Smart mems and sensor systems /:
In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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London :
Imperial College Press,
©2006.
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| Schriftenreihe: | Online access with JISC subscription agreement: Knovel.
Catalogued Knovel SJ. |
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| Online-Zugang: | Volltext |
| Zusammenfassung: | In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective. The combination of MEMS and integrated intelligence has been put forward as a disruptive technology. The full potential of this technology is only evident when it is used to construct very large pervasive sensing systems. The book explores the many different technologies needed to build such systems and integrates knowledge from three different domains: MEMS technology, sensor system electronics and pervasive computing science. Throughout the book a top-down design perspective is taken, be it for the development of a single smart sensor or that of adaptive ad-hoc networks of millions of sensors. For experts in any of the domains named above the book provides the context for their MEMS based design work and an understanding of the role the other domains play. For the generalist (either in engineering or computing) or the technology manager the underpinning knowledge is provided, which can inform specialist decision making. |
| Beschreibung: | 1 online resource (xii, 539 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1860949207 9781860949203 160119269X 9781601192691 9781601198877 1601198876 128186739X 9781281867391 9786611867393 6611867392 |
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| 100 | 1 | |a Gaura, Elena. |0 http://id.loc.gov/authorities/names/nb2003022245 | |
| 245 | 1 | 0 | |a Smart mems and sensor systems / |c Elena Gaura & Robert Newman ; with contributions from Michael Kraft, Andrew Flewitt, Davies William de Lima Monteiro. |
| 260 | |a London : |b Imperial College Press, |c ©2006. | ||
| 300 | |a 1 online resource (xii, 539 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface -- ch. 1. Markets and applications. 1.1. Technology at crossroads. 1.2. The present -- MEMS in the news. 1.3. The past -- great expectations. 1.4. The Future -- maturity and pervasive applications. 1.5. Drivers for progress. 1.6. Progress -- device improvement. 1.7. Progress -- device integration. 1.8. Smart MEMS -- the research agenda. 1.9. Structure of the book -- ch. 2. Microfabrication technologies. 2.1. Introduction. 2.2. Passive components. 2.3. Sensing components. 2.4. Actuating components. 2.5. Materials and growth. 2.6. Fabrication techniques. 2.7. Conclusions -- ch. 3. Sensor electronics. 3.1. Introduction. 3.2. Functions of a sensor system. 3.3. Analogue and digital design options. 3.4. Digital signal processing. 3.5. Interface configurations for different transducer types. 3.6. Integration. 3.7. Design for power awareness. 3.8. Conclusion -- ch. 4. Sensor signal enhancement. 4.1. Errors in sensor systems and measurement quality (non-linearity, cross-sensitivity, offset, parameter drift). 4.2. Sensor calibration and compensation -- techniques and examples. 4.3. System design choices for compensation -- closed loop configurations and other designs. 4.4. Summing up on sensor calibration and compensation -- ch. 5. Case study: control systems for capacitive inertial sensors. 5.1. Introduction. 5.2. Open loop accelerometer. 5.3. Closed loop accelerometer. 5.4. Conclusions -- ch. 6. Case study: adaptive optics and smart VLSI/MEMS systems. 6.1. Introduction. 6.2. Adaptive optics and MEMS systems. 6.3. Operational principles. 6.4. Device implementation. 6.5. Closed-loop adaptive optical system. 6.6. Conclusions and future trends -- ch. 7. Artificial intelligence techniques for microsensors identification and compensation. 7.1. Artificial neural networks: what they are and how they are used for microsensor control and identification. 7.2. Open loop, neural transducer prototype for static/low frequency applications. 7.3. Closed-loop neural network controlled accelerometer. 7.4. The neural network non-linear gain controller. 7.5. Micromachined sensor identification using neural networks. 7.6. Concluding remarks -- ch. 8. Smart, intelligent and cogent MEMS based sensors. 8.1. Introduction. 8.2. Smart, intelligent and cogent sensors -- what do the terms mean. 8.3. What and where is the added value brought by intelligence? 8.4. ANNs and MEMS. 8.5. AI for MEMS intelligence. 8.6. 'Cogent' sensors -- fault detection case study. 