首页 > 最新文献

Journal of the Chinese Institute of Engineers最新文献

英文 中文
Artificial intelligence in intelligent vehicles: recent advances and future directions 智能汽车中的人工智能:最新进展和未来方向
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-09-30 DOI: 10.1080/02533839.2023.2262759
Tao Zhang, Tianyu Zhao, Yi Qin, Sucheng Liu
ABSTRACTAI has been widely used in intelligent transportation systems, autonomous driving and automated vehicles in particular. Intelligent vehicles in the future will be a combination of Internet of things and AI, and AI is the key for intelligent vehicles. The maturer the intelligent vehicles are, the more advanced the AI techniques will be applied in intelligent vehicles. In this paper, we perform a survey on the progress of AI applications in automated vehicles, including perception, autonomous driving, and test, and then discuss challenges of intelligent vehicles and recent advances in AI and prospective applications in the future transportation ecosystem, intelligent vehicles in particular.CO EDITOR-IN-CHIEF: Yuan, Shyan-MingASSOCIATE EDITOR: Yuan, Shyan-MingKEYWORDS: Intelligent vehiclesartificial intelligenceautomated vehiclesobject detection Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Guangxi Key Laboratory of Trusted Software (kx202016), Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province (obdma202001), and Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis (GXIC20-03).
摘要ai在智能交通系统,特别是自动驾驶和自动驾驶车辆中得到了广泛的应用。未来的智能汽车将是物联网和AI的结合,而AI是智能汽车的关键。智能汽车越成熟,人工智能技术在智能汽车上的应用就越先进。在本文中,我们对人工智能在自动驾驶汽车中的应用进展进行了调查,包括感知、自动驾驶和测试,然后讨论了智能汽车面临的挑战、人工智能的最新进展以及未来交通生态系统(特别是智能汽车)中潜在的应用。关键词:智能汽车、人工智能、自动驾驶汽车、目标检测披露声明作者未报告存在潜在利益冲突。项目资助:安徽省电力电子与运动控制重点实验室、广西可信软件重点实验室(kx202016)、浙江省海洋大数据挖掘与应用重点实验室(obdma202001)、广西混合计算与集成电路设计分析重点实验室(GXIC20-03)。
{"title":"Artificial intelligence in intelligent vehicles: recent advances and future directions","authors":"Tao Zhang, Tianyu Zhao, Yi Qin, Sucheng Liu","doi":"10.1080/02533839.2023.2262759","DOIUrl":"https://doi.org/10.1080/02533839.2023.2262759","url":null,"abstract":"ABSTRACTAI has been widely used in intelligent transportation systems, autonomous driving and automated vehicles in particular. Intelligent vehicles in the future will be a combination of Internet of things and AI, and AI is the key for intelligent vehicles. The maturer the intelligent vehicles are, the more advanced the AI techniques will be applied in intelligent vehicles. In this paper, we perform a survey on the progress of AI applications in automated vehicles, including perception, autonomous driving, and test, and then discuss challenges of intelligent vehicles and recent advances in AI and prospective applications in the future transportation ecosystem, intelligent vehicles in particular.CO EDITOR-IN-CHIEF: Yuan, Shyan-MingASSOCIATE EDITOR: Yuan, Shyan-MingKEYWORDS: Intelligent vehiclesartificial intelligenceautomated vehiclesobject detection Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Guangxi Key Laboratory of Trusted Software (kx202016), Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province (obdma202001), and Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis (GXIC20-03).","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
AI-based system for quick seismic estimation of building structures on urban disaster-prevention in Taiwan 基于人工智能的台湾城市防灾建筑结构快速地震估计系统
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-09-30 DOI: 10.1080/02533839.2023.2261987
Jin-Biau Wei, Yu-Chi Sung, Chung-Min Chiu, Chia-Hsuan Li, Sheng-Wei Kuo, Zhi-Yuan Chen, Xiao-Qin Liu, Siao-Syun Ke, Chih-Hao Hsu
