/SIMULINK. The simulation results show that when the wind speed changes above the rated speed, the rotor speed can be maintained at the rated value, and the output power also can be maintained at the rated value. Compared with the optimal control, the response speed of this method is faster and the overshoot is smaller. It provides a new idea for the pitch angle control of wind turbine.
:当风速高于额定值时,风力机的输出功率应保持在额定值,以防止发电系统过热。此外,自然风速会在大范围内随机波动,使得传统的控制效果不理想。提出了一种新的风力发电机H∞(H∞)螺距控制策略,该策略可以在风速大范围变化时使转子转速和输出功率保持恒定。为了缩短响应时间和减少超调,在具体解中,控制方法结合了H∞理论和Takagi-Sugeno (T-S)模糊理论。首先,利用T-S模糊理论建立了多个工作点的线性化模型;然后,基于H∞控制理论设计了各线性子系统的鲁棒控制器。通过隶属度函数将各子系统的控制器叠加为整个系统的全局控制器。最后在MATLAB/SIMULINK中进行建模和仿真。仿真结果表明,当风速在额定转速以上变化时,转子转速能保持在额定值,输出功率也能保持在额定值。与最优控制相比,该方法的响应速度更快,超调量更小。为风力机的俯仰角控制提供了新的思路。
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引用次数: 0
An Improved Apriori Algorithm for Association Rule Mining in Employability Analysis 就业能力分析中关联规则挖掘的改进Apriori算法
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230327000481
Fang Peng, Yuhui Sun, Zigen Chen, Jing Gao
: The wide application of emerging advanced technologies causes significant changes in the development trend of the employment market. The lack of flexible and easy-to-implement analysis methods challenges general maritime education practitioners to understand the developing trends. This research proposed the improved Apriori algorithm to explore employment preference by identifying the association rule of the employability indicators and the employment status. The candidate generation methods are optimised based on the questionnaire design to generate fewer candidates. The minimum support value is automatically generated to reduce the reliance on analysis expertise and improve accuracy. To validate the algorithm, a questionnaire for the maritime graduate is used to collect employment data to test the efficiency and capability of the improved algorithm. The computation time for different data set sizes shows that the improvement could improve the algorithm's effectiveness. The algorithm also successfully identifies significant employment preference that certain employment types emphasise specific employability skills, such as responsibility and core professional skills. The results suggest that the improved A algorithm could reduce the computing burden and identify the employment preference from questionnaire data. This research provides easy-to-use and flexible analysis tools, which could reduce the computing expertise required for education practitioners.
新兴先进技术的广泛应用使就业市场的发展趋势发生了重大变化。缺乏灵活且易于实施的分析方法对一般海事教育从业者了解发展趋势提出了挑战。本研究提出了改进的Apriori算法,通过识别就业能力指标与就业状况的关联规则来探索就业偏好。在问卷设计的基础上,优化候选生成方法,减少候选生成量。最小支持值自动生成,以减少对分析专家的依赖并提高准确性。为了验证该算法的有效性,通过对海事毕业生的问卷调查来收集就业数据,以检验改进算法的效率和能力。不同数据集规模下的计算时间表明,改进后的算法可以提高算法的有效性。该算法还成功地识别出重要的就业偏好,即某些就业类型强调特定的就业技能,如责任和核心专业技能。结果表明,改进的A算法可以减少计算负担,并从问卷数据中识别就业偏好。这项研究提供了易于使用和灵活的分析工具,可以减少对教育从业者的计算专业知识的要求。
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引用次数: 0
Analysis on Supply Chain Risk Factors of Prefabricated Buildings Using AHP-DEMATEL-ISM Model 基于AHP-DEMATEL-ISM模型的装配式建筑供应链风险因素分析
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230508000614
Qiang Cai, Yunchao Du, Renxiang Wang
: Given the numerous participants in the supply chain of prefabricated buildings and the great difficulty in improving risk management and control level, influencing factors through the literature review method were identified. Then, 7 first-level indexes and 23 second-level indexes were extracted. An influence index system for supply chain risks of prefabricated buildings was established. Comprehensively considering the importance and correlation of various influencing factors, the AHP-DEMATEL (Analytic Hierarchy Process and Decision-making Trial and Evaluation Laboratory) combined model was constructed, which solved the one-sided problem of the weight result of a single model. Then, the ISM (Interpretative Structural Modelling) model could be used to show the characteristics of the structural relationship of influencing factors hierarchically, and the fundamental supply chain risk factors were more accurately and clearly explored using the AHP-DEMATEL-ISM model. Results show that: (1) Logistics transportation distance, damage to prefabricated components during transportation, and unreasonable control of assembly period are the fundamental factors affecting the risk of prefabricated buildings, among which logistics transportation distance and damage to prefabricated components during transportation are the resulting factors, and the unreasonable control of the assembly period is the causal factor, but the factor weight is low because of the difficulty in short-term improvement. (2) Component production technology and equipment, transportation distance, and punctuality of product supply account for a high weight in the supply chain risk assessment index system of prefabricated buildings. (3) A total of 11 factors, such as inconformity of product design and standard, immature design technology level, component production technology and equipment, and quality of purchased materials, affect the supply chain risk of prefabricated buildings and are also causal factors with high weights. Conclusions obtained in the study provide a theoretical basis for the supply chain risk control of prefabricated buildings to a certain extent and also present a new perspective for the supply chain risk assessment of prefabricated buildings.