8.7. Conclusion -- ch. 9. Sensor arrays and networks. 9.1. Potential of sensor arrays. 9.2. Node design. 9.3. An architectural history of sensor arrays and networks. 9.4. Systems design issues. 9.5. Network technology and topology. 9.6. Conclusion -- ch. 10. Wireless and Ad hoc sensor networks. 10.1. Sensor network applications. 10.2. System designers' role. 10.3. Design assumptions for Ad hoc networks. 10.4. Distributed system design philosophy. 10.5. Network design considerations. 10.6. Layered model. 10.7. Sensor network operating environments. 10.8. Application services. 10.9. Proposed sensor support system architecture. 10.10. Conclusions -- ch. 11. Realising the dream -- a case study. 11.1. Introduction. 11.2. The mission. 11.3. Initial rough design. 11.4. Sensor technology. 11.5. Deployment. 11.6. Operation, control and communication. 11.7. Querying the array. 11.8. A cogent sensor. 11.9. A world of applications. | |
| 520 | |a In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective. The combination of MEMS and integrated intelligence has been put forward as a disruptive technology. The full potential of this technology is only evident when it is used to construct very large pervasive sensing systems. The book explores the many different technologies needed to build such systems and integrates knowledge from three different domains: MEMS technology, sensor system electronics and pervasive computing science. Throughout the book a top-down design perspective is taken, be it for the development of a single smart sensor or that of adaptive ad-hoc networks of millions of sensors. For experts in any of the domains named above the book provides the context for their MEMS based design work and an understanding of the role the other domains play. For the generalist (either in engineering or computing) or the technology manager the underpinning knowledge is provided, which can inform specialist decision making. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Microelectromechanical systems. |0 http://id.loc.gov/authorities/subjects/sh97007351 | |
| 650 | 0 | |a Smart structures. |0 http://id.loc.gov/authorities/subjects/sh93001064 | |
| 650 | 2 | |a Micro-Electrical-Mechanical Systems |0 https://id.nlm.nih.gov/mesh/D055617 | |
| 650 | 6 | |a Microsystèmes électromécaniques. | |
| 650 | 6 | |a Structures intelligentes. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Electrical. |2 bisacsh | |
| 650 | 7 | |a Microelectromechanical systems |2 fast | |
| 650 | 7 | |a Smart structures |2 fast | |
| 655 | 0 | |a Computer network resources. | |
| 655 | 4 | |a Computer network resources. | |
| 700 | 1 | |a Newman, Robert M. |0 http://id.loc.gov/authorities/names/nb2003022248 | |
| 758 | |i has work: |a Smart MEMS and sensor systems (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGBwDGR33WqYKgvhG69dQq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| contents | Preface -- ch. 1. Markets and applications. 1.1. Technology at crossroads. 1.2. The present -- MEMS in the news. 1.3. The past -- great expectations. 1.4. The Future -- maturity and pervasive applications. 1.5. Drivers for progress. 1.6. Progress -- device improvement. 1.7. Progress -- device integration. 1.8. Smart MEMS -- the research agenda. 1.9. Structure of the book -- ch. 2. Microfabrication technologies. 2.1. Introduction. 2.2. Passive components. 2.3. Sensing components. 2.4. Actuating components. 2.5. Materials and growth. 2.6. Fabrication techniques. 2.7. Conclusions -- ch. 3. Sensor electronics. 3.1. Introduction. 3.2. Functions of a sensor system. 3.3. Analogue and digital design options. 3.4. Digital signal processing. 3.5. Interface configurations for different transducer types. 3.6. Integration. 3.7. Design for power awareness. 3.8. Conclusion -- ch. 4. Sensor signal enhancement. 4.1. Errors in sensor systems and measurement quality (non-linearity, cross-sensitivity, offset, parameter drift). 4.2. Sensor calibration and compensation -- techniques and examples. 4.3. System design choices for compensation -- closed loop configurations and other designs. 4.4. Summing up on sensor calibration and compensation -- ch. 5. Case study: control systems for capacitive inertial sensors. 5.1. Introduction. 5.2. Open loop accelerometer. 5.3. Closed loop accelerometer. 5.4. Conclusions -- ch. 6. Case study: adaptive optics and smart VLSI/MEMS systems. 6.1. Introduction. 6.2. Adaptive optics and MEMS systems. 6.3. Operational principles. 6.4. Device implementation. 6.5. Closed-loop adaptive optical system. 