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Engine universal characteristic modeling based on improved ant colony optimization

International Journal of Agricultural and Biological Engineering 2015年第5期8卷 26-35页

作者： chen Fuen Jiang Shihui Xie Xin chen longhan Lan Yubin School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA College of Engineering South China Agricultural UniversityGuangzhou 510642China

There have been some mathematics methods to model farm vehicle engine universal characteristic mapping(EUCM).Nevertheless,any of different mathematics methods used would possess its own strengths and *** a result,these modeling methods about EUCM are not the same among the most vehicle *** order to obtain a better robustness EUCM,an improved ant colony optimization was introduced into a traditional cubic surface regression method for modeling *** on this method,the test data were regressed into a three-dimensional cubic surface,after that it was cut by some equal specific fuel consumption(ESFC)planes,more than twenty two-dimensional ESFC equations were ***,the engine speed in every ESFC equation was discretized to obtain a set of ESFC points,and this set of ESFC points was linked into a closed curve by a given sequence via the improved ant colony *** order to improve the modeling speed,dimensionality reduction and discretization methods were *** addition,a corresponding simulation platform was also developed to obtain an optimal system *** were 48000 simulation search tests carried out on the platform,and the major parameters of the algorithm were *** this way the EUCM was established *** contrast with other methods,as a result of the application of the novel bionic intelligent algorithm,it has better robustness,less distortion and higher calculating speed,and it is available for both gasoline engines and diesel engines.

关键词： engines universal characteristics improved ant colony algorithm genetic algorithm cubic surface regression

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Test bed for farm vehicle onboard hydrogen production system with microwave plasma

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International Journal of Agricultural and Biological Engineering 2016年第6期9卷 65-74页

作者： chen Fuen chen longhan Xie Xin Li Xiang Yubin Lan School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityMI48309USA College of Engineering South China Agricultural UniversityGuangzhou510642China

Energy conservation and emission reduction are the focus *** vehicle engine would be more efficient if it is injected a little hydrogen during work,meanwhile,the emission of the vehicle would be ***,there are many kinds of onboard hydrogen production methods,among which the microwave plasma method is regarded as the *** order to develop an onboard hydrogen production system using microwave plasma,a new corresponding test bed was designed and developed in this *** ethanol,water and air from the three supply pipelines were mixed and evaporated into gas mixture,and then the mixture was further created into hydrogen through microwave plasma *** the test bed,a hydrogen production environment required for the reaction was provided,and hydrogen would come into being when the air was broken down by the plasma under the conditions of 0.1-0.7 ***,the reaction conditions could be controlled precisely,and real-time environmental data and spectral data could be collected during the hydrogen *** experimental results showed that onboard hydrogen production could be achieved on this test bed,and the hydrogen amount produced could be adjusted to simulate real vehicle working *** addition,the system is of rapid response,high precision and reliability,which can be applied in new products developments of the onboard hydrogen production system.

关键词： hydrogen production test bed microwave plasma farm vehicle emission steam reforming partial oxidation

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Novel method for real-time detection and tracking of pig body and its different parts

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International Journal of Agricultural and Biological Engineering 2020年第6期13卷 144-149页

作者： Fuen chen Xiaoming Liang longhan chen Baoyuan Liu Yubin Lan School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA School of electronics and electrical engineering Beijing Jiaotong University Haibin CollegeHuanghua 061199HebeiChina College of Engineering South China Agricultural UniversityGuangzhou 510642China

Detection and tracking of all major parts of pig body could be more productive to help to analyze pig *** achieve this goal,a real-time algorithm based on You Only Look At CoefficienTs(YOLACT)was proposed.A pig body was divided into ten parts:one head,one trunk,four thighs and four *** the key points of each part were calculated by the novel algorithm,which was based mainly on combination of the Zhang-Suen thinning algorithm and Gravity *** experiment results showed that these parts of pig body could be detected and tracked,and their contributions to overall pig activity could also be sought *** detect accuracy of the algorithm in the data set could reach up to 90%,and the processing speed to 30.5 ***,the algorithm was robust and adaptive.