ABSTRACTAccording to a survey by the Ministry of the Interior (MOI) in Taiwan, around half of the 8.93 million buildings in the country, which are over 30 years old, have inadequate seismic capacity due to outdated design standards or aging materials. To evaluate seismic capacity, a preliminary seismic evaluation (PSE) system that involves site investigation and shop drawing review (if available) by professional engineers is typically used. However, given the significant financial and manpower resources required, performing PSE on all buildings in Taiwan is not practical. In order to overcome the challenge of evaluating the seismic capacity of buildings in a cost-effective and efficient manner, this study developed an enhanced PSE system called QSEBS, based on deep learning technology. By leveraging government property tax databases, QSEBS can rapidly estimate the seismic capacity of buildings, with results consistent with those of the PSERCB system. The key advantage of QSEBS is its ability to eliminate the need for human labors in PSE, saving significant amounts of money and manpower, particularly for a large number of buildings. Thus, QSEBS can serve as a valuable tool to support the government’s urban disaster-prevention strategy and can be widely implemented.CO EDITOR-IN-CHIEF: Ou, Yu-ChenASSOCIATE EDITOR: Ou, Yu-ChenKEYWORDS: Back-propagation neural network (BPNN)preliminary seismic evaluation of reinforced concrete building (PSERCB)quick seismic estimation of building structures (QSEBS)Kruskal-Wallis H testdata cleaning Nomenclature Ac2=seismic-capacity indexA2500=seismic demand for a 2500-year return period earthquakeAc2/IA2500=seismic capacity-demand ratio for seismic vulnerability assessmentC=ratio of spectral acceleration divided by ground acceleration for a specific structural period in elastic normalized response spectrum of accelerationD=diameter of the rebars and stirrupsE=convenient representation of 2μ−1E_TACW=equivalent total area of column-wallE_W/CW=equivalent width per column-wallE_D/CW=equivalent depth per column-wallH=value of Kruskal-Wallis H testH0=null hypotheses for correlation evaluationI=importance factorR=response reduction factorSa=parameter of elastic design spectral acceleration responseTn=structural periodVu, e=ultimate elastic base shear demandVy=yield base shear demandVS30=average shear wave velocity for a soil depth of 30 mW=sum of weight lumped at the ground floor’s ceiling levelμ=ductility level△u=ultimate or code-specified displacement△y=yield displacementχ2=Chi-square valueDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study was supported by the National Science and Technology Center for Disaster Reduction, Taiwan [Grant No. NCDR-S-111012].
【摘要】根据台湾内政部的一项调查,在台湾893万幢楼龄超过30年的建筑物中,约有一半因设计标准过时或材料老化而抗震能力不足。为了评估地震能力,通常使用初步地震评估(PSE)系统,包括由专业工程师进行现场调查和车间图纸审查(如果有的话)。然而,考虑到需要大量的财政和人力资源,对台湾所有的建筑物进行PSE是不现实的。为了克服以经济高效的方式评估建筑物抗震能力的挑战,本研究开发了一种基于深度学习技术的增强型PSE系统,称为QSEBS。通过利用政府财产税数据库,QSEBS可以快速估计建筑物的抗震能力,其结果与PSERCB系统的结果一致。QSEBS的主要优点是它能够消除对PSE中人工劳动的需求,节省大量的金钱和人力,特别是对于大量的建筑物。因此,QSEBS可以作为支持政府城市防灾战略的宝贵工具,并可以广泛实施。副主编:欧宇晨【关键词】地震易损性评价;地震易损性评价;地震易损性评价;地震易损性评价;地震易损性评价;;地震易损性评价;;加速度响应谱ond =钢筋和箍筋直径se = 2μ−1E_TACW=柱等效总面积-墙体w /CW=每柱等效宽度-墙体d /CW=每柱等效深度-墙体H= Kruskal-Wallis H值testH0=相关性评价的零假设i =重要因子r =响应缩减因子sa =弹性设计谱加速度响应参数setn =结构周期dvu;e=极限弹性基础剪切需求y=屈服基础剪切需求dvs30 =土层深度为30mw时的平均剪切波速=地面层顶板的重量总和μ=延性水平△u=极限或规范规定的位移△y=屈服位移χ2=卡方值披露声明作者未报告潜在的利益冲突。本研究由台湾国家减灾科学技术中心资助[批准号:No. 5]。ncdr - s - 111012]。
{"title":"AI-based system for quick seismic estimation of building structures on urban disaster-prevention in Taiwan","authors":"Jin-Biau Wei, Yu-Chi Sung, Chung-Min Chiu, Chia-Hsuan Li, Sheng-Wei Kuo, Zhi-Yuan Chen, Xiao-Qin Liu, Siao-Syun Ke, Chih-Hao Hsu","doi":"10.1080/02533839.2023.2261987","DOIUrl":"https://doi.org/10.1080/02533839.2023.2261987","url":null,"abstract":"ABSTRACTAccording to a survey by the Ministry of the Interior (MOI) in Taiwan, around half of the 8.93 million buildings in the country, which are over 30 years old, have inadequate seismic capacity due to outdated design standards or aging materials. To evaluate seismic capacity, a preliminary seismic evaluation (PSE) system that involves site investigation and shop drawing review (if available) by professional engineers is typically used. However, given the significant financial and manpower resources required, performing PSE on all buildings in Taiwan is not practical. In order to overcome the challenge of evaluating the seismic capacity of buildings in a cost-effective and efficient manner, this study developed an enhanced PSE system called QSEBS, based on deep learning technology. By leveraging government