LEADER 05255nam 22007335 450 001 996465450503316 005 20200810192245.0 010 $a3-030-49644-9 024 7 $a10.1007/978-3-030-49644-9 035 $a(CKB)4100000011363603 035 $a(DE-He213)978-3-030-49644-9 035 $a(MiAaPQ)EBC6275261 035 $a(PPN)260303925 035 $a(EXLCZ)994100000011363603 100 $a20200731d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Information Systems Development$b[electronic resource] $eInformation Systems Beyond 2020 /$fedited by Alena Siarheyeva, Chris Barry, Michael Lang, Henry Linger, Christoph Schneider 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XII, 213 p. 45 illus., 14 illus. in color.) 225 1 $aLecture Notes in Information Systems and Organisation,$x2195-4968 ;$v39 311 $a3-030-49643-0 327 $a A Metamodeling Approach to Teaching Conceptual Modeling "at Large" -- Beyond Reading Media and Interaction Behaviour: Cognitive Implications of Digitized Reading Patterns -- Gendering and Segregation in Girls? Perceptions of IT as a Career Choice ? A Nexus Analytic Inquiry -- I Rest My Case! The Possibilities and Limitations of Blockchain- Based IP Protection -- Mapping Digital Technologies for Channel Integration Activities -- Assessing Requirements for Decision Support Systems in Humanitarian Operations -- Smart Grid Challenges through the lens of the European General Data Protection Regulation -- Swedish Undergraduate Information Systems Curricula: A Comparative Study -- Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students -- Usable Usability Heuristics for Game Developers -- Towards a Human-Centered Approach for VRET Systems: case study for acrophobia -- Watching People Making Decisions: A Gogglebox on Online Consumer Interaction. 330 $aThis volume features a collection of papers on emerging concepts, significant insights, novel approaches and ideas in information systems development (ISD). It xamines advances in ISD in general and investigates emerging trends that will shape the ISD research agenda beyond 2020. The book gathers selected papers from the 28th International Conference on Information Systems Development held in Toulon, France on August 28-30, 2019. The revised and extended papers explore the mutual influences between information systems and organizational structures, processes and people, and promote research into methodological issues and ways in which the IS designers and developers are transforming organizations and society through information systems. Chapter "Smart Grid Challenges through the lens of the European General Data Protection Regulation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aLecture Notes in Information Systems and Organisation,$x2195-4968 ;$v39 606 $aApplication software 606 $aManagement information systems 606 $aComputer science 606 $aComputers 606 $aUser interfaces (Computer systems) 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aBusiness Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/522030 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 606 $aModels and Principles$3https://scigraph.springernature.com/ontologies/product-market-codes/I18016 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aApplication software. 615 0$aManagement information systems. 615 0$aComputer science. 615 0$aComputers. 615 0$aUser interfaces (Computer systems). 615 14$aInformation Systems Applications (incl. Internet). 615 24$aBusiness Information Systems. 615 24$aManagement of Computing and Information Systems. 615 24$aModels and Principles. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Applications. 676 $a004.21 702 $aSiarheyeva$b Alena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarry$b Chris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLang$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLinger$b Henry$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchneider$b Christoph$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465450503316 996 $aAdvances in Information Systems Development$91997624 997 $aUNISA LEADER 02818oam 2200877 450 001 9910717008703321 005 20220218133738.0 035 $a(CKB)5470000002528123 035 $a(OCoLC)785045355 035 $a(OCoLC)995470000002528123 035 $a(EXLCZ)995470000002528123 100 $a20120408j199206 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCorrelation and prediction of dynamic human isolated joint strength from lean body mass /$fAbhilash K. Pandya [and four others] 210 1$aWashington, D.C. :$cNational Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program,$dJune 1992. 215 $a1 online resource (approximately 70 pages) $cillustrations 225 1 $aNASA/TP ;$v3207 300 $a"June 1992." 320 $aIncludes bibliographical references (page 36). 606 $aJoints$xRange of motion 606 $aTorque$2nasat 606 $aDynamometers$2nasat 606 $aHuman mechanics 606 $aMuscle strength 606 $aBody composition 606 $aArticulations$xAmplitude du mouvement 606 $aCouple (Me?canique) 606 $aDynamome?tres 606 $aMe?canique humaine 606 $aForce musculaire 606 $aComposition corporelle 606 $aBody composition$2fast 606 $aDynamometer$2fast 606 $aHuman mechanics$2fast 606 $aJoints$xRange of motion$2fast 606 $aMuscle strength$2fast 606 $aTorque$2fast 615 0$aJoints$xRange of motion. 615 7$aTorque. 615 7$aDynamometers. 615 0$aHuman mechanics. 615 0$aMuscle strength. 615 0$aBody composition. 615 6$aArticulations$xAmplitude du mouvement. 615 6$aCouple (Me?canique) 615 6$aDynamome?tres. 615 6$aMe?canique humaine. 615 6$aForce musculaire. 615 6$aComposition corporelle. 615 7$aBody composition. 615 7$aDynamometer. 615 7$aHuman mechanics. 615 7$aJoints$xRange of motion. 615 7$aMuscle strength. 615 7$aTorque. 700 $aPandya$b Abhilash K.