LEADER 04521nam 22007215 450 001 9910647773303321 005 20251009073501.0 010 $a9789811996092$b(electronic bk.) 010 $z9789811996085 024 7 $a10.1007/978-981-19-9609-2 035 $a(MiAaPQ)EBC7191153 035 $a(Au-PeEL)EBL7191153 035 $a(CKB)26089741900041 035 $a(DE-He213)978-981-19-9609-2 035 $a(EXLCZ)9926089741900041 100 $a20230201d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aShrinking Japan and Regional Variations: Along the Tokaido /$fby Fumie Kumagai 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (139 pages) 225 1 $aPopulation Studies of Japan,$x2198-2732 300 $aIncludes index. 311 08$aPrint version: Kumagai, Fumie Shrinking Japan and Regional Variations: along the Tokaido Singapore : Springer,c2023 9789811996085 327 $aChapter 1: Introduction: Shrinking Japan, the Goki-Shichido, the Tokaido, the Municipal Power, and the Methodology -- Chapter 2: Shizuoka Prefecture along the Tokaido of the Goki-Shichido and Regional Variations -- Chapter 3: Mie Prefecture along the Tokaido of the Goki-Shichido and Regional Variations -- Chapter 4: Epilogue: What Will the Population Be Along the Tokaido beyond the Coronavirus Pandemic. 330 $aTaking the Goki-Shichido (Five Home Provinces and Seven Circuits of Ancient Japan) as a theoretical framework, this book examines shrinking Japan from a regional variation perspective by municipality along the ancient Tokaido, which comprises 15 provinces, and seven prefectures today. The study identifies the principal explanatory factors based on the small area data of e-Stat through GPS statistical software tools such as G-census and EvaCva, within a historical perspective. This historical knowledge helps in understanding the significance of the regional cultural heritage that remains in each municipality today. The book pays special attention to municipal variations within the same prefecture, presenting a completely unique approach from what other researchers have pursued. This volume studies two present-day prefectures along the ancient Tokaido for detailed analyses of the impacts of regional variations of population decline in Japan. They are Shizuoka Prefecture, made upof the former Tootoumi, Suruga, and Izu provinces, and Mie Prefecture, formed by the ancient provinces of Iga, Ise, Shima, and the eastern part of Kii as examples to show the impacts of municipal power on regional variations of shrinking Japan. The reasons for selecting these two prefectures of the ancient Tokaido are twofold. First, they are made up of a multiple number of the ancient provinces. Second, other prefectures that fall under the Tokaido have been studied in the previous works of the present author by adopting the same methods of analyses. Thus, by presenting unique analyses of regional variations on small municipal levels, with demographic variables, social indicators, and historical identities of municipalities in Shizuoka and Mie prefectures along the Tokaido, this book offers suggestions for effective regional policy to revitalize shrinking Japan to a sustainable one. 410 0$aPopulation Studies of Japan,$x2198-2732 606 $aDemography 606 $aPopulation 606 $aHuman geography 606 $aGeography 606 $aSociology 606 $aSocial groups 606 $aSpatial Demography 606 $aPopulation and Demography 606 $aApplied Demography 606 $aHuman Geography 606 $aRegional Geography 606 $aSociology of Family, Youth and Aging 615 0$aDemography. 615 0$aPopulation. 615 0$aHuman geography. 615 0$aGeography. 615 0$aSociology. 615 0$aSocial groups. 615 14$aSpatial Demography. 615 24$aPopulation and Demography. 615 24$aApplied Demography. 615 24$aHuman Geography. 615 24$aRegional Geography. 615 24$aSociology of Family, Youth and Aging. 676 $a304.6 700 $aKumagai$b Fumie $0917616 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910647773303321 996 $aShrinking Japan and Regional Variations$92569273 997 $aUNINA LEADER 03134nam 22005773 450 001 9911020021603321 005 20251116145432.0 010 $a9781394183111 010 $a1394183119 010 $a9781394183104 010 $a1394183100 010 $a9781394183098 010 $a1394183097 035 $a(MiAaPQ)EBC31745421 035 $a(Au-PeEL)EBL31745421 035 $a(CKB)36456010500041 035 $a(Exl-AI)31745421 035 $a(Perlego)4617491 035 $a(OCoLC)1465274032 035 $a(EXLCZ)9936456010500041 100 $a20241102d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIoT Signal Detection 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a1 online resource (208 pages) 311 08$a9781394183081 311 08$a1394183089 327 $aCover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Algorithms -- About the Authors -- Foreword -- Preface -- Acknowledgements -- Acronyms -- Chapter 1 Introduction -- 1.1 IoT in 5G -- 1.1.1 What Is IoT -- 1.1.2 Applications of IoT -- 1.1.3 Future of IoT -- 1.2 IoT Networks -- 1.3 Characteristics of IoT Signals -- 1.4 Outline -- Chapter 2 Background of IoT Signal Detection -- 2.1 Random Access -- 2.1.1 Grant?based Random Access -- 2.1.2 Grant?free Random Access -- 2.2 Signal Detection Methods -- 2.2.1 System Model -- 2.2.2 ML Detection -- 2.2.3 ZF Detection -- 2.2.4 MMSE Detection -- 2.2.5 MCMC Detection -- 2.2.6 VI Detection$7Generated by AI. 330 $aThis book delves into the complexities and methodologies of signal detection within the Internet of Things (IoT) context, particularly in relation to 5G technology. It provides a comprehensive exploration of various signal detection techniques, including sparse signal detection, collided signal detection, and multiple delay estimation. The book is designed to serve as a resource for both graduate students and practitioners in the fields of communications and technology, offering insights into the challenges of IoT networks, signal collision, and access congestion. It also covers advanced topics such as backscatter signal detection, NOMA signal analysis, and multicluster coordination in signal design. The authors aim to equip readers with the necessary theoretical and practical knowledge to address current and future challenges in IoT signal detection.$7Generated by AI. 606 $aSignal processing$7Generated by AI 606 $aInternet of things$7Generated by AI 615 0$aSignal processing 615 0$aInternet of things 676 $a004.678 700 $aHan$b Rui$01838477 701 $aWang$b Jingjing$01061629 701 $aBai$b Lin$0945765 701 $aLiu$b Jianwei$01368631 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020021603321 996 $aIoT Signal Detection$94417453 997 $aUNINA