6.6. Conclusions and future trends -- ch. 7. Artificial intelligence techniques for microsensors identification and compensation. 7.1. Artificial neural networks: what they are and how they are used for microsensor control and identification. 7.2. Open loop, neural transducer prototype for static/low frequency applications. 7.3. Closed-loop neural network controlled accelerometer. 7.4. The neural network non-linear gain controller. 7.5. Micromachined sensor identification using neural networks. 7.6. Concluding remarks -- ch. 8. Smart, intelligent and cogent MEMS based sensors. 8.1. Introduction. 8.2. Smart, intelligent and cogent sensors -- what do the terms mean. 8.3. What and where is the added value brought by intelligence? 8.4. ANNs and MEMS. 8.5. AI for MEMS intelligence. 8.6. 'Cogent' sensors -- fault detection case study. 8.7. Conclusion -- ch. 9. Sensor arrays and networks. 9.1. Potential of sensor arrays. 9.2. Node design. 9.3. An architectural history of sensor arrays and networks. 9.4. Systems design issues. 9.5. Network technology and topology. 9.6. Conclusion -- ch. 10. Wireless and Ad hoc sensor networks. 10.1. Sensor network applications. 10.2. System designers' role. 10.3. Design assumptions for Ad hoc networks. 10.4. Distributed system design philosophy. 10.5. Network design considerations. 10.6. Layered model. 10.7. Sensor network operating environments. 10.8. Application services. 10.9. Proposed sensor support system architecture. 10.10. Conclusions -- ch. 11. Realising the dream -- a case study. 11.1. Introduction. 11.2. The mission. 11.3. Initial rough design. 11.4. Sensor technology. 11.5. Deployment. 11.6. Operation, control and communication. 11.7. Querying the array. 11.8. A cogent sensor. 11.9. A world of applications. |
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Markets and applications. 1.1. Technology at crossroads. 1.2. The present -- MEMS in the news. 1.3. The past -- great expectations. 1.4. The Future -- maturity and pervasive applications. 1.5. Drivers for progress. 1.6. Progress -- device improvement. 1.7. Progress -- device integration. 1.8. Smart MEMS -- the research agenda. 1.9. Structure of the book -- ch. 2. Microfabrication technologies. 2.1. Introduction. 2.2. Passive components. 2.3. Sensing components. 2.4. Actuating components. 2.5. Materials and growth. 2.6. Fabrication techniques. 2.7. Conclusions -- ch. 3. Sensor electronics. 3.1. Introduction. 3.2. Functions of a sensor system. 3.3. Analogue and digital design options. 3.4. Digital signal processing. 3.5. Interface configurations for different transducer types. 3.6. Integration. 3.7. Design for power awareness. 3.8. Conclusion -- ch. 4. Sensor signal enhancement. 4.1. Errors in sensor systems and measurement quality (non-linearity, cross-sensitivity, offset, parameter drift). 4.2. Sensor calibration and compensation -- techniques and examples. 4.3. System design choices for compensation -- closed loop configurations and other designs. 4.4. Summing up on sensor calibration and compensation -- ch. 5. Case study: control systems for capacitive inertial sensors. 5.1. Introduction. 5.2. Open loop accelerometer. 5.3. Closed loop accelerometer. 5.4. Conclusions -- ch. 6. Case study: adaptive optics and smart VLSI/MEMS systems. 6.1. Introduction. 6.2. Adaptive optics and MEMS systems. 6.3. Operational principles. 6.4. Device implementation. 6.5. Closed-loop adaptive optical system. 6.6. Conclusions and future trends -- ch. 7. Artificial intelligence techniques for microsensors identification and compensation. 7.1. Artificial neural networks: what they are and how they are used for microsensor control and identification. 7.2. Open loop, neural transducer prototype for static/low frequency applications. 7.3. Closed-loop neural network controlled accelerometer. 7.4. The neural network non-linear gain controller. 7.5. Micromachined sensor identification using neural networks. 7.6. Concluding remarks -- ch. 8. Smart, intelligent and cogent MEMS based sensors. 8.1. Introduction. 8.2. Smart, intelligent and cogent sensors -- what do the terms mean. 8.3. What and where is the added value brought by intelligence? 8.4. ANNs and MEMS. 8.5. AI for MEMS intelligence. 8.6. 'Cogent' sensors -- fault detection case study. 8.7. Conclusion -- ch. 9. Sensor arrays and networks. 9.1. Potential of sensor arrays. 9.2. Node design. 9.3. An architectural history of sensor arrays and networks. 9.4. Systems design issues. 9.5. Network technology and topology. 9.6. Conclusion -- ch. 10. Wireless and Ad hoc sensor networks. 10.1. Sensor network applications. 