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intelligence

英语学习 1996年第10期 77-80页

作者：金利民

*** the passage below and fill in the blanks in the sentencesthat follow with words from the *** makes one person more intelligent than another?Whatmakes one person a genius,like the brilliant Albert Einstein,and anot... 详细信息

关键词： intelligence

intelligence in Clothing Pattern CAD System

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Journal of Donghua University(English Edition) 2007年第6期24卷 787-790页

作者：李旭张祖芳 Fashion Institute Zhejiang Sci-Tech University Fashion InstituteDonghua UniversityHangzhou 310018ChinaShanghai 200051China

It analyzes three recognition methods for five elements,***,line,loop,clothing pattern as well as characters,and also applies intelligent points and tangential curve in the CAD system to solve the problem complained by CAD *** indicates that recognition of five elements is a foundational technique of intelligence in clothing pattern CAD *** functions in operation state such as move,rotation,flip,measure,should precede ones in element state as dot,line,and ***,it is realized that the less skill the CAD user needs,the more the CAD software is high-tech.

关键词： clothing CAD intelligence recognition operation state element state

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Multiplexed DNA-functionalized graphene sensor with artificial intelligence-based discrimination performance for analyzing chemical vapor compositions

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Microsystems & Nanoengineering 2023年第2期9卷 113-125页

作者： Yun Ji Hwang Heejin Yu Gilho Lee Iman Shackery Jin Seong Youngmo Jung Seung-Hyun Sung Jongeun Choi Seong Chan Jun School of Mechanical Engineering Yonsei University500Yonsei-roSeodaemun-guSeoul 03722Republic of Korea

This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionalized graphene(MDFG)nanoelectrode without the need to condense the original vapor or target *** the best of our knowledge,our artificial intelligence(Al)-operated arrayed electrodes were capable of identifying the compositions of mixed chemical gases with a mixed ratio in the early *** innovative technology comprised an optimized combination of nanodeposited arrayed electrodes and artificial intelligence techniques with advanced sensing capabilities that could operate within biological limits,resulting in the verification of mixed vapor chemical *** selective sensors that are tolerant to high humidity levels provide a target for"breath chemovapor fingerprinting"for the early diagnosis of *** feature selection analysis achieved recognition rates of 99%and above under low-humidity conditions and 98%and above under humid conditions for mixed chemical *** 1D convolutional neural network analysis performed better,discriminating the compositional state of chemical vapor under low-and high-humidity conditions almost *** study provides a basis for the use of a multiplexed DNA-functionalized graphene gas sensor array and artificial intelligence-based discrimination of chemical vapor compositions in breath analysis applications.

关键词： humidity functional intelligence

Determination of shear strength of steel fiber RC beams:application of data-intelligence models

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Frontiers of Structural and Civil Engineering 2019年第3期13卷 667-673页

作者： Abeer A.AL-MUSAWI Projects and Reconstruction Department University of BaghdadBaghdadIraq

Accurate prediction of shear strength of structural engineering components can yield a magnificent information modeling and predesign *** paper aims to determine the shear strength of steel fiber reinforced concrete beams using the application of data-intelligence models namely hybrid artificial neural network integrated with particle swarm *** the considered data-intelligence models,the input matrix attribute is one of the central element in attaining accurate predictive ***,various input attributes are constructed to model the shear strength"as a targeted variable".The modeling is initiated using historical published researches steel fiber reinforced concrete beams *** variables are used as input attribute combination including reinforcement ratio(ρ%),concrete compressive strength(f′c),fiber factor(F1),volume percentage of fiber(Vf),fiber length to diameter ratio(lf/ld)effective depth(d),and shear span-to-strength ratio(a/d),while the shear strength(SS)is the output of the *** best network structure obtained using the network having ten nodes and one hidden *** final results obtained indicated that the hybrid predictive model of ANN-PSO can be used efficiently in the prediction of the shear strength of fiber reinforced concrete *** more representable details,the hybrid model attained the values of root mean square error and correlation coefficient 0.567 and 0.82,respectively.

关键词： hybrid intelligence model shear strength prediction steel fiber reinforced concrete

When Does Sora Show:The Beginning of TAO to Imaginative intelligence and Scenarios Engineering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 809-815页

作者： Fei-Yue Wang Qinghai Miao Lingxi Li Qinghua Ni Xuan Li Juanjuan Li Lili Fan Yonglin Tian Qing-Long Han School of Artificial intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Department of Electrical and Computer Engineering Indiana University-Purdue University IndianapolisIndianapolisIN 46202USA Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China State Key Laboratory of Multimodal Artificial intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic intelligence to Linguistic intelligence”[1],we had expected the next milestone for Artificial intelligence(AI)would be in the direction of Imaginative intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

关键词： something intelligence replace

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Three-Dimensional Modeling of Maize Canopies Based on Computational intelligence

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Plant Phenomics 2024年第2期6卷 349-363页

作者： Yandong Wu Weiliang Wen Shenghao Gu Guanmin Huang Chuanyu Wang Xianju Lu Pengliang Xiao Xinyu Guo Linsheng Huang National Engineering Research Center for Agro-Ecological Big Data Analysis&Application Anhui UniversityHefei 230601China Information Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China Beijing Key Lab of Digital Plant National Engineering Research Center for Information Technology in AgricultureBeijing 100097China Nongxin Science&Technology(Beijing)Co. LtdBeijing 100097China

The 3-dimensional(3D)modeling of crop canopies is fundamental for studying functional-structural plant *** studies often fail to capture the structural characteristics of crop canopies,such as organ overlapping and resource *** address this issue,we propose a 3D maize modeling method based on computational *** initial 3D maize canopy is created using the t-distribution method to reflect characteristics of the plant architecture.

