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AGV Scheduling Optimization of Automated Port Based on Disruption Management

Journal of Transportation Technologies 2024年第3期14卷 423-444页

作者： Ching-Kuei kao Qi-Er Ke King-Zoo Tang Peng-Jung Lin Key Laboratory of LNG Industry Chain Fujian University of Technology Fuzhou China Department of Logistics Management Fujian University of Technology Fuzhou China Department of Information Management Taiwan Chung Cheng University Chiayi Metaverse and New Media College Yango University Fuzhou China

The recent rapid development of China’s foreign trade has led to the significant increase in waterway transportation and automated container ports. Automated terminals can significantly improve the loading and unloading efficiency of container terminals. These terminals can also increase the port’s transportation volume while ensuring the quality of cargo loading and unloading, which has become an inevitable trend in the future development of ports. However, the continuous growth of the port’s transportation volume has increased the horizontal transportation pressure on the automated terminal, and the problems of route conflicts and road locks faced by automated guided vehicles (AGV) have become increasingly prominent. Accordingly, this work takes Xiamen Yuanhai automated container terminal as an example. This work focuses on analyzing the interference problem of path conflict in its horizontal transportation AGV scheduling. Results show that path conflict, the most prominent interference factor, will cause AGV scheduling to be unable to execute the original plan. Consequently, the disruption management was used to establish a disturbance recovery model, and the Dijkstra algorithm for combining with time windows is adopted to plan a conflict-free path. Based on the comparison with the rescheduling method, the research obtains that the deviation of the transportation path and the deviation degree of the transportation path under the disruption management method are much lower than those of the rescheduling method. The transportation path deviation degree of the disruption management method is only 5.56%. Meanwhile, the deviation degree of the transportation path under the rescheduling method is 44.44%.

关键词： Automated Port Disruption Management Automated Guided Vehicle Scheduling Dijkstra Algorithm

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An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study

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中华医学杂志(英文版) 2024年第17期137卷 2084-2091页

作者： Liu Liyuan He Yong kao Chunyu Fan Yeye Yang Fu Wang Fei Yu Lixiang Zhou Fei Xiang Yujuan Huang Shuya Zheng Chao Cai Han Bao Heling Fang Liwen Wang Linhong Chen Zengjing Yu Zhigang Department of Breast Surgery The Second Hospital Cheeloo College of Medicine Shandong University Jinan Shandong China School of Mathematics Shandong University Jinan Shandong China Zhongtai Securities Institute for Financial Studies Shandong University Jinan Shandong China Institute of Translational Medicine of Breast Disease Prevention and Treatment Shandong University Jinan Shandong China Department of Maternal and Child Health School of Public Health Peking University Haidian District Beijing China National Center for Chronic and Non-communicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China

Background: Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk ***: The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to ***: The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification ***: We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

关键词： Breast cancer Cancer prevention Models Women Risk assessment

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Strong ground movement induced by mining activities and its effect on power transmission structures

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Mining Science and Technology 2009年第5期19卷 563-568页

作者： DAI kao-shan CHen Shen-en Department of Civil and environmental engineering University of North Carolina at Charlotte Charlotte NC 28223 USA

Surface mining activities may introduce damages to nearby infrastructure. Concerns are put forward by the power company about structural integrity of electric power transmission structures in areas where coal mining activities cause strong ground vibrations. Common practice in the power industry is to limit ground motion by specifying maximum Peak Particle Velocity. So far, there is a lack of industry-wide recognized guidelines on how ground vibration limits should be set for the transmission structures. In order to develop a defense strategy to protect power transmission lines against strong ground motions in mining areas, a systematic research work was conducted to establish strong ground vibration characteristics and to study impacts of ground excitations on transmission pole structures. Ground movements were recorded using geophones and wireless tri-axial sensing units. The process of generating ground motion response spectra via analyzing actual ground motion measurements is described in the paper. These spectra developed based on peak particle velocities were used as a basis for spectral analysis performed using validated Finite Element models to obtain structural displacements, reactions and stress states of the transmission pole structures in the mining sites. A quantitative ground motion limit was established by comparing structural responses with the corresponding design requirements.

关键词： transmission structure ground motion structural response

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Voice Response Questionnaire System for Speaker Recognition Using Biometric Authentication Interface

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Intelligent Automation & Soft Computing 2023年第1期35卷 913-924页

作者： Chang-Yi kao Hao-en Chueh Soochow University Taipei City100TaiwanChina Chung Yuan Christian University Taoyuan City32023TaiwanChina

