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In the process of tension wire construction of transmission lines, the key state quantities such as tension, inclination and spatial position of the traction walking plate directly affect the construction safety. At present, the construction personnel use visual observation to obtain the state quantity of traction walking plate in the process of tension wire construction. This monitoring method is not only inefficient, and there are personal subjective factors of judgment errors. For this reason, this paper develops a kind of intelligent traction walking plate for tension wire construction, based on the principle of resistance strain type and gyroscope to obtain the tension and inclination of the traction walking plate, respectively, using two front cameras and two rear cameras to obtain the spatial position of the traction walking plate, and finally completing the real‐time transmission of the monitoring data through the Lora technology. The developed intelligent traction walking plate was applied in Shandong Heze Yongfeng 220 kV transmission line project on 11 October 2020, which improved the construction efficiency by 15.71% while ensuring the construction safety. [ABSTRACT FROM AUTHOR]

In view of the existing literature, only the optimization operation of hydrogen energy–wind/light new energy is considered, and the research problems such as comprehensive utilization of water resources and load control strategies are ignored. Based on the analysis of load characteristics of offshore wind power, this paper has established an optimal operation model of power‐fresh water energy system based on "wind‐hydrogen‐water‐electricity" interaction. Meanwhile, an electrolytic hydrogen individual load control strategy is proposed to match wind power fluctuations from the perspective of internal load regulation of electrolytic hydrogen system. From the economic characteristics, operation characteristics, accommodation situation and other simulation analysis, it can reduce the total operating cost by about 3.1%, improve the utilization rate of electrolytic cell capacity, and meet the water demand of coastal users. It shows that the individual control strategy and optimal operation model have advantages, which is of great significance for realizing low‐carbon, safe, and economical operation of power grid in the future. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to examine the casual role of higher-order thinking skills as a mediator in the relationship between students' strength in mathematics and achievement in electrical and electronic engineering education. Design/Methodology/Approach: The study adopted a quantitative research design where random cluster sampling was used to select a total of 488 final-year students from four technical universities in Ghana. Mathematics achievement tests were used to gather data on students' higher-order thinking skills and competence in five areas of mathematics. Also, their examination results were collected from their respective universities. Mediation analysis was done using AMOS 26. Finding: The study revealed that the positive effect of students' strengths in the five selected mathematics topics on their performance in electrical and electronic engineering education is mediated by their higher-order thinking skills. Conclusion: The research concludes that there is a partial mediation in the relationship between students' strength in mathematics and achievement in electrical and electronic engineering education by higher-order thinking skills. Research Limitations: It is recommended that further researchers carry out similar research with more mathematics indicators to explain more variations in achievement in electrical and electronic engineering education. Practical Implication: Engineering mathematics curriculum developers should stress the need for mathematics, especially algebra, for the development of higher-order thinking skills to facilitate problem-solving in electrical and electronic engineering education and practice. Contribution to Literature: This study highlights the relationship between the understanding of the concepts of specific mathematics topics, higher-order thinking skills, and achievement in electrical and electronic engineering education. [ABSTRACT FROM AUTHOR]

This study presents an approach for robust current and power control for a three‐phase grid‐connected inverter set up with an L‐filter that operates under an unbalanced AC grid‐voltage source. This control method consists of two paralleled current control for the positive and negative sequences to accomplish one of three selective control targets: a) supplying balanced three‐phase current; b) supplying non‐oscillated real power; and c) supplying non‐oscillated imaginary power to the AC grid for a given reference value utilizing the identical control gains. The real and imaginary power references, together with the measured grid voltages, are used in the computation of the reference current for each control target. In addition, the proposed dual‐current control system has a control law that comprises state feedback to offer stability and an integral effect to get rid of the offset error in the dq‐frame. To reduce settling time under uncertain system conditions, an optimization problem based on linear matrix inequalities is solved to determine a set of robust stabilizing gains. Simulation and experimental results using a TMS320F28377D digital signal processor validate the proposed control performance under three control targets. [ABSTRACT FROM AUTHOR]

Abstract In the process of tension wire construction of transmission lines, the key state quantities such as tension, inclination and spatial position of the traction walking plate directly affect the construction safety. At present, the construction personnel use visual observation to obtain the state quantity of traction walking plate in the process of tension wire construction. This monitoring method is not only inefficient, and there are personal subjective factors of judgment errors. For this reason, this paper develops a kind of intelligent traction walking plate for tension wire construction, based on the principle of resistance strain type and gyroscope to obtain the tension and inclination of the traction walking plate, respectively, using two front cameras and two rear cameras to obtain the spatial position of the traction walking plate, and finally completing the real‐time transmission of the monitoring data through the Lora technology. The developed intelligent traction walking plate was applied in Shandong Heze Yongfeng 220 kV transmission line project on 11 October 2020, which improved the construction efficiency by 15.71% while ensuring the construction safety.

