The economy of Fujian has caused tremendous development momentum and increased the economic exchanges between Taiwan and the mainland since the establishment of the free trade…
Abstract
The economy of Fujian has caused tremendous development momentum and increased the economic exchanges between Taiwan and the mainland since the establishment of the free trade area of Fujian province. However, the contradiction between ecological protection and economic development should be considered on the basis of solving the problem of building trade zones. Performing regional trade zone planning from the ecological and economic perspectives is difficult, not only should the ecological and economic perspectives meet and emphasize the ecological and economical levels of interaction, but also achieve the optimization of eco-economic development potential of the free trade zone. In view of the above problems, according to the economy and resource allocation base of the new trade zone in Fujian Province, the space planning strategy development was carried out in this paper. In the overall layout of the new trade zone, the chain service area, the high-end service area, and the city near the port are taken as a major planning axis. North and South regions are gathering areas of shipping, logistics and new industries, developing on three partitions of function, improvement and advance around Haijing Road. The landscape is divided into Cai Jianwei mountain and Jing Kouyan mountain as the basis, and the third South China Sea Road and Haixin road form six corridors between mountain and sea. With the foundation of international cruise port development planning, the ease of east harbors should be promoted to north, and the development rhythm od airport planning areas should be strictly controlled, which can prepare for the later spatial release of the relocation of the airport from city planning areas. The main line of the important traffic node is reserved to improve the stock space, and the industrial neighborhood area near the central fishing port of Fujian and Taiwan is reserved, which can provide the regional space preparation for the planning of the new trade zone.
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Xionghui Cai, Aixia Zhai, Chenglong Zhou and Kyung-Wook Paik
The purpose of this study is to investigate the reliability of flex-on-board (FOB) interconnection connected with an anisotropic conductive paste (ACP), which is prepared by…
Abstract
Purpose
The purpose of this study is to investigate the reliability of flex-on-board (FOB) interconnection connected with an anisotropic conductive paste (ACP), which is prepared by dispersing nickel balls in the epoxy-curing system.
Design/methodology/approach
Differential scanning calorimetry was used to evaluate the curing characteristics of the paste. And the contact resistances of bonding joints and 90º peel adhesion were tested before and after high temperature and high humidity test (85°C, 85% humidity), thermal cycling (−45°C∼125°C, 30min/cycle) and pressure cooker test (PCT, 121°C, 100% humidity 2 atm) to evaluate the flex on board (FOB) interconnection reliability.
Findings
It is found that FOB test vehicles have been successfully bonded by using ACP for the first time. And the ACP bonding joint of FOB has good reliability and can meet the requirements of FOB interconnection. Compared with conventional anisotropic conductive film (ACF), this ACP interconnection provides higher adhesion strength, higher joint current carrying capability and higher reliability performance and lower cost for FOB interconnection.
Originality/value
ACP is applied in the interconnection of FOB. It has the higher reliability performance and lower cost for than the conventional ACF.
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Keywords
Hui Xiong, Xiuzhi Shi, JinZhen Liu, Yimei Chen and Jiaxing Wang
The formation of unmanned aerial vehicle (UAV) swarm plays a critical role in numerous applications, such as unmanned agriculture, environmental monitoring and cooperative…
Abstract
Purpose
The formation of unmanned aerial vehicle (UAV) swarm plays a critical role in numerous applications, such as unmanned agriculture, environmental monitoring and cooperative fencing. Meanwhile, the self-organized swarm model exhibits excellent performance in amorphous formation flight, and its collective motion pattern displays great potential in dense obstacle avoidance. The paper aims to realize the formation maintenance of UAVs while combining the advantage of the self-organized swarm model in avoiding dense obstacles. Thereby enhancing the flexibility, adaptability and safety of UAV swarms in dense and unpredictable scenarios.
Design/methodology/approach
In this paper, a self-organized formation (SOF) swarm model with a constrained coordination mechanism is proposed. A global information-based formation rule is designed to flexibly maintain the formation. A constraint coordination mechanism is designed to resolve the problem of constraint conflicts between formation rules and self-organized behavior rules. The model introduces a new obstacle avoidance rule to prevent deadlocks. Extensive experiments including simulations, real flights and comparative experiments are conducted to evaluate the performance of the model.
Findings
The simulation results show that SOF swarm enables the formation elastically to dense obstacles. Compared to the Vasarhelyi model, swarm performance metrics are improved. For example, the task completion time of SOF swarm is reduced by 16%, 28% and 39% across the three obstacle densities, and the order of SOF swarm is improved by 4%, 13% and 18%, respectively. The proposed model is also validated with a swarm of seven quadcopters that can successfully navigate and maintain formation in a real-world indoor environment with dense obstacles. Video at: https://youtu.be/V8hYgOHxWls.
Research limitations/implications
The proposed formation rule is based on global information construction, which presents challenges in terms of communication overhead in distributed systems.
Originality/value
An SOF swarm model is proposed, which achieves formation maintenance by incorporating formation rule and constraint coordination mechanism and improves obstacle avoidance performance by introducing a new obstacle avoidance rule. After real UAVs verification, the model is feasible for practical deployment and provides a new solution to the formation flight and formation maintenance problems encountered in dense environments.