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New Hybrid AD Methodology for Minimizing the Total Amount of Information Content:A Case Study of Rehabilitation Robot Design 被引量:3
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作者 Tao Yang xueshan gao Fuquan Dai 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2020年第6期177-186,共10页
Converting customer needs into specific forms and providing consumers with services are crucial in product design.Currently,conversion is no longer difficult due to the development of modern technology,and various mea... Converting customer needs into specific forms and providing consumers with services are crucial in product design.Currently,conversion is no longer difficult due to the development of modern technology,and various measures can be applied for product realization,thus increasing the complexity of analysis and evaluation in the design process.The focus of the design process has thus shifted from problem solving to minimizing the total amount of information content.This paper presents a New Hybrid Axiomatic Design(AD)Methodology based on iteratively matching and merging design parameters that meet the independence axiom and attribute constraints by applying trimming technology,the ideal final results,and technology evolution theory.The proposed method minimizes the total amount of information content and improves the design quality.Finally,a case study of a rehabilitation robot design for hemiplegic patients is presented.The results indicate that the iterative matching and merging of related attributes can minimize the total amount of information content,reduce the cost,and improve design efficiency.Additionally,evolutionary technology prediction can ensure product novelty and improve market competitiveness.The methodology provides an excellent way to design a new(or improved)product. 展开更多
关键词 Axiomatic design Amount of information content TRIMMING Rehabilitation robot
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Mobile Robot Combination Autonomous Behavior Strategy to Inspect Hazardous Gases in Relatively Narrow Man–Machine Environment
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作者 xueshan gao Qingfang Zhang +3 位作者 Mingkang Li Bingqing Lan Xiaolong Fu Jingye Li 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2022年第6期110-122,共13页
Selecting the optimal speed for dynamic obstacle avoidance in complex man–machine environments is a challenging problem for mobile robots inspecting hazardous gases.Consideration of personal space is important,especi... Selecting the optimal speed for dynamic obstacle avoidance in complex man–machine environments is a challenging problem for mobile robots inspecting hazardous gases.Consideration of personal space is important,especially in a relatively narrow man–machine dynamic environments such as warehouses and laboratories.In this study,human and robot behaviors in man–machine environments are analyzed,and a man–machine social force model is established to study the robot obstacle avoidance speed.Four typical man–machine behavior patterns are investigated to design the robot behavior strategy.Based on the social force model and man–machine behavior patterns,the fuzzy-PID trajectory tracking control method and the autonomous obstacle avoidance behavior strategy of the mobile robot in inspecting hazardous gases in a relatively narrow man–machine dynamic environment are proposed to determine the optimal robot speed for obstacle avoidance.The simulation analysis results show that compared with the traditional PID control method,the proposed controller has a position error of less than 0.098 m,an angle error of less than 0.088 rad,a smaller steady-state error,and a shorter convergence time.The crossing and encountering pattern experiment results show that the proposed behavior strategy ensures that the robot maintains a safe distance from humans while performing trajectory tracking.This research proposes a combination autonomous behavior strategy for mobile robots inspecting hazardous gases,ensuring that the robot maintains the optimal speed to achieve dynamic obstacle avoidance,reducing human anxiety and increasing comfort in a relatively narrow man–machine environment. 展开更多
关键词 Social force model Man–machine behavior pattern Dynamic obstacle avoidance
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The Diagnostic Significance of Ultrasound and Ultrasound-guided Coarse Needle Biopsy in Breast Cancer in Pregnancy
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作者 Jihai Jin Dongxing Zheng +1 位作者 xueshan gao Guangrong Lin 《Proceedings of Anticancer Research》 2020年第3期4-6,共3页
Objective:To explore the significance of ultrasound and ultrasound-guided coarse needle biopsy in the clinical diagnosis of breast cancer patients in pregnancy.Methods:A total of 10 patients with breast cancer in preg... Objective:To explore the significance of ultrasound and ultrasound-guided coarse needle biopsy in the clinical diagnosis of breast cancer patients in pregnancy.Methods:A total of 10 patients with breast cancer in pregnancy were selected to study from October 2018 to October 2019 in our hospital,who were given preoperative ultrasound results and ultrasound-guided coarse-needle biopsy histopathology,and the results were analyzed.Results:All the 10 patients showed thickening of the mammary gland body,appeared to pick up disorderly situation,most of the dilated catheter,including 8 patients with solid hypoechoic mass,irregular shape,and“crab foot”edge burr.The corresponding aspect ratio value was greater than 1.The other 2 patients presented with cystic mixed masses with poor boundary definition,irregular shape,and mostly accompanied by posterior echo enhancement.Conclusion:Simple ultrasound diagnosis for patients with breast cancer during pregnancy has some errors,and should be used in combination with ultrasound-guided coarse needle biopsy operation.This method has a high clinical diagnosis rate and significant clinical application value,so it is worth promoting. 展开更多
关键词 Ultrasound and ultrasound-guided coarse needle biopsy Breast cancer during pregnancy Clinical diagnosis
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