property tax databases, QSEBS can rapidly estimate the seismic capacity of buildings, with results consistent with those of the PSERCB system. The key advantage of QSEBS is its ability to eliminate the need for human labors in PSE, saving significant amounts of money and manpower, particularly for a large number of buildings. Thus, QSEBS can serve as a valuable tool to support the government’s urban disaster-prevention strategy and can be widely implemented.CO EDITOR-IN-CHIEF: Ou, Yu-ChenASSOCIATE EDITOR: Ou, Yu-ChenKEYWORDS: Back-propagation neural network (BPNN)preliminary seismic evaluation of reinforced concrete building (PSERCB)quick seismic estimation of building structures (QSEBS)Kruskal-Wallis H testdata cleaning Nomenclature Ac2=seismic-capacity indexA2500=seismic demand for a 2500-year return period earthquakeAc2/IA2500=seismic capacity-demand ratio for seismic vulnerability assessmentC=ratio of spectral acceleration divided by ground acceleration for a specific structural period in elastic normalized response spectrum of accelerationD=diameter of the rebars and stirrupsE=convenient representation of 2μ−1E_TACW=equivalent total area of column-wallE_W/CW=equivalent width per column-wallE_D/CW=equivalent depth per column-wallH=value of Kruskal-Wallis H testH0=null hypotheses for correlation evaluationI=importance factorR=response reduction factorSa=parameter of elastic design spectral acceleration responseTn=structural periodVu, e=ultimate elastic base shear demandVy=yield base shear demandVS30=average shear wave velocity for a soil depth of 30 mW=sum of weight lumped at the ground floor’s ceiling levelμ=ductility level△u=ultimate or code-specified displacement△y=yield displacementχ2=Chi-square valueDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study was supported by the National Science and Technology Center for Disaster Reduction, Taiwan [Grant No. NCDR-S-111012].","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
2022 successful reviewers 2022成功审稿人
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-10 DOI: 10.1080/02533839.2023.2238396
Atmanli A. Chan, H. C. Chang
{"title":"2022 successful reviewers","authors":"Atmanli A. Chan, H. C. Chang","doi":"10.1080/02533839.2023.2238396","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238396","url":null,"abstract":"","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"25 1","pages":"i - i"},"PeriodicalIF":1.1,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74783245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
List of Reviewers for 2022 2022年评审人员名单
4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-10 DOI: 10.1080/02533839.2023.2238397
"List of Reviewers for 2022." Journal of the Chinese Institute of Engineers, 46(7), pp. ii–iii
“2022年的评审名单。”中国工程师学会学报,46(7),pp. ii-iii
{"title":"List of Reviewers for 2022","authors":"","doi":"10.1080/02533839.2023.2238397","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238397","url":null,"abstract":"\"List of Reviewers for 2022.\" Journal of the Chinese Institute of Engineers, 46(7), pp. ii–iii","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135493719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ethyl trifluoroacetate formation as a means to recover trifluoroacetic acid from dilute aqueous mixture: reaction, separation and purification 形成三氟乙酸乙酯从稀水混合物中回收三氟乙酸的方法:反应、分离和纯化
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-07 DOI: 10.1080/02533839.2023.2238771
Reshma R. Devale, Amit M. Katariya, Y. S. Mahajan
ABSTRACT Recovery of trifluoroacetic acid (TFA) by distillation is difficult due to the existence of a high boiling azeotrope. Esterification of TFA to ethyl trifluoroacetate was performed in this work in order to recover the acid from its dilute aqueous mixture. The reaction was carried out in a batch reactor. Parameter estimation was done to obtain a kinetic model by using the experimental data. Reactive distillation studies were performed to explore its feasibility and process intensification. Methodology to obtain almost pure ethyl trifluoroacetate from dilute aqueous reaction mixture was devised.