关键词： computer vision CNN pig YOLACT detection and tracking

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Novel real-time safety algorithm for predicting multi-targets in the farmland road

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International Journal of Agricultural and Biological Engineering 2023年第5期16卷 198-203页

作者： Xiaoming Liang Fu’en chen longhan chen Deyue Li Bin Guo Yubo Liang Yubin Lan China North Vehicle Research Institute Beijing 100072China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Oakland UniversityRochesterMI 48309USA School of Electronics and Electrical Engineering Beijing Jiaotong University Haibin CollegeHuanghua 061199HebeiChina The First Research Institute of the Ministry of Public Security Beijing 100048China College of Engineering South China Agricultural UniversityGuangzhou510642China

The more information obtained about the driving environment,the more ensures driving *** to the complex driving environment of farmland roads,targets beside the road sometimes have an important impact on driving *** achieve this goal,a novel real-time detection and prediction algorithm of targets was *** whole image was divided into four parts by RCM:driving region,crossroad region,roadside region,and the other *** addition,a safety policy for every part was enforced by the algorithm,which was based mainly on the combination of the YOLACT and *** this basis,a self-collected data set of 5000 test samples is used for *** detection accuracy of the algorithm in the data set could reach up to 90%,and the processing speed to 30.4 *** addition,experiments were carried out on actual farmland roads,and the results showed that the proposed algorithm was able to detect,track,and predict targets on the farmland road,and alarm to driver in time before the targets rush into the *** study provides an important reference for the safe driving of agricultural vehicles.

关键词： real-time safety algorithm for predicting multi-target farmland road computer vision

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Stretchable and durable HD-sEMG electrodes for accurate recognition of swallowing activities on complex epidermal surfaces

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Microsystems & Nanoengineering 2023年第5期9卷 127-140页

作者： Ding Zhang Zhitao chen Longya Xiao Beichen Zhu RuoXuan Wu chengJian Ou Yi Ma longhan Xie Hongjie Jiang Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou 511442P.R.China School of Biomedical Sciences and Engineering South China University of TechnologyGuangzhou 511442P.R.China

Surface electromyography(sEMG)is widely used in monitoring human ***,it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx,because regular sEMG electrodes have stiff *** this study,we developed a stretchable,high-density sEMG electrode array via layerby-layer printing and *** electrode offered a series of excellent human‒machine interface features,including conformal adhesion to the skin,high electron-to-ion conductivity(and thus lower contact impedance),prolonged environmental adaptability to resist water evaporation,and epidermal *** made the electrode more appropriate than commercial electrodes for long-term wearable,high-fidelity sEMG recording devices at complicated skin *** in vivo studies were used to investigate its ability to classify swallowing activities,which was accomplished with high accuracy by decoding the sEMG signals from the chin via integration with an ear-mounted wearable system and machine learning *** results demonstrated the clinical feasibility of the system for noninvasive and comfortable recognition of swallowing motions for comfortable dysphagia rehabilitation.

关键词： electrode recording mounted

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长春龙动物群中的兽脚类材料及其多样性

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吉林大学学报（地球科学版） 2022年第6期52卷 1844-1854页

作者：王珑翰李晓波陈军吉林大学地球科学学院/恐龙演化研究中心/未来科学国际合作联合实验室长春130061 教育部哲学社会科学实验室(吉林大学生物考古实验室) 长春13001

吉林省中部地区白垩系泉头组中保存了一个典型的脊椎动物化石群,该动物群以基干鸟脚类娇小长春龙为代表,还包括禽龙类、角龙类、兽脚类、蜥脚类、鳄类、真兽类,以及恐龙蛋等8类陆生脊椎动物化石,笔者将其定名为长春龙动物群。为了研究... 详细信息

吉林省中部地区白垩系泉头组中保存了一个典型的脊椎动物化石群,该动物群以基干鸟脚类娇小长春龙为代表,还包括禽龙类、角龙类、兽脚类、蜥脚类、鳄类、真兽类,以及恐龙蛋等8类陆生脊椎动物化石,笔者将其定名为长春龙动物群。为了研究该动物群的物种多样性,笔者对该动物群中的兽脚类牙齿材料进行了较为详细系统的研究。我们将测量获取的化石特征数据绘制成二维散点图进行分析,并结合牙齿特征开展标本的骨骼形态学对比与鉴定。研究发现在该动物群中至少存在4种不同类型兽脚类恐龙,分别为跃龙类、驰龙类、暴龙类和未定类。其中,驰龙类材料在松辽盆地中生代地层中是首次发现。长春龙动物群中兽脚类的分异性,从侧面说明了长春龙动物群应为一个物种组成十分丰富的脊椎动物群落。

关键词：长春龙动物群兽脚类牙齿化石多样性

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SVR优化算法及其在蓄电池容量预测中的应用

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仪器仪表学报 2009年第6期30卷 1313-1316页

作者：曹龙汉吴帆黄剑陈学军重庆通信学院控制工程重点实验室重庆400035 重庆大学自动化学院重庆400044 中国四联仪器仪表集团公司技术中心重庆401121

提出一种优化的支持向量机回归算法(SVR)并应用于阀控密封铅酸蓄电池(VRLA)的容量预测。选定径向基函数作为支持向量机回归算法的核函数,分别使用遗传算法和遗传退火算法对核参数进行寻优,在此基础上建立了蓄电池容量预测模型.比较了在... 详细信息