10.2. System designers' role. 10.3. Design assumptions for Ad hoc networks. 10.4. Distributed system design philosophy. 10.5. Network design considerations. 10.6. Layered model. 10.7. Sensor network operating environments. 10.8. Application services. 10.9. Proposed sensor support system architecture. 10.10. Conclusions -- ch. 11. Realising the dream -- a case study. 11.1. Introduction. 11.2. The mission. 11.3. Initial rough design. 11.4. Sensor technology. 11.5. Deployment. 11.6. Operation, control and communication. 11.7. Querying the array. 11.8. A cogent sensor. 11.9. A world of applications.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective. The combination of MEMS and integrated intelligence has been put forward as a disruptive technology. The full potential of this technology is only evident when it is used to construct very large pervasive sensing systems. The book explores the many different technologies needed to build such systems and integrates knowledge from three different domains: MEMS technology, sensor system electronics and pervasive computing science. Throughout the book a top-down design perspective is taken, be it for the development of a single smart sensor or that of adaptive ad-hoc networks of millions of sensors. For experts in any of the domains named above the book provides the context for their MEMS based design work and an understanding of the role the other domains play. 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| genre | Computer network resources. |
| genre_facet | Computer network resources. |
| id | ZDB-4-EBA-ocn567899022 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:02Z |
| institution | BVB |
| isbn | 1860949207 9781860949203 160119269X 9781601192691 9781601198877 1601198876 128186739X 9781281867391 9786611867393 6611867392 |
| language | English |
| oclc_num | 567899022 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 539 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2006 |
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| publisher | Imperial College Press, |
| record_format | marc |
| series | Online access with JISC subscription agreement: Knovel. Catalogued Knovel SJ. |
| spelling | Gaura, Elena. http://id.loc.gov/authorities/names/nb2003022245 Smart mems and sensor systems / Elena Gaura & Robert Newman ; with contributions from Michael Kraft, Andrew Flewitt, Davies William de Lima Monteiro. London : Imperial College Press, ©2006. 1 online resource (xii, 539 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. Preface -- ch. 1. Markets and applications. 1.1. Technology at crossroads. 1.2. The present -- MEMS in the news. 1.3. The past -- great expectations. 1.4. The Future -- maturity and pervasive applications. 1.5. Drivers for progress. 1.6. Progress -- device improvement. 1.7. Progress -- device integration. 1.8. Smart MEMS -- the research agenda. 1.9. Structure of the book -- ch. 2. Microfabrication technologies. 2.1. Introduction. 2.2. Passive components. 2.3. Sensing components. 2.4. Actuating components. 2.5. Materials and growth. 2.6. Fabrication techniques. 2.7. Conclusions -- ch. 3. Sensor electronics. 3.1. Introduction. 3.2. Functions of a sensor system. 3.3. Analogue and digital design options. 3.4. Digital signal processing. 3.5. Interface configurations for different transducer types. 3.6. Integration. 3.7. Design for power awareness. 3.8. Conclusion -- ch. 4. Sensor signal enhancement. 4.1. Errors in sensor systems and measurement quality (non-linearity, cross-sensitivity, offset, parameter drift). 4.2. Sensor calibration and compensation -- techniques and examples. 4.3. System design choices for compensation -- closed loop configurations and other designs. 4.4. Summing up on sensor calibration and compensation -- ch. 5. Case study: control systems for capacitive inertial sensors. 5.1. Introduction. 5.2. Open loop accelerometer. 5.3. Closed loop accelerometer. 5.4. Conclusions -- ch. 6. Case study: adaptive optics and smart VLSI/MEMS systems. 6.1. Introduction. 6.2. Adaptive optics and MEMS systems. 6.3. Operational principles. 6.4. Device implementation. 6.5. Closed-loop adaptive optical system. 6.6. Conclusions and future trends -- ch. 7. Artificial intelligence techniques for microsensors identification and compensation. 7.1. Artificial neural networks: what they are and how they are used for microsensor control and identification. 7.2. Open loop, neural transducer prototype for static/low frequency applications. 7.3. Closed-loop neural network controlled accelerometer. 7.4. The neural network non-linear gain controller. 