LEADER 00905nam0-22003131i-450- 001 990007070170403321 005 20050921120534.0 035 $a000707017 035 $aFED01000707017 035 $a(Aleph)000707017FED01 035 $a000707017 100 $a20020409d1967----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $ay-------001yy 200 1 $a<>Armée et le soldat a Rome de 107 à 50 avant notre ère$fJacques Harmand 210 $aParis$cÉd. J. Picard$d1967 215 $a538 p.$d24 cm 676 $a930$v20$zita 700 1$aHarmand,$bJacques$0187094 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007070170403321 952 $aXXI A 631$b85603$fFGBC 952 $aDDR-XXIII Bb 005$b2299 ddr$fDDR$m21-8014 959 $aDDR 959 $aFGBC 996 $aArmée et le soldat a Rome de 107 à 50 avant notre ère$9705709 997 $aUNINA LEADER 11142nam 22005053 450 001 9910508457803321 005 20211117142104.0 010 $a9789811665547$b(electronic bk.) 010 $z9789811665530 035 $a(MiAaPQ)EBC6803483 035 $a(Au-PeEL)EBL6803483 035 $a(CKB)19410490300041 035 $a(OCoLC)1286426990 035 $a(EXLCZ)9919410490300041 100 $a20211117d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the 11th International Conference on Computer Engineering and Networks 210 1$aSingapore :$cSpringer Singapore Pte. Limited,$d2021. 210 4$d©2022. 215 $a1 online resource (1699 pages) 225 1 $aLecture Notes in Electrical Engineering Ser. ;$vv.808 311 08$aPrint version: Liu, Qi Proceedings of the 11th International Conference on Computer Engineering and Networks Singapore : Springer Singapore Pte. Limited,c2021 9789811665530 327 $aIntro -- Preface -- Contents -- IOTS Internet of Things and Smart Systems -- A Double Incentive Trading Mechanism for IoT and Blockchain Based Electricity Trading in Local Energy Market -- 1 Introduction -- 2 Blockchain-Based Local Energy Market -- 3 Methodology -- 3.1 System Architecture -- 3.2 Transaction Mechanism -- 4 Case Study -- 5 Conclusion -- References -- A Survey on Task Offloading in Edge Computing for Smart Grid -- 1 Introduction -- 2 Edge Computing -- 2.1 Definition of Edge Computing -- 2.2 Architecture of Edge Computing -- 3 Task Offloading in Edge Computing -- 3.1 The Classification of Task Offloading -- 3.2 Task Unloading Process -- 3.3 Task Offloading Scenario -- 4 Challenges and Future Works -- 5 Conclusion -- References -- Data Fusion of Power IoT Based on GOWA Operator and D-S Evidence Theory -- 1 Introduction -- 2 Related Works -- 3 DFMD -- 4 Simulation -- 4.1 Datasets -- 4.2 Simulation Results -- 5 Conclusion -- References -- Edge Task Offloading Method for Power Internet of Things Based on Multi-round Combined Auction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Algorithm Design Based on Auction Model -- 4.1 Tender Submission Stage -- 4.2 Resource Block Pre-allocation Phase -- 4.3 Winner Determination Stage -- 5 Experimental Evaluation -- 6 Conclusion -- References -- VEC-MOTAG: Vehicular Edge Computing Based Moving Target Defense System -- 1 Introduction -- 2 Related Work -- 3 Threat Model and System Overview -- 4 System Design: Vehicular Edge Computing Based MOTAG System -- 4.1 Accessibility Constraint -- 4.2 QoS Constraints -- 4.3 Capacity Constraints -- 5 Evaluation -- 6 Conclusion -- References -- AIA Artificial Intelligence and Applications -- Short-Term Wind Power Forecasting Based on the Deep Learning Approach Optimized by the Improved T-distributed Stochastic Neighbor Embedding. 