The exponential growth in data traffic from smart devices has led to a need for highly capable wireless networks with faster data transmission rates and improved spectral efficiency. Allocating resources efficiently in a 5G communication system with a huge number of machine type communication (MTC) devices is essential to ensure optimal performance and meet the diverse requirements of different applications. The LTE‐A network offers high‐speed mobile data services and caters to MTC devices and has relatively low data service requirements compared to human‐to‐human (H2H) communications. LTE‐A networks require advanced scheduling schemes to manage the limited spectrum and ensure efficient transmissions. This necessitates effective resource allocation schemes to minimize interference between cells in future networks. To address this issue, a joint delay and energy aware Levy flight Brownian movement‐based dragonfly optimization (DELFBDO)‐based uplink resource allocation scheme for LTE‐A Networks is proposed in this work to optimize energy efficiency, maximize the throughput and reduce the latency. The DELFDO algorithm efficiently organizes packets in both time and frequency domains for H2H and MTC devices, resulting in improved quality of service while minimizing energy consumption. The Simulation results demonstrate that the proposed method increases the energy efficiency by producing the appropriate channel and power assignment for UEs and MTC devices. [ABSTRACT FROM AUTHOR]

Abstract In view of the existing literature, only the optimization operation of hydrogen energy–wind/light new energy is considered, and the research problems such as comprehensive utilization of water resources and load control strategies are ignored. Based on the analysis of load characteristics of offshore wind power, this paper has established an optimal operation model of power‐fresh water energy system based on “wind‐hydrogen‐water‐electricity” interaction. Meanwhile, an electrolytic hydrogen individual load control strategy is proposed to match wind power fluctuations from the perspective of internal load regulation of electrolytic hydrogen system. From the economic characteristics, operation characteristics, accommodation situation and other simulation analysis, it can reduce the total operating cost by about 3.1%, improve the utilization rate of electrolytic cell capacity, and meet the water demand of coastal users. It shows that the individual control strategy and optimal operation model have advantages, which is of great significance for realizing low‐carbon, safe, and economical operation of power grid in the future.

Purpose: The triple helix model measures the interactions between university, industry, and government and is used by researchers as a normative framework to understand the interactions between the main actors in innovation systems. The main goal of the current research is to analyze the dynamics of organizational interactions in the production of scientific articles in the field of electrical and electronic engineering in Iran. Therefore, this research tries to quantitatively assess the status of inter-organizational cooperation in scientific articles in the field of electrical and electronic engineering in Iran with the approach of the triple helix model. Method: The current research is of an applied type, which was conducted using the Triple Helix Model and based on the T(UIG) indicator for University-Industry-Government interactions. The statistical population of the research includes 19,802 scientific articles indexed in the Web of Science database, from Iran in the field of Electrical and Electronic Engineering, during 2010-2019. TH software was used to convert data that was extracted from the Web of Science database into Excel format and to calculate the uncertainty of the interactions of the elements. In order to make a proper analysis in this regard, first, based on the usual and common research process of this field, the university was considered with code U, the industry with code I, and the government with code G. Findings: The findings of the research showed that the number of articles has grown in the studied period and reached 3216 articles in 2019 from 1019 articles in 2010. The findings show that the production of articles in all three pillars has an upward growth and the growth rate of articles from 2010 to 2019 is 0.63 for university, 2.5 for industry and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010 and the lowest level of government-industry interactions, which was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has taken place, and the opposite is true for tripartite relationships, and in 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industrygovernment have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent. Conclusion: The findings showed that the number of articles has grown in the studied period, reaching 3216 articles in 2019 from 1019 articles in 2010. The results also show that the production of articles in all three pillars has an upward growth which the growth rate of articles from 2010 to 2019 is 0.63 for universities, 2.5 for industry, and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010, and the lowest level of government-industry interactions was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has been taken place, and the opposite is true for tripartite relationships. In 2010, the highest degree of triple interaction between university-industrygovernment pillars is observed. Based on the values of the T index, the highest amount of double and triple interactions between university-government, university-industry-government, universityindustry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent. [ABSTRACT FROM AUTHOR]