The use of voice to perform biometric authentication is an importanttechnological development,because it is a non-invasive identification methodand does not require special hardware,so it is less likely to arouse user *** study tries to apply the voice recognition technology to the speech-driveninteractive voice response questionnaire system aiming to upgrade the traditionalspeech system to an intelligent voice response questionnaire network so that thenew device may offer enterprises more precise data for customer relationshipmanagement(CRM).The intelligence-type voice response gadget is becominga new mobile channel at the current time,with functions of the questionnaireto be built in for the convenience of collecting information on local preferencesthat can be used for localized promotion and *** of this study propose a framework using voice recognition and intelligent analysis models to identify target customers through voice messages gathered in the voice response questionnaire system;that is,transforming the traditional speech system to anintelligent voice *** speaker recognition system discussed hereemploys volume as the acoustic feature in endpoint detection as the computationload is usually low in this *** correct two types of errors found in the endpoint detection practice because of ambient noise,this study suggests ways toimprove the ***,to reach high accuracy,this study follows a dynamictime warping(DTW)based method to gain speaker ***,it isdevoted to avoiding any errors in endpoint detection by filtering noise from voicesignals before getting recognition and deleting any test utterances that might negatively affect the results of *** is hoped that by so doing the recognitionrate is *** to the experimental results,the method proposed inthis research has a high recognition rate,whether it is on personal-level or industrial-level computers,and can reach the pract

关键词： Biometric authentication customer relationship management speaker recognition questionnaire

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有压差下全接触刷式密封迟滞特性数值研究

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兵器装备工程学报 2024年第1期45卷 180-187,222页

作者：刘美红汤俊锋康宇驰许嘉辉李川 Sharon kao-Walter 昆明理工大学机电工程学院昆明650000 布莱金厄理工学院数学和自然科学系瑞典卡尔斯克鲁纳SE-37179

刷式密封迟滞特性引起的泄漏问题、摩擦磨损问题及流动换热问题较为突出。刷式密封迟滞特性数值模型呈现接触对多、刷丝大变形的特点,存在非线性程度较高、收敛性较差的问题。提出了基于有限元软件ABAQUS的刷式密封迟滞特性求解模型,考... 详细信息

刷式密封迟滞特性引起的泄漏问题、摩擦磨损问题及流动换热问题较为突出。刷式密封迟滞特性数值模型呈现接触对多、刷丝大变形的特点,存在非线性程度较高、收敛性较差的问题。提出了基于有限元软件ABAQUS的刷式密封迟滞特性求解模型,考虑刷丝之间接触、刷丝与背板接触、刷丝与转子之间接触,引入阻尼提高模型收敛性。在数值计算与实验结果、理论计算对比验证的基础上,研究了刷丝自由端长度、刷丝直径、刷丝倾斜角度以及上下游压差对迟滞特性和接触力最大值的影响程度。研究结果表明:随着上下游压差、直径的增大,刷式密封迟滞特性呈现增加的趋势,而刷丝倾角的增加导致迟滞特性呈现递减的趋势,刷丝自由端长度的改变对迟滞特性的影响较小;刷丝直径是影响刷丝与转子之间接触力最大值的主要因素,刷丝倾斜角度对接触力最大值有一定程度影响。上述研究为分析刷式密封迟滞特性提供了理论依据,为降低迟滞特性提供了参考。

关键词：刷式密封迟滞特性几何参数迟滞能接触力

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村庄规划对偏远山区乡村发展的促进作用--以内蒙古和林格尔县白其口村为例

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地理科学 2024年第7期44卷 1249-1256页

作者：许贺棋郝润梅王考内蒙古师范大学地理科学学院内蒙古呼和浩特010022

运用归纳总结法和SWOT分析法提出乡村振兴背景下村庄规划的主要发展内容,聚焦于村庄规划与偏远山区村庄发展的关系,提出经济、生态、文化、旅游等多维度的促进乡村发展的目标框架,探索规划对村庄的促进作用。结果表明,①偏远山区具有距... 详细信息

运用归纳总结法和SWOT分析法提出乡村振兴背景下村庄规划的主要发展内容,聚焦于村庄规划与偏远山区村庄发展的关系,提出经济、生态、文化、旅游等多维度的促进乡村发展的目标框架,探索规划对村庄的促进作用。结果表明,①偏远山区具有距离城市远、地形复杂、经济发展水平不高、人居环境亟待改善的特点;②偏远山区村庄规划,在提升产业发展水平、增加农民收入、重塑村庄治理结构、提高人居环境质量、改善地区生态等方面作用显著,对促进村庄发展至关重要。③针对“集聚提升类”村庄,结合白其口村自然环境特征和发展现状,规划整治村庄内部分区和发展格局,精准推动村庄发展,以期更好地促进偏远山区美丽乡村建设。

关键词：村庄规划乡村发展内蒙古地区偏远山区

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卷积神经网络在结直肠息肉辅助诊断中的应用综述

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计算机科学与探索 2024年第3期18卷 627-645页

作者：考文涛李明马金刚山东中医药大学智能与信息工程学院济南250355

结直肠癌是一种恶性肿瘤,主要发生在结肠和直肠的组织中,其早期发现和治疗具有重要意义。结直肠癌的早期检测和预防主要是对病人的肠道进行视觉检查,从而筛查结直肠息肉,但人工检查存在漏诊率高等弊端。基于卷积神经网络(CNN)的辅助诊... 详细信息