7.5. Micromachined sensor identification using neural networks. 7.6. Concluding remarks -- ch. 8. Smart, intelligent and cogent MEMS based sensors. 8.1. Introduction. 8.2. Smart, intelligent and cogent sensors -- what do the terms mean. 8.3. What and where is the added value brought by intelligence? 8.4. ANNs and MEMS. 8.5. AI for MEMS intelligence. 8.6. 'Cogent' sensors -- fault detection case study. 8.7. Conclusion -- ch. 9. Sensor arrays and networks. 9.1. Potential of sensor arrays. 9.2. Node design. 9.3. An architectural history of sensor arrays and networks. 9.4. Systems design issues. 9.5. Network technology and topology. 9.6. Conclusion -- ch. 10. Wireless and Ad hoc sensor networks. 10.1. Sensor network applications. 10.2. System designers' role. 10.3. Design assumptions for Ad hoc networks. 10.4. Distributed system design philosophy. 10.5. Network design considerations. 10.6. Layered model. 10.7. Sensor network operating environments. 10.8. Application services. 10.9. Proposed sensor support system architecture. 10.10. Conclusions -- ch. 11. Realising the dream -- a case study. 11.1. Introduction. 11.2. The mission. 11.3. Initial rough design. 11.4. Sensor technology. 11.5. Deployment. 11.6. Operation, control and communication. 11.7. Querying the array. 11.8. A cogent sensor. 11.9. A world of applications. In recent years, MEMS have revolutionized the semiconductor industry, with sensors being a particularly buoyant sector. Smart MEMS and Sensor Systems presents readers with the means to understand, evaluate, appreciate and participate in the development of the field, from a unique systems perspective. The combination of MEMS and integrated intelligence has been put forward as a disruptive technology. The full potential of this technology is only evident when it is used to construct very large pervasive sensing systems. The book explores the many different technologies needed to build such systems and integrates knowledge from three different domains: MEMS technology, sensor system electronics and pervasive computing science. Throughout the book a top-down design perspective is taken, be it for the development of a single smart sensor or that of adaptive ad-hoc networks of millions of sensors. For experts in any of the domains named above the book provides the context for their MEMS based design work and an understanding of the role the other domains play. For the generalist (either in engineering or computing) or the technology manager the underpinning knowledge is provided, which can inform specialist decision making. English. Microelectromechanical systems. http://id.loc.gov/authorities/subjects/sh97007351 Smart structures. http://id.loc.gov/authorities/subjects/sh93001064 Micro-Electrical-Mechanical Systems https://id.nlm.nih.gov/mesh/D055617 Microsystèmes électromécaniques. Structures intelligentes. TECHNOLOGY & ENGINEERING Electrical. bisacsh Microelectromechanical systems fast Smart structures fast Computer network resources. Newman, Robert M. http://id.loc.gov/authorities/names/nb2003022248 has work: Smart MEMS and sensor systems (Text) https://id.oclc.org/worldcat/entity/E39PCGBwDGR33WqYKgvhG69dQq https://id.oclc.org/worldcat/ontology/hasWork Print version: Gaura, Elena. Smart MEMS and sensor systems. London : Imperial College Press, ©2006 1860944930 9781860944932 (DLC) 2006287240 (OCoLC)73502017 Online access with JISC subscription agreement: Knovel. Catalogued Knovel SJ. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=210814 Volltext |
| spellingShingle | Gaura, Elena Smart mems and sensor systems / Online access with JISC subscription agreement: Knovel. Catalogued Knovel SJ. Preface -- ch. 1. Markets and applications. 1.1. Technology at crossroads. 1.2. The present -- MEMS in the news. 1.3. The past -- great expectations. 1.4. The Future -- maturity and pervasive applications. 1.5. Drivers for progress. 1.6. Progress -- device improvement. 1.7. Progress -- device integration. 1.8. Smart MEMS -- the research agenda. 1.9. Structure of the book -- ch. 2. Microfabrication technologies. 2.1. Introduction. 2.2. Passive components. 2.3. Sensing components. 2.4. Actuating components. 2.5. Materials and growth. 2.6. Fabrication techniques. 2.7. Conclusions -- ch. 3. Sensor electronics. 3.1. Introduction. 3.2. Functions of a sensor system. 3.3. Analogue and digital design options. 3.4. Digital signal processing. 3.5. Interface configurations for different transducer types. 3.6. Integration. 3.7. Design for power awareness. 3.8. Conclusion -- ch. 4. Sensor signal enhancement. 