Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book is a collection of articles on the themes of contact mechanics and non-linear dynamics. In particular, the contribution focus on the mechanisms that lead to interfacial energy dissipation, which is a crucial quantity to determine in order to correctly predict the non-linear dynamic response of mechanical systems. The book is a collection of nine journal papers, among those one editorial, one review paper, and seven articles. The papers consider different dissipative mechanisms, such as Coulomb friction, interfacial adhesion, and viscoelasticity, and study how the system response and stability is influenced by the interfacial interactions. The review paper describes old and recent test rigs for friction and wear measurements, focusing on their performance and range of operability.

Technology: general issues --- nonlinear dynamic response --- second harmonics --- experiments --- numerical modelling --- interface stiffness --- adhesion --- roughness --- adhesion enhancement --- JKR model --- Lennard–Jones --- friction testers --- tribometers --- viscoelastic materials --- rubber friction --- tyre --- elbow erosion --- turbulence flow --- gas-solid flow --- corrosion --- numerical simulation --- friction-induced vibrations --- mass-on-moving-belt --- dynamic vibration absorber --- tuned mass damper --- passive vibrations mitigation --- nonlinear dynamics --- basin of attraction --- self-excitation --- bi-stability --- multi-stability --- viscoelasticity --- contact mechanics --- finite element method --- adhesion hysteresis --- rough surfaces --- JKR theory --- friction --- dissipation --- contact nonlinearities

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.

Research & information: general --- Physics --- optical communication --- frame transmission --- synchronization word --- blind recognition --- Hough transform --- machine learning --- optical communications --- patent analysis --- network analysis --- technical analysis --- fiber nonlinearities --- deep learning (DL) --- artificial intelligence (AI) --- BPSK-VSB --- BPSK-SSB --- fiber transmission --- optical neural networks --- time lens --- fiber --- dispersion Fourier transform --- high-flux imaging --- classification --- cancer cell recognition --- photon time stretching (PTS) --- passive optical networks --- laser tuning time --- TWDM --- Dynamic Bandwidth Allocation --- optical access networks --- scheduling --- FSOC system --- omnidirectional communication --- miniaturization --- ASE noise --- ICC --- DWDM-FSO/PON optical fiber network --- hybrid OOK/M-ary DPPM-M-PAPM --- hybrid fiber FSO (HFFSO) link --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Optical fiber communication industry has gained unprecedented opportunities and achieved rapid progress in recent years. However, with the increase of data transmission volume and the enhancement of transmission demand, the optical communication field still needs to be upgraded to better meet the challenges in the future development. Artificial intelligence technology in optical communication and optical network is still in its infancy, but the existing achievements show great application potential. In the future, with the further development of artificial intelligence technology, AI algorithms combining channel characteristics and physical properties will shine in optical communication. This reprint introduces some recent advances in optical fiber communication and optical network, and provides alternative directions for the development of the next generation optical fiber communication technology.

Research & information: general --- Physics --- optical communication --- frame transmission --- synchronization word --- blind recognition --- Hough transform --- machine learning --- optical communications --- patent analysis --- network analysis --- technical analysis --- fiber nonlinearities --- deep learning (DL) --- artificial intelligence (AI) --- BPSK-VSB --- BPSK-SSB --- fiber transmission --- optical neural networks --- time lens --- fiber --- dispersion Fourier transform --- high-flux imaging --- classification --- cancer cell recognition --- photon time stretching (PTS) --- passive optical networks --- laser tuning time --- TWDM --- Dynamic Bandwidth Allocation --- optical access networks --- scheduling --- FSOC system --- omnidirectional communication --- miniaturization --- ASE noise --- ICC --- DWDM-FSO/PON optical fiber network --- hybrid OOK/M-ary DPPM-M-PAPM --- hybrid fiber FSO (HFFSO) link --- optical communication --- frame transmission --- synchronization word --- blind recognition --- Hough transform --- machine learning --- optical communications --- patent analysis --- network analysis --- technical analysis --- fiber nonlinearities --- deep learning (DL) --- artificial intelligence (AI) --- BPSK-VSB --- BPSK-SSB --- fiber transmission --- optical neural networks --- time lens --- fiber --- dispersion Fourier transform --- high-flux imaging --- classification --- cancer cell recognition --- photon time stretching (PTS) --- passive optical networks --- laser tuning time --- TWDM --- Dynamic Bandwidth Allocation --- optical access networks --- scheduling --- FSOC system --- omnidirectional communication --- miniaturization --- ASE noise --- ICC --- DWDM-FSO/PON optical fiber network --- hybrid OOK/M-ary DPPM-M-PAPM --- hybrid fiber FSO (HFFSO) link

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Kinetic energy harvesters are a viable means of supplying low-power autonomous electronic systems for the remote sensing of operations. In this Special Issue, through twelve diverse contributions, some of the contemporary challenges, solutions and insights around the outlined issues are captured describing a variety of energy harvesting sources, as well as the need to create numerical and experimental evidence based around them. The breadth and interdisciplinarity of the sector are clearly observed, providing the basis for the development of new sensors, methods of measurement, and importantly, for their potential applications in a wide range of technical sectors.