提出一种优化的支持向量机回归算法(SVR)并应用于阀控密封铅酸蓄电池(VRLA)的容量预测。选定径向基函数作为支持向量机回归算法的核函数,分别使用遗传算法和遗传退火算法对核参数进行寻优,在此基础上建立了蓄电池容量预测模型.比较了在遗传算法和遗传退火算法两种参数优化方法下支持向量机回归算法对VRLA容量预测的精准度。仿真结果表明,基于遗传退火算法寻优的支持向量机回归算法用于VRLA容量预测的性能优于单一的遗传寻优算法。

关键词：支持向量机回归遗传退火算法 VRLA蓄电池容量预测

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基于仿生尼龙丝的圆柱绕流被动控制

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实验流体力学 2023年第4期37卷 66-75页

作者：陈文礼林隆瀚邓质高东来哈尔滨工业大学结构工程灾变与控制教育部重点实验室哈尔滨150090 哈尔滨工业大学土木工程智能防灾减灾工业和信息化部重点实验室哈尔滨150090 哈尔滨工业大学智慧基础设施研究中心哈尔滨150090

通过风洞实验研究了鸟类羽毛仿生尼龙丝对圆柱绕流场的控制效果及机理。仿生尼龙丝布置于圆柱的前驻点,雷诺数为2.67×10^(4),特征变量为尼龙丝长度与圆柱直径之比L/D。采用表面压力测量系统获取圆柱表面压力系数以分析圆柱周围的空气... 详细信息

通过风洞实验研究了鸟类羽毛仿生尼龙丝对圆柱绕流场的控制效果及机理。仿生尼龙丝布置于圆柱的前驻点,雷诺数为2.67×10^(4),特征变量为尼龙丝长度与圆柱直径之比L/D。采用表面压力测量系统获取圆柱表面压力系数以分析圆柱周围的空气动力。利用高速粒子图像测速(PIV)系统获取圆柱的二维流场信息,并将获取的信息进行本征正交分解(POD),得到流场瞬时特性和时均特性。实验结果表明:L/D1.0时,尼龙丝可以显著降低圆柱尾流场的湍动能和雷诺应力,并抑制圆柱的升力系数和阻力系数;当L/D足够大时,尼龙丝可以抑制剪切层之间的相互接触,从而改变圆柱的卡门涡街旋涡脱落模式。

关键词：圆柱尾流空气动力仿生流动控制尼龙丝风洞实验粒子图像测速本征正交分解

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基于MATLAB/Simulink的光伏电池仿真建模研究

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半导体光电 2015年第5期36卷 718-721页

作者：曹龙汉余佳玲李景南陈福光重庆通信学院电力工程系重庆400035

针对目前光伏电池仿真模型参数多、计算复杂等问题,利用任意工况下的三个工作点的电压电流值,并考虑工作环境变化的影响,提出了一种基于MATLAB/Simulink的光伏电池改进仿真模型。采用Uni-Solar公司的柔性太阳能组件1L进行模型验证,并与S... 详细信息

针对目前光伏电池仿真模型参数多、计算复杂等问题,利用任意工况下的三个工作点的电压电流值,并考虑工作环境变化的影响,提出了一种基于MATLAB/Simulink的光伏电池改进仿真模型。采用Uni-Solar公司的柔性太阳能组件1L进行模型验证,并与Simulink自带的Solar Cell模块在不同工况下的输出特性以及实际光伏电池输出进行比较。结果表明,在辐照度、温度发生变化的情况下,该仿真模型误差小于Solar Cell模块。

关键词：光伏电池仿真模型 MATLAB/Simulink Solar Cell模块

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EV-DO网络ISAG网关ParlayX解码模块的设计与研究

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电视技术 2014年第9期38卷 107-110页

作者：陈遵义曹龙汉张治中罗鹏重庆邮电大学通信网与测试技术重点实验室重庆400065 重庆通信学院控制工程重点实验室重庆400035

EV-DO是CDMA2000 1x网络面向数据业务的演进技术,在深入分析EV-DO网络ParlayX协议数据格式的基础上,提出了基于XML格式ParlayX协议解码模块的设计方案和实现方法,有效解决了在同一协议中采用不同承载方式的数据解码难题。通过EVDO测试... 详细信息

EV-DO是CDMA2000 1x网络面向数据业务的演进技术,在深入分析EV-DO网络ParlayX协议数据格式的基础上,提出了基于XML格式ParlayX协议解码模块的设计方案和实现方法,有效解决了在同一协议中采用不同承载方式的数据解码难题。通过EVDO测试系统对该解码方案进行验证,结果表明实现了HTTP解码模块和SOAP解码模块耦合。这对进一步实现EVDO网络增值业务的质量监测和优化具有重要意义。

关键词： EVDO ParlayX XML 解码模块

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