摘要:由于存在高沸点的共沸物,用蒸馏法回收三氟乙酸(TFA)是困难的。为了从TFA的稀水混合物中回收该酸,本研究将TFA酯化成三氟乙酸乙酯。该反应在间歇式反应器中进行。利用实验数据进行了参数估计,得到了动力学模型。进行了反应精馏研究,以探索其可行性和工艺强化。设计了从稀水反应混合物中获得几乎纯的三氟乙酸乙酯的方法。
{"title":"Ethyl trifluoroacetate formation as a means to recover trifluoroacetic acid from dilute aqueous mixture: reaction, separation and purification","authors":"Reshma R. Devale, Amit M. Katariya, Y. S. Mahajan","doi":"10.1080/02533839.2023.2238771","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238771","url":null,"abstract":"ABSTRACT Recovery of trifluoroacetic acid (TFA) by distillation is difficult due to the existence of a high boiling azeotrope. Esterification of TFA to ethyl trifluoroacetate was performed in this work in order to recover the acid from its dilute aqueous mixture. The reaction was carried out in a batch reactor. Parameter estimation was done to obtain a kinetic model by using the experimental data. Reactive distillation studies were performed to explore its feasibility and process intensification. Methodology to obtain almost pure ethyl trifluoroacetate from dilute aqueous reaction mixture was devised.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"56 1","pages":"781 - 794"},"PeriodicalIF":1.1,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89223361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Alternative solutions for the physicochemical evaluation and improvement of the caking properties of calcium ammonium nitrate fertilizer as a quality problem under atmospheric conditions 作为常压条件下质量问题的硝酸铵钙肥结块特性的理化评价和改进的替代解决方案
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-04 DOI: 10.1080/02533839.2023.2238778
Aysu Kayalıoğlu
ABSTRACT Fertilizers are very sensitive to climatic conditions due to their hygroscopic nature. They tend to absorb moisture, weaken and accordingly lose their free-flowing property depending on the ambient conditions. In this study, the influence of storage conditions on a commercial grade calcium ammonium nitrate (CAN/26) fertilizer was investigated using methods that included simulation of storage and handling. The mechanical properties of CAN/26 fertilizer were observed by friability and crushing strength tests. Granule structure begins to weaken especially above a temperature of 40°C and a pressure of 0.33 kg/cm2. Sudden changes in ambient temperature enhance the caking propensity by 4.8%. Fertilizers above 65% relative humidity start to absorb moisture and degrade at very high temperatures. The phase transition of ammonium nitrate between crystalline forms plays an important role in the caking of CAN/26, as its tendency to agglomerate at about 32°C is greatly reduced. The results show that the granule degradation in CAN/26 fertilizer increases almost linearly with increasing temperature, humidity, and pressure but there is a sharp limit for each parameter for degradation to start. With these limits, it may be possible to carry out the protection and control of the good quality of fertilizers in the sector.