Technology: general issues --- History of engineering & technology --- energy harvester --- electromagnetic --- real vibration --- nonlinearities --- piezoelectric energy harvesting --- triboelectric energy harvesting --- low-frequency vibration energy harvesting --- direct-force generator --- vibration --- frequency-up conversion --- PVDF patches --- structural health monitoring --- sensing --- energy harvesting --- pipe leak detection --- computational fluid dynamics --- optimum sensor distribution --- electromagnetic energy harvester --- bi-stable oscillator --- load resistance optimization --- frequency response analysis --- harmonic balance method --- piezoelectric --- piezoelectric ceramic --- lead zirconate titanate (PZT) --- polyvinylidene fluoride (PVDF) --- efficiency --- efficiency measurement --- power conversion --- power flow --- vibrations --- analytical model --- beam model --- equivalent model --- power prediction --- Structural Health Monitoring --- damage detection --- macro fiber composites (MFC) --- damage sensitive feature --- finite element method (FEM) --- vibration energy-harvesting system --- hysteretic effect --- bistable oscillator --- bifurcation --- train --- electromagnetic transducer --- model --- test --- wireless sensor --- SMART materials --- magnetostriction --- Terfenol-D --- smart materials --- wireless sensors --- ultrasonic system --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Kinetic energy harvesters are a viable means of supplying low-power autonomous electronic systems for the remote sensing of operations. In this Special Issue, through twelve diverse contributions, some of the contemporary challenges, solutions and insights around the outlined issues are captured describing a variety of energy harvesting sources, as well as the need to create numerical and experimental evidence based around them. The breadth and interdisciplinarity of the sector are clearly observed, providing the basis for the development of new sensors, methods of measurement, and importantly, for their potential applications in a wide range of technical sectors.

Technology: general issues --- History of engineering & technology --- energy harvester --- electromagnetic --- real vibration --- nonlinearities --- piezoelectric energy harvesting --- triboelectric energy harvesting --- low-frequency vibration energy harvesting --- direct-force generator --- vibration --- frequency-up conversion --- PVDF patches --- structural health monitoring --- sensing --- energy harvesting --- pipe leak detection --- computational fluid dynamics --- optimum sensor distribution --- electromagnetic energy harvester --- bi-stable oscillator --- load resistance optimization --- frequency response analysis --- harmonic balance method --- piezoelectric --- piezoelectric ceramic --- lead zirconate titanate (PZT) --- polyvinylidene fluoride (PVDF) --- efficiency --- efficiency measurement --- power conversion --- power flow --- vibrations --- analytical model --- beam model --- equivalent model --- power prediction --- Structural Health Monitoring --- damage detection --- macro fiber composites (MFC) --- damage sensitive feature --- finite element method (FEM) --- vibration energy-harvesting system --- hysteretic effect --- bistable oscillator --- bifurcation --- train --- electromagnetic transducer --- model --- test --- wireless sensor --- SMART materials --- magnetostriction --- Terfenol-D --- smart materials --- wireless sensors --- ultrasonic system --- energy harvester --- electromagnetic --- real vibration --- nonlinearities --- piezoelectric energy harvesting --- triboelectric energy harvesting --- low-frequency vibration energy harvesting --- direct-force generator --- vibration --- frequency-up conversion --- PVDF patches --- structural health monitoring --- sensing --- energy harvesting --- pipe leak detection --- computational fluid dynamics --- optimum sensor distribution --- electromagnetic energy harvester --- bi-stable oscillator --- load resistance optimization --- frequency response analysis --- harmonic balance method --- piezoelectric --- piezoelectric ceramic --- lead zirconate titanate (PZT) --- polyvinylidene fluoride (PVDF) --- efficiency --- efficiency measurement --- power conversion --- power flow --- vibrations --- analytical model --- beam model --- equivalent model --- power prediction --- Structural Health Monitoring --- damage detection --- macro fiber composites (MFC) --- damage sensitive feature --- finite element method (FEM) --- vibration energy-harvesting system --- hysteretic effect --- bistable oscillator --- bifurcation --- train --- electromagnetic transducer --- model --- test --- wireless sensor --- SMART materials --- magnetostriction --- Terfenol-D --- smart materials --- wireless sensors --- ultrasonic system