01510nam a22002651i 450099100401741970753620040712105536.0040802s1977 it |||||||||||||||||ita b13160072-39ule_instARCHE-111268ExLBiblioteca InterfacoltàitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.338.9Italia.Commissione parlamentare d'inchiesta sulle strutture, sulle condizioni e sui livelli dei trattamenti retributivi e normativi423419Relazione della commissione parlamentare d'inchiesta sulle strutture, sulle condizioni e sui livelli dei trattamenti retributivi e normativi :legge 11 dicembre 1975, n.625. art.5 : comunicata alle presidenze delle Camere il 16 novembre 1977[S.l. :s.n.,1977?]755 p. ;31 cmIn testa al front.: Camera dei deputati-Senato della repubblica, 7. legislatura, Doc. 23., n.5Politica economicaItaliaInchieste parlamentariSalariItaliaInchieste parlamentari.b1316007202-04-1405-08-04991004017419707536LE002 Atti Parlamentari 412002000432223le002C. 1-E0.00-no 00000.i1379905805-08-04Relazione della commissione parlamentare d'inchiesta sulle strutture, sulle condizioni e sui livelli dei trattamenti retributivi e normativi311521UNISALENTOle00205-08-04ma -itait 0103903nam 22006015 450 991030056010332120200706013511.03-319-98929-410.1007/978-3-319-98929-7(CKB)4100000006996094(MiAaPQ)EBC5530931(DE-He213)978-3-319-98929-7(PPN)231462182(EXLCZ)99410000000699609420181001d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHigh-Rate, High-Dimensional Quantum Key Distribution Systems /by Nurul T. Islam1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (140 pages)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-50533-319-98928-6 Chapter1. Introduction -- Chapter2. Building blocks of Quantum Key Distribution -- Chapter3. High-Dimensional Time-Phase QKD -- Chapter4. Unstructured high-dimensional Time-Phase QKD -- Chapter5. Scalable High-Dimensional Time-bin QKD -- Chapter6. Cloning of high-dimensional quantum states -- Chapter7. Conclusions and Future Experiments.This book describes a broad research program on quantum communication. Here, a cryptographic key is exchanged by two parties using quantum states of light and the security of the system arises from the fundamental properties of quantum mechanics. The author developed new communication protocols using high-dimensional quantum states so that more than one classical bit is transferred by each photon. This approach helps circumvent some of the non-ideal properties of the experimental system, enabling record key rates on metropolitan distance scales. Another important aspect of the work is the encoding of the key on high-dimensional phase-randomized weak coherent states, combined with so-called decoy states to thwart a class of possible attacks on the system. The experiments are backed up by a rigorous security analysis of the system, which accounts for all known device non-idealities. The author goes on to demonstrate a scalable approach for increasing the dimension of the quantum states, and considers attacks on the system that use optimal quantum cloning techniques. This thesis captures the current state-of-the-art of the field of quantum communication in laboratory systems, and demonstrates that phase-randomized weak coherent states have application beyond quantum communication.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053Quantum computersSpintronicsQuantum opticsLasersPhotonicsQuantum Information Technology, Spintronicshttps://scigraph.springernature.com/ontologies/product-market-codes/P31070Quantum Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/M14070Quantum Opticshttps://scigraph.springernature.com/ontologies/product-market-codes/P24050Optics, Lasers, Photonics, Optical Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/P31030Quantum computers.Spintronics.Quantum optics.Lasers.Photonics.Quantum Information Technology, Spintronics.Quantum Computing.Quantum Optics.Optics, Lasers, Photonics, Optical Devices.004.1Islam Nurul Tauthttp://id.loc.gov/vocabulary/relators/aut835289BOOK9910300560103321High-Rate, High-Dimensional Quantum Key Distribution Systems1866756UNINA04856nam 2201033z- 450 991056646250332120220506(CKB)5680000000037756(oapen)https://directory.doabooks.org/handle/20.500.12854/81026(oapen)doab81026(EXLCZ)99568000000003775620202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Signal Processing in Wearable Sensors for Health MonitoringBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (206 p.)3-0365-3887-9 3-0365-3888-7 Smart, wearables devices on a miniature scale are becoming increasingly widely available, typically in the form of smart watches and other connected devices. Consequently, devices to assist in measurements such as electroencephalography (EEG), electrocardiogram (ECG), electromyography (EMG), blood pressure (BP), photoplethysmography (PPG), heart rhythm, respiration rate, apnoea, and motion detection are becoming more available, and play a significant role in healthcare monitoring. The industry is placing great emphasis on making these devices and technologies available on smart devices such as phones and watches. Such measurements are clinically and scientifically useful for real-time monitoring, long-term care, and diagnosis and therapeutic techniques. However, a pertaining issue is that recorded data are usually noisy, contain many artefacts, and are affected by external factors such as movements and physical conditions. In order to obtain accurate and meaningful indicators, the signal has to be processed and conditioned such that the measurements are accurate and free from noise and disturbances. In this context, many researchers have utilized recent technological advances in wearable sensors and signal processing to develop smart and accurate wearable devices for clinical applications. The processing and analysis of physiological signals is a key issue for these smart wearable devices. Consequently, ongoing work in this field of study includes research on filtration, quality checking, signal transformation and decomposition, feature extraction and, most recently, machine learning-based methods.History of engineering & technologybicsscTechnology: general issuesbicsscAnomaly Detectionarterial blood pressureartificial neural networkautomated dietary monitoringbehavioral signalsbiomedical signal processingblind source separationCardiovascular Diseasecentral venous pressurecontinuous arterial blood pressuredeep convolutional autoencoderdiastolic blood pressuredrowsiness detectioneating detectioneating timing error analysisECGEEGelectrocardiographyextreme learning machinefrequency-domain featuresgenetic algorithmheart rate measurementhemodynamicsHill muscle modelindependent component analysisintracranial pressurejoint moment predictionlong short-term memorymachine learningMachine Learningmotion artifactmulti-wavelengthmulticriteria optimizationmultilayer perceptronmyocardial infarctionn/anon-invasive systemonline input variablespain detectionphotoplethysmographyphysiological signalspulmonary arterial pressureremote BCGremote HRremote PPGReviewSignal Processingsmart eyeglassessplinestress detectionsystolic blood pressurevectorcardiographywearable health monitoringwearable sensorHistory of engineering & technologyTechnology: general issuesAbbod Maysamedt1326293Shieh Jiann-ShingedtAbbod MaysamothShieh Jiann-ShingothBOOK9910566462503321Advanced Signal Processing in Wearable Sensors for Health Monitoring3037274UNINA