结直肠癌是一种恶性肿瘤,主要发生在结肠和直肠的组织中,其早期发现和治疗具有重要意义。结直肠癌的早期检测和预防主要是对病人的肠道进行视觉检查,从而筛查结直肠息肉,但人工检查存在漏诊率高等弊端。基于卷积神经网络(CNN)的辅助诊断系统在结直肠息肉的诊断方面表现出最先进的性能,是目前计算机辅助诊断领域的研究热点。根据近几年发表的相关重要文献,对卷积神经网络在结直肠息肉辅助诊断中的应用进行系统综述。首先介绍了结直肠息肉诊断领域的常用数据集,其中包括图片和视频数据集;其次分别对CNN在结直肠息肉检测、分割以及分类中的应用进行系统阐述,对各算法的主要改进思路、优缺点以及性能进行深入分析,旨在为研究人员提供更系统的参考,并对深度学习模型的可解释性进行总结;最后对基于CNN的结直肠息肉辅助诊断的各类算法进行总结,并对未来的研究方向进行展望。

关键词：结直肠息肉卷积神经网络(CNN) 计算机辅助诊断可解释性

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制度型开放与企业内薪酬差距——基于市场准入负面清单试点的准自然实验

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国际贸易问题 2024年第3期 105-122页

作者：考秀梅谢申祥南开大学经济学院山东财经大学经济学院山东财经大学山东省习近平新时代中国特色社会主义思想研究中心

开放对收入的影响一直是国际贸易研究所关注的重要议题,因此,剖析制度型开放对企业内薪酬差距的影响,无疑具有重要的意义。本文以市场准入负面清单制度实行为切入点,采用双重差分法,分析了制度型开放对企业内员工薪酬差距的影响。研究表... 详细信息

开放对收入的影响一直是国际贸易研究所关注的重要议题,因此,剖析制度型开放对企业内薪酬差距的影响,无疑具有重要的意义。本文以市场准入负面清单制度实行为切入点,采用双重差分法,分析了制度型开放对企业内员工薪酬差距的影响。研究表明:实行负面清单制度加剧了企业内员工薪酬差距,这主要表现为管理层员工平均薪酬增长,而普通员工薪酬保持不变;其影响机理为,制度型开放导致市场竞争加剧,进入企业对劳动力需求的上升以及管理层员工与普通员工间人力资本专用性的差异强化了企业对管理层员工的需求,管理层提薪必要性的提升加剧了企业内薪酬差距,而企业内管理层薪酬“同群效应”的存在则进一步扩大了企业内薪酬差距。进一步分析表明,制度型开放显著加剧了资本技术密集型行业内企业以及内控质量较高企业内的薪酬差距,且管理层薪酬上涨主要表现为超额薪酬上涨,而国有企业更为严格的薪酬约束体系可有效缓冲外部市场环境变动引致的薪酬差距增长冲击。

关键词：制度型开放薪酬差距企业进入薪酬“同群效应”

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SOINN-Based Abnormal Trajectory Detection for Efficient Video Condensation

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Computer Systems Science & engineering 2022年第8期42卷 451-463页

作者： Chin-Shyurng Fahn Chang-Yi kao Meng-Luen Wu Hao-en Chueh National Taiwan University of Science and Technology Taipei City106335Taiwan Soochow University Taipei City100Taiwan Tamkang University New Taipei City251301Taiwan Chung Yuan Christian University Taoyuan City32023Taiwan

With the evolution of video surveillance systems,the requirement of video storage grows rapidly;in addition,safe guards and forensic officers spend a great deal of time observing surveillance videos to find abnormal *** most of the scene in the surveillance video are redundant and contains no information needs attention,we propose a video condensation method to summarize the abnormal events in the video by rearranging the moving trajectory and sort them by the degree of *** goal is to improve the condensation rate to reduce more storage size,and increase the accuracy in abnormal *** the trajectory feature is the key to both goals,in this paper,a new method for feature extraction of moving object trajectory is proposed,and we use the SOINN(Self-Organizing Incremental Neural Network)method to accomplish a high accuracy abnormal *** the results,our method is able to shirk the video size to 10%storage size of the original video,and achieves 95%accuracy of abnormal event detection,which shows our method is useful and applicable to the surveillance industry.

关键词： Surveillance systems video condensation SOINN moving trajectory abnormal detection

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“双减”背景下初中物理家庭小实验的应用策略研究

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当代教研论丛 2024年第1期10卷 80-84页

作者：张考毕节市第一中学贵州毕节551700

开发和应用家庭小实验,使学生利用课余时间通过实验的方式进行必要的课业学习,不仅能将“双减”落实在初中物理教学中,更有利于学生发展科学思维,是培养学生物理核心素养的重要举措。文章以人教版初中物理教材为研究资料,立足“双减”背... 详细信息

开发和应用家庭小实验,使学生利用课余时间通过实验的方式进行必要的课业学习,不仅能将“双减”落实在初中物理教学中,更有利于学生发展科学思维,是培养学生物理核心素养的重要举措。文章以人教版初中物理教材为研究资料,立足“双减”背景,阐释物理家庭小实验特点及其在初中阶段的应用策略,强调教师要提高教学能力,做好初中物理家庭小实验的开发与应用。

关键词：初中物理家庭小实验 “双减”

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