由于肥料的吸湿性,它们对气候条件非常敏感。它们往往会吸收水分,变弱,并因此失去其自由流动的特性,这取决于环境条件。以一种商品级硝酸铵钙(CAN/26)肥料为研究对象,采用模拟储存和搬运的方法,研究了贮存条件对其性能的影响。通过脆性和破碎强度试验,观察了CAN/26肥料的力学性能。颗粒结构开始减弱,特别是在温度超过40°C和压力为0.33 kg/cm2时。环境温度的突然变化使结块倾向增加4.8%。相对湿度超过65%的肥料在非常高的温度下开始吸收水分并降解。硝酸铵在结晶形态之间的相变对CAN/26的结块起重要作用,在32℃左右的温度下,CAN/26的结块倾向大大降低。结果表明,随着温度、湿度和压力的增加,CAN/26肥料中的颗粒降解几乎呈线性增加,但每个参数的降解开始都有一个明显的极限。有了这些限制,就有可能对该部门的肥料质量进行保护和控制。
{"title":"Alternative solutions for the physicochemical evaluation and improvement of the caking properties of calcium ammonium nitrate fertilizer as a quality problem under atmospheric conditions","authors":"Aysu Kayalıoğlu","doi":"10.1080/02533839.2023.2238778","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238778","url":null,"abstract":"ABSTRACT Fertilizers are very sensitive to climatic conditions due to their hygroscopic nature. They tend to absorb moisture, weaken and accordingly lose their free-flowing property depending on the ambient conditions. In this study, the influence of storage conditions on a commercial grade calcium ammonium nitrate (CAN/26) fertilizer was investigated using methods that included simulation of storage and handling. The mechanical properties of CAN/26 fertilizer were observed by friability and crushing strength tests. Granule structure begins to weaken especially above a temperature of 40°C and a pressure of 0.33 kg/cm2. Sudden changes in ambient temperature enhance the caking propensity by 4.8%. Fertilizers above 65% relative humidity start to absorb moisture and degrade at very high temperatures. The phase transition of ammonium nitrate between crystalline forms plays an important role in the caking of CAN/26, as its tendency to agglomerate at about 32°C is greatly reduced. The results show that the granule degradation in CAN/26 fertilizer increases almost linearly with increasing temperature, humidity, and pressure but there is a sharp limit for each parameter for degradation to start. With these limits, it may be possible to carry out the protection and control of the good quality of fertilizers in the sector.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"24 1","pages":"795 - 804"},"PeriodicalIF":1.1,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83836724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Animation of cycloid and spiral curves in companion with instantaneous center of rotation and radius of curvature 具有瞬时旋转中心和曲率半径的摆线曲线和螺旋曲线的动画
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-02 DOI: 10.1080/02533839.2023.2238768
Jeng-Tzong Chen, Chia-Ying Yang, Y. Chou, Chi-Ning Tsang
ABSTRACT In this paper, the animations for the 2D cycloid and the 3D spiral curves are done. The trajectories of instantaneous rotation center and the corresponding radius of curvature are given. We prove that the trajectory of the instantaneous center of rotation is also a cycloid. For a 3D spiral curve, the two radii and the two instantaneous centers of rotation for the spiral curve are also given. It is interesting to find that the two parameters in the Frenet equation have the same meaning of radius of curvature but in different planes. In a similar way of the 2D experience, we also confirm that the trajectory of the instantaneous center of rotation for a spiral curve is also a spiral curve. An example is also given to discuss the Puyuma express incident, a major accident in 2018. The curve of rail is interpolated and the radius of curvature is determined. Discussions on the radius of rail curve and the speed of train for the failure are done. Finally, the animation is implemented by using the MATLAB and the Mathematica software. Not only theoretical derivation for the curvature of a curve but also its real application to rail engineering is proposed.