4.1. Errors in sensor systems and measurement quality (non-linearity, cross-sensitivity, offset, parameter drift). 4.2. Sensor calibration and compensation -- techniques and examples. 4.3. System design choices for compensation -- closed loop configurations and other designs. 4.4. Summing up on sensor calibration and compensation -- ch. 5. Case study: control systems for capacitive inertial sensors. 5.1. Introduction. 5.2. Open loop accelerometer. 5.3. Closed loop accelerometer. 5.4. Conclusions -- ch. 6. Case study: adaptive optics and smart VLSI/MEMS systems. 6.1. Introduction. 6.2. Adaptive optics and MEMS systems. 6.3. Operational principles. 6.4. Device implementation. 6.5. Closed-loop adaptive optical system. 6.6. Conclusions and future trends -- ch. 7. Artificial intelligence techniques for microsensors identification and compensation. 7.1. Artificial neural networks: what they are and how they are used for microsensor control and identification. 7.2. Open loop, neural transducer prototype for static/low frequency applications. 7.3. Closed-loop neural network controlled accelerometer. 7.4. The neural network non-linear gain controller. 7.5. Micromachined sensor identification using neural networks. 7.6. Concluding remarks -- ch. 8. Smart, intelligent and cogent MEMS based sensors. 8.1. Introduction. 8.2. Smart, intelligent and cogent sensors -- what do the terms mean. 8.3. What and where is the added value brought by intelligence? 8.4. ANNs and MEMS. 8.5. AI for MEMS intelligence. 8.6. 'Cogent' sensors -- fault detection case study. 8.7. Conclusion -- ch. 9. Sensor arrays and networks. 9.1. Potential of sensor arrays. 9.2. Node design. 9.3. An architectural history of sensor arrays and networks. 9.4. Systems design issues. 9.5. Network technology and topology. 9.6. Conclusion -- ch. 10. Wireless and Ad hoc sensor networks. 10.1. Sensor network applications. 10.2. System designers' role. 10.3. Design assumptions for Ad hoc networks. 10.4. Distributed system design philosophy. 10.5. Network design considerations. 10.6. Layered model. 10.7. Sensor network operating environments. 10.8. Application services. 10.9. Proposed sensor support system architecture. 10.10. Conclusions -- ch. 11. Realising the dream -- a case study. 11.1. Introduction. 11.2. The mission. 11.3. Initial rough design. 11.4. Sensor technology. 11.5. Deployment. 11.6. Operation, control and communication. 11.7. Querying the array. 11.8. A cogent sensor. 11.9. A world of applications. Microelectromechanical systems. http://id.loc.gov/authorities/subjects/sh97007351 Smart structures. http://id.loc.gov/authorities/subjects/sh93001064 Micro-Electrical-Mechanical Systems https://id.nlm.nih.gov/mesh/D055617 Microsystèmes électromécaniques. Structures intelligentes. TECHNOLOGY & ENGINEERING Electrical. bisacsh Microelectromechanical systems fast Smart structures fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97007351 http://id.loc.gov/authorities/subjects/sh93001064 https://id.nlm.nih.gov/mesh/D055617 |
| title | Smart mems and sensor systems / |
| title_auth | Smart mems and sensor systems / |
| title_exact_search | Smart mems and sensor systems / |
| title_full | Smart mems and sensor systems / Elena Gaura & Robert Newman ; with contributions from Michael Kraft, Andrew Flewitt, Davies William de Lima Monteiro. |
| title_fullStr | Smart mems and sensor systems / Elena Gaura & Robert Newman ; with contributions from Michael Kraft, Andrew Flewitt, Davies William de Lima Monteiro. |
| title_full_unstemmed | Smart mems and sensor systems / Elena Gaura & Robert Newman ; with contributions from Michael Kraft, Andrew Flewitt, Davies William de Lima Monteiro. |
| title_short | Smart mems and sensor systems / |
| title_sort | smart mems and sensor systems |
| topic | Microelectromechanical systems. http://id.loc.gov/authorities/subjects/sh97007351 Smart structures. http://id.loc.gov/authorities/subjects/sh93001064 Micro-Electrical-Mechanical Systems https://id.nlm.nih.gov/mesh/D055617 Microsystèmes électromécaniques. Structures intelligentes. TECHNOLOGY & ENGINEERING Electrical. bisacsh Microelectromechanical systems fast Smart structures fast |
| topic_facet | Microelectromechanical systems. Smart structures. Micro-Electrical-Mechanical Systems Microsystèmes électromécaniques. Structures intelligentes. TECHNOLOGY & ENGINEERING Electrical. Microelectromechanical systems Smart structures Computer network resources. |
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| work_keys_str_mv | AT gauraelena smartmemsandsensorsystems AT newmanrobertm smartmemsandsensorsystems |