327 $a1 Introduction -- 2 Proposed Approaches -- 2.1 Wind Power Forecasting Model Architecture Design -- 2.2 Data Preprocessing of the Wind Power Time Series -- 2.3 Metrics Design for Wind Power Forecasting -- 3 Experiments -- 4 Conclusions -- References -- Adaptive Image Steganographic Analysis System Based on Deep Convolutional Neural Network -- 1 Introduction -- 2 Adaptive Image Steganography Analysis Method -- 2.1 Deep Convolutional Neural Network Structure -- 2.2 Steganalysis Method -- 3 Model Training -- 3.1 Experimental Data and Platform -- 3.2 Experimental Results and Analysis -- 4 System Design -- 4.1 System Framework Design -- 4.2 System Function -- 5 Conclusion -- References -- An Efficient Channel Attention CNN for Facial Expression Recognition -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Face Detection and Correction -- 3.2 Improved Network Framework Based on DenseNet -- 3.3 Loss Function -- 4 Experiment -- 4.1 Experimental Platform -- 4.2 Experimental Results -- 5 Conclusion -- References -- Handwritten Digit Recognition Application Based on Fully Connected Neural Network -- 1 Introduction -- 2 Key Technologies of Fully Connected Neural Network in Handwritten Digit Recognition -- 2.1 Activation Function -- 2.2 Sigmoid Function -- 2.3 Relu Function -- 2.4 Loss Function -- 2.5 The Core Code of the Fully Connected Neural Network in the Application of Handwritten Digit Recognition -- 3 MNIST Data Set -- 3.1 Analysis of Results -- References -- Detection System of Truck Blind Area Based on YOLOv3 -- 1 The Introduction -- 2 YOLOv3 -- 2.1 Introduction to YOLOV3 Algorithm -- 2.2 YOLO3 Network Structure -- 3 System is Introduced -- 3.1 System Architecture Diagram -- 3.2 The System Design -- 4 The System Test -- 4.1 The Test Environment -- 4.2 Test Indicators -- 4.3 The Experimental Process -- 5 Conclusion -- References. 327 $aDriver Fatigue Detection Algorithm Based on SMO Algorithm -- 1 Introduction -- 2 Fatigue State Recognition Based on Machine Vision -- 2.1 Face Feature Location -- 2.2 Extraction of Eye Feature Parameters Based on SMO Selection Strategy -- 2.3 Training Test Based on the Opening and Closing Degree of Human Eyes -- 3 Simulation Experiment -- 4 Conclusion -- References -- Image Mosaic Technology Based on Harris Corner Feature -- 1 Introduction -- 2 Theory and Technology -- 2.1 Image Registration -- 2.2 Harris Image Feature Extraction -- 2.3 Calculation of Homography Matrix -- 3 Image Mosaic Process -- 3.1 Feature Point Capture -- 3.2 Adaptive Non-maximum Suppression -- 3.3 Description of Key Points -- 3.4 Matching of Key Points -- 3.5 The Composition of New Images -- 4 Experiment -- 4.1 Image Mosaic of Existing Data Sets -- 4.2 Actual Shot Image -- 5 Concludes -- References -- Image Semantic Segmentation Based on Joint Normalization -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Network Structure -- 3.2 Normalization Method -- 4 Experiment -- 4.1 Dataset -- 4.2 Analysis -- 5 Conclusion -- References -- DeepINN: Identifying Influential Nodes Based on Deep Learning Method -- 1 Introduction -- 2 Related Work -- 2.1 Node Identification Method Based on Node Ranking Method -- 2.2 Network Embedding Method -- 3 DeepINN -- 3.1 Node Similarity Based on Network Embedding -- 3.2 Node Sampling Algorithm Based on Community Structure -- 3.3 Node Screening Strategy Based on Influential Communities -- 4 Experimental Results -- 4.1 Data Preparation -- 4.2 Parameter Settings of the Network Embedding Methods -- 4.3 Results -- 5 Conclusion -- References -- Lightweight Semantic Segmentation Convolutional Neural Network Based on SKNet -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 The Network Structure -- 3.2 SKNet -- 4 Experiment. 327 $a4.1 Experimental Environment -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Research on Image Detection and Extraction Method Based on Yin and Yang Discrete Points -- 1 Introduction -- 2 Design of the Sampling Method of Yin and Yang Discrete Points -- 2.1 Yin and Yang Discrete Points Sampling -- 2.2 Parameter Tuning of Discrete Point Sampling Method -- 2.3 Analysis of Anti-noise Interference Ability -- 2.4 Constructing Independent Regions of Discrete Graphs -- 3 Research on Shape Detection and Extraction Based on Yin And Yang Discrete Points -- 4 Experimental Results -- 5 Conclusion -- References -- Research on Short-Term Power Load Prediction Based on Deep Learning -- 1 Introduction -- 2 Deep Learning Models -- 3 Prediction Results and Analysis of Power Short-Term Load Models -- 4 Conclusion -- References -- Image Repair Methods Based on Deep Residual Networks -- 1 Related Work -- 2 Body Method -- 2.1 Repair the Module -- 2.2 Mitigation Module -- 2.3 Loss Function -- 3 Analysis of Experimental Results -- 4 Conclusions -- References -- Real-Time Traffic Sign Detection Based on Improved YOLO V3 -- 1 Introduction -- 2 YOLO V3 Target Detection Algorithm -- 3 Data Collection and Data Enhancement -- 3.1 Data Collection -- 3.2 Data Enhancement -- 4 Analysis of Experimental Simulation Results -- 5 Conclusion -- References -- Design of Ground Station for Fire Fighting Robot -- 1 Introduction -- 2 Ground Station Design -- 2.1 Basic Composition of Ground Stations -- 2.2 Operating System Module -- 2.3 Wireless Communication Module -- 2.4 Power Module -- 3 Project Design -- 3.1 Wireless Communication Module Design -- 3.2 Power Module Design -- 3.3 Overall Design Diagram Design -- 4 Conclusion -- References -- Baby Expression Recognition System Design and Implementation Based on Deep Learning -- 1 Introduction -- 2 Related Work. 327 $a2.1 Deep Learning Based on Neural Networks -- 2.2 Expression Detection and Correction -- 2.3 Face Recognition Technology -- 3 System Design -- 3.1 General Interface Design -- 3.2 Objective Comparison -- 3.3 System Module -- 3.4 Software Testing -- 4 Conclusion -- References -- Handwriting Imitation with Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Experiment -- 4.1 Data Set -- 4.2 Experiment Result -- 5 Conclusion -- 6 Expectation -- References -- Epidemic Real-Time Monitor Based on Spark Streaming Real-Time Computing Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 Introduction to Spark -- 2.2 Introduction to Spark Streaming -- 2.3 Comparison of the Advantages and Disadvantages of Spark Streaming and Storm -- 3 Method -- 3.1 Algorithm Introduction -- 3.2 Algorithm Implementation -- 4 Experiments -- 4.1 Test Results -- 5 Conclusion -- References -- Design and Implementation of Fruit and Vegetable Vending Machine Based on Deep Vision -- 1 Introduction -- 2 System Hardware Design -- 3 System Programming -- 3.1 System Control Terminal Design -- 3.2 System Recognition Terminal Program Design -- 4 Overall System Debugging -- 5 Summary and Outlook -- References -- Design and Implementation of License Plate Recognition System Based on Android -- 1 Introduction -- 2 The Overall Algorithm Flow of the System -- 3 Image Preprocessing -- 3.1 Image Grayscale Algorithm Selection -- 3.2 Image Binarization Algorithm Selection -- 3.3 Edge Detection Algorithm Selection -- 3.4 Morphological Processing -- 4 License Plate Positioning -- 5 Character Segmentation Test and Analysis -- 6 Application Design -- 7 Summary and Outlook -- References -- Pseudo-block Diagonally Dominant Matrix Based on Bipartite Non-singular Block Eigenvalues -- 1 Introduction. 327 $a2 Quasi-block Diagonally Dominant Matrix Based on Bipartite Non-singular Block Eigenvalues. 410 0$aLecture Notes in Electrical Engineering Ser. 608 $aElectronic books. 700 $aLiu$b Qi$0653383 701 $aLiu$b Xiaodong$0848987 701 $aChen$b Bo$0689228 701 $aZhang$b Yiming$01051995 701 $aPeng$b Jiansheng$01051996 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910508457803321 996 $aProceedings of the 11th International Conference on Computer Engineering and Networks$92482927 997 $aUNINA LEADER 01092nam 2200361 450 001 9910163004203321 005 20230810001909.0 010 $a3-8426-8757-5 035 $a(CKB)3710000001042366 035 $a(MiAaPQ)EBC4787511 035 $a(EXLCZ)993710000001042366 100 $a20170131h20172017 uy 0 101 0 $ager 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSchilddru?senunterfunktion erfolgreich behandeln $eWege aus dem Stimmungstief So bringen sie Ihr Gewicht wieder in Balance /$fDr. Andrea Flemmer 210 1$aHannover, Germany :$chumboldt,$d2017. 