本文对二维摆线和三维螺旋曲线进行了动画处理。给出了瞬时旋转中心的轨迹和相应的曲率半径。证明了瞬时旋转中心的轨迹也是一条摆线。对于三维螺旋曲线,给出了螺旋曲线的两个半径和两个瞬时旋转中心。有趣的是,Frenet方程中的两个参数具有相同的曲率半径含义,但在不同的平面上。在类似的二维经验中,我们也确认了螺旋曲线的瞬时旋转中心轨迹也是螺旋曲线。并以2018年发生的重大事故普尤马特快列车事故为例进行了讨论。对钢轨曲线进行插值,确定其曲率半径。对轨道曲线半径和列车运行速度对故障的影响进行了讨论。最后,利用MATLAB和Mathematica软件对动画进行了实现。提出了曲线曲率的理论推导及其在轨道工程中的实际应用。
{"title":"Animation of cycloid and spiral curves in companion with instantaneous center of rotation and radius of curvature","authors":"Jeng-Tzong Chen, Chia-Ying Yang, Y. Chou, Chi-Ning Tsang","doi":"10.1080/02533839.2023.2238768","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238768","url":null,"abstract":"ABSTRACT In this paper, the animations for the 2D cycloid and the 3D spiral curves are done. The trajectories of instantaneous rotation center and the corresponding radius of curvature are given. We prove that the trajectory of the instantaneous center of rotation is also a cycloid. For a 3D spiral curve, the two radii and the two instantaneous centers of rotation for the spiral curve are also given. It is interesting to find that the two parameters in the Frenet equation have the same meaning of radius of curvature but in different planes. In a similar way of the 2D experience, we also confirm that the trajectory of the instantaneous center of rotation for a spiral curve is also a spiral curve. An example is also given to discuss the Puyuma express incident, a major accident in 2018. The curve of rail is interpolated and the radius of curvature is determined. Discussions on the radius of rail curve and the speed of train for the failure are done. Finally, the animation is implemented by using the MATLAB and the Mathematica software. Not only theoretical derivation for the curvature of a curve but also its real application to rail engineering is proposed.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"104 1","pages":"693 - 702"},"PeriodicalIF":1.1,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86199849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An ensemble machine learning-based solar power prediction of meteorological variability conditions to improve accuracy in forecasting 基于集成机器学习的太阳能预测气象变率条件,以提高预测精度
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-01 DOI: 10.1080/02533839.2023.2238777
Priyadharshini Ramu, S. Gangatharan
ABSTRACT The increasing energy demand has significantly improved solar photovoltaic (SPV) systems as a distributed energy source. Real-time control of SPV performance is vital for accurate solar power (SP) prediction. The article proposes an ensemble Machine Learning Approach (MLA) called Random Forest Algorithm-Based Regression Model (RFARM) for hourly forecasting of SP. The approach selectively analyzes meteorological and solar irradiance data (SI) to enhance short-term solar panel prediction. It focuses on employing a correlation-based approach using an RFA with regression to achieve improved SP prediction accuracy. The study compares the PV power generated at Thiagarajar College of Engineering (TCE), Madurai, using four prediction techniques: Artificial Neural Networks (ANN), Random Forest (RF), K-Nearest Neighbours (KNN), and Support Vector Machine (SVM) along with a proposed RFARM for different meteorological weather conditions over a 24-hour time horizon. The proposed RFARM method achieves high prediction accuracy by selecting significant parameters, avoiding artificial filtering, and minimizing errors, particularly in predicting solar output during cloud shading. The RFARM model outperforms conventional methods in predicting the daily curve of solar power performance. It achieves an RMSE of 1.52, MAE of 14, and R-squared of 98%. Feature selection further improves accuracy, reducing RMSE by 12.5% and MAE by 17.2% respectively.