:鉴于装配式建筑供应链参与者众多,风险管控水平提升难度较大,通过文献综述法确定影响因素。然后提取出7个一级指标和23个二级指标。建立了装配式建筑供应链风险影响指标体系。综合考虑各影响因素的重要性和相关性,构建了AHP-DEMATEL (Analytic Hierarchy Process and Decision-making Trial and Evaluation Laboratory)组合模型,解决了单一模型权重结果片面的问题。然后,可以使用ISM (Interpretative Structural modeling)模型分层显示影响因素的结构关系特征,使用AHP-DEMATEL-ISM模型更准确、清晰地探索供应链的基础风险因素。结果表明:(1)物流运输距离、运输过程中预制构件损坏、装配周期控制不合理是影响装配式建筑风险的根本因素,其中物流运输距离、运输过程中预制构件损坏是结果因素,装配周期控制不合理是因果因素;但由于短期内难以改善,因子权重较低。(2)构件生产技术与设备、运输距离、产品供货准时性在装配式建筑供应链风险评价指标体系中占有较高权重。(3)影响装配式建筑供应链风险的因素有产品设计与标准不符合、设计技术水平不成熟、构件生产技术与设备、采购材料质量等11个因素,也是权重较高的因果因素。研究得出的结论在一定程度上为装配式建筑供应链风险控制提供了理论依据,也为装配式建筑供应链风险评估提供了新的视角。
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引用次数: 0
Universal Model for the Quality Analysis of Aluminium Alloys Castings 铝合金铸件质量分析的通用模型
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230128000283
A. Pacana, K. C. Ń. Ska
: The production of products in foundry technology is fraught with many problems, including the impossibility of controlling all parameters affecting casting quality. It is important to take effective improvement measures related to the implication of non-destructive testing (NDT), but these methods are rarely combined in the diagnostic cycle. As part of quality assurance, it is also important to identify the root causes of problems. In view of this, it is appropriate to develop a model that facilitates diagnosis and the search for the key causes of nonconformity, which would be a combination of NDT and quality management methods. The originality of the model presented in the study is reflected in the combination of NDT and quality management methods. The model presents a universal method that can be implemented in foundries to ensure the stability of production processes. The application of the model brings tangible benefits in the form of an increase in the speed of detection and a reduction in non-conformities in aluminium castings, which significantly increases the quality level of the products offered. Further research directions will address the application of the model within foundry processes characterised by loss of quality stability.
当前铸造技术中产品的生产存在许多问题,包括不可能控制影响铸造质量的所有参数。采取与无损检测(NDT)含义相关的有效改进措施很重要,但这些方法很少在诊断周期中结合使用。作为质量保证的一部分,确定问题的根本原因也很重要。鉴于此,建立一种便于诊断和查找不符合关键原因的模型是合适的,该模型将无损检测与质量管理方法相结合。本研究模型的独创性体现在无损检测与质量管理方法的结合上。该模型提供了一种通用的方法,可以在铸造厂实施,以确保生产过程的稳定性。该模型的应用带来了实实在在的好处,提高了检测速度,减少了铝铸件的不合格率,大大提高了所提供产品的质量水平。进一步的研究方向将解决该模型在铸造过程中的应用,其特点是质量稳定性的损失。
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引用次数: 0
A Method for Automatically Generating Join Queries Based on Relations-Attributes Distance Matrix over Data Lakes 基于关系-属性距离矩阵的数据湖连接查询自动生成方法
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230402000493
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引用次数: 0
Planning of Electric Vehicle Charging Facilities on Highways Based on Chaos Cat Swarm Simulated Annealing Algorithm 基于混沌猫群模拟退火算法的高速公路电动汽车充电设施规划
IF 0.9 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-10-15 DOI: 10.17559/tv-20230320000459
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引用次数: 0
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Tehnicki Vjesnik-Technical Gazette
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