$01409207 712 02$aUnited States.$bNational Aeronautics and Space Administration.$bScientific and Technical Information Program, 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCQ 801 2$bOCLCF 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCQ 801 2$bOCLCO 801 2$bGPO 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910717008703321 996 $aCorrelation and prediction of dynamic human isolated joint strength from lean body mass$93495025 997 $aUNINA LEADER 06777nam 2201789z- 450 001 9910743274003321 005 20230911 035 $a(CKB)5690000000228568 035 $a(oapen)doab113897 035 $a(EXLCZ)995690000000228568 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRobots and Autonomous Machines for Agriculture Production 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (520 p.) 311 08$a3-0365-8377-7 330 $aGlobal population growth, population aging, declining labor force levels, and rising production costs pose more challenges to agricultural production. In recent years, due to the improved performance of artificial intelligence, precision agriculture, and advanced control, they have been widely used in various agricultural applications, including management, disease detection, crop monitoring, yield estimation, and crop harvesting. Robotics and autonomous machines represent a high-level application of automation in agriculture, based on precise and resource-efficient approaches to sustainably achieve greater efficiency and quality in the production of agricultural products while reducing environmental impact. Reactive technologies based on agricultural robots and autonomous machines are separate but closely related fields covering the application of automated control and robotic platforms at all levels of agricultural production. In robotic or autonomous systems, agricultural sensing and control is particularly difficult due to the complexity of the environment in which agricultural production operates. The open robot system has good expansibility, versatility and flexible operation ability. The establishment of agricultural robot control system can guarantee the reliability and real-time control. A total of 26 papers are included that explores the various ways in which robotics and autonomous machines for agricultural production address general problems. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aadoption 610 $aagricultural robot 610 $aagricultural robotics 610 $aagriculture 610 $aapple detection 610 $aapple grader 610 $aapple harvesting 610 $aartificial intelligence 610 $aattention mechanism SE 610 $aautomated welding 610 $aautomatic peeling machines 610 $aautonomous navigation 610 $aautonomous robots 610 $aautonomous vehicle 610 $abale collection problem 610 $abinocular vision 610 $abroadcast monitoring 610 $aCANopen protocol 610 $acloud computing 610 $acluster fruit 610 $acomputer vision 610 $aconstant-pressure feedback 610 $acotton precision planter 610 $acotton seeder 610 $acotton seeds 610 $acracked eggs 610 $adairy farm 610 $adata acquisition 610 $adeep learning 610 $adensity-based spatial clustering of applications with noise 610 $aDIoU_Loss 610 $adrones 610 $aduckbill 610 $aegg's electrical characteristic model 610 $aelectrical characteristics 610 $afield experiment 610 $afilm recycling 610 $afilm recycling rate 610 $aFin Ray effect 610 $afinite element analysis 610 $aforage handling 610 $afresh weight prediction 610 $afully connected neural network 610 $agarlic clove righting 610 $agarlic seeding 610 $agenetic algorithm 610 $agenetic ant colony stepwise algorithm 610 $aglobal optimization 610 $agrowth model 610 $ahigh-performance film for full recycling 610 $ahigh-speed photography technology 610 $aIndustry 4.0 610 $ainformation perception of fruit trees 610 $aIoT 610 $ajujube pruning 610 $akinematic analysis 610 $aleast-square 610 $alightning attachment procedure optimization 610 $amachine learning 610 $amachine vision 610 $amanipulator 610 $aMask R-CNN 610 $amicrocurrent signal analysis 610 $amish 610 $amissed broadcast monitoring 610 $amobile manipulation 610 $amotion planning 610 $amotor-driven 610 $amultiarm harvesting trajectory optimization 610 $amultiobjective optimization 610 $an/a 610 $anaive Bayesian network 610 $anavigation line extraction 610 $aneighborhood collection 610 $ano-tillage 610 $anondestructive detection 610 $aobstacle avoidance 610 $aoptimization and optimal control 610 $aorchard machinery 610 $aorientation recognition 610 $apath extraction 610 $apath planning 610 $aperformance test 610 $aphenotyping 610 $aphotoelectric sensor 610 $apicking manipulator 610 $apicking robot 610 $apineapple eye 610 $apoint cloud registration of fruit trees 610 $apoultry eggs 610 $aprecision agriculture 610 $aprecision planter 610 $apusher robot 610 $arecognition 610 $aregression superposition 610 $aresidual network 610 $arobotic pest control 610 $arobots 610 $ashrimp 610 $aShufflenetV2 610 $aSimufact Welding 610 $askeleton extraction 610 $aslip detection 610 $asmart production 610 $asoft gripper 610 $asolar greenhouse 610 $asowing quality 610 $astep-size dichotomy 610 $astereo matching 610 $astereo-matching 610 $astraw-rotting fungus 610 $asubstrate-cultivated lettuce 610 $atactile perception 610 $atechnology 610 $athree-dimensional 610 $atiller counting 610 $aTO-RRT 610 $aunmanned vehicles 610 $aviticulture 610 $awavelet scattering convolutional network 610 $awelding robot 610 $aYOLOv5 610 $aYOLOX 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743274003321 996 $aRobots and Autonomous Machines for Agriculture Production$93560538 997 $aUNINA