日益增长的能源需求显著改善了太阳能光伏(SPV)系统作为一种分布式能源。SPV性能的实时控制对太阳能发电的准确预测至关重要。本文提出了一种称为基于随机森林算法的回归模型(RFARM)的集成机器学习方法(MLA),用于SP的小时预测。该方法有选择地分析气象和太阳辐照度数据(SI),以增强短期太阳能电池板预测。它着重于采用基于相关性的方法,使用RFA和回归来提高SP预测精度。该研究比较了马杜赖Thiagarajar工程学院(TCE)的光伏发电,使用四种预测技术:人工神经网络(ANN)、随机森林(RF)、k近邻(KNN)和支持向量机(SVM),以及拟议的RFARM,在24小时的时间范围内不同的气象天气条件下。本文提出的RFARM方法通过选择重要参数、避免人工滤波和最小化误差来实现较高的预测精度,特别是在预测遮阳期间的太阳输出。RFARM模型在预测太阳能发电性能的日曲线方面优于传统方法。RMSE为1.52,MAE为14,r²为98%。特征选择进一步提高了准确率,RMSE降低了12.5%,MAE降低了17.2%。
{"title":"An ensemble machine learning-based solar power prediction of meteorological variability conditions to improve accuracy in forecasting","authors":"Priyadharshini Ramu, S. Gangatharan","doi":"10.1080/02533839.2023.2238777","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238777","url":null,"abstract":"ABSTRACT The increasing energy demand has significantly improved solar photovoltaic (SPV) systems as a distributed energy source. Real-time control of SPV performance is vital for accurate solar power (SP) prediction. The article proposes an ensemble Machine Learning Approach (MLA) called Random Forest Algorithm-Based Regression Model (RFARM) for hourly forecasting of SP. The approach selectively analyzes meteorological and solar irradiance data (SI) to enhance short-term solar panel prediction. It focuses on employing a correlation-based approach using an RFA with regression to achieve improved SP prediction accuracy. The study compares the PV power generated at Thiagarajar College of Engineering (TCE), Madurai, using four prediction techniques: Artificial Neural Networks (ANN), Random Forest (RF), K-Nearest Neighbours (KNN), and Support Vector Machine (SVM) along with a proposed RFARM for different meteorological weather conditions over a 24-hour time horizon. The proposed RFARM method achieves high prediction accuracy by selecting significant parameters, avoiding artificial filtering, and minimizing errors, particularly in predicting solar output during cloud shading. The RFARM model outperforms conventional methods in predicting the daily curve of solar power performance. It achieves an RMSE of 1.52, MAE of 14, and R-squared of 98%. Feature selection further improves accuracy, reducing RMSE by 12.5% and MAE by 17.2% respectively.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"5 1","pages":"737 - 753"},"PeriodicalIF":1.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75628757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combination of electromagnetic field and harris hawks optimization algorithms with optimization to optimization structure and its application for optimum power flow 结合电磁场和哈里斯霍克优化算法的优化结构及其在最优潮流中的应用
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-08-01 DOI: 10.1080/02533839.2023.2238759
Mehmet Akpamukcu, Abdullah Ateş, Ozan Akdağ
ABSTRACT Electromagnetic Field Optimization (EFO) and Harris Hawk Optimization (HHO) algorithms are combined with the optimization to optimization (OtoO) approach, and the EFO-HHO algorithm pair is presented in this study. EFO method was used as the essential algorithm and HHO method was used as the auxiliary algorithm according to the OtoO structure. The constant parameters (R_rate, Ps_rate, P_field, N_field) of the EFO algorithm that affect the optimization performance are optimized with the HHO optimization algorithm for the related optimization problem. The proposed method was tested on 10 different benchmark functions according to different dimensional (30, 50100). The EFO-HHO algorithm pair can produce better results than the existing literature, especially in cases of increased dimension with the proposed approach. In addition to these, the OPF problem was tested on the IEEE 30 test bus system for the engineering application of the proposed method. The results are compared with the existing literature results. As it can be seen from the results, it has been shown on the real engineering problem that the optimization performance can be increased with the OtoO approach without changing the basic philosophy of the EFO algorithm.
