LEADER 03648nam 2200685 450 001 9910136579803321 005 20161017155844.0 010 $a1-5225-0906-2 024 7 $a10.4018/978-1-5225-0905-9 035 $a(CKB)3710000000907895 035 $a(MiAaPQ)EBC4717529 035 $a(CaBNVSL)gtp00566464 035 $a(OCoLC)960848596 035 $a(IGIG)00152796 035 $a(EXLCZ)993710000000907895 100 $a20161012d2017 fy 0 101 0 $aeng 135 $aurbn||||m|||a 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aOpen source solutions for knowledge management and technological ecosystems /$fFrancisco J. Garcia-Pen?alvo and Alicia Garcia-Holgado, editors 210 1$aHershey, Pennsylvania :$cBusiness Science Reference,$d2017. 210 4$d©2017 215 $aPDFs (296 pages) $cillustrations 225 1 $aAdvances in Knowledge Acquisition, Transfer, and Management (AKATM) Book Series,$x2326-7615 311 $a1-5225-0905-4 320 $aIncludes bibliographical references and index. 327 $aEnhancing education for the knowledge society era with learning ecosystems / Francisco J. Garci?a-Pen?alvo [and 7 others] -- Tools interoperability for learning management systems / Nikolas Galanis [and 3 others] -- Technological ecosystem maps for IT governance: application to a higher education institution / Rafael Molina-Carmona [and 5 others] -- Gamification ecosystems: current state and perspectives / Velimir Stavljanin, Miroslav Minovic -- Long-term analysis of the development of the open ACS community framework / Michael Aram, Stefan Koch, Gustaf Neumann -- Need of the research community: open source solution for research knowledge management / Dhananjay S. Deshpande, Pradeep R. Kulkarni, Pravin S. Metkewar -- Software engineering for technological ecosystems / Rajeshwar Vayyavur -- Knowledge structuring for sustainable development and the Hozo tool / Jenny S. Huang, Kouji Kozaki, Terukazu Kumazawa -- Trying to go open: knowledge management in an academic journal / O?zgu?n Imre. 330 3 $a"This book addresses the issues surrounding the search for each organization's unique data management needs, defining the tools necessary to fulfill them within their technological ecosystem, along with the selection, interoperability, and integration of these tools"--Provided by publisher. 410 0$aAdvances in knowledge acquisition, transfer, and management (AKATM) book series. 606 $aOpen source software 606 $aSoftware ecosystems 606 $aInformation technology$xManagement 606 $aKnowledge management 610 $aGamification ecosystems 610 $aKnowledge structuring 610 $aLearning ecosystems 610 $aLearning management systems 610 $aOpenACS community framework 610 $aResearch communities 610 $aSustainable development 610 $aTechnological ecosystem maps 610 $aTool interoperability 610 $aUser-centered design 615 0$aOpen source software. 615 0$aSoftware ecosystems. 615 0$aInformation technology$xManagement. 615 0$aKnowledge management. 676 $a005.3 700 $aGarcia-Penalvo$b Francisco J.$01247820 702 $aGarci?a Pen?alvo$b Francisco Jose?$f1971- 702 $aGarcia-Holgado$b Alicia$f1986- 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910136579803321 996 $aOpen source solutions for knowledge management and technological ecosystems$92892448 997 $aUNINA LEADER 00930nam0 22002411i 450 001 UON00207890 005 20231205103322.145 100 $a20030730d1978 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aˆThe ‰ long shadow$ereflections on the second world war era$fLisle A. Rose 210 $aLondon$cGreenwood$d1978. 224 p. ; 21 cm. 410 1$1001UON00174215$12001 $aContributions in American History$v70 620 $aGB$dLondon$3UONL003044 700 1$aROSE$bLisle A.$3UONV123559$0681533 712 $aGreenwood Press$3UONV246063$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00207890 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI IV POL A 1111 $eSI SC 9518 5 1111 996 $aLong shadow$91258889 997 $aUNIOR LEADER 03782nam 2200505Ia 450 001 9910437576903321 005 20200520144314.0 010 $a1-4471-4941-6 024 7 $a10.1007/978-1-4471-4941-5 035 $a(OCoLC)826292328 035 $a(MiFhGG)GVRL6WPT 035 $a(CKB)2670000000341762 035 $a(MiAaPQ)EBC1156142 035 $a(EXLCZ)992670000000341762 100 $a20100125d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aEfficient algorithms for discrete wavelet transform $ewith applications to denoising and fuzzy inference systems /$fK. K. Shukla, Arvind K. Tiwari 205 $a1st ed. 2013. 210 $aLondon $cSpringer London $cImprint: Springer$d2013 215 $a1 online resource (ix, 91 pages) $cillustrations (some color) 225 0 $aSpringerBriefs in computer science 300 $a"ISSN: 2191-5768." 311 $a1-4471-4940-8 320 $aIncludes bibliographical references. 327 $aIntroduction -- Filter Banks and DWT -- Finite Precision Error Modeling and Analysis -- PVM Implementation of DWT-Based Image Denoising -- DWT-Based Power Quality Classification -- Conclusions and Future Directions. 330 $aTransforms are an important part of an engineer?s toolkit for solving signal processing and polynomial computation problems. In contrast to the Fourier transform-based approaches where a fixed window is used uniformly for a range of frequencies, the wavelet transform uses short windows at high frequencies and long windows at low frequencies. This way, the characteristics of non-stationary disturbances can be more closely monitored. In other words, both time and frequency information can be obtained by wavelet transform. Instead of transforming a pure time description into a pure frequency description, the wavelet transform finds a good promise in a time-frequency description. Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in digital signal processing (speech and image processing), communication, computer science and mathematics. Wavelet transforms are known to have excellent energy compaction characteristics and are able to provide perfect reconstruction. Therefore, they are ideal for signal/image processing. The shifting (or translation) and scaling (or dilation) are unique to wavelets. Orthogonality of wavelets with respect to dilations leads to multigrid representation. The nature of wavelet computation forces us to carefully examine the implementation methodologies. As the computation of DWT involves filtering, an efficient filtering process is essential in DWT hardware implementation. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients. Hence, the overall performance depends significantly on the precision of the intermediate DWT coefficients. This work presents new implementation techniques of DWT, that are efficient in terms of computation requirement, storage requirement, and with better signal-to-noise ratio in the reconstructed signal. 410 0$aSpringerBriefs in computer science. 606 $aDigital images$xMathematics 606 $aWavelets (Mathematics) 615 0$aDigital images$xMathematics. 615 0$aWavelets (Mathematics) 676 $a515.723 700 $aShukla$b K. K$01060929 701 $aTiwari$b Arvind K$01763336 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437576903321 996 $aEfficient algorithms for discrete wavelet transform$94203721 997 $aUNINA