关键词： intelligence modeling based canopies computational dimensional maize three

A Review on Swarm intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems

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IEEE/CAA Journal of Automatica Sinica 2019年第4期6卷 904-916页

作者： Kaizhou Gao Zhiguang Cao Le Zhang Zhenghua Chen Yuyan Han Quanke Pan IEEE the Macao Institute of Systems Engineering at Macao University of Science and Technology 999078 China School of Computer at Liaocheng Univeristy Liaocheng252059China the Department of Industrial Systems Engineering and Management National University of SingaporeSingapore Centre for Maritime Studies National University of SingaporeSingapore the Institute for Infocomm Research(I2R) the Agency for ScienceTechnology and Research(A*STAR)Singapore the School of Computer at Liaocheng Univeristy Liaocheng 252059China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072China

Flexible job shop scheduling problems(FJSP)have received much attention from academia and industry for many *** to their exponential complexity,swarm intelligence(SI)and evolutionary algorithms(EA)are developed,employed and improved for solving *** than 60%of the publications are related to SI and *** paper intents to give a comprehensive literature review of SI and EA for solving ***,the mathematical model of FJSP is presented and the constraints in applications are ***,the encoding and decoding strategies for connecting the problem and algorithms are *** strategies for initializing algorithms?population and local search operators for improving convergence performance are ***,one classical hybrid genetic algorithm(GA)and one newest imperialist competitive algorithm(ICA)with variables neighborhood search(VNS)for solving FJSP are ***,we summarize,discus and analyze the status of SI and EA for solving FJSP and give insight into future research directions.

关键词： Evolutionary algorithm flexible job shop scheduling review swarm intelligence

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Physical artificial intelligence(PAI):the next-generation artificial intelligence

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Frontiers of Information Technology & Electronic Engineering 2023年第8期24卷 1231-1238页

作者： Yingbo LI Zhao LI Yucong DUAN Anamaria-Beatrice SPULBER School of Computer Science and Technology Hainan UniversityHaikou570228China Zhejiang Lab Hangzhou311121China

Artificial intelligence(AI)has been a driving force for innovation and social progress in various domains(Pan,2017).However,most of its industrial applications have focused on the signal processing domain,which relies... 详细信息

关键词： artificial domains intelligence

CucumberAI:Cucumber Fruit Morphology Identification System Based on Artificial intelligence

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Plant Phenomics 2024年第3期6卷 755-770页

作者： Wei Xue Haifeng Ding Tao Jin Jialing Meng Shiyou Wang Zuo Liu Xiupeng Ma Ji Li College of Artificial intelligence Nanjing Agricultural UniversityNanjing 210095China State Key Laboratory of Crop Genetics and Germplasm Enhancement College of HorticultureNanjing Agricultural UniversityNo.1 WeigangNanjing 210095China College of Foreign Studies Nanjing Agricultural UniversityNanjing 210095China

Cucumber is an important vegetable crop that has high nutritional and economic value and is thus favored by consumers *** an accurate and fast technique for measuring the morphological traits of cucumber fruit could be helpful for improving its breeding efficiency and further refining the development models for pepo *** present,several sets of measurement schemes and standards have been proposed and applied for the characterization of cucumber fruits;however,these manual methods are time-consuming and ***,in this paper,we propose a cucumber fruit morphological trait identification framework and software called CucumberAI,which combines image processing techniques with deep learning models to efficiently identify up to 51 cucumber features,including 32 newly defined *** proposed tool introduces an algorithm for performing cucumber contour extraction and fruit segmentation based on image processing *** identification framework comprises 6 deep learning models that combine fruit feature recognition rules with MobileNetV2 to construct a decision tree for fruit shape ***,the framework employs U-Net segmentation models for fruit stripe and endocarp segmentation,a MobileNetV2 model for carpel classification,a ResNet50 model for stripe classification and a YOLOv5 model for tumor *** relationships between the image-based manual and algorithmic traits are highly correlated,and validation tests were conducted to perform correlation analyses of fruit surface smoothness and roughness,and a fruit appearance cluster analysis was also *** brief,CucumberAI offers an efficient approach for extracting and analyzing cucumber phenotypes and provides valuable information for future cucumber genetic improvements.

关键词： intelligence identification system artificial based cucumberai fruit morphology