摘要将电磁场优化(EFO)和Harris Hawk优化(HHO)算法与优化到优化(OtoO)方法相结合,提出了EFO-HHO算法对。根据OtoO结构,采用EFO法作为主要算法,HHO法作为辅助算法。针对相关优化问题,采用HHO优化算法对EFO算法中影响优化性能的常数参数(R_rate、Ps_rate、P_field、N_field)进行优化。根据不同的维数(30,50100)在10个不同的基准函数上进行了测试。EFO-HHO算法对可以产生比现有文献更好的结果,特别是在增加维数的情况下。此外,在IEEE 30测试总线系统上对OPF问题进行了测试,以验证所提方法的工程应用。所得结果与已有文献结果进行了比较。从结果可以看出,实际工程问题表明,在不改变EFO算法基本原理的情况下,使用OtoO方法可以提高优化性能。
{"title":"Combination of electromagnetic field and harris hawks optimization algorithms with optimization to optimization structure and its application for optimum power flow","authors":"Mehmet Akpamukcu, Abdullah Ateş, Ozan Akdağ","doi":"10.1080/02533839.2023.2238759","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238759","url":null,"abstract":"ABSTRACT Electromagnetic Field Optimization (EFO) and Harris Hawk Optimization (HHO) algorithms are combined with the optimization to optimization (OtoO) approach, and the EFO-HHO algorithm pair is presented in this study. EFO method was used as the essential algorithm and HHO method was used as the auxiliary algorithm according to the OtoO structure. The constant parameters (R_rate, Ps_rate, P_field, N_field) of the EFO algorithm that affect the optimization performance are optimized with the HHO optimization algorithm for the related optimization problem. The proposed method was tested on 10 different benchmark functions according to different dimensional (30, 50100). The EFO-HHO algorithm pair can produce better results than the existing literature, especially in cases of increased dimension with the proposed approach. In addition to these, the OPF problem was tested on the IEEE 30 test bus system for the engineering application of the proposed method. The results are compared with the existing literature results. As it can be seen from the results, it has been shown on the real engineering problem that the optimization performance can be increased with the OtoO approach without changing the basic philosophy of the EFO algorithm.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"2667 1","pages":"754 - 765"},"PeriodicalIF":1.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88219314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The advanced wireless sensor networks’ routing protocol to detect malicious nodes and behavior 先进的无线传感器网络路由协议检测恶意节点和行为
IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-07-30 DOI: 10.1080/02533839.2023.2238786
A. Arab
ABSTRACT This paper analyzes the trust problem in computer wireless sensor networks, WSNs. This study presents a reliable routing method in WSNs. Trust is an essential question although endeavors to prevent attacks on the networks have been made, the problem has not been satisfactorily resolved. The novelties of this paper are its improvement of the FETRP protocol in WSNs while considering recent advancements in related technologies like the Internet of Things (IoT) and its applicability in micro and macro-scale systems. Some malicious nodes deceive systems with incompatible behaviors, but this protocol detects them. This paper introduces fuzzy energy and a reliable routing protocol, FETRP, to solve problems. The protocol is upon fuzzy cluster development and has been designed to manage reliable routing of information transmission.
本文分析了计算机无线传感器网络(WSNs)中的信任问题。本研究提出了一种可靠的无线传感器网络路由方法。信任是一个重要的问题,尽管人们已经努力防止对网络的攻击,但这个问题并没有得到令人满意的解决。本文的创新之处在于对无线传感器网络中的FETRP协议进行了改进,同时考虑了物联网(IoT)等相关技术的最新进展及其在微观和宏观系统中的适用性。一些恶意节点以不兼容的行为欺骗系统,但该协议可以检测到它们。本文引入模糊能量和可靠路由协议FETRP来解决这一问题。该协议基于模糊集群开发,旨在实现信息传输的可靠路由管理。
{"title":"The advanced wireless sensor networks’ routing protocol to detect malicious nodes and behavior","authors":"A. Arab","doi":"10.1080/02533839.2023.2238786","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238786","url":null,"abstract":"ABSTRACT This paper analyzes the trust problem in computer wireless sensor networks, WSNs. This study presents a reliable routing method in WSNs. Trust is an essential question although endeavors to prevent attacks on the networks have been made, the problem has not been satisfactorily resolved. The novelties of this paper are its improvement of the FETRP protocol in WSNs while considering recent advancements in related technologies like the Internet of Things (IoT) and its applicability in micro and macro-scale systems. Some malicious nodes deceive systems with incompatible behaviors, but this protocol detects them. This paper introduces fuzzy energy and a reliable routing protocol, FETRP, to solve problems. The protocol is upon fuzzy cluster development and has been designed to manage reliable routing of information transmission.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"28 1","pages":"805 - 812"},"PeriodicalIF":1.1,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76217950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of the Chinese Institute of Engineers
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1