210 4$d©2017 215 $a1 online resource (148 pages) 311 $a3-89993-887-9 606 $aThyroid gland$xDiseases 615 0$aThyroid gland$xDiseases. 676 $a616.44 700 $aFlemmer$b Andrea$01379516 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910163004203321 996 $aSchilddru?senunterfunktion erfolgreich behandeln$93419371 997 $aUNINA LEADER 03231nam 2200625 450 001 9910149173303321 005 20230808200326.0 010 $a0-7748-3165-0 024 7 $a10.59962/9780774831659 035 $a(CKB)3710000000933111 035 $a(MiAaPQ)EBC4732347 035 $a(DE-B1597)661300 035 $a(DE-B1597)9780774831659 035 $a(EXLCZ)993710000000933111 100 $a20161122h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aExhibiting nation $emulticultural nationalism (and its limits) in Canada's museums /$fCaitlin Gordon-Walker 210 1$aVancouver, Canada ;$aToronto, Canada :$cUBC Press,$d2016. 210 4$d©2016 215 $a1 online resource (234 pages) $cillustrations 311 $a0-7748-3163-4 320 $aIncludes bibliographical references and index. 327 $aMulticultural nationalism and the power of metaphor -- Museums, discipline, and dialogue -- The limits of unity in diversity -- The Royal BC Museum's modern history galleries -- The limits of equality and recognition -- The Royal Alberta Museum's cultural communities program -- The limits of universalism and diversity -- The Royal Ontario Museum's world cultures galleries. 330 $a"Canada's brand of nationalism celebrates diversity--so long as it doesn't challenge the unity, authority, or legitimacy of the state. Caitlin Gordon-Walker explores this tension between unity and diversity in three nationally recognized museums, institutions that must make judgments about what counts as "too different" in order to celebrate who we are as a people and nation through exhibits, programs, and design. Although the contradictions that lie at the heart of multicultural nationalism have the potential to constrain political engagement and dialogue, the sensory feasts on display in Canada's museums provide a space for citizens to both question and renegotiate the limits of their national vision."--$cProvided by publisher. 606 $aMulticulturalism$zCanada$vCase studies 606 $aMuseum exhibits$xPolitical aspects$zCanada$vCase studies 606 $aMuseum exhibits$xSocial aspects$zCanada$vCase studies 606 $aNationalism$zCanada$vCase studies 606 $3(DE-601)104162430$3(DE-588)4041282-9$aNationalbewusstsein$2gnd 606 $3(DE-601)104279435$3(DE-588)4129601-1$aAusstellung$2gnd 606 $3(DE-601)105067342$3(DE-588)4214151-5$aMultikulturelle Gesellschaft$2gnd 606 $3(DE-601)106221485$3(DE-588)4040795-0$aMuseum$2gnd 606 $aART / Museum Studies$2bisacsh 615 0$aMulticulturalism 615 0$aMuseum exhibits$xPolitical aspects 615 0$aMuseum exhibits$xSocial aspects 615 0$aNationalism 615 7$aNationalbewusstsein 615 7$aAusstellung 615 7$aMultikulturelle Gesellschaft 615 7$aMuseum 615 7$aART / Museum Studies. 676 $a708 700 $aGordon-Walker$b Caitlin$0989419 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910149173303321 996 $aExhibiting nation$92262894 997 $aUNINA LEADER 01040nam a2200289 i 4500 001 991004266236707536 005 20240318160808.0 008 230309s1969 xxu er 000 0 eng d 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a003 084 $aLC QA402 084 $aLC QA402.37 084 $aAMS 37-00 100 1 $aKalman, Rudolf Emil$01368322 245 00$aTopics in mathematical system theory /$cR.E. Kalman, P.L. Falb, M.A. Arbib 260 $aNew York, N.Y. [etc.] :$bMcGraw-Hill,$cc1969 300 $axiv, 358 p. ;$c24 cm 490 0 $aInternational series in pure and applied mathematics / [McGraw-Hill] 504 $aIncludes bibliographic references (p. [341]-348) and indexes 650 04$aSystem analysis 650 04$aAlgebras, Linear 700 1 $aArbib, Michael Anthony 700 1 $aFalb, Peter L. 830 0$aInternational series in pure and applied mathematics 912 $a991004266236707536 996 $aTopics in mathematical system theory$93393680 997 $aUNISALENTO